Hypothesis: Overexpression of the GLUT1 facilitative glucose transporter, in A7r5 vascular smooth muscle cells, is sufficient and/or necessary to induce alterations in gene expression which influence apoptosis, growth, and proliferation.
GLUT1-induced cFLIP expression promotes proliferation and prevents apoptosis in vascular smooth muscle cells.
Cell line
View SamplesDiabetic Neuropathy (DN) is a common complication of diabetes. Currently, there is no drug treatment to prevent or slow the development of DN. Rosiglitazone (Rosi) is a potent insulin sensitizer and may also slow the development of DN by a mechanism independent of its effect on hyperglycemia. A two by two design was used to test the effect of Rosi treatment on the development of DN. Streptozotocin-induced diabetic DBA/2J mice were treated with Rosi. DN and oxidative stress were quantified, and gene expression was profiled using the Affymetrix Mouse Genome 430 2.0 microarray platform. An informatics approach identified key regulatory elements activated by Rosi. Diabetic DBA/2J mice developed severe hyperglycemia, DN and elevated oxidative stress. Rosi treatment did not affect hyperglycemia but did reduce oxidative stress and prevented development of thermal hypoalgesia. Two novel transcription factor binding modules were identified that may control genes correlated to changes in DN following Rosi treatment: SP1F_ZBPF and EGRF_EGRF. Rosi treatment reduced oxidative stress and DN independent of its insulin sensitizing effects. Gene expression profiling identified two novel targets activated by Rosi treatment. These targets may be useful in designing drugs with the same efficacy as Rosi in treating DN but with fewer undesirable effects.
Rosiglitazone treatment reduces diabetic neuropathy in streptozotocin-treated DBA/2J mice.
Specimen part, Treatment
View SamplesTreating insulin resistance with pioglitazone normalizes renal function and improves small nerve fibre function and architecture; however, it does not affect large myelinated nerve fibre function in mouse models of type 2 diabetes (T2DM), indicating that pioglitazone affects the body in a tissue-specific manner. To identify distinct molecular pathways regulating diabetic peripheral neuropathy (DPN) and nephropathy (DN), as well those affected by pioglitazone, we assessed DPN and DN gene transcript expression in control and diabetic mice with or without pioglitazone treatment. Differential expression analysis and self-organizing maps were then used in parallel to analyse transcriptome data. Differential expression analysis showed that gene expression promoting cell death and the inflammatory response was reversed in the kidney glomeruli but unchanged or exacerbated in sciatic nerve by pioglitazone. Self-organizing map analysis revealed that mitochondrial dysfunction was normalized in kidney and nerve by treatment; however, conserved pathways were opposite in their directionality of regulation. Collectively, our data suggest inflammation may drive large fibre dysfunction, while mitochondrial dysfunction may drive small fibre dysfunction in T2DM. Moreover, targeting both of these pathways is likely to improve DN. This study supports growing evidence that systemic metabolic changes in T2DM are associated with distinct tissue-specific metabolic reprogramming in kidney and nerve and that these changes play a critical role in DN and small fibre DPN pathogenesis. These data also highlight the potential dangers of a 'one size fits all' approach to T2DM therapeutics, as the same drug may simultaneously alleviate one complication while exacerbating another. PMID: 28272773 Overall design: mRNA profiles of four diabetic complication-prone tissues (sciatic nerve, dorsal root ganglia, kidney glomeruli and kidney cortex) from 16-week old BKS.Cg-m +/+ Leprdb/J mice with/without pioglitazone treatment of 15 mg/kg for 11 weeks. db/db genetic model was used for type 2 diabetes model. Deep sequencing of six biological replicates in each tissues using Illumina HiSeq 2000.
Comparative RNA-Seq transcriptome analyses reveal distinct metabolic pathways in diabetic nerve and kidney disease.
Specimen part, Cell line, Subject
View SamplesOverexpression of glomerular JAK2 mRNA specifically in glomerular podocytes of 129S6 mice led to significant increases in albuminuria, mesangial expansion, glomerulosclerosis, glomerular fibronectin accumulation, and glomerular basement membrane thickening as well as a significant reduction in podocyte density in diabetic mice. Treatment with a specific JAK1/2 inhibitor partly reversed the major phenotypic changes of DKD
Podocyte-specific JAK2 overexpression worsens diabetic kidney disease in mice.
Specimen part, Disease, Disease stage, Treatment
View SamplesMurine models have been valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations of human DN, limiting their utility . In order to define the molecular similarities and differences between human and murine DN, we performed a cross-species comparison of glomerular transcriptional networks. Glomerular gene expression was profiled in patients with early type 2 DN and in three mouse models (streptozotocin DBA/2 mice, db/db C57BLKS, and eNOS-deficient C57BLKS db/db mice). Species-specific transcriptional networks were generated and compared with a novel network-matching algorithm. Three shared, human-mouse cross-species glomerular transcriptional networks containing 143 (Human-STZ), 97 (Human- db/db), and 162 (Human- eNOS-/- db/db) gene nodes were generated. Shared nodes across all networks reflected established pathogenic mechanisms of diabetic complications, such as elements of JAK-STAT and VEGFR signaling pathways . In addition, novel pathways not formally associated with DN and cross-species gene nodes and pathways unique to each of the human-mouse networks were discovered. The human-mouse shared glomerular transcriptional networks will assist DN researchers in the selection of mouse models most relevant to the human disease process of interest. Moreover, they will allow identification of new pathways shared between mice and humans.
Identification of cross-species shared transcriptional networks of diabetic nephropathy in human and mouse glomeruli.
Age, Specimen part, Disease, Disease stage, Treatment
View SamplesAnalysis of estrogen receptor (ER)-positive MCF7 cell total RNA expression and polysome-assiciated RNA expression following treatment with estradiol (E2) and vehicle (etoh).
Estrogen coordinates translation and transcription, revealing a role for NRSF in human breast cancer cells.
Cell line
View SamplesWe identified EGF as the top candidates predicting kidney function through an intrarenal transcriptome-driven approach, and demonstrated it is an independent risk predictor of CKD progression and can significantly improve prediction of renal outcome by established clinical parameters in diverse populations with CKD from a wide spectrum of causes and stages
Tissue transcriptome-driven identification of epidermal growth factor as a chronic kidney disease biomarker.
Specimen part
View SamplesLoss-of-function studies are fundamental for dissecting gene function. Yet, methods to rapidly and effectively perturb genes in mammalian cells are scarce. We present a novel system, deliverable with only two lentiviral vectors, which enables simultaneous control over two different proteins in the same cell. By harnessing the plant auxin and jasmonate hormone-induced degradation pathways, combined with RNA interference, this system allows constitutive depletion of two endogenous proteins and their replacement with two exogenous proteins whose degradation is rapidly and reversibly induced by external ligands, representing a dual analog molecular tuner. Focusing on NANOG, CHK1 and NOTCH1 in embryonic stem cells and p53 in cancer cells we have validated the efficiency, rapidity, reversibility, titratability and multiplicity of the engineered tuners, and demonstrated their potential to facilitate previously-unfeasible experimental approaches and to generate novel biological insights. Overall design: For mRNA-Seq preparation, coronatine/DMSO treated cells were collected.
A dual molecular analogue tuner for dissecting protein function in mammalian cells.
No sample metadata fields
View SamplesPurpose: The ability to rationally manipulate the transcriptional states of cells would be of great use in medicine and bioengineering. We have developed a novel algorithm, NetSurgeon, which utilizes genome-wide gene regulatory networks to identify interventions that force a cell toward a desired expression state. Results: We used NetSurgeon to select transcription factor deletions aimed at improving ethanol production in S. cerevisiae cultures that are catabolizing xylose. We reasoned that interventions that move the transcriptional states of cells utilizing xylose toward the fermentative state typical of cells that are producing ethanol rapidly (while utilizing glucose) might improve xylose fermentation. Some of the interventions selected by NetSurgeon successfully promoted a fermentative transcriptional state in the absence of glucose, resulting in strains with a 2.7-fold increase in xylose import rates, a 4-fold improvement in xylose integration into central carbon metabolism, or a 1.3-fold increase in ethanol production rate. Conclusions: We conclude by presenting an integrated model of transcriptional regulation and metabolic flux that will enable future metabolic engineering efforts aimed at improving xylose fermentation to prioritize functional regulators of central carbon metabolism. Overall design: Mutant and wildtype S. cerevisiae cells were put into 48 hour aerobic batch fermentations of synthetic complete medium supplmented with 2% glucose and 5% xylose and culture samples were taken at 4 hours and 24 hours for transcriptional profiling performed by RNA-Seq analysis. In addition, wildtype S. cerevisiae cells were grown in various single carbon sources for 12 hours and culture samples were taken for transcriptional profiling performed by RNA-Seq analysis.
Model-based transcriptome engineering promotes a fermentative transcriptional state in yeast.
Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Retained heterodisomy is associated with high gene expression in hyperhaploid inflammatory leiomyosarcoma.
Sex, Specimen part, Disease, Disease stage
View Samples