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Corynebacterium xerosis B Mi 98.15

ABSTRACT: Corynebacterium xerosis B Mi 98.15 complete genome sequence

PROVIDER: PRJEB19160 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	FWFI01.dat.gz	Other
	FWFI01.fasta.gz	Fasta.gz
	FWFI01.master.dat	Other
	FWFI01.dat.gz	Other

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Corynebacterium xerosis

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Genome-wide profiling of gene expression under electro-acupuncture treatment on MI heart in rats

Project description:Purpose: Acupuncture exerts cardioprotective effects on several types of cardiac injuries, especially myocardial ischemia (MI). In order to elucidate the potential mechanisms, RNA-seq by next generation sequencing was used to identify the rat genome-wide alterations after MI and EA treatment in this study Methods: Adult male Sprague Dawley rats (250-300g) were divided into three groups: Control, MI and electro-acupuncture (EA) groups, myocardium mRNA profiles of rats in each group were generated by deep sequencing,using Illumina Hiseq 2000. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: BurrowsâWheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. Results: Using an optimized data analysis workflow, we mapped about 25 million sequence reads per sample to the mouse genome (UCSC RN4) and identified 121,233, 178,242, 161,880 transcripts in the Control, MI and EA rats with TopHat and Cufflinks workflow respectively. Approximately 32% and 22% of the transcripts showed differential expression between the Control and MI, MI and EA respectively with a fold change â¥2.0. Conclusions: Our results for the first time generated genome-wide gene expression profiles both in the rat MI model and in acupuncture treatment by high throughput sequencing. The optimized data analysis workflows reported here should provide a framework for acupuncture investigations of expression profiles. Myocardium mRNA profiles of Control, MI and EA rats were generated by Hiseq 2000, Control and MI+EA group there were three samples, MI group there were two samples.

2016-03-21 | E-GEOD-54132 | biostudies-arrayexpress

Isolation of Corynebacterium xerosis from animal clinical specimens.

Project description:This article describes the first identification of Corynebacterium xerosis from animal clinical specimens, which was confirmed by microbiological and molecular genetic (16S rRNA gene sequencing) methods.

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Corynebacterium glutamicum

Project description:Complete genome sequence of Corynebacterium glutamicum spp. lactofermentum AJ1511

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Genome-wide profiling of gene expression under electro-acupuncture treatment on MI heart in rats

Project description:Purpose: Acupuncture exerts cardioprotective effects on several types of cardiac injuries, especially myocardial ischemia (MI). In order to elucidate the potential mechanisms, RNA-seq by next generation sequencing was used to identify the rat genome-wide alterations after MI and EA treatment in this study Methods: Adult male Sprague Dawley rats (250-300g) were divided into three groups: Control, MI and electro-acupuncture (EA) groups, myocardium mRNA profiles of rats in each group were generated by deep sequencing,using Illumina Hiseq 2000. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. Results: Using an optimized data analysis workflow, we mapped about 25 million sequence reads per sample to the mouse genome (UCSC RN4) and identified 121,233, 178,242, 161,880 transcripts in the Control, MI and EA rats with TopHat and Cufflinks workflow respectively. Approximately 32% and 22% of the transcripts showed differential expression between the Control and MI, MI and EA respectively with a fold change ≥2.0. Conclusions: Our results for the first time generated genome-wide gene expression profiles both in the rat MI model and in acupuncture treatment by high throughput sequencing. The optimized data analysis workflows reported here should provide a framework for acupuncture investigations of expression profiles.

2016-03-21 | GSE54132 | GEO

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