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Using variability in gene expression as a tool for studying gene regulation
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title
Using variability in gene expression as a tool for studying gene regulation
(English)
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author name string
Olivia Padovan-Merhar
series ordinal
1
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Arjun Raj
series ordinal
2
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language of work or name
English
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stated in
PubMed
publication date
2013
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published in
Wiley interdisciplinary reviews. Systems biology and medicine
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volume
5
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PubMed
issue
6
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page(s)
751-9
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PubMed
cites work
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Single-RNA counting reveals alternative modes of gene expression in yeast
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linc-HOXA1 is a noncoding RNA that represses Hoxa1 transcription in cis
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28 September 2017
Single-cell gene expression profiling reveals functional heterogeneity of undifferentiated human epidermal cells
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Single-cell expression analyses during cellular reprogramming reveal an early stochastic and a late hierarchic phase
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Mammalian genes are transcribed with widely different bursting kinetics
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Cellular noise regulons underlie fluctuations in Saccharomyces cerevisiae
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Detection of individual endogenous RNA transcripts in situ using multiple singly labeled probes
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Probing gene expression in live cells, one protein molecule at a time.
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21 January 2018
A continuum of transcriptional identities visualized by combinatorial fluorescent in situ hybridization
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Stochastic protein expression in individual cells at the single molecule level
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Single-cell gene expression profiling
1 reference
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reference URL
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retrieved
12 December 2020
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inferred from PubMed ID database lookup
Identifiers
DOI
10.1002/WSBM.1243
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
4581781
OpenCitations bibliographic resource ID
4581781
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
4581781
PMC publication ID
4561544
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
4581781
PubMed publication ID
23996796
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
4581781
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