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Yamamoto, K. R.

Publications and source records attributed to Yamamoto, K. R..

5 recordsLinked to original sources

The Binding Landscape of an Essential Nuclear Hormone Receptor in C. elegans

Transcription factors (TFs) control gene expression by binding to response elements but distinguishing functional binding sites from non-functional ones remains a major challenge in the field of transcriptional regulation. To probe transcription factor binding and function in a multicellular organism we characterized the binding and transcriptional landscape of NHR-25, a highly-conserved and essential transcription factor in C. elegans. Using CRISPR/Cas9, we tagged the essential nuclear hormone receptor, nhr-25, with GFP and FLAG at its endogenous locus in C. elegans and performed ChIP-seq. We found that NHR-25 binds with two distinct modes: proximal promoter binding and distal enhancer-type binding. Motif analysis of the ChIP-seq peaks showed that the NHR-25 binding motif depended on chromatin context and identified additional enriched motifs, suggesting other putative regulatory partners at composite response elements. By combining ChIP-seq with conditional RNAi knockdown, we characterized nhr-25s transcriptome and identified putative direct targets of NHR-25 binding. Through an 11-bp mutation of the summit of an identified NHR-25 occupied region, we demonstrated that a single response element was responsible for regulating the expression of multiple genes. Our findings provide a comprehensive view of an essential transcription factors functional binding landscape at native protein levels, highlighting the intricate nature of response element logic and demonstrating the critical role of a single regulatory element in regulating gene expression.

genomics↗

Glucocorticoid receptor collaborates with pioneer factors and AP-1 to execute genome-wide regulation

AO_SCPLOWBSTRACTC_SCPLOWThe glucocorticoid receptor (GR) regulates transcription through binding to specific DNA motifs, particularly at enhancers. While the motif to which it binds is constant across cell types, GR has cell type-specific binding at genomic loci, resulting in regulation of different genes. The presence of other bound transcription factors (TFs) is hypothesized to strongly influence where GR binds. Here, we addressed the roles of other TFs in the glucocorticoid response by comparing changes in GR binding and nascent transcription at promoters and distal candidate cis-regulatory elements (CCREs) in two distinct human cancer cell types. We found that after glucocorticoid treatment, GR binds to thousands of genomic loci that are primarily outside of promoter regions and are potentially enhancers. The majority of these GR binding sites are cell-type specific, and they are associated with pioneer factor binding. A small fraction of GR occupied regions (GORs) displayed increased bidirectional nascent transcription, which is a characteristic of many active enhancers, after glucocorticoid treatment. Non-promoter GORs with increased transcription were specifically enriched for AP-1 binding prior to glucocorticoid treatment. These results support a model of transcriptional regulation in which multiple classes of TFs are required. The pioneer factors increase chromatin accessibility, facilitating the binding of GR and additional factors. AP-1 binding poises a fraction of accessible sites to be rapidly transcribed upon glucocorticoid-induced GR binding. The coordinated activity of multiple TFs then results in cell type-specific changes in gene expression. We anticipate that many models of inducible gene expression also require multiple distinct TFs that act at multiple steps of transcriptional regulation.

genomics↗

Genetic exploration of a nuclear receptor transcriptional regulatory complex

Metazoan transcriptional regulatory factors (TFs) bind to genomic response elements and assemble with co-regulators into transcriptional regulatory complexes (TRCs) whose composition, structure and activities are gene-, cell- and physiological-context specific. Each TRC is a "regulatory logic module," integrating incoming signaling information, which defines context and thereby recruits a distinct combination of co-regulators that together specify outgoing regulatory activity. Analyzing TRCs unique to every context is daunting, yet justified by their properties as self-contained regulatory modules. As proof-of-concept, we performed a forward genetic screen in C. elegans carrying a synthetic simple response element for nuclear receptor NHR-25 upstream of a fluorescent reporter gene. We isolated independent mutations in uba-2, a component of the sumoylation signaling machinery, and in lir-2, which we demonstrated to be a novel co-regulator, interacting with NHR-25 through LxxLL motifs and modulating target gene expression. Our studies establish that an unbiased genetic screen readily identifies both afferent and efferent components that specify TRC function, and suggest that screening natural response elements of interest could illuminate molecular mechanisms of both context-specificity and transcriptional regulation.

genetics↗

Definition of alleles and altered regulatory motifs across Cas9-edited cell populations

BackgroundGenetic alteration of candidate response elements at their native chromosomal loci is the only valid determinant of their potential transcriptional regulatory activities. Targeted DNA cleavage by Cas9 coupled with cellular repair processes can produce arrays of alleles that can be defined by massively parallel sequencing by synthesis (SBS), presenting an opportunity to generate and survey edited cell populations that include informative alterations. Such editing efforts commonly rely on subclonal enrichment to isolate cells with preferred genotypic properties at target loci; short nucleotide adducts (indices/barcodes) allow PCR-amplified molecules from diverse sample sources to be pooled, sequenced, and demultiplexed to resolve source-specific content. Not widely available, however, are capabilities for barcoding thousands of clones, or for automated analysis of individual candidate regulatory loci PCR-amplified and sequenced from a genetically heterogeneous population--specifically, imputation of discrete genotype(s) by allele definition and abundance, and identification of altered regulatory factor binding motifs.\n\nResultsWe describe a panel of 192 8-nucleotide barcode primers compatible with Illumina(R) sequencing platforms, and the application of these barcodes to genotypic analysis of Cas9-edited clones. Permutations of the ninety-six i7 (read 1) and ninety-six i5 (read 2) barcodes allow unique labeling of up to 9,216 distinct samples. We created three independent Python scripts: SampleSheet.py automates construction of Illumina(R) Sample Sheets encoding up to 9,216 barcode:sample relationships; ImputedGenotypes.py defines alleles and imputes genotypes from demultiplexed fastq files; CollatedMotifs.py flags transcription factor recognition motif matches altered in alleles relative to a reference sequence.\n\nConclusionsCode-enabled definition of alleles and regulatory motifs in sequenced, demultiplexed amplicons facilitates evaluation of genetic diversity in up to 9,216 distinct samples. Here, we demonstrate the utility of three scripts in analysis of cell populations targeted by Cas9 for disruption of glucocorticoid receptor (GR) binding sites near FKBP5, a GR-regulated gene in the human adenocarcinoma cell line A549. SampleSheet.py, ImputedGenotypes.py, and CollatedMotifs.py operate independently and are broadly applicable beyond the case described here.

molecular biology↗

The glucocorticoid receptor ligand-binding domain confers drug-gated protein regulation in C. elegans

Controlling protein activity and localization is a key tool in modern biology. Mammalian steroid receptor ligand-binding domains (LBDs) fusions have been used in a range of organisms and cell-types to inactivate proteins of interest until the cognate steroid ligand is applied. Here, we demonstrate that the glucocorticoid receptor LBD confers ligand-gated control of a heterologous gene expression system (Q system) and the DAF-16 transcription factor in C. elegans. These experiments demonstrate provide a powerful tool for temporal control of protein activity, and will bolster existing tools used to modulate gene expression and protein activity in this animal.

genetics↗