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accession-icon SRP028727
Maternal overnutrition causes insulin resistance and alters skeletal muscle oxidative phosphorylation in adult rat offspring
  • organism-icon Rattus norvegicus
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Maternal obesity can program metabolic syndrome in offspring but the mechanisms are not well characterized. Moreover, the consequences of maternal overnutrition in the absence of frank obesity remain poorly understood. This study aimed to determine the effects of maternal consumption of a high fat-sucrose diet on the skeletal muscle metabolic and transcriptional profiles of adult offspring. Female Sprague Dawley rats were fed either a diet rich in saturated fat and sucrose (HFD, 23.5% fat, 20% sucrose wt/wt) or a standard chow diet (NFD, 7% fat, 10% sucrose w/w) for the 3 weeks prior to mating and throughout pregnancy and lactation. Although maternal weights were not different between groups at conception or weaning, HFD dams were ~22% heavier than chow fed dams from mid-pregnancy until 4 days post-partum. Adult male offspring of HFD dams were not heavier than controls but demonstrated features of insulin resistance including elevated plasma insulin concentration (+40%, P<0.05). Next Generation mRNA Sequencing was used to identify differentially expressed genes in the soleus muscle of offspring, and Gene Set Enrichment Analysis (GSEA) to detect coordinated changes that are characteristic of a biological function. GSEA identified 15 pathways enriched for up-regulated genes, including cytokine signaling (P<0.005), starch and sucrose metabolism (P<0.017), and inflammatory response (P<0.024). A further 8 pathways were significantly enriched for down-regulated genes including oxidative phosphorylation (P<0.004) and electron transport (P<0.022). Western blots confirmed a ~60% reduction in the phosphorylation of the insulin signaling protein Akt (P<0.05) and ~70% reduction in mitochondrial complexes II (P<0.05) and V expression (P<0.05). On a normal diet, offspring of HFD dams developed an insulin resistant phenotype, with transcriptional evidence of muscle cytokine activation, inflammation and mitochondrial dysfunction. These data indicate that maternal overnutrition, even in the absence of pre-pregnancy obesity can promote metabolic dysregulation and predispose offspring to type 2 diabetes. Overall design: Messenger RNA profile of skeletal muscle of male offspring from female Sprague Dawley rats fed either a diet rich in saturated fat and sucrose (HFD, 23.5% fat, 20% sucrose wt/wt) or a standard chow diet (NFD, 7% fat, 10% sucrose w/w) for the 3 weeks prior to mating and throughout pregnancy and lactation. There were 5 HFD samples compared to 6 NFD control samples.

Publication Title

Maternal overnutrition programs changes in the expression of skeletal muscle genes that are associated with insulin resistance and defects of oxidative phosphorylation in adult male rat offspring.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP058181
mRNA-Seq expression and MS3 proteomics profiling of human post-mortem BA9 brain tissue for Parkinson Disease and neurologically normal individuals
  • organism-icon Homo sapiens
  • sample-icon 73 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Parkinson disease (PD) is a neurodegenerative disease characterized by the accumulation of alpha-synuclein (SNCA) and other proteins in aggregates termed “Lewy Bodies” within neurons. PD has both genetic and environmental risk factors, and while processes leading to aberrant protein aggregation are unknown, past work points to abnormal levels of SNCA and other proteins. Although several genome-wide studies have been performed for PD, these have focused on DNA sequence variants by genome-wide association studies (GWAS) and on RNA levels (microarray transcriptomics), while genome-wide proteomics analysis has been lacking. After appropriate filters, proteomics identified 3,558 unique proteins and 283 of these (7.9%) were significantly different between PD and controls (q-value<0.05). RNA-sequencing identified 17,580 protein-coding genes and 1,095 of these (6.2%) were significantly different (FDR p-value<0.05), but only 166 of the FDR significant protein-coding genes (0.94%) were present among the 3,558 proteins characterized. Of these 166, eight genes (4.8%) were significant in both studies, with the same direction of effect. Functional enrichment analysis of the proteomics results strongly supports mitochondrial-related pathways, while comparable analysis of the RNA-sequencing results implicates protein folding pathways and metallothioneins. Ten of the implicated genes or proteins co-localized to GWAS loci. Evidence implicating SNCA was stronger in proteomics than in RNA-sequencing analyses. Notably, differentially expressed protein-coding genes were more likely to not be characterized in the proteomics analysis, which lessens the ability to compare across platforms. Combining multiple genome-wide platforms offers novel insights into the pathological processes responsible for this disease by identifying pathways implicated across methodologies. Overall design: The study consists of mRNA-Seq (29 PD, 44 neurologically normal controls) and three-stage Mass Spectrometry Tandem Mass Tag Proteomics (12 PD, 12 neurologically normal controls) performed in post-mortem BA9 brain tissue. The proteomics samples are a subset of the RNA-Seq samples.

Publication Title

Integrative analyses of proteomics and RNA transcriptomics implicate mitochondrial processes, protein folding pathways and GWAS loci in Parkinson disease.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE75344
Circulating lymphoid committed progenitors after allogeneic stem cell transplantation in humans
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Lymphoid committed CD34+lin-CD10+CD24- progenitors undergo a rebound at month 3 after allogeneic hematopoietic stem cell transplantation (allo-HSCT) in the absence of acute graft-versus-host disease (aGVHD). Here, we analyzed transcriptional programs of cell-sorted circulating lymphoid committed progenitors and CD34+Lin-CD10- non lymphoid progenitors in 11 allo-HSCT patients having (n=5) or not developed (n=6) grade 2 or 3 aGVHD and in 7 age-matched healthy donors. Major deregulated pathways included protein synthesis, energy production, cell cycle regulation and cytoskeleton organization. Notably, genes from protein biogenesis, translation machinery and cell cycle (CDK6) were over-expressed in progenitors from patients in the absence of aGVHD compared with healthy donors and patients affected by aGVHD. Expression of many genes from the mitochondrial oxidative phosphorylation metabolic pathway leading to ATP production were more specifically increased in lymphoid committed progenitors in absence of aGVHD. This was also the case for genes involved in cell mobilization such as those regulating Rho GTPases activity. In all, we show that circulating lymphoid committed progenitors undergo profound changes in metabolism favoring cell proliferation, energy production and cell mobilization after allo-HSCT in humans. These mechanisms are abolished in case of aGVHD or its treatment, indicating a persistent cell-intrinsic defect after exit from bone marrow.

Publication Title

Alterations of circulating lymphoid committed progenitor cellular metabolism after allogeneic stem cell transplantation in humans.

Sample Metadata Fields

Disease, Disease stage, Subject

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accession-icon GSE21668
Expression data from undifferentiated human embryonic stem cells (hESC) and Day 3.5 mesodermal progenitor (CD326neg CD56+) population
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Our understanding of how mesodermal tissue is formed, has been limited by the absence of specific and reliable markers of early mesoderm commitment. We report that mesoderm commitment from human embryonic stem cells (hESC) is initiated by Epithelial to Mesenchymal transition (EMT) as shown by gene expression profiling and by reciprocal changes in expression of the cell surface proteins, EpCAM/CD326 and NCAM/CD56. Molecular and functional assays reveal that CD326negCD56+ cells, generated from hESC in the presence of activin A, BMP4, VEGF and FGF2, represent a novel, multi-potent mesoderm-committed progenitor population. CD326negCD56+ progenitors are unique in their ability to generate all mesodermal lineages including hematopoietic, endothelial, mesenchymal (bone, cartilage, fat, fibroblast), smooth muscle and cardiomyocytes, while lacking the pluripotency of hESC. CD326negCD56+ cells are the precursors of previously reported, more lineage-restricted mesodermal progenitors. These findings present a novel approach to study how germ layer specification is regulated, and offer a unique target for tissue engineering.

Publication Title

Mapping the first stages of mesoderm commitment during differentiation of human embryonic stem cells.

Sample Metadata Fields

Cell line

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accession-icon GSE62782
Influence of neutrophils in tumor-supportive stromal cells gene expression in non-Hodgkin B-cell lymphoma
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Tumor infiltrating neutrophils (TAN) have been shown to exert both pro- and anti-tumoral activities and their recruitment and polarization are triggered by tumor-derived signals. Resident mesenchymal stromal cells (MSC) could contribute to tumor-supportive cell niche and have been shown to display tumor-specific transcriptomic, phenotypic, and functional features compared to normal tissue. In our study, we investigate whether these two cell subsets establish a bidirectional crosstalk in the context of B-cell lymphoma.

Publication Title

Neutrophils trigger a NF-κB dependent polarization of tumor-supportive stromal cells in germinal center B-cell lymphomas.

Sample Metadata Fields

Treatment

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accession-icon SRP131953
Human cytotrophoblast organoids
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Human cytotrophoblast organoid cultures were established from the villous trophoblast of first trimester placentas. We analyzed the global expression profile of the cytotrophoblast organoids (CTB-ORG) and compared to the profile of the tissue of origin i.e. villous cytotrophoblast (vCTB) as well as to differentiated syncytiotrophoblast (STB) and placental fibroblasts (FIB). Overall design: We employed QuantSeq method to analyzed the global expression profile of the cytotrophoblast organoids (4 replicates, CTB-ORG 1-4) and compared to the profile of the tissue of origin i.e. villous cytotrophoblast (3 replicates, vCTB 1-3) as well as to in vitro differentiated syncytiotrophoblast (3 replicates, STB1-3) and placental fibroblasts (2 replicates, FIB 1-2).

Publication Title

Self-Renewing Trophoblast Organoids Recapitulate the Developmental Program of the Early Human Placenta.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE23724
Genes differentially regulated by the glucocorticoid receptor in developing skin of the GR knock out and wt embryos.
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To understand the transcriptional program by which GR regulates skin development, we performed a microarray analysis using the skin of E18.5 GR-/- and GR+/+ mouse embryos.

Publication Title

Glucocorticoid receptor regulates overlapping and differential gene subsets in developing and adult skin.

Sample Metadata Fields

Specimen part

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accession-icon GSE51812
Identification of chondrocyte subsets during human development
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Joint injury and osteoarthritis affect millions of people worldwide, but attempts to generate articular cartilage using adult stem/progenitor cells have been unsuccessful. We hypothesized that recapitulation of the human developmental chondrogenic program using pluripotent stem cells (PSCs) may represent a superior approach for cartilage restoration. Using laser capture microdissection followed by microarray analysis, we first defined a surface phenotype (CD146low/negCD166low/negCD73+CD44lowBMPR1B+) distinguishing the earliest cartilage committed cells (pre-chondrocytes) at 5-6 weeks of development; pellet assays confirmed these cells as functional, chondrocyte-restricted progenitors. Flow cytometry, qPCR and immunohistochemistry at 17 weeks revealed that the superficial layer of peri-articular chondrocytes was enriched in cells with this surface phenotype. Isolation of cells with a similar immunophenotype from differentiating human PSCs revealed a population of CD166negBMPR1B+ putative pre-chondrocytes. Functional characterization confirmed these cells as cartilage-committed, chondrocyte progenitors. The identification of a specific molecular signature for primary cartilagecommitted progenitors may provide essential knowledge for the generation of purified, clinically relevant cartilage cells from PSCs.

Publication Title

Human developmental chondrogenesis as a basis for engineering chondrocytes from pluripotent stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP100615
RNA-seq transcriptomics of the Atp7b-/- mouse liver at six weeks of age
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Illumina HiSeq 2000

Description

We report liver transcript profiling by RNA sequencing of Atp7b-/- and wild type mice at six weeks of age. Transcriptional network analysis of RNA-seq data reveals a highly interconnected network of transcriptional activators with over-representation of zinc-dependent and zinc-responsive transcription factors. Overall design: Wild type and Atp7b-/- Mice were maintained on strain C57BL x 129S6/SvEv. Housing was in shoebox cages and fed Mazuri Rodent diet (PMI Nutrition, Inc., Richmond, Indiana), containing 16 ppm Cu, 100 ppm Zn, and 235 ppm Fe and water ad libitum, with a 12-hour light/dark cycle. Six-week-old mice of both sexes were used for transcriptomic studies. Animals were sacrificed by carbon dioxide asphyxiation and liver tissue was harvested for RNA isolation. RNA sequencing was performed at the National Center for Genome Resources (NCGR) using the GAIIx platform. Average read quality was 38. An initial dataset was generated using two wild type and two Atp7b-/- samples with singleton 1x54 runs with 15,823,058; 8,149,631; 22,931,967 and 9,538,147 reads. A second paired end (2x54) dataset was generated to augment the initial singleton dataset with one wild type and one Atp7b-/- run resulting in 36,360,686 and 38,366,743 reads, respectively.

Publication Title

Altered zinc balance in the Atp7b<sup>-/-</sup> mouse reveals a mechanism of copper toxicity in Wilson disease.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon SRP066440
Simultaneous pathway activity inference and global gene expression analysis using RNA-sequencing [myd88]
  • organism-icon Mus musculus
  • sample-icon 383 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Two 96-well plates per genotype wild type and Myd88 knockout, 4 hour time series in 0.5 hr increments Overall design: Myd88 BMDM transcriptional profiling to complement TF-seq data

Publication Title

Simultaneous Pathway Activity Inference and Gene Expression Analysis Using RNA Sequencing.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment, Subject, Time

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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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