Literature DB >> 23852026

Bioinformatics for spermatogenesis: annotation of male reproduction based on proteomics.

Tao Zhou1, Zuo-Min Zhou, Xue-Jiang Guo.   

Abstract

Proteomics strategies have been widely used in the field of male reproduction, both in basic and clinical research. Bioinformatics methods are indispensable in proteomics-based studies and are used for data presentation, database construction and functional annotation. In the present review, we focus on the functional annotation of gene lists obtained through qualitative or quantitative methods, summarizing the common and male reproduction specialized proteomics databases. We introduce several integrated tools used to find the hidden biological significance from the data obtained. We further describe in detail the information on male reproduction derived from Gene Ontology analyses, pathway analyses and biomedical analyses. We provide an overview of bioinformatics annotations in spermatogenesis, from gene function to biological function and from biological function to clinical application. On the basis of recently published proteomics studies and associated data, we show that bioinformatics methods help us to discover drug targets for sperm motility and to scan for cancer-testis genes. In addition, we summarize the online resources relevant to male reproduction research for the exploration of the regulation of spermatogenesis.

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Year:  2013        PMID: 23852026      PMCID: PMC3881641          DOI: 10.1038/aja.2013.67

Source DB:  PubMed          Journal:  Asian J Androl        ISSN: 1008-682X            Impact factor:   3.285


  79 in total

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Journal:  Comput Biol Med       Date:  2011-10-29       Impact factor: 4.589

Review 2.  Proteomics of spermatogenesis: from protein lists to understanding the regulation of male fertility and infertility.

Authors:  Xiao-Yan Huang; Jia-Hao Sha
Journal:  Asian J Androl       Date:  2010-11-15       Impact factor: 3.285

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4.  The World-2DPAGE Constellation to promote and publish gel-based proteomics data through the ExPASy server.

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Journal:  J Proteomics       Date:  2008-03-05       Impact factor: 4.044

5.  Analysis of mass spectrometry data in proteomics.

Authors:  Rune Matthiesen; Ole N Jensen
Journal:  Methods Mol Biol       Date:  2008

6.  Construction of a proteome profile and functional analysis of the proteins involved in the initiation of mouse spermatogenesis.

Authors:  Xiao-Yan Huang; Xue-Jiang Guo; Jian Shen; Yu-Feng Wang; Lin Chen; Jin Xie; Ning-Ling Wang; Fu-Qiang Wang; Chun Zhao; Ran Huo; Min Lin; Xinru Wang; Zuo-Min Zhou; Jia-Hao Sha
Journal:  J Proteome Res       Date:  2008-06-27       Impact factor: 4.466

Review 7.  The cancer testis antigen PRAME as a biomarker for solid tumor cancer management.

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8.  UniProt Knowledgebase: a hub of integrated protein data.

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Journal:  Database (Oxford)       Date:  2011-03-29       Impact factor: 3.451

9.  The Mouse Genome Database (MGD): comprehensive resource for genetics and genomics of the laboratory mouse.

Authors:  Janan T Eppig; Judith A Blake; Carol J Bult; James A Kadin; Joel E Richardson
Journal:  Nucleic Acids Res       Date:  2011-11-10       Impact factor: 16.971

10.  MicroRNA biogenesis is required for mouse primordial germ cell development and spermatogenesis.

Authors:  Katsuhiko Hayashi; Susana M Chuva de Sousa Lopes; Masahiro Kaneda; Fuchou Tang; Petra Hajkova; Kaiqin Lao; Donal O'Carroll; Partha P Das; Alexander Tarakhovsky; Eric A Miska; M Azim Surani
Journal:  PLoS One       Date:  2008-03-05       Impact factor: 3.240

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  9 in total

1.  The Glial Cell-Derived Neurotrophic Factor (GDNF)-responsive Phosphoprotein Landscape Identifies Raptor Phosphorylation Required for Spermatogonial Progenitor Cell Proliferation.

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Journal:  Mol Cell Proteomics       Date:  2017-04-13       Impact factor: 5.911

Review 2.  Protein Bioinformatics Databases and Resources.

Authors:  Chuming Chen; Hongzhan Huang; Cathy H Wu
Journal:  Methods Mol Biol       Date:  2017

3.  Quantitative phosphoproteomics analysis reveals a key role of insulin growth factor 1 receptor (IGF1R) tyrosine kinase in human sperm capacitation.

Authors:  Jing Wang; Lin Qi; Shaoping Huang; Tao Zhou; Yueshuai Guo; Gaigai Wang; Xuejiang Guo; Zuomin Zhou; Jiahao Sha
Journal:  Mol Cell Proteomics       Date:  2015-02-18       Impact factor: 5.911

4.  Impact of precise modulation of reactive oxygen species levels on spermatozoa proteins in infertile men.

Authors:  Ahmet Ayaz; Ashok Agarwal; Rakesh Sharma; Mohamed Arafa; Haitham Elbardisi; Zhihong Cui
Journal:  Clin Proteomics       Date:  2015-02-09       Impact factor: 3.988

Review 5.  A Critical Review of Proteomic Studies in Gestational Diabetes Mellitus.

Authors:  Tao Zhou; Lu Huang; Min Wang; Daozhen Chen; Zhong Chen; Shi-Wen Jiang
Journal:  J Diabetes Res       Date:  2020-07-14       Impact factor: 4.011

6.  Bioinformatics Analysis of Transcriptomic Data Reveals Refined Functional Networks for the Self-Renewal of Mouse Spermatogonial Stem Cells.

Authors:  Min Wang; Wene Zhao; Fuqiang Wang; Xiufeng Ling; Daozhen Chen; Tao Zhou; Ying Wang
Journal:  Stem Cells Int       Date:  2018-07-08       Impact factor: 5.443

Review 7.  Proteomic Analyses of Human Sperm Cells: Understanding the Role of Proteins and Molecular Pathways Affecting Male Reproductive Health.

Authors:  Ashok Agarwal; Manesh Kumar Panner Selvam; Saradha Baskaran
Journal:  Int J Mol Sci       Date:  2020-02-27       Impact factor: 5.923

8.  Quantitative phosphoproteomics reveals GSK3A substrate network is involved in the cryodamage of sperm motility.

Authors:  Jing Wang; Jing Wang; Min Wang; Renyun Hong; Shanshan Tang; Yuanhua Xu; Xia Zhao; Tao Zhou; Zibin Wang; Shaoping Huang
Journal:  Biosci Rep       Date:  2021-10-29       Impact factor: 3.840

9.  Update on the proteomics of male infertility: A systematic review.

Authors:  Manesh Kumar Panner Selvam; Ashok Agarwal
Journal:  Arab J Urol       Date:  2017-12-29
  9 in total

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