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accession-icon GSE34948
Expression data from three endothelial cell lines derived from murine embryonic stem cells expressing VE-cadherin, N-cadherin or both
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Endothelial cells (ECs) express two members of the cadherin family, VE- and N-cadherin. While VE-cadherin induces EC homotypic adhesion, N-cadherin function in ECs remains largely unknown. EC-specific inactivation of either VE- or N-cadherin leads to early foetal lethality suggesting that these cadherins play a non-redundant role in vascular development.

Publication Title

Overlapping and divergent signaling pathways of N-cadherin and VE-cadherin in endothelial cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE11674
Genes up-regulated by VE-cadherin expression and clustering at junctions
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

In order to identify genes regulated by VE-cadherin expression, we compared a mouse VE-cadherin null cell line (VEC null) with the same line reconstituted with VE-cadherin wild type cDNA (VEC positive). The morphological and functional properties of these cell lines were described previously [Lampugnani,M.G. et al. Contact inhibition of VEGF-induced proliferation requires vascular endothelial cadherin, beta-catenin, and the phosphatase DEP-1/CD148. J. Cell Biol. 161, 793-804 (2003)]. By Affymetrix gene expression analysis we found several genes up-regulated by VE-cadherin, among which claudin-5 reached remarkably high levels. The up-regulation of these genes required not only VE-cadherin expression but also cell confluence suggesting that VE-cadherin clustering at junctions was needed.

Publication Title

Endothelial adherens junctions control tight junctions by VE-cadherin-mediated upregulation of claudin-5.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE22555
Expression data of MMTV-PyMT mice mammary tumor with or without JAM-A
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Junction Adhesion Molecule-A (JAM-A) is present on leukocytes and platelets where it promotes cell adhesion and motility. We are interested in an interaction between JAM-A and tumor progression/metastases. To address this point, we mated JAM-A-/- mice and mouse mammary tumor model MMTV-PyMT mice which, which express polyoma middle T antigen under the control of mouse mammary tumor virus. MMTV-PyMT mice show 100% penetration of mammary tumor and highly metastases to lung. MMTV-PyMT mice without JAM-A show less primary tumor progression, therefore JAM-A enhance primary tumor progression. Then we are addressing the molecular mechanism of this phenomenon by in vivo. Furthermore, we would like to examine JAM-A deficient MMTV tumor signature.

Publication Title

Abrogation of junctional adhesion molecule-A expression induces cell apoptosis and reduces breast cancer progression.

Sample Metadata Fields

Specimen part

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accession-icon SRP018234
Physiological Vascular Permeability Requires Induction of Endothelial NR4A1 by Progesterone Receptor [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Vascular permeability is frequently associated with inflammation and it is triggered by chemokines and by a cohort of secreted permeability factors, such as VEGF. In contrast, here we showed that the physiological vascular permeability that precedes implantation is directly controlled by progesterone receptor (PR) and it is independent of VEGF. Both global and endothelial-specific deletion of PR block physiological vascular permeability in the uterus while misexpression of PR in the endothelium of other organs results in ectopic vascular leakage. Integration of genome-wide transcriptional profile of endothelium and ChIP-sequencing revealed that PR induces a NR4A1 (Nur77/TR3) specific transcriptional program that broadly regulates vascular permeability in response to progesterone. This program triggers concurrent suppression of several junctional proteins and leads to an effective, timely and venule-specific regulation of vascular barrier function. Silencing NR4A1 blocks PR-mediated permeability responses indicating a direct link between PR and NR4A1. These results reveal a previously unknown function for progesterone receptor on endothelial cell biology with consequences to physiological vascular permeability and implications to the clinical use of progestins and anti-progestins on blood vessel integrity. Overall design: Examination of PR target genes in human umbilical vein endothelial cells (HUVECs) using RNA-seq (PR infected only -PR only and PR infected followed by ligand treatment-PR+P)

Publication Title

Progesterone receptor in the vascular endothelium triggers physiological uterine permeability preimplantation.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE7360
Equine Laminitis vs Control.
  • organism-icon Equus caballus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Equine lameller tissues were collected to compare normal vs laminitis generated differences in transcriptom level.

Publication Title

Gene expression in the lamellar dermis-epidermis during the developmental phase of carbohydrate overload-induced laminitis in the horse.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9801
Human Monocytes to M-CSF differentiated Macrophages
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This dataset was created to study M-CSF dependent in vitro differentiation of human monocytes to macrophages as a model process to demonstrate that independent component analysis (ICA) is a useful tool to support and extend knowledge-based strategies and to identify complex regulatory networks or novel regulatory candidate genes.

Publication Title

Analyzing M-CSF dependent monocyte/macrophage differentiation: expression modes and meta-modes derived from an independent component analysis.

Sample Metadata Fields

Specimen part

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accession-icon GSE69454
Expression data from decitabine-treated and non-treated BR5FVB1-Akt cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The DNA methyl transferase inhibitor decitabine regulates gene expression in cancer cells.

Publication Title

Decitabine Enhances Lymphocyte Migration and Function and Synergizes with CTLA-4 Blockade in a Murine Ovarian Cancer Model.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP078332
H3.3 depletion has a mild effect on the global transcriptome
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Transcriptomic analysis of H3.3 KO/Kd mouse embryonic fibroblasts (MEFs) Overall design: We isolated total RNA from control shRNA treated or shH3.3A treated H3.3B KO MEFs and carried out Ribozero RNA-seq analysis. RNA-seq analysis was carried out on pooled datasets from biological duplicate experiments.

Publication Title

Histone H3.3 regulates mitotic progression in mouse embryonic fibroblasts.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP071580
Interleukin 4 induces apoptosis of acute myeloid leukemia cells in a Stat6-dependent manner
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Acute myeloid leukemia (AML) is associated with poor prognosis, and there is a strong need to develop new therapeutic strategies to improve treatments. We performed a cytokine screen with 114 recombinant proteins to identify selective negative regulators of primitive murine AML cells relative to normal bone marrow cells. The top candidate identified was interleukin 4 (IL4), as it showed the most selective inhibition of leukemia cell growth. Stimulating leukemia cells ex vivo with IL4 and transplanting the cells into mice resulted in reduced leukemia burden and prolonged survival compared with controls. In contrast, IL4 did not inhibit the function of normal hematopoietic stem and progenitor cells in long-term bone marrow repopulation assays. Moreover, we found that IL4 treatment of leukemia cells induced Stat6 phosphorylation, and that leukemia cells with Stat6 knocked out using CRISPR/Cas9-genetic engineering were partially resistant to IL4 stimulation, revealing Stat6 as a critical mediator of the IL4 effect. To evaluate whether IL4 has in vivo therapeutic efficacy, we expressed IL4 ectopically in leukemia cells in vivo and also injected IL4 into leukemic mice; both strategies resulted in the suppression of the leukemia cell burden and increased survival. Further analysis revealed that IL4 treatment induces apoptosis in the leukemia cells. Importantly, IL4 exposure also inhibited the growth and survival of primary AML patient cells. In summary, these findings demonstrate that IL4 selectively inhibits AML cells in a Stat6-dependent manner, thus revealing IL4 as a candidate therapeutic agent in AML. IL4 (ProSpec, East Brunswick NJ, USA) was resuspended following the provider guidelines and stored in aliquotes at -80 °C. Mouse MLL-AF9 leukemia cells were provided by Dr. Benjamin Ebert (Brigham and Women’s Hospital, Boston MA, USA). The murine leukemia cells were cultured in SFEM (StemCell Tech) supplemented with 1% penicillin/streptomycin at 37 °C with 5% CO2. Overall design: Mouse MLL-AF9 leukemia cells were grown in 20 ng/mL IL3 with or without IL4 (100 ng/mL) for 18 hours.

Publication Title

Interleukin 4 induces apoptosis of acute myeloid leukemia cells in a Stat6-dependent manner.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP150673
FoxA1 and FoxA2 are required for gastric differentiation in NKX2-1-negative lung adenocarcinoma [single cell analysis]
  • organism-icon Mus musculus
  • sample-icon 134 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Profound changes in cancer cell identity can alter malignant potential and therapeutic response. Loss of the pulmonary lineage specifier NKX2-1 augments the growth of KRAS-driven lung adenocarcinoma and causes pulmonary to gastric transdifferentiation. Here we show that the transcription factors FoxA1 and FoxA2 are required for initiation of mucinous NKX2-1-negative lung adenocarcinomas in the mouse and for activation of their gastric differentiation program. Foxa1/2 deletion severely impairs tumor initiation and causes a proximal shift in cellular identity, yielding tumors expressing markers of the squamocolumnar junction of the gastrointestinal tract. In contrast, stochastic loss of FoxA1/2 expression in NKX2-1-negative tumors is associated with keratinizing squamous differentiation. Using sequential in vivo recombination, we find that FoxA1/2 loss in established KRAS-driven neoplasia is sufficient for direct induction of keratinizing squamous cell carcinomas in the lung. Thus, NKX2-1, FoxA1 and FoxA2 coordinately regulate the growth and identity of lung adenocarcinoma in a context-specific manner. Overall design: Murine lung tumor cells of differing genotypes were isolated by FACS and subjected to single cell analysis using the Fluidigm C1 platform.

Publication Title

FoxA1 and FoxA2 drive gastric differentiation and suppress squamous identity in NKX2-1-negative lung cancer.

Sample Metadata Fields

Specimen part, Cell line, 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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