Literature DB >> 33241976

Comprehensive analysis of neuronal guidance cue expression regulation during monocyte-to-macrophage differentiation reveals post-transcriptional regulation of semaphorin7A by the RNA-binding protein quaking.

Huayu Zhang1, Jurriën Prins1, Dianne Vreeken1, Barend W Florijn1, Ruben G de Bruin1, Oscar Rj van Hengel1, Mieke F van Essen1, Jacques Mgj Duijs1, Hilde Van Esch2, Eric P van der Veer1, Anton Jan van Zonneveld1, Janine M van Gils1.   

Abstract

In response to inflammatory cytokines and chemokines, monocytes differentiate into macrophages. Comprehensive analysis of gene expression regulation of neuronal guidance cue (NGC) ligands and receptors in the monocyte-to-macrophage differentiation process is not available yet. We performed transcriptome profiling in both human primary PBMCs/PBMC-derived macrophages and THP-1 cells/THP-1-macrophages using microarray or RNA sequencing methods. Pathway analysis showed that the axonal guidance pathway is significantly regulated upon monocyte differentiation. We confirmed NGC ligands and receptors which were consistently regulated, including SEMA4D, SEMA7A, NRP1, NRP2, PLXNA1 and PLXNA3. The involvement of RNA-binding protein quaking (QKI) in the regulation of NGC expression was investigated using monocytes and macrophages from a QKI haplo-insufficient patient and her healthy sibling. This revealed a positive correlation of SEMA7A expression with QKI expression. In silico analysis of 3'UTRs of NGCs proposed the competitive binding of QKI to proximal microRNA targeting sites as the mechanism of QKI-dependent regulation of SEMA7A. RNA immunoprecipitation confirmed an interaction of QKI with the 3'UTR of SEMA7A. Loss of SEMA7A resulted in monocyte differentiation towards a more anti-inflammatory macrophage. Taken together, the axonal guidance pathway is regulated during monocyte-to-macrophage differentiation, and the regulation is in line with the necessary functional adaption for the specialised role of macrophages.

Entities:  

Keywords:  Monocyte; macrophage; microRNA; quaking; semaphorin

Mesh:

Substances:

Year:  2020        PMID: 33241976      PMCID: PMC7882812          DOI: 10.1177/1753425920966645

Source DB:  PubMed          Journal:  Innate Immun        ISSN: 1753-4259            Impact factor:   2.680


  37 in total

1.  Endothelial expression of guidance cues in vessel wall homeostasis dysregulation under proatherosclerotic conditions.

Authors:  Janine M van Gils; Bhama Ramkhelawon; Luciana Fernandes; Merran C Stewart; Liang Guo; Tara Seibert; Gustavo B Menezes; Denise C Cara; Camille Chow; T Bernard Kinane; Edward A Fisher; Mercedes Balcells; Jacqueline Alvarez-Leite; Adam Lacy-Hulbert; Kathryn J Moore
Journal:  Arterioscler Thromb Vasc Biol       Date:  2013-02-21       Impact factor: 8.311

2.  Visualizing Genomic Data Using Gviz and Bioconductor.

Authors:  Florian Hahne; Robert Ivanek
Journal:  Methods Mol Biol       Date:  2016

3.  Semaphorin3E-induced inflammation contributes to insulin resistance in dietary obesity.

Authors:  Ippei Shimizu; Yohko Yoshida; Junji Moriya; Aika Nojima; Akiyoshi Uemura; Yoshio Kobayashi; Tohru Minamino
Journal:  Cell Metab       Date:  2013-10-01       Impact factor: 27.287

4.  Sema7A is a potent monocyte stimulator.

Authors:  S Holmes; A M Downs; A Fosberry; P D Hayes; D Michalovich; P Murdoch; K Moores; J Fox; K Deen; G Pettman; T Wattam; C Lewis
Journal:  Scand J Immunol       Date:  2002-09       Impact factor: 3.487

Review 5.  Multifaceted Role of Neuropilins in the Immune System: Potential Targets for Immunotherapy.

Authors:  Sohini Roy; Arup K Bag; Rakesh K Singh; James E Talmadge; Surinder K Batra; Kaustubh Datta
Journal:  Front Immunol       Date:  2017-10-10       Impact factor: 7.561

6.  RBPvsMIR: A Computational Pipeline to Identify Competing miRNAs and RNA-Binding Protein Pairs Regulating the Shared Transcripts.

Authors:  Xing Zhao; Danze Chen; Yujie Cai; Fan Zhang; Jianzhen Xu
Journal:  Genes (Basel)       Date:  2018-08-22       Impact factor: 4.096

7.  miRBase: from microRNA sequences to function.

Authors:  Ana Kozomara; Maria Birgaoanu; Sam Griffiths-Jones
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

8.  GAGE: generally applicable gene set enrichment for pathway analysis.

Authors:  Weijun Luo; Michael S Friedman; Kerby Shedden; Kurt D Hankenson; Peter J Woolf
Journal:  BMC Bioinformatics       Date:  2009-05-27       Impact factor: 3.169

9.  An integrated encyclopedia of DNA elements in the human genome.

Authors: 
Journal:  Nature       Date:  2012-09-06       Impact factor: 49.962

10.  TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.

Authors:  Daehwan Kim; Geo Pertea; Cole Trapnell; Harold Pimentel; Ryan Kelley; Steven L Salzberg
Journal:  Genome Biol       Date:  2013-04-25       Impact factor: 13.583

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.