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accession-icon GSE42327
Genome-wide gene expression analysis in Thoc5- and CFIm68-depleted HeLa cells
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We found that CFIm68, a mRNA cleavage and polyadenylation factor implicated for alternative polyadenylation site choice, was co-purified with Thoc5, a component of human THO/TREX. Microarray analysis using human HeLa cells reveals knockdown of Thoc5 affects the expression of a subset of non-heat shock genes. Notably, depletion of Thoc5 attenuated the expression of the mRNAs polyadenylated at distal, but not proximal, polyadenylation sites, which phenocopied the depletion of CFIm68.

Publication Title

Human TREX component Thoc5 affects alternative polyadenylation site choice by recruiting mammalian cleavage factor I.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE53834
Gene expression profiles in the liver of AIM+/+ and AIM-/- mice fed a high-fat diet
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Expression of genes related to fibrosis was assessed in the liver of AIM+/+ and AM-/- mice fed a high-fat diet (HFD) for various period. Overall, there was no significant difference in the magnitude of expression of fibrosis-related genes during the steatosis progression.

Publication Title

Circulating AIM prevents hepatocellular carcinoma through complement activation.

Sample Metadata Fields

Specimen part

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accession-icon GSE46511
Expression data of NIH3T3 in G0 and G1 phases
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

NIH3T3 in the middle of G0 to G1 transion consists of the cells which is still staying G0 phase and the cells which enters G1. Monitoring the expressions of p27 and Cdt1 enables to distinguish these two; p27+/Cdt1+ cells as the cells in G0 phase and p27-Cdt1+ cells as G1 phase

Publication Title

A novel cell-cycle-indicator, mVenus-p27K-, identifies quiescent cells and visualizes G0-G1 transition.

Sample Metadata Fields

Cell line

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accession-icon GSE36953
Gene expression profiles of triple-negative breast cancer cells under the condition of 3D proliferation
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Triple-negative breast cancer (TNBC) is defined by the absence of estrogen and progesterone receptors and human epidermal growth factor receptor 2, and is the most lethal and aggressive subtype of breast cancer. However, the genes which relate to promote tumor aggressiveness in TNBC remain unclear.

Publication Title

Molecular hierarchy of heparin-binding EGF-like growth factor-regulated angiogenesis in triple-negative breast cancer.

Sample Metadata Fields

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

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accession-icon SRP135900
Transcriptomic analysis of human tonsillar TFH subsets
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We used an IL4-capture assay followed by FACS sorting, to isolate IL4-secreting TFH cells from a human tonsil and compared their transcriptomic profiles with CXCR5hi PD1hi IL4-negative tonsillar TFH cells and IL4-producing CXCR5neg non-TFH cells (TH2 cells). Our studies validate the notion of functionally distinct TFH subsets and identify genes that are specifically expressed in and define the human IL-4 secreting TFH cell subset. Overall design: T follicular helper cell subset mRNA profiles from human tonsils were generated by deep sequencing. Naive CD4 T cells, IL4-producing nonTFH CD4 T cells (i.e. TH2), and IL4-producing TFH cells and PD1hi TFH cells were analyzed. DOI: 10.26508/lsa.201800050

Publication Title

The expansion in lymphoid organs of IL-4<sup>+</sup> BATF<sup>+</sup> T follicular helper cells is linked to IgG4 class switching in vivo.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE49117
Expression analysis of 32Dcl3 cells expressing ASXL-MT in the presence of IL-3 or G-CSF
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Recurrent mutations in ASXL1 are found in various hematological malignancies and are associated with poor prognosis. In particular, ASXL1 mutations are frequently found in patients with hematological malignancies associated with myelodysplasia including myelodysplastic syndromes (MDS), and chronic myelomonocytic leukemia. Although loss-of-function ASXL1 mutations promote myeloid transformation, a large subset of ASXL1 mutations is thought to result in stable truncation of ASXL1. Here we demonstrate that C-terminal truncating ASXL1 mutations (ASXL1-MT) inhibit myeloid differentiation and induce MDS-like disease in mice, displaying all the features of human MDS including multi-lineage myelodysplasia, pancytopenia and occasional progression to overt leukemia. Concerning the molecular mechanisms, ASXL1-MT derepressed expression of Hoxa9 and miR-125a through inhibiting PRC2-mediated methylation of H3K27. miR-125a targeted expression of a surface receptor Clec5a, which was found to supports for myeloid differentiation. In addition, HOXA9 expression was high in MDS patients with ASXL1 mutations while Clec5a expression was generally low in MDS patients. Thus, ASXL1-MT induced MDS-like disease in mice via derepression of Hoxa9 and miR-125a, and Clec5a downregulation. Our data provide evidence for a novel axis of MDS pathogenesis (ASXL1 mutations-upregulation of HoxA9 and miR-125a-downregulation of Clec5a) and implicate both ASXL1 mutants and miR-125a as therapeutic targets in MDS.

Publication Title

Myelodysplastic syndromes are induced by histone methylation–altering ASXL1 mutations.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE49118
Expression analysis of BM cells of ASXL-MT induced MDS mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Recurrent mutations in ASXL1 are found in various hematological malignancies and are associated with poor prognosis. In particular, ASXL1 mutations are frequently found in patients with hematological malignancies associated with myelodysplasia including myelodysplastic syndromes (MDS), and chronic myelomonocytic leukemia. Although loss-of-function ASXL1 mutations promote myeloid transformation, a large subset of ASXL1 mutations is thought to result in stable truncation of ASXL1. Here we demonstrate that C-terminal truncating ASXL1 mutations (ASXL1-MT) inhibit myeloid differentiation and induce MDS-like disease in mice, displaying all the features of human MDS including multi-lineage myelodysplasia, pancytopenia and occasional progression to overt leukemia. Concerning the molecular mechanisms, ASXL1-MT derepressed expression of Hoxa9 and miR-125a through inhibiting PRC2-mediated methylation of H3K27. miR-125a targeted expression of a surface receptor Clec5a, which was found to supports for myeloid differentiation. In addition, HOXA9 expression was high in MDS patients with ASXL1 mutations while Clec5a expression was generally low in MDS patients. Thus, ASXL1-MT induced MDS-like disease in mice via derepression of Hoxa9 and miR-125a, and Clec5a downregulation. Our data provide evidence for a novel axis of MDS pathogenesis (ASXL1 mutations-upregulation of HoxA9 and miR-125a-downregulation of Clec5a) and implicate both ASXL1 mutants and miR-125a as therapeutic targets in MDS.

Publication Title

Myelodysplastic syndromes are induced by histone methylation–altering ASXL1 mutations.

Sample Metadata Fields

Specimen part

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accession-icon SRP073307
Evolutionary origin and functional divergence of stem cell homeobox genes in eutherian mammals
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We individually examined the ability of human ARGFX, DPRX, LEUTX, and TPRX1 to regulate gene expression by ectopically expressing these proteins in fibroblasts. Overall design: Each gene along with an empty control vector were transfected individually to drive ectopic expression in human dermal fibroblasts, in triplicate.

Publication Title

Evolutionary origin and functional divergence of totipotent cell homeobox genes in eutherian mammals.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE41055
A predictive signature gene set for discriminating active from latent TB in Warao Amerindian children
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

While blood transcriptional profiling has improved diagnosis and understanding of disease pathogenesis of adult tuberculosis (TB), no studies applying gene expression profiling of children with TB have been described so far. In this study, we have compared whole blood gene expression in childhood TB patients, as well as in healthy latently infected (LTBI) and uninfected (HC) children in a cohort of Warao Amerindians in the Delta Amacuro in Venezuela. We identified a 116-gene signature set by means of random forest analysis that showed an average prediction error of 11% for TB vs. LTBI and for TB vs. LTBI vs. HC in our dataset. Furthermore, a minimal set of only 9 genes showed a significant predictive value for all previously published adult studies using whole blood gene expression, with average prediction errors between 17% and 23%. Additionally, a minimal gene set of 42 genes with a comparable predictive value to the 116-gene set in both our dataset and the previously published literature cohorts for the comparsion of TB vs. LTBI vs. HC was identified. In order to identify a robust representative gene set that would hold stand among different ethnic populations, we selected ten genes that were highly discriminative between TB, LTBI and HC in all literature datasets as well as in our dataset. Functional annotation of these ten genes highlights a possible role for genes involved in calcium signaling and calcium metabolism as biomarkers for active TB. These ten genes were validated by quantitative real-time polymerase chain reaction in an additional cohort of 54 Warao Amerindian children with LTBI, HC and non-TB pneumonia. Decision tree analysis indicated that five of the ten genes were sufficient to diagnose 78% of the TB cases correctly with 100% specificity. We conclude that our data justify the further exploration of our signature set as biomarkers to diagnose childhood TB. Furthermore, as the identification of different biomarkers in ethnically distinct cohorts is apparent, it is important to cross-validate newly identified markers in all available cohorts.

Publication Title

A predictive signature gene set for discriminating active from latent tuberculosis in Warao Amerindian children.

Sample Metadata Fields

Sex, Age

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accession-icon SRP185912
Inferring population dynamics from single-cell RNA-sequencing time-series data
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconNextSeq 500

Description

This dataset consists of single-cell RNA-seq (Drop-seq) data from thymi of day 14.5 mouse embryos. The sample includes the whole thymus, including mesenchyme, endothelium, epithelium, thymocytes, and other lymphocytes. The mouse is a Rag2-/- knockout. Overall design: 1 sample

Publication Title

Inferring population dynamics from single-cell RNA-sequencing time series data.

Sample Metadata Fields

Specimen part, 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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