Ontology highlight
ABSTRACT:
PROVIDER: PRJNA936932 | ENA |
REPOSITORIES: ENA
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Project description:Full length transcriptome sequencing of Sambucus chinensis L.
| PRJNA961891 | ENA
Project description:We reported the application of high-throughput sequencing technology (RNA-seq) for the transcriptome of T. chinensis cells and the transcriptional alternatives of that responded to MeJA were comprehensively and quantitatively assessed with high-throughput sequencing technology (RNA-seq). By sequencing > 29 million reads (200 bp in length) of cDNA from each of MeJA-treated T. chinensis cells at 16 h (T16) and the control (T0), we identified 46,581 transcripts and uncovered 13,469 genes differentially expressed in response to MeJA. We provided functional clues for understanding the regulation mechanisms of MeJA-mediated defense responses and taxol biosynthesis.
2012-11-16 | GSE28539 | GEO
Project description:Deregulated gene expression is a hallmark of cancer, however most studies to date have analyzed short-read RNA-sequencing data with inherent limitations. Here, we combine PacBio long-read isoform sequencing (Iso-Seq) and Illumina paired-end short read RNA sequencing to comprehensively survey the transcriptome of gastric cancer (GC), a leading cause of global cancer mortality. We performed full-length transcriptome analysis across 10 GC cell lines covering four major GC molecular subtypes (chromosomal unstable, Epstein-Barr positive, genome stable and microsatellite unstable). We identify 60,239 non-redundant full-length transcripts, of which >66% are novel compared to current transcriptome databases. Novel isoforms are more likely to be cell-line and subtype specific, expressed at lower levels with larger number of exons, with longer isoform/coding sequence lengths. Most novel isoforms utilize an alternate first exon, and compared to other alternative splicing categories are expressed at higher levels and exhibit higher variability. Collectively, we observe alternate promoter usage in 25% of detected genes, with the majority (84.2%) of known/novel promoter pairs exhibiting potential changes in their coding sequences. Mapping these alternate promoters to TCGA GC samples, we identify several cancer-associated isoforms, including novel variants of oncogenes. Tumor-specific transcript isoforms tend to alter protein coding sequences to a larger extent than other isoforms. Analysis of outcome data suggests that novel isoforms may impart additional prognostic information. Our results provide a rich resource of full-length transcriptome data for deeper studies of GC and other gastrointestinal malignancies.
2021-02-02 | PXD023373 | Pride