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accession-icon GSE66792
Reprogramming of primary human Philadelphia chromosome-positive B cell acute lymphoblastic leukemia cells into nonleukemic macrophages
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

BCRABL1+ precursor B-cell acute lymphoblastic leukemia (BCR ABL1+ B-ALL) is an aggressive hematopoietic neoplasm characterized by a block in differentiation due in part to the somatic loss of transcription factors required for B-cell development. We hypothesized that overcoming this differentiation block by forcing cells to reprogram to the myeloid lineage would reduce the leukemogenicity of these cells. We found that primary human BCRABL1+ B-ALL cells could be induced to reprogram into macrophage-like cells by exposure to myeloid differentiation-promoting cytokines in vitro or by transient expression of the myeloid transcription factor C/EBP or PU.1. The resultant cells were clonally related to the primary leukemic blasts but resembled normal macrophages in appearance, immunophenotype, gene expression, and function. Most importantly, these macrophage-like cells were unable to establish disease in xenograft hosts, indicating that lineage reprogramming eliminates the leukemogenicity of BCRABL1+ B-ALL cells, and suggesting a previously unidentified therapeutic strategy for this disease. Finally, we determined that myeloid reprogramming may occur to some degree in human patients by identifying primary CD14+ monocytes/ macrophages in BCRABL1+ B-ALL patient samples that possess the BCRABL1+ translocation and clonally recombined VDJ regions.

Publication Title

Reprogramming of primary human Philadelphia chromosome-positive B cell acute lymphoblastic leukemia cells into nonleukemic macrophages.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE17951
Gene expression analysis of prostate cancer samples using Affymetrix U133Plus2 array
  • organism-icon Homo sapiens
  • sample-icon 153 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Over one million prostate biopsies are performed in the U.S. every year. However, pathology examination is not definitive in a significant percentage of cases due limited diagnostic tumor. We have observed that the microenvironment of prostate tumor cells exhibits numerous differential gene expression changes and have asked whether such information can be used to distinguish tumor from nontumor. We initially compared expression analysis data (Affymetrix U133plus2) from 18 volunteer biopsy specimens to 17 specimens containing largely tumor-adjacent stroma and identified 964 significant (p_adj < 0.01 and B > 0) expression changes. These genes were filtered to eliminate possible aging-related genes and genes expressed in tumor cells > 10% of the stroma cell expression level leading to 23 candidate genes (28 Affymetrix probe sets). A classifier based on the 28 probe sets was tested on 289 independent cases, including 195 tumor-bearing cases, 99 nontumor cases (normal biopsies, normal autopsies, remote stroma as well as pure tumor adjacent stroma) all with accuracies >85%, sensitivities >90% and specificities >85%. These results indicate that the prostate cancer microenvironment exhibits reproducible changes useful for categorization as tumor and nontumor.

Publication Title

In silico estimates of tissue components in surgical samples based on expression profiling data.

Sample Metadata Fields

Subject

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accession-icon GSE8218
Gene expression data from prostate cancer samples
  • organism-icon Homo sapiens
  • sample-icon 125 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Prostate cancer gene expression profiles were studied in this project. A total RNA from 148 prostate sample with various amount of different cell types were hybridized to Affymetrix U133A arrays. The percentage of different cell types vary considerably among samples and were determined by pathologist. Cell type specific genes can be determined by linear regression using the methods of Stuart et al, PNAS, 2004.

Publication Title

In silico estimates of tissue components in surgical samples based on expression profiling data.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP053038
Purification and transcriptomic analysis of mouse fetal Leydig cells reveals candidate genes for disorders of sex development
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1500

Description

To examine the transcriptome of early testicular somatic cells during gonadogenesis at 12.5dpc RNA sequencing (RNA-Seq) was performed on murine primary testicular cell lineages isolated from the Sf1-eGFP line by FACS. The three main somatic cell lineages of the testis were isolated: the Sertoli cells which direct male development; the fetal Leydig cells (FLCs) that produce steroid hormones and virilise the XY individual and a heterogenous population of interstitial cells, some of which give rise to the adult Leydig cells (ALCs). This dataset provides a platform for exploring the biology of FLCs and understanding the role of these cells in testicular development and masculinization of the embryo, and a basis for targeted studies designed to identify causes of idiopathic XY DSD. Overall design: RNA-Seq of 3 enriched cell populations from 12.5dpc mouse gonad (Sertoli cells, Leydig cells and Interstitial cells isolated by FACS-sorting) on an Illumina HiSeq 1500, in triplicate.

Publication Title

Purification and Transcriptomic Analysis of Mouse Fetal Leydig Cells Reveals Candidate Genes for Specification of Gonadal Steroidogenic Cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10585
Egr1 regulates the coordinated expression of numerous EGF receptor target genes as identified by ChIP-on-chip
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Previous studies have revealed that UV-stimulation of a variety of cells leads to activation of the EGF receptor, induction of Egr1, growth inhibition and apoptosis. On the other hand both Egr1 and EGF receptor activation are implicated in promoting the progression of prostate cancer. We treated M12 tumorigenic prostate epithelial cells which express little Egr1 with UV irradiation which rapidly activated the EGF receptor and elevated Egr1. Treatment with specific EGFR and ERKI/II inhibitors (PD153035 and UO126, respectively) confirmed that the upregulation of Egr1 was downstream of EGFR and ERKI/II Map kinase pathway. ChIP on chip experiments using Egr1 antibody identified 288 significantly bound promoters upon UV stimulation. Of these target genes, 40% had consensus Egr1 site in their promoters, considerably greater than that expected by chance (p < 0.005). The array binding results were validated by PCR analysis of 25 genes using DNA from conventional IP experiment. Affymetrix gene expression analysis of UV treated and control cells confirmed that a significant number of these bound promoters showed gene expression changes. Addition of siRNA to Egr1 confirmed that the gene expression changes were dependent upon Egr1 expression. Addition of EGF led to similar expression changes for nine tested genes. Proliferation and apoptosis assays confirmed that M12 cells undergo growth arrest and apoptosis following UV irradiation. Moreover, addition of EGF also promoted significant growth inhibition. These results indicate the M12 cells undergo a EGF receptor dependent apoptosis response upon UV-stimulation and that Egr1 mediates the regulation of numerous genes downstream of the EGF receptor that are associated with this response.

Publication Title

Egr1 regulates the coordinated expression of numerous EGF receptor target genes as identified by ChIP-on-chip.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE1431
Human prostate cancer tissues analyses
  • organism-icon Homo sapiens
  • sample-icon 88 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Human prostate cancer tissues analyses

Publication Title

In silico dissection of cell-type-associated patterns of gene expression in prostate cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP165596
chrRNA-seq in wild-type, SmcHD1 MommeD1mut and somKO MEFs
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconNextSeq 550, Illumina HiSeq 2000

Description

In this study we investigate the role of the non-canonical SMC family protein, SmcHD1in the X inactivation. Overall design: Set of allele-specific chromatin RNA-seq experiments on female clonal inter-specific (M.m.domesticus FVB x M.m.Castaneus) MEF cell lines: wild-type MEFs, SmcHD1 MomeD1 mut MEFs (SmcHD1 null) and SmcHD1 CRISPR KO MEFs (derived from wild-type MEFs after establishemnt of X inactivation).

Publication Title

The non-canonical SMC protein SmcHD1 antagonises TAD formation and compartmentalisation on the inactive X chromosome.

Sample Metadata Fields

Subject

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accession-icon SRP092481
Activity-dependent gene expression in the mammalian olfactory epithelium
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We access the activity-dependent genes in olfactory neuron cells with unilateral naris occlusion model with mouse. Overall design: mRNA profile of olfactory epithelia between closed and open sides of mice naris was compared

Publication Title

Activity-Dependent Gene Expression in the Mammalian Olfactory Epithelium.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP063980
Gene expression analysis following JQ1 treatments in colon cancer lines
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNAseq is performed (50bp single end reads) on SW480, HT-29, HCT-15, HCT-116, COLO 205, and COLO 320 cell lines after DMSO or JQ1 treatment Overall design: Examination of transcriptomic changes after JQ1 treatment

Publication Title

CCAT1 is an enhancer-templated RNA that predicts BET sensitivity in colorectal cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP063978
Gene expression analysis of BRD4 knockdown in HT-29 and HCT116 cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

RNAseq is performed (50bp single end reads) on HT-29 and HCT-116 cell lines utilizing two independent shRNAs against BRD4 and a non-targeting control shRNA (NTC) Overall design: Examination of transcriptomic changes after knockdown of BRD4

Publication Title

CCAT1 is an enhancer-templated RNA that predicts BET sensitivity in colorectal cancer.

Sample Metadata Fields

No sample metadata fields

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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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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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