Integrated single-cell profiling dissects cell-state-specific enhancer landscapes of human tumor-infiltrating CD8+ T cells_Supplemental_Data
Authors/Creators
- 1. Leibniz Institute for Immunotherapy (LIT), 93053 Regensburg, Germany.
Description
Processed Datasets for:
EGA Study ID: EGAS00001006141
EGA Dataset ID: EGAD00001008662
Find processed files and arrow files
Abstract:
Despite extensive studies on the chromatin landscape of exhausted T cells, the transcriptional wiring underlying the heterogeneous functional and dysfunctional states of human tumor-infiltrating lymphocytes (TILs) is incompletely understood. Here, we identify gene-regulatory landscapes in a wide breadth of functional and dysfunctional CD8+ TIL states covering four cancer entities using single-cell chromatin profiling. We map enhancer-promoter interactions in human TILs by integrating single-cell chromatin accessibility with single-cell RNA-seq data from tumor-entity-matching samples and prioritize cell-state-specific genes by super-enhancer analysis. Besides revealing entity-specific chromatin remodeling in exhausted TILs, our analyses identify a common chromatin trajectory to TIL dysfunction and determine key enhancers, transcriptional regulators, and deregulated genes involved in this process. Finally, we validate enhancer regulation at immunotherapeutically relevant loci by targeting non-coding regulatory elements with potent CRISPR activators and repressors. In summary, our study provides a framework for understanding and manipulating cell-state-specific gene-regulatory cues from human tumor-infiltrating lymphocytes.
Files
ArchRobject_TIL_all.zip
Files
(26.2 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:9eefc7e35fd0eacd2bf0b94a956b358e
|
2.6 GB | Download |
|
md5:c84791013b23e5c1d37ac38b44956c4e
|
454.4 MB | Download |
|
md5:dea925575e7ab7d60980ba5d55b920d7
|
398.8 MB | Download |
|
md5:2ddf4bbe9a848e2fead63724e8be7f14
|
519.8 MB | Download |
|
md5:635aef7781a6d71f0ad7079a3ed9ece8
|
840.3 MB | Download |
|
md5:56c53ea8da7dd292c311dafb252d9583
|
8.7 GB | Preview Download |
|
md5:47a60733a4c50117f3b42eb63dd7cb79
|
8.9 GB | Preview Download |
|
md5:f06398a0c2316524f398f781221ae3c9
|
605 Bytes | Download |
|
md5:eb44edc7b1ef5f728fbabfb87f5f54e7
|
135 Bytes | Download |
|
md5:277f493d42bcd409d219dac3667b731b
|
2.1 GB | Download |
|
md5:d690ec3fce9dd16ac45ccd831ee3ba64
|
397.5 MB | Download |
|
md5:9304537248e01483cfcb81a4cc81257f
|
287.8 MB | Download |
|
md5:797c7f0521313e6f874e880fc548cba1
|
365.8 MB | Download |
|
md5:e48cd475f558810ce4249ca4b118e159
|
596.0 MB | Download |
Additional details
Related works
- Is supplemented by
- Journal article: 10.1016/j.molcel.2022.12.029 (DOI)
- Dataset: https://ega-archive.org/datasets/EGAD00001008662 (URL)
References
- Mol Cell . 2023 Feb 16;83(4):622-636.e10. doi: 10.1016/j.molcel.2022.12.029. Epub 2023 Jan 18
Subjects
- https://rest.ensembl.org/taxonomy/id/
- 9606