Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR353635_1.fastq.gz | Fastqsanger.gz | |||
| SRR353635_2.fastq.gz | Fastqsanger.gz | |||
| SRR353636_1.fastq.gz | Fastqsanger.gz | |||
| SRR353636_2.fastq.gz | Fastqsanger.gz | |||
| SRR353637_1.fastq.gz | Fastqsanger.gz |
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Project description:Integrated multi-omics analysis
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Project description:We have determined the whole genome sequence of an individual at high accuracy and performed an integrated analysis of omics profiles over a 1.5 year period that included healthy and two virally infected states. Omics profiling of transcriptomes, proteomes, cytokines, metabolomes and autoantibodyomes from blood components have revealed extensive, dynamic and broad changes in diverse molecular components and biological pathways that occurred during healthy and disease states. Many changes were associated with allele- and edit-specific expression at the RNA and protein levels, which may contribute to personalized responses. Importantly, genomic information was also used to predict medical risks, including Type II Diabetes (T2D), whose onset was observed during the course of our study using standard clinical tests and molecular profiles, and whose disease progression was monitored and subsequently partially managed. Our study demonstrates that longitudinal personal omics profiling can relate genomic information to global functional omics activity for physiological and medical interpretation of healthy and disease states. Plasma and serum from a virus infected timepoint (in triplicate) and 34 healthy contorl samples were collected and used to probe Invitrogen human protoarray v5.0.
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Project description:We have determined the whole genome sequence of an individual at high accuracy and performed an integrated analysis of omics profiles over a 1.5 year period that included healthy and two virally infected states. Omics profiling of transcriptomes, proteomes, cytokines, metabolomes and autoantibodyomes from blood components have revealed extensive, dynamic and broad changes in diverse molecular components and biological pathways that occurred during healthy and disease states. Many changes were associated with allele- and edit-specific expression at the RNA and protein levels, which may contribute to personalized responses. Importantly, genomic information was also used to predict medical risks, including Type II Diabetes (T2D), whose onset was observed during the course of our study using standard clinical tests and molecular profiles, and whose disease progression was monitored and subsequently partially managed. Our study demonstrates that longitudinal personal omics profiling can relate genomic information to global functional omics activity for physiological and medical interpretation of healthy and disease states. Examination of blood component in 20 different time points over 1.5 years which includes 2 disease state and 18 healty state Related exome studies at: SRX083314 SRX083313 SRX083312 SRX083311
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Project description:Multi-omics integrated analysis of cucumber recombination
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Project description:This study aimed to identify a biomarker predicting response to ustekinumab therapy. Therefore, we used transcriptomic data (colonic and ileal tissue, CD4 T-cell and CD14 monocytes), which we integrated through Multi-Omics Factor Analysis.
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Project description:Here we describe our unprecedented approach in proposing parsley (PAR) as a nutraceutical intervention in inflammatory bowel disease (IBD) using a mouse model of dextran sodium sulphate (DSS)-induced colitis, following a multi-integrated-omics analysis. PAR supplementation (n=7) significantly improved colon shortening and increased the disease activity index compared to the DSS group (n=7). The colonic transcriptome revealed the down-regulation of inflammatory cytokines, and the hepatic transcriptome and metabolome revealed the up-regulation of fatty acid synthesis genes, thereby improving body weight loss. Down-regulated cancer markers were observed in the hepatic transcriptome and proteome. A global plasma metabolite analysis indicated shifts in the citric cycle and urea cycle, implicating improved impaired glycolysis and oxidative stress. Our integration of three omics analyses highlighted the involvement of the methionine-recycling pathway and PARM-bM-^@M-^Ys role in decreasing the risk of IBD. This pioneering use of multi-integrated-omics in the evaluation of nutrientsM-bM-^@M-^Y effects on physiology is expected to be widely useful and informative, shaping the future of nutritional research. Here we describe our unprecedented approach in proposing parsley (PAR) as a nutraceutical intervention in inflammatory bowel disease (IBD) using a mouse model of dextran sodium sulphate (DSS)-induced colitis, following a multi-integrated-omics analysis. PAR supplementation (n=7) significantly improved colon shortening and increased the disease activity index compared to the DSS group (n=7). The colonic transcriptome revealed the down-regulation of inflammatory cytokines, and the hepatic transcriptome and metabolome revealed the up-regulation of fatty acid synthesis genes, thereby improving body weight loss. Down-regulated cancer markers were observed in the hepatic transcriptome and proteome. A global plasma metabolite analysis indicated shifts in the citric cycle and urea cycle, implicating improved impaired glycolysis and oxidative stress. Our integration of three omics analyses highlighted the involvement of the methionine-recycling pathway and PARM-bM-^@M-^Ys role in decreasing the risk of IBD. This pioneering use of multi-integrated-omics in the evaluation of nutrientsM-bM-^@M-^Y effects on physiology is expected to be widely useful and informative, shaping the future of nutritional research. Total hepatic and colonic RNA from each respective group were pooled (n=7). The microarray analysis was carried as out as described by Jia et al. 8 Mouse Genome 430 2.0 Array GeneChips (Affymetrix, Santa Clara, CA) containing over 30,000 gene probe sets were used for genome-wide expression profiling.
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Project description:Transcriptomic and genetic profiles of tumours and matched normal tissues could help to identify important factors and potential therapeutic targets that contribute to tumorigenesis. We integrated omics profiles in tumours and matched adjacent normal tissues of patients with LUSC (N = 20) and LUAD (N = 17)
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Project description:Muti-Omics Integrated Analysis Reveals Altered metabolism in Sarcopenia.
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Project description:We have determined the whole genome sequence of an individual at high accuracy and performed an integrated analysis of omics profiles over a 1.5 year period that included healthy and two virally infected states. Omics profiling of transcriptomes, proteomes, cytokines, metabolomes and autoantibodyomes from blood components have revealed extensive, dynamic and broad changes in diverse molecular components and biological pathways that occurred during healthy and disease states. Many changes were associated with allele- and edit-specific expression at the RNA and protein levels, which may contribute to personalized responses. Importantly, genomic information was also used to predict medical risks, including Type II Diabetes (T2D), whose onset was observed during the course of our study using standard clinical tests and molecular profiles, and whose disease progression was monitored and subsequently partially managed. Our study demonstrates that longitudinal personal omics profiling can relate genomic information to global functional omics activity for physiological and medical interpretation of healthy and disease states.
2012-03-16 | GSE32874 | GEO
Project description:We have determined the whole genome sequence of an individual at high accuracy and performed an integrated analysis of omics profiles over a 1.5 year period that included healthy and two virally infected states. Omics profiling of transcriptomes, proteomes, cytokines, metabolomes and autoantibodyomes from blood components have revealed extensive, dynamic and broad changes in diverse molecular components and biological pathways that occurred during healthy and disease states. Many changes were associated with allele- and edit-specific expression at the RNA and protein levels, which may contribute to personalized responses. Importantly, genomic information was also used to predict medical risks, including Type II Diabetes (T2D), whose onset was observed during the course of our study using standard clinical tests and molecular profiles, and whose disease progression was monitored and subsequently partially managed. Our study demonstrates that longitudinal personal omics profiling can relate genomic information to global functional omics activity for physiological and medical interpretation of healthy and disease states.
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