Literature DB >> 17483436

MicroRNA expression profiles for the NCI-60 cancer cell panel.

Paul E Blower1, Joseph S Verducci, Shili Lin, Jin Zhou, Ji-Hyun Chung, Zunyan Dai, Chang-Gong Liu, William Reinhold, Philip L Lorenzi, Eric P Kaldjian, Carlo M Croce, John N Weinstein, Wolfgang Sadee.   

Abstract

Advances in the understanding of cancer cell biology and response to drug treatment have benefited from new molecular technologies and methods for integrating information from multiple sources. The NCI-60, a panel of 60 diverse human cancer cell lines, has been used by the National Cancer Institute to screen >100,000 chemical compounds and natural product extracts for anticancer activity. The NCI-60 has also been profiled for mRNA and protein expression, mutational status, chromosomal aberrations, and DNA copy number, generating an unparalleled public resource for integrated chemogenomic studies. Recently, microRNAs have been shown to target particular sets of mRNAs, thereby preventing translation or accelerating mRNA turnover. To complement the existing NCI-60 data sets, we have measured expression levels of microRNAs in the NCI-60 and incorporated the resulting data into the CellMiner program package for integrative analysis. Cell line groupings based on microRNA expression were generally consistent with tissue type and with cell line clustering based on mRNA expression. However, mRNA expression seemed to be somewhat more informative for discriminating among tissue types than was microRNA expression. In addition, we found that there does not seem to be a significant correlation between microRNA expression patterns and those of known target transcripts. Comparison of microRNA expression patterns and compound potency patterns showed significant correlations, suggesting that microRNAs may play a role in chemoresistance. Combined with gene expression and other biological data using multivariate analysis, microRNA expression profiles may provide a critical link for understanding mechanisms involved in chemosensitivity and chemoresistance.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17483436     DOI: 10.1158/1535-7163.MCT-07-0009

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  107 in total

1.  Algorithm to identify frequent coupled modules from two-layered network series: application to study transcription and splicing coupling.

Authors:  Wenyuan Li; Chao Dai; Chun-Chi Liu; Xianghong Jasmine Zhou
Journal:  J Comput Biol       Date:  2012-06       Impact factor: 1.479

2.  mRNA and microRNA expression profiles of the NCI-60 integrated with drug activities.

Authors:  Hongfang Liu; Petula D'Andrade; Stephanie Fulmer-Smentek; Philip Lorenzi; Kurt W Kohn; John N Weinstein; Yves Pommier; William C Reinhold
Journal:  Mol Cancer Ther       Date:  2010-05-04       Impact factor: 6.261

Review 3.  Biological functions of microRNAs: a review.

Authors:  Yong Huang; Xing Jia Shen; Quan Zou; Sheng Peng Wang; Shun Ming Tang; Guo Zheng Zhang
Journal:  J Physiol Biochem       Date:  2010-10-28       Impact factor: 4.158

4.  Massively parallel high-order combinatorial genetics in human cells.

Authors:  Alan S L Wong; Gigi C G Choi; Allen A Cheng; Oliver Purcell; Timothy K Lu
Journal:  Nat Biotechnol       Date:  2015-08-17       Impact factor: 54.908

Review 5.  The role of microRNA in esophageal squamous cell carcinoma.

Authors:  Kazuto Harada; Yoshifumi Baba; Takatsugu Ishimoto; Hironobu Shigaki; Keisuke Kosumi; Naoya Yoshida; Masayuki Watanabe; Hideo Baba
Journal:  J Gastroenterol       Date:  2016-01-21       Impact factor: 7.527

Review 6.  The use of genomic information to optimize cancer chemotherapy.

Authors:  Federico Innocenti; Nancy J Cox; M Eileen Dolan
Journal:  Semin Oncol       Date:  2011-04       Impact factor: 4.929

7.  Transient resistance to DNA damaging agents is associated with expression of microRNAs-135b and -196b in human leukemia cell lines.

Authors:  Tsui-Ting Ho; Xiaolong He; Yin-Yuan Mo; William T Beck
Journal:  Int J Biochem Mol Biol       Date:  2016-08-05

Review 8.  MicroRNAs in cancer.

Authors:  Yong Sun Lee; Anindya Dutta
Journal:  Annu Rev Pathol       Date:  2009       Impact factor: 23.472

9.  mda-7/IL-24 Mediates Cancer Cell-Specific Death via Regulation of miR-221 and the Beclin-1 Axis.

Authors:  Anjan K Pradhan; Sarmistha Talukdar; Praveen Bhoopathi; Xue-Ning Shen; Luni Emdad; Swadesh K Das; Devanand Sarkar; Paul B Fisher
Journal:  Cancer Res       Date:  2016-12-09       Impact factor: 12.701

10.  Multifactorial regulation of E-cadherin expression: an integrative study.

Authors:  William C Reinhold; Mark A Reimers; Philip Lorenzi; Jennifer Ho; Uma T Shankavaram; Micah S Ziegler; Kimberly J Bussey; Satoshi Nishizuka; Ogechi Ikediobi; Yves G Pommier; John N Weinstein
Journal:  Mol Cancer Ther       Date:  2010-01-06       Impact factor: 6.261

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.