Single cell analysis: the new frontier in ‘Omics’
By Daojing Wang, Steven Bodovitz. Trends in Biotechnology, 2010
674 citations recorded by the source corpus.
Cellular heterogeneity arising from stochastic expression of genes, proteins and metabolites is a fundamental principle of cell biology, but single cell analysis has been beyond the capabilities of ‘Omics’ technologies. This is rapidly changing with the recent examples of single cell genomics, transcriptomics, proteomics and metabolomics. The rate of change is expected to accelerate owing to emerging technologies that range from micro/nanofluidics to microfabricated interfaces for mass spectrometry to third- and fourth-generation automated DNA sequencers. As described in this review, single cell analysis is the new frontier in Omics, and single cell Omics has the potential to transform systems biology through new discoveries derived from cellular heterogeneity.
Subfields: Biophysics, Molecular Biology, Spectroscopy
View Paper: https://www.semanticscholar.org/paper/328431adda76cb875d3c09d2030258d7370a04d9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Itai Yanai
- Sarah A. Teichmann
- John C. Marioni
- Christina Kendziorski
- Rhonda L. Bacher
- Kimberly R. Kukurba
- Stephen B. Montgomery
- Cole Trapnell
In Spectroscopy
Citations in the corpus
- CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. (2012, background): “For many biological questions a single-cell-level description of gene regulation is advantageous to cell populations (Tang et al., 2011; Wang and Bodovitz, 2010).”