Research Topic

Single Cell Analysis

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New approaches for Single Cell analysis (SCA) are gaining in popularity where “bulk” analysis is not suitable. Instead of averaged out signals from genes, proteins and potential markers from a bulk of heterogeneous sample, new platforms allow dissection of such heterogeneity at single-cell resolution for ...

New approaches for Single Cell analysis (SCA) are gaining in popularity where “bulk” analysis is not suitable. Instead of averaged out signals from genes, proteins and potential markers from a bulk of heterogeneous sample, new platforms allow dissection of such heterogeneity at single-cell resolution for nuanced understanding of complex phenomena such as cancer, development, signaling mechanisms, microbial environments, etc. Stochasticity and noise in biological systems can also be understood at cellular levels. From precise characterization and measurement of heterogeneity within a given tumor to focusing on hierarchies of cell types therein, to its spatio-temporal evolution or its resistance to therapy, SCA is offering fundamental insights in cancer research. In addition, SCA is being increasingly used by researchers in different fields ranging from stem cell biology, regenerative medicine, microbiology, and so on. There is also a very active community working on the development of a variety of platforms for SCA involving microfluidics, flow cytometry, microscopy and imaging, etc.

It is therefore timely to launch an online forum to facilitate the following aims:
1. To gain familiarity with and enable interaction among labs and researchers interested in SCA across different areas, applications and geographical regions
2. To discuss on the needs and challenges with the existing or new technologies, protocols and applications associated with SCA
3. To publish original articles, reports and reviews related to SCA using the forum
4. To share information on events and developments of interest to SCA.


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