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accession-icon SRP055411
Oncogenic MYC induces a dependency on the spliceosome in human cancer
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

c-MYC (MYC) overexpression or hyperactivation is one of the most common drivers of human cancer. Despite intensive study, the MYC oncogene remains recalcitrant to therapeutic inhibition. Like other classic oncogenes, hyperactivation of MYC leads to collateral stresses onto cancer cells, suggesting that tumors harbor unique vulnerabilities arising from oncogenic activation of MYC. Herein, we discover the spliceosome as a new target of oncogenic stress in MYC-driven cancers. We identify BUD31 as a MYC-synthetic lethal gene, and demonstrate that BUD31 is a splicing factor required for the assembly and catalytic activity of the spliceosome. Core spliceosomal factors (SF3B1, U2AF1, and others) associate with BUD31 and are also required to tolerate oncogenic MYC. Notably, MYC hyperactivation induces an increase in total pre-mRNA synthesis, suggesting an increased burden on the core spliceosome to process pre-mRNA. In contrast to normal cells, partial inhibition of the spliceosome in MYC-hyperactivated cells leads to global intron retention, widespread defects in pre-mRNA maturation, and deregulation of many essential cell processes. Importantly, genetic or pharmacologic inhibition of the spliceosome in vivo impairs survival, tumorigenicity, and metastatic proclivity of MYC-dependent breast cancers. Collectively, these data suggest that oncogenic MYC confers a collateral stress on splicing and that components of the spliceosome may be therapeutic entry points for aggressive MYC-driven cancers. Overall design: Examination of intron rentention in MYC-ER HMECs, in 4 conditions

Publication Title

The spliceosome is a therapeutic vulnerability in MYC-driven cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP075776
Analysis of polysomal enrichment and depletion of mRNA in untreated and TGF-beta treated MCF-10A and MCF7 cells
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

We have performed sucrose-gradient-based isolation of polysomal fractions from untreated and TGF-beta treated MCF-10A and MCF7 cells, subjected these fractions to RNA-seq, and also sequenced total mRNA from each cell line in the treated and untreated condition Overall design: Examination of two different cell types in a treated and untreated state

Publication Title

CELF1 is a central node in post-transcriptional regulatory programmes underlying EMT.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE68643
PBX3 cooperates with MEISI in causing rapid acute myeloid leukemia and recapitulates the core transcriptome of MLL-rearranged leukemia
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

To investigate whether co-expression of PBX3/MEIS1 can mimic that of MLL-AF9, HOXA9/MEIS1 or HOXA9/PBX3 in inducing leukemogenesis, we conducted in vivo mouse bone marrow transplantation (BMT) assays. Briefly, normal mouse bone marrow (BM) progenitor (i.e., lineage negative; Lin-) cells collected from B6.SJL (CD45.1) donor mice (CD45.1) were retrovirally co-transduced with MSCVneo-MLL-AF9+MSCV-PIG (MLL-AF9), MSCVneo-HOXA9+MSCV-PIG (HOXA9), MSCVneo-HOXA9+MSCV-PIG-MEIS1 (HOXA9+MEIS1), MSCVneo-HOXA9+MSCV-PIG-PBX3 (HOXA9+PBX3), MSCV-PIG-PBX3+MSCVneo-MEIS1 (PBX3+MEIS1), MSCVneo+MSCV-PIG-PBX3 (PBX3) , MSCVneo+MSCV-PIG-MEIS1 (MEIS1), or MSCVneo+MSCV-PIG (normal control; NC). Retrovirally transduced cells then were cultured with cytokines as well as puromycin and G418. Seven days later, the donor cells were transplanted into lethally irradiated (960 rads) 8- to 10-week-old C57BL/6 (CD45.2) recipient mice. The transplanted mice were watched for leukemogenesis. Then, gene expression profiling was conducted with bone marrow samples collected from leukemia groups and control group.

Publication Title

PBX3 and MEIS1 Cooperate in Hematopoietic Cells to Drive Acute Myeloid Leukemias Characterized by a Core Transcriptome of the MLL-Rearranged Disease.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE63303
Expression data from Ankrd11Yod/+ and WT embryonic cortical neurospheres
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Ankrd11 is a potential chromatin regulator implicated in neural development and autism spectrum disorder (ASD) with no known function in the brain. Here, we show that knockdown of Ankrd11 in developing murine or human cortical neural precursors caused decreased proliferation, reduced neurogenesis, and aberrant neuronal positioning. Similar cellular phenotypes and aberrant ASD-like behaviors were observed in Yoda mice carrying a point mutation in the Ankrd11 HDAC-binding domain. Consistent with a role for Ankrd11 in histone acetylation, Ankrd11 was associated with chromatin, colocalized with HDAC3, and expression and histone acetylation of Ankrd11 target genes were altered in Yoda neural precursors. Moreover, the Ankrd11 knockdown-mediated decrease in precursor proliferation was rescued by inhibiting histone acetyltransferase activity or expressing HDAC3. Thus, Ankrd11 is a crucial epigenetic regulator of neural development that controls histone acetylation and gene expression, thereby providing a likely explanation for its association with cognitive dysfunction and ASD.

Publication Title

Ankrd11 is a chromatin regulator involved in autism that is essential for neural development.

Sample Metadata Fields

Specimen part

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accession-icon GSE14810
Microarray data from murine C3H/10T1/2 and 3T3 L1 adipocytes
  • organism-icon Mus musculus
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Growing evidence indicates that PPAR agonists, such as rosiglitazone (RSG,), induce adipose mitochondrial biogenesis. Using microarrays, we systematically analyzed nucleus-encoded mitochondrial gene expression in two common murine adipocyte models, 3T3 L1 and C3H/10T1/2 adipocytes, and aimed to further establish the direct role of RSG, and capture the temporal changes in mitochondrial gene transcription during this process.

Publication Title

Rosiglitazone Induces Mitochondrial Biogenesis in Differentiated Murine 3T3-L1 and C3H/10T1/2 Adipocytes.

Sample Metadata Fields

Specimen part

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accession-icon SRP045204
Human MDA-MB-231 Cell HITS-CLIP RNA sequencing
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

HITS-CLIP of control and transfected cells to find direct targetting of miR-200 family to mRNA

Publication Title

Genome-wide identification of miR-200 targets reveals a regulatory network controlling cell invasion.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE11732
Runx transcriptional program for control of cell adhesion and survival
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The Runx genes are important in development and cancer, where they can act either as oncogenes or tumour supressors. We compared the effects of ectopic Runx expression in established fibroblasts, where all three genes produce an indistinguishable phenotype entailing epithelioid morphology and increased cell survival under stress conditions. Gene array analysis revealed a strongly overlapping transcriptional signature, with no examples of opposing regulation of the same target gene. A common set of 50 highly regulated genes was identified after further filtering on regulation by inducible RUNX1-ER. This set revealed a strong bias toward genes with annotated roles in cancer and development, and a preponderance of targets encoding extracellular or surface proteins reflecting the marked effects of Runx on cell adhesion.

Publication Title

Gene array analysis reveals a common Runx transcriptional programme controlling cell adhesion and survival.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE65939
Both gain and loss of function of miR-126 promote t(8;21) leukemia progression with different consequences and through different mechanisms
  • organism-icon Mus musculus
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

To investigate the pathological effect of miR-126 on the progression of acute myeloid leukemia (AML) induced by AML1-ETO9a (AE9a), we conducted a series of mouse bone marrow transplantation (BMT) assays with the following groups: AE9a (primary donor cells were wild-type mouse bone marrow progenitor (i.e., lineage negative; Lin-) cells retrovirally transduced with MSCV-PIG-AE9a), AE9a+miR-126 (primary donor cells were wild-type mouse bone marrow progenitor (i.e., Lin-) cells retrovirally transduced with MSCV-PIG-AE9a-miR-126), and miR-126KO+AE9a (primary donor cells were miR-126 knockout mouse bone marrow progenitor (i.e., Lin-) cells retrovirally transduced with MSCV-PIG-AE9a), along with a control group (primary donor cells were wild-type mouse bone marrow progenitor (i.e., Lin-) cells retrovirally transduced with MSCV-PIG empty vector). The control group was only used in the primary and secondary BMT assays, whereas the three leukemic groups including AE9a, AE9a+miR-126 and miR-126KO+AE9a were used in four passages (i.e., primary, secondary, tertiary and quaternary) of BMT assays. Then, gene expression profiling was conducted with bone marrow samples collected from different groups to decipher the molecular mechanisms underlying miR-126 effects on leukemia initiation and progression and maintenance and self-renewal of leukemia stem/initiating cells.

Publication Title

Overexpression and knockout of miR-126 both promote leukemogenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE48296
Expression data from human sarcoma patient samples treated with either vehicle control or Nutlin-3a
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This study has examined the molecular mechanisms underlying sensitivity of sarcomas to Nutlin-3a, a non-genotoxic activator of the p53 pathway. Human patient material was collected immediately following surgical resection, dissected into small pieces and ex planted onto gelatin sponges immersed in media containing either vehicle control or Nutlin-3a (10uM and/or 50uM) for 48 hours.

Publication Title

Nutlin-3a efficacy in sarcoma predicted by transcriptomic and epigenetic profiling.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE20155
Comparative transcriptome analysis of yeast expressing the fungal desaturases
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

To study how the presence of PUFAs influences central cellular processes, and in order to perform lipidome, transcriptome and molecular studies we decided to use yeast as a model organism. We therefore co-expressed 12-desaturase and 6- desaturase genes from Mucor rouxii in S. cerevisiae with the objective to obtain a yeast strain that contains PUFAs, especially linoleic acid (LA, C18:29,12) and -linolenic acid (GLA, C18:36,9,12), in its membranes.

Publication Title

Heterologous production of polyunsaturated fatty acids in Saccharomyces cerevisiae causes a global transcriptional response resulting in reduced proteasomal activity and increased oxidative stress.

Sample Metadata Fields

Time

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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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