The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
TISCH2: expanded datasets and new tools for single-cell transcriptome analyses of the tumor microenvironment
Open accessAbstract
The Tumor Immune Single Cell Hub 2 (TISCH2) is a resource of single-cell RNA-seq (scRNA-seq) data from human and mouse tumors, which enables comprehensive characterization of gene expression in the tumor microenvironment (TME) across multiple cancer types. As an increasing number of datasets are generated in the public domain, in this update, TISCH2 has included 190 tumor scRNA-seq datasets covering 6 million cells in 50 cancer types, with 110 newly collected datasets and almost tripling the number of cells compared with the previous release. Furthermore, TISCH2 includes several new functions that allow users to better utilize the large-scale scRNA-seq datasets. First, in the Dataset module, TISCH2 provides the cell–cell communication results in each dataset, facilitating the analyses of interacted cell types and the discovery of significant ligand–receptor pairs between cell types. TISCH2 also includes the transcription factor analyses for each dataset and visualization of the top enriched transcription factors of each cell type. Second, in the Gene module, TISCH2 adds functions for identifying correlated genes and providing survival information for the input genes. In summary, TISCH2 is a user-friendly, up-to-date and well-maintained data resource for gene expression analyses in the TME. TISCH2 is freely available at http://tisch.comp-genomics.org/.
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Cited by
Wang, J., Chen, X., Wu, D., Jia, C., Lian, Q., Pan, Y., & Yang, J. (2024) · Liver Research · doi:10.1016/j.livres.2024.11.001 · Cited by 18
Cholesterol efflux protein, ABCA1, supports anticancer functions of myeloid immune cells
Bendre, S. V., Wang, Y., Hajyousif, B., K C, R., Bhogale, S. G., Pradeep, D., Krawczynska, N., Schane, C. P., Weisser, E., Singh, A., et al. (2026) · Science Advances · doi:10.1126/sciadv.adx5490 · Cited by 8
“S1C) ( 36 ).”
Self-citationFariha, F. T. J., Fuad, M., Saha, C. S., Hossen, S., & Hossain, M. J. (2025) · Scientific Reports · doi:10.1038/s41598-025-13315-6 · Cited by 1
Metadata
- Authors
- Han, Y., Wang, Y., Dong, X., Sun, D., Liu, Z., Yue, J., Wang, H., Li, T., & Wang, C.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2022-11-02
- Volume
- 51
- Issue
- D1
- Pages
- D1425-D1431
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W4307969384
- Cited by
- 630
- References
- 11
- FWCI
- 33.35
- Type
- journal article
- Language
- en
- Open access
- gold
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