Ontology highlight
ABSTRACT:
PROVIDER: PRJNA703776 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR13760017_1.fastq.gz | Fastqsanger.gz | |||
| SRR13760017_2.fastq.gz | Fastqsanger.gz | |||
| SRR13760018_1.fastq.gz | Fastqsanger.gz | |||
| SRR13760018_2.fastq.gz | Fastqsanger.gz | |||
| SRR13760019_1.fastq.gz | Fastqsanger.gz |
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Project description:Interventions: Electro-acupuncture group:Electro-acupuncture;Sham electro-acupuncture group:Sham electro-acupuncture;Routine group:Routine therapy
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Project description:Purpose:Acupuncture exerts cardioprotective effect on myocardial I/R injury. In order to elucidate the potential mechanisms, RNA-seq by next generation sequencing was used to identify the rat genome-wide alterations by EA at Neiguan acupoint pretreatment in this study Methods: Adult male Sprague Dawley rats (250-300g) were divided into four groups: Sham operation(SO), I/R, electro-acupuncture at Neiguan pretreatment (EA) and electro-acupuncture at non-acupoint (NA) groups and 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 20~43 million sequence reads per sample to the mouse genome (UCSC RN4) and identified 26190 22895 25160 22852 transcripts in the SO, I/R, EA and NA rats with TopHat and Cufflinks workflow respectively. Approximately 32% and 22% of the transcripts showed differential expression between the SO and I/R, I/R and EA , I/R and NA, respectively with a |log2 fold change |≥1. Conclusions: Our results for the first time generated genome-wide gene expression profiles both in the rat I/R 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.
2016-03-20 | GSE61840 | GEO
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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Project description:Rawdata of mouse gut microbiota and NK92 cells RNAseq in Butyric Acid regulating CX3CR1+NK study
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Project description:Chronic diseases arise when pathophysiological processes achieve a steady state by self-reinforcing. Here, we explored the possibility of a self-reinforcement state in a common condition, chronic constipation, where alterations of the gut microbiota have been reported. The functional impact of the microbiota shifts on host physiology remains unclear, however we hypothesized that microbial communities adapted to slow gastrointestinal transit affect host functions in a way that reinforces altered transit, thereby maintaining the advantage for microbial self-selection. To test this, we examined the impact of pharmacologically (loperamide)-induced constipation (PIC) on the structural and functional profile of altered gut microbiota. PIC promoted changes in the gut microbiome, characterized by decreased representation of butyrate-producing Clostridiales, decreased cecal butyrate concentration and altered metabolic profiles of gut microbiota. PIC-associated gut microbiota also impacted colonic gene expression, suggesting this might be a basis for decreased gastrointestinal (GI) motor function. Introduction of PIC-associated cecal microbiota into germ-free (GF) mice significantly decreased GI transit time. Our findings therefore support the concept that chronic diseases like constipation are caused by disease-associated steady states, in this case, caused by reciprocating reinforcement of pathophysiological factors in host-microbe interactions. We used microarrays to detail the global gene expression profile in the proximal colon smooth muscle tissues of germ-free, conventionalized, or specific pathogen free mouse C57Bl/6 female and male specific pathogen free (SPF) mice were bred and housed in the animal care facility at the University of Chicago. Mice of 8–10 weeks of age were treated with 0.1% loperamide in the drinking water for 7 days. Age matched, germ-free (GF) C57Bl/6 mice were gavaged orally with cecal luminal contents harvested from control or loperamide-treated C57Bl/6 donor mice. Recipient mice were sacrificed 4 weeks post-colonization.
2014-07-12 | E-GEOD-59320 | biostudies-arrayexpress