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Sampling from Single Cells
Author(s) -
Actis Paolo
Publication year - 2018
Publication title -
small methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.66
H-Index - 46
ISSN - 2366-9608
DOI - 10.1002/smtd.201700300
Subject(s) - snapshot (computer storage) , computational biology , data science , computer science , sampling (signal processing) , living cell , biology , microbiology and biotechnology , filter (signal processing) , computer vision , operating system
Abstract The cell is the fundamental unit of biology. Major methodological advances in engineering and molecular biology have enabled the 'omics analysis of individual cells and supported biologists in understanding the deepest difference between health and disease. These advancements were based on the assumption that a single cell needs to be lysed or fixed before any in‐depth analysis can be performed. Here, a picture is painted of the innovative methods used for extracting the contents of living cells without affecting their viability. These novel methods are now empowering the biological community to repeatedly interrogate a single cell over time, thus giving a dynamic representation of the cell's 'omics rather than a snapshot at a particular time point.