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Motif co-regulation and co-operativity are common mechanisms in transcriptional, post-transcriptional and post-translational regulation

Overview of attention for article published in Cell Communication and Signaling, December 2015
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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9 X users

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58 Mendeley
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Title
Motif co-regulation and co-operativity are common mechanisms in transcriptional, post-transcriptional and post-translational regulation
Published in
Cell Communication and Signaling, December 2015
DOI 10.1186/s12964-015-0123-9
Pubmed ID
Authors

Kim Van Roey, Norman E. Davey

Abstract

A substantial portion of the regulatory interactions in the higher eukaryotic cell are mediated by simple sequence motifs in the regulatory segments of genes and (pre-)mRNAs, and in the intrinsically disordered regions of proteins. Although these regulatory modules are physicochemically distinct, they share an evolutionary plasticity that has facilitated a rapid growth of their use and resulted in their ubiquity in complex organisms. The ease of motif acquisition simplifies access to basal housekeeping functions, facilitates the co-regulation of multiple biomolecules allowing them to respond in a coordinated manner to changes in the cell state, and supports the integration of multiple signals for combinatorial decision-making. Consequently, motifs are indispensable for temporal, spatial, conditional and basal regulation at the transcriptional, post-transcriptional and post-translational level. In this review, we highlight that many of the key regulatory pathways of the cell are recruited by motifs and that the ease of motif acquisition has resulted in large networks of co-regulated biomolecules. We discuss how co-operativity allows simple static motifs to perform the conditional regulation that underlies decision-making in higher eukaryotic biological systems. We observe that each gene and its products have a unique set of DNA, RNA or protein motifs that encode a regulatory program to define the logical circuitry that guides the life cycle of these biomolecules, from transcription to degradation. Finally, we contrast the regulatory properties of protein motifs and the regulatory elements of DNA and (pre-)mRNAs, advocating that co-regulation, co-operativity, and motif-driven regulatory programs are common mechanisms that emerge from the use of simple, evolutionarily plastic regulatory modules.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
India 1 2%
Denmark 1 2%
Unknown 54 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 31%
Student > Ph. D. Student 11 19%
Student > Bachelor 6 10%
Professor > Associate Professor 5 9%
Student > Master 5 9%
Other 10 17%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 38%
Biochemistry, Genetics and Molecular Biology 17 29%
Engineering 3 5%
Physics and Astronomy 2 3%
Chemistry 2 3%
Other 8 14%
Unknown 4 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 August 2023.
All research outputs
#7,147,830
of 25,271,884 outputs
Outputs from Cell Communication and Signaling
#207
of 1,440 outputs
Outputs of similar age
#103,606
of 400,308 outputs
Outputs of similar age from Cell Communication and Signaling
#6
of 8 outputs
Altmetric has tracked 25,271,884 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,440 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 400,308 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.