{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T18:58:59Z","timestamp":1792263539961,"version":"4.4.0"},"reference-count":31,"publisher":"Wiley","issue":"15","license":[{"start":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T00:00:00Z","timestamp":1714694400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Proteomics"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Plasma is an abundant source of proteins and potential biomarkers to aid in the detection, diagnosis, and prognosis of human diseases. These proteins are often present at low levels in the blood and difficult to identify and measure due to the large dynamic range of proteins. The goal of this work was to characterize and compare various protein precipitation methods related to how they affect the depth and breadth of plasma proteomic studies. Abundant protein precipitation with perchloric acid (PerCA) can increase protein identifications and depth of plasma proteomic studies. Three acid\u2010 and four solvent\u2010based precipitation methods were evaluated. All methods tested provided excellent plasma proteomic coverage (&gt;600 identified protein groups) and detected protein in the low pg\/mL range. Functional enrichment analysis revealed subtle differences within and larger changes between the precipitant groups. Methanol\u2010based precipitation outperformed the other methods based on identifications and reproducibility. The methods\u2019 performance was verified using eight lung cancer patient samples, where &gt;700 protein groups were measured and proteins with an estimated plasma concentration of \u223c10\u00a0pg\/mL were detected. Various protein precipitation agents are amenable to extending the depth and breadth of plasma proteomes. These data can guide investigators to implement inexpensive, high\u2010throughput methods for their plasma proteomic workflows.<\/jats:p>","DOI":"10.1002\/pmic.202400071","type":"journal-article","created":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T09:15:35Z","timestamp":1714727735000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Characterization of effective, simple, and low\u2010cost precipitation methods for depleting abundant plasma proteins to enhance the depth and breadth of plasma proteomics"],"prefix":"10.1002","volume":"24","author":[{"given":"Shawn J.","family":"Rice","sequence":"first","affiliation":[{"name":"Penn State Cancer Institute Penn State College of Medicine  Hershey Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5049-5329","authenticated-orcid":false,"given":"Chandra P.","family":"Belani","sequence":"additional","affiliation":[{"name":"Penn State Cancer Institute Penn State College of Medicine  Hershey Pennsylvania USA"},{"name":"Department of Medicine Penn State College of Medicine  Hershey Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,5,3]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1373\/clinchem.2009.126706"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1074\/mcp.r200007\u2010mcp200"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jproteome.2c00122"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.adf9717"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467\u2010020\u201017033\u20107"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jproteome.9b00503"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1038\/srep14664"},{"key":"e_1_2_9_9_1","doi-asserted-by":"crossref","unstructured":"Nickerson J. L. Baghalabadi V. Dang Z. Miller V. A. Little S. L. &Doucette A. 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