The DOI matches its Crossref record; 174 of the 174 references it cites were found in a registry or an index.
Impact of the Human Cell Atlas on medicine
Abstract
Single-cell atlases promise to provide a 'missing link' between genes, diseases and therapies. By identifying the specific cell types, states, programs and contexts where disease-implicated genes act, we will understand the mechanisms of disease at the cellular and tissue levels and can use this understanding to develop powerful disease diagnostics; identify promising new drug targets; predict their efficacy, toxicity and resistance mechanisms; and empower new kinds of therapies, from cancer therapies to regenerative medicine. Here, we lay out a vision for the potential of cell atlases to impact the future of medicine, and describe how advances over the past decade have begun to realize this potential in common complex diseases, infectious diseases (including COVID-19), rare diseases and cancer.
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“The study highlighted the transformative potential of single-cell and spatial genomics in understanding disease mechanisms, and diagnosing, and treating various conditions.”
From Single-cell sequencing to multi-omics: technologies and applications (2024) · cites this paper as [181]
Citations
Cites
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Cited by
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Large-scale foundation model on single-cell transcriptomics
Hao, M., Gong, J., Zeng, X., Liu, C., Guo, Y., Cheng, X., Wang, T., Ma, J., Zhang, X., & Song, L. (2024) · Nature Methods · doi:10.1038/s41592-024-02305-7 · Cited by 628
“The original DeepCDR model used drug structural information and multiomics data as input and outputted the predicted IC 50 .”
InfluentialProfiling cell identity and tissue architecture with single-cell and spatial transcriptomics
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Automatic cell-type harmonization and integration across Human Cell Atlas datasets
Xu, C., Prete, M., Webb, S., Jardine, L., Stewart, B. J., Hoo, R., He, P., Meyer, K. B., & Teichmann, S. A. (2023) · Cell · doi:10.1016/j.cell.2023.11.026 · Cited by 299
Self-citationRegulation of phospholipid distribution in the lipid bilayer by flippases and scramblases
Sakuragi, T., & Nagata, S. (2023) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-023-00604-z · Cited by 278
Single-cell sequencing to multi-omics: technologies and applications
Wu, X., Yang, X., Dai, Y., Zhao, Z., Zhu, J., Guo, H., & Yang, R. (2024) · Biomarker Research · doi:10.1186/s40364-024-00643-4 · Cited by 222
“By comparing the cell atlases of healthy and diseased states, we can uncover the mechanisms underlying diseases and advance their diagnosis and treatment [181].”
Background
Metadata
- Authors
- Rood, J. E., Maartens, A., Hupalowska, A., Teichmann, S. A., & Regev, A.
- Affiliations
- Genentech (US)
- Wellcome Sanger Institute (GB)
- University of Cambridge (GB)
- Corresponding author
- Teichmann, Sarah A.
- Regev, Aviv
- Venue
- Nature Medicine
- Published
- 2022-12
- Volume
- 28
- Issue
- 12
- Pages
- 2486-2496
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W4310942643
- Semantic Scholar
- 6342df0309067372b899c3fa8044c1bb7ee5c382
- Cited by
- 222
- References
- 161
- Citations by year
- 2026: 34 · 2025: 61 · 2024: 80 · 2023: 46 · 2022: 1
- FWCI
- 4.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Wellcome Trust (206194, 108413/A/15/D)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- Human Cell Atlas, single-cell atlas, cell types, disease mechanisms, therapeutic target, drug resistance, disease diagnosis, cancer, regenerative medicine, infectious diseases, COVID-19 pandemic, rare diseases, complex diseases
- MeSH terms
- COVID-19, Humans, Neoplasms, Drug Delivery Systems, Regenerative Medicine
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