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accession-icon GSE74713
Isolation of highly enriched cardiac mesoderm from differentiating human embryonic stem cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

CD13 and ROR2 Permit Isolation of Highly Enriched Cardiac Mesoderm from Differentiating Human Embryonic Stem Cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP065774
CD13 and ROR2 permit isolation of highly enriched cardiac mesoderm from differentiating human embryonic stem cells
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The resultant heat map demonstrates the maturation of CD13+/ROR2+ cells as they proceed through cardiac differentiation. Overall design: RNA-seq analysis was preformed on RNA samples from undifferentiated hESCs, 13R2+ and 13R2- populations from day 3, 13R2+/NKX2-5+ and 13R2+/NKX2-5- from day 7, and 13R2+/NKX2-5+/a-MHC+ and 13R2+/NKX2-5+/MHC- from day 14

Publication Title

CD13 and ROR2 Permit Isolation of Highly Enriched Cardiac Mesoderm from Differentiating Human Embryonic Stem Cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE74664
hESC MIXL1+ MIXL1- microarray
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray analysis of isolated hES cells from day 3 of cardiac differentiation was used to identify differences between MIXL1eGFP+ and MIXL1eGFP- transcriptomes. We identified 6,757 differentially regulated genes, of which 2,520 were upregulated 2-fold in the eGFP+ (MIXL1+) mesoderm population

Publication Title

CD13 and ROR2 Permit Isolation of Highly Enriched Cardiac Mesoderm from Differentiating Human Embryonic Stem Cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE35108
Expression data from patient iPSC and iPSC-derived cardiomyocytes
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Dilated cardiomyopathy (DCM) is the leading cause of heart failure and transplantation worldwide. We used iPSCs to model this disease and compared gene expression change before and after gene therapy of cardiomyocytes derived from DCM-specific iPSCs.

Publication Title

Patient-specific induced pluripotent stem cells as a model for familial dilated cardiomyopathy.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE35229
Expression data from patient iPSC
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Baseline gene expression of patient dermal fibroblasts derived iPSCs generated by lentiviral Yamanaka 4 factors. We used microarrays to detail the global gene expression of Hypertrophic cardiomyopathy (HCM) patient specific iPSCs.

Publication Title

Abnormal calcium handling properties underlie familial hypertrophic cardiomyopathy pathology in patient-specific induced pluripotent stem cells.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE51824
Reversible and irreversible differentiation of cardiac fibroblasts
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

Aim: Differentiation of cardiac fibroblasts (Fb) into myofibroblasts (MyoFb) is responsible for connective tissue buildup in myocardial remodeling. We examined reversibility of MyoFb differentiation. Methods and Results: Adult rat cardiac Fb were cultured on a plastic substratum providing mechanical stress, with conditions to obtain different Fb phenotypes. Fb spontaneously differentiated to proliferating MyoFb (p-MyoFb) with stress fiber formation decorated with alpha-smooth muscle actin (-SMA). Transforming growth factor-1 (TGF-1) promoted terminal differentiation into -SMA positive MyoFb showing near absence of proliferation i.e. non-p-MyoFb (2-fold increase in cell number after 12 days vs 11-fold for p-MyoFb). SD-208, a TGF--receptor-I kinase blocker, inhibited p-MyoFb differentiation as shown by stress fiber absence, low levels of -SMA protein expression, and high levels of proliferation (32-fold increase after 12 days). Fb seeded in collagen matrices induced no contraction, whereas p-MyoFb and non-p-MyoFb induced 2.5- and 4-fold contraction. Fb produced low levels of collagen and secreted high levels of IL-10. Non-p-MyoFb showed high collagen production and high MCP-1 and TIMP-1 secretion. Transcriptome analysis indicated differential gene expression between all phenotypes. Dedifferentiation of p-MyoFb, but not of non-p-MyoFb, was induced by SD-208 despite maintained stress, shown by stress fiber de-polymerization in 30% of p-MyoFb vs in 8% of non-p-MyoFb. Stress fiber de-polymerization could be induced by mechanical strain release in p-MyoFb and non-p-MyoFb (2 day culture in unrestrained 3-D collagen matrices). Only p-MyoFb showed true dedifferentiation after long-term 3-D culture. Conclusions: Both reduction in mechanical strain and TGF--receptor-I kinase inhibition can reverse p-MyoFb differentiation but not in non-p-MyoFb.

Publication Title

Reversible and irreversible differentiation of cardiac fibroblasts.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE117247
Ruxolitinib inhibits Cyclosporine-induced proliferation of cutaneous squamous cell carcinoma
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Organ transplant recipients (OTRs) on Cyclosporine A (CSA) are prone to catastrophic cutaneous squamous cell carcinoma (SCC). Allograft-sparing, cancer-targeting systemic treatments are unavailable. We have shown increased risk for catastrophic SCC in OTRs via CSA-mediated induction of Interleukin-22 (IL-22). Herein, we found CSA drives SCC proliferation and tumor growth through IL-22 and JAK/STAT pathway induction. We in turn inhibited SCC growth with an FDA-approved JAK 1/2 inhibitor, Ruxolitinib. In human SCC cells, greatest proliferative response to IL-22 and CSA treatment occurred in non-metastasizing lines. IL-22 treatment upregulated JAK1 and STAT1/3 in A431 SCC cells. JAK/STAT pathway genes were highly expressed in tumors from a cohort of CSA-exposed OTRs, and in SCC with high risk for metastasis. Compared to immunocompetent SCC, genes associated with innate immunity, response to DNA damage and p53 regulation were differentially expressed in SCC from OTRs. In nude mice engrafted with human A431 cells, IL-22 and CSA treatment increased tumor growth and upregulated IL-22 receptor, JAK1 and STAT 1/3 expression. Ruxolitinib treatment significantly reduced tumor volume and reversed the accelerated tumor growth. CSA and IL-22 exacerbate aggressive behavior in SCC. Targeting the IL-22 axis via selective JAK/STAT inhibition may reduce the progression of aggressive SCC in OTRs, without compromising immunosuppression.

Publication Title

Ruxolitinib inhibits cyclosporine-induced proliferation of cutaneous squamous cell carcinoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE55512
Gene-expression profiles of ovarian cancer regarding its microenvironment
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

PD-L1 suppresses host immunity and promotes tumor growth. We investigated how IFN- regulates PD-L1 in the ovarian cancer microenvironment. In clinical samples, the number of stromal CTLs in peritoneally disseminated tumors was correlated with PD-L1 expression on the tumor cells, and the lymphocyte number was significantly related to the IFN- signature score. In mouse models, PD-L1 was induced in peritoneal disseminated tumors, where lymphocytes were prominent, but not in subcutaneous tumors. Depleting IFNGR1 resulted in lower PD-L1 expression and longer survival in peritoneal dissemination model. Injection of IFN- into subcutaneous tumors increased PD-L1 expression and tumor size, and PD-L1 depletion abrogated tumor growth. These data suggest that IFN- works as a tumor progressor through PD-L1 induction. The source of IFN- in ovarian cancer microenvironment and its biological effect to the tumor cells is unclear. The immortalized human ovarian surface epithelial cell line, HOSE-E7/hTERT (HOSE) was treated with IFN- and expression microarray analysis was performed, and probes showing significantly higher values in IFN--added group were termed IFN- signature genes (295 probes). We then applied this signature to our ovarian cancer microarray data, which included 75 ovarian cancer clinical samples, by means of ss-GSEA. IFN- signature score was strongly correlated to the number of infiltrating CD4-positive or CD8-positive lymphocytes in the tumors. These data suggest that the IFN- in the ovarian cancer microenvironment is derived from lymphocytes, and an IFN--rich microenvironment is strongly correlated to a lymphocyte-rich microenvironment.

Publication Title

IFN-γ from lymphocytes induces PD-L1 expression and promotes progression of ovarian cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE70035
Expression data of squamous cervical carcinoma after chemotherapy
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The patients with locally advanced squamous cervical cancer (SCC) were examined in this study. All patients received neoadjuvant chemotherapy followed by radical hysterectomy. Tumor response against NAC was determined based on RECIST criterior. Gene-expression profiles of SCC were determined using Human Genome GeneChip arrays U133.

Publication Title

Genomic profile predicts the efficacy of neoadjuvant chemotherapy for cervical cancer patients.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE55510
Gene-expression profiles of IFN-gamma-affected HOSE cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The source of IFN- in ovarian cancer microenvironment and its biological effect to the tumor cells is unclear. The immortalized human ovarian surface epithelial cell line, HOSE-E7/hTERT (HOSE) was treated with IFN- and expression microarray analysis was performed, and probes showing significantly higher values in IFN--added group were termed IFN- signature genes (295 probes). We then applied this signature to our ovarian cancer microarray data, which included 75 ovarian cancer clinical samples, by means of ss-GSEA. IFN- signature score was strongly correlated to the number of infiltrating CD4-positive or CD8-positive lymphocytes in the tumors. These data suggest that the IFN- in the ovarian cancer microenvironment is derived from lymphocytes, and an IFN--rich microenvironment is strongly correlated to a lymphocyte-rich microenvironment.

Publication Title

IFN-γ from lymphocytes induces PD-L1 expression and promotes progression of ovarian cancer.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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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