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HBFP: a new repository for human body fluid proteome

Body fluid proteome has been intensively studied as a primary source for disease biomarker discovery. Using advanced proteomics technologies, early research success has resulted in increasingly accumulated proteins detected in different body fluids, among which many are promising biomarkers. However...

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Autores principales: Shao, Dan, Huang, Lan, Wang, Yan, Cui, Xueteng, Li, Yufei, Wang, Yao, Ma, Qin, Du, Wei, Cui, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516408/
https://www.ncbi.nlm.nih.gov/pubmed/34642750
http://dx.doi.org/10.1093/database/baab065
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author Shao, Dan
Huang, Lan
Wang, Yan
Cui, Xueteng
Li, Yufei
Wang, Yao
Ma, Qin
Du, Wei
Cui, Juan
author_facet Shao, Dan
Huang, Lan
Wang, Yan
Cui, Xueteng
Li, Yufei
Wang, Yao
Ma, Qin
Du, Wei
Cui, Juan
author_sort Shao, Dan
collection PubMed
description Body fluid proteome has been intensively studied as a primary source for disease biomarker discovery. Using advanced proteomics technologies, early research success has resulted in increasingly accumulated proteins detected in different body fluids, among which many are promising biomarkers. However, despite a handful of small-scale and specific data resources, current research is clearly lacking effort compiling published body fluid proteins into a centralized and sustainable repository that can provide users with systematic analytic tools. In this study, we developed a new database of human body fluid proteome (HBFP) that focuses on experimentally validated proteome in 17 types of human body fluids. The current database archives 11 827 unique proteins reported by 164 scientific publications, with a maximal false discovery rate of 0.01 on both the peptide and protein levels since 2001, and enables users to query, analyze and download protein entries with respect to each body fluid. Three unique features of this new system include the following: (i) the protein annotation page includes detailed abundance information based on relative qualitative measures of peptides reported in the original references, (ii) a new score is calculated on each reported protein to indicate the discovery confidence and (iii) HBFP catalogs 7354 proteins with at least two non-nested uniquely mapping peptides of nine amino acids according to the Human Proteome Project Data Interpretation Guidelines, while the remaining 4473 proteins have more than two unique peptides without given sequence information. As an important resource for human protein secretome, we anticipate that this new HBFP database can be a powerful tool that facilitates research in clinical proteomics and biomarker discovery. Database URL: https://bmbl.bmi.osumc.edu/HBFP/
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spelling pubmed-85164082021-10-15 HBFP: a new repository for human body fluid proteome Shao, Dan Huang, Lan Wang, Yan Cui, Xueteng Li, Yufei Wang, Yao Ma, Qin Du, Wei Cui, Juan Database (Oxford) Original Article Body fluid proteome has been intensively studied as a primary source for disease biomarker discovery. Using advanced proteomics technologies, early research success has resulted in increasingly accumulated proteins detected in different body fluids, among which many are promising biomarkers. However, despite a handful of small-scale and specific data resources, current research is clearly lacking effort compiling published body fluid proteins into a centralized and sustainable repository that can provide users with systematic analytic tools. In this study, we developed a new database of human body fluid proteome (HBFP) that focuses on experimentally validated proteome in 17 types of human body fluids. The current database archives 11 827 unique proteins reported by 164 scientific publications, with a maximal false discovery rate of 0.01 on both the peptide and protein levels since 2001, and enables users to query, analyze and download protein entries with respect to each body fluid. Three unique features of this new system include the following: (i) the protein annotation page includes detailed abundance information based on relative qualitative measures of peptides reported in the original references, (ii) a new score is calculated on each reported protein to indicate the discovery confidence and (iii) HBFP catalogs 7354 proteins with at least two non-nested uniquely mapping peptides of nine amino acids according to the Human Proteome Project Data Interpretation Guidelines, while the remaining 4473 proteins have more than two unique peptides without given sequence information. As an important resource for human protein secretome, we anticipate that this new HBFP database can be a powerful tool that facilitates research in clinical proteomics and biomarker discovery. Database URL: https://bmbl.bmi.osumc.edu/HBFP/ Oxford University Press 2021-10-13 /pmc/articles/PMC8516408/ /pubmed/34642750 http://dx.doi.org/10.1093/database/baab065 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Shao, Dan
Huang, Lan
Wang, Yan
Cui, Xueteng
Li, Yufei
Wang, Yao
Ma, Qin
Du, Wei
Cui, Juan
HBFP: a new repository for human body fluid proteome
title HBFP: a new repository for human body fluid proteome
title_full HBFP: a new repository for human body fluid proteome
title_fullStr HBFP: a new repository for human body fluid proteome
title_full_unstemmed HBFP: a new repository for human body fluid proteome
title_short HBFP: a new repository for human body fluid proteome
title_sort hbfp: a new repository for human body fluid proteome
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516408/
https://www.ncbi.nlm.nih.gov/pubmed/34642750
http://dx.doi.org/10.1093/database/baab065
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