Cargando…

Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma

The clear cell renal cell carcinoma (ccRCC) microenvironment consists of many different cell types and structural components that play critical roles in cancer progression and drug resistance, but the cellular architecture and underlying gene regulatory features of ccRCC have not been fully characte...

Descripción completa

Detalles Bibliográficos
Autores principales: Long, Zhilin, Sun, Chengfang, Tang, Min, Wang, Yin, Ma, Jiayan, Yu, Jichuan, Wei, Jingchao, Ma, Jianzhu, Wang, Bohan, Xie, Qi, Wen, Jiaming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296597/
https://www.ncbi.nlm.nih.gov/pubmed/35853872
http://dx.doi.org/10.1038/s41421-022-00415-0
_version_ 1784750303646580736
author Long, Zhilin
Sun, Chengfang
Tang, Min
Wang, Yin
Ma, Jiayan
Yu, Jichuan
Wei, Jingchao
Ma, Jianzhu
Wang, Bohan
Xie, Qi
Wen, Jiaming
author_facet Long, Zhilin
Sun, Chengfang
Tang, Min
Wang, Yin
Ma, Jiayan
Yu, Jichuan
Wei, Jingchao
Ma, Jianzhu
Wang, Bohan
Xie, Qi
Wen, Jiaming
author_sort Long, Zhilin
collection PubMed
description The clear cell renal cell carcinoma (ccRCC) microenvironment consists of many different cell types and structural components that play critical roles in cancer progression and drug resistance, but the cellular architecture and underlying gene regulatory features of ccRCC have not been fully characterized. Here, we applied single-cell RNA sequencing (scRNA-seq) and single-cell assay for transposase-accessible chromatin sequencing (scATAC-seq) to generate transcriptional and epigenomic landscapes of ccRCC. We identified tumor cell-specific regulatory programs mediated by four key transcription factors (TFs) (HOXC5, VENTX, ISL1, and OTP), and these TFs have prognostic significance in The Cancer Genome Atlas (TCGA) database. Targeting these TFs via short hairpin RNAs (shRNAs) or small molecule inhibitors decreased tumor cell proliferation. We next performed an integrative analysis of chromatin accessibility and gene expression for CD8(+) T cells and macrophages to reveal the different regulatory elements in their subgroups. Furthermore, we delineated the intercellular communications mediated by ligand–receptor interactions within the tumor microenvironment. Taken together, our multiomics approach further clarifies the cellular heterogeneity of ccRCC and identifies potential therapeutic targets.
format Online
Article
Text
id pubmed-9296597
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Nature Singapore
record_format MEDLINE/PubMed
spelling pubmed-92965972022-07-21 Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma Long, Zhilin Sun, Chengfang Tang, Min Wang, Yin Ma, Jiayan Yu, Jichuan Wei, Jingchao Ma, Jianzhu Wang, Bohan Xie, Qi Wen, Jiaming Cell Discov Article The clear cell renal cell carcinoma (ccRCC) microenvironment consists of many different cell types and structural components that play critical roles in cancer progression and drug resistance, but the cellular architecture and underlying gene regulatory features of ccRCC have not been fully characterized. Here, we applied single-cell RNA sequencing (scRNA-seq) and single-cell assay for transposase-accessible chromatin sequencing (scATAC-seq) to generate transcriptional and epigenomic landscapes of ccRCC. We identified tumor cell-specific regulatory programs mediated by four key transcription factors (TFs) (HOXC5, VENTX, ISL1, and OTP), and these TFs have prognostic significance in The Cancer Genome Atlas (TCGA) database. Targeting these TFs via short hairpin RNAs (shRNAs) or small molecule inhibitors decreased tumor cell proliferation. We next performed an integrative analysis of chromatin accessibility and gene expression for CD8(+) T cells and macrophages to reveal the different regulatory elements in their subgroups. Furthermore, we delineated the intercellular communications mediated by ligand–receptor interactions within the tumor microenvironment. Taken together, our multiomics approach further clarifies the cellular heterogeneity of ccRCC and identifies potential therapeutic targets. Springer Nature Singapore 2022-07-19 /pmc/articles/PMC9296597/ /pubmed/35853872 http://dx.doi.org/10.1038/s41421-022-00415-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Long, Zhilin
Sun, Chengfang
Tang, Min
Wang, Yin
Ma, Jiayan
Yu, Jichuan
Wei, Jingchao
Ma, Jianzhu
Wang, Bohan
Xie, Qi
Wen, Jiaming
Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma
title Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma
title_full Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma
title_fullStr Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma
title_full_unstemmed Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma
title_short Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma
title_sort single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296597/
https://www.ncbi.nlm.nih.gov/pubmed/35853872
http://dx.doi.org/10.1038/s41421-022-00415-0
work_keys_str_mv AT longzhilin singlecellmultiomicsanalysisrevealsregulatoryprogramsinclearcellrenalcellcarcinoma
AT sunchengfang singlecellmultiomicsanalysisrevealsregulatoryprogramsinclearcellrenalcellcarcinoma
AT tangmin singlecellmultiomicsanalysisrevealsregulatoryprogramsinclearcellrenalcellcarcinoma
AT wangyin singlecellmultiomicsanalysisrevealsregulatoryprogramsinclearcellrenalcellcarcinoma
AT majiayan singlecellmultiomicsanalysisrevealsregulatoryprogramsinclearcellrenalcellcarcinoma
AT yujichuan singlecellmultiomicsanalysisrevealsregulatoryprogramsinclearcellrenalcellcarcinoma
AT weijingchao singlecellmultiomicsanalysisrevealsregulatoryprogramsinclearcellrenalcellcarcinoma
AT majianzhu singlecellmultiomicsanalysisrevealsregulatoryprogramsinclearcellrenalcellcarcinoma
AT wangbohan singlecellmultiomicsanalysisrevealsregulatoryprogramsinclearcellrenalcellcarcinoma
AT xieqi singlecellmultiomicsanalysisrevealsregulatoryprogramsinclearcellrenalcellcarcinoma
AT wenjiaming singlecellmultiomicsanalysisrevealsregulatoryprogramsinclearcellrenalcellcarcinoma