Literature DB >> 20505335

TargetScreen: an unbiased approach to identify functionally important microRNA targets.

Konstantinos J Mavrakis1, Hans-Guido Wendel.   

Abstract

We recently identified miR-19 as the critical activity for leukemogenesis within the oncogenic 17~92 cluster of microRNAs. ( 1) This finding prompted us to test an unbiased method for pinpointing those miR-19 targets may be key to its oncogenic action. Specifically, we used a large-scale short hairpin RNA screen to identify those miR-19 target genes, whose knockdown could reproduce miR-19's effects on lymphocyte transformation. In this way, we found that miR-19 produces a coordinate clampdown on multiple negative regulators of PI3K-related survival signals. These findings have implications for the therapy of miR-19 expressing tumors. They also validate a new strategy for the unbiased identification of functionally important microRNA target genes. Using the example of miR-19 in leukemia, we will discuss some possibilities and limitations of this new approach.

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Year:  2010        PMID: 20505335     DOI: 10.4161/cc.9.11.11807

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   4.534


  9 in total

1.  Mouse models of cancer as biological filters for complex genomic data.

Authors:  Elisa Oricchio; Andrew L Wolfe; Jonathan H Schatz; Konstantinos J Mavrakis; Hans-Guido Wendel
Journal:  Dis Model Mech       Date:  2010-09-27       Impact factor: 5.758

2.  Characterization of a set of tumor suppressor microRNAs in T cell acute lymphoblastic leukemia.

Authors:  Viraj R Sanghvi; Konstantinos J Mavrakis; Joni Van der Meulen; Michael Boice; Andrew L Wolfe; Mark Carty; Prathibha Mohan; Pieter Rondou; Nicholas D Socci; Yves Benoit; Tom Taghon; Pieter Van Vlierberghe; Christina S Leslie; Frank Speleman; Hans-Guido Wendel
Journal:  Sci Signal       Date:  2014-11-18       Impact factor: 8.192

3.  p53 regulates nuclear GSK-3 levels through miR-34-mediated Axin2 suppression in colorectal cancer cells.

Authors:  Nam Hee Kim; Yong Hoon Cha; Shi Eun Kang; Yoonmi Lee; Inhan Lee; So Young Cha; Joo Kyung Ryu; Jung Min Na; Changbum Park; Ho-Geun Yoon; Gyeong-Ju Park; Jong In Yook; Hyun Sil Kim
Journal:  Cell Cycle       Date:  2013-04-25       Impact factor: 4.534

4.  Cooperative control of tumor suppressor genes by a network of oncogenic microRNAs.

Authors:  Konstantinos J Mavrakis; Christina S Leslie; Hans-Guido Wendel
Journal:  Cell Cycle       Date:  2011-09-01       Impact factor: 4.534

Review 5.  Profiling of regulatory microRNA transcriptomes in various biological processes: a review.

Authors:  A A Shah; E Meese; N Blin
Journal:  J Appl Genet       Date:  2010       Impact factor: 2.653

Review 6.  microRNA-1/133a and microRNA-206/133b clusters: dysregulation and functional roles in human cancers.

Authors:  Nijiro Nohata; Toyoyuki Hanazawa; Hideki Enokida; Naohiko Seki
Journal:  Oncotarget       Date:  2012-01

7.  Molecular damage in cancer: an argument for mTOR-driven aging.

Authors:  Mikhail V Blagosklonny
Journal:  Aging (Albany NY)       Date:  2011-12       Impact factor: 5.682

Review 8.  Recent progress in targeting cancer.

Authors:  Zoya N Demidenko; James A McCubrey
Journal:  Aging (Albany NY)       Date:  2011-12       Impact factor: 5.682

9.  The intragenic mRNA-microRNA regulatory network during telogen-anagen hair follicle transition in the cashmere goat.

Authors:  Zhihong Liu; Feng Yang; Meng Zhao; Lina Ma; Haijun Li; Yuchun Xie; Rile Nai; Tianyu Che; Rui Su; Yanjun Zhang; Ruijun Wang; Zhiying Wang; Jinquan Li
Journal:  Sci Rep       Date:  2018-09-21       Impact factor: 4.379

  9 in total

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