Literature DB >> 23924514

ProteoMirExpress: inferring microRNA and protein-centered regulatory networks from high-throughput proteomic and mRNA expression data.

Jing Qin1, Mulin Jun Li, Panwen Wang, Nai Sum Wong, Maria P Wong, Zhengyuan Xia, George S W Tsao, Michael Q Zhang, Junwen Wang.   

Abstract

MicroRNAs (miRNAs) regulate gene expression through translational repression and RNA degradation. Recently developed high-throughput proteomic methods measure gene expression changes at protein level and therefore can reveal the direct effects of miRNAs' translational repression. Here, we present a web server, ProteoMirExpress, that integrates proteomic and mRNA expression data together to infer miRNA-centered regulatory networks. With both types of high-throughput data from the users, ProteoMirExpress is able to discover not only miRNA targets that have decreased mRNA, but also subgroups of targets with suppressed proteins whose mRNAs are not significantly changed or with decreased mRNA whose proteins are not significantly changed, which are usually ignored by most current methods. Furthermore, both direct and indirect targets of miRNAs can be detected. Therefore, ProteoMirExpress provides more comprehensive miRNA-centered regulatory networks. We used several published data to assess the quality of our inferred networks and prove the value of our server. ProteoMirExpress is available online, with free access to academic users.

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Year:  2013        PMID: 23924514      PMCID: PMC3820948          DOI: 10.1074/mcp.O112.019851

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  59 in total

1.  Expression clustering reveals detailed co-expression patterns of functionally related proteins during B cell differentiation: a proteomic study using a combination of one-dimensional gel electrophoresis, LC-MS/MS, and stable isotope labeling by amino acids in cell culture (SILAC).

Authors:  Edwin P Romijn; Chantal Christis; Marnix Wieffer; Joost W Gouw; Asier Fullaondo; Peter van der Sluijs; Ineke Braakman; Albert J R Heck
Journal:  Mol Cell Proteomics       Date:  2005-06-15       Impact factor: 5.911

2.  Cell-type-specific signatures of microRNAs on target mRNA expression.

Authors:  Pranidhi Sood; Azra Krek; Mihaela Zavolan; Giuseppe Macino; Nikolaus Rajewsky
Journal:  Proc Natl Acad Sci U S A       Date:  2006-02-13       Impact factor: 11.205

3.  Stable isotope labeling by amino acids in cell culture (SILAC).

Authors:  S Gruhler; Irina Kratchmarova
Journal:  Methods Mol Biol       Date:  2008

4.  The role of miR-506 in transformed 16HBE cells induced by anti-benzo[a]pyrene-trans-7,8-dihydrodiol-9,10-epoxide.

Authors:  Yao Zhao; Huanying Liu; Yuanqi Li; Jianjun Wu; Anne R Greenlee; Chengfeng Yang; Yiguo Jiang
Journal:  Toxicol Lett       Date:  2011-06-24       Impact factor: 4.372

5.  Mammalian microRNAs predominantly act to decrease target mRNA levels.

Authors:  Huili Guo; Nicholas T Ingolia; Jonathan S Weissman; David P Bartel
Journal:  Nature       Date:  2010-08-12       Impact factor: 49.962

6.  Preliminary quantitative profile of differential protein expression between rat L6 myoblasts and myotubes by stable isotope labeling with amino acids in cell culture.

Authors:  Ziyou Cui; Xiulan Chen; Bingwen Lu; Sung Kyu Park; Tao Xu; Zhensheng Xie; Peng Xue; Junjie Hou; Haiying Hang; John R Yates; Fuquan Yang
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

7.  starBase: a database for exploring microRNA-mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data.

Authors:  Jian-Hua Yang; Jun-Hao Li; Peng Shao; Hui Zhou; Yue-Qin Chen; Liang-Hu Qu
Journal:  Nucleic Acids Res       Date:  2010-10-30       Impact factor: 16.971

8.  The database of experimentally supported targets: a functional update of TarBase.

Authors:  Giorgos L Papadopoulos; Martin Reczko; Victor A Simossis; Praveen Sethupathy; Artemis G Hatzigeorgiou
Journal:  Nucleic Acids Res       Date:  2008-10-27       Impact factor: 16.971

Review 9.  Mass spectrometry-based label-free quantitative proteomics.

Authors:  Wenhong Zhu; Jeffrey W Smith; Chun-Ming Huang
Journal:  J Biomed Biotechnol       Date:  2009-11-10

10.  The microRNA.org resource: targets and expression.

Authors:  Doron Betel; Manda Wilson; Aaron Gabow; Debora S Marks; Chris Sander
Journal:  Nucleic Acids Res       Date:  2007-12-23       Impact factor: 16.971

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  1 in total

1.  SMILE: a novel procedure for subcellular module identification with localisation expansion.

Authors:  Lixin Cheng; Pengfei Liu; Kwong-Sak Leung
Journal:  IET Syst Biol       Date:  2018-04       Impact factor: 1.615

  1 in total

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