Literature DB >> 28469803

Construction and analysis of the transcription factor-microRNA co-regulatory network response to Mycobacterium tuberculosis: a view from the blood.

Yan Lin1, Zipeng Duan1, Feng Xu1, Jiayuan Zhang1, Marina V Shulgina2, Fan Li1,3,4,5.   

Abstract

Mycobacterium tuberculosis (Mtb) infection has been regional outbreak, recently. The traditional focus on the patterns of "reductionism" which was associated with single molecular changes has been unable to meet the demand of early diagnosis and clinical application when current tuberculosis infection happened. In this study, we employed a systems biology approach to collect large microarray data sets including mRNAs and microRNAs (miRNAs) to identify the differentially expressed mRNAs and miRNAs in the whole blood of TB patients. The aim was to identify key genes associated with the immune response in the pathogenic process of tuberculosis by analyzing the co-regulatory network that was consisted of transcription factors and miRNAs as well as their target genes. The network along with their co-regulatory genes was analyzed utilizing Transcriptional Regulatory Element Database (TRED) and Database for Annotation, Visualization and Integrated Discovery (DAVID). We got 21 (19 up-regulated and 2 down-regulated) differentially expressed genes that were co-regulated by transcription factors and miRNAs. KEGG pathway enrichment analysis showed that the 21 differentially expressed genes were predominantly involved in Tuberculosis signaling pathway, which may play a major role in tuberculosis biological process. Quantitative real-time PCR was performed to verify the over expression of co-regulatory genes (FCGR1A and CEBPB). The genetic expression was correlated with clinicopathological characteristics in TB patients and inferences drawn. Our results suggest the TF-miRNA gene co-regulatory network may help us further understand the molecular mechanism of immune response to tuberculosis and provide us a new angle of future biomarker and therapeutic targets.

Entities:  

Keywords:  Transcription factor; biomarker; co-regulatory network; microRNA; tuberculosis

Year:  2017        PMID: 28469803      PMCID: PMC5411946     

Source DB:  PubMed          Journal:  Am J Transl Res        ISSN: 1943-8141            Impact factor:   4.060


  41 in total

Review 1.  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

2.  Expression of CD11c and EMR2 on neutrophils: potential diagnostic biomarkers for sepsis and systemic inflammation.

Authors:  S M Lewis; D F Treacher; J Edgeworth; G Mahalingam; C S Brown; T A Mare; M Stacey; R Beale; K A Brown
Journal:  Clin Exp Immunol       Date:  2015-09-22       Impact factor: 4.330

3.  STAT1-dependent IgG cell-surface expression in a human B cell line derived from a STAT1-deficient patient.

Authors:  Imen Najjar; Pierre-Antoine Deglesne; Pierre Olivier Schischmanoff; Emmanuelle E Fabre; Stéphanie Boisson-Dupuis; Falk Nimmerjahn; Georg W Bornkamm; Isabelle Dusanter-Fourt; Remi Fagard
Journal:  J Leukoc Biol       Date:  2010-03-03       Impact factor: 4.962

4.  Diagnostic value of blood gene expression signatures in active tuberculosis in Thais: a pilot study.

Authors:  N Satproedprai; N Wichukchinda; S Suphankong; W Inunchot; T Kuntima; S Kumpeerasart; S Wattanapokayakit; S Nedsuwan; H Yanai; K Higuchi; N Harada; S Mahasirimongkol
Journal:  Genes Immun       Date:  2015-03-12       Impact factor: 2.676

5.  Diversity of Human and Macaque Airway Immune Cells at Baseline and during Tuberculosis Infection.

Authors:  Richard F Silver; Amy J Myers; Jessica Jarvela; JoAnne Flynn; Tara Rutledge; Tracey Bonfield; Philana Ling Lin
Journal:  Am J Respir Cell Mol Biol       Date:  2016-12       Impact factor: 6.914

6.  The BCG World Atlas: a database of global BCG vaccination policies and practices.

Authors:  Alice Zwerling; Marcel A Behr; Aman Verma; Timothy F Brewer; Dick Menzies; Madhukar Pai
Journal:  PLoS Med       Date:  2011-03-22       Impact factor: 11.069

7.  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

Review 8.  Understanding immune protection against tuberculosis using RNA expression profiling.

Authors:  Ulrich von Both; Myrsini Kaforou; Michael Levin; Sandra M Newton
Journal:  Vaccine       Date:  2015-05-23       Impact factor: 3.641

9.  Transcriptional blood signatures distinguish pulmonary tuberculosis, pulmonary sarcoidosis, pneumonias and lung cancers.

Authors:  Chloe I Bloom; Christine M Graham; Matthew P R Berry; Fotini Rozakeas; Paul S Redford; Yuanyuan Wang; Zhaohui Xu; Katalin A Wilkinson; Robert J Wilkinson; Yvonne Kendrick; Gilles Devouassoux; Tristan Ferry; Makoto Miyara; Diane Bouvry; Dominique Valeyre; Valeyre Dominique; Guy Gorochov; Derek Blankenship; Mitra Saadatian; Phillip Vanhems; Huw Beynon; Rama Vancheeswaran; Melissa Wickremasinghe; Damien Chaussabel; Jacques Banchereau; Virginia Pascual; Ling-Pei Ho; Marc Lipman; Anne O'Garra
Journal:  PLoS One       Date:  2013-08-05       Impact factor: 3.240

10.  TB Summit 2014: prevention, diagnosis, and treatment of tuberculosis-a meeting report of a Euroscicon conference.

Authors:  Arundhati Maitra; Sanjib Bhakta
Journal:  Virulence       Date:  2014-07-08       Impact factor: 5.882

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  5 in total

1.  A developmental stage-specific network approach for studying dynamic co-regulation of transcription factors and microRNAs during craniofacial development.

Authors:  Fangfang Yan; Peilin Jia; Hiroki Yoshioka; Akiko Suzuki; Junichi Iwata; Zhongming Zhao
Journal:  Development       Date:  2020-12-24       Impact factor: 6.868

2.  Characteristic genes in THP‑1 derived macrophages infected with Mycobacterium tuberculosis H37Rv strain identified by integrating bioinformatics methods.

Authors:  Yu-Wei Zhang; Yan Lin; Hui-Yuan Yu; Ruo-Nan Tian; Fan Li
Journal:  Int J Mol Med       Date:  2019-07-30       Impact factor: 4.101

3.  RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding.

Authors:  Walter Santana-Garcia; Maria Rocha-Acevedo; Lucia Ramirez-Navarro; Yvon Mbouamboua; Denis Thieffry; Morgane Thomas-Chollier; Bruno Contreras-Moreira; Jacques van Helden; Alejandra Medina-Rivera
Journal:  Comput Struct Biotechnol J       Date:  2019-11-07       Impact factor: 7.271

4.  Target-Dependent Coordinated Biogenesis of Secondary MicroRNAs by miR-146a Balances Macrophage Activation Processes.

Authors:  Susanta Chatterjee; Ishita Mukherjee; Shreya Bhattacharjee; Mainak Bose; Saikat Chakrabarti; Suvendra N Bhattacharyya
Journal:  Mol Cell Biol       Date:  2022-03-21       Impact factor: 5.069

Review 5.  MicroRNAs as Molecular Switches in Macrophage Activation.

Authors:  Graziella Curtale; Marcello Rubino; Massimo Locati
Journal:  Front Immunol       Date:  2019-04-17       Impact factor: 7.561

  5 in total

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