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accession-icon GSE12211
Gene expression of CML CD34+ cells during Imatinib therapy
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Imatinib has become the current standard therapy for patients with chronic myelogenous leukaemia (CML). For a better understanding of the Imatinib-related molecular effects in vivo, we assessed gene expression profiles of Philadelphia Chromosome positive (Ph+) CD34+ cells from peripheral blood of 6 patients with de novo CML in chronic phase. After 7 days of treatment with Imatinib the Ph+ CD34+ cells were reassessed to look for changes in the transcriptome. The expression level of 303 genes was significantly different comparing the transcriptome of the Ph+ CD34+ cells before and after 7 days of Imatinib therapy (183 down-regulated, 120 up-regulated, lower bound 1.2-fold). For a substantial number of genes governing cell cycle and DNA replication, the level of expression significantly decreased (CDC2, RRM2, PCNA, MCM4). On the other hand, therapy with Imatinib was associated with an increase of genes related to adhesive interactions, such as L-selectin or CD44. A group of 8 genes with differential expression levels were confirmed using a gene specific quantitative real-time PCR. Thus, during the first week of treatment, Imatinib is preferentially counteracting the bcr-abl induced effects related to a disturbed cell cycle and defective adhesion of leukemic Ph+ CD34+ cells.

Publication Title

Early in vivo changes of the transcriptome in Philadelphia chromosome-positive CD34+ cells from patients with chronic myelogenous leukaemia following imatinib therapy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE59337
Malignant-like transformation of normal stem and progenitor cells by myeloid leukemia
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

It has long been known that leukemic cells disrupt normal patterns of blood cell formation, but little is understood about mechanisms. It has generally been assumed that normal hematopoietic stem and progenitor cells (HSPC) are simply out-competed for space by malignant cells. We designed a strategy to determine if leukemic cells alter intrinsic properties and functions of normal HSPCs. Chimeric mice were generated by transplantation of normal marrow and marrow from an inducible transgenic model of chronic myelogenous leukemia (CML). With induction of CML, the composition of the marrow changed dramatically, and normal HSPCs divided more readily and lost their ability to produce lymphocytes. In contrast, only modest changes were recorded in numbers of normal hematopoietic stem cells (HSCs). However, these stem cells were not unscathed, and had reduced reconstitution and self-renewal potential upon transplantation. Interestingly, the normal bystander cells acquired gene expression patterns resembling their neighboring malignant counterparts. This suggested that much of the leukemia signature is mediated by extrinsic factors in the environment.

Publication Title

Treatment of chronic myelogenous leukemia by blocking cytokine alterations found in normal stem and progenitor cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE11889
The hematopoietic stem cell in chronic phase CML is characterized by a transcriptional profile resembling normal myeloid progenitor cells and reflecting loss of quiescence
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We found that composition of cell subsets within the CD34+ cell population is markedly altered in chronic phase (CP) chronic myeloid leukemia (CML). Specifically, proportions and absolute cell counts of common myeloid progenitors (CMP) and megakaryocyte-erythrocyte progenitors (MEP) are significantly greater in comparison to normal bone marrow whereas absolute numbers of hematopoietic stem cells (HSC) are equal. To understand the basis for this, we performed gene expression profiling (Affymetrix HU-133A 2.0) of the distinct CD34+ cell subsets from six patients with CP CML and five healthy donors. Euclidean distance analysis revealed a remarkable transcriptional similarity between the CML patients' HSC and normal progenitors, especially CMP. CP CML HSC were transcriptionally more similar to their progeny than normal HSC to theirs, suggesting a more mature phenotype. Hence, the greatest differences between CP CML patients and normal donors were apparent in HSC including downregulation of genes encoding adhesion molecules, transcription factors, regulators of stem-cell fate and inhibitors of cell proliferation in CP CML. Impaired adhesive and migratory capacities were functionally corroborated by fibronectin detachment analysis and transwell assays, respectively. Based on our findings we propose a loss of quiescence of the CML HSC on detachment from the niche leading to expansion of myeloid progenitors.

Publication Title

The hematopoietic stem cell in chronic phase CML is characterized by a transcriptional profile resembling normal myeloid progenitor cells and reflecting loss of quiescence.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE24870
Gene expression profiling of CD34+ subsets in Multiple Myeloma and healthy individuals
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Multiple myeloma (MM) is a clonal plasma cell disorder frequently accompanied by hematopoietic impairment. Genomic profiling of distinct HSPC subsets revealed a consistent deregulation of signaling cascades, including TGF beta signaling, p38MAPK signaling and pathways involved in cytoskeletal organization, migration, adhesion and cell cycle regulation in MM patients.

Publication Title

Multiple myeloma-related deregulation of bone marrow-derived CD34(+) hematopoietic stem and progenitor cells.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE60615
miRNAs in Treg-derived Exosomes
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Foxp3+ regulatory T (Treg) cells prevent inflammatory disease but the mechanistic basis of suppression is not understood completely . Gene silencing by RNA interference can act in a cell-autonomous and non-cell-autonomous manner, providing mechanisms of inter-cellular regulation. Here, we demonstrate that non-cell-autonomous gene silencing, mediated by miRNA-containing exosomes, is a mechanism employed by Treg cells to suppress T cell-mediated disease. Treg cells transferred microRNAs (miRNA) to various immune cells, including T helper 1 (Th1) cells, suppressing Th1 cell proliferation and cytokine secretion. Use of Dicer-deficient or Rab27a and Rab27b double-deficient Treg cells to disrupt miRNA-biogenesis or the exosomal pathway, respectively, established a requirement for miRNAs and exosomes for Treg cell-mediated suppression. Transcriptional analysis and miRNA inhibitor studies showed that exosome-mediated transfer of Let-7d from Treg cell to Th1 cells contributed to suppression and prevention of systemic disease. These studies reveal a mechanism of Treg cell-mediated suppression mediated by miRNA-containing exosomes.

Publication Title

MicroRNA-containing T-regulatory-cell-derived exosomes suppress pathogenic T helper 1 cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE98518
Gene expression analysis of ex-Foxp3 Th2 cells during Heligmosomoides polygyrus infection
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Gene expression of Treg cells that have lost Foxp3 expression and acquired Il4 expression following adoptive transfer into T-cell deficient mice (HpTR-IL-4gfp+), cmpared to conventional Treg cells isolated from H. polygyrus-infected wild-type mice (HpTR) and Th2 cells generated from nave T cells following adoptive transfer into H. polygyrus-infected T-cell deficient mice (nT-IL-4gfp+).

Publication Title

Interleukin 4 promotes the development of ex-Foxp3 Th2 cells during immunity to intestinal helminths.

Sample Metadata Fields

Specimen part

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accession-icon GSE2175
Differential gene expression in pituitary adenomas by oligonucleotide array analysis
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This series includes the four major subtypes of pituitary adenomas and normal post-mortem pituitary tissue

Publication Title

Differential gene expression in pituitary adenomas by oligonucleotide array analysis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE105416
Gene and microRNA expression data from neuroendocrine transdifferentiated and untreated prostate cancer cell line LNCaP
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Prostate tumors contain foci of neuroendocrine transdifferentiation (NETD), resulting in an increase of androgen-independent neuroendocrine-like (NE) tumor cells, whose number significantly correlates with tumor aggressiveness and a lower survival rate. The mechanisms leading to NETD and the exact role of NE-like tumor cells in disease progression are not fully understood yet.

Publication Title

The deregulation of miR-17/CCND1 axis during neuroendocrine transdifferentiation of LNCaP prostate cancer cells.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP167701
ImmGen ULI: OpenSource Mononuclear Phagocytes Project
  • organism-icon Mus musculus
  • sample-icon 412 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Primary RNASeq data for progenitor, resident, and stimulated (C.alb, LPS, injury, APAP+ starved overnight and pIC) mononuclear phagocytes from fourteen organs. Overall design: RNASeq data for over 400 samples comprising of 130 populations submitted by 16 labs (both non-ImmGen and ImmGen labs) from 8 locations around the world for ImmGen OpenSource Mononuclear Project. Samples were sorted in these facilities using ImmGen's stringent ULI protocol and shipped to one location for library preparation and sequencing. Contributor: Immunological Genome Project Consortium

Publication Title

ImmGen report: sexual dimorphism in the immune system transcriptome.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon SRP176663
ImmGen ULI: Male-Female Immune Differences
  • organism-icon Mus musculus
  • sample-icon 190 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Primary RNA Seq data for 11 diverse immunocyte populations from male and female mice of varying ages stimulated with different dose of IFN and sequenced using ImmGen's standard ultra-low input RNA-seq pipeline Overall design: RNASeq data for 11 cell populations from male and female mice generated by ImmGen labs to study sexual differences in the immune system (companion ATACseq datasets are found in GSE100738). These mice comprised of varying ages, including 6-8weeks and 2- 20months old. In addition, mice were stimulated with 1K and 10K Type 1 interferon to understand sex specific responses. contributor: Immunological Genome Project Consortium

Publication Title

ImmGen report: sexual dimorphism in the immune system transcriptome.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

View Samples

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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