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accession-icon GSE33892
Comparison of TEX and M9-ENL1 cell lines to HL60 and THP1 cell lines
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Gene regulatory networks that govern hematopoietic stem cells (HSC) and leukemiainitiating cells (L-IC) are deeply entangled. Thus, the discovery of compounds that target L-IC while sparing HSC is an attractive but difficult endeavor. Presently, most drug discovery approaches fail to counter-screen compounds against normal hematopoietic stem/progenitor cells (HSPC) to assess therapeutic index. Here, we present a combined in vitro and in vivo strategy to identify compounds specific to L-IC in acute myeloid leukemia (AML). A high-throughput screen of 4000 compounds on novel leukemia cell lines derived from human experimental leukemogenesis models yielded 80 hits, of which most were toxic to normal HSPC. Of the 10 compounds that passed this initial filter, we chose to characterize a single compound, kinetic riboside (KR), on AML L-IC and HSPC. KR demonstrated comparable efficacy to standard therapies against 63 primary AMLs. In vitro, KR effectively targeted the L-IC-enriched CD34+CD38- AML fraction, while sparing normal HSPC enriched fractions, although these effects were mitigated on HSC assayed in vivo, and highlights the importance of in vivo L-IC and HSC assays to measure function. Overall, we provide a novel approach to screen large drug libraries for the discovery of anti-L-IC compounds for human leukemias.

Publication Title

A small molecule screening strategy with validation on human leukemia stem cells uncovers the therapeutic efficacy of kinetin riboside.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE73329
Identification of drugs that enhance skin repair using dermal stem cell-based screens
  • organism-icon Mus musculus, Rattus norvegicus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st), Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of Drugs that Regulate Dermal Stem Cells and Enhance Skin Repair.

Sample Metadata Fields

Treatment

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accession-icon GSE73327
Identification of drugs that enhance skin repair using dermal stem cell-based screens [Mouse]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Here, we asked whether we could identify pharmacological agents that enhance endogenous stem cell function to promote skin repair, focusing on SKPs (skin-derived precursors) a dermal precursor cell population. Libraries of compounds already used in humans were screened for their ability to enhance the self-renewal of human and rodent SKPs. We identified and validated 5 such compounds, and showed that two of them, alprostadil and trimebutine maleate, enhanced the repair of full thickness skin wounds in middle-aged mice. Moreover, SKPs isolated from drug-treated skin displayed long-term increases in self-renewal when cultured in basal growth medium without drugs. Both alprostadil and trimebutine maleate likely mediated increases in SKPs self-renewal by moderate hyperactivation of the MEK-ERK pathway. These findings identify candidates for potential clinical use in human skin repair, and provide support for the idea that pharmacological activation of endogenous tissue precursors represents a viable therapeutic strategy.

Publication Title

Identification of Drugs that Regulate Dermal Stem Cells and Enhance Skin Repair.

Sample Metadata Fields

Treatment

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accession-icon GSE73328
Identification of drugs that enhance skin repair using dermal stem cell-based screens [Rat]
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st), Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Here, we asked whether we could identify pharmacological agents that enhance endogenous stem cell function to promote skin repair, focusing on SKPs (skin-derived precursors) a dermal precursor cell population. Libraries of compounds already used in humans were screened for their ability to enhance the self-renewal of human and rodent SKPs. We identified and validated 5 such compounds, and showed that two of them, alprostadil and trimebutine maleate, enhanced the repair of full thickness skin wounds in middle-aged mice. Moreover, SKPs isolated from drug-treated skin displayed long-term increases in self-renewal when cultured in basal growth medium without drugs. Both alprostadil and trimebutine maleate likely mediated increases in SKPs self-renewal by moderate hyperactivation of the MEK-ERK pathway. These findings identify candidates for potential clinical use in human skin repair, and provide support for the idea that pharmacological activation of endogenous tissue precursors represents a viable therapeutic strategy.

Publication Title

Identification of Drugs that Regulate Dermal Stem Cells and Enhance Skin Repair.

Sample Metadata Fields

Treatment

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accession-icon GSE12161
Transcriptome profiling of control and TNFalpha treated HepG2 cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The proinflammatory cytokine, TNFalpha is critical in maintaining liver homeostasis since it is a major determiner of hepatocyte life and death. Considering this, gene transcription profiling was examined in control and TNFalpha treated HepG2 cells. Results indicated that TNFalpha could significantly alter the expression of a significant number of genes; most of them were functionally distributed among molecular functions like catalytic activity, binding, molecular transducer activity, transporter activity, translation and transcription regulator activities or enzyme regulator activity. Also, within genes up-regulated by TNFalpha, several GO terms related to lipid and fat metabolism were significantly overrepresented indicating global dysregulation of fat metabolism within the hepatocyte and those within the down-regulated dataset included genes involved in immunoglobulin receptor activity and IgE binding thereby indicating a compromise in immune defense mechanism(s) apart from those involved the DNA binding and protein binding categories. The interacting network of lipid metabolism, small molecule biochemistry was derived to be significantly affected that correlated well with the top canonical pathway of biosynthesis of steroids and molecular and cellular function of lipid metabolism. All these indicate TNFalpha to be significantly altering the transcriptome profiling within HepG2 cells with genes involved in lipid and steroid metabolism being the most favoured. This study suitably addresses the genes that determine TNFalpha mediated alterations within the hepatocyte mainly the phenotypes of hepatic steatosis and fatty liver that are associated with several hepatic pathological states.

Publication Title

Gene expression profiling and network analysis reveals lipid and steroid metabolism to be the most favored by TNFalpha in HepG2 cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE39955
Expression data comparing Pten-, p53-, and combined deficient mouse mammary tumors
  • organism-icon Mus musculus
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To model the effect of Pten loss on breast cancer, we deleted Pten using a floxed allele and the deleter lines MMTV-Cre(NLST), which targets stem/bi-potent progenitor cells, and WAP-Cre, which targets CD24-positive, pregnancy-identified stem cells/alveolar progenitors. Mammary tumors were detected in WAP-Cre:Ptenf/f females with a latency of 15.2 months. By 18 months, nearly all mice had succumbed to cancer. MMTV-Cre:Ptenf/f mice developed mammary tumors after a longer latency of 26.4 months and reduced penetrance (70%) compared to WAP-Cre:Ptenf/f mice. Tumors from both models were heterogeneous, consisting primarily of differentiated adenocarcinoma (adenomyoepithelioma; ~70%) and adenosquamous carcinoma (20-25%). In addition, a small fraction of tumors was classified as acinar and poorly differentiated adenocarcinoma (4-7%) and adenosarcoma (3-4%). To test the consequences of combined Pten and p53 gene mutation on breast cancer, we deleted both genes via MMTV-Cre or WAP-Cre. Kaplan-Meier tumor free survival curves revealed that WAP-Cre:Ptenf/f:p53f/f and MMTV-Cre:Ptenf/f:p53f/f females developed tumors with reduced latency of 11.3 and 9.8 months, compared with 15.2, 26.4, and 16.9 months for single-mutant WAP-Cre:Ptenf/f, MMTV-Cre:Ptenf/f or MMTV-Cre:p53f/f mice, respectively. In contrast to the heterogeneity of Pten tumors and small percentage of adenosarcomas in these mice, ~70% of Pten:p53 lesions were histologically classified as adeno-sacrcomatoid-like or mesenchymal-like breast cancer, with the rest exhibiting mixed mesenchymal plus adenocarcinomas and differentiated adenocarcinomas. The adeno-sacrcomatoid-like tumors expressed the mesenchymal markers vimentin, K5, SMA, N-cadherin and desmin but not ER, as well as islands of luminal-like K18 expressing cells surrounded by a layer of K14-positive cells.

Publication Title

Combined deletion of Pten and p53 in mammary epithelium accelerates triple-negative breast cancer with dependency on eEF2K.

Sample Metadata Fields

Specimen part

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accession-icon GSE77533
Transcriptome profiling of SW480 cells treated or untreated with Floxuridine (FUdR)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Colorectal cancer cells with TP53 mutation are highly resistant to chemotherapeutics. In order to identify potential chemo-resistance signatures, here; we explored the global gene expression profiles of drug resistant colorectal cancer cell line SW480 upon Floxuridine (FdUrd) treatment using Illumina Human HT-12 v4.0 Expression Beadchip Array. Further, significantly altered genes were subjected to the pathway analysis in GeneCodis3 and crucial signaling pathways were found to be enriched. Upon further functional validations, these pathways could be targeted to enhance therapy in human cancers harboring mutant p53.

Publication Title

Transcriptome profiling identifies genes and pathways deregulated upon floxuridine treatment in colorectal cancer cells harboring GOF mutant p53.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment

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accession-icon GSE36933
Regulation of Pattern Recognition Receptors by the Apolipoprotein A-I Mimetic Peptide 4F
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The apolipoprotein A-I (apoA-I) mimetic peptide 4F displays prominent anti-inflammatory properties, including the ability to reduce vascular macrophage content. Macrophages are a heterogenous group of cells, represented by two principal phenotypes, the classically activated M1 macrophage and an alternatively activated M2 phenotype. We recently reported that 4F favors the differentiation of human monocytes to an anti-inflammatory phenotype similar to that displayed by M2 macrophages. In the current study, microarray analysis of gene expression in monocyte-derived macrophages (MDMs) was carried out to identify inflammatory pathways modulated by 4F treatment. ApoA-I treatment of MDMs served as a control. Transcriptional profiling revealed that 4F and apoA-I modulated expression of 113 and 135 genes that regulate inflammatory responses, respectively. Cluster heat maps revealed that 4F and apoA-I induced similar changes in expression for 69 common genes. Modulation of other gene products, including STAT1 and PPARG, were unique for 4F treatment. Besides modulating inflammatory responses, 4F was found to alter gene expression in cell-to-cell signaling, cell growth/proliferation, lipid metabolism and cardiovascular system development. These data suggest that the protective effects of 4F in a number of disease states may be due to underlying changes in monocyte/macrophage gene expression.

Publication Title

Regulation of pattern recognition receptors by the apolipoprotein A-I mimetic peptide 4F.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE71219
Gene Expression in Human Vastus Lateralis after PrimaVie Shilajit Supplementation
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Changes in Gene exporession after 8 weeks of PrimaVie Shilajit Supplementation were measured in vastus lateralis

Publication Title

The Human Skeletal Muscle Transcriptome in Response to Oral Shilajit Supplementation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP078248
Adrenalectomy plus corticosterone treatment, rat hippocampal RNA-seq
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Male Sprague-Dawley rats 8 weeks old, were adrenalectomized, treated with 300ug/kg corticosterone or vehicle 3 days after surgery then sacrificed 1 hour later. Hippocampi were removed and RNA extracted and processed for sequencing at the Massachusetts General Hospital Nex-Generation Sequening Core. Overall design: Includes 6 cort treated and 6 control biological replicates

Publication Title

Stress and corticosteroids regulate rat hippocampal mitochondrial DNA gene expression via the glucocorticoid receptor.

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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