Literature DB >> 12892712

Identification of potential anticancer drug targets through the selection of growth-inhibitory genetic suppressor elements.

Thomas Primiano1, Mirza Baig, Anil Maliyekkel, Bey Dih Chang, Stacey Fellars, Justin Sadhu, Sergey A Axenovich, Tatyana A Holzmayer, Igor B Roninson.   

Abstract

To identify human genes required for tumor cell growth, transcriptome-scale selection was used to isolate genetic suppressor elements (GSEs) inhibiting breast carcinoma cell growth. Growth-inhibitory GSEs (cDNA fragments that counteract their cognate gene) were selected from 57 genes, including known positive regulators of cell growth or carcinogenesis as well as genes that have not been previously implicated in cell proliferation. Many GSE-cognate genes encode transcription factors (such as STAT and AP-1) and signal transduction proteins. Monoclonal antibodies against a cell surface protein identified by GSE selection, neural cell adhesion molecule L1CAM, strongly inhibited the growth of several tumor cell lines but not of untransformed cells. Hence, selection for growth-inhibitory GSEs allows one to find potential targets for new anticancer drugs.

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Year:  2003        PMID: 12892712     DOI: 10.1016/s1535-6108(03)00169-7

Source DB:  PubMed          Journal:  Cancer Cell        ISSN: 1535-6108            Impact factor:   31.743


  22 in total

1.  Impact of the N-Terminal Domain of STAT3 in STAT3-Dependent Transcriptional Activity.

Authors:  Tiancen Hu; Jennifer E Yeh; Luca Pinello; Jaison Jacob; Srinivas Chakravarthy; Guo-Cheng Yuan; Rajiv Chopra; David A Frank
Journal:  Mol Cell Biol       Date:  2015-07-13       Impact factor: 4.272

2.  Tumor-specific silencing of COPZ2 gene encoding coatomer protein complex subunit ζ 2 renders tumor cells dependent on its paralogous gene COPZ1.

Authors:  Michael Shtutman; Mirza Baig; Elina Levina; Gregory Hurteau; Chang-Uk Lim; Eugenia Broude; Mikhail Nikiforov; Timothy T Harkins; C Steven Carmack; Ye Ding; Felix Wieland; Ralph Buttyan; Igor B Roninson
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-11       Impact factor: 11.205

3.  Phenotype-based identification of host genes required for replication of African swine fever virus.

Authors:  Annie C Y Chang; Laszlo Zsak; Yanan Feng; Ronen Mosseri; Quan Lu; Paul Kowalski; Aniko Zsak; Thomas G Burrage; John G Neilan; Gerald F Kutish; Zhiqiang Lu; Will Laegreid; Daniel L Rock; Stanley N Cohen
Journal:  J Virol       Date:  2006-09       Impact factor: 5.103

4.  Function-based gene identification using enzymatically generated normalized shRNA library and massive parallel sequencing.

Authors:  Michael Shtutman; Anil Maliyekkel; Yu Shao; C Steven Carmack; Mirza Baig; Natalie Warholic; Kelly Cole; Eugenia V Broude; Timothy T Harkins; Ye Ding; Igor B Roninson
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-05       Impact factor: 11.205

5.  Comparison of pancreas juice proteins from cancer versus pancreatitis using quantitative proteomic analysis.

Authors:  Ru Chen; Sheng Pan; Kelly Cooke; Kara White Moyes; Mary P Bronner; David R Goodlett; Ruedi Aebersold; Teresa A Brentnall
Journal:  Pancreas       Date:  2007-01       Impact factor: 3.327

6.  Nuclear translocation and signalling of L1-CAM in human carcinoma cells requires ADAM10 and presenilin/gamma-secretase activity.

Authors:  Svenja Riedle; Helena Kiefel; Daniela Gast; Sandra Bondong; Silke Wolterink; Paul Gutwein; Peter Altevogt
Journal:  Biochem J       Date:  2009-05-27       Impact factor: 3.857

7.  STAT3 suppresses transcription of proapoptotic genes in cancer cells with the involvement of its N-terminal domain.

Authors:  Olga A Timofeeva; Nadya I Tarasova; Xueping Zhang; Sergey Chasovskikh; Amrita K Cheema; Honghe Wang; Milton L Brown; Anatoly Dritschilo
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-03       Impact factor: 11.205

Review 8.  Deciphering the molecular basis of breast cancer metastasis with mouse models.

Authors:  Ann E Vernon; Suzanne J Bakewell; Lewis A Chodosh
Journal:  Rev Endocr Metab Disord       Date:  2007-09       Impact factor: 6.514

9.  Selection-subtraction approach (SSA): a universal genetic screening technique that enables negative selection.

Authors:  Aatur D Singhi; Roman V Kondratov; Nickolay Neznanov; Mikhail V Chernov; Andrei V Gudkov
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-08       Impact factor: 11.205

10.  Identification of cellular genes affecting the infectivity of foot-and-mouth disease virus.

Authors:  Maria E Piccone; Yanan Feng; Annie C Y Chang; Ronen Mosseri; Quan Lu; Gerald F Kutish; Zhiqiang Lu; Thomas G Burrage; Christina Gooch; Daniel L Rock; Stanley N Cohen
Journal:  J Virol       Date:  2009-04-15       Impact factor: 5.103

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