Literature DB >> 21512034

Identification of miR-193b targets in breast cancer cells and systems biological analysis of their functional impact.

Suvi-Katri Leivonen1, Anne Rokka, Päivi Ostling, Pekka Kohonen, Garry L Corthals, Olli Kallioniemi, Merja Perälä.   

Abstract

Identification of protein targets for microRNAs (miRNAs) is a significant challenge due to the complexity of miRNA-mediated regulation. We have previously demonstrated that miR-193b targets estrogen receptor-α (ERα) and inhibits estrogen-induced growth of breast cancer cells. Here, we applied a high-throughput strategy using quantitative iTRAQ (isobaric tag for relative and absolute quantitation) reagents to identify other target proteins regulated by miR-193b in breast cancer cells. iTRAQ analysis of pre-miR-193b transfected MCF-7 cells resulted in identification of 743 unique proteins, of which 39 were down-regulated and 44 up-regulated as compared with negative control transfected cells. Computationally predicted targets of miR-193b were highly enriched (sevenfold) among the proteins whose level of expression decreased after miR-193b transfection. Only a minority of these (13%) showed similar effect at the mRNA level illustrating the importance of post-transcriptional regulation. The most significantly repressed proteins were selected for validation experiments. These data confirmed 14-3-3ζ (YWHAZ), serine hydroxyl transferase (SHMT2), and aldo-keto reductase family 1, member C2 (AKR1C2) as direct, previously uncharacterized, targets of miR-193b. Functional RNAi assays demonstrated that specific combinations of knockdowns of these target genes by siRNAs inhibited growth of MCF-7 cells, mimicking the effects of the miR-193b overexpression. Interestingly, the data imply that besides targeting ERα, the miR-193b effects include suppression of the local production of estrogens and other steroid hormones mediated by the AKR1C2 gene, thus provoking two separate molecular mechanisms inhibiting steroid-dependent growth of breast cancer cells. In conclusion, we present here a proteomic screen to identify targets of miR-193b, and a systems biological approach to mimic its effects at the level of cellular phenotypes. This led to the identification of multiple genes whose combinatorial knock-down likely mediates the strong anti-cancer effects observed for miR-193b in breast cancer cells.

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Year:  2011        PMID: 21512034      PMCID: PMC3134067          DOI: 10.1074/mcp.M110.005322

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  24 in total

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2.  Addressing accuracy and precision issues in iTRAQ quantitation.

Authors:  Natasha A Karp; Wolfgang Huber; Pawel G Sadowski; Philip D Charles; Svenja V Hester; Kathryn S Lilley
Journal:  Mol Cell Proteomics       Date:  2010-04-10       Impact factor: 5.911

3.  Combinatorial microRNA target predictions.

Authors:  Azra Krek; Dominic Grün; Matthew N Poy; Rachel Wolf; Lauren Rosenberg; Eric J Epstein; Philip MacMenamin; Isabelle da Piedade; Kristin C Gunsalus; Markus Stoffel; Nikolaus Rajewsky
Journal:  Nat Genet       Date:  2005-04-03       Impact factor: 38.330

4.  The Paragon Algorithm, a next generation search engine that uses sequence temperature values and feature probabilities to identify peptides from tandem mass spectra.

Authors:  Ignat V Shilov; Sean L Seymour; Alpesh A Patel; Alex Loboda; Wilfred H Tang; Sean P Keating; Christie L Hunter; Lydia M Nuwaysir; Daniel A Schaeffer
Journal:  Mol Cell Proteomics       Date:  2007-05-27       Impact factor: 5.911

5.  Target mRNAs are repressed as efficiently by microRNA-binding sites in the 5' UTR as in the 3' UTR.

Authors:  J Robin Lytle; Therese A Yario; Joan A Steitz
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-29       Impact factor: 11.205

6.  MicroRNA targeting specificity in mammals: determinants beyond seed pairing.

Authors:  Andrew Grimson; Kyle Kai-How Farh; Wendy K Johnston; Philip Garrett-Engele; Lee P Lim; David P Bartel
Journal:  Mol Cell       Date:  2007-07-06       Impact factor: 17.970

7.  MicroRNA-193b represses cell proliferation and regulates cyclin D1 in melanoma.

Authors:  Jiamin Chen; Harriet E Feilotter; Geneviève C Paré; Xiao Zhang; Joshua G W Pemberton; Cherif Garady; Dulcie Lai; Xiaolong Yang; Victor A Tron
Journal:  Am J Pathol       Date:  2010-03-19       Impact factor: 4.307

8.  The RNA binding protein HuR differentially regulates unique subsets of mRNAs in estrogen receptor negative and estrogen receptor positive breast cancer.

Authors:  Robert Calaluce; Matthew M Gubin; J Wade Davis; Joseph D Magee; Jing Chen; Yuki Kuwano; Myriam Gorospe; Ulus Atasoy
Journal:  BMC Cancer       Date:  2010-04-06       Impact factor: 4.430

9.  Mammalian microRNAs predominantly act to decrease target mRNA levels.

Authors:  Huili Guo; Nicholas T Ingolia; Jonathan S Weissman; David P Bartel
Journal:  Nature       Date:  2010-08-12       Impact factor: 49.962

Review 10.  Comparing protein abundance and mRNA expression levels on a genomic scale.

Authors:  Dov Greenbaum; Christopher Colangelo; Kenneth Williams; Mark Gerstein
Journal:  Genome Biol       Date:  2003-08-29       Impact factor: 13.583

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  38 in total

Review 1.  Regulation of breast cancer metastasis signaling by miRNAs.

Authors:  Belinda J Petri; Carolyn M Klinge
Journal:  Cancer Metastasis Rev       Date:  2020-09       Impact factor: 9.264

Review 2.  14-3-3 proteins as potential therapeutic targets.

Authors:  Jing Zhao; Cheryl L Meyerkord; Yuhong Du; Fadlo R Khuri; Haian Fu
Journal:  Semin Cell Dev Biol       Date:  2011-10-01       Impact factor: 7.727

Review 3.  MicroRNAs: master regulators of drug resistance, stemness, and metastasis.

Authors:  Umar Raza; Jitao David Zhang; Ozgür Sahin
Journal:  J Mol Med (Berl)       Date:  2014-02-09       Impact factor: 4.599

4.  MicroRNA-205 targets tight junction-related proteins during urothelial cellular differentiation.

Authors:  Pei-Jung Katy Chung; Lang-Ming Chi; Chien-Lun Chen; Chih-Lung Liang; Chung-Tzu Lin; Yu-Xun Chang; Chun-Hsien Chen; Yu-Sun Chang
Journal:  Mol Cell Proteomics       Date:  2014-06-09       Impact factor: 5.911

Review 5.  Interplay of mitochondrial metabolism and microRNAs.

Authors:  Julian Geiger; Louise T Dalgaard
Journal:  Cell Mol Life Sci       Date:  2016-08-25       Impact factor: 9.261

6.  Tumor suppressive microRNA-193b promotes breast cancer progression via targeting DNAJC13 and RAB22A.

Authors:  Zhaoying Yang; Miao He; Keren Wang; Guang Sun; Lu Tang; Zheli Xu
Journal:  Int J Clin Exp Pathol       Date:  2014-10-15

Review 7.  Reprogramming of serine, glycine and one-carbon metabolism in cancer.

Authors:  Albert M Li; Jiangbin Ye
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2020-05-19       Impact factor: 5.187

Review 8.  Mitochondrial miRNAs in diabetes: just the tip of the iceberg.

Authors:  Rohini Baradan; John M Hollander; Samarjit Das
Journal:  Can J Physiol Pharmacol       Date:  2017-05-03       Impact factor: 2.273

9.  Signature microRNAs in human cornea limbal epithelium.

Authors:  Yufei Teng; Hoi Kin Wong; Vishal Jhanji; Jian Huan Chen; Alvin Lerrmann Young; Mingzhi Zhang; Kwong Wai Choy; Jodhbir Singh Mehta; Chi Pui Pang; Gary Hin-Fai Yam
Journal:  Funct Integr Genomics       Date:  2014-12-07       Impact factor: 3.410

Review 10.  Proteomics for understanding miRNA biology.

Authors:  Tai-Chung Huang; Sneha M Pinto; Akhilesh Pandey
Journal:  Proteomics       Date:  2012-12-27       Impact factor: 3.984

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