Ontology highlight
ABSTRACT:
PROVIDER: PRJNA628955 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11692200_1.fastq.gz | Fastqsanger.gz | |||
| SRR11692201_1.fastq.gz | Fastqsanger.gz | |||
| SRR11692202_1.fastq.gz | Fastqsanger.gz | |||
| SRR11692203_1.fastq.gz | Fastqsanger.gz | |||
| SRR11692204_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 56 |
Similar Datasets
Project description:<p>Next generation sequencing has aided characterization of genomic variation. While whole genome sequencing may capture all possible mutations, whole exome sequencing is more cost-effective and captures most phenotype-altering mutations. Initial strategies for exome enrichment utilized a hybridization-based capture approach. Recently, amplicon-based methods were designed to simplify preparation and utilize smaller DNA inputs. We appraised two hybridization capture-based and two amplicon-based whole exome sequencing methods, utilizing both Illumina and Ion Torrent sequencers, comparing on-target alignment, uniformity, and variant calling. While the amplicon methods had higher on-target rates, the hybridization capture-based approaches showed better uniformity. All methods identified many of the same single nucleotide variants, but each amplicon-based method missed variants detected by the other three methods and reported additional variants discordant with all three other technologies. Many of these potential false positives or negatives appear to result from limited coverage, low variant frequency, vicinity to read starts/ends, or the need for platform-specific variant calling algorithms. All methods demonstrated effective copy number variant calling when compared against a single nucleotide polymorphism array. This study illustrates some differences between various whole exome sequencing approaches, highlights the need for selecting appropriate variant calling based on capture method, and will aid laboratories in selecting their preferred approach.</p>
| phs000938 | dbGaP
Project description:Hantavirus causes two kinds of acute diseases; hemorrhagic fever with renal syndrome (HFRS) and hantavirus pulmonary syndrome (HPS), and it is still a major health concern due to high mortality and lack of effective treatment. Interferon is only effective to inhibit hantavirus infection at a very early stage. Several interferon-stimulated genes (ISGs) have been indicated to inhibit hantavirus infection. The cholesterol 25-hydroxylase (CH25H) has been indicated as an ISG, which encodes an enzyme that catalyzes the production of 25-hydroxycholesterol (25HC). 25HC plays an important role in regulating cholesterol biosynthesis and inhibits multiple enveloped virus infections. Here, we showed that Hantaan virus (HTNV), the prototype hantavirus, induces CH25H in infected cells. Overexpression of CH25H and treatment of its enzymatic product 25HC both inhibit HTNV infection, possibly through lowering 3-hydroxy-3-methyl-glutaryl coenzyme A reductase regulation (HMG-CoA reductase, HMGCR) that inhibit cholesterol synthesis. Additionally, cholesterol lowering drugs, HMGCR-targeting statins process potent hantavirus inhibition effects. Taken together, our results indicate that the 25HC and statins were potential antivirals against hantavirus infection.
2024-06-27 | GSE252127 | GEO
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