Pan-cancer single-cell analysis reveals the heterogeneity and plasticity of cancer-associated fibroblasts in the tumor microenvironment DOI Creative Commons
Han Luo, Xuyang Xia, Li‐Bin Huang

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Nov. 4, 2022

Abstract Cancer-associated fibroblasts (CAFs) are the predominant components of tumor microenvironment (TME) and influence cancer hallmarks, but without systematic investigation on their ubiquitous characteristics across different types. Here, we perform pan-cancer analysis 226 samples 10 solid types to profile TME at single-cell resolution, illustrating commonalities/plasticity heterogenous CAFs. Activation trajectory major CAF is divided into three states, exhibiting distinct interactions with other cell components, relating prognosis immunotherapy. Moreover, minor represent alternative origin from (e.g., endothelia macrophages). Particularly, presentation endothelial-to-mesenchymal transition CAF, which may interact proximal SPP 1 + tumor-associated macrophages, implicated in survival stratifications. Our study comprehensively profiles shared dynamics CAFs, highlight heterogeneity plasticity Browser integrated information available https://gist-fgl.github.io/sc-caf-atlas/ .

Language: Английский

Inference and analysis of cell-cell communication using CellChat DOI Creative Commons
Suoqin Jin, Christian F. Guerrero‐Juarez, Lihua Zhang

et al.

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: Feb. 17, 2021

Understanding global communications among cells requires accurate representation of cell-cell signaling links and effective systems-level analyses those links. We construct a database interactions ligands, receptors their cofactors that accurately represent known heteromeric molecular complexes. then develop CellChat, tool is able to quantitatively infer analyze intercellular communication networks from single-cell RNA-sequencing (scRNA-seq) data. CellChat predicts major inputs outputs for how signals coordinate functions using network analysis pattern recognition approaches. Through manifold learning quantitative contrasts, classifies pathways delineates conserved context-specific across different datasets. Applying mouse human skin datasets shows its ability extract complex patterns. Our versatile easy-to-use toolkit web-based Explorer ( http://www.cellchat.org/ ) will help discover novel build atlases in diverse tissues.

Language: Английский

Citations

4607

Exploring tissue architecture using spatial transcriptomics DOI
Anjali Rao, Dalia Barkley, Gustavo S. França

et al.

Nature, Journal Year: 2021, Volume and Issue: 596(7871), P. 211 - 220

Published: Aug. 11, 2021

Language: Английский

Citations

1077

A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells DOI Creative Commons
Sijin Cheng, Ziyi Li, Ranran Gao

et al.

Cell, Journal Year: 2021, Volume and Issue: 184(3), P. 792 - 809.e23

Published: Feb. 1, 2021

Tumor-infiltrating myeloid cells (TIMs) are key regulators in tumor progression, but the similarity and distinction of their fundamental properties across different tumors remain elusive. Here, by performing a pan-cancer analysis single from 210 patients 15 human cancer types, we identified distinct features TIMs types. Mast nasopharyngeal were found to be associated with better prognosis exhibited an anti-tumor phenotype high ratio TNF+/VEGFA+ cells. Systematic comparison between cDC1- cDC2-derived LAMP3+ cDCs revealed differences transcription factors external stimulus. Additionally, pro-angiogenic tumor-associated macrophages (TAMs) characterized diverse markers composition appeared certain somatic mutations gene expressions. Our results provide systematic view highly heterogeneous suggest future avenues for rational, targeted immunotherapies.

Language: Английский

Citations

978

Deciphering cell–cell interactions and communication from gene expression DOI Open Access
Erick Armingol, Adam Officer, Olivier Harismendy

et al.

Nature Reviews Genetics, Journal Year: 2020, Volume and Issue: 22(2), P. 71 - 88

Published: Nov. 9, 2020

Language: Английский

Citations

914

Pan-cancer single-cell landscape of tumor-infiltrating T cells DOI
Liangtao Zheng, Shishang Qin, Wen Si

et al.

Science, Journal Year: 2021, Volume and Issue: 374(6574)

Published: Dec. 16, 2021

T cells play a central role in cancer immunotherapy, but we lack systematic comparison of the heterogeneity and dynamics tumor-infiltrating across types. We built single-cell RNA-sequencing pan-cancer atlas for 316 donors 21 types revealed distinct cell composition patterns. found multiple state-transition paths exhaustion CD8+ preference those among different tumor Certain populations showed specific correlation with patient properties such as mutation burden, shedding light on possible determinants microenvironment. compositions within tumors alone could classify patients into groups clinical trait specificity, providing new insights immunity precision immunotherapy targeting cells.

Language: Английский

Citations

860

Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma DOI Creative Commons
Andrew L. Ji, Adam J. Rubin, Kim Thrane

et al.

Cell, Journal Year: 2020, Volume and Issue: 182(2), P. 497 - 514.e22

Published: June 23, 2020

To define the cellular composition and architecture of cutaneous squamous cell carcinoma (cSCC), we combined single-cell RNA sequencing with spatial transcriptomics multiplexed ion beam imaging from a series human cSCCs matched normal skin. cSCC exhibited four tumor subpopulations, three recapitulating epidermal states, tumor-specific keratinocyte (TSK) population unique to cancer, which localized fibrovascular niche. Integration data mapped ligand-receptor networks specific types, revealing TSK cells as hub for intercellular communication. Multiple features potential immunosuppression were observed, including T regulatory (Treg) co-localization CD8 in compartmentalized stroma. Finally, characterization xenografts vivo CRISPR screens identified essential roles subpopulation-enriched gene tumorigenesis. These stromal niches where they interact, communicating that engage cancer.

Language: Английский

Citations

791

Single‐cell RNA sequencing technologies and applications: A brief overview DOI

Dragomirka Jovic,

Xue Liang, Zeng Hua

et al.

Clinical and Translational Medicine, Journal Year: 2022, Volume and Issue: 12(3)

Published: March 1, 2022

Language: Английский

Citations

676

Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics DOI
Sophia K. Longo, Margaret Guo, Andrew L. Ji

et al.

Nature Reviews Genetics, Journal Year: 2021, Volume and Issue: 22(10), P. 627 - 644

Published: June 18, 2021

Language: Английский

Citations

675

Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches DOI Creative Commons
Martin Guilliams, Johnny Bonnardel, Birthe Haest

et al.

Cell, Journal Year: 2022, Volume and Issue: 185(2), P. 379 - 396.e38

Published: Jan. 1, 2022

The liver is the largest solid organ in body, yet it remains incompletely characterized. Here we present a spatial proteogenomic atlas of healthy and obese human murine combining single-cell CITE-seq, single-nuclei sequencing, transcriptomics, proteomics. By integrating these multi-omic datasets, provide validated strategies to reliably discriminate localize all hepatic cells, including population lipid-associated macrophages (LAMs) at bile ducts. We then align this across seven species, revealing conserved program bona fide Kupffer cells LAMs. also uncover respective spatially resolved cellular niches microenvironmental circuits driving their unique transcriptomic identities. demonstrate that LAMs are induced by local lipid exposure, leading induction steatotic regions liver, while cell development crucially depends on cross-talk with stellate via evolutionarily ALK1-BMP9/10 axis.

Language: Английский

Citations

630

Best practices for single-cell analysis across modalities DOI Open Access
Lukas Heumos, Anna C. Schaar, Christopher Lance

et al.

Nature Reviews Genetics, Journal Year: 2023, Volume and Issue: 24(8), P. 550 - 572

Published: March 31, 2023

Language: Английский

Citations

527