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accession-icon GSE145895
Regulation of endoplasmic reticulum-mitochondria contacts and mitochondrial dynamics by Sel1L-Hrd1 ERAD during thermogenesis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Organelles such as endoplasmic reticulum (ER) and mitochondria interact with each other at specialized domains on the ER known as mitochondria-associated membranes (MAMs). Here, using three-dimensional high-resolution imaging techniques, we show that the Sel1LHrd1 protein complex, the most conserved branch of ER-associated protein degradation (ERAD), exerts a profound impact on ER-mitochondria contacts and mitochondrial dynamics, at least in part, by regulating the turnover and hence the abundance of the MAM protein sigma receptor 1 (SigmaR1). Sel1L or Hrd1 deficiency in brown adipocytes impairs dynamic interaction between ER and mitochondria, leading to the formation of pleomorphic “megamitochondria” and, in some cases with penetrating ER tubule(s), in response to acute cold challenge. Mice with ERAD deficiency are cold sensitive and exhibit mitochondrial dysfunction in brown adipocytes. Mechanistically, endogenous SigmaR1 is targeted for proteasomal degradation by Sel1L-Hrd1 ERAD, whose accumulation in ERAD-deficient cells leads to mitofusin 2 (Mfn2) oligomerization, thereby linking ERAD to mitochondrial dynamics. Our study identifies Sel1L-Hrd1 ERAD as a critical determinant of ER-mitochondria contacts, thereby regulating mitochondrial dynamics and thermogenesis.

Publication Title

Endoplasmic reticulum-associated degradation regulates mitochondrial dynamics in brown adipocytes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE68017
Expression data from in vitro versus in vivo differentiated Th17 cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

In vitro differentiated Th17 have a distinct expression profile compared to in vivo differentiated Th17

Publication Title

Inhibiting Oxidative Phosphorylation In Vivo Restrains Th17 Effector Responses and Ameliorates Murine Colitis.

Sample Metadata Fields

Specimen part

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accession-icon SRP189142
Regulatory T cell depletion causes compensatory immune suppression and accelerated pancreatic carcinogenesis.
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Regulatory T cells (Treg) are common in the tumor microenvironment in both human pancreatic cancer and in genetically engineered mouse models of the disease. Previous studies in orthotopic syngeneic models of pancreatic cancer -recapitulated in our own data- indicated that Treg depletion results CD8+ T cell-mediated tumor regression. In human patients and in mouse models, regulatory T cells accumulate during the onset of Pancreatic Intraepithelial Neoplasia (PanIN), the earliest steps of carcinogenesis. We thus generated a genetic model to investigate the role of regulatory T cells during the onset of pancreatic carcinogenesis. Unexpectedly, depletion of Tregs during early stages of carcinogenesis led to accelerated tumor progression. Overall design: We are using KC;Foxp3DTR mice generated by crossing KC (Ptf1a-Cre;LSL-KrasG12D) with Foxp3DTR (B6.129(Cg)-Foxp3tm3(DTR/GFP)Ayr/J, Jackson Laboratory). We depleted Foxp3-expressing Tregs by Diphtheria Toxin (DT) injection to determine the requirement of Tregs during oncogenic Kras induced Pancreatic Intraepithelial Neoplasia (PanIN) formation and maintenance. To investigate the mechanisms underlying the tumor-promoting effect of Treg depletion in KC; Foxp3DTR mice we performed RNA sequencing (RNAseq) for myeloid cells (DAPI-EpCAM-CD45+CD11b+) flow-sorted from KC and KC; Foxp3DTR pancreata.

Publication Title

Regulatory T-cell Depletion Alters the Tumor Microenvironment and Accelerates Pancreatic Carcinogenesis.

Sample Metadata Fields

Subject

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accession-icon GSE32277
Kras is required for pancreatic tumor maintenance through regulation of hexosamine biosynthesis and the non-oxidative pentose phosphate pathway
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The maintenance of advanced malignancies relies on continued activity of driver oncogenes, although their rate-limiting role is highly context-dependent with respect to tumor types and associated genetic alterations. Oncogenic Kras mutation is the signature event in human pancreatic ductal adenocarcinoma (PDAC), serving a critical role in tumor initiation. Here, an inducible KrasG12D-driven p53 mutant PDAC mouse model establishes that advanced PDAC remains strictly dependent on continued KrasG12D expression and that KrasG12D serves a vital role in the control of tumor metabolism, through stimulation of glucose uptake and channeling of glucose intermediates through the hexosamine biosynthesis pathway (HBP) and the pentose phosphate pathway (PPP). Notably, these studies reveal that oncogenic Kras regulates ribose biogenesis. Unlike canonical models of PPP-mediated ribose biogenesis, we demonstrate that oncogenic Kras drives intermediates from enhanced glycolytic flux into the non-oxidative arm of the PPP, thereby decoupling ribose biogenesis from NADPNADPH-mediated redox control. Together, this work provides in vivo mechanistic insights into how oncogenic Kras promotes metabolic reprogramming in native tumors and illuminates potential metabolic targets that can be exploited for therapeutic benefit in Kras-driven PDAC.

Publication Title

Oncogenic Kras maintains pancreatic tumors through regulation of anabolic glucose metabolism.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE58307
Expression profiling of KRas ablation surviving cells and matched Kras expressing spheres in pancreatic tumors
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In this dataset, we include the expression data obtained from KRas expressing tumors, matched Kras expressing tumor spheres, surviving cells and surviving cells after KRas re-expression for 24hs

Publication Title

Oncogene ablation-resistant pancreatic cancer cells depend on mitochondrial function.

Sample Metadata Fields

Specimen part

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accession-icon SRP100060
Differential gene expression in IDH1-R132H Low Grade Glioma animal brain tumors brain in response to 10 Gy of radiation
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

IDH1-R132H is expressed in Low Grade Glioma (LGG) in combination with loss of function mutation in ATRX and TP53 genes. IDH1-R132H results in gain of function with production of 2-hydroxygluatrate, that in turn generates a hypermethylatyed phenotype in DNA and histone with consequences in epigenetic regulation of gene expression. Here we will compare the gene expression profile between IDH1-R132H and IDH1 Wt LLG animal brain tumors in reponse to radiation Overall design: Evaluate differential gene expression between Brain DH1-R132H and IDH1 wt in response to 10Gy ionizing radiation at 14 days after tumor neurospheres implantation

Publication Title

IDH1-R132H acts as a tumor suppressor in glioma via epigenetic up-regulation of the DNA damage response.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE38642
Expression data from human pancreatic islets
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Close to 50 genetic loci have been associated with type 2 diabetes (T2D), but they explain only 15% of the heritability.

Publication Title

A systems genetics approach identifies genes and pathways for type 2 diabetes in human islets.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE41762
Expression data from human pancreatic islets
  • organism-icon Homo sapiens
  • sample-icon 76 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

A gene co-expression network analysis has been conducted to identify T2D-associated gene modules. Donors 1-48 were used for the initial analysis and donors 49-80 for the replication and were normalized separately in this study

Publication Title

Secreted frizzled-related protein 4 reduces insulin secretion and is overexpressed in type 2 diabetes.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP095347
Genetic influences on gene expression in Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 192 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In this study, we describe the impact of genetic variation on transcript abundance in an F2 population of Arabidopsis thaliana. The RNA-seq resource generated by this study is suitable for expression quantitative trait locus (eQTL) mapping. From the aligned RNA-seq reads, and available genomic data for each of the parents of the cross, we imputed the genomes of each F2 individual (to allow genetic mapping of RNA abundance traits; briefly, genetic differences in aligned RNA-seq reads were used to impute each F2 genome). Our results show that heritable differences on gene expression can be detected using F2 populations (that is, single F2 plants), and shed light on the control of expression differences among strains of this reference plant. Overall design: 183 samples consisting of single F2 plants of a cross between Arabidopsis thaliana accessions 8230 and 6195 were generated. For each sample, RNA was collected from the aerial shoot at the 9th true leaf stage, and Illumina mRNA-seq libraries were constructed. Using these libraries, 50 bp single end RNA-seq Illumina reads were generated for each sample, and used to quantify gene expresison in each individual. The resulting expression phenotypes are suitable for genetic mapping of the control of gene expression differences in the species.

Publication Title

Epistatic and allelic interactions control expression of ribosomal RNA gene clusters in Arabidopsis thaliana.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE83129
RNA profiling in metastatic colorectal cancer patients treated first-line with oxaliplatin
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Oxaliplatin (oxPt) resistance in colorectal cancers (CRC) is a major medical problem, and predictive markers are urgently needed. Recently, miR-625-3p was reported as a promising predictive marker. Here, we have used in vitro models to show that miR-625-3p functionally induces oxPt resistance in CRC cells, and have identified signalling networks affected by miR-625-3p. The p38 MAPK activator MAP2K6 was shown to be a direct target of miR-625-3p, and, accordingly, was downregulated in patients not responding to oxPt therapy. miR-625-3p resistance could be reversed in CRC cells by anti-miR-625-3p treatment and by ectopic expression of a miR-625-3p insensitive MAP2K6 variant. In addition, by reducing p38 MAPK signalling using either siRNA technology, chemical inhibitors to p38 or by ectopic expression of dominant negative MAP2K6 protein we induced resistance to oxPt. Transcriptome, proteome and phosphoproteome profiles revealed inactivation of MAP2K6-p38 signalling as one likely mechanism a possible driving force behind of oxPt resistance. Our study shows that miR-625-3p induces oxPt resistance by abrogating MAP2K6-p38 regulated apoptosis and cell cycle control networks, and corroborates the predictive power of miR-625-3p

Publication Title

miR-625-3p regulates oxaliplatin resistance by targeting MAP2K6-p38 signalling in human colorectal adenocarcinoma cells.

Sample Metadata Fields

Subject

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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