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Multi-Omics Analysis for Transcriptional Regulation of Immune-Related Targets Using Epigenetic Data: A New Research Direction

BACKGROUND: Currently, a comprehensive method for exploration of transcriptional regulation has not been well established. We explored a novel pipeline to analyze transcriptional regulation using co-analysis of RNA sequencing (RNA-seq), assay for transposase-accessible chromatin using sequencing (AT...

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Autores principales: Huang, Chenshen, Zhang, Na, Xiong, Hao, Wang, Ning, Chen, Zhizhong, Ni, Zhizhan, Liu, Xiaohong, Lin, Boxu, Ge, Bujun, Du, Bing, Huang, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761734/
https://www.ncbi.nlm.nih.gov/pubmed/35046932
http://dx.doi.org/10.3389/fimmu.2021.741634
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author Huang, Chenshen
Zhang, Na
Xiong, Hao
Wang, Ning
Chen, Zhizhong
Ni, Zhizhan
Liu, Xiaohong
Lin, Boxu
Ge, Bujun
Du, Bing
Huang, Qi
author_facet Huang, Chenshen
Zhang, Na
Xiong, Hao
Wang, Ning
Chen, Zhizhong
Ni, Zhizhan
Liu, Xiaohong
Lin, Boxu
Ge, Bujun
Du, Bing
Huang, Qi
author_sort Huang, Chenshen
collection PubMed
description BACKGROUND: Currently, a comprehensive method for exploration of transcriptional regulation has not been well established. We explored a novel pipeline to analyze transcriptional regulation using co-analysis of RNA sequencing (RNA-seq), assay for transposase-accessible chromatin using sequencing (ATAC-seq), and chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq). METHODS: The G protein-coupled receptors (GPCRs) possibly associated with macrophages were further filtered using a reduced-Cox regression model. ATAC-seq profiles were used to map the chromatin accessibility of the GPRC5B promoter region. Pearson analysis was performed to identify the transcription factor (TF) whose expression was correlated with open chromatin regions of GPRC5B promoter. ChIP-seq profiles were obtained to confirm the physical binding of GATA4 and its predicted binding regions. For verification, quantitative polymerase chain reaction (qPCR) and multidimensional database validations were performed. RESULTS: The reduced-Cox regression model revealed the prognostic value of GPRC5B. A novel pipeline for TF exploration was proposed. With our novel pipeline, we first identified chr16:19884686-19885185 as a reproducible open chromatin region in the GPRC5B promoter. Thereafter, we confirmed the correlation between GATA4 expression and the accessibility of this region, confirmed its physical binding, and proved in vitro how its overexpression could regulate GPRC5B. GPRC5B was significantly downregulated in colon adenocarcinoma (COAD) as seen in 28 patient samples. The correlation between GPRC5B and macrophages in COAD was validated using multiple databases. CONCLUSION: GPRC5B, correlated with macrophages, was a key GPCR affecting COAD prognosis. Further, with our novel pipeline, TF GATA4 was identified as a direct upstream of GPRC5B. This study proposed a novel pipeline for TF exploration and provided a theoretical basis for COAD therapy.
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spelling pubmed-87617342022-01-18 Multi-Omics Analysis for Transcriptional Regulation of Immune-Related Targets Using Epigenetic Data: A New Research Direction Huang, Chenshen Zhang, Na Xiong, Hao Wang, Ning Chen, Zhizhong Ni, Zhizhan Liu, Xiaohong Lin, Boxu Ge, Bujun Du, Bing Huang, Qi Front Immunol Immunology BACKGROUND: Currently, a comprehensive method for exploration of transcriptional regulation has not been well established. We explored a novel pipeline to analyze transcriptional regulation using co-analysis of RNA sequencing (RNA-seq), assay for transposase-accessible chromatin using sequencing (ATAC-seq), and chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq). METHODS: The G protein-coupled receptors (GPCRs) possibly associated with macrophages were further filtered using a reduced-Cox regression model. ATAC-seq profiles were used to map the chromatin accessibility of the GPRC5B promoter region. Pearson analysis was performed to identify the transcription factor (TF) whose expression was correlated with open chromatin regions of GPRC5B promoter. ChIP-seq profiles were obtained to confirm the physical binding of GATA4 and its predicted binding regions. For verification, quantitative polymerase chain reaction (qPCR) and multidimensional database validations were performed. RESULTS: The reduced-Cox regression model revealed the prognostic value of GPRC5B. A novel pipeline for TF exploration was proposed. With our novel pipeline, we first identified chr16:19884686-19885185 as a reproducible open chromatin region in the GPRC5B promoter. Thereafter, we confirmed the correlation between GATA4 expression and the accessibility of this region, confirmed its physical binding, and proved in vitro how its overexpression could regulate GPRC5B. GPRC5B was significantly downregulated in colon adenocarcinoma (COAD) as seen in 28 patient samples. The correlation between GPRC5B and macrophages in COAD was validated using multiple databases. CONCLUSION: GPRC5B, correlated with macrophages, was a key GPCR affecting COAD prognosis. Further, with our novel pipeline, TF GATA4 was identified as a direct upstream of GPRC5B. This study proposed a novel pipeline for TF exploration and provided a theoretical basis for COAD therapy. Frontiers Media S.A. 2022-01-03 /pmc/articles/PMC8761734/ /pubmed/35046932 http://dx.doi.org/10.3389/fimmu.2021.741634 Text en Copyright © 2022 Huang, Zhang, Xiong, Wang, Chen, Ni, Liu, Lin, Ge, Du and Huang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Huang, Chenshen
Zhang, Na
Xiong, Hao
Wang, Ning
Chen, Zhizhong
Ni, Zhizhan
Liu, Xiaohong
Lin, Boxu
Ge, Bujun
Du, Bing
Huang, Qi
Multi-Omics Analysis for Transcriptional Regulation of Immune-Related Targets Using Epigenetic Data: A New Research Direction
title Multi-Omics Analysis for Transcriptional Regulation of Immune-Related Targets Using Epigenetic Data: A New Research Direction
title_full Multi-Omics Analysis for Transcriptional Regulation of Immune-Related Targets Using Epigenetic Data: A New Research Direction
title_fullStr Multi-Omics Analysis for Transcriptional Regulation of Immune-Related Targets Using Epigenetic Data: A New Research Direction
title_full_unstemmed Multi-Omics Analysis for Transcriptional Regulation of Immune-Related Targets Using Epigenetic Data: A New Research Direction
title_short Multi-Omics Analysis for Transcriptional Regulation of Immune-Related Targets Using Epigenetic Data: A New Research Direction
title_sort multi-omics analysis for transcriptional regulation of immune-related targets using epigenetic data: a new research direction
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761734/
https://www.ncbi.nlm.nih.gov/pubmed/35046932
http://dx.doi.org/10.3389/fimmu.2021.741634
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