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accession-icon GSE64264
Functional Retinal Pigment Epithelium-like Cells from Human Fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The retinal pigment epithelium (RPE) provides vital support to photoreceptor cells and its dysfunction is associated with the onset and progression of age-related macular degeneration (AMD). Surgical provision of RPE cells may ameliorate AMD and thus it would be valuable to develop sources of patient-matched RPE cells for this application of regenerative medicine. We describe here the generation of functional RPE-like cells from fibroblasts that represent an important step toward that goal. We identified candidate master transcriptional regulators of RPEs using a novel computational method and then used these regulators to guide exploration of the transcriptional regulatory circuitry of RPE cells and to reprogram human fibroblasts into RPE-like cells. The RPE-like cells share key features with RPEs derived from healthy individuals, including morphology, gene expression and function, and thus represent a step toward the goal of generating patient-matched RPE cells for treatment of macular degeneration.

Publication Title

A Systematic Approach to Identify Candidate Transcription Factors that Control Cell Identity.

Sample Metadata Fields

Specimen part

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accession-icon GSE6565
Fetal cartilage selective genes identified in a genome-scale analysis
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Cartilage plays a fundamental role in the development of the human skeleton. Early in embryogenesis, mesenchymal cells condense and differentiate to chondrocytes to shape the early skeleton. Subsequently, the cartilage anlagen differentiate to form the growth plates, which are responsible for linear bone growth, and the articular chondrocytes, which facilitate joint function. However, despite the multiplicity of roles of cartilage during human fetal life, surprisingly little is known about its transcriptome. To address this, a whole genome microarray expression profile was generated using RNA isolated from 18-22 week human distal femur fetal cartilage and compared with a database of control normal human tissues aggregated at UCLA, termed CELSIUS. From the wealth of data, 161 cartilage-selective genes were identified, defined as genes significantly expressed in cartilage with low expression and little variation across a panel of 34 non-cartilage tissues. Among these 161 genes were cartilage-specific genes such as collagen genes and 25 genes which have been associated with skeletal phenotypes in humans and/or mice. Many of the other cartilage-selective genes do not have established roles in cartilage or are novel, unannotated genes. Quantitative RT-PCR confirmed the unique pattern of gene expression observed by microarray analysis. Defining the gene expression pattern for cartilage has identified new genes that may contribute to human skeletogenesis as well as provided further candidate genes for skeletal dysplasias. The data suggest that fetal cartilage is a complex and transcriptionally active tissue and demonstrate that the set of genes selectively expressed in the tissue has been greatly underestimated.

Publication Title

Cartilage-selective genes identified in genome-scale analysis of non-cartilage and cartilage gene expression.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP119248
Clonally expanded CD4+ T cells with a unique gene signature contribute to persistence of the HIV-1 latent reservoir
  • organism-icon Homo sapiens
  • sample-icon 228 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Surface expression of the viral Envelope protein (Env) was used to enrich reactivated latent T cells producing HIV-RNA, and single cell RNASeq was performed to study gene expression differences between latent cells and controls. Overall design: Latent CD4+ T cells from virologically suppressed patients were reactivated in vitro and isolated using antibodies against HIV-1 Env. Single cell RNASeq was performed comparing reactivated latent cells with control, unpurified cells from the same donor and with cells actively infected in vitro using HIV-1(YU2).

Publication Title

Clonal CD4<sup>+</sup> T cells in the HIV-1 latent reservoir display a distinct gene profile upon reactivation.

Sample Metadata Fields

Subject

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accession-icon SRP039001
Gene expression profiling in allele replacement panel strains containing all combinations of four sporulation QTN in S. cerevisiae
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 145 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We study the effect of four QTN in RME1, IME1 & RSF1 that are causative for variation in sporulation efficiency. We investigate the relationship between genotype, gene expression and phenotype and whether the amount of gene expression variation explained by the sporulation QTN is predictive of the amount of phenotypic variation explained by them. Overall design: RNA-Seq analysis of 4 replicates each of 16 allele replacement panel strains containing all combinations of the four sporulation QTN after 2 hours in sporulation medium.

Publication Title

Single nucleotide variants in transcription factors associate more tightly with phenotype than with gene expression.

Sample Metadata Fields

Subject

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accession-icon SRP185924
RNA-seq using the Cel-Seq2 method, of wild type and 35-polyglutamine (polyQ35) expressing C. elegans worms treated with RNAi toward anc-1, or left untreated (EV) gene expression profiles.
  • organism-icon Caenorhabditis elegans
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: We observed protein homeostasis modulations when anc-1 is knocked-down. We wanted to measure changes in gene expression profiles following this manipulation. Methods: We treated wild type (strain N2) or polyQ35-YFP (strain AM140) nematodes, which express toxic aggregative proteins that challenge their protein homeostasis, with anc-1 RNAi until day six of adulthood, and compared their gene expression levels to those of untreated worms. Results: The knockdown of anc-1 leads to modified expression levels of hundreds of genes. There is an enrichment of transcription factors and protein homeostasis modulators, such as E3 ubiquitin ligases. Conclusions: anc-1 regulates protection from toxic aggregative proteins, at least partially, by regulating the expression of genes that encode protein homeostasis factors. Overall design: Wild type strain, three repeats; polyQ35-YFP strain, four repeats. Each repeat has two conditions: untreated (EV), and RNAi toward anc-1.

Publication Title

Gene expression modulation by the linker of nucleoskeleton and cytoskeleton complex contributes to proteostasis.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE19816
Effect of von Willebrand factor on gene expression in HUVECs
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Von Willebrand factor is a paracrine/autocrine regulator of human mesenchymal stem cell adhesion to distressed/apoptotic endothelial cells.

Publication Title

Von willebrand factor increases endothelial cell adhesiveness for human mesenchymal stem cells by activating p38 mitogen-activated protein kinase.

Sample Metadata Fields

Specimen part

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accession-icon GSE36036
Niche modulated versus niche modulating genes in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Background. Multiple myeloma (MM) cells depend on the bone marrow (BM) niche for growth and survival. However, the tumor genes regulated by the niche are largely unknown.

Publication Title

Niche-modulated and niche-modulating genes in bone marrow cells.

Sample Metadata Fields

Disease, Disease stage, Time

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accession-icon GSE39184
Contact versus contactless signatures in leukemia
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Gene expression profile (GEP) was analyzed in bone marrow (BM) samples from patients with leukemia or leukemic phase of lymphoma at different time points following aspiration. Among numerous changes in GEP evolved over time a discrete subset of > 60 genes exhibited prompt and sustained switch in expression consistently. Similar results were discovered recently in BM samples from patients with multiple myeloma (GSE36036). GEP was also examined in peripheral blood as well as in BM samples depleted of red blood cells (=WBC) and in cultured cells from some of the patients.

Publication Title

Niche-modulated and niche-modulating genes in bone marrow cells.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE17666
Regulatory Role for PC-TP/StarD2 in the Metabolic Response to Peroxisome Proliferator Activated Receptor Alpha (PPAR)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Phosphatidylcholine transfer protein (PC-TP, a.k.a StarD2) is abundantly expressed in liver and is regulated by PPAR. When fed the synthetic PPAR ligand fenofibrate, Pctp-/- mice exhibited altered lipid and glucose homeostasis. Microarray profiling of liver from fenofibrate fed wild type and Pctp-/- mice revealed differential expression of a broad array of metabolic genes, as well as their regulatory transcription factors. Because its expression controlled the transcriptional activities of both PPAR and HNF4 in cell culture, the broader impact of PC-TP on nutrient metabolism is most likely secondary to its role in fatty acid metabolism.

Publication Title

Regulatory role for phosphatidylcholine transfer protein/StarD2 in the metabolic response to peroxisome proliferator activated receptor alpha (PPARalpha).

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE45651
Expression data from the starved first larval stage (L1) C. elegans animals that were incubated in S-basal buffer for 30 hours after bleaching
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

How animals coordinate gene expression in response to starvation is an outstanding problem closely linked to aging, obesity, and cancer. Newly hatched Caenorhabditis elegans respond to food deprivation by halting development and promoting long-term survival (L1 diapause), thereby providing an excellent model to study starvation response. Through a genetic search, we have discovered that the tumor suppressor Rb critically promotes survival during L1 diapause and likely does so by regulating the expression of genes in both insulin-IGF-1 signaling (IIS)-dependent and -independent pathways mainly in neurons and the intestine. Global gene expression analyses suggested that Rb maintains the starvation-induced transcriptome and represses the re-feeding induced transcriptome, including the repression of many pathogen/toxin/oxidative stress-inducible and metabolic genes, as well as the activation of many other stress-resistant genes, mitochondrial respiratory chain genes, and potential IIS receptor antagonists. Notably, the majority of genes dysregulated in starved L1 Rb(-) animals were not found to be dysregulated in fed conditions. Together, these findings identify Rb as a critical regulator of the starvation response and suggest a link between functions of tumor suppressors and starvation survival. These results may provide mechanistic insights into why cancer cells are often hypersensitive to starvation treatment.

Publication Title

The tumor suppressor Rb critically regulates starvation-induced stress response in C. elegans.

Sample Metadata Fields

No sample metadata fields

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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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