Raj Lab:Reading list
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| + | //This paper talks about how patterns can form from the spatial interactions between diffusing chemical species. Check out the date this paper was published: before the structure of DNA! Also, it's one of the first papers to recognize the role that computer simulations could play in studying these types of problems. | ||
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//A classic paper about the physical limits of receptor function. | //A classic paper about the physical limits of receptor function. | ||
Revision as of 10:41, 29 October 2009
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Here's a list of papers that we think are interesting or useful (still very much a work in progress...):
Introduction to stochastic effects in gene expression
- Ko MS, Nakauchi H, and Takahashi N. . pmid:2167833.
A surprisingly modern analysis of non-genetic variability in gene expression in mammalian cells. - Elowitz MB, Levine AJ, Siggia ED, and Swain PS. . pmid:12183631.
A beautiful demonstration that variability in gene expression is intrinsically random. - Ozbudak EM, Thattai M, Kurtser I, Grossman AD, and van Oudenaarden A. . pmid:11967532.
Perhaps the first demonstration of the dependence of variability upon biochemical parameters.
Developmental biology
- Turing AM. . pmid:2185858.
This paper talks about how patterns can form from the spatial interactions between diffusing chemical species. Check out the date this paper was published: before the structure of DNA! Also, it's one of the first papers to recognize the role that computer simulations could play in studying these types of problems. - Berg HC and Purcell EM. . pmid:911982.
A classic paper about the physical limits of receptor function. - Gregor T, Tank DW, Wieschaus EF, and Bialek W. . pmid:17632062.
- Wernet MF, Mazzoni EO, Celik A, Duncan DM, Duncan I, and Desplan C. . pmid:16525464.
A technical tour de force in which the authors show that stochastic expression established the retinal mosaic in fruit flies. - Chang HH, Hemberg M, Barahona M, Ingber DE, and Huang S. . pmid:18497826.
In this paper, the authors show that stochastic lineage commitment is a result of transcriptome wide variability in gene expression. Cool!
