Journal
DISEASE MODELS & MECHANISMS
Volume 12, Issue 2, Pages -Publisher
COMPANY BIOLOGISTS LTD
DOI: 10.1242/dmm.037622
Keywords
Human Cell Atlas; Single-cell genomics; Single-cell transcriptomics
Categories
Funding
- Medical Research Council [MC_UU_00007/15]
- Wellcome Trust [105045/Z/14/Z]
- Wellcome Trust [105045/Z/14/Z] Funding Source: Wellcome Trust
- MRC [MC_PC_15075, MC_UU_00007/15] Funding Source: UKRI
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A single change in DNA, RNA, proteins or cellular images can be useful as a biomarker of disease onset or progression. With high-throughput molecular phenotyping of single cells, it is now conceivable that the molecular changes occurring across thousands, or tens of thousands, of individual cells could additionally be considered as a disease biomarker. Transition to a disease state would then be reflected by the shifts in cell numbers and locations across a multidimensional space that is defined by the molecular content of cells. Realising this ambition requires a robust formulation of such a multidimensional 'cell space'. This is one of the goals of the recently launched Human Cell Atlas project. A second goal is to populate this 'cell space' with all cell types in the human body. Here, I consider the potential of the Human Cell Atlas project for improving our description and understanding of the cell-type specificity of disease.
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