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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |