The use of single-cell multi-omics in immuno-oncology

Anjun Ma; Gang Xin; Qin Ma

doi:10.1038/s41467-022-30549-4

The use of single-cell multi-omics in immuno-oncology

Nat Commun. 2022 May 18;13(1):2728. doi: 10.1038/s41467-022-30549-4.

Authors

Anjun Ma^{1

2}, Gang Xin^{2

3}, Qin Ma^{4

5}

Affiliations

¹ Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA.
² Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210, USA.
³ Department of Microbial Infection and Immunity, The Ohio State University, Columbus, OH, 43210, USA.
⁴ Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA. qin.ma@osumc.edu.
⁵ Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210, USA. qin.ma@osumc.edu.

Abstract

Single-cell multi-omics (scMulti-omics) has brought transformative insights into immuno-oncology, demonstrating success in describing novel immune subsets and defining important regulators of antitumor immunity. Here, we give examples of how scMulti-omics has been used in specific tumor studies and discuss how this may develop in the future.

Publication types

Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, N.I.H., Extramural

MeSH terms

Computational Biology
Humans
Neoplasms* / genetics
Neoplasms* / therapy

Abstract

Publication types

MeSH terms

Grants and funding