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.