Regulation of electro-acupuncture(EA) and astragalus membranaceus (AM) on genes in bone marrow
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ABSTRACT:
PROVIDER: PRJNA687726 | ENA |
REPOSITORIES: ENA
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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.
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Project description:Purpose: Acupuncture is reported to be effective in treating obesity related illnesses, but its mechanism is still unclear. To investigate this mechanism we applied electro-acupuncture (EA) in a mouse model of obesity and used RNA-seq to identify molecular consequences. Methods: Adult male mice (17w) were divided into three groups: Stat5fl/fl, Stat5NKO, Stat5NKO+EA groups, hypothalamus and Epi-WAT mRNA profiles of mice 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 mm9) and identified transcripts in the Stat5fl/fl, Stat5NKO and Stat5NKO+EA mice with TopHat and Cufflinks workflow respectively. Genes with lower than one FPKM (average fragments per kilobase of transcript per million fragments mapped) were filtered out. Up-regulation and down-regulation were defined as a relative transcription level above Log2 fold change (FC) ≥ |±1| and P value <0.05. Conclusions: Our results provided, for the first time, insight into genomic networks of obesity and their modulation by electro-acupuncture, which in turn reveals potential mechanisms that explain acupuncture-induced weight-loss.
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