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Stochastic gene expressions

Theoretical & Physical Biology Group

The genetic information encoded in DNA is read off in living cells through the processes of 'transcription' and 'translation.' The gene produces mRNA molecules (transcription), and mRNAs make proteins (translation) using other macromolecules' help. One fact of life is that these molecular processes are 'noisy.' There are cell-to-cell variations in the mRNA and protein copy numbers even when cells are genetically identical. This noise arguably is a source of phenotypic diversity. We are interested to explore how molecular processes affect gene expression noise.

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Previously we investigated how molecular competition for transcription factors affects gene expression noise. We are now looking at post-transcriptional regulation of the gene expression by micro-RNAs. Micro-RNAs are small non-coding RNAs that bind to large mRNA molecules and inhibit translation. We are developing stochastic models for micro-RNA mediated feedback loops.

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Main papers on this topic

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  1. Probing mechanisms of transcription elongation through cell-to-cell variability of RNA polymerase, MZ Ali, S Choubey, D Das, RC Brewster, Biophysical journal 118 (7), 2020.

  2. Effect of transcription factor resource sharing on gene expression noise, D Das, S Dey, RC Brewster, S Choubey, PLoS computational biology 13 (4), 2017.

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