Stochastic Gene Expression in a Single Cell
By Michael B. Elowitz, Arnold J. Levine, Eric D. Siggia, Peter S. Swain. Science, 2002
3,151 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/f34fd6c716935a0be7cdb34c9d5c1661d7608e00
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Peter S. Swain
- James J. Collins
- Jin Wang
- Michael B. Elowitz
- Hans V. Westerhoff
- Frank J. Bruggeman
- Fred C. Boogerd
- J. Hornberg
In Molecular Biology
- James J. Collins
- Peter S. Swain
- Jin Wang
- Karsten Kruse
- Saket Kumar Choudhary
- Carol A. Gross
- D. Burkhardt
- Michael B. Elowitz
Citations in the corpus
- Comparison and evaluation of statistical error models for scRNA-seq (2021, background): “The presence of intrinsic noise has been extensively characterized and is an inevitable consequence of the gene regulatory process [26, 27, 49, 50].”
- Serum response factor: toggling between disparate programs of gene expression. (2003, background): “While gene expression is thought to be stochastic in nature [1,2], some level of determinism must be conveyed to explain the wide variety of cell types that evolve from a single fertilized oocyte.”
- Molecular mechanisms underlying bacterial persisters. (2014, neutral): “It is well known that all cells are subjected to both intrinsic and extrinsic molecular noise that influences gene expression in individual cells (Elowitz et al., 2002).”
- Nonequilibrium physics in biology (2019, background): “landscape can be inferred from the steady-state protein distribution, which can be obtained by simultaneous fluorescent labeling of several gene products and tracing the expression of individual genes over time (Elowitz et al., 2002; Yu et al., 2006).”