The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells
Open accessAbstract
cDCs revealed their differences in transcription factors and external stimulus. Additionally, pro-angiogenic tumor-associated macrophages (TAMs) were characterized with diverse markers across different cancer types, and the composition of TIMs appeared to be associated with certain features of somatic mutations and gene expressions. Our results provide a systematic view of the highly heterogeneous TIMs and suggest future avenues for rational, targeted immunotherapies.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This is in agreement with previous observations showing low expression of Toll-like receptor (TLR) signaling genes and low innate immune activity of cDC3_LAMP348 and the “pro-inflammatory” properties of cDC2_FCN1 and cDC2_IL1B in blood51.”
From Transformer for one stop interpretable cell type annotation (2023) · cites this paper as [48]
In the citing paper
“On the cDCs populations, TOSICA reveals that the same cDC subsets from different tumor types are clustered together (Supplementary Fig. 12b), which is consistent with previous observations48.”
From Transformer for one stop interpretable cell type annotation (2023) · cites this paper as [48]
In the citing paper
“As interpretable trajectories, the diffusion map52 based on TOSICA attention embedding confirms two potential origins of the cDC3_LAMP3 from cDC1s and cDC2-CXCL9, as previously suggested48 (Fig. 4d).”
From Transformer for one stop interpretable cell type annotation (2023) · cites this paper as [48]
In the citing paper
“Furthermore, benefiting from its high resolution, TOSICA identifies several subtypes of monocytes that have not been discovered in the original publication48 (Fig. 4h), all having their own biological signatures and potentially different functions (Supplementary Fig. 12e).”
From Transformer for one stop interpretable cell type annotation (2023) · cites this paper as [48]
In the citing paper
“Furthermore, the map reveals another state transition path from cDC2 to pro-inflammatory cDC2 subtypes (Fig. 4d), which has not been observed in the previous analysis48.”
From Transformer for one stop interpretable cell type annotation (2023) · cites this paper as [48]
In the citing paper
“This dataset contains tumor infiltrating myeloid cells from multiple different tumor types [21].”
From A Deep Dive into Single-Cell RNA Sequencing Foundation Models (2023) · cites this paper as [21]
Citations
Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
Li, B., & Dewey, C. N. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-323 · Cited by 22,179
ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
Wang, K., Li, M., & Hakonarson, H. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq603 · Cited by 14,724
The Molecular Signatures Database Hallmark Gene Set Collection
Liberzon, A., Birger, C., Thorvaldsdóttir, H., Ghandi, M., Mesirov, J. P., & Tamayo, P. (2015) · Cell Systems · doi:10.1016/j.cels.2015.12.004 · Cited by 13,807
Fast and accurate long-read alignment with Burrows-Wheeler transform.
Li, H., & Durbin, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp698 · Cited by 12,063
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R. E., Garimella, K. V., Maguire, J., Hartl, C., Philippakis, A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,457
SCANPY: large-scale single-cell gene expression data analysis
Wolf, F. A., Angerer, P., & Theis, F. J. (2018) · Genome Biology · doi:10.1186/s13059-017-1382-0 · Cited by 8,881
Scenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520
Alternative activation of macrophages
Gordon, S. (2003) · Nature Reviews Immunology · doi:10.1038/nri978 · Cited by 6,189
Flagged first, then by citations
Cited by
Sorted by citations
Items 1,001–1,003 of 1,003
Immunosuppression and phenotypic plasticity in an atlas of human hepatocholangiocarcinoma
Li, Y., Xun, Z., Long, J., Sun, H., Yang, X., Wang, Y., Wang, Y., Xue, J., Zhang, N., Zhang, J., et al. (2024) · Hepatobiliary Surgery and Nutrition · doi:10.21037/hbsn-23-400 · Cited by 2
Evaluating the learnability of single-cell large language models on multiple tasks
Yan, Y., Wang, X., & Song, D. (2026) · doi:10.21203/rs.3.rs-8919408/v1 · Cited by 1
Self-citationEvaluating the learnability of single-cell large language models on multiple tasks
Yan, Y., Wang, X., & Song, D. (2026) · BMC Genomics · doi:10.1186/s12864-026-12975-6 · Cited by 1
Self-citation
Metadata
- Authors
- Cheng, S., Li, Z., Gao, R., Xing, B., Gao, Y., Yang, Y., Qin, S., Zhang, L., Ouyang, H., Du, P., Jiang, L., Zhang, B., Yang, Y., Wang, X., Ren, X., Bei, J.-X., Hu, X., Bu, Z., Ji, J., & Zhang, Z.
- Affiliations
- Peking University (CN)
- Peking University Cancer Hospital (CN)
- Peking University Third Hospital (CN)
- Sun Yat-sen University (CN)
- Corresponding author
- Bu, Zhaode
- Ji, Jiafu
- Zhang, Zemin
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 184
- Issue
- 3
- Pages
- 792-809.e23
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W3126902084
- Cited by
- 1,601
- References
- 84
- Citations by year
- 2026: 337 · 2025: 370 · 2024: 377 · 2023: 267 · 2022: 190 · 2021: 58
- FWCI
- 87.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cell (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China
- Beijing Municipal Science and Technology Commission
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Keywords
- tumor-infiltrating myeloid cells, pan-cancer, single-cell transcriptomics, myeloid dendritic cells, tumor-associated macrophages, myeloid heterogeneity, somatic mutations, cancer immunotherapy, tumor microenvironment
- MeSH terms
- Dendritic Cells, Female, Humans, Macrophages, Male, Mast Cells, Monocytes, Neoplasm Proteins, Neoplasms, Transcription, Genetic, Cell Lineage, Myeloid Cells, Cell Line, Tumor, Lysosomal Membrane Proteins, Single-Cell Analysis, Transcriptome, Lysosomal-Associated Membrane Protein 3
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
