Cited by 1,601Immune cells in cancerSingle-cell and spatial transcriptomicsCancer Immunotherapy and Biomarkers

A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells

Open access
Cheng, Sijin, Li, Ziyi, Gao, Ranran, Xing, Baocai, Gao, Yunong, Yang, Yu, Qin, Shishang, Zhang, Lei +12 more·2021·Cell

Abstract

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.

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Crossref · 10.1016/j.cell.2021.01.010

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84 of 84 references verified0 citation errors · 0 not checkable

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  • Previous observations show low expression of TLR signaling genes and low innate immune activity of cDC3_LAMP3 and pro-inflammatory properties of cDC2_FCN1 and cDC2_IL1B in blood.

    “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]

  • TOSICA analysis clusters the same cDC subsets from different tumor types together.

    “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]

  • Diffusion map based on TOSICA attention embedding confirms two potential origins of cDC3_LAMP3 from cDC1s and cDC2-CXCL9.

    “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]

  • TOSICA identifies several subtypes of monocytes that have not been discovered in the original publication.

    “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]

  • The diffusion map reveals another state transition path from cDC2 to pro-inflammatory cDC2 subtypes, which was not observed in the previous analysis.

    “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]

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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
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 · 2020: 1
FWCI
87.30
Type
journal article
Language
en
Open access
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

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