{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T05:06:19Z","timestamp":1789103179033,"version":"build-2803163510"},"reference-count":54,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T00:00:00Z","timestamp":1788912000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006769","name":"Russian Science Foundation","doi-asserted-by":"crossref","award":["24-74-10098"],"award-info":[{"award-number":["24-74-10098"]}],"id":[{"id":"10.13039\/501100006769","id-type":"DOI","asserted-by":"crossref"}]},{"award":["24-74-10098"],"award-info":[{"award-number":["24-74-10098"]}],"id":[{"id":"https:\/\/ror.org\/03y2gwe85","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Mol. Sci.","IJMS"],"abstract":"<jats:p>Protein variability patterns in cancer reflects both technical variation and biological heterogeneity and may provide information beyond mean abundance changes. We analyzed protein-level coefficients of variation across four ovarian cancer proteomic datasets, comparing controls and cancer samples. We analyzed protein-level coefficients of variation (CVs) across four ovarian cancer proteomic datasets, comparing control and tumor samples. Among 7476 proteins, the median CV increased from 93% in controls to 126% in cancer, and the distributions differed significantly between the two groups (Wilcoxon p &lt; 2.2 \u00d7 10\u221216; Kolmogorov\u2013Smirnov p = 4.2 \u00d7 10\u2212242). The largest increases in variability were observed among proteins with low inter-individual variability in controls, whereas proteins that were already highly variable showed more heterogeneous behavior, including decreases in CV. Thus, cancer was associated not only with an overall increase in variability but also with a redistribution of proteins across variability states. Gene Ontology analysis revealed functional differences between stable and highly variable proteins. Stable proteins were predominantly associated with intracellular, organelle-related, biosynthetic, and metabolic processes, whereas highly variable proteins were more frequently linked to membrane, vesicle-related, and signaling functions. Proteins that remain stable from the control to cancer state, as well as those that lose this stability during tumor development, may therefore be of particular interest. These results support protein variability as an additional analytical dimension alongside fold-change analysis for describing proteome instability and tumor heterogeneity. Inter-individual variation in protein abundance may reflect biological heterogeneity that is not captured by conventional comparisons of mean expression levels. Variability analysis complements conventional abundance-based approaches and provides an additional framework for characterizing tumor proteome heterogeneity.<\/jats:p>","DOI":"10.3390\/ijms27188012","type":"journal-article","created":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T09:24:02Z","timestamp":1788945842000},"page":"8012","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Protein Variability Patterns in Ovarian Serous Carcinoma"],"prefix":"10.3390","volume":"27","author":[{"given":"Arina I.","family":"Gordeeva","sequence":"first","affiliation":[{"name":"Institute of Biomedical Chemistry, 119121 Moscow, Russia"},{"name":"Sirius University of Science and Technology, 1 Olympic Ave., 354340 Sochi, Russia"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"conceptualization","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"software","vocabulary":"credit"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"investigation","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"},{"role":"writing-original-draft","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"visualization","vocabulary":"credit"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9230-1238","authenticated-orcid":false,"given":"Anna A.","family":"Kliuchnikova","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Chemistry, 119121 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"conceptualization","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"software","vocabulary":"credit"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"investigation","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"},{"role":"writing-original-draft","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"visualization","vocabulary":"credit"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2147-6679","authenticated-orcid":false,"given":"Anna S.","family":"Kozlova","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Chemistry, 119121 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"validation","vocabulary":"credit"},{"role":"investigation","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"}]},{"given":"Svetlana N.","family":"Tarbeeva","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Chemistry, 119121 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"methodology","vocabulary":"credit"},{"role":"software","vocabulary":"credit"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"},{"role":"writing-original-draft","vocabulary":"credit"},{"role":"visualization","vocabulary":"credit"}]},{"given":"Elena S.","family":"Zorina","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Chemistry, 119121 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"visualization","vocabulary":"credit"},{"role":"investigation","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2261-2038","authenticated-orcid":false,"given":"Elizaveta V.","family":"Sarygina","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Chemistry, 119121 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"visualization","vocabulary":"credit"},{"role":"investigation","vocabulary":"credit"},{"role":"resources","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"writing-original-draft","vocabulary":"credit"}]},{"given":"Elena A.","family":"Glagoleva","sequence":"additional","affiliation":[{"name":"Sechenov Centre for Motherhood and Childhood, Clinical Centre, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119435 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"supervision","vocabulary":"credit"}]},{"given":"Elena A.","family":"Ponomarenko","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Chemistry, 119121 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"project-administration","vocabulary":"credit"},{"role":"conceptualization","vocabulary":"credit"},{"role":"validation","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"}]},{"given":"Ekaterina V.","family":"Ilgisonis","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Chemistry, 119121 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"project-administration","vocabulary":"credit"},{"role":"conceptualization","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"validation","vocabulary":"credit"},{"role":"investigation","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"supervision","vocabulary":"credit"}]}],"member":"1968","published-online":{"date-parts":[[2026,9,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1080\/14789450.2017.1365604","article-title":"Mass Spectrometry-Based Proteomics in Cancer Research","volume":"14","author":"Cho","year":"2017","journal-title":"Expert Rev. Proteom."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1021\/acs.jproteome.5b00901","article-title":"Proteomic Biomarker Discovery in 1000 Human Plasma Samples with Mass Spectrometry","volume":"15","author":"Cominetti","year":"2016","journal-title":"J. Proteome Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"D543","DOI":"10.1093\/nar\/gkae1011","article-title":"The PRIDE Database at 20 Years: 2025 Update","volume":"53","author":"Bandla","year":"2025","journal-title":"Nucleic Acids Res."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"57","DOI":"10.4331\/wjbc.v12.i5.57","article-title":"Proteomics: Concepts and Applications in Human Medicine","volume":"12","author":"Alshekaili","year":"2021","journal-title":"World J. Biol. Chem."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Kliuchnikova, A., Gordeeva, A., Abdurakhimov, A., Materova, T., Tarbeeva, S., Sarygina, E., Kozlova, A., Kiseleva, O., Ponomarenko, E., and Ilgisonis, E. (2025). Ovarian Cancer: Multi-Omics Data Integration. Int. J. Mol. Sci., 26.","DOI":"10.3390\/ijms26135961"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Kliuchnikova, A.A., Novikova, S.E., Ilgisonis, E.V., Kiseleva, O.I., Poverennaya, E.V., Zgoda, V.G., Moshkovskii, S.A., Poroikov, V.V., Lisitsa, A.V., and Archakov, A.I. (2023). Blood Plasma Proteome: A Meta-Analysis of the Results of Protein Quantification in Human Blood by Targeted Mass Spectrometry. Int. J. Mol. Sci., 24.","DOI":"10.3390\/ijms24010769"},{"key":"ref_7","first-page":"40","article-title":"Mass-Spectrometric MRM Analysis of FDA-Approved Proteins in Plasma of Healthy Volunteers","volume":"15","author":"Novikova","year":"2021","journal-title":"Biochem. (Mosc.) Suppl. Ser. B Biomed. Chem."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"9735","DOI":"10.1038\/s41467-025-64718-y","article-title":"Protein-Level Batch-Effect Correction Enhances Robustness in MS-Based Proteomics","volume":"16","author":"Chen","year":"2025","journal-title":"Nat. Commun."},{"key":"ref_9","first-page":"1","article-title":"A Systematic Evaluation of Normalization Methods in Quantitative Label-Free Proteomics","volume":"19","author":"Suomi","year":"2018","journal-title":"Brief. Bioinform."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1186\/s40364-017-0110-y","article-title":"Assessing Biological and Technological Variability in Protein Levels Measured in Pre-Diagnostic Plasma Samples of Women with Breast Cancer","volume":"5","author":"Yeh","year":"2017","journal-title":"Biomark. Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1146\/annurev.anchem.1.031207.112942","article-title":"Mass Spectrometry-Based Biomarker Discovery: Toward a Global Proteome Index of Individuality","volume":"2","author":"Hawkridge","year":"2009","journal-title":"Annu. Rev. Anal. Chem."},{"key":"ref_12","first-page":"105","article-title":"Tumor Heterogeneity: Causes and Consequences","volume":"1805","author":"Marusyk","year":"2010","journal-title":"Biochim. Biophys. Acta"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"100979","DOI":"10.1016\/j.gendis.2023.04.018","article-title":"Pretreating and Normalizing Metabolomics Data for Statistical Analysis","volume":"11","author":"Sun","year":"2024","journal-title":"Genes Dis."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1162","DOI":"10.1128\/CDLI.10.6.1162.2003","article-title":"Use of Coefficient of Variation in Assessing Variability of Quantitative Assays","volume":"10","author":"Reed","year":"2003","journal-title":"Clin. Vaccine Immunol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.cels.2016.02.015","article-title":"Plasma Proteome Profiling to Assess Human Health and Disease","volume":"2","author":"Geyer","year":"2016","journal-title":"Cell Syst."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1038\/nmeth.2645","article-title":"Accounting for Technical Noise in Single-Cell RNA-Seq Experiments","volume":"10","author":"Brennecke","year":"2013","journal-title":"Nat. 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Proteome Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2128","DOI":"10.1021\/pr301146m","article-title":"Sources of Technical Variability in Quantitative LC-MS Proteomics: Human Brain Tissue Sample Analysis","volume":"12","author":"Piehowski","year":"2013","journal-title":"J. Proteome Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"865","DOI":"10.1074\/mcp.RA119.001362","article-title":"Microvesicle Proteomic Profiling of Uterine Liquid Biopsy for Ovarian Cancer Early Detection","volume":"18","author":"Barnabas","year":"2019","journal-title":"Mol. Cell. Proteom."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"4309","DOI":"10.1158\/1078-0432.CCR-18-3818","article-title":"Proteomics-Derived Biomarker Panel Improves Diagnostic Precision to Classify Endometrioid and High-Grade Serous Ovarian Carcinoma","volume":"25","author":"Rambau","year":"2019","journal-title":"Clin. Cancer Res."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Gant, K.L., Jambor, A.N., Li, Z., Rentchler, E.C., Weisman, P., Li, L., Patankar, M.S., and Campagnola, P.J. (2021). Evaluation of Collagen Alterations in Early Precursor Lesions of High Grade Serous Ovarian Cancer by Second Harmonic Generation Microscopy and Mass Spectrometry. Cancers, 13.","DOI":"10.3390\/cancers13112794"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"7802","DOI":"10.1038\/s41467-023-43282-3","article-title":"Proteomic Characterization of Epithelial Ovarian Cancer Delineates Molecular Signatures and Therapeutic Targets in Distinct Histological Subtypes","volume":"14","author":"Gong","year":"2023","journal-title":"Nat. Commun."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1186\/1477-7827-10-86","article-title":"NF \u03baB Expression Increases and CFTR and MUC1 Expression Decreases in the Endometrium of Infertile Patients with Hydrosalpinx: A Comparative Study","volume":"10","author":"Song","year":"2012","journal-title":"Reprod. Biol. Endocrinol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1510","DOI":"10.1016\/j.fertnstert.2009.07.1667","article-title":"Calcium-Binding Protein S100P Is Highly Expressed during the Implantation Window in Human Endometrium","volume":"94","author":"Tong","year":"2010","journal-title":"Fertil. Steril."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1210\/en.2005-1076","article-title":"Molecular Phenotyping of Human Endometrium Distinguishes Menstrual Cycle Phases and Underlying Biological Processes in Normo-Ovulatory Women","volume":"147","author":"Talbi","year":"2006","journal-title":"Endocrinology"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"R25","DOI":"10.1186\/gb-2010-11-3-r25","article-title":"A Scaling Normalization Method for Differential Expression Analysis of RNA-Seq Data","volume":"11","author":"Robinson","year":"2010","journal-title":"Genome Biol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"362","DOI":"10.1002\/mas.10008","article-title":"Practical Implications of Some Recent Studies in Electrospray Ionization Fundamentals","volume":"20","author":"Cech","year":"2001","journal-title":"Mass Spectrom. Rev."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"942","DOI":"10.1016\/S1044-0305(00)00163-X","article-title":"Mechanistic Investigation of Ionization Suppression in Electrospray Ionization","volume":"11","author":"King","year":"2000","journal-title":"J. Am. Soc. Mass Spectrom."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1843","DOI":"10.1038\/s41591-019-0673-2","article-title":"Undulating Changes in Human Plasma Proteome Profiles across the Lifespan","volume":"25","author":"Lehallier","year":"2019","journal-title":"Nat. Med."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"80589","DOI":"10.18632\/oncotarget.20384","article-title":"The Prevalence of Malignant and Borderline Ovarian Cancer in Pre- and Post-Menopausal Chinese Women","volume":"8","author":"Shen","year":"2017","journal-title":"Oncotarget"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"e00455","DOI":"10.1002\/adbi.202500455","article-title":"Proteomic Signatures over Age Reveal Significant Changes from Infancy till Late Adulthood","volume":"10","author":"Delemarre","year":"2026","journal-title":"Adv. Biol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"169842","DOI":"10.1016\/j.jmb.2026.169842","article-title":"The Cancer Noise Atlas (TCNA): A Webserver of Multiscale Transcriptional Noise in Cancer","volume":"438","author":"Shah","year":"2026","journal-title":"J. Mol. Biol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"121068","DOI":"10.1016\/j.cca.2026.121068","article-title":"Biological Variation of Serum Anti-M\u00fcllerian Hormone in Healthy Adult Men","volume":"590","author":"Ercan","year":"2026","journal-title":"Clin. Chim. Acta"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.cca.2018.02.009","article-title":"Pre-Treatment Red Blood Cell Distribution Width Provides Prognostic Information in Multiple Myeloma","volume":"481","author":"Zhou","year":"2018","journal-title":"Clin. Chim. Acta"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1038\/nature05316","article-title":"Variability and Memory of Protein Levels in Human Cells","volume":"444","author":"Sigal","year":"2006","journal-title":"Nature"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"108081","DOI":"10.1016\/j.isci.2023.108081","article-title":"Targeting Metabolic Fluxes Reverts Metastatic Transitions in Ovarian Cancer","volume":"26","author":"Arora","year":"2023","journal-title":"iScience"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"3607","DOI":"10.1021\/acs.jproteome.0c00338","article-title":"Addressing Cellular Heterogeneity in Cancer through Precision Proteomics","volume":"19","author":"Waas","year":"2020","journal-title":"J. Proteome Res."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"10482","DOI":"10.1038\/s41467-025-65477-6","article-title":"Integrated Spatial Proteomic Analysis of Breast Cancer Heterogeneity Unravels Cancer Cell Phenotypic Plasticity","volume":"16","author":"Mardamshina","year":"2025","journal-title":"Nat. Commun."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"2169","DOI":"10.1021\/acs.jproteome.4c00131","article-title":"Statistical Testing for Protein Equivalence Identifies Core Functional Modules Conserved across 360 Cancer Cell Lines and Presents a General Approach to Investigating Biological Systems","volume":"23","author":"Ergin","year":"2024","journal-title":"J. Proteome Res."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"R29","DOI":"10.1186\/gb-2014-15-2-r29","article-title":"Voom: Precision Weights Unlock Linear Model Analysis Tools for RNA-Seq Read Counts","volume":"15","author":"Law","year":"2014","journal-title":"Genome Biol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1186\/s13059-014-0550-8","article-title":"Moderated Estimation of Fold Change and Dispersion for RNA-Seq Data with DESeq2","volume":"15","author":"Love","year":"2014","journal-title":"Genome Biol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1047","DOI":"10.1074\/mcp.TIR119.001646","article-title":"DEqMS: A Method for Accurate Variance Estimation in Differential Protein Expression Analysis","volume":"19","author":"Zhu","year":"2020","journal-title":"Mol. Cell. Proteom."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1021\/pr050300l","article-title":"Normalization Approaches for Removing Systematic Biases Associated with Mass Spectrometry and Label-Free Proteomics","volume":"5","author":"Callister","year":"2006","journal-title":"J. Proteome Res."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"3114","DOI":"10.1021\/pr401264n","article-title":"Normalyzer: A Tool for Rapid Evaluation of Normalization Methods for Omics Data Sets","volume":"13","author":"Chawade","year":"2014","journal-title":"J. Proteome Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1021\/acs.jproteome.4c00552","article-title":"A Statistical Approach for Identifying the Best Combination of Normalization and Imputation Methods for Label-Free Proteomics Expression Data","volume":"24","author":"Sakthivel","year":"2025","journal-title":"J. Proteome Res."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"bbaf201","DOI":"10.1093\/bib\/bbaf201","article-title":"Systematic Evaluation of Normalization Approaches in Tandem Mass Tag and Label-Free Protein Quantification Data Using PRONE","volume":"26","author":"Arend","year":"2025","journal-title":"Brief. Bioinform."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.1373\/49.7.1041","article-title":"Ion Suppression in Mass Spectrometry","volume":"49","author":"Annesley","year":"2003","journal-title":"Clin. Chem."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2945","DOI":"10.1021\/acs.jproteome.6b00048","article-title":"Analysis of Intrinsic Peptide Detectability via Integrated Label-Free and SRM-Based Absolute Quantitative Proteomics","volume":"15","author":"Jarnuczak","year":"2016","journal-title":"J. Proteome Res."},{"key":"ref_51","first-page":"2075","article-title":"The Effects of Nonignorable Missing Data on Label-Free Mass Spectrometry Proteomics Experiments","volume":"12","author":"Gunawardena","year":"2018","journal-title":"Ann. Appl. Stat."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Andersen, L.-A.C., Palstr\u00f8m, N.B., Diederichsen, A., Lindholt, J.S., Rasmussen, L.M., and Beck, H.C. (2021). Determining Plasma Protein Variation Parameters as a Prerequisite for Biomarker Studies-A TMT-Based LC-MSMS Proteome Investigation. Proteomes, 9.","DOI":"10.3390\/proteomes9040047"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"2103","DOI":"10.1021\/pr200636x","article-title":"Statistical Considerations of Optimal Study Design for Human Plasma Proteomics and Biomarker Discovery","volume":"11","author":"Zhou","year":"2012","journal-title":"J. Proteome Res."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"W207","DOI":"10.1093\/nar\/gkad347","article-title":"g:Profiler-Interoperable Web Service for Functional Enrichment Analysis and Gene Identifier Mapping (2023 Update)","volume":"51","author":"Kolberg","year":"2023","journal-title":"Nucleic Acids Res."}],"container-title":["International Journal of Molecular Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1422-0067\/27\/18\/8012\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T04:22:05Z","timestamp":1789100525000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1422-0067\/27\/18\/8012"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,9]]},"references-count":54,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2026,9]]}},"alternative-id":["ijms27188012"],"URL":"https:\/\/doi.org\/10.3390\/ijms27188012","relation":{},"ISSN":["1422-0067"],"issn-type":[{"value":"1422-0067","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,9]]}}}