Analyzes In Silico Indicate the lncRNAs MIR31HG and LINC00939 as Possible Epigenetic Inhibitors of the Osteogenic Differentiation in PDLCs

Author:

Ferreira Rogério S.1,Assis Rahyza I. F.2ORCID,Racca Francesca3,Bontempi Ana Carolina1,da Silva Rodrigo A.4ORCID,Wiench Malgorzata5,Andia Denise C.1ORCID

Affiliation:

1. School of Dentistry, Health Science Institute, Paulista University, São Paulo 04026-002, SP, Brazil

2. Department of Clinical Dentistry, Federal University of Espírito Santo, Vitória 29043-910, ES, Brazil

3. Periodontology Department, The Ohio State University College of Dentistry, Columbus, OH 43210-1267, USA

4. Program in Environmental and Experimental Pathology, Paulista University, São Paulo 04026-002, SP, Brazil

5. School of Dentistry, Institute of Clinical Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B5 7EG, UK

Abstract

Chromatin conformation, DNA methylation pattern, transcriptional profile, and non-coding RNAs (ncRNAs) interactions constitute an epigenetic pattern that influences the cellular phenotypic commitment and impacts the clinical outcomes in regenerative therapies. Here, we investigated the epigenetic landscape of the SP7 transcriptor factor (SP7) and Distal-Less Homeobox 4 (DLX4) osteoblastic transcription factors (TFs), in human periodontal ligament mesenchymal cells (PDLCs) with low (l-PDLCs) and high (h-PDLCs) osteogenic potential. Chromatin accessibility (ATAC-seq), genome DNA methylation (Methylome), and RNA sequencing (RNA-seq) assays were performed in l- and h-PDLCs, cultured at 10 days in non-induced (DMEM) and osteogenic (OM) medium in vitro. Data were processed in HOMER, Genome Studio, and edgeR programs, and metadata was analyzed by online bioinformatics tools and in R and Python environments. ATAC-seq analyses showed the TFs genomic regions are more accessible in l-PDLCs than in h-PDLCs. In Methylome analyses, the TFs presented similar average methylation intensities (AMIs), without differently methylated probes (DMPs) between l- and h-PDLCs; in addition, there were no differences in the expression profiles of TFs signaling pathways. Interestingly, we identified the long non-coding RNAs (lncRNAs), MIR31HG and LINC00939, as upregulated in l-PDLCs, in both DMEM and OM. In the following analysis, the web-based prediction tool LncRRIsearch predicted RNA:RNA base-pairing interactions between SP7, DLX4, MIR31HG, and LINC00939 transcripts. The machine learning program TriplexFPP predicted DNA:RNA triplex-forming potential for the SP7 DNA site and for one of the LINC00939 transcripts (ENST00000502479). PCR data confirmed the upregulation of MIR31HG and LINC00939 transcripts in l-PDLCs (× h-PDLCs) in both DMEM and OM (p < 0.05); conversely, SP7 and DLX4 were downregulated, confirming those results observed in the RNA-Seq analysis. Together, these results indicate the lncRNAs MIR31HG and LINC00939 as possible epigenetic inhibitors of the osteogenic differentiation in PDLCs by (post)transcriptional and translational repression of the SP7 and DLX4 TFs.

Funder

São Paulo Research Foundation-FAPESP

The University of Birmingham, UK Collaborative Research Program

Paulista University

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

Reference63 articles.

1. Therapeutic potential of mesenchymal stem cells for cancer therapy;Hmadcha;Front. Bioeng. Biotechnol.,2020

2. Mesenchymal stem cells reside in virtually all post-natal organs and tissues;Meirelles;J. Cell. Sci.,2006

3. Treatment options: Biological basis of regenerative endodontic procedures;Hargreaves;Pediatr. Dent.,2013

4. Minimal criteria for defining multipotent mesenchymal stromal cells: The International Society for Cellular Therapy position statement;Dominici;Cytotherapy,2006

5. Adipose tissue derived stem cells secretome: Soluble factors and their roles in regenerative medicine;Salgado;Curr. Stem Cell Res. Ther.,2010

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3