Literature DB >> 16533708

SAGE and related approaches for cancer target identification.

Dale Porter1, Jun Yao, Kornelia Polyak.   

Abstract

Comprehensive genetic, epigenetic and transcriptional analyses of normal and cancerous tissues and cells have yielded many candidate diagnostic, predictive, and prognostic markers and therapeutic targets in human cancer. This article provides a brief overview of SAGE and SAGE-like techniques, highlighting their utility and advantages relative to other genomic technologies for the discovery of drug targets. We also summarize the results of recent comprehensive profiling studies that utilize these methods to provide insights into mechanisms of tumor initiation and progression, to improve our molecular understanding of the tumor microenvironment and to reveal new targets and avenues for therapeutic interventions.

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Year:  2006        PMID: 16533708     DOI: 10.1016/S1359-6446(05)03694-9

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  6 in total

1.  Identifying novel genes in C. elegans using SAGE tags.

Authors:  Matthew J Nesbitt; Donald G Moerman; Nansheng Chen
Journal:  BMC Mol Biol       Date:  2010-12-10       Impact factor: 2.946

Review 2.  Natural and engineered nicking endonucleases--from cleavage mechanism to engineering of strand-specificity.

Authors:  Siu-Hong Chan; Barry L Stoddard; Shuang-Yong Xu
Journal:  Nucleic Acids Res       Date:  2010-08-30       Impact factor: 16.971

3.  Genome-wide approaches for identification of nuclear receptor target genes.

Authors:  Luz E Tavera-Mendoza; Sylvie Mader; John H White
Journal:  Nucl Recept Signal       Date:  2006-07-07

4.  High-resolution analysis of the 5'-end transcriptome using a next generation DNA sequencer.

Authors:  Shin-ichi Hashimoto; Wei Qu; Budrul Ahsan; Katsumi Ogoshi; Atsushi Sasaki; Yoichiro Nakatani; Yongjun Lee; Masako Ogawa; Akio Ametani; Yutaka Suzuki; Sumio Sugano; Clarence C Lee; Robert C Nutter; Shinichi Morishita; Kouji Matsushima
Journal:  PLoS One       Date:  2009-01-01       Impact factor: 3.240

5.  Clustering-based approaches to SAGE data mining.

Authors:  Haiying Wang; Huiru Zheng; Francisco Azuaje
Journal:  BioData Min       Date:  2008-07-17       Impact factor: 2.522

Review 6.  Engineering altered protein-DNA recognition specificity.

Authors:  Adam J Bogdanove; Andrew Bohm; Jeffrey C Miller; Richard D Morgan; Barry L Stoddard
Journal:  Nucleic Acids Res       Date:  2018-06-01       Impact factor: 16.971

  6 in total

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