Literature DB >> 26405533

Emerging role of transcription factor-microRNA-target gene feed-forward loops in cancer.

Qian Wu1, Hua Qin1, Qiu Zhao1, Xing-Xing He1.   

Abstract

Transcriptional regulatory networks are biological network motifs that act in accordance with each other to play decisive roles in the pathological processes of cancer. One of the most common types, the feed-forward loop (FFL), has recently attracted interest. Three connected deregulated nodes, a transcription factor (TF), its downstream microRNA (miRNA) and their shared target gene can make up a class of cancer-involved FFLs as ≥1 of the 3 can act individually as a bona fide oncogene or a tumor suppressor. Numerous notable elements, such as p53, miR-17-92 cluster and cyclins, are proven members of their respective FFLs. Databases of interaction prediction, verification of experimental methods and confirmation of loops have been continually emerging during recent years. Development of TF-miRNA-target loops may help understand the mechanism of tumorgenesis at a higher level and explain the discovery and screening of the therapeutic target for drug exploitation.

Entities:  

Keywords:  cancer; feed-forward loop; microRNA; transcription factor

Year:  2015        PMID: 26405533      PMCID: PMC4535151          DOI: 10.3892/br.2015.477

Source DB:  PubMed          Journal:  Biomed Rep        ISSN: 2049-9434


  69 in total

1.  MET-dependent cancer invasion may be preprogrammed by early alterations of p53-regulated feedforward loop and triggered by stromal cell-derived HGF.

Authors:  Chang-Il Hwang; Jinhyang Choi; Zongxiang Zhou; Andrea Flesken-Nikitin; Alexander Tarakhovsky; Alexander Yu Nikitin
Journal:  Cell Cycle       Date:  2011-11-15       Impact factor: 4.534

2.  Network motifs: simple building blocks of complex networks.

Authors:  R Milo; S Shen-Orr; S Itzkovitz; N Kashtan; D Chklovskii; U Alon
Journal:  Science       Date:  2002-10-25       Impact factor: 47.728

3.  Scaling laws in the functional content of genomes.

Authors:  Erik van Nimwegen
Journal:  Trends Genet       Date:  2003-09       Impact factor: 11.639

4.  RAS is regulated by the let-7 microRNA family.

Authors:  Steven M Johnson; Helge Grosshans; Jaclyn Shingara; Mike Byrom; Rich Jarvis; Angie Cheng; Emmanuel Labourier; Kristy L Reinert; David Brown; Frank J Slack
Journal:  Cell       Date:  2005-03-11       Impact factor: 41.582

5.  c-Myc-regulated microRNAs modulate E2F1 expression.

Authors:  Kathryn A O'Donnell; Erik A Wentzel; Karen I Zeller; Chi V Dang; Joshua T Mendell
Journal:  Nature       Date:  2005-06-09       Impact factor: 49.962

6.  TRED: a transcriptional regulatory element database, new entries and other development.

Authors:  C Jiang; Z Xuan; F Zhao; M Q Zhang
Journal:  Nucleic Acids Res       Date:  2007-01       Impact factor: 16.971

7.  Interplay of microRNAs, transcription factors and target genes: linking dynamic expression changes to function.

Authors:  Petr V Nazarov; Susanne E Reinsbach; Arnaud Muller; Nathalie Nicot; Demetra Philippidou; Laurent Vallar; Stephanie Kreis
Journal:  Nucleic Acids Res       Date:  2013-01-17       Impact factor: 16.971

Review 8.  Current tools for the identification of miRNA genes and their targets.

Authors:  N D Mendes; A T Freitas; M-F Sagot
Journal:  Nucleic Acids Res       Date:  2009-03-18       Impact factor: 16.971

9.  A reciprocal repression between ZEB1 and members of the miR-200 family promotes EMT and invasion in cancer cells.

Authors:  Ulrike Burk; Jörg Schubert; Ulrich Wellner; Otto Schmalhofer; Elizabeth Vincan; Simone Spaderna; Thomas Brabletz
Journal:  EMBO Rep       Date:  2008-05-16       Impact factor: 8.807

Review 10.  One decade of development and evolution of microRNA target prediction algorithms.

Authors:  Paula H Reyes-Herrera; Elisa Ficarra
Journal:  Genomics Proteomics Bioinformatics       Date:  2012-10-23       Impact factor: 7.691

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  13 in total

1.  EnhFFL: A database of enhancer mediated feed-forward loops for human and mouse.

Authors:  Ran Kang; Zhengtang Tan; Mei Lang; Linqi Jin; Yin Zhang; Yiming Zhang; Tailin Guo; Zhiyun Guo
Journal:  Precis Clin Med       Date:  2021-04-14

2.  Wheat miRNA ancestors: evident by transcriptome analysis of A, B, and D genome donors.

Authors:  Burcu Alptekin; Hikmet Budak
Journal:  Funct Integr Genomics       Date:  2016-03-31       Impact factor: 3.410

3.  MicroRNA-711-Induced Downregulation of Angiopoietin-1 Mediates Neuronal Cell Death.

Authors:  Boris Sabirzhanov; Alan I Faden; Taryn Aubrecht; Rebecca Henry; Ethan Glaser; Bogdan A Stoica
Journal:  J Neurotrauma       Date:  2018-07-10       Impact factor: 5.269

4.  Identification of miRNA-mRNA Modules in Colorectal Cancer Using Rough Hypercuboid Based Supervised Clustering.

Authors:  Sushmita Paul; Petra Lakatos; Arndt Hartmann; Regine Schneider-Stock; Julio Vera
Journal:  Sci Rep       Date:  2017-02-21       Impact factor: 4.379

5.  Expression of Wnt-signaling pathway genes and their associations with miRNAs in colorectal cancer.

Authors:  Martha L Slattery; Lila E Mullany; Lori C Sakoda; Wade S Samowitz; Roger K Wolff; John R Stevens; Jennifer S Herrick
Journal:  Oncotarget       Date:  2017-12-23

6.  A causal mediation model of ischemia reperfusion injury in the retina.

Authors:  Maha Soliman; Kalina Andreeva; Olfa Nasraoui; Nigel G F Cooper
Journal:  PLoS One       Date:  2017-11-09       Impact factor: 3.240

7.  Transcription factor-microRNA associations and their impact on colorectal cancer survival.

Authors:  Lila E Mullany; Jennifer S Herrick; Roger K Wolff; John R Stevens; Wade Samowitz; Martha L Slattery
Journal:  Mol Carcinog       Date:  2017-08-03       Impact factor: 4.784

8.  Investigating the Role of MicroRNA and Transcription Factor Co-regulatory Networks in Multiple Sclerosis Pathogenesis.

Authors:  Nicoletta Nuzziello; Laura Vilardo; Paride Pelucchi; Arianna Consiglio; Sabino Liuni; Maria Trojano; Maria Liguori
Journal:  Int J Mol Sci       Date:  2018-11-20       Impact factor: 5.923

9.  A HIF-1α-driven feed-forward loop augments HIF signalling in Hep3B cells by upregulation of ARNT.

Authors:  M Mandl; M-K Lieberum; R Depping
Journal:  Cell Death Dis       Date:  2016-06-30       Impact factor: 8.469

10.  RUNX1 promote invasiveness in pancreatic ductal adenocarcinoma through regulating miR-93.

Authors:  Yin Cheng; Haiyan Yang; Yang Sun; Hongkai Zhang; Shuangni Yu; Zhaohui Lu; Jie Chen
Journal:  Oncotarget       Date:  2017-08-24
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