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Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Mettl5-/- brain Transcriptomes

ABSTRACT: Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Mettl5-/- brain Transcriptomes

PROVIDER: PRJNA641587 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR12081258.fastq.gz	Fastqsanger.gz
	SRR12081259.fastq.gz	Fastqsanger.gz
	SRR12081260.fastq.gz	Fastqsanger.gz
	SRR12081261.fastq.gz	Fastqsanger.gz
	SRR12081262.fastq.gz	Fastqsanger.gz

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Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Mettl5-/- brain Transcriptomes

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived brain transcriptome. Methods: Brain mRNA profiles of 28-day-old wild-type (WT) and methyltransferase like 5 knockout (Mettl5−/−) mice were generated by using oligo(dT)-attached magnetic beads enrichemnt. The sequence reads that passed twice quality filters were analyzed at the transcript isoform level with Bowtie2 for quantitative gene analysis and with DEGseq for differentially expressed genes analysis. Results: 6 samples were tested by using the BGISEq-500 platform, and each sample produced 21.45 M data on average. The average ratio of samples to genomes (mm10) was over 96%; A total of 18,491 genes were detected.

2020-10-01 | GSE153138 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Mettl5-/- embryonic stem cells Transcriptomes

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived embryonic stem cells (ESCs) transcriptome. Methods: mESCs mRNA profiles of wild-type (WT) and methyltransferase like 5 knockout (Mettl5−/−) mice were generated by using oligo(dT)-attached magnetic beads enrichemnt. The sequence reads that passed twice quality filters were analyzed at the transcript isoform level with Bowtie2 for quantitative gene analysis and with DEGseq for differentially expressed genes analysis. Results: 15 samples were tested by using the BGISEq-500 platform, and each sample produced 21.56 M data on average. The average ratio of samples to genomes (mm10) was over 94%; A total of 18762 genes were detected.

2020-10-01 | GSE153137 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Mettl5-/- embryonic stem cells Transcriptomes

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