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Cited by 1,768Single-cell and spatial transcriptomicsGene expression and cancer classificationBioinformatics and Genomic Networks

A single–cell type transcriptomics map of human tissues

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Karlsson, Max, Zhang, Cheng, Méar, Loren, Zhong, Wen, Digre, Andreas, Katona, Borbala, Sjöstedt, Evelina, Butler, Lynn +17 more·2021·Science Advances
DOI 10.1126/sciadv.abh2169PMC PMC8318366
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Abstract

Single-cell RNA analysis has been integrated with spatial protein profiling to create a single–cell type map of human tissues.

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Crossref · 10.1126/sciadv.abh2169

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  • Single cell RNA-seq analysis of healthy breast tissue showed macrophages had high ABCA1 expression.

    “This is supported by single cell RNA-seq (scRNA-seq) analysis of healthy breast tissue where macrophages had high expression (data mined from the Human Protein Atlas (28); Fig. 1B, corresponding cluster map in Supplementary Fig. 1A).”

    From Cholesterol efflux protein, ABCA1, supports anticancer functions of myeloid immune cells (2026) · cites this paper as [28]

    The Introduction and Methods describe a Human Protein Atlas single-cell RNA-seq resource assembled from healthy human tissues, supporting the identification of the cited data source. However, the Results passages on cell-type expression do not report high ABCA1 expression in macrophages from healthy breast tissue; searches for “ABCA1” and “breast tissue” found no such result in our copy. (LLM, conf=0.82)

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References 33 · Cited by 1,768

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Authors
Karlsson, M., Zhang, C., Méar, L., Zhong, W., Digre, A., Katona, B., Sjöstedt, E., Butler, L., Odeberg, J., Dusart, P., Edfors, F., Oksvold, P., von Feilitzen, K., Zwahlen, M., Arif, M., Altay, O., Li, X., Ozcan, M., Mardinoglu, A., Fagerberg, L., Mulder, J., Luo, Y., Ponten, F., Uhlén, M., & Lindskog, C.
Affiliations
  • Science for Life Laboratory (SE)
  • Uppsala University (SE)
  • Karolinska Institutet (SE)
  • Karolinska University Hospital (SE)
  • Science for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
  • BGI Group (China) (CN)
  • Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Corresponding author
  • Karlsson, Max
  • Zhang, Cheng
  • Uhlén, Mathias
  • Lindskog, Cecilia
ORCID
Venue
Science Advances
Publisher
American Association for the Advancement of Science (AAAS)
Published
2021-07-30
Volume
7
Issue
31
ISSN
2375-2548 (ISSN-L)
DOI
10.1126/sciadv.abh2169
PMC
PMC8318366
OpenAlex
W3184729641
Cited by
1,768
References
33
Citations by year
2026: 348 · 2025: 449 · 2024: 444 · 2023: 319 · 2022: 198 · 2021: 9
FWCI
79.66
Type
journal article
Language
en
Open access
Licence
Locations
  • Science Advances (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (submittedVersion, cc-by-nc)
  • Uppsala University Publications (Uppsala University) (submittedVersion, other-oa)
  • NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
Funders
Knut och Alice Wallenbergs Stiftelse
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
Keywords
single-cell transcriptomics, human tissue, cell type atlas, gene expression specificity, human protein-coding genes
MeSH terms
Antibodies, Humans, Proteome, Gene Expression Profiling, Proteomics, Transcriptome

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