This work was funded by a National Institutes of Health R01 (DC009453 support to CWB).

NOTE: Prior to providing saliva samples all subjects gave informed consent conforming to the guidelines for treatment of human subjects at Nationwide Children&#8217;s Hospital.
1. Saliva Collection and Storage
<ol>
	<li>Prior to saliva collection, ensure that the subject&#8217;s mouth is free of food or other foreign substances by having the subject rinse their mouth with water and avoiding eating or drinking for 30 min before collecting the sample.</li>
	<li>Open a 15 ml centrifuge tube with 2.5 ml of DNA stabilization buffer2 making sure to avoid touching the inside of the cap or tube, and have the subject spit 2.5 ml of saliva into the buffer solution. Note: Collecting more than 2.5 ml of saliva can lead to sample degradation from an insufficient ratio of sample to DNA stabilization buffer. Collecting too little saliva will reduce expected yields from the protocol. To evaluate collection volumes, use the numbered gradients on the side of the tube.</li>
	<li>Replace cap and mix by inversion until the mixture is homogenized. Vigorous shaking is not necessary. Store the samples at RT for short-term storage or 4 &#176;C for long-term storage (&#62;3 months).</li>
</ol>
2. Initial Preparations and Cell Lysis
<ol>
	<li>Prior to starting the extraction, heat a water bath to 37 &#176;C, and prepare an ice bucket. Three 15 ml conical centrifuge tubes will be needed for each extracted sample. The three tubes will be used to hold the cell and protein pellet, the final extracted gDNA, and the isopropanol and ethanol supernatants.</li>
	<li>Retrieve samples from storage, and invert samples several times then vortex at medium speed for 15 sec.</li>
	<li>Dispense 2.5 ml of sample into a clean 15 ml centrifuge tube, and add 5 ml of Cell Lysis Solution. Mix the sample 50 times by inversion, and incubate at RT for 30 min.</li>
</ol>
3. RNA Removal
<ol>
	<li>Add 40 &#956;l of RNase A Solution at 100 mg/ml, and incubate at 37 &#176;C for 15 min.</li>
	<li>Remove the sample from the 37 &#176;C water bath and cool on ice for 3 min.
	<ol>
		<li>After the RNase A incubation, increase the temperature of the water bath to 65 &#176;C for the DNA rehydration step of the protocol.</li>
	</ol>
	</li>
</ol>
4. Protein and Lipid Removal
<ol>
	<li>Add 50 &#956;l of Proteinase K Solution at 20 mg/ml, mix several times by inversion, and incubate at RT for a minimum of 30 min. Note: This is a possible pausing point for the protocol. After the addition of the Proteinase K Solution, the sample can be stored at 4 &#176;C until the extraction can be completed. Storage at 4 &#176;C for up to 24 hr was not shown to have a significant effect on the extraction yields or DNA quality. Long-term storage at this stage has not been evaluated.</li>
	<li>Add 1.7 ml of Protein Precipitation Solution, vortex vigorously for 20 sec at high speed, and place on ice for 10 min.</li>
	<li>Once the samples have cooled on ice for 10 min, centrifuge for 10 min at 3,000 x g and 4 &#176;C. The precipitated proteins must form a tight pellet to continue. If the pellet is not tight or the solution is still cloudy, the samples can be cooled on ice for 5 min more and centrifugation repeated. The samples must be kept on ice to ensure a tight pellet.</li>
</ol>
5. Isolation and Purification of gDNA
<ol>
	<li>Into a clean 15 ml centrifuge tube, pipet 5 ml of Isopropanol and 8 &#956;l of pure Glycogen Solution at 20 mg/ml.</li>
	<li>Pour the supernatant containing the gDNA from step 4.3 into the tube containing the Isopropanol and Glycogen Solution, leaving behind the precipitated protein pellet. Once the supernatant has been added, gently mix the sample 50 times by inversion and centrifuge for 30 min at 3,000 x g and 4 &#176;C.</li>
	<li>Pour the supernatant slowly into a clean 15 ml tube. After removal of the supernatant, add 1 ml of 70% ethanol to wash the pellet by slowly rocking and gently moving the ethanol over the precipitated pellet several times. Retain the ethanol in the tube.</li>
	<li>After the initial wash, centrifuge the sample for 1 min at 2,000 x g and 20 &#176;C. This centrifugation step can be done at either 4 &#176;C or 20 &#176;C. No significant effect of temperature has been shown for this step.</li>
	<li>Following the initial wash and centrifugation of the pellet, slowly pour the ethanol wash from the tube and discard, then perform a second wash by repeating steps 5.3 and 5.4.</li>
	<li>After the removal of the supernatant from the second wash, allow the pellet to air dry for 15 min.
	<ol>
		<li>If the sample has not completely dried, air dry for another 15 min.</li>
	</ol>
	</li>
</ol>
6. Rehydration of gDNA
<ol>
	<li>Once the sample has dried, add 300 &#956;l of Tris-EDTA to rehydrate the dried gDNA pellet.</li>
	<li>Vortex the sample for 5 sec&#160;at medium speed and place in a 65 &#176;C hot water bath for 1 hr.</li>
	<li>Remove the samples from the water bath and incubate O/N at RT. 
	NOTE: All products and reagents used are listed in the Materials Table, as well as Table 4.</li>
</ol>

<ol>
	<li>Quinque, D., Kittler, R., Kayser, M., Stoneking, M., Nasidze, I. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Evaluation+of+saliva+as+a+source+of+human+DNA+for+population+and+association+studies.">Evaluation of saliva as a source of human DNA for population and association studies.</a> Analytical Biochemistry. 353, 272-277 (2006).</li><li>Min, J. L., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=High+mircosatellite+and+SNP+genotyping+success+rates+established+in+a+large+number+of+genomic+DNA+samples+extracted+from+mouth+swabs+and+genotypes.">High mircosatellite and SNP genotyping success rates established in a large number of genomic DNA samples extracted from mouth swabs and genotypes.</a> Twin Research and Human Genetics. 9, 501-506 (2006).</li><li>Dlugos, D. J., Scattergood, T. M., Ferraro, T. N., Berrettinni, W. H., Buono, R. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Recruitment+rates+and+fear+of+phlebotomy+in+pediatric+patients+in+a+genetic+study+of+epilepsy.">Recruitment rates and fear of phlebotomy in pediatric patients in a genetic study of epilepsy.</a> Epilepsy &amp; Behavior. 6, 444-446 (2005).</li><li>Etter, J. F., Neidhart, E., Bertand, S., Malafosse, A., Bertrand, D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Collecting+saliva+by+mail+for+genetic+and+cotinine+analyses+in+participants+recruited+through+the+internet.">Collecting saliva by mail for genetic and cotinine analyses in participants recruited through the internet.</a> European Journal of Epidemiology. 20, 833-838 (2005).</li><li>Hansen, T. V., Simonsen, M. K., Nielsen, F. C., Hundrup, Y. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Collection+of+blood,+saliva,+and+buccal+cell+samples+in+a+pilot+study+on+the+danish+nurse+cohort:+Comparison+of+the+response+rate+and+quality+of+genomic+DNA.">Collection of blood, saliva, and buccal cell samples in a pilot study on the danish nurse cohort: Comparison of the response rate and quality of genomic DNA.</a> Cancer Epidemiol Biomarkers Prev. 16, 2072-2076 (2007).</li><li>Van Schie, R. C. A. A., Wilson, M. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Saliva:+A+convenient+source+of+DNA+for+analysis+of+bi-allelic+polymorphisms+of+fc&#947;+receptor+iia+(cd32)+and+fc&#947;+receptor+iiib+(cd16).">Saliva: A convenient source of DNA for analysis of bi-allelic polymorphisms of fc&#947; receptor iia (cd32) and fc&#947; receptor iiib (cd16).</a> Journal of Immunological Methods. 208, 91-101 (1997).</li><li>Dawes, C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Estimates,+from+salivary+analyses,+of+the+turnover+time+of+oral+mucosal+epithelium+in+humans+and+the+number+of+bacteria+in+an+edentulous+mouth.">Estimates, from salivary analyses, of the turnover time of oral mucosal epithelium in humans and the number of bacteria in an edentulous mouth.</a> Archives of Oral Biology. 48, 329-336 (2003).</li><li>Bahlo, M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Saliva-derived+DNA+performs+well+in+large-scale,+high-density+single-nucleotide+polymorphism+microarray+studies.">Saliva-derived DNA performs well in large-scale, high-density single-nucleotide polymorphism microarray studies.</a> Cancer Epidemiol Biomarkers Prev. 19, 794-798 (2010).</li><li>Hu, Y., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Genotyping+performance+between+saliva+and+blood-derived+genomic+dnas+on+the+dmet+array:+A+comparison.">Genotyping performance between saliva and blood-derived genomic dnas on the dmet array: A comparison.</a> PLoS ONE. 7 (3), e33968 (2012).</li><li>Simmons, T. R., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Increasing+genotype-phenotype+model+determinism:+Application+to+bivariate+reading/language+traits+and+epistatic+interactions+in+language-impaired+families.">Increasing genotype-phenotype model determinism: Application to bivariate reading/language traits and epistatic interactions in language-impaired families.</a> Human Heredity. 70, 232-244 (2010).</li><li>Zeugin, J. A., Hartley, J. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Ethanol+precipitation+of+DNA.">Ethanol precipitation of DNA.</a> Focus. 7, 1-2 (1985).</li><li>Li, H., Durbin, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Fast+and+accurate+short+read+alignment+with+Burrows-Wheeler+Transform.">Fast and accurate short read alignment with Burrows-Wheeler Transform.</a> Bioinformatics. 25, 1754-1760 (2009).</li><li>McKenna, A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+Genome+Analysis+Toolkit:+a+MapReduce+framework+for+analyzing+next-generation+DNA+sequencing+data.">The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.</a> Genome Res. 20, 1297-1303 (2010).</li><li>DePristo, M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+framework+for+variation+discovery+and+genotyping+using+next-generation+DNA+sequencing+data.">A framework for variation discovery and genotyping using next-generation DNA sequencing data.</a> Nature Genetics. 43, 491-498 (2011).</li></ol>

The authors have nothing to disclose.

The present procedure is an optimized DNA extraction protocol that has considerably improved yield of high molecular weight DNA compared to standard methods, without compromising DNA quality. The critical step with the biggest effect on yield the most was step 5.2, which includes a longer centrifugation step during ethanol precipitation than any published protocol reviewed here, except one that was not widely distributed11. No changes in DNA quality associated with this longer centrifugation were detected, ind...

Obtaining high quality DNA for human genetic studies is essential in the disease gene discovery process. Blood, though requiring an invasive procedure and also being more expensive than saliva collection, is favored for creating immortalized cell lines as an infinite source of DNA, or iPSCs for functional studies, and sometimes blood DNA is used when cell lines are not available. However, obtaining blood requires a trained phlebotomist and blood has a shorter half-life than saliva1. DNA from saliva is less expensive and easier to obtain, since it can be collected and sent through the mail without the need for a phlebotomist, thereby increasing potential subject pools well beyond the catchment area of hospitals and laboratories2. Study enrollment may be improved when subjects have the option of giving a saliva sample instead of blood3, 4. Concerns about the quantity and quality of DNA from saliva may have limited its widespread use despite numerous studies recent studies showing the suitability of whole saliva, with an average of 4.3 x 105 cells per milliliter, for DNA testing over the older buccal swabs methods that did not obtain significant amounts of saliva2, 3, 4, 5, 6. While a modest literature exists showing the suitability of whole saliva derived DNA for genotyping applications including microarray-based methods8, 9, 10, no studies have examined next generation sequencing (NGS). The goal for optimizing this whole saliva DNA extraction protocol was to maximize quantity and quality for genetics applications in a cost effective way that is easily implemented in laboratories with common reagents and consumables.
DNA extraction from saliva requires several procedures: 1) collection and storage, 2) cell lysis, 3) RNase treatment, 4) protein precipitation, 5) ethanol precipitation, 6) DNA rehydration. The DNA Stabilization Buffer solution, described previously2, functions adequately without alteration. No attempt to optimize the RNase treatment and DNA rehydration steps was made. For each remaining step, several variables that could affect yield were identified. Each variable was manipulated individually and improvement in yield and quality was assessed statistically. For variables that were shown to improve yield and/or DNA quality, the optimal values were included in the final protocol.

<table border="0" cellpadding="0" cellspacing="0" width="260">
	<tbody>
		<tr height="49">
			<td height="49" style="height:49px;width:88px;">15ml Centrifuge Tubes</td>
			<td style="width:88px;">Fisher</td>
			<td style="width:84px;">12-565-268</td>
		</tr>
		<tr height="33">
			<td height="33" style="height:33px;width:88px;">Cell Lysis Solution</td>
			<td style="width:88px;">Qiagen</td>
			<td style="width:84px;">158908</td>
		</tr>
		<tr height="22">
			<td height="22" style="height:22px;width:88px;">Proteinase K</td>
			<td style="width:88px;">Sigma</td>
			<td style="width:84px;">P6556</td>
		</tr>
		<tr height="49">
			<td height="49" style="height:49px;width:88px;">Protein Precipitation Solution</td>
			<td style="width:88px;">Qiagen</td>
			<td style="width:84px;">158912</td>
		</tr>
		<tr height="22">
			<td height="22" style="height:22px;width:88px;">Isopropanol</td>
			<td style="width:88px;">Fisher</td>
			<td style="width:84px;">A416-4</td>
		</tr>
		<tr height="33">
			<td height="33" style="height:33px;width:88px;">Glycogen</td>
			<td style="width:88px;">EZ-BioResearch</td>
			<td style="width:84px;">S1003</td>
		</tr>
		<tr height="22">
			<td height="22" style="height:22px;width:88px;">70% Ethanol</td>
			<td style="width:88px;">Fisher</td>
			<td style="width:84px;">04-355-305</td>
		</tr>
		<tr height="33">
			<td height="33" style="height:33px;width:88px;">Tris-EDTA (TE)</td>
			<td style="width:88px;">Fisher</td>
			<td style="width:84px;">BP2473-1</td>
		</tr>
		<tr height="33">
			<td height="33" style="height:33px;width:88px;">NaCl</td>
			<td style="width:88px;">Fisher</td>
			<td style="width:84px;">AC194090010</td>
		</tr>
		<tr height="22">
			<td height="22" style="height:22px;width:88px;">Tris HCl</td>
			<td style="width:88px;">Fisher</td>
			<td style="width:84px;">BP1757-100</td>
		</tr>
		<tr height="33">
			<td height="33" style="height:33px;width:88px;">EDTA(0.5M) Solution</td>
			<td style="width:88px;">Fisher</td>
			<td style="width:84px;">03-500-506</td>
		</tr>
		<tr height="49">
			<td height="49" style="height:49px;width:88px;">Sodium Dodecyl Sulfate</td>
			<td style="width:88px;">Fisher</td>
			<td style="width:84px;">BP166-100&#160;</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;"></td>
			<td></td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;"></td>
			<td></td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;"></td>
			<td></td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;"></td>
			<td></td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Equipment</td>
			<td></td>
			<td></td>
		</tr>
		<tr height="22">
			<td height="22" style="height:22px;"></td>
			<td></td>
			<td></td>
		</tr>
		<tr height="43">
			<td height="43" style="height:43px;width:88px;">Name of Equipment</td>
			<td style="width:88px;">Distributor</td>
			<td style="width:84px;">Catalog#</td>
		</tr>
		<tr height="64">
			<td height="64" style="height:64px;width:88px;">Analog Vortex Mixer</td>
			<td style="width:88px;">Fisher</td>
			<td style="width:84px;">02-215-365</td>
		</tr>
		<tr height="43">
			<td height="43" style="height:43px;width:88px;">Centrifuge 5810R</td>
			<td style="width:88px;">Eppendorf</td>
			<td style="width:84px;">5811 000.010</td>
		</tr>
	</tbody>
</table>

collection and extraction of saliva dna for next generation sequencing

The preferred source of DNA in human genetics research is blood, or cell lines derived from blood, as these sources yield large quantities of high quality DNA. However, DNA extraction from saliva can yield high quality DNA with little to no degradation/fragmentation that is suitable for a variety of DNA assays without the expense of a phlebotomist and can even be acquired through the mail. However, at present, no saliva DNA collection/extraction protocols for next generation sequencing have been presented in the literature. This protocol optimizes parameters of saliva collection/storage and DNA extraction to be of sufficient quality and quantity for DNA assays with the highest standards, including microarray genotyping and next generation sequencing.

To determine optimal parameters for DNA extraction a series of paired DNA extractions was performed. A single saliva sample was split and each portion tested with one of two possible values for a given variable. At least eight replicates of each paired test were performed (e.g., a single saliva sample was aliquoted to test extraction both with and without initial 50 &#176;C incubation). Optimization was based on four standard metrics: total DNA yield, the 260/280 value, the 260/230 value, and visual inspection o...

Watch this Scientific Journal Video about Collection and Extraction of Saliva DNA for Next Generation Sequencing at JoVE.com

Collection and Extraction of Saliva DNA for Next Generation Sequencing

DNA extraction from saliva can provide a readily available source of high molecular weight DNA, with little to no degradation/fragmentation. This protocol provides optimized parameters for saliva collection/storage and DNA extraction to be of sufficient quality and quantity for downstream DNA assays with high quality requirements.

The preferred source of DNA in human genetics research is blood, or cell lines derived from blood, as these sources yield large quantities of high quality ...

collection-and-extraction-of-saliva-dna-for-next-generation-sequencing

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Medicine

38.9K 조회수.  The Research Institute at Nationwide Children's Hospital. DNA extraction from saliva can provide a readily available source of high molecular weight DNA, with little to no degradation/fragmentation. This protocol provides optimized parameters for saliva collection/storage and DNA extraction to be of sufficient quality and quantity for downstream DNA assays with high quality requirements.

비디오: Collection and Extraction of Saliva DNA for Next Generation Sequencing

Generation of Alginate Microspheres for Biomedical Applications

Alginate-based materials have received considerable attention for biomedical applications because of their hydrophilic nature, biocompatibility, and physical architecture. Applications include cell encapsulation, drug delivery, stem cell culture, and tissue engineering scaffolds. In fact, clinical trials are currently being performed in which islets are encapsulated in PLO coated alginate microbeads as a treatment of type I diabetes. However, large numbers of islets are required for efficacy due to poor survival following transplantation. The ability to locally stimulate microvascular network formation around the encapsulated cells may increase their viability through improved transport of oxygen, glucose and other vital nutrients. Fibroblast growth factor-1 (FGF-1) is a naturally occurring growth factor that is able to stimulate blood vessel formation and improve oxygen levels in ischemic tissues. The efficacy of FGF-1 is enhanced when it is delivered in a sustained fashion rather than a single large-bolus administration. The local long-term release of growth factors from islet encapsulation systems could stimulate the growth of blood vessels directly towards the transplanted cells, potentially improving functional graft outcomes. In this article, we outline procedures for the preparation of alginate microspheres for use in biomedical applications. In addition, we describe a method we developed for generating multilayered alginate microbeads. Cells can be encapsulated in the inner alginate core, and angiogenic proteins in the outer alginate layer. The release of proteins from this outer layer would stimulate the formation of local microvascular networks directly towards the transplanted islets.

In the following sections, we outline procedures for the preparation of alginate microspheres for use in biomedical applications. We specifically illustrate a technique for creating multilayered alginate microspheres for the dual purpose of cell and protein encapsulation as a potential treatment for type 1 diabetes.

Alginate-based materials have received considerable attention for biomedical applications because of their hydrophilic nature, biocompatibility, and ...

The &alpha;-test: Rapid Cell-free CD4 Enumeration Using Whole Saliva

There is an urgent need for affordable CD4 enumeration to monitor HIV disease. CD4 enumeration is out of reach in resource-limited regions due to the time and temperature restrictions, technical sophistication, and cost of reagents, in particular monoclonal antibodies to measure CD4 on blood cells, the only currently acceptable method. A commonly used cost-saving and time-saving laboratory strategy is to calculate, rather than measure certain blood values. For example, LDL levels are calculated using the measured levels of total cholesterol, HDL, and triglycerides1. Thus, identification of cell-free correlates that directly regulate the number of CD4+ T cells could provide an accurate method for calculating CD4 counts due to the physiological relevance of the correlates.
The number of stem cells that enter blood and are destined to become circulating CD4+ T cells is determined by the chemokine CXCL12 and its receptor CXCR4 due to their influence on locomotion2. The process of stem cell locomotion into blood is additionally regulated by cell surface human leukocyte elastase (HLECS) and the HLECS-reactive active &alpha;1proteinase inhibitor (&alpha;1PI, &alpha;1antitrypsin, SerpinA1)3. In HIV-1 disease, &alpha;1PI is inactivated due to disease processes 4. In the early asymptomatic categories of HIV-1 disease, active &alpha;1PI was found to be below normal in 100% of untreated HIV-1 patients (median=12 &mu;M, and to achieve normal levels during the symptomatic categories4, 5. This pattern has been attributed to immune inactivation, not to insufficient synthesis, proteolytic inactivation, or oxygenation. We observed that in HIV-1 subjects with &gt;220 CD4 cells/&mu;l, CD4 counts were correlated with serum levels of active &alpha;1PI (r2=0.93, p&lt;0.0001, n=26) and inactive &alpha;1PI (r2=0.91, p&lt;0.0001, n=26) 5. Administration of &alpha;1PI to HIV-1 infected and uninfected subjects resulted in dramatic increases in CD4 counts suggesting &alpha;1PI participates in regulating the number of CD4+ T cells in blood 3.
With stimulation, whole saliva contains sufficient serous exudate (plasma containing proteinaceous material that passes through blood vessel walls into saliva) to allow measurement of active &alpha;1PI and the correlation of this measurement is evidence that it is an accurate method for calculating CD4 counts. Briefly, sialogogues such as chewing gum or citric acid stimulate the exudation of serum into whole mouth saliva. After stimulating serum exudation, the activity of serum &alpha;1PI in saliva is measured by its capacity to inhibit elastase activity. Porcine pancreatic elastase (PPE) is a readily available inexpensive source of elastase. PPE binds to &alpha;1PI forming a one-to-one complex that prevents PPE from cleaving its specific substrates, one of which is the colorimetric peptide, succinyl-L-Ala-L-Ala-L-Ala-p-nitroanilide (SA3NA). Incubating saliva with a saturating concentration of PPE for 10 min at room temperature allows the binding of PPE to all the active &alpha;1PI in saliva. The resulting inhibition of PPE by active &alpha;1PI can be measured by adding the PPE substrate SA3NA. (Figure 1). Although CD4 counts are measured in terms of blood volume (CD4 cells/&mu;l), the concentration of &alpha;1PI in saliva is related to the concentration of serum in saliva, not to volume of saliva since volume can vary considerably during the day and person to person6. However, virtually all the protein in saliva is due to serum content, and the protein content of saliva is measurable7. Thus, active &alpha;1PI in saliva is calculated as a ratio to saliva protein content and is termed the &alpha;1PI Index. Results presented herein demonstrate that the &alpha;1PI Index provides an accurate and precise physiologic method for calculating CD4 counts.

The &amp;#945;-test: Rapid Cell-free CD4 Enumeration Using Whole Saliva

A CD4 enumeration method, the &#x03B1;-test, is described which uses whole saliva to provide rapid and accurate CD4 counts. The &alpha;-test costs pennies and eliminates the need for technical training, costly reagents such as monoclonal antibodies, instrumentation, refrigeration, transport of samples, as well as collection and handling of blood.

There is an urgent need for affordable CD4 enumeration to monitor HIV disease. CD4 enumeration is out of reach in resource-limited regions due to the time ...

Collection Protocol for Human Pancreas

This dissection and sampling procedure was developed for the Network for Pancreatic Organ Donors with Diabetes (nPOD) program to standardize preparation of pancreas recovered from cadaveric organ donors. The pancreas is divided into 3 main regions (head, body, tail) followed by serial transverse sections throughout the medial to lateral axis. Alternating sections are used for fixed paraffin and fresh frozen blocks and remnant samples are minced for snap frozen sample preparations, either with or without RNAse inhibitors, for DNA, RNA, or protein isolation. The overall goal of the pancreas dissection procedure is to sample the entire pancreas while maintaining anatomical orientation.
Endocrine cell heterogeneity in terms of islet composition, size, and numbers is reported for human islets compared to rodent islets 1. The majority of human islets from the pancreas head, body and tail regions are composed of insulin-containing &beta;-cells followed by lower proportions of glucagon-containing &alpha;-cells and somatostatin-containing &delta;-cells. Pancreatic polypeptide-containing PP cells and ghrelin-containing epsilon cells are also present but in small numbers. In contrast, the uncinate region contains islets that are primarily composed of pancreatic polypeptide-containing PP cells 2. These regional islet variations arise from developmental differences. The pancreas develops from the ventral and dorsal pancreatic buds in the foregut and after rotation of the stomach and duodenum, the ventral lobe moves and fuses with the dorsal 3. The ventral lobe forms the posterior portion of the head including the uncinate process while the dorsal lobe gives rise to the rest of the organ. Regional pancreatic variation is also reported with the tail region having higher islet density compared to other regions and the dorsal lobe-derived components undergoing selective atrophy in type 1 diabetes4,5.
Additional organs and tissues are often recovered from the organ donors and include pancreatic lymph nodes, spleen and non-pancreatic lymph nodes. These samples are recovered with similar formats as for the pancreas with the addition of isolation of cryopreserved cells. When the proximal duodenum is included with the pancreas, duodenal mucosa may be collected for paraffin and frozen blocks and minced snap frozen preparations.

This video demonstrates a dissection procedure for processing human pancreas into multiple storage formats. Anatomical orientation is maintained throughout the pancreatic regions to allow definition of regional islet composition and density.

This dissection and sampling procedure was developed for the Network for Pancreatic Organ Donors with Diabetes (nPOD) program to standardize preparation ...

Sampling Human Indigenous Saliva Peptidome Using a Lollipop-Like Ultrafiltration Probe: Simplify and Enhance Peptide Detection for Clinical Mass Spectrometry

Although human saliva proteome and peptidome have been revealed 1-2 they were majorly identified from tryptic digests of saliva proteins. Identification of indigenous peptidome of human saliva without prior digestion with exogenous enzymes becomes imperative, since native peptides in human saliva provide potential values for diagnosing disease, predicting disease progression, and monitoring therapeutic efficacy. Appropriate sampling is a critical step for enhancement of identification of human indigenous saliva peptidome. Traditional methods of sampling human saliva involving centrifugation to remove debris 3-4 may be too time-consuming to be applicable for clinical use. Furthermore, debris removal by centrifugation may be unable to clean most of the infected pathogens and remove the high abundance proteins that often hinder the identification of low abundance peptidome.
Conventional proteomic approaches that primarily utilize two-dimensional gel electrophoresis (2-DE) gels in conjugation with in-gel digestion are capable of identifying many saliva proteins 5-6. However, this approach is generally not sufficiently sensitive to detect low abundance peptides/proteins. Liquid chromatography-Mass spectrometry (LC-MS) based proteomics is an alternative that can identify proteins without prior 2-DE separation. Although this approach provides higher sensitivity, it generally needs prior sample pre-fractionation 7 and pre-digestion with trypsin, which makes it difficult for clinical use. 
To circumvent the hindrance in mass spectrometry due to sample preparation, we have developed a technique called capillary ultrafiltration (CUF) probes 8-11. Data from our laboratory demonstrated that the CUF probes are capable of capturing proteins in vivo from various microenvironments in animals in a dynamic and minimally invasive manner 8-11. No centrifugation is needed since a negative pressure is created by simply syringe withdrawing during sample collection. The CUF probes combined with LC-MS have successfully identified tryptic-digested proteins 8-11. In this study, we upgraded the ultrafiltration sampling technique by creating a lollipop-like ultrafiltration (LLUF) probe that can easily fit in the human oral cavity. The direct analysis by LC-MS without trypsin digestion showed that human saliva indigenously contains many peptide fragments derived from various proteins. Sampling saliva with LLUF probes avoided centrifugation but effectively removed many larger and high abundance proteins. Our mass spectrometric results illustrated that many low abundance peptides became detectable after filtering out larger proteins with LLUF probes. Detection of low abundance saliva peptides was independent of multiple-step sample separation with chromatography. For clinical application, the LLUF probes incorporated with LC-MS could potentially be used in the future to monitor disease progression from saliva.

Considering saliva sampling for future clinical application, a lollipop-like ultrafiltration (LLUF) probe was fabricated to fit in the human oral cavity. Direct analysis of undigested saliva by NanoLC-LTQ mass spectrometry demonstrated the ability of LLUF probes to remove large proteins and high abundance proteins, and make low-abundant peptides more detectable.

Although human saliva proteome and peptidome have been revealed 1-2 they were majorly identified from tryptic digests of saliva proteins. Identification ...

Collecting Saliva and Measuring Salivary Cortisol and Alpha-amylase in Frail Community Residing Older Adults via Family Caregivers

Salivary measures have emerged in bio-behavioral research that are easy-to-collect, minimally invasive, and relatively inexpensive biologic markers of stress. This article we present the steps for collection and analysis of two salivary assays in research with frail, community residing older adults-salivary cortisol and salivary alpha amylase. The field of salivary bioscience is rapidly advancing and the purpose of this presentation is to provide an update on the developments for investigators interested in integrating these measures into research on aging. Strategies are presented for instructing family caregivers in collecting saliva in the home, and for conducting laboratory analyses of salivary analytes that have demonstrated feasibility, high compliance, and yield quality specimens. The protocol for sample collection includes: (1) consistent use of collection materials; (2) standardized methods that promote adherence and minimize subject burden; and (3) procedures for controlling certain confounding agents. We also provide strategies for laboratory analyses include: (1) saliva handling and processing; (2) salivary cortisol and salivary alpha amylase assay procedures; and (3) analytic considerations.

We demonstrate: (1) procedures for collection of salivary samples in cognitive impaired older adults by family caregivers in the home setting, (2) procedures for measuring stress activity via salivary cortisol and alpha amylase, and (3) representative profiles. Protocols that allow researchers to study stress-linked processes advance our understanding of biological sensitivity and susceptibility.

Salivary measures have emerged in bio-behavioral research  that are easy-to-collect, minimally invasive, and relatively inexpensive  biologic markers of ...

A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies

Biomarker research relies on tissue microarrays (TMA). TMAs are produced by repeated transfer of small tissue cores from a &#8216;donor&#8217; block into a &#8216;recipient&#8217; block and then used for a variety of biomarker applications. The construction of conventional TMAs is labor intensive, imprecise, and time-consuming. Here, a protocol using next-generation Tissue Microarrays (ngTMA) is outlined. ngTMA is based on TMA planning and design, digital pathology, and automated tissue microarraying. The protocol is illustrated using an example of 134 metastatic colorectal cancer patients. Histological, statistical and logistical aspects are considered, such as the tissue type, specific histological regions, and cell types for inclusion in the TMA, the number of tissue spots, sample size, statistical analysis, and number of TMA copies. Histological slides for each patient are scanned and uploaded onto a web-based digital platform. There, they are viewed and annotated (marked) using a 0.6-2.0 mm diameter tool, multiple times using various colors to distinguish tissue areas. Donor blocks and 12 &#8216;recipient&#8217; blocks are loaded into the instrument. Digital slides are retrieved and matched to donor block images. Repeated arraying of annotated regions is automatically performed resulting in an ngTMA. In this example, six ngTMAs are planned containing six different tissue types/histological zones. Two copies of the ngTMAs are desired. Three to four slides for each patient are scanned; 3 scan runs are necessary and performed overnight. All slides are annotated; different colors are used to represent the different tissues/zones, namely tumor center, invasion front, tumor/stroma, lymph node metastases, liver metastases, and normal tissue. 17 annotations/case are made; time for annotation is 2-3 min/case. 12 ngTMAs are produced containing 4,556 spots. Arraying time is 15-20 hr. Due to its precision, flexibility and speed, ngTMA is a powerful tool to further improve the quality of TMAs used in clinical and translational research.

A Next-generation Tissue Microarray ngTMA Protocol for Biomarker Studies

The protocol aims at optimizing the construction and quality of tissue microarrays for biomarker research. It includes aspects of planning and design, digital pathology, virtual slide annotation, and automated tissue arraying.

Biomarker research relies on tissue microarrays (TMA). TMAs are produced by repeated transfer of small tissue cores from a &#8216;donor&#8217; block into ...

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

All next-generation sequencing (NGS) procedures include assays performed at the laboratory bench (&#34;wet bench&#34;) and data analyses conducted using bioinformatics pipelines (&#34;dry bench&#34;). Both elements are essential to produce accurate and reliable results, which are particularly critical for clinical laboratories. Targeted NGS technologies have increasingly found favor in oncology applications to help advance precision medicine objectives, yet the methods often involve disconnected and variable wet and dry bench workflows and uncoordinated reagent sets. In this report, we describe a method for sequencing challenging cancer specimens with a 21-gene panel as an example of a comprehensive targeted NGS system. The system integrates functional DNA quantification and qualification, single-tube multiplexed PCR enrichment, and library purification and normalization using analytically-verified, single-source reagents with a standalone bioinformatics suite. As a result, accurate variant calls from low-quality and low-quantity formalin-fixed, paraffin-embedded (FFPE) and fine-needle aspiration (FNA) tumor biopsies can be achieved. The method can routinely assess cancer-associated variants from an input of 400 amplifiable DNA copies, and is modular in design to accommodate new gene content. Two different types of analytically-defined controls provide quality assurance and help safeguard call accuracy with clinically-relevant samples. A flexible &#34;tag&#34; PCR step embeds platform-specific adaptors and index codes to allow sample barcoding and compatibility with common benchtop NGS instruments. Importantly, the protocol is streamlined and can produce 24 sequence-ready libraries in a single day. Finally, the approach links wet and dry bench processes by incorporating pre-analytical sample quality control results directly into the variant calling algorithms to improve mutation detection accuracy and differentiate false-negative and indeterminate calls. This targeted NGS method uses advances in both wetware and software to achieve high-depth, multiplexed sequencing and sensitive analysis of heterogeneous cancer samples for diagnostic applications.

An integrated system for targeted next-generation sequencing of oncology specimens is described. This cross-platform system is optimized for low-quality and low-quantity tumor biopsies, accommodates low DNA inputs, includes well-characterized multi-variant controls, and features a novel variant caller that is informed by quantitative pre-analytical quality control measures.

All next-generation sequencing (NGS) procedures include assays performed at the laboratory bench (&#34;wet bench&#34;) and data analyses conducted using ...

Whole Genome Sequencing of Candida glabrata for Detection of Markers of Antifungal Drug Resistance

Candida glabrata can rapidly acquire mutations that result in drug resistance, especially to azoles and echinocandins. Identification of genetic mutations is essential, as resistance detected in vitro can often be correlated with clinical failure. We examined the feasibility of using whole genome sequencing (WGS) for genome-wide analysis of antifungal drug resistance in C. glabrata. The aim was torecognize enablers and barriers in the implementation WGS and measure its effectiveness. This paper outlines the key quality control checkpoints and essential components of WGS methodology to investigate genetic markers associated with reduced susceptibility to antifungal agents. It also estimates the accuracy of data analysis and turn-around-time of testing.
Phenotypic susceptibility of 12 clinical, and one ATCC strain of C. glabrata was determined through antifungal susceptibility testing. These included three isolate pairs, from three patients, that developed rise in drug minimum inhibitory concentrations. In two pairs, the second isolate of each pair developed resistance to echinocandins. The second isolate of the third pair developed resistance to 5-flucytosine. The remaining comprised of susceptible and azole resistant isolates. Single nucleotide polymorphisms (SNPs) in genes linked to echinocandin, azole and 5-flucytosine resistance were confirmed in resistant isolates through WGS using the next generation sequencing.&#160;Non-synonymous SNPs in antifungal resistance genes such as FKS1, FKS2, CgPDR1, CgCDR1 and FCY2 were identified. Overall, an average of 98% of the WGS reads of C. glabrata isolates mapped to the reference genome with about 75-fold read depth coverage. The turnaround time and cost were comparable to Sanger sequencing.
In conclusion, WGS of C. glabrata was feasible in revealing clinically significant gene mutations involved in resistance to different antifungal drug classes without the need for multiple PCR/DNA sequencing reactions. This represents a positive step towards establishing WGS capability in the clinical laboratory for simultaneous detection of antifungal resistance conferring substitutions.

Whole Genome Sequencing of Candida glabrata for Detection of Markers of Antifungal Drug Resistance

This study implemented whole genome sequencing for analysis of mutations in genes conferring antifungal drug resistance in Candida glabrata. C. glabrata isolates resistant to echinocandins, azoles and 5-flucytosine, were sequenced to illustrate the methodology. Susceptibility profiles of the isolates correlated with presence or absence of specific mutation patterns in genes.

Candida glabrata can rapidly acquire mutations that result in drug resistance, especially to azoles and echinocandins. Identification of genetic mutations ...

On-Site Sampling and Extraction of Brain Tumors for Metabolomics and Lipidomics Analysis

Despite the variety of tools available for cancer diagnosis and classification, methods that enable fast and simple characterization of tumors are still in need. In recent years, mass spectrometry has become a method of choice for untargeted profiling of discriminatory compound as potential biomarkers of a disease. Biofluids are generally considered as preferable matrices given their accessibility and easier sample processing while direct tissue profiling provides more selective information about a given cancer. Preparation of tissues for the analysis via traditional methods is much more complex and time-consuming, and, therefore, not suitable for fast on-site analysis. The current work presents a protocol combining sample preparation and extraction of small molecules on-site, immediately after tumor resection. The sampling device, which is of the size of an acupuncture needle, can be inserted directly into the tissue and then transported to the nearby laboratory for instrumental analysis. The results of metabolomics and lipidomics analyses demonstrate the capability of the approach for the establishment of phenotypes of tumors related to the histological origin of the tumor, malignancy, and genetic mutations, as well as for the selection of discriminating compounds or potential biomarkers. The non-destructive nature of the technique permits subsequent performance of routinely used tests e.g., histological tests, on the same samples used for SPME analysis, thus enabling attainment of more comprehensive information to support personalized diagnostics.

The manuscript presents on-site sampling of human brain tumors with solid phase microextraction followed by their biochemical profiling towards the discovery of biomarkers.

Despite the variety of tools available for cancer diagnosis and classification, methods that enable fast and simple characterization of tumors are still ...

Generation of Hypoparathyroid Rats via Carbon-Nanoparticle-Assisted Parathyroidectomy

Hypoparathyroidism (HypoPT) is a rare disease involving the parathyroid glands that is characterized by a reduced secretion or potency of the parathyroid hormone (PTH), which leads to high serum phosphorus levels and low serum calcium levels. HypoPT most commonly results from accidental damage to the glands or their removal during thyroid or other anterior neck surgery. Parathyroid/thyroid surgery has become more common in recent years, with a corresponding rise in the occurrence of HypoPT as a postoperative complication. There is a critical need for a HypoPT animal model to better understand the mechanisms underlying the effects of HypoPT on mineral ion homeostasis and to verify the therapeutic effectiveness of novel treatments. Here, a technique is reported to create acquired HypoPT in male rats by performing parathyroidectomy (PTX) using carbon nanoparticles. The rat model shows great promise over the mouse models of hypoparathyroidism.&#160;Importantly, the human PTH receptor binding region has an 84.2% sequence similarity with that of the rat, which is higher than the 73.7% similarity shared with mice. Moreover, the effects of estrogen, which can affect the PTH/PTHrP receptor signaling pathway, have not been fully investigated in male rats. Carbon nanoparticles are lymphatic tracers that stain the thyroid lymph nodes black without affecting their function, but they do not stain the parathyroid glands, which makes them easy to identify and remove. In this study, serum PTH levels were undetectable after PTX, and this resulted in significant hypocalcemia and hyperphosphatemia. Thus, the clinical state of postoperative HypoPT can be remarkably represented in the rat model. Carbon-nanoparticle-assisted PTX can, therefore, serve as an extraordinarily effective and readily implementable model for studying the pathogenesis, treatment, and prognosis of HypoPT.

Generation of Hypoparathyroid Rats via Carbon-Nanoparticle-Assisted Parathyroidectomy

An animal model of acquired hypoparathyroidism (HypoPT) is crucial to understanding how HypoPT affects mineral ion homeostasis and to verify the effectiveness of novel treatments. Here, a technique is presented to generate an acquired hypoparathyroidism (AHypoPT) rat model by parathyroidectomy (PTX) using carbon nanoparticles.

Hypoparathyroidism (HypoPT) is a rare disease involving the parathyroid glands that is characterized by a reduced secretion or potency of the parathyroid ...