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accession-icon GSE53385
Gene expression from normal and Msi2 KO mouse LSK cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Hematopoietic stem and progenitor cells (Lineagelo ScaI+ c-Kit+) were sorted 4 weeks post pIpC injection. RNA was extracted using TRIZOL and RNEASY RNA extraction kit. RNA was then amplified using NUGEN Pico amplification kit, fragmented and hybridized on Mouse Expression Array 430 2.0. Signal normalization was performed by RMA method. Data were analyzed using GSEA across the complete list of genes ranked by signal-to-noise ratio.

Publication Title

Musashi-2 controls cell fate, lineage bias, and TGF-β signaling in HSCs.

Sample Metadata Fields

Specimen part

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accession-icon SRP051590
Msi2 sustains the MLL leukemia stem cell regulatory program
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Leukemia stem cells (LSCs) are found in most aggressive myeloid diseases and contribute to therapeutic resistance. Genetic and epigenetic alterations cause a dysregulated developmental program in leukemia. The MSI2 RNA binding protein has been previously shown to predict poor survival in leukemia. We demonstrate that the conditional deletion of Msi2 results in delayed leukemogenesis, reduced disease burden and a loss of LSC function. Gene expression profiling of the Msi2 ablated LSCs demonstrates a loss of the HSC/LSC and an increase in the differentiation program. The gene signature from the Msi2 deleted LSCs correlates with survival in AML patients. MSI2’s maintains the MLL self-renewal program by interacting with and retaining efficient translation of Hoxa9, Myc and Ikzf2. We further demonstrate that shRNA depletion of the MLL target gene Ikzf2 also contributes to MLL leukemia cell survival. Our data provides evidence that MSI2 controls efficient translation of the oncogenic LSC self-renewal program and a rationale for clinically targeting MSI2 in myeloid leukemia. Overall design: RNA-Seq was performed on sorted c-Kit high leukemic cells from 2 Msi2 -/- and 2 Msi2 f/f mice.

Publication Title

Musashi2 sustains the mixed-lineage leukemia-driven stem cell regulatory program.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP068420
MSI2 is required for maintaining activated myelodysplastic syndrome stem cells
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Analysis of musashi2 contribution towards maintaing myelodysplastic phenotype in stem cells. We find that musashi2 plays an integral role in maintaining the myelodysplastic phenotype Overall design: Control, NUP98-HOXD13; NHD13, NHD13/MSI2 bone marrow was transplated allowed to engraft into lethally irradiated congenic CD45.1 animals. Mice were then fed doxycycline to induce MSI2 overexpression. Mice were induced for 3 months and then CD45.2 Lineage lo Sca1+ and Kit+ cells were sorted and then assessed for gene expression.

Publication Title

MSI2 is required for maintaining activated myelodysplastic syndrome stem cells.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon GSE60990
Mutations in G protein beta subunits promote transformation and kinase inhibitor resistance.
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Activating mutations of G protein alpha subunits (Ga) occur in 4-5% of all human cancers1 but oncogenic alterations in beta subunits (Gb) have not been defined. Here we demonstrate that recurrent mutations in the Gb proteins GNB1 and GNB2 confer cytokine-independent growth and activate canonical G protein signaling. Multiple mutations in GNB1 affect the protein interface that binds Ga subunits as well as downstream effectors, and disrupt Ga-Gbg interactions. Different mutations in Gb proteins clustered to some extent based on lineage; for example, all eleven GNB1 K57 mutations were in myeloid neoplasms while 6 of 7 GNB1 I80 mutations were in B cell neoplasms. Expression of patient-derived GNB1 alleles in Cdkn2a-deficient bone marrow followed by transplantation resulted in either myeloid or B cell malignancies. In vivo treatment with the dual PI3K/mTOR inhibitor BEZ235 suppressed GNB1-induced signaling and markedly increased survival. In several human tumors, GNB1 mutations co-occurred with oncogenic kinase alterations, including BCR/ABL, JAK2 V617F and BRAF V600K. Co-expression of patient-derived GNB1 alleles with these mutant kinases resulted in inhibitor resistance in each context. Thus, GNB1 and GNB2 mutations confer transformed and resistance phenotypes across a range of human tumors and may be targetable with inhibitors of G protein signaling.

Publication Title

Mutations in G protein β subunits promote transformation and kinase inhibitor resistance.

Sample Metadata Fields

Cell line, Time

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accession-icon SRP174910
MDM2 and MDM4 are Therapeutic Vulnerabilities in Malignant Rhabdoid Tumors
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Malignant rhabdoid tumors (MRT) are highly aggressive pediatric cancers that respond poorly to current therapies. We screened several MRT cell lines each with large-scale RNAi, CRISPR-Cas9, and small-molecule libraries to identify potential drug targets specific for these cancers. We discovered MDM2 and MDM4, the canonical negative regulators of p53, as significant vulnerabilities. Using two compounds currently in clinical development, idasanutlin and ATSP-7041, we show that MRT cells are more sensitive than other p53 wild-type cancer cell lines to MDM2 and dual MDM2/4 inhibition in vitro. These compounds cause significant upregulation of the p53 pathway in MRT cells, and sensitivity is ablated by CRISPR-Cas9-mediated inactivation of TP53. We show that loss of SMARCB1, a subunit of the SWI/SNF (BAF) complex mutated in nearly all MRT, sensitizes cells to MDM2 and MDM2/4 inhibition by enhancing p53-mediated apoptosis. Both MDM2 and MDM2/4 inhibition slowed MRT xenograft growth in vivo, with a five-day idasanutlin pulse causing marked regression of all xenografts including durable complete responses in 50% of mice. Together, these studies identify a genetic connection between mutations in the SWI/SNF chromatin-remodeling complex and the tumor suppressor gene p53, and provide preclinical evidence to support the targeting of MDM2 and MDM4 in this often-fatal pediatric cancer. Overall design: RNA-seq in TTC642 MRT cells treated with idasanutlin compared to DMSO

Publication Title

MDM2 and MDM4 Are Therapeutic Vulnerabilities in Malignant Rhabdoid Tumors.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE48555
Triplication of a 21q22 region contributes to B cell transformation through HMGN1 overexpression and loss of histone H3 Lys27 trimethylation
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st), Illumina HiSeq 2000

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Triplication of a 21q22 region contributes to B cell transformation through HMGN1 overexpression and loss of histone H3 Lys27 trimethylation.

Sample Metadata Fields

Specimen part

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accession-icon GSE55629
Triplication of a 21q22 region contributes to B cell transformation through HMGN1 overexpression and loss of histone H3 Lys27 trimethylation [Affymetrix]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Children with Down syndrome (DS) have a 20-fold increased risk of developing B cell acute lymphoblastic leukemia (B-ALL). Polysomy 21 (i.e., extra copies of chr.21) is also the most frequent somatic aneuploidy among all B-ALLs. Additional B-ALLs harbor intrachromosomal amplifications of chr.21q22 (iAMP21). Yet, the mechanistic links between chr.21q22 triplication and B-ALL remain undefined. Here we show that germline triplication of only 31 genes orthologous to human chr.21q22 is sufficient to confer murine B cell self-renewal in vitro, B cell maturation defects in vivo, and B-ALL in concert with either BCR-ABL or CRLF2 with activated JAK2. Chr.21q22 triplication suppresses H3K27me3 in murine progenitor B cells and B-ALLs, and bivalent genes with both H3K27me3 and H3K4me3 at their promoters in wild-type progenitor B cells are preferentially overexpressed in triplicated cells. Strikingly, human B-ALLs with polysomy 21 are distinguished by their overexpression of genes known to be marked with H3K27me3 in multiple cell types. Finally, overexpression of HMGN1, a nucleosome remodeling protein encoded on chr.21q22, suppresses H3K27me3 and promotes both B cell proliferation in vitro and B-ALL in vivo. These data implicate HMGN1 overexpression and loss of H3K27me3 in progenitor B cell transformation and suggest strategies to target leukemias with polysomy 21.

Publication Title

Triplication of a 21q22 region contributes to B cell transformation through HMGN1 overexpression and loss of histone H3 Lys27 trimethylation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE74699
RNA binding protein SYNCRIP regulates the leukemia stem cell program
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Functional screen of MSI2 interactors identifies an essential role for SYNCRIP in myeloid leukemia stem cells.

Sample Metadata Fields

Specimen part, Cell line

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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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