Literature DB >> 15517017

Using RNAi to catch Drosophila genes in a web of interactions: insights into cancer research.

Ramanuj Dasgupta1, Norbert Perrimon.   

Abstract

The completion of whole-genome sequencing of various model organisms and the recent explosion of new technologies in the field of Functional Genomics and Proteomics is poised to revolutionize the way scientists identify and characterize gene function. One of the most significant advances in recent years has been the application of RNA interference (RNAi) as a means of assaying gene function. In the post-genomic era, advances in the field of cancer biology will rely upon the rapid identification and characterization of genes that regulate cell growth, proliferation, and apoptosis. Significant efforts are being directed towards cancer therapy and devising efficient means of selectively delivering drugs to cancerous cells. In this review, we discuss the promise of integrating genome-wide RNAi screens with proteomic approaches and small-molecule chemical genetic screens, towards improving our ability to understand and treat cancer.

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Year:  2004        PMID: 15517017     DOI: 10.1038/sj.onc.1208028

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  9 in total

Review 1.  RNAi in embryonic stem cells.

Authors:  Li Ding; Frank Buchholz
Journal:  Stem Cell Rev       Date:  2006       Impact factor: 5.739

2.  Drosophila as a tool for personalized medicine: a primer.

Authors:  Yumi Kasai; Ross Cagan
Journal:  Per Med       Date:  2010-11       Impact factor: 2.512

3.  In vivo and in vitro knockdown of FREP2 gene expression in the snail Biomphalaria glabrata using RNA interference.

Authors:  Yiguo Jiang; Eric S Loker; Si-Ming Zhang
Journal:  Dev Comp Immunol       Date:  2006-01-10       Impact factor: 3.636

Review 4.  Genomic screening with RNAi: results and challenges.

Authors:  Stephanie Mohr; Chris Bakal; Norbert Perrimon
Journal:  Annu Rev Biochem       Date:  2010       Impact factor: 23.643

Review 5.  RNA interference: from gene silencing to gene-specific therapeutics.

Authors:  Ray K M Leung; Paul A Whittaker
Journal:  Pharmacol Ther       Date:  2005-08       Impact factor: 12.310

6.  Minimizing off-target effects by using diced siRNAs for RNA interference.

Authors:  Jason W Myers; Jen-Tsan Chi; Delquin Gong; Marci E Schaner; Patrick O Brown; James E Ferrell
Journal:  J RNAi Gene Silencing       Date:  2006-07-17

7.  CellProfiler: image analysis software for identifying and quantifying cell phenotypes.

Authors:  Anne E Carpenter; Thouis R Jones; Michael R Lamprecht; Colin Clarke; In Han Kang; Ola Friman; David A Guertin; Joo Han Chang; Robert A Lindquist; Jason Moffat; Polina Golland; David M Sabatini
Journal:  Genome Biol       Date:  2006-10-31       Impact factor: 13.583

8.  siRNA directed against c-Myc inhibits proliferation and downregulates human telomerase reverse transcriptase in human colon cancer Colo 320 cells.

Authors:  Huang Hao; Yu Nancai; Fu Lei; Wei Xiong; Su Wen; Huang Guofu; Wu Yanxia; Huang Hanju; Liu Qian; Xiao Hong
Journal:  J Exp Clin Cancer Res       Date:  2008-08-12

9.  E6 and E7 gene silencing results in decreased methylation of tumor suppressor genes and induces phenotype transformation of human cervical carcinoma cell lines.

Authors:  Liming Li; Cui Xu; Jia Long; Danbei Shen; Wuqing Zhou; Qiyan Zhou; Jia Yang; Mingjun Jiang
Journal:  Oncotarget       Date:  2015-09-15
  9 in total

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