The prevalence of obesity has been increasing rapidly worldwide during the past two decades. This is alarming, since obesity has considerable effects on morbidity and mortality. The majority of gene expression studies about the effect of obesity and weight loss have been performed using the adipose tissue for mRNA extraction. However, also the liver plays a central role in maintaining energy balance. To our knowledge, no overall analysis of hepatic gene expression in response to changes in nutritional status has been made in humans Therefore, it is important to investigate how a short-time hypocaloric diet affects overall hepatic gene expression and the metabolic profile in a group of overweight and obese women. The subjects (n=31) were middle-aged, overweight (BMI>25 kg/m2) women with gallstone disease scheduled for an elective gallbladder operation. The intervention subjects were placed on a hypocaloric AHA step I diet with a recommended daily energy intake of 5.0 MJ. The objective was to reduce 0.5 kg of body weight per week. The control subjects were instructed to continue their habitual diet and not to lose weight. Basic clinical measurements and laboratory analyses were performed twice at baseline and at two week intervals during the weight reduction period. Surgical liver biopsies were obtained at the end of the weight reduction period. RNA samples of 4 individuals from the intervention group and 4 individuals from the control group were selected for the microarray analysis. The results from the microarray analysis were fairly surprising. Only one gene was up-regulated and the rest 142 down-regulated in the diet intervention group compared to the control group when a minimum of 2-fold change was set as the limit. The global decrease in hepatic gene expression was unexpected but the results are interesting, with several genes not previously linked to weight reduction. The decrease in triglyceride and fasting plasma insulin concentrations observed in our study is in accordance with results from many previous weight-loss trials.
The effect of a short-term hypocaloric diet on liver gene expression and metabolic risk factors in obese women.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Cardiac transcriptome profiling of diabetic Akita mice using microarray and next generation sequencing.
Specimen part
View SamplesPMK-1 is involved in the heat stress response of C. elegans, translocates to the nucleus upon heat exposure and influences the expression of chaperone genes, proteasomal subunits and protein-biosynthesis related genes. Overall design: Differential Gene expression of WT and pmk-1 deletion mutant (KU25) after 5 hours at 35°C
The p38 MAPK PMK-1 shows heat-induced nuclear translocation, supports chaperone expression, and affects the heat tolerance of Caenorhabditis elegans.
Cell line, Subject
View SamplesIdentify genes like Ifit1 which are induced in L929 cells but not L929 cells expressing ectopic IRF8
Interferon Regulatory Factor 8 (IRF8) Impairs Induction of Interferon Induced with Tetratricopeptide Repeat Motif (IFIT) Gene Family Members.
No sample metadata fields
View SamplesBreast cancer arises from breast epithelial cells that acquire genetic alterations leading to subsequent loss of tissue homeostasis. Several distinct epithelial subpopulations have been proposed, but complete understanding of the spectrum of heterogeneity and differentiation hierarchy in the human breast remains elusive. Here, we used single-cell mRNA sequencing (scRNAseq) to profile the transcriptomes of 25,790 primary human breast epithelial cells isolated from reduction mammoplasties of seven individuals. Unbiased clustering analysis reveals the existence of three distinct epithelial cell populations, one basal and two luminal cell types, which we identify as secretory L1- and hormone-responsive L2-type cells. Pseudotemporal reconstruction of differentiation trajectories produc one continuous lineage hierarchy that closely connects the basal lineage to the two differentiated luminal branches. Our comprehensive cell atlas provides novel insights into cellular blueprint of the human breast epithelium and will form the foundation to understand how the system goes awry during breast cancer. Overall design: Microfluidics-enabled Single Cell RNA sequencing libraries were generated for 3 adult human women using the Fluidigm C1 and sequenced on the Illumina HighSeq 2500
Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.
Sex, Specimen part, Subject
View SamplesBreast cancer arises from breast epithelial cells that acquire genetic alterations leading to subsequent loss of tissue homeostasis. Several distinct epithelial subpopulations have been proposed, but complete understanding of the spectrum of heterogeneity and differentiation hierarchy in the human breast remains elusive. Here, we used single-cell mRNA sequencing (scRNAseq) to profile the transcriptomes of 25,790 primary human breast epithelial cells isolated from reduction mammoplasties of seven individuals. Unbiased clustering analysis reveals the existence of three distinct epithelial cell populations, one basal and two luminal cell types, which we identify as secretory L1- and hormone-responsive L2-type cells. Pseudotemporal reconstruction of differentiation trajectories produc one continuous lineage hierarchy that closely connects the basal lineage to the two differentiated luminal branches. Our comprehensive cell atlas provides novel insights into cellular blueprint of the human breast epithelium and will form the foundation to understand how the system goes awry during breast cancer. Overall design: Microfluidics-enabled Single Cell RNA sequencing libraries were generated for 3 adult human women using the Fluidigm C1 and sequenced on the Illumina HighSeq 2500
Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.
Sex, Specimen part, Subject
View SamplesBreast cancer arises from breast epithelial cells that acquire genetic alterations leading to subsequent loss of tissue homeostasis. Several distinct epithelial subpopulations have been proposed, but complete understanding of the spectrum of heterogeneity and differentiation hierarchy in the human breast remains elusive. Here, we used single-cell mRNA sequencing (scRNAseq) to profile the transcriptomes of 25,790 primary human breast epithelial cells isolated from reduction mammoplasties of seven individuals. Unbiased clustering analysis reveals the existence of three distinct epithelial cell populations, one basal and two luminal cell types, which we identify as secretory L1- and hormone-responsive L2-type cells. Pseudotemporal reconstruction of differentiation trajectories produc one continuous lineage hierarchy that closely connects the basal lineage to the two differentiated luminal branches. Our comprehensive cell atlas provides novel insights into cellular blueprint of the human breast epithelium and will form the foundation to understand how the system goes awry during breast cancer. Overall design: Microfluidics-enabled Single Cell RNA sequencing libraries were generated for 3 adult human women using the Fluidigm C1 and sequenced on the Illumina HighSeq 2500
Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.
No sample metadata fields
View SamplesMicroarray analysis and quantitative real-time PCR revealed that TB40E infection of DCs led to changes of the gene expression pattern. A variety of pro-inflammatory cytokines and chemokines (CXCL10, CXCL11, CCL5), TLR3 and genes whose products function downstream of the TLR3 signalling pathway (e.g. IFN-, IFN-) were significantly upregulated.
Toll-like receptor 3 has no critical role during early immune response of human monocyte-derived dendritic cells after infection with the human cytomegalovirus strain TB40E.
Specimen part
View SamplesIdentification and evaluation of specific molecular markers is of great importance for reliable diagnostics and outcome prediction of renal neoplasms
High-resolution DNA copy number and gene expression analyses distinguish chromophobe renal cell carcinomas and renal oncocytomas.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
PCB congener specific oxidative stress response by microarray analysis using human liver cell line.
Age
View Samples