TransmiR v2.0: an updated transcription factor-microRNA regulation database

Abstract MicroRNAs (miRNAs) are important post-transcriptional regulators of gene expression and play vital roles in various biological processes. It has been reported that aberrant regulation of miRNAs was associated with the development and progression of various diseases, but the underlying mechanisms are not fully deciphered. Here, we described our updated TransmiR v2.0 database for more comprehensive information about transcription factor (TF)-miRNA regulations. 3730 TF–miRNA regulations among 19 species from 1349 reports were manually curated by surveying >8000 publications, and more than 1.7 million tissue-specific TF–miRNA regulations were further incorporated based on ChIP-seq data. Besides, we constructed a ‘Predict’ module to query the predicted TF–miRNA regulations in human based on binding motifs of TFs. To facilitate the community, we provided a ‘Network’ module to visualize TF–miRNA regulations for each TF and miRNA, or for a specific disease. An ‘Enrichment analysis’ module was also included to predict TFs that are likely to regulate a miRNA list of interest. In conclusion, with improved data coverage and webserver functionalities, TransmiR v2.0 would be a useful resource for investigating the regulation of miRNAs. TransmiR v2.0 is freely accessible at http://www.cuilab.cn/transmir.

[1]  J. Coste,et al.  Diabetes, Associated Clinical Spectrum, Long-term Prognosis, and Genotype/Phenotype Correlations in 201 Adult Patients With Hepatocyte Nuclear Factor 1B (HNF1B) Molecular Defects , 2017, Diabetes Care.

[2]  Patrick J. Paddison,et al.  Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis. , 2016, Cell systems.

[3]  D. Bartel MicroRNAs Genomics, Biogenesis, Mechanism, and Function , 2004, Cell.

[4]  Ming Lu,et al.  TransmiR: a transcription factor–microRNA regulation database , 2009, Nucleic Acids Res..

[5]  F. Giorgino,et al.  In Vivo Insulin Signaling in the Myocardium of Streptozotocin-Diabetic Rats: Opposite Effects of Diabetes on Insulin Stimulation of Glycogen Synthase and c-Fos* , 1999 .

[6]  Hsien-Da Huang,et al.  miRTarBase update 2018: a resource for experimentally validated microRNA-target interactions , 2017, Nucleic Acids Res..

[7]  Athanasios Fevgas,et al.  DIANA-miRGen v3.0: accurate characterization of microRNA promoters and their regulators , 2015, Nucleic Acids Res..

[8]  Andrew M. Waterhouse,et al.  The FANTOM web resource: from mammalian transcriptional landscape to its dynamic regulation , 2009, Genome Biology.

[9]  C. Lindskog,et al.  A pathology atlas of the human cancer transcriptome , 2017, Science.

[10]  Li Zhang,et al.  Interaction between peroxisome proliferator-activated receptor gamma polymorphism and obesity on type 2 diabetes in a Chinese Han population , 2017, Diabetology & Metabolic Syndrome.

[11]  Yang Li,et al.  HMDD v2.0: a database for experimentally supported human microRNA and disease associations , 2013, Nucleic Acids Res..

[12]  Stefano Piccolo,et al.  MicroRNA control of signal transduction , 2010, Nature Reviews Molecular Cell Biology.

[13]  Cory Y. McLean,et al.  GREAT improves functional interpretation of cis-regulatory regions , 2010, Nature Biotechnology.

[14]  Núria Queralt-Rosinach,et al.  DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants , 2016, Nucleic Acids Res..

[15]  Ming-Hua Zheng,et al.  Hepatocellular carcinoma associated microRNA expression signature: integrated bioinformatics analysis, experimental validation and clinical significance , 2015, Oncotarget.

[16]  M. Latronico,et al.  Emerging role of microRNAs in cardiovascular biology. , 2007, Circulation research.

[17]  Jay W. Shin,et al.  An integrated expression atlas of miRNAs and their promoters in human and mouse , 2017, Nature Biotechnology.

[18]  Alexander E. Kel,et al.  GTRD: a database of transcription factor binding sites identified by ChIP-seq experiments , 2016, Nucleic Acids Res..

[19]  Fei Ma,et al.  Gene regulatory networks by transcription factors and microRNAs in breast cancer , 2015, Bioinform..

[20]  Angela Re,et al.  CircuitsDB: a database of mixed microRNA/transcription factor feed-forward regulatory circuits in human and mouse , 2010, BMC Bioinformatics.

[21]  Yuan Zhou,et al.  TAM 2.0: tool for MicroRNA set analysis , 2018, Nucleic Acids Res..

[22]  Athanasios Fevgas,et al.  DIANA-TarBase v7.0: indexing more than half a million experimentally supported miRNA:mRNA interactions , 2014, Nucleic Acids Res..

[23]  Xiang Li,et al.  Identification of active transcription factor and miRNA regulatory pathways in Alzheimer's disease , 2013, Bioinform..

[24]  V. Kim,et al.  The nuclear RNase III Drosha initiates microRNA processing , 2003, Nature.

[25]  Richard W. Hanson,et al.  Identification of Conserved Regulatory Elements in Mammalian Promoter Regions: A Case Study Using the PCK1 Promoter , 2009, Genom. Proteom. Bioinform..

[26]  Dorret I Boomsma,et al.  MicroRNAs as biomarkers for psychiatric disorders with a focus on autism spectrum disorder: Current progress in genetic association studies, expression profiling, and translational research , 2017, Autism research : official journal of the International Society for Autism Research.

[27]  K. Ramalingam,et al.  Role of microRNA 21 in diabetes and associated/related diseases. , 2016, Gene.

[28]  David Haussler,et al.  The UCSC Genome Browser database: 2018 update , 2017, Nucleic Acids Res..

[29]  Pierre Fontanillas,et al.  Rare variants in PPARG with decreased activity in adipocyte differentiation are associated with increased risk of type 2 diabetes , 2014, Proceedings of the National Academy of Sciences.

[30]  J. Pessin,et al.  Regulation of c-fos expression in adipose and muscle tissue of diabetic rats. , 1994, Endocrinology.

[31]  Lili Xiong,et al.  Genome-wide survey of tissue-specific microRNA and transcription factor regulatory networks in 12 tissues , 2014, Scientific Reports.

[32]  F. Han,et al.  Transforming Growth Factor &bgr; is a Poor Prognostic Factor and Inhibits the Favorable Prognostic Value of CD8+ CTL in Human Hepatocellular Carcinoma , 2017, Journal of immunotherapy.

[33]  Yanni Sun,et al.  Cap-seq reveals complicated miRNA transcriptional mechanisms in C. elegans and mouse , 2017, Quantitative Biology.

[34]  F. Slack,et al.  Oncomirs — microRNAs with a role in cancer , 2006, Nature Reviews Cancer.

[35]  Gaston H. Gonnet,et al.  The OMA orthology database in 2018: retrieving evolutionary relationships among all domains of life through richer web and programmatic interfaces , 2017, Nucleic Acids Res..

[36]  An-Yuan Guo,et al.  Transcription factor and microRNA co-regulatory loops: important regulatory motifs in biological processes and diseases , 2015, Briefings Bioinform..

[37]  Ana Kozomara,et al.  miRBase: annotating high confidence microRNAs using deep sequencing data , 2013, Nucleic Acids Res..

[38]  Hui Zhou,et al.  ChIPBase v2.0: decoding transcriptional regulatory networks of non-coding RNAs and protein-coding genes from ChIP-seq data , 2016, Nucleic Acids Res..

[39]  Aaron R. Quinlan,et al.  BIOINFORMATICS APPLICATIONS NOTE , 2022 .

[40]  F. Slack,et al.  MicroRNA therapeutics: towards a new era for the management of cancer and other diseases , 2017, Nature Reviews Drug Discovery.

[41]  Cesare Furlanello,et al.  A promoter-level mammalian expression atlas , 2015 .

[42]  Ziv Bar-Joseph,et al.  Genome wide predictions of miRNA regulation by transcription factors , 2016, Bioinform..

[43]  Edgar Wingender,et al.  mirTrans: a resource of transcriptional regulation on microRNAs for human cell lines , 2017, Nucleic Acids Res..

[44]  A. Tijsen,et al.  Circulating microRNAs: novel biomarkers and extracellular communicators in cardiovascular disease? , 2012, Circulation research.

[45]  B. Kang,et al.  Peroxisome proliferator-activated receptor-γ enhances human pulmonary artery smooth muscle cell apoptosis through microRNA-21 and programmed cell death 4. , 2017, American journal of physiology. Lung cellular and molecular physiology.

[46]  Pei Ma,et al.  Long non-coding RNA TUG1 is up-regulated in hepatocellular carcinoma and promotes cell growth and apoptosis by epigenetically silencing of KLF2 , 2015, Molecular Cancer.

[47]  Thomas Gudermann,et al.  Depletion of the transcriptional coactivators megakaryoblastic leukaemia 1 and 2 abolishes hepatocellular carcinoma xenograft growth by inducing oncogene-induced senescence , 2013, EMBO molecular medicine.

[48]  T Grant Belgard,et al.  Genome-wide, integrative analysis implicates microRNA dysregulation in autism spectrum disorder , 2016, Nature Neuroscience.