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The Cynosure of CtBP: Evolution of a Bilaterian Transcriptional Corepressor

TLDR
A comparative phylogenetic study shows that CtBP is a bilaterian innovation whose CTD of about 100 residues is present in almost all orthologs, and highlights the rich regulatory potential of this previously unstudied domain of a central transcriptional regulator.
Abstract
Evolution of sequence-specific transcription factors clearly drives lineage-specific innovations, but less is known about how changes in the central transcriptional machinery may contribute to evolutionary transformations. In particular, transcriptional regulators are rich in intrinsically disordered regions that appear to be magnets for evolutionary innovation. The C-terminal Binding Protein (CtBP) is a transcriptional corepressor derived from an ancestral lineage of alpha hydroxyacid dehydrogenases; it is found in mammals and invertebrates, and features a core NAD-binding domain as well as an unstructured C-terminus (CTD) of unknown function. CtBP can act on promoters and enhancers to repress transcription through chromatin-linked mechanisms. Our comparative phylogenetic study shows that CtBP is a bilaterian innovation whose CTD of about 100 residues is present in almost all orthologs. CtBP CTDs contain conserved blocks of residues and retain a predicted disordered property, despite having variations in the primary sequence. Interestingly, the structure of the C-terminus has undergone radical transformation independently in certain lineages including flatworms and nematodes. Also contributing to CTD diversity is the production of myriad alternative RNA splicing products, including the production of “short” tailless forms of CtBP in Drosophila. Additional diversity stems from multiple gene duplications in vertebrates, where up to five CtBP orthologs have been observed. Vertebrate lineages show fewer major modifications in the unstructured CTD, possibly because gene regulatory constraints of the vertebrate body plan place specific constraints on this domain. Our study highlights the rich regulatory potential of this previously unstudied domain of a central transcriptional regulator.

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Journal ArticleDOI

Widespread regulatory specificities between transcriptional corepressors and enhancers in Drosophila

TL;DR: In this paper , the authors used functional genomics to uncover regulatory specificities between co-repressors and enhancers, revealing the existence of TF motif-based regulatory rules that coordinate CoRs-enhancer compatibilities.
Journal ArticleDOI

Off the deep end: What can deep learning do for the gene expression field?

TL;DR: DeepSTarr as discussed by the authors is a machine learning method that uses neural networks to learn complex rules that make predictions about diverse types of data, and their high prediction accuracy allows the identification of impactful genetic variants within and across species.
Posted ContentDOI

A regulatory role for the unstructured C-terminal domain of the CtBP transcriptional corepressor

TL;DR: In this paper , the C-terminal binding protein (CTD) was investigated in the Drosophila melanogaster system to study the functional significance of the CTD.
References
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Journal ArticleDOI

MUSCLE: multiple sequence alignment with high accuracy and high throughput

TL;DR: MUSCLE is a new computer program for creating multiple alignments of protein sequences that includes fast distance estimation using kmer counting, progressive alignment using a new profile function the authors call the log-expectation score, and refinement using tree-dependent restricted partitioning.
Journal ArticleDOI

trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses

TL;DR: TrimAl is a tool for automated alignment trimming, which is especially suited for large-scale phylogenetic analyses and can automatically select the parameters to be used in each specific alignment so that the signal-to-noise ratio is optimized.
Journal ArticleDOI

A gene complex controlling segmentation in Drosophila.

TL;DR: The wild-type and mutant segmentation patterns are consistent with an antero-posterior gradient in repressor concentration along the embryo and a proximo-distal gradient along the chromosome in the affinities for repressor of each gene's cis-regulatory element.
Journal ArticleDOI

Sequence and structure-based prediction of eukaryotic protein phosphorylation sites.

TL;DR: An artificial neural network method is presented that predicts phosphorylation sites in independent sequences with a sensitivity in the range from 69 % to 96 % and predicts novel phosphorylated sites in the p300/CBP protein that may regulate interaction with transcription factors and histone acetyltransferase activity.
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