2a1a57b4-fe82-4006-9a95-29dcabfb7ba6 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001007824 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Whole exome sequencing of 5 HCLc tumor-germline pairs. Genomic DNA from HCLc tumor cells and T-cells for germline was used. Whole exome enrichment was performed with either Agilent SureSelect (50Mb, samples S3G/T, S5G/T, S9G/T) or Roche Nimblegen (44.1Mb, samples S4G/T and S6G/T). The resulting exome libraries were sequenced on the Illumina HiSeq platform with paired-end 100bp reads to an average depth of 120-134x. Bam files were generated using NovoalignMPI (v3.0) to align the raw fastq files to the reference genome sequence (hg19) and picard tools (v1.34) to flag duplicate reads (optical or pcr), unmapped reads, reads mapping to more than one location, and reads failing vendor QC.
2016-02-01 | E-MTAB-4313 | biostudies-arrayexpress
Project description:Whole exome sequencing (fastq files) of 41 pairs (82 samples) of myxofibrosarcoma
| EGAD00001004095 | EGA
Project description:BAM files of waterbuck samples used in PCAngsd
| PRJEB28089 | ENA
Project description:Gene expression profiling assays in precision oncology is increasing with uncertain validity across platforms. In this study, we examined the application of PurIST, a molecular subtyping algorithm for pancreatic ductal adenocarcinoma (PDAC), across different platforms. We compared PurIST calls between matched samples processed by whole transcriptome and commercial exome capture RNA-seq. In parallel, we compared subtypes between matched samples processed by NanoString and whole transcriptome RNA-seq from the PANCREAS trial (NCT04683315). Between whole transcriptome and exome capture, subtype agreement was 81% with significant increase in basal-like subtype with exome capture. Differences in overall survival in patients with basal-like tumors compared to classical tumors did not reach statistical significance using exome capture (log-rank P = 0.061), whereas with whole transcriptome it was significantly shorter (log-rank P < 0.0001). Subtype agreement between whole transcriptome RNA-seq and NanoString was higher at 95%. PurIST results should be interpreted with caution when using exome capture method.
2025-12-15 | GSE313117 | GEO
Project description:Purpose: A method for mapping chromatin accessibility genome-wide, to reveal chromatin accessibility in Intestinal stem cells. Methods: Intestinal stem cells(Lgr5-high cells) were sorted by flow cytometry from wild type mice. The samples were prepared in duplicate. HISAT2 was used to align the sequences to the mouse genome and generate bam files. bamCoverage was used to generate bigwig files from bam files. MACS2 (v2.2.5) was used for peak calling and to generate bed files from aligned reads. Conclusions: ATAC-seq analysis confirmed that Fosb binding sites in Chip-seq assay were correlated with the chromatin accessibility .
2023-04-13 | GSE186916 | GEO
Project description:We performed whole exome sequencing and copy number analysis for 15 triplets, each comprising normal colorectal tissue, primary colorectal carcinoma, and its synchronous matched liver metastasis. We analyzed the similarities and differences between primary colorectal carcinoma and matched liver metastases in regards to somatic mutations and somatic copy number alterationss (SCNAs). The genomic profiling demonstrated mutations in APC(73%), KRAS (33%), ARID1A and PIK3CA (6.7%) genes between primary colorectal and metastatic liver tumors. TP53 mutation was observed in 47% of the primary samples and 67% in liver metastatic samples. The grouped pairs, in hierarchical clustering showed similar SCNA patterns, in contrast to the ungrouped pairs. Many mutations (including those of known key cancer driver genes) were shared in the grouped pairs. The ungrouped pairs exhibited distinct mutation patterns with no shared mutations in key driver genes. Four ungrouped liver metastasis samples had mutations in DNA mismatch repair genes along with hypermutations and a substantial number of copy number of alterations. Genomically, colorectal and metastatic liver tumors were very similar. However, in a subgroup of patients, there were genetic variations in liver metastases in the loss of DNA mismatch repair genes.
2014-03-01 | GSE53799 | GEO
Project description:We established patient-derived cancer cell (PDC) cultures from metastatic non-small cell lung cancer, including two pairs of matched EGFR-mutant PDCs pre-treatment and after resistance to tyrosine-kinase inhibitors (TKIs), and then performed whole-exome and RNA sequencing to delineate their genomic architecture. For validation, we analyzed independent cohorts of primary NSCLC.
2019-12-31 | GSE135164 | GEO
Project description:Despite aggressive multi-modal treatment, advanced head and neck squamous cell carcinoma (HNSCC) patients are at high risk of recurrence. Matched pairs (n=38) of primary/recurrent tumors were subjected to whole exome and RNA sequencing. Mutational landscapes and genomic copy number alterations indicated diverging clonal origins in a subset of cases. Transcriptional subtyping (classical/CL, basal/BA, inflamed-mesenchymal/IMS) in primary and recurrent HNSCC (n=112) revealed more frequent CL and IMS in primary tumors with low recurrence rates and a prevalence of BA in recurrent tumors associated with p-EMT and early recurrence. 44% of matched cases underwent a subtype change from primary to recurrent tumors, preferably from IMS to BA or CL. In recurrences, HYPOXIA, P-EMT and RADIATION RESISTANCE signatures were up- and TUMOR INFLAMMATION down-regulated compared to index tumors. A therapy-induced selection of transcriptional subtypes demonstrates the importance of molecular characterization of recurrences for second-line therapy decisions to enable optimally tailored treatments.
2022-04-08 | GSE173964 | GEO