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accession-icon GSE94292
Expression data from adult and neonatal human platelets
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Understanding the underlying mechanisms of the well-established platelet hyporeactivity in neonates, would be of great relevance for both improving the clinical management of neonates, a population with a higher bleeding risk than adults (especially among sick and preterm infants), and getting new insights onto the regulatory mechanisms of platelet biology. Transcriptome analysis is a useful tool to identify mRNA signature affecting platelet function. However, human fetal/neonatal platelet transcriptome analysis has never been reported. Here, we used, for the first time, mRNA expression array to compare the platelet transcriptome changes during development. Microarray analysis was performed in pure platelet RNA obtained from adult and cord blood, using the same platform in two independent laboratories.

Publication Title

Comprehensive comparison of neonate and adult human platelet transcriptomes.

Sample Metadata Fields

Specimen part

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accession-icon GSE47552
Transcriptome analysis reveals molecular profiles associated with evolving steps of monoclonal gammopathies
  • organism-icon Homo sapiens
  • sample-icon 99 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

To gain further insights into the role of the transcriptome deregulation in the transition from a normal plasma cell (NPC) to a clonal PC and from an indolent clonal PC to a malignant PC, we performed gene expression profiling in 20 patients with MGUS, 33 with high-risk SMM and 41 with MM. The analysis showed that 126 genes were differentially expressed in MGUS, SMM and MM as compared to NPC. Interestingly, 17 and 9 out of the 126 significant differentially expressed genes were small nucleolar RNA molecules (snoRNA) and zinc finger proteins. GADD45A was the most significant up-regulated gene in clonal PC compared to NPC. Several proapoptotic genes (AKT1 and AKT2) were downregulated and antiapoptotic genes (APAF1 and BCL2L1) were upregulated in MM, both symptomatic and asymptomatic, compared to MGUS. Myc mediated apoptosis signaling is one of the top canonical pathways differentiating the asymptomatic and symptomatic myeloma. When we looked for those genes progressively modulated through the evolving stages of monoclonal gammopathies, eight snoRNA showed a progressive increase while APAF1, VCAN and MEGF9 exhibited a progressive downregulation in the transition from MGUS to SMM and to MM. In conclusion, our data show that although MGUS, SMM and MM are not clearly distinguishable groups according to their GEP, several signaling pathways and genes were significant deregulated in the different steps of transformation process.

Publication Title

Transcriptome analysis reveals molecular profiles associated with evolving steps of monoclonal gammopathies.

Sample Metadata Fields

Specimen part

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accession-icon GSE145098
Expression data from microglial cell line BV-2
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Microglial morphology is tightly associated with aspects of their functions during the postnatal stage. It is affected by not only intrinsic cues but also external factors.

Publication Title

Atypical Cadherin FAT3 Is a Novel Mediator for Morphological Changes of Microglia.

Sample Metadata Fields

Treatment

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accession-icon GSE3419
Characterization and isolation of stem cell enriched human hair follicle bulge cells
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The human hair follicle bulge is an important niche for keratinocyte stem cells (KSC). Elucidation of human bulge cell biology could be facilitated by analysis of global gene expression profiles and identification of unique cell surface markers. The lack of distinctive bulge morphology in human hair follicles has hampered studies of bulge cells and KSC. In this study, we determined the distribution of label-retaining cells to carefully define the human anagen bulge. Using navigated-laser capture microdissection, bulge cells and outer root sheath cells from other follicle regions were obtained and analyzed with cDNA microarrays. Gene transcripts encoding inhibitors of WNT and Activin/BMP signaling were over-represented in the bulge while genes responsible for cell proliferation were under-represented, consistent with quiescent non-cycling KSC in anagen follicles. Positive markers for bulge cells included CD200, PHLDA1, follistatin, and frizzled homolog 1 while CD24, 34, 71 and 146 were preferentially expressed by non-bulge keratinocytes. Importantly, CD200+ cells (CD200hi24lo34lo71lo146lo) obtained from hair follicle suspensions demonstrated high colony forming efficiency in clonogenic assays, indicating successful enrichment of living human bulge stem cells.

Publication Title

Characterization and isolation of stem cell-enriched human hair follicle bulge cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE27309
SIRT3 opposes metabolic reprogramming of cancer cells through HIF1a destabilization
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Tumor cells exhibit aberrant metabolism characterized by high glycolysis even in the presence of oxygen. This metabolic reprogramming, known as the Warburg effect, provides tumor cells with the substrates and redox potential required for the generation of biomass. Here, we show that the mitochondrial NAD-dependent deacetylase SIRT3 is a crucial regulator of the Warburg effect. SIRT3 loss promotes a metabolic profile consistent with high glycolysis required for anabolic processes in vivo and in vitro. Mechanistically, SIRT3 mediates metabolic reprogramming independently of mitochondrial oxidative metabolism and through HIF1a, a transcription factor that controls expression of key glycolytic enzymes. SIRT3 loss increases reactive oxygen species production, resulting in enhanced HIF1a stabilization. Strikingly, SIRT3 is deleted in 40% of human breast cancers, and its loss correlates with the upregulation of HIF1a target genes. Finally, we find that SIRT3 overexpression directly represses the Warburg effect in breast cancer cells. In sum, we identify SIRT3 as a regulator of HIF1a and a suppressor of the Warburg effect.

Publication Title

SIRT3 opposes reprogramming of cancer cell metabolism through HIF1α destabilization.

Sample Metadata Fields

Specimen part

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accession-icon GSE22083
Expression data from human skin exposed to solar-simulated radiation with or without sunscreen
  • organism-icon Homo sapiens
  • sample-icon 98 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Despite widespread use of sunscreens that minimize erythema by blocking ultraviolet B (UVB) radiation, incidence rates of melanoma continue to rise. In considering this disparity between intervention and disease prevalence, we investigated the in vivo transcriptome of human skin treated with sunscreen and solar-simulated radiation (ssR). A focal skin area of healthy participants was exposed to ssR at 1 minimal erythema dose (MED), 0.1 MED or 100 J/m2 with or without prior application of sunscreen, or to non-UVB-spectrum of ssR (solar-simulated UVA/visible/infrared radiation: ssA). Skin biopsies were analyzed using expression microarrays.

Publication Title

Transcriptional signatures of full-spectrum and non-UVB-spectrum solar irradiation in human skin.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE28449
Expression data from control and LRF-deficient mouse germinal center B cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

B cells are indispensable for humoral immunity, as they ultimately give rise to antibody-secreting plasma cells. During T cell-dependent antibody responses, naive B cells form germinal centers (GCs), a distinct histologic structure found in secondary lymphoid organs. Naive B cells become activated upon interaction with T cells and antigen presenting cells, and begin to rapidly proliferate and form the characteristic GC structure.

Publication Title

The LRF transcription factor regulates mature B cell development and the germinal center response in mice.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE11757
Cell cycle dependent variation of a CD133 epitope in human embryonic stem cell, colon cancer and melanoma cell lines.
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina humanRef-8 v2.0 expression beadchip

Description

CD133 (Prominin1) is pentaspan transmembrane glycoprotein expressed in several stem cell populations and cancers. Reactivity with an antibody (AC133) to a glycoslyated form of CD133 has been widely used for the enrichment of cells with tumor initiating activity in xenograph transplantation assays. We have found by fluorescence-activated cell sorting that increased AC133 reactivity in human embryonic stem cells, colon cancer and melanoma cells is correlated with increased DNA content and reciprocally, that the least reactive cells are in the G1/G0 portion of the cell cycle. Continued cultivation of cells sorted on the basis of high and low AC133 reactivity results in a normalization of the cell reactivity profiles indicating that cells with low AC133 reactivity can generate highly reactive cells as they resume proliferation. The association of AC133 with actively cycling cells may contribute to the basis for enrichment for tumor initiating activity.

Publication Title

Cell cycle-dependent variation of a CD133 epitope in human embryonic stem cell, colon cancer, and melanoma cell lines.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-570
Transcription profiling of rat ganglionic eminences and cerebral cortex at embryonic stages E12.5, E14 and E16
  • organism-icon Rattus norvegicus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a), Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Gene expression profiling of the medial (MGE), lateral (LGE) and caudal (CGE) ganglionic eminence, and cerebral cortex (CTX) at various embryonic stages (E12.5, E14 and E16).

Publication Title

Comprehensive spatiotemporal transcriptomic analyses of the ganglionic eminences demonstrate the uniqueness of its caudal subdivision.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE37088
Follicular Lymphoma expression array
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We used microarrays to detail gene expression profile of several follicular lymphoma patient samples with different grades

Publication Title

Frequent disruption of the RB pathway in indolent follicular lymphoma suggests a new combination therapy.

Sample Metadata Fields

Specimen part

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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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Developed by the Childhood Cancer Data Lab

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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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