Comprehensive transcriptome analysis in human liver
Ontology highlight
ABSTRACT: The complexity of transcriptome in human liver has not been clarified quite clearly so far. Here we collect various types of liver samples, including primary tumor, relapse tumor, benign adjacent, normal liver and tumor cell lines.High-throughput RNA sequecing data was generated for each sample.We assembled transcripts from these data under the guidance of GENCODE transcript annotation (v22).After the assembly, 94,272 genes and 371,388 transcripts were identified. Furthermore, we identified alternative splicing events from these genes and transcripts.
Project description:The complexity of transcriptome in human gallbladder has not been clarified quite clearly so far. Here we collect 20 pairs of gallbladder samples.High-throughput RNA sequecing data was generated for each sample.We characterize the linear and circular transcripts.
Project description:We used the Illumina Infinium MethylationEPIC to measure DNA methylation in mouse liver samples. We identified 13,665 conserved probes and compared methylation signal with sequecing based data (MBD-seq and RRBS)
Project description:As part of the ENCODE consortium the GENCODE project is producing a reference gene set through manual and automated gene prediction. In the current phase of ENCODE we have found strong evidence that many lncRNAs transcript termini are still unknown. This experiment aims to set up an experimental validation strategy to accurately determine the 5' and 3' ends of transcripts, which is based on semi-nested RACE extensions of annotated 5' and 3' ends followed by high throughput sequencing. A total of 400 highly expressed lncRNA transcript models from Gencode 7 which did not have any CAGE/PET support were selected as the test set whereas 25 transcripts with transcript start site (TSS) supported by CAGE tags and transcript termination site (TTS) supported by PET ditags formed the positive control set. Transcript ends were amplified by RACE-PCR from RNA samples from five different tissues (heart, kidney, liver, lung and spleen) and sequenced using the Roche 454 platform. The sequencing was performed at the Andalusian Human Genome Sequencing Centre (CASEGH), Seville, Spain.
Project description:H3K27ac paired-end NanoChIP-seq, whole-genome sequecing, RNA-seq and Hi-C were integrated to reveal tumor-associated structural variants contributing to gastric cancer
Project description:H3K27ac paired-end NanoChIP-seq, whole-genome sequecing, RNA-seq and Hi-C were integrated to reveal tumor-associated structural variants contributing to gastric cancer
Project description:H3K27ac paired-end NanoChIP-seq, whole-genome sequecing, RNA-seq and Hi-C were integrated to reveal tumor-associated structural variants contributing to gastric cancer