In vitro transcription start sites (TSSs) determined by 5'-RACE
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ABSTRACT:
ORGANISM(S): Saccharomyces cerevisiae
PROVIDER: GSE93669 | GEO | 2017/01/17
SECONDARY ACCESSION(S): PRJNA361496
REPOSITORIES: GEO
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Project description:We addressed the lack of experimentally supported transcript annotations in the Rhesus macaque genome by ab initio identification of the transcription start sites (TSSs). We took advantage of histone H3 lysine 4 trimethylation (H3K4me3)'s ability to mark TSSs and the recently developed ChIP-Seq and RNA-Seq technology to survey the transcript structures in the macaque brain. We then integrated the two types of our newly generated data with genomic sequence features and extended a TSS prediction algorithm to ab initio predict and verify 16,833 of previously electronically annotated transcription start sites at 500 bp resolution and predicted ~10,000 new TSSs.
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Project description:We addressed the lack of experimentally supported transcript annotations in the Rhesus macaque genome by ab initio identification of the transcription start sites (TSSs). We took advantage of histone H3 lysine 4 trimethylation (H3K4me3)'s ability to mark TSSs and the recently developed ChIP-Seq and RNA-Seq technology to survey the transcript structures in the macaque brain. We then integrated the two types of our newly generated data with genomic sequence features and extended a TSS prediction algorithm to ab initio predict and verify 16,833 of previously electronically annotated transcription start sites at 500 bp resolution and predicted ~10,000 new TSSs. We took advantage of histone H3 lysine 4 trimethylation (H3K4me3)M-bM-^@M-^Ys ability to mark transcription start sites (TSSs) and the recently developed ChIP-Seq and RNA-Seq technology to survey the transcript structures. By integrating the ChIP-seq, RNA-seq and small RNA-seq data (previously uploaded to GEO as GSM450615 by our collaborator) with genomic sequence features and extending and improving a state-of-the-art TSS prediction algorithm, we ab initio predicted and verified previously electronically annotated TSSs at a high resolution, and predicted some novel TSSs.
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Project description:The alphaproteobacteria have metabolic activities and lifestyles of societal and industrial importance that differ from those in many other bacteria. Here we report the genome-wide identification of transcription start sites (TSSs) from two alphaproteobacteria grown under conditions that result in significant changes in gene expression. TSSs that were identified as present in one condition or both will be an important resource for future studies of these, and possibly other, alphaproetobacteria.
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Project description:BruUV-seq utilizes UV light to introduce transcription-blocking DNA lesions randomly in the genome prior to bromouridine-labeling and deep sequencing of nascent RNA. By inhibiting transcription elongation, but not initiation, pre-treatment with UV light leads to a redistribution of transcription reads resulting in the enhancement of nascent RNA signal towards the 5′-end of genes promoting the identification of transcription start sites (TSSs). Furthermore, transcripts associated with arrested RNA polymerases are protected from 3′–5′ degradation and thus, unstable transcripts such as putative enhancer RNA (eRNA) are dramatically increased. Validation of BruUV-seq against GRO-cap that identifies capped run-on transcripts showed that most BruUV-seq peaks overlapped with GRO-cap signal over both TSSs and enhancer elements. Finally, BruUV-seq identified putative enhancer elements induced by tumor necrosis factor (TNF) treatment concomitant with expression of nearby TNF-induced genes. Taken together, BruUV-seq is a powerful new approach for identifying TSSs and active enhancer elements genome-wide in intact cells.
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Project description:miRNAs are key post-transcriptional regulators of gene expression. However, it is still poorly understood how miRNAs themselves are regulated, mainly due to the sparse annotation of miRNA transcription start sites (TSSs). Here, we developed a novel method for identifying active miRNA TSSs from nascent transcriptomes generated by nuclear run-on sequencing. With the least data requirement, our method demonstrated better performance than existing methods. Moreover, it provided ways not only to recognize miRNA TSSs but also to quantify primary miRNA expression in one experiment, which is very useful for revealing miRNAs directly regulated by the regulator(s) of interest.
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Project description:Transcription from alternative transcription start sites (TSSs) is prevalent among mammalian genes and has important biological functions. However, how TSSs are selected remains elusive. We identified 87 genes with altered TSS usage (ATU) in Piwi-deficient Drosophila ovaries using the cap-analysis gene expression sequencing (CAGE-seq) method. Piwi regulates TSS usage of ATU genes in germ cells and somatic cells in ovaries as well as in cultured ovarian somatic cells (OSCs). Correspondingly, RNA Pol II initiation and elongation at TSSs of ATU genes were affected in germline-piwi-knockdown ovaries and piwi-knockdown OSCs. We identified a FACT complex component, Ssrp, as a novel interactor of Piwi in the nucleus. Temporally controlled knockdown of ssrp affected TSS usage of ATU genes whereas overexpression of ssrp partially rescued the TSS usage of ATU genes in piwi mutant ovaries. Thus, Piwi may interact with Ssrp to regulate TSS usage in Drosophila ovaries by affecting Pol II initiation and elongation.
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