Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: targeted-capture sequence in HCC

PROVIDER: PRJNA491637 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR7867990_1.fastq.gz	Fastqsanger.gz
	SRR7867990_2.fastq.gz	Fastqsanger.gz
	SRR7868000_1.fastq.gz	Fastqsanger.gz
	SRR7868000_2.fastq.gz	Fastqsanger.gz
	SRR7868010_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 121

Similar Datasets

Promoter methylome and integrative transcriptome profiling identify key epigenetics-regulated genes in human HCCs [methylation]

Project description:Hepatocellular carcinoma (HCC) is one of the most common and lethal cancers worldwide and has a poor prognosis. Promoters represent an essential regulatory element of gene transcription in the human genome. In order to understand the promoter methylation in relation with gene transcription in HCCs, we applied a liquid hybridization capture-based bisulfite sequencing (LHC-BS) approach to examine the promoter methylome of HCCs, for which we customized 150,407 capture probes and enabled coverage of 91.8% of the RefSeq gene promoters within the human genome. We found the differential promoter DNA methylation between HCCs and peripheral normal tissues. Then we integrated promoter methylomic and transcriptomic profiling and described gene expression and regulation in HCCs. Lastly, we validated the key genes in a larger number of samples and screened candidate genes aberrantly regulated by DNA methylation in human HCCs. Capture-based whole genome promoter bisulfite-seq for 8 pairs of HCC tumor and non-tumor liver (NTL) samples.

2014-07-01 | E-GEOD-55752 | biostudies-arrayexpress

Highly efficient genomic enrichment of human exonic sequences through short-fragment libraries

Project description:Microarray-based enrichment of selected genomic loci is a powerful method for genome complexity reduction. Since the vast majority of exons in vertebrate genomes are smaller than 150 nt, we have explored the use of short fragment libraries (85-110bp) to achieve higher enrichment specificity by reducing carryover and adverse effects of flanking intronic sequences. These short fragment libraries were enriched for 1.69 Mb of exonic sequences, using custom 244K microarrays, and sequenced using AB/SOLiD. High enrichment specificity (60 M-bM-^@M-^S 75%) was obtained at 67-213x average coverage, with 77-92% and 90-98% of targeted regions covered with more than 25% and 10% of the average coverage, respectively. As a more appropriate measure of the evenness of coverage, which is relatively independent of sequencing depth, we introduce the evenness of coverage parameter E. E values up to 75% were achieved. To verify the accuracy of SNP/mutation detection we evaluated 384 known non-reference SNPs in the targeted regions. At ~ 200x average sequence coverage, we were able to survey 96.4% of 1.69 Mb of genomic sequence with only 4.2% false negative calls while 3.6% of targeted regions were marked as unsurveyed. A total of 1197 new variants were detected. Verification revealed only 8 false positive calls, resulting in an overall false positive rate of less than 1 per ~200,000 bp (0.0005%, equivalent to an overall phred score of 55). 4 samples + capture design file

2010-02-01 | E-GEOD-18542 | biostudies-arrayexpress

CRISPR screens uncover protective effect of PSTK to targeted therapy induced ferroptosis in hepatocellular carcinoma

Project description:Hepatocellular carcinoma (HCC) is one of the most frequent malignancies with extremely poor prognosis. Clinical efficacies of existing targeted therapy strategies were not satisfied due to targeted therapy resistance. In this study, we performed a series of CRISPR/Cas9 screens to identify synthetic lethality genes to improve the clinical response of HCC. CRISPR loss-of-function genetic screens were performed to identify synthetic lethality genes of targeted therapies (Abemaciclib, Palbociclib, Sorafenib, Lenvatinib, Regorafenib and Erastin) in HCC cell lines. RNA-seq analysis were performed to clarify potential mechanism. We identified that inhibition of phosphoseryl-tRNA kinase (PSTK) sensitized HCC cells to targeted therapies. PSTK contributes to resistance of targeted therapy induced ferroptosis.

2022-03-23 | GSE182185 | GEO

An Artificial Interfering lncRNA Mediated by Oncolytic Adenovirus Competitively Consumes OncomiRs to Exert Antitumor Efficacy in Hepatocellular Carcinoma (microRNA)

Project description:The study generated an artificially-designed interfering long non-coding RNA (lncRNAi). The adenovirus-expressed lncRNAi with high level in hepatocellular carcinoma (HCC) cells competes with OncomiR target genes to bind to and consume OncomiRs, thereby achieving the targeted anti-HCC efficacy.

2015-07-21 | GSE71107 | GEO

Gut microbiota analysis associated with hepatocellular carcinoma

Project description:Here we report 16s rRNA data in gut microbiota of hepatocellular carcinoma (HCC) patients with HBV induced HCC (HBVC) and non-HBV induced HCC (NHBVC) compared with healthy volunteers. A total of 2047 operational taxonomic units (OTUs) were identified in the sequence data. Our data shows that the NHBVC patients harbor lower anti-inflammatory bacteria and more pro-inflammatory bacteria, while the HBVC patients harbor more anti-inflammatory bacteria.

2019-02-27 | GSE108847 | GEO

Re-expression of fetal IGF2 as a target for hepatocellular carcinoma therapy

Project description:Non-coding microRNAs (miRNAs) mainly regulate the expression of targeted genes by regulating mRNA degradation or repressing their protein translation. MiRNA microarray profiling was then performed on 218 human HCC tumors samples, 10 samples from adjacent cirrhotic non-tumoral tissue, 10 samples from healthy liver and 12 HCC cell lines. In this study we investigated which miRNAs were differentially expressed in HCC compared to cirrhotic non-tumoral tissue and healthy liver.

2016-11-03 | GSE74618 | GEO

Targeted DNA-seq of Human HepG2 cells following editing with CRISPR/Cas9

Project description:We performed a large-scale genome-wide characterisation of indels generated following editing with CRISPR/Cas9. We used pools of sgRNAs and performed targeted capture and sequencing of the edited regions in HepG2 cells.

2018-12-13 | E-MTAB-7095 | biostudies-arrayexpress

Unbiased Capture Hi-C reveals the potential targets of breast cancer susceptibility loci

Project description:Genome-wide association studies have identified over 70 common variants that are associated with breast cancer risk. Most of these variants map to non-protein-coding regions; several map to gene deserts, regions of several hundred kb lacking protein-coding genes. We hypothesized that gene deserts harbour long-range regulatory elements that can physically interact with target genes to influence their expression. To test this, we developed Capture Hi-C (CHi-C), which by incorporating a sequence capture step into a Hi-C protocol, allows high-resolution analysis of targeted regions of the genome. We used CHi-C to investigate long-range interactions at three breast cancer gene deserts mapping to 2q35, 8q24.21 and 9q31.2. We identified interaction peaks between putative regulatory elements ("bait fragments") within the captured regions and "targets" that included both protein-coding genes and long non-coding (lnc)RNAs, over distances of 6.6 kb to 2.6 Mb. Target protein-coding genes were IGFBP5, KLF4, NSMCE2 and MYC; target lncRNAs included DIRC3, PVT1 and CCDC26. For two gene deserts we were able to define a set of SNPs that were correlated with the published risk variant and that clustered within the bait end of an interaction peak. Preliminary functional analyses implicate one SNP (rs12613955; 2q35) as a potentially functional variant. Capture Hi-C was carried out in BT483, SUM44, and GM06990 cell lines to investigate breast cancer risk loci 2q35, 8q24.21 and 9q31.2.

2014-08-04 | E-GEOD-55634 | biostudies-arrayexpress

Project description:Targeted sequence capture study of Senecioneae (Asteraceae)

| PRJNA672812 | ENA

Project description:Targeted sequence capture study of the Portullugo

| PRJNA387599 | ENA