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accession-icon GSE41856
Cell growth in aggregates determines gene expression, proliferation, survival and chemoresistance of Follicular Lymphoma
  • organism-icon Homo sapiens
  • sample-icon 14 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

Cell growth in aggregates determines gene expression, proliferation, survival, chemoresistance, and sensitivity to immune effectors in follicular lymphoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE41855
Expression data from quiescent cells and cycling cells isolated from Multicellular aggregates of lymphoma cells (MALC)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Follicular Lymphomas are blood tumors growing as spheres in patients. Before this study, there was no experimental model mimicking the 3D organization of these in vivo tumors. We develop such a model, called MALC, and observed a progressive enrichment in quiescent cells in these with time of culture; these cells were sorted, as their cycling counterparts, and their transcriptomes were compared. We used microarrays to detail the differential global gene expression profile between quiescent and cycling cells isolated from MALC.

Publication Title

Cell growth in aggregates determines gene expression, proliferation, survival, chemoresistance, and sensitivity to immune effectors in follicular lymphoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE41851
Expression data from follicular lymphoma cells cultured either in suspension either as Multicellular aggregates of lymphoma cells (MALC)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Follicular Lymphomas are blood tumors growing as spheres in patients. Before this study, there was no experimental model mimicking the 3D organization of these in vivo tumors. We develop such a model, called MALC, and performed a pan-genomic comparative analysis between MALC and classical suspension cultures. We used microarrays to detail the global gene expression profile induced by aggregated growth of lymphoma cells.

Publication Title

Cell growth in aggregates determines gene expression, proliferation, survival, chemoresistance, and sensitivity to immune effectors in follicular lymphoma.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE84072
Expression data from CD8+TIM-3+ and CD8+TIM-3- T cells sorted from follicular lymphoma lymph nodes
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Exhaustion markers are expressed by T lymphocytes in Follicular Lymphoma (FL). Through these, TIM-3 has been recently identified as a poor pronostic factor when expressed by FL CD4+ T cells.

Publication Title

Impaired functional responses in follicular lymphoma CD8<sup>+</sup>TIM-3<sup>+</sup> T lymphocytes following TCR engagement.

Sample Metadata Fields

Specimen part, Subject

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accession-icon E-MEXP-114
Transcription profiling of hypothalamus, liver, kidney, ovaries and testis from male and female humans and mice
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a), Affymetrix Human Genome U133A Array (hgu133a)

Description

Compared differentially express genes by sex in mouse for the following tissues: hypothalamus, liver, kidney, ovaries and testis (3 biological x 2 technical replicates for each tissues/sex). We used Affymetrix MOE430A Genechip arrays.

Publication Title

Major molecular differences between mammalian sexes are involved in drug metabolism and renal function.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE64919
Genes regulated in EML1 cells expressing the TEL-AML1 oncogene after 5 and 7 days of treatment with IL7 and FLT3 ligand.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

The t(12;21) translocation is the most common genetic rearrangement in childhood acute lymphoblastic leukemia (ALL) and gives rise to the TEL-AML1 fusion gene, which functions as a transcription factor.

Publication Title

The TEL-AML1 fusion protein of acute lymphoblastic leukemia modulates IRF3 activity during early B-cell differentiation.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP188088
Stage-specific regulation of the WNT/ß-catenin pathway enhances differentiation of hESCs into hepatocytes
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Background & Aims Hepatocytes differentiated from human embryonic stem cells (hESCs) have the potential to overcome the shortage of primary hepatocytes for clinical use and drug development. Many strategies for this process have been reported, but the functionality of the resulting cells is incomplete. We hypothesize that the functionality of hPSC-derived hepatocytes might be improved by making the differentiation method more similar to normal in vivo hepatic development. Methods We tested combinations of growth factors and small molecules targeting candidate signaling pathways culled from the literature to identify optimal conditions for differentiation of hESCs to hepatocytes, using qRT-PCR for stage-specific markers to identify the best conditions. Immunocytochemistry was then used to validate the selected conditions. Finally, induction of expression of metabolic enzymes in terminally differentiated cells was used to assess the functionality of the hESC-derived hepatocytes. Results Optimal differentiation of hESCs was attained using a 5-stage protocol. After initial induction of definitive endoderm (stage 1), we showed that inhibition of the WNT/ß-catenin pathway during the 2nd and 3rd stages of differentiation was required to specify first posterior foregut, and then hepatic gut cells. In contrast, during the 4th stage of differentiation, we found that activation of the WNT/ß-catenin pathway allowed generation of proliferative bipotent hepatoblasts, which then were efficiently differentiated into hepatocytes in the 5th stage by dual inhibition of TGF-ß and NOTCH signaling. Conclusion Here, we show that stage-specific regulation of the WNT/ß-catenin pathway results in improved differentiation of hESCs to functional hepatocytes. Overall design: mRNA profiles of undifferentiated, definitive endoderm, stage 2-5 cell ines were generated by deep sequencing, in duplicate, as well as five liver samples.

Publication Title

Stage-specific regulation of the WNT/β-catenin pathway enhances differentiation of hESCs into hepatocytes.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE31280
Transcript level in F9 teratocarcinoma WT and RARalpha knockout in presence and absence of all-trans retinoic acid
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Retinoic acid receptors (RARs) , and are key regulators of embryonic development. Hematopoietic differentiation is regulated by RAR, and several types of leukemia show aberrant RAR activity. We demonstrate that RAR plays an important role in cellular memory and imprinting by regulating the CpG methylation status of specific promoter regions.

Publication Title

Epigenetic regulation by RARα maintains ligand-independent transcriptional activity.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE80654
FACS sorting of human adipose tissue stromal vascular fraction
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Adipose tissue from 6 non-obese patients was collagenase treated and adipocytes separated from the stromal vascular fraction(SVF). SVF was then FACS sorted for the following fractions CD45-/CD34+/CD31+ (endothelial), CD45-/CD34+/CD31- (progenitor), CD45+/CD14+ (monocyte/macrophage), CD45+/CD14-(Leukocyte). RNA was isolated from adipocyte, SVF, progenitor, macrophage/monocyte and leukocyte fractions and analyzed on the Affymetrix Human Transcriptome 2.0 array. We also sorted SVF from an additional 13 (10 non-obese, 9 obese) patients and sent progenitor RNA for Affymetrix Human Transcriptome 2.0 array analysis.

Publication Title

The cell-type specific transcriptome in human adipose tissue and influence of obesity on adipocyte progenitors.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE42672
Conversion of human fibroblast to endothelial cell by defined factors
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transient pluripotency-factor-based signaling-directed (TPS) transdifferentiation approach could be further applied to generate functional induced endothelial (iEnd) cells from human fibroblasts with only two factors: Oct4 and Klf4 (OK). The iEnd cells exhibit characteristic endothelial cell phenotype in vitro and in vivo and are capable of functionally promoting vascular regeneration and blood perfusion in a murine model of PAD.

Publication Title

Conversion of human fibroblasts to functional endothelial cells by defined factors.

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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