Using variability in gene expression as a tool for studying gene regulation (Q26864131)

author name string

Olivia Padovan-Merhar

series ordinal

1

1 reference

Arjun Raj

series ordinal

2

1 reference

language of work or name

1 reference

2013

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Wiley interdisciplinary reviews. Systems biology and medicine

published in

1 reference

volume

5

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issue

6

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page(s)

751-9

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CRISPR-mediated modular RNA-guided regulation of transcription in eukaryotes

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28 September 2017

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28 September 2017

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28 September 2017

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28 September 2017

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Probing transcription factor dynamics at the single-molecule level in a living cell

28 September 2017

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28 September 2017

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Noise in protein expression scales with natural protein abundance

28 September 2017

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Stochastic spineless expression creates the retinal mosaic for colour vision.

28 September 2017

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28 September 2017

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28 September 2017

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Single-chromosome transcriptional profiling reveals chromosomal gene expression regulation

28 September 2017

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Cellular noise regulons underlie fluctuations in Saccharomyces cerevisiae

31 May 2018

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A stochastic single-molecule event triggers phenotype switching of a bacterial cell

31 May 2018

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Origins of extrinsic variability in eukaryotic gene expression

31 May 2018

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Detection of individual endogenous RNA transcripts in situ using multiple singly labeled probes

31 May 2018

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Probing gene expression in live cells, one protein molecule at a time.

21 January 2018

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A continuum of transcriptional identities visualized by combinatorial fluorescent in situ hybridization

21 January 2018

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Stochastic protein expression in individual cells at the single molecule level

21 January 2018

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Single-cell gene expression profiling

21 January 2018

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