Persons with Down syndrome (DS) exhibit low muscle strength that significantly impairs their physical functioning. The Ts65Dn mouse model of DS also exhibits muscle weakness in vivo and may serve as a useful model to examine potential factors responsible for DS-associated muscle dysfunction. Therefore, the purpose of this experiment was to directly assess skeletal muscle function in the Ts65Dn mouse and to reveal potential mechanisms of DS-associated muscle weakness. Soleus muscles were harvested from anesthetized male Ts65Dn and wild-type (WT) colony controls. In vitro muscle contractile experiments revealed normal force generation of unfatigued Ts65Dn soleus, but a 12% reduction in force was observed in Ts65Dn muscle during recovery following fatiguing contractions compared to WT muscle (p<0.05). Oxidative stress may contribute to DS-related pathologies, including muscle weakness, which may be the result of overexpression of chromosome 21 genes (e.g., copper-zinc superoxide dismutase (SOD1)). SOD1 expression was 25% higher (p<0.05) in Ts65Dn soleus compared to WT muscle but levels of other antioxidant proteins were unchanged. Lipid peroxidation (4-hydroxynoneal) was unaltered in Ts65Dn muscle although protein carbonyls were 20% greater compared to muscle of WT animals (p<0.05). Cytochrome c oxidase expression was reduced 22% in Ts65Dn muscle, suggesting a limitation in mitochondrial function may contribute to post-fatigue muscle weakness. Microarray analysis of Ts65Dn soleus revealed alteration of numerous cellular pathways including: proteolysis, glucose and fat metabolism, neuromuscular transmission, and ATP biosynthesis. In summary, the Ts65Dn mouse displays evidence of muscle dysfunction, and the potential role of mitochondria and oxidative stress warrants further investigation.
Functional and biochemical characterization of soleus muscle in Down syndrome mice: insight into the muscle dysfunction seen in the human condition.
Sex, Age, Specimen part
View SamplesStudy to identify genes associated with NSCLC recurrence in patients not receiving adjuvant chemotherapy.
Prediction of postoperative recurrence-free survival in non-small cell lung cancer by using an internationally validated gene expression model.
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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.
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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
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