Biology subjects

Cohen, B. A.

Publications and source records attributed to Cohen, B. A..

24 records · Page 2Linked to original sources

bioRxiv2021

Genomic environments scale the activities of diverse core promoters

A classical model of gene regulation is that enhancers provide specificity while core promoters provide a modular site for the assembly of the basal transcriptional machinery. However, examples of core promoter specificity have led to an alternate hypothesis in which specificity is achieved by core promoters with different sequence motifs that respond differently to genomic environments containing different enhancers and chromatin landscapes. To distinguish between these models, we measured the activities of hundreds of diverse core promoters in four different genomic locations and, in a complementary experiment, six different core promoters at thousands of locations across the genome. While genomic locations had large effects on expression, the intrinsic activities of different classes of promoters were preserved across genomic locations, suggesting that core promoters are modular regulatory elements whose activities are independently scaled up or down by different genomic locations. This scaling of promoter activities is non-linear and depends on the genomic location and the strength of the core promoter. Our results support the classical model of regulation in which diverse core promoter motifs set the intrinsic strengths of core promoters, which are then amplified or dampened by the activities of their genomic environments.

systems biology↗

bioRxiv2021

Information Content Differentiates Enhancers From Silencers in Mouse Photoreceptors

Enhancers and silencers often depend on the same transcription factors (TFs) and are conflated in genomic assays of TF binding or chromatin state. To identify sequence features that distinguish enhancers and silencers, we assayed massively parallel reporter libraries of genomic sequences targeted by the photoreceptor TF CRX in mouse retinas. Both enhancers and silencers contain more TF motifs than inactive sequences, but relative to silencers, enhancers contain motifs from a more diverse collection of TFs. We developed a measure of information content that describes the number and diversity of motifs in a sequence and found that, while both enhancers and silencers depend on CRX motifs, enhancers have higher information content. The ability of information content to distinguish enhancers and silencers targeted by the same TF illustrates how motif context determines the activity of cis-regulatory sequences.

systems biology↗

bioRxiv2020

Human transcriptional activation domains require hydrophobic and acidic residues

Acidic activation domains are intrinsically disordered regions of transcription factors that bind coactivators. The intrinsic disorder and low conservation of activation domains have made it difficult to identify general rules governing their function. To address this problem, we designed thousands of variants in seven acidic activation domains and measured their activities with a new high-throughput assay in human cell culture. From these data we identify three design principles of acidic activation domains: hydrophobic motifs must be balanced by acidic residues; acidic residues make large contributions to activity when they are adjacent to motifs; and motif composition reflects the structural constraints of coactivator interactions. These design principles motivated a simple predictor of activation domains in the human proteome: scanning for clusters of aromatic and leucine residues embedded in regions of high acidity identifies known activation domains and accurately predicts new ones. Our results support a flexible model in which acidic residues solubilize hydrophobic motifs so that they can interact with coactivators.

systems biology↗

bioRxiv2018

CLIP-Seq and massively parallel functional analysis of the CELF6 RNA binding protein reveals a role in destabilizing synaptic gene mRNAs through interaction with 3’UTR elements in vivo

CELF6 is a RNA-binding protein in a family of proteins with roles in human health and disease, however little is known about the mRNA targets or in vivo function of this protein. We utilized CLIP-Seq to identify, for the first time, in vivo targets of CELF6 and identify hundreds of transcripts bound by CELF6 in the brain. We found these are disproportionately mRNAs coding for synaptic proteins. We then conducted functional validation of these targets, testing greater than 400 CELF6 bound sequence elements for their activity, applying a massively parallel reporter assay framework to evaluation of the CLIP data. We also mutated potential binding motifs within these elements and tested their impact. This comprehensive analysis led us to ascribe a previously unknown function to CELF6: we found bound elements were generally repressive of translation, that CELF6 further enhances this repression via decreasing RNA abundance, and this process was dependent on UGU-rich sequence motifs. This greatly extends the known role for CELF6, which had previously been defined only as a splicing factor. We further extend these findings by demonstrating the same function for CELF3, CELF4, and CELF5. Finally, we demonstrate that the CELF6 targets are derepressed in CELF6 mutant mice in vivo, confirming this new role in the brain. Thus, our study demonstrates that CELF6 and other sub-family members are repressive CNS RNA-binding proteins, and CELF6 downregulates specific mRNAs in vivo.

molecular biology↗

bioRxiv2018

Synthetic and genomic regulatory elements reveal aspects of cis-regulatory grammar in Mouse Embryonic Stem Cells

In embryonic stem cells (ESCs), a core network of transcription factors establish and maintain the gene expression program necessary to grow indefinitely in cell culture and generate all three primary germ layers. To understand how interactions between four key pluripotency transcription factors (TFs), SOX2, POU5F1 (OCT4), KLF4, and ESRRB, contribute to cis-regulation in mouse ESCs, we assayed two massively parallel reporter assay (MPRA) libraries composed of different combinations of binding sites for these TFs. One library was an exhaustive set of synthetic cis-regulatory elements and the second was a set of genomic sequences with comparable configurations of binding sites. Comparisons between the libraries allowed us to determine the regulatory grammar requirements for these binding sites in constrained synthetic contexts versus genomic sequence contexts. We found that binding site quality is a common attribute for active elements in both the synthetic and genomic contexts. For synthetic regulatory elements, the level of expression is mostly determined by the number of binding sites but is tuned by a grammar that includes position effects. Surprisingly, this grammar appears to only play a small role in setting the output levels of genomic sequences. The relative activity of genomic sequences is best explained by the predicted affinity of binding sites, regardless of identity, and optimized spacing between sites. Our findings highlight the need for detailed examinations of complex sequence space when trying to understand cis-regulatory grammar in the genome.

genomics↗

bioRxiv2017

A deep mutational scan of an acidic activation domain

Transcriptional activation domains are intrinsically disordered peptides with little primary sequence conservation. These properties have made it difficult to identify the sequence features that define activation domains. For example, although acidic activation domains were discovered 30 years ago, we still do not know what role, if any, acidic residues play in these peptides. To address this question we designed a rational mutagenesis scheme to independently test four sequence features theorized to control the strength of activation domains: acidity (negative charge), hydrophobicity, intrinsic disorder, and short linear motifs. To test enough mutants to deconvolve these four features we developed a method to quantify the activities of thousands of activation domain variants in parallel. Our results with Gcn4, a classic acidic activation domain, suggest that acidic residues in particular regions keep two hydrophobic motifs exposed to solvent. We also found that the specific activity of the Gcn4 activation domain increases during amino acid starvation. Our results suggest that Gcn4 may have evolved to have low activity but high inducibility. Our results also demonstrate that high-throughput rational mutation scans will be powerful tools for unraveling the properties that control how intrinsically disordered proteins function.

systems biology↗