TIGER-LC OncoVar Exome Sequencing
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA340045 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:<p>Intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC) are clinically disparate primary liver cancers with etiological and biological heterogeneity. We performed targeted sequencing of Thai ICC and HCC among the Thailand Initiative in Genomics and Expression Research for Liver Cancer (TIGER-LC) cohort using the OncoVar platform.</p>
| phs001199 | dbGaP
Project description:Raw data of exome sequencing of 17 paired samples and 1 orphan tumor sample, total 18 samples
2022-02-12 | E-MTAB-9766 | biostudies-arrayexpress
Project description:Chromatium okenii LC strain:LC Genome sequencing
| PRJNA230878 | ENA
Project description:The raw data consist of whole exome sequencing data of cervical squamous samples
2022-02-11 | E-MTAB-11407 | biostudies-arrayexpress
Project description:Sequencing of ponatinib-resistant LC-2/ad derivatives (PR1 and PR2) and parental LC-2/ad cells was performed in order to determine mechanisms of acquired resistance in the PR1 and PR2 cell lines. NRAS p.Q61K mutation identified in PR1 cells. Upregulation of wild-type EGFR signaling identified in PR2 cells.
2017-04-21 | GSE98030 | GEO
Project description:Whole-exome sequencing of induced murine squamous cell carcinoma. 26 samples are included.
2014-09-11 | E-MTAB-2887 | biostudies-arrayexpress
Project description:Background: Whole exome sequencing (WES) has been proven to serve as a valuable basis for various applications such as variant calling and copy number variation (CNV) analyses. For those analyses the read coverage should be optimally balanced throughout protein coding regions at sufficient read depth. Unfortunately, WES is known for its uneven coverage within coding regions due to GC-rich regions or off-target enrichment. Results: In order to examine the irregularities of WES within genes, we applied Agilent SureSelectXT exome capture on human samples and sequenced these via Illumina in 2x101 paired-end mode. As we suspected the sequenced insert length to be crucial in the uneven coverage of exome captured samples, we sheared 12 genomic DNA samples to two different DNA insert size lengths, namely 130 and 170 bp. Interestingly, although mean coverages of target regions were clearly higher in samples of 130 bp insert length, the level of evenness was more pronounced in 170 bp samples. Moreover, merging overlapping paired-end reads revealed a positive effect on evenness indicating overlapping reads as another reason for the unevenness. In addition, mutation analysis on a subset of the samples was performed. In these isogenic subclones almost twofold mutations were failed in the 130 bp samples when compared to the 170 bp samples. Visual inspection of the discarded mutation sites exposed low coverages at the sites embedded in high amplitudes of coverage depth in the affected region. Conclusions: Producing longer insert reads could be a good strategy to achieve better uniform read coverage in coding regions and hereby enhancing the effective sequencing yield to provide an improved basis for further variant calling and CNV analyses.
2016-07-28 | E-MTAB-4527 | biostudies-arrayexpress
Project description:Whole exome sequencing of a cell line derived from an Rb1 and Trp53 genetically engineered mouse model (GEMM) to assess the baseline copy number landscape of the cells prior to experimental modification.
2019-07-09 | E-MTAB-7412 | biostudies-arrayexpress
Project description:Of the multiple anatomical sites represented in oral cancer, squamous cell carcinoma of the tongue (TSCC) shows the highest incidence among younger age group. Chewing betel leaf, areca nut & slaked lime and smoking tobacco are common practises in India which have direct clinical implication in TSCC carcinogenesis. Here, for the first time we define the landscape of genomic alterations in TSCC from the Indian diaspora which would help to identify novel therapeutic targets for clinical intervention and define the genetic basis for TSCC. We performed high throughput sequencing of fifty four tongue samples using whole exome sequencing (n=47, 23 paired normal tumor and 1 unpaired) and transcriptome sequencing (n=17, 10 tumor and 5 normal). Mutation, copy number analysis were carried out using exome sequencing data and transcriptome analysis provided expressed genes and transcript fusions in tongue cancer patients. Further, integrated analysis were performed to identify biologically relevant alterations. Our preliminary analysis revealed presence of most frequently altered mutations in TSCC which includes mutations in TP53, NOTCH1, CDKN2A, USP6, KMT2D etc, consistent with literature. We observed high frequency of CG/T(GC/A) transversions in non-CpG islands, a signature associated with tobacco exposure. Somatic copy number analysis revealed copy number gain in known hallmarks such as CCND1, MYC, ORAOV1 genes along with copy number alteration in novel genes. Significant positive correlation was observed in the genes harbouring copy number gains and showing increased expression.
2018-05-31 | E-MTAB-4653 | biostudies-arrayexpress