Biology subjects

Kawaji, H.

Publications and source records attributed to Kawaji, H..

5 recordsLinked to original sources

bioRxiv2018

dirHub: a trackHub configurator with directory structure projection

SummaryTrack Data Hub is a mechanism enabling us to visualize genomics data as tracks along genome coordinates and share them over the Internet, relying on a web server hosting data files and genome browsers offering graphical representations. It requires an accessible configuration file specifying all graphical parameters and track hierarchy, in addition to the data files. Here dirHub is developed to assist generation of the configuration file by projection of a file directory structure, which makes it possible to set up trackHub visualization mostly by file operations.\n\nAvailability and implementationIt is implemented in ruby and the source code is available at https://github.com/hkawaji/dirHub/. It is tested on the UCSC Genome Browser and the Hub Track Database Definition (v2).

bioinformatics↗

bioRxiv2018

Selective activation of alternative MYC core promoters by Wnt-responsive enhancers

In Metazoans, transcription of most genes is driven through the use of multiple alternative promoters. Although the precise spatio-temporal regulation of alternative promoters is important for proper gene expression, the mechanism that mediates their differential utilization remains unclear. Here, we investigate how the two alternative promoters (P1, P2) that drive MYC expression are regulated. We find that P1 and P2 can be differentially regulated across cell-types, and that their selective usage is largely mediated by distal regulatory sequences. Moreover, we show that in the colon carcinoma cell line HCT-116, Wnt-responsive enhancers preferentially upregulate transcription from the P1 promoter using both transgenic reporter assays and in the context of the endogenous Myc locus upon Wnt induction. In addition, multiple enhancer deletions using CRISPR/Cas9 corroborate the regulatory specificity of P1. Finally, we show that preferential activation between Wnt-responsive enhancers and the P1 promoter is influenced by distinct core promoter elements present in the two MYC promoters. Taken together, our results provide new insights into how enhancers can specifically target alternative promoters and suggest that formation of these selective interactions could allow more diverse combinatorial regulation of transcription initiation.

genetics↗

bioRxiv2018

Integrative analysis of transcription factor occupancy at enhancers and disease risk loci in noncoding genomic regions

Noncoding regions of the human genome possess enhancer activity and harbor risk loci for heritable diseases. Whereas the binding profiles of multiple transcription factors (TFs) have been investigated, integrative analysis with the large body of public data available so as to provide an overview of the function of such noncoding regions has remained a challenge. Here we have fully integrated public ChIP-seq and DNase-seq data (n ~ 70,000), including those for 743 human transcription factors (TFs) with 97 million binding sites, and have devised a data- mining platform --designated ChIP-Atlas--to identify significant TF-genome, TF-gene, and TF-TF interactions. Using this platform, we found that TFs enriched at macrophage or T-cell enhancers also accumulated around risk loci for autoimmune diseases, whereas those enriched at hepatocyte or macrophage enhancers were preferentially detected at loci associated with HDL-cholesterol levels. Of note, we identified \"hotspots\" around such risk loci that accumulated multiple TFs and are therefore candidates for causal variants. Integrative analysis of public chromatin-profiling data is thus able to identify TFs and tissues associated with heritable disorders.

genomics↗

bioRxiv2017

Linking FANTOM5 CAGE Peaks To Annotations With CAGEscan

The FANTOM5 expression atlas is a quantitative measurement of the activity of nearly 200,000 promoter regions across nearly 2,000 different human primary cells, tissue types and cell lines. Generation of this atlas was made possible by the use of CAGE, an experimental approach to localise transcription start sites at single-nucleotide resolution by sequencing the 5' ends of capped RNAs after their conversion to cDNAs. While 50% of CAGE-defined promoter regions could be confidently associated to adjacent transcriptional units, nearly 100,000 promoter regions remained gene-orphan. To address this, we used the CAGEscan method, in which random-primed 5'-cDNAs are paired-end sequenced. Pairs starting in the same region are assembled in transcript models called CAGEscan clusters. Here, we present the production and quality control of CAGEscan libraries from 56 FANTOM5 RNA sources, which enhances the FANTOM5 expression atlas by providing experimental evidence associating core promoter regions with their cognate transcripts.

genomics↗

bioRxiv2016

Shared activity patterns arising at genetic susceptibility loci reveal underlying genomic and cellular architecture of human disease.

Genetic variants underlying complex traits, including disease susceptibility, are enriched within the transcriptional regulatory elements, promoters and enhancers. There is emerging evidence that regulatory elements associated with particular traits or diseases share patterns of transcriptional regulation. Accordingly, shared transcriptional regulation (coexpression) may help prioritise loci associated with a given trait, and help to identify the biological processes underlying it. Using cap analysis of gene expression (CAGE) profiles of promoter and enhancer-derived RNAs across 1824 human samples, we have quantified coexpression of RNAs originating from trait-associated regulatory regions using a novel analytical method (network density analysis; NDA). For most traits studied, sequence variants in regulatory regions were linked to tightly coexpressed networks that are likely to share important functional characteristics. These networks implicate particular cell types and tissues in disease pathogenesis; for example, variants associated with ulcerative colitis are linked to expression in gut tissue, whereas Crohns disease variants are restricted to immune cells. We show that this coexpression signal provides additional independent information for fine mapping likely causative variants. This approach identifies additional genetic variants associated with specific traits, including an association between the regulation of the OCT1 cation transporter and genetic variants underlying circulating cholesterol levels. This approach enables a deeper biological understanding of the causal basis of complex traits.\n\nONE SENTENCE SUMMARYWe discover that variants associated with a specific disease share expression profiles across tissues and cell types, enabling fine mapping and identification of new disease-associated variants, illuminating key cell types involved in disease pathogenesis.

genomics↗