The objective of this study was to examine relationships between weight loss through changes in lifestyle and peripheral blood gene expression profiles. Substantial weight loss (-15.2+3.8%) in lifestyle participants was associated with improvement in selected cardiovascular risk factors and significant changes in peripheral blood gene expression from pre- to post-intervention: 132 unique genes showed significant expression changes related to immune function and inflammatory responses involving endothelial activation.
Importance of substantial weight loss for altering gene expression during cardiovascular lifestyle modification.
Sex, Age, Specimen part
View SamplesBackground: Obesity is a risk factor for breast cancer in postmenopausal women and is associated with decreased survival and less favorable clinical characteristics such as greater tumor burden, higher grade, and poor prognosis, regardless of menopausal status. Despite the negative impact of obesity on clinical outcome, molecular mechanisms through which excess adiposity influences breast cancer etiology are not well-defined.
Effect of obesity on molecular characteristics of invasive breast tumors: gene expression analysis in a large cohort of female patients.
Disease stage
View SamplesIntensive lifestyle modification is believed to mediate cardiovascular disease (CVD) risk through traditional pathways that affect endothelial function and progression of atherosclerosis; however, the extent, persistence, and clinical significance of molecular change during lifestyle modification are not well known. Our study reveals that gene expression signatures are significantly modulated by rigorous lifestyle behaviors and track with CVD risk profiles over time.
Intensive cardiovascular risk reduction induces sustainable changes in expression of genes and pathways important to vascular function.
Sex, Age
View SamplesTo identify miRNA-target interactions that are important in bladder cancer metastasis, we profiled miRNA and mRNA expression in poorly metastatic cell lines T24 and LUC, and their metastatic derivatives FL4 and LUL2, respectively. We reasoned that miRNAs and genes that expressed differently between parental and derivative cell lines could potentially contribute to their disparity in metastatic competence. We further hypothesized that interactions between these miRNAs and target genes may play an important role in metastatic competence. We have developed the multiMiR R pacakge and database for such integrated analysis of miRNA-target interactions. Here we demonstrate how multiMiR was used to generate testable hypotheses that could be pursued experimentally. The data set here is from the mRNA expression profiling experiment. Please see E-MTAB-2611 ( <a href="https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-2611/" target="_blank">https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-2611/</a> ) for the microRNA profiling data set.
The multiMiR R package and database: Integration of microRNA-target interactions along with their disease and drug associations
Specimen part, Cell line
View SamplesThis SuperSeries is composed of the SubSeries listed below.
No associated publication
Sex, Age, Treatment, Race
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Master regulators of FGFR2 signalling and breast cancer risk.
Specimen part, Cell line
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Immunodeficiency, autoinflammation and amylopectinosis in humans with inherited HOIL-1 and LUBAC deficiency.
Specimen part, Disease, Disease stage, Subject, Time
View SamplesGenome-wide association studies for breast cancer have identified over 80 different risk regions in the genome, with the FGFR2 locus consistently identified as the most strongly associated locus. However, we know little about the mechanisms by which the FGFR2 locus mediates risk or the pathways in which multiple risk loci may combine to cause disease. Here we use a systems biology approach to elucidate the regulatory networks operating in breast cancer and examine the role of FGFR2 in mediating risk. Using model systems we identify FGFR2-regulated genes and, combining variant set enrichment and eQTL analysis, show that these are preferentially linked to breast cancer risk loci. Our results support the concept that cancer-risk associated genes cluster in pathways
Master regulators of FGFR2 signalling and breast cancer risk.
Cell line
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Dynamics of oscillatory phenotypes in Saccharomyces cerevisiae reveal a network of genome-wide transcriptional oscillators.
No sample metadata fields
View SamplesWe have identified the molecular (transcriptional) signatures associated with muscle remodeling in response to rehabilitation in a patient cohort. Subjects with a closed malleolus fracture treated conservatively with 6 weeks of cast immobilization are recruited. Then subjects are enrolled in a 6 weeks structured rehabilitation program focusing on progressive resistance training of the ankle plantar flexor muscles. Phenotypic measurements are performed before (pre-rehab), during (mid-rehab, 3 weeks) and immediately after (post-rehab, 6 weeks) the rehabilitation intervention. The maximal cross-sectional area (muscle size) and peak torque (muscle strength) are quantified using isometric and isokinetic tests in combination with 3D-magnetic resonance imaging. Ankle plantar flexor muscle size and strength measurements are also performed on the uninvolved limb (serves as a control) at 4 months post-immobilization. Measurements are also acquired from the contralateral leg, which serves as an internal control.
Molecular signatures of differential responses to exercise trainings during rehabilitation.
Sex, Time
View Samples