Ontology highlight
ABSTRACT:
PROVIDER: PRJNA891107 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR21927823_1.fastq.gz | Fastqsanger.gz | |||
| SRR21927823_2.fastq.gz | Fastqsanger.gz | |||
| SRR21927824_1.fastq.gz | Fastqsanger.gz | |||
| SRR21927824_2.fastq.gz | Fastqsanger.gz | |||
| SRR21927825_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 20 |
Similar Datasets
Project description:Purpose: Chronic infection with hepatitis B virus is the leading global risk factor for the development of liver cancer. A large body of research has shown the many effects an HBV infection has on cellular physiology, particularly on pathways that may be involved in the development of HBV-associated diseases. Unfortunately, a significant portion of this research has been done in systems that may not mimic what is seen in a primary hepatocyte, and is not done on a transcriptome-wide scale. Because of this, we performed an RNA-seq analysis of primary rat hepatocytes expressing HBV to determine the global changes HBV has on primary hepatocyte physiology. Methods: To do this RNA-seq analysis, triplicate samples of total RNA were collected from cultured primary rat hepatocytes infected with adenovirus expressing GFP alone (AdGFP) or GFP along with a greater than unit length copy of the HBV genome (AdHBV). Samples were collected either 24h or 48h after infection. cDNA libraries were sequenced two times using the Illumina HiSeq or Illumina NextSeq platform to generate either 1x50bp or 1x75bp reads. Reads from each sequencing run were mapped using the STAR aligner, and output BAMs were merged into a single BAM for each sample. The merged BAM was further analyzed in R using the GenomicAlignments package to quantify number of reads per transcript and DESeq2 to determine differential expression. Reads per kilobase transcript per million total reads (RPKM) was calculated by dividing reads per transcript by the transcript length and then normalizing to the total number of reads in the sample. Results: Following this pipeline, we were able to identify a number of HBV-mediated differentially expressed transcripts at 24h and 48h post-infection. Further pathway analysis of these differentially expressed transcripts identified many important cellular pathways, including those involved with cell cycle regulation and metabolism, as being differentially regulated by HBV in primary hepatocytes. mRNA profiles of HBV-expressing and non-expressing primary rat hepatocytes were generated, in triplicate, 24h and 48h post-infection using Illumina HiSeq 2500 and NextSeq 500 instruments.
2016-01-15 | E-GEOD-66566 | biostudies-arrayexpress
Project description:Genome editing was conducted on a t(3;8) K562 model to investigate the effects of deleting different modules or CTCF binding sites within the MYC super-enhancer. To check mutations after targeting with CRISPR-Cas9 we performed amplicon sequencing using the Illumina PCR-based custom amplicon sequencing method using the TruSeq Custom Amplicon index kit (Illumina). The first PCR was performed using Q5 polymerase (NEB), the second nested PCR with KAPA HiFi HotStart Ready mix (Roche). Samples were sequenced paired-end (2x 250bp) on a MiSeq (Illumina).
2021-07-26 | E-MTAB-9937 | biostudies-arrayexpress
Project description:Amplicon-based targeted re-sequencing analysis was performed in the patient-derived gliobastoma cell culture samples. For this purpose, genomic DNA (gDNA) was isolated and DNA libraries were prepared using the TruSeq Custom Amplicon Low Input (Illumina, Inc.) technology. By this, a pool of 375 amplicons was generated for each single sample in order to enrich for the target genes ATRX1, EGFR, IDH1, NF1, PDGFRA, PIK3CG, PIK3R1, PTEN, RB1 and TP53. Sequencing was performed on the Illumina MiSeq® next generation sequencing system (Illumina Inc.) and its 2 x 250 bp paired-end v2 read chemistry. The resulting reads were quality controlled and mapped against the human reference genome (hg19). For all samples, sequence variations of the amplified regions of interest in comparison to the human reference sequence were identified and filtered based on reliability.
2021-07-07 | E-MTAB-9343 | biostudies-arrayexpress
Project description:Purpose: Chronic infection with hepatitis B virus is the leading global risk factor for the development of liver cancer. A large body of research has shown the many effects an HBV infection has on cellular physiology, particularly on pathways that may be involved in the development of HBV-associated diseases. Unfortunately, a significant portion of this research has been done in systems that may not mimic what is seen in a primary hepatocyte, and is not done on a transcriptome-wide scale. Because of this, we performed an RNA-seq analysis of primary rat hepatocytes either expressing HBV or not over a series of time points to determine the global changes HBV has on primary hepatocyte physiology. Methods: To do this RNA-seq analysis, triplicate samples of total RNA were collected from cultured primary rat hepatocytes (PRH) over the course of 72hr. PRH were collected immediately after isolation (0hr), or 24hr, 48hr, or 72hr after plating. In addition, PRH were infected 24hr after plating with adenovirus expressing GFP alone (AdGFP) or GFP along with a greater than unit length copy of the HBV genome (AdHBV) and collected at 48hr after plating (24hr after infection) or 72hr after plating (48hr after infection). cDNA libraries were sequenced using the Illumina NextSeq 500 platform to generate either 1x75bp reads. Reads were mapped using the STAR aligner, and output BAMs were further analyzed in R using the GenomicAlignments package, to quantify number of reads per transcript, and DESeq2, to determine differential expression. Reads per kilobase transcript per million total reads (RPKM) was calculated by dividing reads per transcript by the transcript length and then normalizing to the total number of reads in the sample. Results: Following this pipeline, we were able to identify a number of HBV-mediated differentially expressed transcripts at 48hr and 72hr. In addition, we noted considerable change to the hepatocyte transcriptome as a direct result of the isolation/plating procedure, regardless of the presence of HBV. Further pathway analysis of these differentially expressed transcripts identified many important cellular pathways, including those involved with cell cycle regulation and metabolism, as being differentially regulated by HBV in primary hepatocytes. mRNA profiles of cultured primary rat hepatocytes were generated, in triplicate, using the Illumina NextSeq 500 platform from freshly isolated cells (0hr), 24hr, 48hr, or 72hr after plating, and with or without expression of HBV 48hr or 72hr after plating.
2016-01-20 | E-GEOD-68112 | biostudies-arrayexpress
Project description:Background: NK cells during chronic viral infection have been well studied over the last decade. We performed an unbiased next-generation RNA-sequencing approach to identify commonalities or differences of the effect of HIV, HCV and HBV viremia on NK cell transcriptomes. Methods: Using cell sorting, we obtained CD3-CD56+ NK cells from blood of 6 HIV, 11 HCV, and 32 HBV infected and untreated patients. Library preparation and sequencing were done using Illumina mRNA-Seq Sample Prep Kit and the HiSeq 2000, HiSeq2500 or NextSeq 500, and further analysis by an in-house analytic pipeline. Results: In NK cells from HIV, HCV and HBV patients, transcriptome analysis identified 272, 53, and 56 differentially expressed genes, respectively (fold change >1.5, q-value 0.2). Interferon stimulated genes were induced in NK cells from HIV/HCV patients, but not during HBV infection. HIV viremia downregulated ribosome assembly genes in NK cells. In HBV, viral load and ALT variation had little effect on genes related to NK effector function. Conclusion: We compare, for the first time, NK cell transcripts of viremic HIV, HCV and HBV patients. We clearly demonstrate distinctive NK cell gene signatures in 3 different populations, suggestive for a different degree of functional alterations of the NK cell compartment as compared to healthy individuals.
2019-01-26 | GSE125686 | GEO
Project description:We carry out H3K27pan-acetly chromatin imminoprecipitation (ChIP) and H3K4me1 ChIP prior to sequencing on the Illumina Nextseq 500 sequencing platform to report on the genome-wide epigenetic patterns in rat livers
2018-05-01 | GSE113877 | GEO
Project description:Purpose: Chronic infection with hepatitis B virus is the leading global risk factor for the development of liver cancer. A large body of research has shown the many effects an HBV infection has on cellular physiology, particularly on pathways that may be involved in the development of HBV-associated diseases. Unfortunately, a significant portion of this research has been done in systems that may not mimic what is seen in a primary hepatocyte, and is not done on a transcriptome-wide scale. Because of this, we performed an RNA-seq analysis of primary rat hepatocytes expressing HBV to determine the global changes HBV has on primary hepatocyte physiology. Methods: To do this RNA-seq analysis, triplicate samples of total RNA were collected from cultured primary rat hepatocytes infected with adenovirus expressing GFP alone (AdGFP) or GFP along with a greater than unit length copy of the HBV genome (AdHBV). Samples were collected either 24h or 48h after infection. cDNA libraries were sequenced two times using the Illumina HiSeq or Illumina NextSeq platform to generate either 1x50bp or 1x75bp reads. Reads from each sequencing run were mapped using the STAR aligner, and output BAMs were merged into a single BAM for each sample. The merged BAM was further analyzed in R using the GenomicAlignments package to quantify number of reads per transcript and DESeq2 to determine differential expression. Reads per kilobase transcript per million total reads (RPKM) was calculated by dividing reads per transcript by the transcript length and then normalizing to the total number of reads in the sample. Results: Following this pipeline, we were able to identify a number of HBV-mediated differentially expressed transcripts at 24h and 48h post-infection. Further pathway analysis of these differentially expressed transcripts identified many important cellular pathways, including those involved with cell cycle regulation and metabolism, as being differentially regulated by HBV in primary hepatocytes.
2016-01-15 | GSE66566 | GEO
Project description:To find the key gene regulating HBV-infected hepacellular cacinoma genesis and development. We selected tumor (T1-8) and non-tumor tissue (NT1-8) from HBV-infected hepatocellular cacinoma (HCC) patients perform next-generation sequencing (NGS). Illumina mRNA-seq sample preparation kit was used to perform paired-end library sequencing with Illumina HiSeq 2000 and sequence analysis was determined using the Illumina data analysis pipeline. Based on the comparison results，we performed the GO and KEGG pathway enrichment analysis. That might suggest the key gene regulating HBV-infected hepacellular cacinoma genesis and development.
2024-11-30 | GSE208036 | GEO
Project description:tsRNA profiles of gestational diabetes mellitus and healthy control groups were generated by deep sequencing using Illumina NextSeq 500.
2024-05-12 | GSE267259 | GEO