Cardiovascular-related proteins identified in human plasma by the HUPO Plasma Proteome Project pilot phase - PubMed (original) (raw)
. 2005 Aug;5(13):3520-30.
doi: 10.1002/pmic.200401308.
Affiliations
- PMID: 16052623
- DOI: 10.1002/pmic.200401308
Cardiovascular-related proteins identified in human plasma by the HUPO Plasma Proteome Project pilot phase
Beniam T Berhane et al. Proteomics. 2005 Aug.
Abstract
Proteomic profiling of accessible bodily fluids, such as plasma, has the potential to accelerate biomarker/biosignature development for human diseases. The HUPO Plasma Proteome Project pilot phase examined human plasma with distinct proteomic approaches across multiple laboratories worldwide. Through this effort, we confidently identified 3020 proteins, each requiring a minimum of two high-scoring MS/MS spectra. A critical step subsequent to protein identification is functional annotation, in particular with regard to organ systems and disease. Performing exhaustive literature searches, we have manually annotated a subset of these 3020 proteins that have cardiovascular-related functions on the basis of an existing body of published information. These cardiovascular-related proteins can be organized into eight groups: markers of inflammation and/or cardiovascular disease, vascular and coagulation, signaling, growth and differentiation, cytoskeletal, transcription factors, channels/receptors and heart failure and remodeling. In addition, analysis of the peptide per protein ratio for MS/MS identification reveals group-specific trends. These findings serve as a resource to interrogate the functions of plasma proteins, and moreover, the list of cardiovascular-related proteins in plasma constitutes a baseline proteomic blueprint for the future development of biosignatures for diseases such as myocardial ischemia and atherosclerosis.
Similar articles
- A functional annotation of subproteomes in human plasma.
Ping P, Vondriska TM, Creighton CJ, Gandhi TK, Yang Z, Menon R, Kwon MS, Cho SY, Drwal G, Kellmann M, Peri S, Suresh S, Gronborg M, Molina H, Chaerkady R, Rekha B, Shet AS, Gerszten RE, Wu H, Raftery M, Wasinger V, Schulz-Knappe P, Hanash SM, Paik YK, Hancock WS, States DJ, Omenn GS, Pandey A. Ping P, et al. Proteomics. 2005 Aug;5(13):3506-19. doi: 10.1002/pmic.200500140. Proteomics. 2005. PMID: 16104058 - Overview of the HUPO Plasma Proteome Project: results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database.
Omenn GS, States DJ, Adamski M, Blackwell TW, Menon R, Hermjakob H, Apweiler R, Haab BB, Simpson RJ, Eddes JS, Kapp EA, Moritz RL, Chan DW, Rai AJ, Admon A, Aebersold R, Eng J, Hancock WS, Hefta SA, Meyer H, Paik YK, Yoo JS, Ping P, Pounds J, Adkins J, Qian X, Wang R, Wasinger V, Wu CY, Zhao X, Zeng R, Archakov A, Tsugita A, Beer I, Pandey A, Pisano M, Andrews P, Tammen H, Speicher DW, Hanash SM. Omenn GS, et al. Proteomics. 2005 Aug;5(13):3226-45. doi: 10.1002/pmic.200500358. Proteomics. 2005. PMID: 16104056 - Human Plasma PeptideAtlas.
Deutsch EW, Eng JK, Zhang H, King NL, Nesvizhskii AI, Lin B, Lee H, Yi EC, Ossola R, Aebersold R. Deutsch EW, et al. Proteomics. 2005 Aug;5(13):3497-500. doi: 10.1002/pmic.200500160. Proteomics. 2005. PMID: 16052627 - Quest for novel cardiovascular biomarkers by proteomic analysis.
Vivanco F, Martín-Ventura JL, Duran MC, Barderas MG, Blanco-Colio L, Dardé VM, Mas S, Meilhac O, Michel JB, Tuñón J, Egido J. Vivanco F, et al. J Proteome Res. 2005 Jul-Aug;4(4):1181-91. doi: 10.1021/pr0500197. J Proteome Res. 2005. PMID: 16083268 Review. - Affinity prefractionation for MS-based plasma proteomics.
Pernemalm M, Lewensohn R, Lehtiö J. Pernemalm M, et al. Proteomics. 2009 Mar;9(6):1420-7. doi: 10.1002/pmic.200800377. Proteomics. 2009. PMID: 19235168 Review.
Cited by
- The heart-brain axis: A proteomics study of meditation on the cardiovascular system of Tibetan Monks.
Xue T, Chiao B, Xu T, Li H, Shi K, Cheng Y, Shi Y, Guo X, Tong S, Guo M, Chew SH, Ebstein RP, Cui D. Xue T, et al. EBioMedicine. 2022 Jun;80:104026. doi: 10.1016/j.ebiom.2022.104026. Epub 2022 May 13. EBioMedicine. 2022. PMID: 35576643 Free PMC article. - Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data.
Chen G, Chen J, Liu H, Chen S, Zhang Y, Li P, Thierry-Mieg D, Thierry-Mieg J, Mattes W, Ning B, Shi T. Chen G, et al. Front Cell Dev Biol. 2019 Nov 21;7:299. doi: 10.3389/fcell.2019.00299. eCollection 2019. Front Cell Dev Biol. 2019. PMID: 31824949 Free PMC article. - Secretomics to Discover Regulators in Diseases.
Song P, Kwon Y, Joo JY, Kim DG, Yoon JH. Song P, et al. Int J Mol Sci. 2019 Aug 9;20(16):3893. doi: 10.3390/ijms20163893. Int J Mol Sci. 2019. PMID: 31405033 Free PMC article. Review. - Leveraging Multilayered "Omics" Data for Atopic Dermatitis: A Road Map to Precision Medicine.
Ghosh D, Bernstein JA, Khurana Hershey GK, Rothenberg ME, Mersha TB. Ghosh D, et al. Front Immunol. 2018 Dec 12;9:2727. doi: 10.3389/fimmu.2018.02727. eCollection 2018. Front Immunol. 2018. PMID: 30631320 Free PMC article. Review. - Identification of ᴅ-amino acid-containing peptides in human serum.
Ha S, Kim I, Takata T, Kinouchi T, Isoyama M, Suzuki M, Fujii N. Ha S, et al. PLoS One. 2017 Dec 18;12(12):e0189972. doi: 10.1371/journal.pone.0189972. eCollection 2017. PLoS One. 2017. PMID: 29253022 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources