Project description:We assessed the effect of dietary glycemic load on miRNA expression in a sample of healthy, premenopausal women participating in a 12 month intervention designed to lower dietary glycemic load. Comparing post-intervention to baseline miRNA expression data of 14 participants receiving the active intervention.
Project description:We assessed the effect of dietary glycemic load on miRNA expression in a sample of healthy, premenopausal women participating in a 12 month intervention designed to lower dietary glycemic load.
2011-12-19 | GSE27474 | GEO
Project description:Individualized responses of gut microbiota to dietary intervention modeled in humanized mice
Project description:Prostate Microarrays for two studies on Low-Fat, Low-Glycemic Load Diet intervention in prostate cancer and the effect of Surgical Manipulation on Prostate Gene Expression. Influence of Surgical Manipulation on Prostate Gene Expression: Implications for Molecular Correlates of Treatment Effects and Disease Prognosis "Measurements of tissue gene expression are increasingly used for disease stratification, clinical trial eligibility, and assessment of neoadjuvant therapy response. However, the method of tissue acquisition alone could significantly influence the expression of specific transcripts or proteins. This study examines whether there are transcript alterations associated with surgical resection of the prostate gland by radical retropubic prostatectomy." Low-Fat, Low-Glycemic Load Diet and Gene Expression in Human Prostate Epithelium: A Feasibility Study of Using cDNA Microarrays to Assess the Response to Dietary Intervention in Target Tissues "We examined the feasibility of using gene expression changes in human prostate epithelium as a measure of response to a dietary intervention." Keywords: Low-fat, Low-Glycemic Load, Prostate Cancer, Radical Prostatectomy, Ischemia
Project description:Individualized analysis through expression profiling of 20,000 probes in 28 tissue samples evaluated in subcutaneous and omental adipose tissue obtained during surgical intervention in non-obese and obese patients. Patients consisted of men and women of varying body size (lean to severely obese). Samples were collected at the time of operation in the fasting state.
Project description:Individualized analysis through expression profiling of 20,000 probes in 28 tissue samples evaluated in subcutaneous and omental adipose tissue obtained during surgical intervention in non-obese and obese patients. Patients consisted of men and women of varying body size (lean to severely obese). Samples were collected at the time of operation in the fasting state. Samples consisted of subcutaneous and omental adipose tissue as well as a blood sample from lean and obese men and women removed in the fasting state at the time of surgery.
Project description:The source of most errors in RNA sequencing (RNA-seq) read alignment is in the repetitive structure of the genome and not with the alignment algorithm. Genetic variation away from the reference sequence exacerbates this problem causing reads to be assigned to the wrong location. We developed a method, implemented as the software package Seqnature, to construct the imputed genomes of individuals (individualized genomes) of experimental model organisms including inbred mouse strains and genetically unique outbred animals. Alignment to individualized genomes increases read mapping accuracy and improves transcript abundance estimates. In an application to expression QTL mapping, this approach corrected erroneous linkages and unmasked thousands of hidden associations. Individualized genomes accounting for genetic variation will be useful for human short-read sequencing and other sequencing applications including ChIP-seq.
Project description:We systematically investigated the responses of five human gut microbiomes to 21 common sweeteners, using an approach combining high-throughput ex vivo microbiome culturing and metaproteomics to quantify functional changes in different taxa. Hierarchical clustering based on metaproteomic responses of individual microbiomes resulted in two clusters. The first cluster was composed of non-caloric artificial sweeteners (NAS) and two sugar alcohols with shorter carbon backbones (4-5 carbon atoms), and the second cluster was composed of sugar alcohols with longer carbon backbones. The metaproteomic functional responses of the second cluster were similar to the prebiotic fructooligosaccharides and kestose, indicating that these sugar alcohol-type sweeteners have potential prebiotic functions.