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accession-icon GSE19949
Integrative genome-wide expression profiling identifies three distinct molecular subgroups of renal cell carcinoma with different patient outcome
  • organism-icon Homo sapiens
  • sample-icon 147 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Background: Renal cell carcinoma (RCC) is characterized by a number of diverse molecular aberrations that differ among individuals. Recent approaches to molecularly classify RCC were based on clinical, pathological as well as on single molecular parameters. As a consequence, gene expression patterns reflecting the sum of genetic aberrations in individual tumors may not have been recognized. In an attempt to uncover such molecular features in RCC, we used a novel, unbiased and integrative approach.

Publication Title

Integrative genome-wide expression profiling identifies three distinct molecular subgroups of renal cell carcinoma with different patient outcome.

Alternate Accession IDs

E-GEOD-19949

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Cell line

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accession-icon GSE32239
Gene Expression profiling of Myc-induced lymphomagenesis
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The ability of oncogenes to provoke cancer is harnessed by regulators that control cell proliferation or induce apoptosis, and bypass of these checkpoints is a hallmark of malignancies. Myc oncoproteins are overexpressed in ~70% of all cancers and induce numerous transcription targets that regulate cell growth, metabolism, and the ribosome machinery. We used the E-Myc mouse model from which one can directly compare expression profiles of wild type versus Myc-expressing B220+ pre-malignant lymphocytes and also queried differences in gene expression that ensue following the neoplastic switch to lymphoma (Nilsson et al., 2005 - PMID:15894264 and Keller et al. 2010 - PMID:20598117).

Publication Title

Targeting ornithine decarboxylase in Myc-induced lymphomagenesis prevents tumor formation.

Alternate Accession IDs

E-GEOD-32239

Sample Metadata Fields

Specimen part

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accession-icon GSE72223
Complex Interdependence Regulates Heterotypic Transcription Factor Distribution and Coordinates Cardiogenesis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Complex Interdependence Regulates Heterotypic Transcription Factor Distribution and Coordinates Cardiogenesis.

Alternate Accession IDs

E-GEOD-72223

Sample Metadata Fields

Specimen part

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accession-icon GSE77576
Complex Interdependence Regulates Heterotypic Transcription Factor Distribution and Coordinates Cardiogenesis [microarray]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In the developing heart, heterotypic transcription factors (TFs) interactions, such as between the T-box TF TBX5 and the homeodomain TF NKX2-5 have been proposed as a mechanism for human congenital heart disease. In order to study the role of each TF during heart formation, embryonic stem (ES) cell-derived embryos were generated from KO ES cells for Tbx5, Nkx2-5 or both TFs.

Publication Title

Complex Interdependence Regulates Heterotypic Transcription Factor Distribution and Coordinates Cardiogenesis.

Alternate Accession IDs

E-GEOD-77576

Sample Metadata Fields

Specimen part

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accession-icon GSE45136
Identification of the chemokine CCL28 as a growth and survival factor for human hematopoietic stem- and progenitor cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To discover novel growth factors for hematopoietic stem- and progenitor cells (HSPCs), we have assessed cytokine responses of cord blood (CB)-derived CD34+ cells in a high-content growth factor screen. We identify the immunoregulatory chemokine (C-C motif) ligand 28 (CCL28) as a novel growth factor that directly stimulates proliferation of primitive hematopoietic cells from different ontogenetic origins.

Publication Title

Identification of the chemokine CCL28 as a growth and survival factor for human hematopoietic stem and progenitor cells.

Alternate Accession IDs

E-GEOD-45136

Sample Metadata Fields

Specimen part

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accession-icon SRP131871
TAD cliques shape the 4-dimensional genome during dual lineage terminal differentiation
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon

Description

How genomic information is selectively utilized to direct spatial and temporal gene expression patterns during differentiation remains to be elucidated but it is clear that regulated changes in higher-order genomic architecture plays a fundamental role. Specifically, long range interactions within and between chromosomes and the position of chromosome territories in the nucleus are controlled by TADs and LADs respectively, but the relationship between these genomic organizers remains poorly understood Overall design: We analyzed the large-scale spatial reorganization of chromatin by generating matched Hi-C and nuclear lamin-chromatin contact datasets throughout a dual adipose/neuronal induction of human primary adipose stem cells. We have mapped Hi-C (TADs) and lamin-associated domains (LADs) in multiple steps during adipose stem cell differentiation to characterize the spatial and temporal link between genomic architecture and gene expression. We identify a new level of 4D genomic organization involving a long-range clustering of individual TADs or TAD pairs into TAD cliques. LADs appear to regulate their formation. (ASCs). We unveil a lineage-specific dynamic assembly and disassembly of repressive cliques of linearly non-contiguous TADs, and a time course-coupled relationship between TAD clique size and lamina association. Our findings reveal a new level of developmental genome organization and provide an overview of large-scale changes in the 4D nucleome during lineage-specific differentiation.

Publication Title

Long-range interactions between topologically associating domains shape the four-dimensional genome during differentiation.

Alternate Accession IDs

GSE109924

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2746
DMEM treated WT and PKBa -/- MEFs
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Mouse embryonic fibroblasts (MEFs) were generated from 13.5-day-old embryos obtained from heterozygous PKBa mice intercrosses (Yang et al., 2003). Briefly, after dissection of head and visceral organs for genotyping, embryos were minced and trypsinized for 30 min at 37C. Embryonic fibroblasts were then plated and maintained in Dulbeccos Modified Eagle Medium (DMEM) with 10% foetal calf serum (FCS) (Life Technologies), 100 units/ml of penicillin and 100 mg/ml of streptomycin at 37C in an atmosphere of 5% CO2. All experiments were performed with wild-type and PKBa-/- MEFs between 15-20 passages. To induce adipocyte differentiation, 2-day-postconfluent cells (day 0) were treated with DMEM supplemented with 10% FCS, 8 mg/ml biotin, 4 mg/ml pantothenate, 0.5 mM 3-isobutyl-1-methylxanthine, 1 mM dexamethasone and 10 mg/ml insulin (all from Sigma). Total RNA was extracted from cells using TRIzol (Invitrogen) according to the manufacturers instructions.

Publication Title

PKBalpha is required for adipose differentiation of mouse embryonic fibroblasts.

Alternate Accession IDs

E-GEOD-2746

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE24422
Effect of insulin on the stromal and adipocyte cells within hMSC derived adipocytes
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

There are an estimated 21million diabetics in the United States and 150 million diabetics worldwide. The World Health Organization anticipates that these numbers will double in the next 20 years. Metabolic syndrome is a well recognized set of symptoms that increases a patients risk of developing diabetes. Insulin resistance is a factor in both metabolic syndrome and Type 2 diabetes. It is characterized by decreased insulin stimulated glucose uptake in peripheral tissues, decreased adiponectin levels, increased adipocyte FFA and cytokine production, and increased insulin and hepatic glucose output. Prevention or reversal of insulin resistance should serve as an important strategy in addressing the growing health concerns posed by the Diabetes epidemic. While increased adiposity is associated with insulin resistance, the role of the cell types present within adipose (adipocytes, pre-adipocytes, endothelial cells, macrophages, fibroblasts, leukocytes and smooth muscle cells) in insulin resistance is unclear. In an effort to begin dissection of this question, we examined the transcriptional response of the buoyant and non-buoyant fractions isolated from insulin sensitive or TNF induced insulin resistant hMSC derived adipocytes before and after treatment with insulin.

Publication Title

Genome-wide profiling of H3K56 acetylation and transcription factor binding sites in human adipocytes.

Alternate Accession IDs

E-GEOD-24422

Sample Metadata Fields

Specimen part

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accession-icon SRP028291
Micro-RNA sequencing from 78 adrenocortical carcinomas
  • organism-icon Homo sapiens
  • sample-icon 78 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Micro-RNA sequencing of adrenocortical tumors and normal adrenal samples. Overall design: miRNA sequencing of 45 adrenocortical carcinomas (ACC), 30 adrenocortical adenomas (ACA) and 3 normal adrenal samples.

Publication Title

Integrated genomic characterization of adrenocortical carcinoma.

Alternate Accession IDs

GSE49279

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE57625
Hypermethylated capped selenoprotein mRNAs in mammals
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Mammalian mRNAs are generated by complex and coordinated biogenesis pathways and acquire 5'-end m7G caps that play fundamental roles in processing and translation. Here we show that several selenoprotein mRNAs are not recognized efficiently by translation initiation factor eIF4E because they bear a hypermethylated cap. This cap modification is acquired via a 5end maturation pathway similar to that of the small nucle(ol)ar RNAs (sn- and snoRNAs). Our findings also establish that the trimethylguanosine synthase 1 (Tgs1) interacts with selenoprotein mRNAs for cap hypermethylation and that assembly chaperones and core proteins devoted to sn- and snoRNP maturation contribute to recruiting Tgs1 to selenoprotein mRNPs. We further demonstrate that the hypermethylated-capped selenoprotein mRNAs localize to the cytoplasm, are associated with polysomes and thus translated. Moreover, we found that the activity of Tgs1, but not of eIF4E, is required for the synthesis of the GPx1 selenoprotein in vivo.

Publication Title

Hypermethylated-capped selenoprotein mRNAs in mammals.

Alternate Accession IDs

E-GEOD-57625

Sample Metadata Fields

Cell line

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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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