Literature DB >> 34642750

HBFP: a new repository for human body fluid proteome.

Dan Shao1,2,3, Lan Huang2, Yan Wang2, Xueteng Cui3, Yufei Li3, Yao Wang2, Qin Ma4, Wei Du2, Juan Cui1.   

Abstract

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/.
© The Author(s) 2021. Published by Oxford University Press.

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Year:  2021        PMID: 34642750      PMCID: PMC8516408          DOI: 10.1093/database/baab065

Source DB:  PubMed          Journal:  Database (Oxford)        ISSN: 1758-0463            Impact factor:   3.451


  189 in total

1.  Quantitative analysis of the intra- and inter-subject variability of the whole salivary proteome.

Authors:  N Jehmlich; K H D Dinh; M Gesell-Salazar; E Hammer; L Steil; V M Dhople; C Schurmann; B Holtfreter; T Kocher; U Völker
Journal:  J Periodontal Res       Date:  2012-11-20       Impact factor: 4.419

2.  Protein alterations associated with pancreatic cancer and chronic pancreatitis found in human plasma using global quantitative proteomics profiling.

Authors:  Sheng Pan; Ru Chen; David A Crispin; Damon May; Tyler Stevens; Martin W McIntosh; Mary P Bronner; Argyrios Ziogas; Hoda Anton-Culver; Teresa A Brentnall
Journal:  J Proteome Res       Date:  2011-03-28       Impact factor: 4.466

3.  Proteomic characterization of specific minor proteins in the human milk casein fraction.

Authors:  Yalin Liao; Rudy Alvarado; Brett Phinney; Bo Lönnerdal
Journal:  J Proteome Res       Date:  2011-11-15       Impact factor: 4.466

4.  Proteomics of Human Milk: Definition of a Discovery Workflow for Clinical Research Studies.

Authors:  Loïc Dayon; Charlotte Macron; Sabine Lahrichi; Antonio Núñez Galindo; Michael Affolter
Journal:  J Proteome Res       Date:  2021-03-26       Impact factor: 4.466

5.  Identification and characterization of proteins isolated from microvesicles derived from human lung cancer pleural effusions.

Authors:  Jung Ok Park; Do-Young Choi; Dong-Sic Choi; Hee Joung Kim; Jeong Won Kang; Jae Hun Jung; Jeong Hwa Lee; Jayoung Kim; Michael R Freeman; Kye Young Lee; Yong Song Gho; Kwang Pyo Kim
Journal:  Proteomics       Date:  2013-07       Impact factor: 3.984

6.  Extensive in vivo human milk peptidomics reveals specific proteolysis yielding protective antimicrobial peptides.

Authors:  David C Dallas; Andres Guerrero; Nora Khaldi; Patricia A Castillo; William F Martin; Jennifer T Smilowitz; Charles L Bevins; Daniela Barile; J Bruce German; Carlito B Lebrilla
Journal:  J Proteome Res       Date:  2013-04-24       Impact factor: 4.466

7.  Quantitation of 47 human tear proteins using high resolution multiple reaction monitoring (HR-MRM) based-mass spectrometry.

Authors:  Louis Tong; Xi Yuan Zhou; Antti Jylha; Ulla Aapola; Dan Ning Liu; Siew Kwan Koh; Dechao Tian; Joanne Quah; Hannu Uusitalo; Roger W Beuerman; Lei Zhou
Journal:  J Proteomics       Date:  2014-12-19       Impact factor: 4.044

8.  neXtProt: a knowledge platform for human proteins.

Authors:  Lydie Lane; Ghislaine Argoud-Puy; Aurore Britan; Isabelle Cusin; Paula D Duek; Olivier Evalet; Alain Gateau; Pascale Gaudet; Anne Gleizes; Alexandre Masselot; Catherine Zwahlen; Amos Bairoch
Journal:  Nucleic Acids Res       Date:  2011-12-01       Impact factor: 16.971

9.  A comprehensive analysis and annotation of human normal urinary proteome.

Authors:  Mindi Zhao; Menglin Li; Yehong Yang; Zhengguang Guo; Ying Sun; Chen Shao; Mingxi Li; Wei Sun; Youhe Gao
Journal:  Sci Rep       Date:  2017-06-08       Impact factor: 4.379

10.  Proteomic analysis of human osteoarthritis synovial fluid.

Authors:  Lavanya Balakrishnan; Raja Sekhar Nirujogi; Sartaj Ahmad; Mitali Bhattacharjee; Srikanth S Manda; Santosh Renuse; Dhanashree S Kelkar; Yashwanth Subbannayya; Rajesh Raju; Renu Goel; Joji Kurian Thomas; Navjyot Kaur; Mukesh Dhillon; Shantal Gupta Tankala; Ramesh Jois; Vivek Vasdev; Yl Ramachandra; Nandini A Sahasrabuddhe; Ts Keshava Prasad; Sujatha Mohan; Harsha Gowda; Subramanian Shankar; Akhilesh Pandey
Journal:  Clin Proteomics       Date:  2014-02-17       Impact factor: 3.988

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  3 in total

1.  Artificial intelligence in clinical research of cancers.

Authors:  Dan Shao; Yinfei Dai; Nianfeng Li; Xuqing Cao; Wei Zhao; Li Cheng; Zhuqing Rong; Lan Huang; Yan Wang; Jing Zhao
Journal:  Brief Bioinform       Date:  2022-01-17       Impact factor: 11.622

2.  LiqBioer: a manually curated database of cancer biomarkers in body fluid.

Authors:  Yiding Geng; Lu Jin; Guangjue Tang; Zhangxiang Zhao; Yunyan Gu; Dan Yang
Journal:  Database (Oxford)       Date:  2022-09-02       Impact factor: 4.462

Review 3.  Chemical Barrier Proteins in Human Body Fluids.

Authors:  Gergő Kalló; Ajneesh Kumar; József Tőzsér; Éva Csősz
Journal:  Biomedicines       Date:  2022-06-22
  3 in total

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