Ontology highlight
ABSTRACT:
PROVIDER: PRJNA773746 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR16532626_1.fastq.gz | Fastqsanger.gz | |||
| SRR16532626_2.fastq.gz | Fastqsanger.gz | |||
| SRR16532627_1.fastq.gz | Fastqsanger.gz | |||
| SRR16532627_2.fastq.gz | Fastqsanger.gz | |||
| SRR16532628_1.fastq.gz | Fastqsanger.gz |
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Project description:Kindlin-2 conditional knockout mouse articular cartilage Raw sequence reads
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Project description:Purpose: RNA sequencing (RNA-Seq) analyses of articular cartilage obtained after DMM surgery in Oscar-/- and WT mice. The purpose of this experiment was to demonstrate how the deficiency of Oscar gene affects downstream signal transduction in articular cartilage. Methods: Articular cartilage mRNA profiles of 10-weeks-old wild-type (WT) and Oscar knockout (Oscar−/−) mice were performed for the destabilization of the medial meniscus (DMM) and each cartilage tissue sample was harvested from two time-points (2- and 4-weeks after surgery). Sequencing libraries were prepared according to the manufacturer’s instructions (TruSeq Stranded mRNA Library Prep Kit; Illumina, San Diego, CA, USA). Paired-end sequencing of 101-mer read length was performed using a HISEQ 2500 sequencing system (Illumina). The sequencing quality of raw FASTQ files was assessed using FastQC (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/). Low-quality reads and adapter sequences in reads were eliminated using BBDuk (http://jgi.doe.gov/data-and-tools/bb-tools/). Results: Usinig RNA-Seq data in articular cartilage tissues from WT and Oscar–/– mice subjected to sham or DMM surgery and each cartilage sample obtained from 2- and 4-week time points after surgery, respectively. And we found that significantly enriched pathways in the 1270 common genes. Conclusions: Our study represents the Oscar gene deficiency analysis of articular cartilage transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
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Project description:Purpose:The purpose of this study is to measure the gene expression profile in Dnmt3a conditional knockout macrophages. Methods:Dnmt3a conditional knockout macrophages mRNA profiles were generated by deep sequencing,using Illumina. Results: We mapped about 20 million sequence reads per sample to the mouse genome, identified hundreds of genes with significant mRNA variation during Dnmt3a conditional knockout in macrophages. Dnmt3a conditional knockout mRNA profiles were generated by deep sequencing
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