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The CSL proteins, versatile transcription factors and context dependent corepressors of the notch signaling pathway

Overview of attention for article published in Cell Division, September 2016
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Title
The CSL proteins, versatile transcription factors and context dependent corepressors of the notch signaling pathway
Published in
Cell Division, September 2016
DOI 10.1186/s13008-016-0025-2
Pubmed ID
Authors

Humberto Contreras-Cornejo, Germán Saucedo-Correa, Javier Oviedo-Boyso, Juan José Valdez-Alarcón, Víctor Manuel Baizabal-Aguirre, Marcos Cajero-Juárez, Alejandro Bravo-Patiño

Abstract

The Notch signaling pathway is a reiteratively used cell to cell communication pathway that triggers pleiotropic effects. The correct regulation of the pathway permits the efficient regulation of genes involved in cell fate decision throughout development. This activity relies notably on the CSL proteins, (an acronym for CBF-1/RBPJ-κ in Homo sapiens/Mus musculus respectively, Suppressor of Hairless in Drosophila melanogaster, Lag-1 in Caenorhabditis elegans) which is the unique transcription factor and DNA binding protein involved in this pathway. The CSL proteins have the capacity to recruit activation or repression complexes according to the cellular context. The aim of this review is to describe the different co-repressor proteins that interact directly with CSL proteins to form repression complexes thereby regulating the Notch signaling pathway in animal cells to give insights into the paralogous evolution of these co-repressors in higher eumetazoans and their subsequent effects at developmental processes.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 1%
Unknown 97 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 31%
Student > Bachelor 17 17%
Researcher 11 11%
Student > Master 8 8%
Student > Doctoral Student 4 4%
Other 11 11%
Unknown 17 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 43 44%
Agricultural and Biological Sciences 16 16%
Medicine and Dentistry 6 6%
Engineering 4 4%
Immunology and Microbiology 3 3%
Other 7 7%
Unknown 19 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 October 2017.
All research outputs
#17,893,863
of 23,005,189 outputs
Outputs from Cell Division
#84
of 132 outputs
Outputs of similar age
#231,888
of 323,399 outputs
Outputs of similar age from Cell Division
#2
of 2 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 132 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 323,399 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.