Sheree Hughes & Kayli Carrillo 63 min

Improving Sample Prep Efficiency and Data Quality of Challenging DNA Samples


The purification of DNA from forensic samples is usually a time-consuming process, especially for challenging forensic samples. Dr. Sheree Hughes—along with her graduate students Natalia Czado, Kayli Carrillo and Jennifer Snedeker—will present results from a recent study that compares manual DNA purification methods with recently developed automated processes for compromised samples. The studies demonstrated that the newly developed automated method (Applied Biosystems HID NIMBUS Presto), resulted not only in faster turnaround time from purification to results, but also high-quality DNA recovery and streamlined interpretation from multiple challenging forensic sample types. In this webinar, you will be presented with: •Examples of challenging forensic samples such as highly degraded bone, hair, nail and tooth samples from human remains and “touch” evidence and fired cartridge cases purified using the automated system •Data demonstrating high-quality DNA results •The benefits of using an efficient automated DNA purification workflow for challenging samples



0:00

Hello and welcome to Improving Sample Prep Efficiency and Data Quality of Chall

0:04

enging DNA Samples,

0:05

Brought to you by Forensic and Sponsored by Thermo Fisher Scientific.

0:09

My name is Michelle Taylor, Editor-in-Chief of Forensic and I would be your

0:12

moderator throughout.

0:13

For today's webinar, you will earn one hour of Continuing Education Credit.

0:18

Following the

0:18

conclusion of the webinar, you will receive an email with information on how to

0:22

obtain CE Credit

0:23

Documentation. We have a great lineup scheduled to present to you today, but

0:27

before we begin,

0:27

I'd like to take just a moment to cover a few logistics. At the end of the

0:31

presentation,

0:32

we will hold a question and answer session. To ask a question, click on the "

0:36

Ask a Question" tab

0:37

in the upper right corner of the screen. Please also take note that the right

0:40

side of the screen

0:41

features an overview of today's webinar, as well as more information about our

0:44

speakers.

0:45

If you have a technical question during today's event, click on the "Test your

0:49

Connection" button

0:50

at the bottom of the screen. From there, you can access additional webinar

0:53

support.

0:54

We also invite you to use the social media widgets beneath the webinar to share

0:57

with your friends

0:58

and colleagues. Today, you will hear from Dr. Shari Hughes, Associate Professor

1:04

of Forensic

1:04

Science at Sam Houston State University in Texas, as well as a few of her

1:08

graduate students.

1:09

Dr. Hughes completed a PhD in Health Sciences/Frenzic Genetics at Bond

1:13

University on the Gold Coast in

1:15

Australia, investigating forensic DNA typing methods for highly degraded

1:20

samples, such as those

1:21

recovered from mass disasters, missing persons, and historical cases, in

1:25

conjunction with DNA

1:26

repair techniques and phenotypic SNP analysis. Natalia Chado is currently a

1:32

doctoral student at

1:33

Sam Houston State University. She earned her Master's in Forensic Science in

1:38

2015 and completed her

1:39

bachelor's degrees in Biological Sciences and Criminology at North Carolina

1:43

State University in 2013.

1:46

She was a lecturer in Forensic Science at Fayetteville State University from

1:50

2015 to 2020.

1:51

Natalia's research interests include DNA profiling of challenging and degraded

1:56

samples,

1:57

and she has authored/coauthored several papers in this area. She is hoping to

2:01

branch out into

2:02

genetic genealogy and has recently completed Boston University's Genealogical

2:07

Principles course.

2:07

You'll also hear from doctoral student Kaylee Carrillo. Kaylee's research

2:13

interests include

2:14

optimizing DNA collection, extraction, and enhancement methods for low-tem

2:19

plates samples.

2:20

Prior to attending Sam Houston, Kaylee received a Bachelor of Science in

2:24

Biology from the University

2:26

of North Texas. The last doctoral student you will hear from today is Jennifer

2:31

Snedeker.

2:32

She is interested in advancing forensic DNA and human identification methods by

2:36

optimizing

2:36

DNA extraction procedures from skeletal remains and examining novel

2:40

investigative methods for

2:42

these sample types. Her research is focused on highly degraded and challenging

2:46

skeletal samples

2:47

that closely mimic those seen in forensic case work. Prior to beginning her PhD

2:51

research,

2:52

Jennifer received a Bachelor of Science in Human Biology from Michigan State

2:55

University.

2:56

Thank you for joining us for today's webinar. I keep your eyes open for an

3:00

invitation to our

3:01

next one. Now, without further ado, I'll hand it over to Dr Hughes to get us

3:05

started.

3:06

Thank you very much for the opportunity to speak today.

3:10

So first of all, our quick disclaimer is to say that the data and the opinions

3:13

that we are going

3:14

to present today are that of our own and not of of them are fish or scientific.

3:19

Also, I'd like to

3:20

just claim that a lot of the instrumentation and kits are provided by them are

3:24

fish today.

3:25

However, there was no financial enumeration at all. And last but not least was

3:30

also because of

3:31

some of the sensitive nature and imagery in this presentation. We also request

3:35

that there is no

3:36

screenshots or pictures taken of any of those images throughout this

3:40

presentation. Thank you.

3:41

So of course, this work would not be possible without my fantastic team. And I

3:47

am three of my

3:48

PhD students that I have presenting today on each of their representative areas

3:52

, Natalia,

3:53

Kaylee and Jennifer. And you'll hear from those throughout this presentation.

3:57

So overall, the objective of the work that we are presenting today was really

4:02

looking at how we

4:02

can examine the utility of the HID Nimbus Presto system for its effective and

4:08

efficient DNA

4:08

purification from really difficult and challenging sample types that you may

4:13

find in a lot of

4:14

casework. So these were include five and unfired cartridge casings and DNA

4:19

recovered from those

4:21

touched items. Also, other touched items that may be commonly retrieved from

4:25

casework and crime

4:26

scenes such as water bottles and computers and phones, etc. And then also a bit

4:34

of a plethora

4:34

of challenging samples from decomposing cadavers. So we're going to look at

4:38

recovery from

4:39

hair, nails and teeth, as well as some bones from skeletons that have been

4:44

environmentally

4:46

challenged in different ways. So a little bit about the Nimbus Presto system.

4:52

So starting with

4:53

the Kingfish Presto purification system, and this is working on an automated

4:58

magnetic

4:59

powder-cooled base purification system. As you can see, working behind you

5:03

there,

5:04

it's really efficient and effective. And it's quite a swanky little thing that

5:07

works well.

5:08

It actually has a really neat magnetic rod system that has these these tip com

5:14

bs

5:14

that work for the purification. And this nifty little turntable system that

5:20

allows for sample

5:21

handling and being able to load your samples and move them around the deck.

5:27

And of course that system is then coupled with a liquid handling system. And

5:32

the way we've done

5:33

it in our lab is with the Hamilton micro lab Nimbus HD. And it can process, as

5:39

you expect,

5:39

up to 96 samples and does that in a very, very effective way in combination

5:44

with the Kingfish

5:45

Presto. And it's extremely adaptable. It's an adaptable system to into whatever

5:50

platforms that you would

5:51

like in the formats that work for you. And we've found it to be working very

5:56

seamless and efficient

5:57

in our lab once it was up and running. And the scripts that we have on this

6:03

system that we're

6:03

going to talk about today are able to use both the PrEPFiler and the PrEPFiler

6:08

BTA chemistry for

6:10

our sample types. And again, these samples are lysed manually before we put

6:14

them on the machine.

6:15

So we have the lysus step performed first, and then we put it onto the system

6:19

for all of the

6:20

purification after that. So we really does allow for this high throughput

6:26

capability,

6:27

as you would want in a current in a crime working lab, or even in a very high

6:31

throughput research

6:32

lab. And it's a very flexible format. You can do anywhere from four to eight

6:36

samples all the way

6:37

up to 96 on a deck without very little time difference. So it does reduce the

6:42

analyst's

6:42

hands-on time quite significantly. And if you're looking at batches of, say, 12

6:46

samples is what

6:47

you may be looking at, similar to automated, say, on the Automate Express. It's

6:52

essentially 40 minutes

6:53

versus almost two hours if you're doing it even manually by hand, which we will

6:58

be drawing a

6:59

couple of comparisons and conclusions on throughout this presentation. Another

7:06

really handy tool that

7:08

we find is extremely useful in the lab, particularly even just starting with a

7:13

lot of students getting

7:14

familiar with the instrumentation, the software, how to have it working

7:18

properly. The GUI system

7:20

really does make this a piece of cake. It's really quick and easy to follow. It

7:24

's quite intuitive.

7:25

It enables you to custom the adaptability of what you want to use for your user

7:30

preferences

7:31

in terms of plastics and workware. It eliminates the risk of a lot of setup

7:36

error,

7:36

as well as obviously handling contamination. Being able to set up with this GUI

7:41

system allows you

7:42

to make sure that you've got all the chemistry, all of the chemistry, all the

7:45

consumables and all the plastics all in the right place doing the right thing.

7:48

It has a sample and

7:50

reagent tracking capabilities. If that's something that's really important for

7:54

your lab

7:54

and working in with your limb system, etc. Also, a lot of guidance for setup.

8:01

In essence,

8:04

it prevents anything from going wrong. We found that extremely useful and very

8:10

advantageous when

8:10

it comes to the good handling side of things. As you can see, you can just

8:16

choose,

8:17

allows you to walk you through the deck setup. It's very, very easy. It's got

8:22

this swanky little

8:22

color system and it allows you to set up the deck efficiently, effectively and

8:28

correctly every time.

8:30

The two chemistries that we are talking about and that we're looking today and

8:36

we're looking at is

8:36

our prep-filer BTA for all of our bone samples and some of our other casing

8:42

samples as well,

8:43

and also prep-filer for our stock standard, your blood and swabs, etc. Both of

8:47

these

8:48

chemistries for these various types of samples. The scripts are able to very

8:53

effectively work

8:54

your solutions from start to finish on the Kingfisher Presto and limb systems.

9:00

For DNA quantification, after our extracts, with our illusions, run through our

9:09

quantifiler trio quantification kit. Most of you will be familiar with all of

9:14

the targets that are

9:15

used. We have our two human targets, our small and large, which of course

9:18

allows for the degradation

9:21

index to be able to give you some sort of indication of your DNA quality. So,

9:25

DI's 1 to 10 is indicative

9:28

of some slight to moderate degradation, whereas our DI value is greater than 10

9:33

would definitely tells you that there's a significant degradation there.

9:36

Sometimes you would get this undetermined, you're unable to determine your DI.

9:43

Well, of course,

9:45

extreme degradation and or potentially some significant inhibition there as

9:51

well.

9:51

But in terms of other targets, you also have your male target, of course, and

9:56

your IPC,

9:57

which allows you to obviously detect PCR inhibition when your delta IPC from

10:02

your controls, of course,

10:03

is greater than one cycle. In terms of PCR implications, so our STI kit we're

10:09

using for this work

10:10

is the Verifyla Plus PCR implication system. And this is great system for

10:15

really low template

10:16

and challenging samples, which we are going to cover today, is the ability to

10:20

increase your input

10:22

volume, so up to 17 and a half microliters. So this really does allow some

10:26

increased sensitivity

10:27

and being able to put as much of that really low template extract into PCR into

10:33

the PCR reaction.

10:36

We have our 23 autosomal markers, as you would expect in these in these new

10:40

kits.

10:41

We have a Y in Dell and of course a melagenin. And also we have our now two

10:46

internal quality

10:47

control markers. We have one short at around 70 base pairs and then the longer

10:52

at 451.

10:53

And of course, these are used to help basically confirm the success of your PCR

10:59

and also

11:00

confirm some inhibition and degradation within your sample. So as a quick

11:04

reminder of how these

11:05

internal quality control markers work, this is essentially what they look like.

11:08

We've got a nice

11:09

beautiful sample here. Our control markers are nice and balanced. All of our

11:14

peaks look good.

11:14

We've got a really nice nice sample. When we have a sample with a heart with

11:19

some significant

11:19

amount of PCR inhibitors involved, you can see that we have now our large

11:24

quality control marker

11:25

has now dropped out. So this would be either very small or dropped out and

11:29

confirming that

11:30

we've got some significant inhibition here as opposed to degradation where our

11:34

markers are

11:35

nice and reasonably balanced. And however, we do see that significant ski slope

11:39

and decrease in

11:40

our peak heights, particularly and drop out of our larger markers, as you'd

11:44

expect. So of course,

11:45

these markers are extremely useful for being able to get a snapshot and

11:49

confirmation of the

11:50

quality of your sample and your PCR reaction, how it's worked. And of course,

11:57

then your PCR

11:59

profile in front of you. In terms of our analysis, here are the students in

12:04

their room

12:04

heart at it. So of course, with the Verifala Plus, just very quickly, we

12:09

targeted a 500 picogram

12:12

DNA amount for our PCR. And only throughout all of these studies, only samples

12:18

that yielded some

12:19

detectable DNA, so one or greater than one picogram per microliter were

12:23

continued on for STR typing.

12:26

All of these samples were run and were separated and detected using with the

12:31

fragment analysis on

12:32

3500. And our data analysis was performed with gene macro IDX version 1.6, with

12:39

our analytical

12:39

threshold being 100 RFUs and our ST being 700 RFUs. So overall, the workflow

12:47

for this study that

12:48

we're presenting today is looking at a combination of difficult samples. So

12:52

here are our brass casings

12:54

that were collected with using various methods, which Natalia is going to talk

12:58

about. We then have

12:59

some swab touch items in some challenging samples from decomposed cadavers that

13:04

Kaylee is going to

13:06

discuss. And then lastly, with our skeletal remains, we have some buried

13:11

surface burials,

13:12

some different types of bones, et cetera, from different out from different

13:16

environmental

13:17

insults that Jennifer is going to talk about. All of these samples were then

13:21

extra DNA extraction and purification was performed on the nimbis presto.

13:26

HIV nimbis presto and then run through DNA quantification with quantifier trio

13:33

as we as I explained,

13:35

and also STR typing with performed with varicyla plus. We also ran some

13:39

comparisons by performing

13:41

all of these samples were ran concurrently with using Prpfyla or Prpfyla BTA as

13:47

determined by

13:48

sample type and these were performed manually as well. So we've got comparison

13:53

of on the automated platform versus manually performed in the lab and we're

13:57

going to present

13:57

those results too. So I'm now going to hand over to Natalia to run you through

14:02

all of the

14:02

results from the brass casings. Thanks Natalia over to you. Thank you Dr.

14:06

Hughes.

14:07

As many of you know firearms and ammunition are some of the most common types

14:11

of evidence submitted

14:12

to crime laboratories. DNA can be deposited on the surfaces of guns and

14:17

cartridges during the

14:18

handling and firing of a weapon. Using this DNA to generate profiles can help

14:23

investigators

14:24

identify suspects and persons of interest in violent crimes. However, obtaining

14:30

DNA profiles

14:30

from these samples has historically been difficult. The difficulties stem from

14:36

several factors.

14:38

First, these types of samples normally have low amounts of DNA deposited on the

14:43

surfaces.

14:43

They are most often thought of as touch or low template samples. In addition to

14:49

this,

14:49

any DNA present could exist as a mixture further complicating DNA profile

14:54

interpretation.

14:55

Lastly, the metal composition of the weapons and ammo plays a role in DNA

15:01

recovery and

15:01

genotyping. Metal ions combined at several different sites on the DNA template.

15:07

These

15:08

strong bonds form metal ion complexes that can make DNA recovery from the metal

15:13

surface more

15:13

difficult. So not only do analysts have to consider how best to recover low

15:18

amounts of template,

15:19

they must also consider whether their method will adequately release the DNA

15:23

from the surface.

15:24

Also, these complexes can break one or both strands of the DNA template

15:31

depending on the binding site.

15:33

Although many types of metals interact with DNA, obtaining DNA profiles from

15:38

ammunition with

15:39

copper or brass surfaces is most challenging. This is due to copper's ability

15:45

to bind up

15:45

more sites on the DNA and produce reactive oxygen species that lead to

15:50

oxidative damage of the

15:52

DNA template. Damage and degradation of the DNA is detrimental to our size-

15:57

based detection methods,

15:59

and the presence of metal ions in PCR can inhibit the polymerase. So to

16:04

summarize this,

16:05

we have an issue collecting enough DNA. The DNA we collect is often fragmented

16:11

and bound to ions,

16:12

and the ions are inhibiting the amplification of the low amounts of good

16:16

quality DNA template,

16:17

not really a recipe for success. For these reasons, there has been a lot of

16:25

research over

16:25

the years in how best to collect low template DNA, especially from the surface

16:29

of ammunition.

16:31

One of the most popular DNA collection methods is double swabbing, where the

16:36

first swab is moistened

16:37

with sterile water, and a subsequent dry swab is used to collect any remaining

16:41

genetic material.

16:42

Although this method is inexpensive and works for a variety of surfaces,

16:48

there has been mixed success reported for collecting DNA from ammunition.

16:53

To improve DNA recovery, soaking has been tested. There have been several

16:57

different

16:57

protocols proposed. The one developed by San Diego PD's Forensic Biology Lab is

17:02

probably the most

17:03

well-known. However, increased success was only minimal using this collection

17:07

method.

17:08

Both swabbing and soaking prior to DNA lysis and purification do have the

17:14

inherent risk of losing

17:16

precious amounts of DNA. Therefore, direct PCR has been examined. By bypassing

17:22

extraction

17:23

and adding the swab directly into a PCR reaction, about 60 to 70 percent more

17:29

DNA could be amplified.

17:30

Although direct PCR works great for other low template samples, success has

17:35

been inconsistent for

17:36

DNA recovered from metallic surfaces and ammunition. And this is probably due

17:42

to the continued presence

17:43

of metal ions in PCR without the purification step. Because of the impact that

17:48

metal ions are thought

17:49

to have on downstream genotyping, the use of metal ion chelators has been

17:53

examined. One study

17:55

examined moistening a swab with .5 molar EDTA rather than sterile water. The

18:01

researchers reported

18:02

that less oxidation took place and enough good quality DNA template was

18:07

recovered to successfully

18:08

sequence mitochondrial DNA. More recently, a rinse swab protocol using a

18:14

solution comprising bovine

18:16

serum albumin and glycine, glycine, histidine, tripeptides. Both great metal

18:22

ion chelators

18:23

has been proposed. The solution is referred to as BT mix and has been

18:27

moderately more successful

18:29

than previous collection methods, but is time consuming and does not

18:33

consistently generate

18:34

complete STR profiles. Currently, no method has consistently recovered enough

18:40

good quality

18:40

DNA to generate full profiles. Collecting the small amounts of DNA deposited is

18:46

the most important

18:47

consideration for these types of samples, therefore more research in

18:50

determining a more

18:51

effective collection method is warranted. In a recent study completed at Sam

18:56

Houston State University,

18:58

we determined that automated extraction methods based on magnetic beads could

19:02

adequately remove

19:03

inhibitory metal ions. Using prepphiler BTA chemistry, we can still obtain full

19:09

DNA profiles

19:10

in the presence of .1 molar copper and .03 molar zinc, which are concentrations

19:16

much higher than

19:17

what would be expected from the surface of ammunition. Because of this, we

19:22

wanted to examine whether

19:24

including prepphiler chemistry during the DNA collection stage and pairing it

19:28

with extraction

19:29

on the HID nimbus presto system could increase both the amount of DNA we

19:34

collect and the number of

19:36

samples we can process in a short period of time. For this portion of study, we

19:43

sterilized 36 cartridges.

19:45

Through some miracle, we were able to get enough rounds of the same type of

19:50

ammunition in the middle

19:51

of an ammunition shortage. We selected a brand of brass cartridges since these

19:56

are the most problematic

19:57

for DNA profiling. We made buckle cell suspensions from a single donor and

20:02

spotted the equivalent

20:03

of 10 nanograms of DNA onto a marked location on the cartridge. All of our

20:08

samples were fired by

20:10

a male law enforcement officer using a Glock 19. We took 12 of the 36 casings

20:18

and used them to test

20:19

the prepphiler lysis buffers as moistening agents. So six were moistened with

20:24

prepphiler BTA lysis

20:25

buffer and continued on to the BTA extraction protocol on the HID nimbus presto

20:30

system.

20:31

The other six underwent the same process using the standard prepphiler lysis

20:36

buffer.

20:37

The other 24 casings went on to comparison testing. 12 were moistened with

20:43

water and then

20:44

divided between prepphiler and prepphiler BTA extraction on the nimbus. The

20:49

other 12 underwent

20:50

the BT mix rinse swab protocol followed by each type of prepphiler extraction.

20:55

Because the BT mix protocol requires the use of two swabs, they had to be

21:01

placed into separate

21:02

extraction tubes. And after extraction on the nimbus, LU-wits from the same cas

21:06

ings were pooled

21:07

and concentrated to a final volume of 50 microliters. All samples were then

21:13

quantified with

21:13

quantified lertrillo with the addition of BSA. I want to mention that a similar

21:18

workflow was

21:19

repeated for the samples that underwent manual extraction.

21:22

We compared the DNA quant data for all of the automated samples examining DNA

21:30

yield,

21:31

inhibition, and degradation. We did not observe any inhibition,

21:36

but all samples exhibited some level of degradation. DNA was only recovered for

21:41

22 of the 36 samples,

21:44

meaning that 14 of the casings resulted in zero or undetermined amounts of DNA,

21:49

which is not unexpected for fired brass casings. Extremely low amounts of DNA

21:55

were recovered,

21:56

with 134 picograms being the highest total amount recovered. The combination of

22:02

BT mix

22:03

rinse swab collection paired with prepphiler extraction was the most successful

22:12

When we compared manual extraction to automated, there was no trend observed

22:16

for DNA recovery.

22:17

For most samples, automated extraction was able to recover more amplifiable DNA

22:23

However, any differences were not statistically significant.

22:26

We then examined genotyping success. Again, only samples that recovered at

22:33

least one

22:34

picogram per microliter of DNA were amplified. For casings, this means we only

22:39

had three samples

22:40

for both manual and automated extraction move forward to DNA amplification.

22:44

None of the samples generated a complete profile with allele recovery ranging

22:51

between

22:51

two and 17% for our automated samples. Although samples for manual extraction

22:57

were amplified,

22:58

all three exhibited a mixture of an unknown contributor. We have not yet

23:03

completed mixture

23:04

analysis, so these results are not listed here. I think it's important to note

23:09

that none of the

23:09

automated samples exhibited mixtures. This example highlights that processing

23:14

samples in an automated

23:15

workflow decreases the risk of contamination. So we recommend using an

23:20

automated platform for

23:21

DNA extraction from low template samples. That wraps up the results for the cas

23:28

ings portion of

23:29

this study, so now I'll be handing it over to Kaylee to discuss the next

23:32

section.

23:33

Thank you, Natalia. As mentioned, the next sample type we will be discussing is

23:38

touched items.

23:40

Touch DNA is often referred to DNA that is transferred to an object or another

23:45

person during

23:46

physical contact, which is often encountered during property-related crimes.

23:52

Touch items present

23:53

their own unique set of challenges due to the limited amounts of DNA present.

23:58

With low amounts

23:59

of DNA, there can be stochastic effects such as allelic peak height imbalance

24:04

or allelic or locus

24:06

drop-in or drop-out. That can further complicate interpretation. As you can see

24:12

in the photo,

24:12

touch DNA is typically composed of cell-free DNA, endogenous or exogenous nucle

24:18

ated cells,

24:19

fragment-associated residual DNA, which is the result of apoptosis or cell

24:24

death,

24:25

and a nucleic corneocytes. The outermost layer of your skin consists of keratin

24:31

ocytes,

24:31

also known as corneocytes, that have undergone keratinization, so it is thought

24:36

that corneocytes

24:37

do not have a lot of nuclear DNA, and therefore do not constitute a significant

24:43

source for touch DNA.

24:44

However, DNA deposited on touched items is highly variable and not easy to

24:51

predict due to the

24:53

wide variety of factors that can affect touch DNA yield, such as the skin

24:57

shedding status of an

24:59

individual. An individual could have sweaty or dry hands, or the frequency of

25:04

hand washing can

25:05

all lead into this idea of a good versus bad shutter. Another factor to take

25:12

into account

25:13

is the type of contact. Does this person use a little, or a lot of pressure

25:18

when touching the item?

25:19

Also, the substrate surface can affect DNA yields, as DNA yield tends to be

25:25

greater with porous or

25:27

rough surfaces. All these combined factors impact DNA transfer, persistence,

25:33

prevalence,

25:34

and recovery, or TPPR. In order to help recover as much as possible from these

25:41

touch samples,

25:43

there has been an improvement on the increased sensitivity of PCR kits, such as

25:47

global filer

25:48

IQC and verifiler-plus. In this project, two swabs were moistened with DI water

25:55

, and were used to

25:56

sample cell phones, keyboards, and bottles from six individuals. One swab was

26:01

processed using the

26:03

HID Nimbus Presto and the other swab underwent manual extraction. Both methods

26:09

followed the PrEP

26:10

filer kit protocol. Now for our results, we can see that most DNA was recovered

26:16

from our keyboards

26:17

and the lowest from our cell phones. But all of our samples had at least .0067

26:23

nanograms per

26:24

microliter amounts of DNA recovered. And degradation was not an issue for our

26:30

samples,

26:31

as we did not see a scree slope effect in our STR profiles, and our degradation

26:38

index only

26:39

ranged from 1.36 to 3.46. Now if we take a closer look, we can see 13 out of 18

26:48

samples

26:49

indicated mixtures. As you can see in this electrophoreogram of the cell phone,

26:54

of the clear appearance of

26:55

mixtures. And mixtures in our samples is not unexpected because just think of

27:01

how many times you

27:03

either shake hands with a co-worker or touch a doorknob, and just how much you

27:08

touch your cell phone in

27:10

general, and all that transfer of DNA that is possible. Even though there were

27:15

mixtures, we did

27:17

see 100% a little recovery from the major contributor or the owner of the item.

27:21

So right now we are

27:23

currently running through a mixture interpretation software for the minor

27:27

contributor.

27:28

Now when we compare the HID Nimbus Presto and manual extraction, we can see

27:35

that the touched

27:36

samples extracted with the HID Nimbus Presto generated extracts with

27:40

significantly higher DNA yields.

27:46

Next we will be discussing challenging samples from decomposed cadavers.

27:50

For this portion of the project, two samples were collected from each cadaver,

27:56

two hair, nails, and teeth, from six cadavers that were placed on the surface

28:02

for up to three months.

28:03

But these challenging samples come with its own unique set of challenges. While

28:09

hair is a commonly

28:10

encountered evidence type, it may be limited in its DNA quantity and quality,

28:16

especially if the

28:17

root is not present. The keratin that is present in both hair and nails is

28:23

known for degrading and

28:25

inhibiting DNA as well. And for teeth while it is more resistant to degradation

28:31

, it is still

28:32

subject to environmental contamination that can negatively impact DNA yield.

28:37

Additionally,

28:38

the calcium and enamel present in teeth can also act as PCR inhibitors.

28:43

To prepare these samples, hair was cut three to five millimeters and if the

28:50

root was present,

28:51

was included. Hair was washed with a turgazim detergent in order to wash away

28:57

any exogenous DNA.

28:58

Then with water and following with ethanol. Hair was extracted using the PrEP

29:04

filer protocol.

29:07

Our nail samples were not simply just nail clippings, but the entire nail bed

29:12

itself,

29:12

from either the thumbs or the big toe. We received both a left and right nail

29:18

for each cadaver.

29:18

And as you can see in the photo, we cut each nail in half and from that half of

29:26

five millimeter cut

29:27

was made so that we could proceed with the HID Nimbus Presto workflow or manual

29:33

extraction.

29:35

Similarly to hair, nails were extracted using the PrEP filer protocol.

29:39

Finally, for our teeth samples, premolars and molars were washed with 10%

29:46

bleach for three seconds,

29:48

then water and ethanol. Teeth were wrapped in a kim wipe and pulverized with a

29:53

mallet before

29:54

being powdered with a freezer mill. Teeth samples were then extracted using the

30:01

PrEP filer BTA protocol

30:03

for both manual and automated extraction.

30:05

Now if we look at our results for the challenging samples, our highest amount

30:12

of DNA was recovered

30:13

from our nails. This can be explained because like I previously mentioned, we

30:19

were using our

30:20

nail beds and not necessarily just nail clippings. Nail beds have adhering soft

30:26

tissue, which can

30:27

explain the higher amounts of DNA available. But in our samples, there is no

30:33

inhibition detected,

30:34

but DNA degradation was observed in our nail and teeth samples.

30:39

And while we know that these are challenging samples, we were still able to

30:45

achieve over 80%

30:47

allele recovery from our hair, nails, and teeth. And here is a picture of an

30:52

electrophiragram of

30:53

one of our nail samples with 100% allele recovery. And we can see that there

30:59

are good peak heights

31:00

and a balanced profile throughout this sample. When we look at the hair samples

31:08

extracted with

31:08

the HID Nimbus Presto versus manual extraction, the HID Nimbus Presto generated

31:14

statistically,

31:15

significantly higher DNA yields in comparison to manual extraction.

31:20

Additionally, more hair samples

31:23

met our one-peak gram per microliter threshold to proceed with STR analysis.

31:28

Similarly, for

31:29

nails, the HID Nimbus Presto also yielded significantly more DNA yields than

31:35

manual extraction. And also

31:37

yielded more samples that met our threshold. For our teeth samples, there was

31:43

no statistically

31:45

significant difference between DNA yields between the HID Nimbus Presto and

31:50

manual extraction.

31:51

All of our manual extracts and 10 out of 12 samples using the HID Nimbus Presto

31:58

met this

31:58

threshold. But in summary, you can see that the HID Nimbus Presto either

32:03

performed similarly

32:04

or significantly better than manual extraction.

32:07

Now, on to Jen, who will discuss the much anticipated bone results.

32:15

Thank you, Kaylee. As she mentioned, the last sample type we'll be discussing

32:18

throughout this

32:19

webinar are our skeletal samples. These samples are very important because they

32:23

are often the only

32:24

remaining pieces of evidence in several situations, including cold cases,

32:28

missing persons, or mass

32:29

disaster victim identification. These samples are unique in that the reason

32:33

they are often the last

32:34

source of evidence is the same reason they can be so challenging to process.

32:38

The inherent nature

32:39

of these samples allows for that DNA to be protected within the TUF hydroxyapat

32:44

ite matrix of

32:44

the bone. But this requires a very complicated sample preparation process to

32:49

actually access

32:50

that DNA. Not only that, but these samples are also often highly inhibited from

32:55

either

32:56

endogenous sources like calcium or collagen or exogenous contaminants like hum

33:00

ic acid found in

33:01

the soil. Additionally, these samples are usually highly degraded and naturally

33:06

contain low levels

33:07

of DNA. Therefore, we wanted to investigate the success of the HID Nimbus Prest

33:12

o system

33:13

for DNA extraction from these challenging sample types. We collected our

33:17

samples from

33:17

Staphs, the Southeast Texas Applied Forensic Science Facility, which is a world

33:22

-bodied donor

33:22

program at San Houston State University. Individuals or family members can

33:27

choose to donate their

33:28

bodies or their loved ones to this facility for research or education purposes.

33:32

I'm lucky enough

33:33

to work out at Staphs and utilize it for my research. We're very thankful for

33:37

our donors,

33:38

and this is what I would like to remind you all to please refrain from taking

33:41

any photos

33:42

of the slides that contain cadaver images. With that being said, this project

33:48

we collected from

33:49

three different insult categories, surface decompose remains, burned remains,

33:53

and buried remains.

33:54

Six cadavers were collected for each insult group and five skeletal elements or

33:59

bones were

33:59

collected from each cadaver. Like I mentioned previously, the sample

34:04

preparation for skeletal

34:05

samples can be very tedious and time-consuming, but it is doable. First, a

34:10

window cut needs to be

34:11

taken from our larger skeletal elements like this femur you see here. This is

34:15

done using a

34:15

Dremel Power tool. Smaller samples skip this window cut step and instead the

34:20

entire sample

34:21

is processed as a whole. Here you see this window cut taken away, and once we

34:26

have that window cut

34:27

or the entire sample that will be processed, we sand down the outside surface

34:31

in order to

34:32

remove any exogenous DNA to limit contamination moving forward. This is again

34:37

done using a Dremel

34:38

Power tool, but with a sanding bit attachment. At this point, we're ready to

34:43

chip our bone into

34:44

smaller pieces to make our powdering process easier. In these chips go through

34:48

a series of wash steps

34:49

to again limit contamination. At this point, we're ready to begin our powdering

34:53

. At SAM, we use a

34:55

freezer mill, and this works by pouring our chips into the vial you see on the

34:59

left. In that vial,

35:01

there's a magnetic rod. So you place this vial in the freezer mill, which is

35:04

located in the center

35:05

image, in this freezer mill spill with liquid nitrogen. When we turn it on,

35:10

that magnetic rod

35:11

is going to move back and forth very, very quickly, pulverizing the chips into

35:15

a fine powder like you

35:16

see here. At this point, we're ready to begin our extraction process. You can

35:21

see there's a lot of

35:22

hands-on time that occurs up front during the sample preparation process, and

35:26

that's why we

35:26

were interested in looking at the HID Nimbus Presto system for DNA extraction

35:31

from these samples to

35:32

limit hands-on time at a later step. The first insult type we'll be discussing

35:38

for this project

35:39

are our surface decomposed remains. At staffs, upon intake, the cadavers are

35:44

placed on the surface

35:45

under cages for extended periods of time. The samples collected for this

35:49

project were on the

35:50

surface from anywhere between half a year to about two years. While in the

35:54

field, these cadavers are

35:55

exposed to a variety of environmental insults, including sun bleaching or UV

36:00

damage from that hot

36:01

Texas sun. Additionally, these samples can interact with the soil leading to

36:05

potential inhibition,

36:06

as well as interactions with different microbial communities or even scavengers

36:10

if they're able to

36:11

make it under the cage. They're also exposed to moisture from rain or humidity,

36:16

and they have

36:16

that extreme Texas heat impacting them. So anything that the natural

36:20

environment goes through, these

36:22

samples go through, which is going to lead to a very challenging sample type.

36:25

For this project,

36:27

we collected three long bones, the humerus, femur, and tibia, in two foot bones

36:33

or tarsals,

36:33

the medial cuneiform, and the first metatarsal. For each cadaver, we collected

36:38

either the left

36:39

or the right side, but not both. Our burn samples are our next type of insult,

36:45

and these were processed

36:46

by individually burning each element separately, as you see in that top image

36:51

here. So the skeletal

36:53

elements were placed on a makeshift grill of wood, charcoal, and chicken wire

36:57

to hold the bone,

36:58

and the bones were burned until they reached a black or brown color. At this

37:01

point, we see that

37:02

there's DNA damage and degradation induced on these samples. For our burn

37:07

samples, we again

37:09

collected our three long bones, the humerus, femur, and tibia, and then two

37:12

other foot bones,

37:14

the cuboid, and then the first metatarsal. The last insult category is our

37:19

buried samples.

37:21

At staffs, cadavers are buried at various depths and for extended periods of

37:25

time

37:25

based on the research study. For this particular study, the cadavers were

37:30

buried for a length of

37:31

between just a few months to almost four years. We often find that these are

37:36

our most challenging

37:37

sample types as they are highly degraded and inhibited, likely due to the acid

37:41

ity of our soil

37:42

from our pine trees, as we are part of the piney woods and fences. Additionally

37:47

, these samples

37:48

often have adiposeure formation, which is commonly seen in buried samples where

37:52

there is a lot of

37:52

moisture. This is when the decomposing soft tissue forms a waxy fatty substance

37:58

that can further

37:58

complicate the DNA extraction process from these sample types. For our buried

38:03

samples,

38:03

we collected the humerus, femur, tibia, mediocre cuneiform, and first metatars

38:08

al.

38:08

So overall, for this project, a total of 30 samples were collected for each

38:13

insult type

38:14

and extracted in duplicate on the HID Nimbus Presto system using the PrEPFiler

38:19

BTA chemistry.

38:20

Here we are looking at the average DNA yield per insult, and you can see that

38:26

the burn samples

38:27

had the largest variation with some having relatively high yields, but on the

38:31

other hand,

38:32

our buried samples had a limited spread with a much lower recovery. From the

38:37

180 extracts,

38:38

133 of these proceeded forward for STR typing, meaning they met that one pic

38:43

ogram per microliter

38:44

input value. 57 of these were surface samples, 44 burned, and 32 buried.

38:51

When we compare our allele recovery versus DNA input, as expected, the more DNA

39:00

we're able to target,

39:01

the higher allele recovery we see. For our surface and burn samples here, we

39:06

see that if we could

39:07

target at least 0.2 nanograms of sample, we have an 80% allele recovery or

39:12

greater.

39:13

The only exception is that burn sample that you see has 0.5 input value, but

39:19

about a

39:20

allele recovery of 63%. And I want you to keep the sample in mind when I move

39:23

to the next slide.

39:24

When we look at our buried samples, we see that this trend isn't very

39:29

consistent,

39:30

and we have a much lower allele recovery regardless of our DNA input.

39:36

And much of this can be explained if we examine the degradation index of these

39:40

samples.

39:40

So the majority of our surface bones you see here have a DI between 1 and 5,

39:45

which means they're

39:46

slightly degraded, and a few samples pass that threshold of 10 DI, meaning that

39:51

they are severely

39:52

degraded. And that same trend is consistent with our burn samples with the

39:56

majority between 1 and 5,

39:58

and we see one sample has a DI around 15. So this is actually that sample I

40:03

mentioned on the previous

40:04

slide that had an input of 0.5 nanograms, but a lower allele recovery, and that

40:09

's due to this

40:10

high degradation index in the dropout of those larger low side. So this

40:14

highlights the some of

40:15

the challenges we see when processing these sample types. We have to look at

40:19

the sample as a whole

40:20

picture. So we have to look at the amount of template DNA if these samples are

40:24

degraded,

40:25

and then furthermore, we have to look at our inhibition of these samples. And

40:28

all of this

40:28

will predict our success in allele recovery. When we look at our burn or our

40:33

buried samples,

40:34

we see that we have much higher degradation indices indicating those lower

40:39

allele recoveries.

40:40

And this is not unexpected at this, as this is a common issue, we face with

40:45

these challenging

40:46

sample types at Staphs. So from here, we're going to compare our HID Nimbus

40:53

Presto extractions

40:54

to our manual extractions using the PrEPbiler BTA chemistry. And in this figure

40:59

here, we're

40:59

looking at our quant data. And we see that overall, there was no significant

41:03

difference in DNA yield

41:04

for our surface or burn samples. But when we compare our buried samples, we

41:10

found that this

41:11

sample process using the HID Nimbus Presto system had a statistically

41:15

significant increase in DNA

41:16

yield. However, regardless of the method used, these values were still very,

41:21

very low.

41:22

for these manual

41:22

When we compare which samples meet that one picogram per monthulator threshold

41:28

for PCR amplification,

41:30

we see that the Nimbus had more surface samples and buried samples proceed

41:34

forward.

41:35

This demonstrates that even if the DNA yield was not significantly better with

41:39

the Nimbus,

41:40

it resulted in a higher chance of success in continuing through the HID

41:44

pipeline.

41:45

Unfortunately, at this time, we are still working to complete our STR typing

41:50

extractions. So we were unable to compare our real recovery data.

41:54

However, we were able to process a subset of these samples using other bone

42:00

extraction methods

42:01

that we commonly use in our lab. This includes the automated express, which

42:05

utilizes the PrEPbiler

42:06

BTA chemistry, and our lab's total demon method, which is an adaptation of the

42:11

Laurier method.

42:12

And when we compare these four methods, we found that we had no statistically

42:17

significant

42:18

difference in DNA yield, regardless of which extraction method was used.

42:21

This means that the HID Nimbus Presto system performed on par with the other

42:27

DNA extraction

42:27

methods we implement in our lab. But outside of DNA recovery, there are some

42:34

other variables

42:35

that should be considered when choosing which DNA extraction method to use for

42:39

our skeletal samples.

42:41

For instance, using the HID Nimbus Presto system allows for 96 samples to be

42:46

processed at once,

42:47

compared to the only 13 that can be processed on the automated express or

42:51

comfortably processed

42:52

manually. Furthermore, utilizing the PrEPbiler BTA chemistry, whether that be

42:57

on the Nimbus Presto,

42:59

the automated express, or manually, only requires 50 milligrams of bone powder

43:04

versus the 250

43:05

milligrams used for our total demon method. And this is saving our precious

43:08

sample type.

43:09

And lastly, utilizing the partial demoneralization chemistry

43:15

of the PrEPbiler BTA kit saves time reducing the extraction process to hours

43:20

rather than days.

43:21

And if the HID Nimbus Presto is used, the hands-on time can be further reduced

43:26

as Dr Hughes is about

43:27

to summarize. Thank you, Jen. So now I'd like to now draw your attention to

43:33

really the workflow

43:34

comparison altogether. So if we start with the PrEPbiler BTA system, whether we

43:39

perform that

43:39

manually or on the Automate Express or the HID Nimbus Presto, if we look at a

43:44

batch of say 12 samples

43:45

to compare, it's a great place to start. So with a set of 12 samples manually,

43:51

there is really no

43:52

difference in the beginning steps. So from sample PrEPb going from bone bone

43:57

chips down to the

43:58

bone powder, it's exactly the same. Going through to the digestion or cell l

44:02

ysis step, it's the same.

44:04

Now moving that onto extraction and purification, performing that manually with

44:10

12 samples is that

44:11

step is a rough just shy of two hours. So when you look at PrEPbiler BTA

44:15

solution, chemistry being

44:16

performed manually, it's a total time of around about 16 hours and just over

44:21

two and a half hours

44:22

of hands-on time. When you compare that to the Automate Express and the HID Nim

44:27

bus Presto work

44:28

solutions with those 12 samples, there's a vast difference. Even though in

44:32

totality is about 14

44:34

hours, it's really the hands-on time down to less than half an hour or so,

44:38

really does allow the

44:39

analyst to free up their time to do other things. And even though the 12

44:43

samples on the Automate

44:44

Express and the HID Nimbus Presto is comparable in terms of time and hands-on

44:49

time, that's with 12

44:50

samples. The real neat thing with the HID Nimbus Presto, of course, being able

44:54

to increase the

44:56

throughput up to those 96 samples, the increase in time on the instrument is

45:00

actually quite negligible.

45:02

Another 10, 15 minutes and you've gone from 12 to 96 samples. So that is the

45:06

real advantage here

45:08

using this combined Kingfish Presto and the HID Nimbus system as a whole. The

45:14

same holds true with

45:15

PrEPbiler chemistry, slightly different. We have our, of course, moving through

45:20

from Cell Lysis is

45:21

the same again, down through the automated platform extraction and purification

45:25

. Those differences,

45:26

you can see, arranged from everything from an hour and a half performing it

45:30

manually, down to

45:31

about half an hour or 40 minutes on the automated systems. And again, exactly

45:36

the same advantages.

45:38

Over two and a half, like two hours or so for the hands-on time, with the PrEPb

45:42

iler kits,

45:42

performing it manually versus your half an hour on the Automate Express and

45:47

your HID Nimbus Presto.

45:48

But of course, remembering that you can increase that throughput very, very

45:52

easily with negligible

45:53

time. So it's a really fantastic solution for all of you DNA extraction and pur

45:57

ification samples

45:58

in the lab. So in summary, the HID Nimbus Presto system really did work really

46:04

well in our laboratory

46:05

with these types of really challenging samples. They performed, as we would

46:08

expect, with such

46:09

difficult samples. They were able to purify DNA from a variety of all of the

46:14

different difficult

46:15

samples that we encounter in our lab all the time. When we compared DNA yield,

46:20

the Nimbus Presto really

46:22

did perform, as we would expect, to see. And very similarly, if not better,

46:27

with manual extraction

46:28

methods that we use in our lab for those different types of samples. And

46:33

overall, the big advantage

46:34

is the HID Nimbus Presto system really does save a lot of analysts' time by

46:39

limiting those hands-on

46:40

requirements and allowing for that 96th sample throughput all in one time very,

46:46

very effectively

46:46

and efficiently. So that is it from us. I'd like to, of course, acknowledge a

46:52

few very important

46:52

people. This work wouldn't have been possible without the immense support from

46:56

the FOMO Fisher

46:57

team that work with us, namely, Yvonne, Angie, Han, Laura, of course, Andrew

47:03

and Patrick on this

47:04

project. Of course, I have to acknowledge Southeast Texas Applied Forensic

47:08

Science Facility or Staphs.

47:10

For providing us with some samples from their donors, I need to thank their

47:14

donors and their

47:15

loved ones, because, of course, without them, this type of research is just not

47:18

possible. And

47:19

work is very, very difficult to do without these types of real samples. And of

47:25

course,

47:25

the Department of Forensic Science and the Institute of Forensic Research

47:29

Training and Innovation for

47:31

their support at San Houston State University. So if you have any questions,

47:36

please feel free

47:37

to reach out to any of my three PhD students here in their respective areas, or

47:43

myself,

47:43

if you have any other generic questions or general questions in this type of

47:47

research

47:47

that we perform here at San Houston State with all of our very, very difficult

47:52

and challenging

47:53

samples. Otherwise, if you have any instrumentation questions, please feel free

47:58

to reach out to Han.

47:59

His email is there or your local representative, I'm sure, but we'll be able to

48:04

help you with anything.

48:05

Thank you so much. I'd like to hand back to Michelle now, and I think she's

48:09

going to

48:10

moderate the Q&A session. Thank you. Thank you, Cherie and panelists for those

48:15

interesting

48:15

and informative presentations. We do have time for Q&A, so if you have a

48:19

question for the panelists,

48:21

please submit it through the Q&A panel on your screen. I also want to draw your

48:25

attention to

48:26

the Resources tab on the right side of the screen. There are a few resources

48:29

there connected

48:30

to today's webinar that you'll probably find really interesting. While I wait

48:34

for everyone to

48:35

submit their questions, I have a couple polling questions for you.

48:38

Our first polling question is, does your lab use automation?

48:45

Answers are A through F, and please check all that apply.

48:50

All right, let's see. Most of you do not use automation, but let little less

48:59

than half

49:00

are. Let's go to the next one. Which areas are your greatest need for

49:09

automation? And again,

49:11

please feel free to check all that apply. A through E. Well, everyone says all

49:17

of the above,

49:18

100% on that. Last question before we get to the Q&A. Would you like to receive

49:26

more information

49:27

about the Nimbus Presto system? All right, thank you audience so much for

49:32

participating in our

49:33

polling questions. Now we get on to the extra fun part, the Q&A. Kaylee, our

49:39

first question is

49:40

for you. Are you ready for us? Yes, ma'am. All right, so are there major

49:47

differences between

49:49

bone and teeth? I would say that the main difference between like bone and

49:55

teeth process,

49:56

mainly like the size of the sample. So with bone, you know, you have a larger

50:03

sample usually, but with

50:05

teeth, we use, as we saw in the presentation, usually a mallet to pulverize the

50:09

bone. So that

50:10

would save a lot of time. You just kind of smash the tooth instead of using

50:14

maybe like a drum roll

50:15

that we do with bones. But you still do the same protocols of washing it and

50:21

powdering it.

50:23

So I would say just that sample prep is the main difference. Gotcha. Okay. Nat

50:30

alia, you're up next.

50:33

All right. How long can the swabs from cartridges be stored and still have

50:42

success

50:42

in isolating DNA? And how do you store those cartridges?

50:48

Okay. So those are all fantastic questions. And there are a bunch of different

50:53

variables we have

50:54

to consider when answering that question. So as many of you know, the longer

51:00

that DNA is exposed

51:02

to the surface of copper, the more detrimental those effects are going to be on

51:07

the DNA. And so

51:09

I would definitely recommend that if your lab does use standard swabbing as the

51:14

collection method

51:15

of choice, that you don't just leave the casing stored, but you do go ahead and

51:20

swab and then

51:21

store the swabs. Now we haven't measured or tested storage time here at FHSU.

51:28

And a lot of that

51:30

really does depend on the collection method. So with standard swabbing, storage

51:35

is definitely an

51:36

option. However, if your lab is going to adopt the BT mix rinse swab protocol,

51:42

you can't really

51:43

store the swabs for that. And the reason is because you are using that rinse

51:48

solution in the same

51:50

tube as your swab. So it all gets collected together. And so if that is your

51:55

method of collection,

51:56

then I would actually recommend that you go straight through extraction and

52:01

then store the

52:01

extract. And that way you're preventing any more damage and degradation from

52:06

those copper ions.

52:09

And you're at a place where you're not storing potential ions in that rinse

52:15

solution as well.

52:16

Hopefully that answered the question. Absolutely. Thank you so much.

52:21

Alright Jennifer, let's get you into the mix. We have a question for you.

52:26

Sounds good. How long does sample preparation for bones take?

52:35

So it's really dependent on the method and sample type being used for each lab.

52:40

So for instance,

52:41

for our lab we're processing that entire window cut because we want to have a

52:45

large pool of powder

52:46

to sample from. But other labs that maybe are just trying to target a enough

52:50

powder to actually,

52:52

you know, work that sample, might choose to only process a few chips at a time.

52:56

So that could

52:58

change the sampling process time. But of course every sample is going to

53:02

require washing because

53:03

we want to make sure we're removing any contaminants. And once we wash we're of

53:07

course going to have

53:08

to dry. We opt to dry overnight just because the timing of it, it gives you a

53:13

little more

53:14

variability. But you can also choose to use an oven which will speed things up.

53:19

But of course

53:19

there still is that wait time for that. So pretty much from beginning to end

53:24

for each sample you're

53:25

going to take roughly a day or a day and a night. So it is a time consuming

53:30

process.

53:31

And it's one that is very tedious. But if you do it right it helps things out

53:36

quite a bit.

53:36

That's it. Okay, thank you Jennifer. Dr. Hughes, this is a question for you or

53:45

pretty much anyone

53:45

else. But maybe we'll start with you since you haven't heard from you in a bit.

53:48

How difficult or time consuming was it to set up the instrument, add reagents,

53:57

tips and plays,

53:58

and what about running the software, etc. That whole kind of process.

54:01

Yeah, well setting it up obviously and everyone getting familiar with the way

54:06

it all works in

54:08

the scripts running smoothly. Obviously is what took the longest time but we

54:12

had immense support

54:13

from the thermophisher team to be able to make sure we had everything up and

54:17

running. But of course

54:18

the GUI system, the GUI makes it so easy to put everything on correctly and

54:22

step it through.

54:23

So it does it did take us quite a while to get up and running and everyone

54:27

familiar with the

54:28

process. But the actual time of putting the plastics on and getting everything

54:32

run that was

54:34

really dependent on of the samples number that you were batching the batch

54:38

number you were going

54:39

through and also the type of format in the plastics you wear. But as I said, I

54:44

mean whether you're

54:45

only starting off with your minimum sort of eight samples or your entire plate,

54:50

you know,

54:50

was a lot more of after the 96 samples. There was such minimal increase in time

54:57

of running the

54:57

instrument. So the setup at the front-hand is a little bit longer and a little

55:02

bit more

55:02

longer to put in there. However, once we had the platform up and running

55:08

smoothly in the script

55:09

saw running and everything working well, it was actually extremely streamlined.

55:13

But any of my

55:15

students can pipe in on the actual logistics more if they have anything to say.

55:21

Yes, so the actual--

55:22

Oh, go ahead.

55:24

No, no, go ahead.

55:26

The actual processing and setting everything up on the instrument, once you

55:30

know what you're

55:31

doing is very, very quick. You can actually leave things on the deck to kind of

55:36

make things a

55:36

little bit quicker for the next setup. If you know multiple people are going to

55:40

be doing runs that day

55:41

and then you can load in ample tips ahead of time. So you don't have to keep

55:45

reloading tips. It has

55:46

locations for three full plates of the big tips and then the smaller tips as

55:53

well. So there really

55:54

is that ability to kind of keep things set up and moving forward, speeding up

55:58

the process.

55:59

Perfect. Thank you. Jennifer, we have another bone question for you.

56:11

What was the amount of bone that you used in the method for the Nimbus Presto?

56:16

So the Nimbus Presto is using that Preppiler BTA chemistry for bone and so it

56:22

follows the same

56:23

input value of 50 milligrams for each sample type.

56:26

Bacha, okay. Another question here. Someone's asked saying we process fingern

56:36

ail clippings in

56:37

our lab by swabbing each clipping for any DNA. Have any of you ever tried

56:42

processing entire

56:43

fingernail clipping much like the nail bed and received successful results?

56:47

So I'll include this one. I have not done either swabbing other fingernails

56:57

clicking or

56:58

the entire fingernail clipping personally. We just follow, I follow the Prepp

57:05

iler protocol for

57:06

nail clipping and so I know we do collect clippings for our staff database. So

57:12

we have them on file.

57:14

I think we were able to receive some pretty successful results but considering

57:18

we were using

57:18

the nail bed, they were highly more successful than just simply the nail

57:23

clipping. I don't know if

57:25

anyone else would agree or disagree with that. Yeah, we have actually used fing

57:33

ernail clippings

57:35

in the past but not on the numbers presser. We have with the BTA chemistry on

57:42

the Automate

57:43

Express and manually and success was hitting this and of course a lot of n

57:47

ixtures but with that

57:49

was directly soaking the fingernail clippings, not swabbing.

57:52

Perfect, thank you. Another bone question, Jennifer.

58:01

How many days you keep buried bones in EDTA solutions for demineralization? Is

58:08

there any special

58:09

preening protocol for buried bones before demineralization? So for this project

58:15

since we were using

58:17

the Preppiler BTA chemistry, it's a partial demon process so there really is no

58:21

pre-soaking

58:22

of the buried bones using this method. However, other methods reviews have kind

58:27

of been

58:28

different total demon methods so an adaptation of the lorry method where we

58:33

stoked our sample and our lysis buffer which is EDTA and then pro-K pretty much

58:40

And we've only done that for 24-hour periods, so an overnight period. Same

58:45

thing with an adaptation

58:47

of the Daphne method, again just 24 hours. I know there are other methods that

58:52

do a little bit

58:52

longer but personally I have not played around with this at all. Okay thank you

59:00

Jennifer.

59:01

I'm going to tell you we have another question for you. Okay.

59:07

The size, copper, and brass, is there a great success with other types of cas

59:13

ings such as

59:14

nickel, steel, aluminum, anything else?

59:19

So here at Sam Houston we haven't examined other types of ammunition. However

59:25

what we've seen

59:26

in the literature is that there is greater success with non-brass and non-co

59:32

pper ammunition

59:33

and this really has to do with that metal ion composition. So without copper's

59:39

deleterious effects

59:42

labs have been generating more STRs in their profiles after swabbing from

59:48

aluminum or steel

59:50

casings. That's definitely something that we can explore further and do some

59:54

comparative research.

59:56

However for this project we really wanted to stick to the most challenging type

01:00:00

of ammunition.

01:00:00

Of course why not make it the most challenging. Okay thank you so much for that

01:00:09

Here's a process question. What's the BSA concentration used in the quant

01:00:14

ification step?

01:00:16

So for that we did use BSA at 4.5 milligrams per milliliter and that's not the

01:00:28

final

01:00:28

concentration that is the input concentration. We used one microliter of that

01:00:34

in that standard

01:00:35

trio reaction. Bye thank you. We'll tell you another question for you.

01:00:44

I'm on a roll. Let's go. You are. Since the DT mix rinse/swab protocol

01:00:53

recovered the most DNA,

01:00:55

would it be possible to remove some of the hands-on time by just using the

01:01:00

solution as a swab

01:01:01

moistening agent? Okay so yes so the BT mix rinse/swab protocol is extremely

01:01:09

hands-on.

01:01:10

Does take a little bit more time than the standard swabbing and so that's a

01:01:14

great question.

01:01:15

We actually did test this out here. We

01:01:23

looked at it and we quantified how much we eliminate, how much DNA we recovered

01:01:34

from those swabs

01:01:34

after just doing that and we found that no we couldn't really eliminate that

01:01:41

hands-on time.

01:01:42

And I think actually the original article that the research was published in

01:01:46

also examined the same

01:01:47

thing. They used four different collection methods and one of those happened to

01:01:55

be just using that

01:01:56

BT mix solution as a moistening agent and although it did perform better than

01:02:01

moistening with water

01:02:03

and double swabbing that way it did not outperform that rinse/swab protocol.

01:02:10

And so when we're talking

01:02:11

about really low template samples like DNA from these casings I would recommend

01:02:17

just sticking

01:02:18

to that standard BT mix rinse/swab protocol in full to get the most DNA out of

01:02:24

your sample.

01:02:25

Perfect thank you so much. We had time for one more question Jennifer this one

01:02:32

's yours.

01:02:33

I know we were talking about the berry bones earlier. How deep were the could

01:02:38

divers bones buried?

01:02:41

So we actually did not have record of this at that time but based off of

01:02:46

photographs of the

01:02:48

recovery and at the burial it's roughly between a foot and a half to three feet

01:02:52

and this kind of

01:02:53

goes to show that we're still seeing these challenges with buried bones even at

01:02:57

these more shallow depths

01:02:58

which I thought was kind of interesting. Absolutely that is. All right well

01:03:05

audience that about

01:03:06

wraps up the time we have for Q&A today but I'd like to take our fantastic

01:03:10

presenters as well as

01:03:12

thermophusher scientific for sponsoring today's webinar. In 24 hours or less

01:03:16

this webinar will be

01:03:17

available on demand if you'd like to watch it again or share it with your

01:03:20

friends and colleagues.

01:03:21

Additionally you will receive an email with a URL to obtain CE credit

01:03:26

documentation for your

01:03:28

participation today. We look forward to seeing you at the next webinar. Thanks

01:03:32

so much.