Chen X, Wu AR.
Special Mini-Issue: Quantitative methods to decipher cellular heterogeneity - from single-cell to spatial omic methods.
Biophys Rev 2024;
16:11-12. [PMID:
38495439 PMCID:
PMC10937863 DOI:
10.1007/s12551-024-01180-y]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 01/18/2024] [Indexed: 03/19/2024] Open
Abstract
In this mini-issue, we have a collection of eight reviews that discuss various advanced topics on the investigation of cellular heterogeneity. These reviews highlight the latest developments in technologies that capture and assess biology at single cell resolution, as well as approaches for cellular measurements with spatial information. Challenges and opportunities to develop future innovations and approaches are also presented.
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