This work has been funded in part by NIH grants 3RF1AG064250 and R44CA239845.

All urine samples were collected from healthy individuals after informed consent. The experiments were compliant with all ethical standards involving human samples and conform to the guidelines from Purdue University Human Research Protection Program.
1. Sample collection
<ol>
	<li>Centrifuge 12 mL of urine sample in a 15 mL conical centrifuge tube for 10 min at 2,500 x g, 4 &#176;C to remove cell debris and large apoptotic bodies.</li>
	<li>Transfer 10 mL of the su...

Enhancing EV Isolation for Precise Biofluid Analysis

<ol>
	<li>Abels, E. R., Breakefield, X. O. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Introduction+to+extracellular+vesicles:+Biogenesis,+RNA+cargo+selection,+content,+release,+and+uptake.">Introduction to extracellular vesicles: Biogenesis, RNA cargo selection, content, release, and uptake.</a> Cell Mol Neurobiol. 36 (3), 301-312 (2016).</li><li>Maacha, S., 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=Extracellular+vesicles-mediated+intercellular+communication:+roles+in+the+tumor+microenvironment+and+anti-cancer+drug+resistance.">Extracellular vesicles-mediated intercellular communication: roles in the tumor microenvironment and anti-cancer drug resistance.</a> Mol Cancer. 18 (1), 55 (2019).</li><li>van Niel, G., D&#8217;Angelo, G., Raposo, G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Shedding+light+on+the+cell+biology+of+extracellular+vesicles.">Shedding light on the cell biology of extracellular vesicles.</a> Nat Rev Mol Cell Biol. 19 (4), 213-228 (2018).</li><li>Becker, 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=extracellular+vesicles+in+cancer:+cell-to-cell+mediators+of+metastasis.">extracellular vesicles in cancer: cell-to-cell mediators of metastasis.</a> Cancer Cell. 30 (6), 836-848 (2016).</li><li>Bebelman, M. 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C., Pandey, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Phosphoproteomics+in+cancer.">Phosphoproteomics in cancer.</a> Mol Oncol. 4 (6), 482-495 (2010).</li><li>Singh, V., 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=Phosphorylation:+Implications+in+Cancer.">Phosphorylation: Implications in Cancer.</a> Protein J. 36 (1), 1-6 (2017).</li><li>Delom, F., Chevet, E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Phosphoprotein+analysis:+from+proteins+to+proteomes.">Phosphoprotein analysis: from proteins to proteomes.</a> Proteome Sci. 4, 15 (2006).</li><li>Thingholm, T. E., Jensen, O. N., Larsen, M. 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A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Highly+Efficient+Phosphoproteome+Capture+and+Analysis+from+Urinary+Extracellular+Vesicles.">Highly Efficient Phosphoproteome Capture and Analysis from Urinary Extracellular Vesicles.</a> J Proteome Res. 17 (9), 3308-3316 (2018).</li><li>Iliuk, 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=Plasma-derived+extracellular+vesicle+phosphoproteomics+through+chemical+affinity+purification.">Plasma-derived extracellular vesicle phosphoproteomics through chemical affinity purification.</a> J Proteome Res. 19 (7), 2563-2574 (2020).</li><li>Iliuk, A. B., Martin, V. A., Alicie, B. M., Geahlen, R. L., Tao, W. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=In-depth+analyses+of+kinase-dependent+tyrosine+phosphoproteomes+based+on+metal+ion-functionalized+soluble+nanopolymers.">In-depth analyses of kinase-dependent tyrosine phosphoproteomes based on metal ion-functionalized soluble nanopolymers.</a> Mol Cell Proteomics. 9 (10), 2162-2172 (2010).</li><li>Hadisurya, 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=Quantitative+proteomics+and+phosphoproteomics+of+urinary+extracellular+vesicles+define+diagnostic+and+prognostic+biosignatures+for+Parkinson&#8217;s+Disease.">Quantitative proteomics and phosphoproteomics of urinary extracellular vesicles define diagnostic and prognostic biosignatures for Parkinson&#8217;s Disease.</a> Commun Med. 3 (1), 64 (2023).</li><li>Hadisurya, 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=Data-independent+acquisition+phosphoproteomics+of+urinary+extracellular+vesicles+enables+renal+cell+carcinoma+grade+differentiation.">Data-independent acquisition phosphoproteomics of urinary extracellular vesicles enables renal cell carcinoma grade differentiation.</a> Mol Cell Proteomics. 22 (5), 100536 (2023).</li><li>Wu, X., Liu, Y. K., Iliuk, A. B., Tao, W. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Mass+spectrometry-based+phosphoproteomics+in+clinical+applications.">Mass spectrometry-based phosphoproteomics in clinical applications.</a> Trends Analyt Chem. 163, 117066 (2023).</li><li>Mathieu, 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=Specificities+of+exosome+versus+small+ectosome+secretion+revealed+by+live+intracellular+tracking+of+CD63+and+CD9.">Specificities of exosome versus small ectosome secretion revealed by live intracellular tracking of CD63 and CD9.</a> Nat Commun. 12 (1), 4389 (2021).</li><li>Mahmood, T., Yang, P. 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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=Isolation+of+exosomes+by+differential+centrifugation:+Theoretical+analysis+of+a+commonly+used+protocol.">Isolation of exosomes by differential centrifugation: Theoretical analysis of a commonly used protocol.</a> Sci Rep. 5, 17319 (2015).</li><li>Konoshenko, M. Y., Lekchnov, E. A., Vlassov, A. V., Laktionov, P. 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A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Sample+preparation+for+relative+quantitation+of+proteins+using+tandem+mass+tags+(TMT)+and+mass+spectrometry+(MS).">Sample preparation for relative quantitation of proteins using tandem mass tags (TMT) and mass spectrometry (MS).</a> Methods Mol Biol. 1741, 135-149 (2018).</li><li>Charles Jacob, H. K., 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=Identification+of+novel+early+pancreatic+cancer+biomarkers+KIF5B+and+SFRP2+from+&#8220;first+contact&#8221;+interactions+in+the+tumor+microenvironment.">Identification of novel early pancreatic cancer biomarkers KIF5B and SFRP2 from &#8220;first contact&#8221; interactions in the tumor microenvironment.</a> J Exp Clinl Cancer Res. 41 (1), 258 (2022).</li><li>Nunez Lopez, Y. O., 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=Extracellular+vesicle+proteomics+and+phosphoproteomics+identify+pathways+for+increased+risk+in+patients+hospitalized+with+COVID-19+and+type+2+diabetes+mellitus.">Extracellular vesicle proteomics and phosphoproteomics identify pathways for increased risk in patients hospitalized with COVID-19 and type 2 diabetes mellitus.</a> Diabetes Res Clin Pract. 197, 110565 (2023).</li><li>Hinzman, C. P., 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+multi-omics+approach+identifies+pancreatic+cancer+cell+extracellular+vesicles+as+mediators+of+the+unfolded+protein+response+in+normal+pancreatic+epithelial+cells.">A multi-omics approach identifies pancreatic cancer cell extracellular vesicles as mediators of the unfolded protein response in normal pancreatic epithelial cells.</a> J Extracell Vesicles. 11 (6), e12232 (2022).</li><li>Kornilov, 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=Efficient+ultrafiltration-based+protocol+to+deplete+extracellular+vesicles+from+fetal+bovine+serum.">Efficient ultrafiltration-based protocol to deplete extracellular vesicles from fetal bovine serum.</a> J Extracell Vesicles. 7 (1), 1422674 (2018).</li><li>Willms, E., 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=Cells+release+subpopulations+of+exosomes+with+distinct+molecular+and+biological+properties.">Cells release subpopulations of exosomes with distinct molecular and biological properties.</a> Sci Rep. 6, 22519 (2016).</li><li>Searle, B. C., 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=Generating+high+quality+libraries+for+DIA+MS+with+empirically+corrected+peptide+predictions.">Generating high quality libraries for DIA MS with empirically corrected peptide predictions.</a> Nat Commun. 11 (1), 1548 (2020).</li><li>Skowronek, P., 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=Rapid+and+in-depth+coverage+of+the+(Phospho-)proteome+with+deep+libraries+and+optimal+window+design+for+dia-PASEF.">Rapid and in-depth coverage of the (Phospho-)proteome with deep libraries and optimal window design for dia-PASEF.</a> Mol Cell Proteomics. 21 (9), 100279 (2022).</li></ol>

Effective EV isolation is an essential prerequisite to detecting low-abundant proteins and phosphoproteins in EVs. Despite the development of numerous methods to fulfill this need, the majority still suffer from limitations such as poor recovery or low reproducibility, which impede their utilization in large-scale studies and routine clinical settings. DUC is generally considered as the most common method for EV isolation, and the additional washing steps are normally applied to help increase the purity of target EVs<sup...

Extracellular vesicles (EVs) are membrane-encapsulated nanoparticles secreted by all types of cells and are present in biofluids such as blood, urine, saliva, etc.1,2,3,4. EVs carry a cargo of diverse bioactive molecules which reflect the physiological and pathological state of their host cells and, therefore function as crucial factors in disease progression4,5,6. Moreover, extensive studies have established that EV-based disease markers can be identified prior to the onset of symptoms or the physiological detection of tumors5,6,7.
Phosphorylation acts as a key mechanism in cellular signaling and regulation. Therefore, phosphoproteins provide a valuable source for biomarker discovery as aberrant phosphorylation events are associated with dysregulated cellular signaling pathways and metastatic disease development such as cancer8,9,10. Although profiling phosphorylation dynamics allows for the identification of disease-specific phosphoprotein signatures as potential biomarkers, the low abundance and dynamic nature of phosphoproteins pose major challenges in developing phosphoproteins as biomarkers11,12. Notably, the low-abundant phosphoproteins encapsulated within EVs are protected from external enzymatic digestion in the extracellular environment8. Consequently, EVs and EV-derived phosphoproteins offer an ideal source for biomarker discovery in the early-stage detection of cancer and other diseases.
Although analysis of protein phosphorylation in EVs offers a valuable resource for understanding cancer signaling and early-stage disease diagnosis, the lack of efficient EV isolation methods presents a major barrier. EV isolation is commonly achieved through differential ultracentrifugation (DUC)13. However, this method is time-consuming and is not suitable for clinical implications due to low throughput and poor reproducibility13,14. Alternative EV isolation approaches, such as polymer-induced precipitation15, are limited by low specificity due to co-precipitation of non-EV proteins. Affinity-based approaches, including antibody-based affinity capture16 and affinity filtration17, offer enhanced specificity but are restricted to a relatively low recovery rate due to small volume.
To address the issues in exploring phosphoprotein dynamics in EVs, our group has developed extracellular vesicles total recovery and purification (EVtrap) technique based on chemical affinity to capture EVs onto functionalized magnetic beads18. Previous results have demonstrated that this magnetic bead-based EV isolation method is highly effective in isolating EVs from a wide range of biofluid samples and is able to achieve much higher EV yield while minimizing contamination compared to DUC and other existing isolation methods18,19. We have successfully utilized EVtrap and a titanium-based phosphopeptide enrichment method developed by our group20 to profile the phosphoproteome of EVs derived from diverse biofluids and to detect potential phosphoprotein biomarkers for various diseases19,21,22.
Here, we present a protocol based on EVtrap for the isolation of circulating EVs. The protocol focuses on the urinary EVs. We also demonstrate the characterization of isolated EVs using western blotting. We then detail the sample preparation and mass spectrometry (MS) acquisition for both proteomics and phosphoproteomics analyses. This protocol provides an efficient and reproducible workflow for profiling the urinary EV proteome and phosphoproteome, which will facilitate further studies on EVs and their clinical applications23.

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>1.5 mL microcentrifuge tube</td>
			<td>Life Science Products</td>
			<td>M-1700C-LB</td>
			<td></td>
		</tr>
		<tr>
			<td>1.5 mL tube magnetic separator rack</td>
			<td>Sergi Lab Supplies</td>
			<td>1005</td>
			<td></td>
		</tr>
		<tr>
			<td>15 mL conical centrifuge tube</td>
			<td>Corning&#160;</td>
			<td>352097</td>
			<td></td>
		</tr>
		<tr>
			<td>15 mL tube magnetic separator rack</td>
			<td>Sergi Lab Supplies</td>
			<td>1002</td>
			<td></td>
		</tr>
		<tr>
			<td>Anti-rabbit IgG, HRP-linked Antibody</td>
			<td>Cell Signaling Technology</td>
			<td>7074P2</td>
			<td></td>
		</tr>
		<tr>
			<td>Benchtop incubated shaker</td>
			<td>Bioer</td>
			<td>DIS-87999-3367802</td>
			<td>Bioer Thermocell Mixing Block MB-101</td>
		</tr>
		<tr>
			<td>CD9 (D3H4P) Rabbit mAb</td>
			<td>Cell Signaling Technology</td>
			<td>13403S</td>
			<td></td>
		</tr>
		<tr>
			<td>Chloroacetamide</td>
			<td>Sigma -Aldrich</td>
			<td>C0267-100G</td>
			<td>Used for alkylation of reduced sulfide groups. Freshly prepare 400 mM in water as stock solution.</td>
		</tr>
		<tr>
			<td>Ethyl acetate&#160;</td>
			<td>Fisher Scientific&#160;</td>
			<td>E145-4</td>
			<td>Precipitates detergents</td>
		</tr>
		<tr>
			<td>Evosep One&#160;</td>
			<td>Evosep</td>
			<td></td>
			<td>Liquid chromatography system</td>
		</tr>
		<tr>
			<td>Evotips</td>
			<td>Evosep</td>
			<td>EV2013</td>
			<td>Sample loading for Evosep One system&#160;</td>
		</tr>
		<tr>
			<td>EVtrap</td>
			<td>Tymora Analytical</td>
			<td></td>
			<td>Functionalized magnetic beads, loading buffer, and washing buffer&#160;</td>
		</tr>
		<tr>
			<td>Immobilon-FL PVDF Membrane</td>
			<td>Sigma -Aldrich</td>
			<td>IPFL00010</td>
			<td>Blotting membrane&#160;</td>
		</tr>
		<tr>
			<td>NuPAGE 4-12% Bis-Tris Gel</td>
			<td>Invitrogen</td>
			<td>NP0322BOX</td>
			<td>Invitrogen NuPAGE 4 to 12%, Bis-Tris, 1.0 mm, Mini Protein Gel, 12-well</td>
		</tr>
		<tr>
			<td>NuPAGE LDS Sample Buffer (4X)</td>
			<td>Invitrogen</td>
			<td>NP0007</td>
			<td></td>
		</tr>
		<tr>
			<td>PBS</td>
			<td>ThermoFisher</td>
			<td>10010023</td>
			<td></td>
		</tr>
		<tr>
			<td>Pepsep C18 15 x 75 x 1.9</td>
			<td>Bruker&#160;</td>
			<td>1893473</td>
			<td>Separation column&#160;</td>
		</tr>
		<tr>
			<td>Phosphatase Inhibitor Cocktail 2</td>
			<td>Sigma -Aldrich</td>
			<td>P5726-5ML</td>
			<td>100X, Phosphotase inhibitor.</td>
		</tr>
		<tr>
			<td>Phosphatase Inhibitor Cocktail 3</td>
			<td>Sigma -Aldrich</td>
			<td>P0044-1ML</td>
			<td>100X,&#160; Phosphotase inhibitor.&#160;</td>
		</tr>
		<tr>
			<td>Pierce BCA Protein Assay Kit</td>
			<td>ThermoFisher</td>
			<td>23225</td>
			<td></td>
		</tr>
		<tr>
			<td>Pierce ECL Western Blotting Substrate</td>
			<td>ThermoFisher</td>
			<td>32106</td>
			<td>HRP substrate&#160;</td>
		</tr>
		<tr>
			<td>PolyMAC phosphopeptide enrichment kit</td>
			<td>Tymora Analytical</td>
			<td></td>
			<td>Polymer-based metal ion affinity capture (PolyMAC) for phosphopeptide enrichment</td>
		</tr>
		<tr>
			<td>Sodium deoxycholate&#160;</td>
			<td>Sigma -Aldrich</td>
			<td>D6750-10G</td>
			<td>Detergent for lysis buffer. Prepare 120 mM in water as stock solution.</td>
		</tr>
		<tr>
			<td>Sodium lauroyl sarcosinate&#160;</td>
			<td>Sigma -Aldrich</td>
			<td>L9150-50G</td>
			<td>Detergent for lysis buffer. Prepare 120 mM in water as stock solution.</td>
		</tr>
		<tr>
			<td>timsTOF HT</td>
			<td>Bruker</td>
			<td></td>
			<td>Trapped ion-mobility time-of-flight mass spectrometry</td>
		</tr>
		<tr>
			<td>TopTip C-18 (10-200 &#956;L) tips&#160;</td>
			<td>Glygen</td>
			<td>TT2C18.96</td>
			<td>Desalting method</td>
		</tr>
		<tr>
			<td>Triethylamine</td>
			<td>Sigma -Aldrich</td>
			<td>471283-100ML</td>
			<td>For EV elution.&#160;</td>
		</tr>
		<tr>
			<td>Triethylammonium bicabonate buffer</td>
			<td>Sigma -Aldrich</td>
			<td>T7408-100ML</td>
			<td>1 M</td>
		</tr>
		<tr>
			<td>Trifluoroacetic acid</td>
			<td>Sigma -Aldrich</td>
			<td>302031-100ML</td>
			<td></td>
		</tr>
		<tr>
			<td>Tris-(2-carboxyethyl)phosphine hydrochloride</td>
			<td>Sigma -Aldrich</td>
			<td>C4706</td>
			<td>Used for reducion of disulfide bonds. Prepare 200 mM in water as stock solution. Aliquot the stock solution into small volume and store it in at-20&#176;C (avoid multiple freeze-thaw cycles).</td>
		</tr>
		<tr>
			<td>Trypsin/Lys-C MIX</td>
			<td>ThermoFisher</td>
			<td>PIA41007</td>
			<td></td>
		</tr>
	</tbody>
</table>

chemical affinity-based isolation of extracellular vesicles from biofluids for proteomics and phosphoproteomics analysis

Extracellular vesicles (EVs) from biofluids have recently gained significant attention in the field of liquid biopsy. Released by almost every type of cell, they provide a real-time snapshot of host cells and contain a wealth of molecular information, including proteins, in particular those with post-translational modifications (PTMs) such as phosphorylation, as the main player of cellular functions and disease onset and progression. However, the isolation of EVs from biofluids remains challenging due to low yields and impurities from current EV isolation methods, making the downstream analysis of EV cargo, such as EV phosphoproteins, difficult. Here, we describe a rapid and effective EV isolation method based on functionalized magnetic beads for EV isolation from biofluids such as human urine and downstream proteomics and phosphoproteomics analysis following EV isolation. The protocol enabled a high recovery yield of urinary EVs and sensitive profiles of EV proteome and phosphoproteome. Furthermore, the versatility of this protocol and relevant technical considerations are also addressed here.

Author Spotlight: Advancing EVtrap for High-Throughput Proteomics in Disease Biomarker Discovery 

Chemical Affinity-Based Isolation of Extracellular Vesicles from Biofluids for Proteomics and Phosphoproteomics Analysis

We are working on extracellular vesicle-based biomarker discovery. One important step is to isolate them efficiently and selectively. EVtrap, which is based on magnetic bead-based separation, can really help us by providing high throughput, easy to use, in particular, easy for clinical applications.We have been using this protocol for discovery in proteins and the phosphoprotein biomarkers for different diseases such as breast cancer, kidney cancers, and Parkinson's Disease. This biomarker is derived from biofluid. EVs can potentially be used for liquid biopsies, which can further improve clinical diagnosis and the treatment.Currently, the most commonly used approach for extracellular vesicle isolation are ultracentrifugation and precipitation, but those methods are limited to co-isolation of contaminants and also low efficiency. So our EVtrap method will provide a more effective way for isolating EVs, which will allow for a more reproducible and sensitive method and also will benefit downstream analysis. We are working on two things.First, we are continue developing the methods and protocols for EV isolation and a downstream analysis, in particular, a mass backup-based analysis. Second one is we are exploring different application in clinical field because of the advantage by the EVtrap.

This protocol demonstrates a comprehensive workflow from the isolation of EVs to downstream proteomics and phosphoproteomics analyses (Figure 1). The triplicate urine samples were subjected to EV isolation. The isolated EVs were characterized by western blotting and subsequently processed for mass spectrometry-based proteomics sample preparation including protein extraction, enzymatic digestion, and peptide cleanup. For phosphoproteomics analysis, the phosphopeptides were further enriched ba...

Watch this Scientific Journal Video about Advancing EVtrap for High-Throughput Proteomics in Disease Biomarker Discovery at JoVE.com

The present protocol provides detailed descriptions for the efficient isolation of urinary extracellular vesicles utilizing functionalized magnetic beads. Moreover, it encompasses subsequent analyses, including western blotting, proteomics, and phosphoproteomics.

Extracellular vesicles (EVs) from biofluids have recently gained significant attention in the field of liquid biopsy. Released by almost every type of ...

chemical-affinity-based-isolation-extracellular-vesicles-from

Research

JoVE Journal

Biochemistry

2.0K ビュー.  Purdue University. 私たちは、細胞外小胞を用いたバイオマーカーの探索に取り組んでいます。重要なステップの 1 つは、それらを効率的かつ選択的に分離することです。EVtrapは、磁気ビーズベースの分離に基づいており、ハイスループットで使いやすく、特に臨床用途に容易であることから、当社に大いに役立ちます。私たちは、乳がん、腎臓がん、パーキンソン病などのさまざま?...

ビデオ: 著者スポットライト: Advancing EVtrap for High-Throughput Proteomics in Disease Biomarker Discovery 

The present protocol provides detailed descriptions for the efficient isolation of urinary extracellular vesicles utilizing functionalized magnetic beads. Moreover, it encompasses subsequent analyses, including western blotting, proteomics, and...

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breath collection from children for disease biomarker discovery

Breath Collection from Children for Disease Biomarker Discovery

This protocol describes a simple method for the acquisition of breath samples from children. Briefly, samples of mixed air are pre-concentrated in sorbent tubes prior to gas chromatography-mass spectrometry analysis. Breath biomarkers of infectious and non-infectious diseases can be identified using this breath collection...

polymer microarrays for high throughput discovery of biomaterials

Polymer Microarrays for High Throughput Discovery of Biomaterials

A description of the formation of a polymer microarray using an on-chip photopolymerization technique. The high throughput surface characterization using atomic force microscopy, water contact angle measurements, X-ray photoelectron spectroscopy and time of flight secondary ion mass spectrometry and a cell attachment assay is also...

high-throughput optogenetics experiments in yeast using the automated platform lustro

Author Spotlight: Advancing Optogenetics Research Using Lustro 

This protocol outlines the steps for utilizing the automated platform Lustro to perform high-throughput characterization of optogenetic systems in...

Yeast Optogenetic Response Analysis Using the Lustro Automation Technique

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label-free quantitative proteomics workflow for discovery-driven host-pathogen interactions

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Here, we present a protocol to profile the interplay between host and pathogen during infection by mass spectrometry-based proteomics. This protocol uses label-free quantification to measure changes in protein abundance of both host (e.g., macrophages) and pathogen (e.g., Cryptococcus neoformans) in a single...

high throughput sequential elisa for validation of biomarkers of acute graft-versus-host disease

High Throughput Sequential ELISA for Validation of Biomarkers of Acute Graft-Versus-Host Disease

High throughput validation of multiple candidate biomarkers can be performed by sequential ELISA in order to minimize freeze/thaw cycles and use of precious plasma samples. Here, we demonstrate how to sequentially perform ELISAs for six different validated plasma biomarkers1-3 of graft-versus-host disease (GVHD)4 on the same plasma...

low molecular weight protein enrichment on mesoporous silica thin films for biomarker discovery

Low Molecular Weight Protein Enrichment on Mesoporous Silica Thin Films for Biomarker Discovery

We developed a technology based on mesoporous silica thin film for the selective recovery of low molecular weight proteins and peptides from human serum. The physico-chemical properties of our mesoporous chips were finely tuned to provide substantial control in peptide enrichment and consequently profile the serum proteome for diagnostic...

crispr-cas-mediated multianalyte synthetic urine biomarker test for portable diagnostics

Author Spotlight: Engineering Molecular Tools for Disease Detection and Imaging

This protocol describes a CRISPR-Cas-mediated, multianalyte synthetic urine biomarker test that enables point-of-care cancer diagnostics through the ex vivo analysis of tumor-associated protease...

CRISPR-Cas Synthetic Urine Biomarker Test for Cancer Diagnostics

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phospho flow cytometry with fluorescent cell barcoding for single cell signaling analysis and biomarker discovery

Phospho Flow Cytometry with Fluorescent Cell Barcoding for Single Cell Signaling Analysis and Biomarker Discovery

Here, a protocol for medium- to high-throughput analysis of protein phosphorylation events at the cellular level is presented. Phospho flow cytometry is a powerful approach to characterize signaling aberrations, identify and validate biomarkers, and assess...

microarray-based identification of individual herv loci expression: application to biomarker discovery in prostate cancer

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Human endogenous retroviruses (HERV), which occupy 8% of the human genome, retain scarce coding capacities but a hundred thousand long terminal repeats (LTRs). A custom Affymetrix microarray was designed to identify individual HERV locus expression and was used on prostate cancer tissues as a proof of concept for future clinical...

a protein suspension-trapping sample preparation for tear proteomics by liquid chromatography-tandem mass spectrometry

Author Spotlight: Advancing Tear Fluid Analysis Using a Standardized Protocol for Proteomics Research 

This protocol describes a method for collecting tear samples using Schirmer strips and an integrated quantitative workflow for discovering non-invasive tear protein biomarkers. The suspension trapping sample preparation workflow enables fast and robust tear sample preparation and mass spectrometric analysis, resulting in higher peptide recovery yields and protein identification than standard in-solution procedures.

Non-Invasive Biomarker Discovery for Tear Proteomics Using LC-MS

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sampling cerebrospinal fluid and blood from lateral tail vein in rats during eeg recordings

Author Spotlight: Obtaining High-Quality CSF and Blood Samples for Epilepsy Biomarker Discovery 

The protocol shows repeated cerebrospinal fluid and blood collections from epileptic rats performed in parallel with continuous video-electroencephalogram (EEG) monitoring. These are instrumental for exploring possible links between changes in various body fluid molecules and seizure activity.

Cerebrospinal Fluid and Blood Withdrawal from Rats with Concurrent EEG Recording

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development of compendium for esophageal squamous cell carcinoma

Author Spotlight: Integrative Bioinformatics Approach for the Discovery of Differentially Expressed Molecules in Esophageal Squamous Cell Carcinoma

This protocol describes a useful tool for identifying significant molecular changes in cancer and leads to the development of new diagnostic and therapeutic approaches for esophageal squamous cell...

Pipeline for Analyzing Microarray Data in Esophageal Cancer Research

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rapid quantification of oxidized and reduced forms of glutathione using ortho -phthalaldehyde in cultured mammalian cells in vitro

Author Spotlight: Innovating Thiol Quantification and Biomarker Detection for Oxidative Stress Research 

Quantification of both oxidized and reduced forms of glutathione (GSSG and GSH, respectively) has been achieved through the use of Ortho-phthalaldehyde (OPA). OPA becomes highly fluorescent once conjugated to GSH but is unable to conjugate GSSG until reduced. Here, we describe a multiparametric assay to quantify both using protein quantification for...

GSH/GSSG Measurement &amp;#8211; A Refined OPA Assay for Antioxidant Research

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deepomicsae: representing signaling modules in alzheimer's disease with deep learning analysis of proteomics, metabolomics, and clinical data

Author Spotlight: Advancing Alzheimer&#039;s Research &amp;#8211; Exploring Early Detection and Multi-Omics Approaches

DeepOmicsAE is a workflow centered on the application of a deep learning method (i.e., an autoencoder) to reduce the dimensionality of multi-omics data, providing a foundation for predictive models and signaling modules representing multiple layers of omics...

DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data

microbiological rapid on-site evaluation for pulmonary infectious diseases

Author Spotlight: Advancing Pathogen Detection and Disease Assessment in Real-Time Using M-ROSE

The protocol here demonstrates a fast and standardized microbiological rapid on-site evaluation (M-ROSE) workflow, including three steps: slide making, staining, and interpretation. This protocol will help physicians make rapid clinical...

Enhancing Pulmonary Infection Treatment Using M-ROSE

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biomarker identification for gender specificity of alzheimer's disease based on the glial transcriptome profiles

Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer&amp;#39;s Disease

This study analyzed single-nuclei transcriptomes of thirty-three individuals with Alzheimer's disease (AD), revealing sex-specific DEGs in glial cells. Functional enrichment analysis highlighted synaptic, neural, and hormone-related pathways. Key genes, namely NLGN4Y and its regulators, were identified, and potential therapeutic candidates for gender-specific AD were...

Sex-Specific Glial Biomarkers in Alzheimer&amp;#39;s Disease: A Transcriptome Analysis

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establishment and optimization of a high throughput setup to study staphylococcus epidermidis and mycobacterium marinum infection as a model for drug discovery

Establishment and Optimization of a High Throughput Setup to Study Staphylococcus epidermidis and Mycobacterium marinum Infection as a Model for Drug Discovery

This video article describes the high throughput pipeline that has been successfully established to infect and analyze large numbers of zebrafish embryos providing a new powerful tool for compound testing and drug discovery using a whole animal vertebrate...

Establishment and Optimization of a High Throughput Setup to Study Staphylococcus epidermidis and Mycobacterium marinum Infection as a Model for Drug Discovery

Extracellular Vesicle (EV) Isolation from Human Urine Samples Using the EVtrap Approach

To begin, collect the urine samples from healthy individuals. Centrifuge 12 milliliters of sample in a 15 milliliter conical tube to eliminate cell debris in large apoptotic bodies. Then, transfer 10 milliliters of the supernatant into a fresh 15 milliliter tube.Add one milliliter of loading buffer and 200 microliters of EV trap bead slurry to the sample. Incubate the sample at room temperature for 30 minutes with end over end rotation. To pellet the sample, place the 15 milliliter conical tube on a magnetic separator rack.Carefully remove the supernatant and re-suspend the beads in one milliliter of washing buffer. Then, transfer the suspension to a 1.5 milliliter micro centrifuge tube and gently pipette to re-suspend the extracellular vesicle or EV-bound beads. Place the micro centrifuge tube on a magnetic separator rack for 1.5 milliliter tubes.Using a P200 pipette, carefully aspirate the supernatant. Now, wash the beads with one milliliter of washing buffer, followed by two washes with one milliliter of PBS at room temperature. Incubate the beads with 100 microliters of freshly prepared 100 millimolar Triethanolamine for five minutes.Using 1.5 milliliter micro centrifuge tube magnetic separator rack, collect the eluded solution containing EVs. After combining the eluded solutions, dry the eluit, using a vacuum centrifuge concentrator at four degrees Celsius.

Preparation of Dried Extracellular Vesicle (EV) Sample for Proteomics and Phosphoproteomics Analysis

To begin, take the dried extracellular vesicle sample obtained from the human urine using the EV trap approach. Prepare a fresh lysis buffer with the shown components. Then add 100 microliters of lysis buffer to solubilize the dried EV sample.Heat the sample at 95 degrees Celsius for 10 minutes while shaking at 1, 100 RPM. After cooling the sample to room temperature, dilute it fivefold by adding 400 microliters of 50 millimolar TEAB. Measure the protein concentration using a BCA assay kit according to the manufacturer's instructions.Add trypsin and lysine C mix to the sample an incubate at 37 degrees celsius overnight with shaking at 1, 100 RPM. Then add 50 microliters of 10%trifluoroacetic acid or TFA to acidify the sample. Further, add 600 microliters of ethyl acetate to the samples and vortex the mixture for two minutes.Centrifuge the sample for three minutes at 20, 000 G and carefully remove the upper layer without disturbing the interface. Dry the aqueous phase using a vacuum centrifuge concentrator. Now resuspend the dried sample in 200 microliters of 0.1%TFA to acidify peptides.To desalt the sample, use a CA18 desalting tip and condition it with 200 microliters of 0.1%TFA and 80%acetonitrile, followed by two washes with 200 microliters of 0.1%TFA. Load the acidified peptide sample into the tip and wash it three times with 200 microliters of 0.1%TFA. Elute the peptides with 200 microliters of 0.1%TFA and 80%acetonitrile.After drawing the eluent as demonstrated, resuspend the dried to phosphoproteomics sample in 200 microliters of loading buffer for phosphopeptide enrichment. Add 50 microliters of the beads to the sample and vigorously shake for 20 minutes at room temperature. Load the sample with the beads into the fritted tip and centrifuge for one minute at 100 G.Wash the tip successively with 200 microliters of loading buffer, washing buffers one and two.Place the tip with beads into a new tube to collect the eluded phosphopeptides. Add 50 microliters of elution buffer to the tip and centrifuge for two minutes at 20 G.Then dry the eluded phosphopeptides using a vacuum centrifuge concentrator.

Proteome/Phosphoproteome Analysis of the Extracellular Vesicle (EV) Samples Using LC-MS/MS

To begin, prepare proteome and phosphoproteome samples of the extracellular vesicles isolated from the urine samples using the EVtrap approach. Inject the samples into the trapped ion-mobility time-of-flight mass spectrometer through the liquid chromatography system. Separate the peptides into a 15-centimeter C18 column.For proteomics analysis, acquire data using the dia-PASEF method with a mass range per ramp to span from 300 to 1200 mass-to-charge ratio and ion-mobility constant from 0.6 to 1.50 1/Knot. For phosphoproteomics analysis, acquire data using a dia-PASEF acquisition method. Set the mass range per ramp to span from 400 to 1550 mass-to-charge ratio in ion-mobility constant from 0.6 to 1.50 1/Knot.Load the raw files into proteomic software. Set up the search parameters in the homo sapiens database. For Digest Type, select Specific, and under Enzymes, select TrypsinP.Define the Peptide Length to a minimum of 7 and a maximum of 52 and allow two missed cleavages. Then set the Maximum Variable Modifications to 5. The Fixed Modification should be Carbamidomethyl at Cystine, while the Variable Modifications should include Acetyl Protein N-Terminal, Oxidation at Methionine, and Phosphorylation at Serine, Threonine, and Tyrosine.Finally, set the false discovery rate for peptide spectrum match, peptide, and protein group to 0.01. In the LCMS and MS proteomic profiling, 2%of each sample revealed over 11, 000 unique peptides from approximately 2, 200 proteins. Notably, 72%of unique proteins were consistently found in all three replicates and 90 top EV markers and proteins were identified compared to the ExoCarta database.Quantitative precision was confirmed with a low-medium coefficient of variation of 5.7%signifying high reproducibility and reliability. For phosphoproteomics, 98%of each peptide sample yielded 800 unique phosphopeptides and 350 phosphoproteins. The enrichment resulted in 72%phosphoserine, 22%phosphothreonine, and 6%phosphotyrosine peptides.42%of phosphopeptides were identified in all replicates in a medium coefficient of variation of 21.8%was observed, indicating acceptable quantitative reproducibility.