Literature DB >> 26243828

Identification of cancer-related genes and motifs in the human gene regulatory network.

Matthew B Carson1, Jianlei Gu2, Guangjun Yu2, Hui Lu3.   

Abstract

The authors investigated the regulatory network motifs and corresponding motif positions of cancer-related genes. First, they mapped disease-related genes to a transcription factor regulatory network. Next, they calculated statistically significant motifs and subsequently identified positions within these motifs that were enriched in cancer-related genes. Potential mechanisms of these motifs and positions are discussed. These results could be used to identify other disease- and cancer-related genes and could also suggest mechanisms for how these genes relate to co-occurring diseases.

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Year:  2015        PMID： 26243828      PMCID： PMC8687282          DOI： 10.1049/iet-syb.2014.0058

Source DB:  PubMed          Journal:  IET Syst Biol        ISSN： 1751-8849            Impact factor:   1.615


  27 in total

1.  A complex regulatory network of transcription factors critical for ocular development and disease.

Authors:  Moulinath Acharya; Lijia Huang; Valerie C Fleisch; W Ted Allison; Michael A Walter
Journal:  Hum Mol Genet       Date:  2011-01-31       Impact factor: 6.150

2.  Multiclass classification of sarcomas using pathway based feature selection method.

Authors:  Jian-lei Gu; Yao Lu; Cong Liu; Hui Lu
Journal:  J Theor Biol       Date:  2014-07-08       Impact factor: 2.691

3.  Analysis of combinatorial regulation: scaling of partnerships between regulators with the number of governed targets.

Authors:  Nitin Bhardwaj; Matthew B Carson; Alexej Abyzov; Koon-Kiu Yan; Hui Lu; Mark B Gerstein
Journal:  PLoS Comput Biol       Date:  2010-05-27       Impact factor: 4.475

4.  NAPS: a residue-level nucleic acid-binding prediction server.

Authors:  Matthew B Carson; Robert Langlois; Hui Lu
Journal:  Nucleic Acids Res       Date:  2010-05-16       Impact factor: 16.971

Review 5.  Effects of comorbidity on screening and early diagnosis of cancer in elderly people.

Authors:  Catherine Terret; Elisabeth Castel-Kremer; Gilles Albrand; Jean Pierre Droz
Journal:  Lancet Oncol       Date:  2009-01       Impact factor: 41.316

6.  Cytoscape 2.8: new features for data integration and network visualization.

Authors:  Michael E Smoot; Keiichiro Ono; Johannes Ruscheinski; Peng-Liang Wang; Trey Ideker
Journal:  Bioinformatics       Date:  2010-12-12       Impact factor: 6.937

7.  NCBI Reference Sequences (RefSeq): current status, new features and genome annotation policy.

Authors:  Kim D Pruitt; Tatiana Tatusova; Garth R Brown; Donna R Maglott
Journal:  Nucleic Acids Res       Date:  2011-11-24       Impact factor: 16.971

8.  Reorganizing the protein space at the Universal Protein Resource (UniProt).

Authors: 
Journal:  Nucleic Acids Res       Date:  2011-11-18       Impact factor: 16.971

9.  TRED: a Transcriptional Regulatory Element Database and a platform for in silico gene regulation studies.

Authors:  Fang Zhao; Zhenyu Xuan; Lihua Liu; Michael Q Zhang
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

10.  Systematic identification of transcriptional and post-transcriptional regulations in human respiratory epithelial cells during influenza A virus infection.

Authors:  Zhi-Ping Liu; Hulin Wu; Jian Zhu; Hongyu Miao
Journal:  BMC Bioinformatics       Date:  2014-10-04       Impact factor: 3.169
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  2 in total

1.  Classification of Benign and Malignant Thyroid Nodules Using a Combined Clinical Information and Gene Expression Signatures.

Authors:  Bing Zheng; Jun Liu; Jianlei Gu; Jing Du; Lin Wang; Shengli Gu; Juan Cheng; Jun Yang; Hui Lu
Journal:  PLoS One       Date:  2016-10-24       Impact factor: 3.240

2.  Fold change based approach for identification of significant network markers in breast, lung and prostate cancer.

Authors:  Richa K Makhijani; Shital A Raut; Hemant J Purohit
Journal:  IET Syst Biol       Date:  2018-10       Impact factor: 1.615
  2 in total

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