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accession-icon SRP075876
Cerebral Organoids Recapitulate Epigenomic Signatures of the Human Fetal Brain
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon

Description

Organoids derived from human pluripotent stem cells recapitulate the early three-dimensional organization of human brain, but whether they establish the epigenomic and transcriptional programs essential for brain development is unknown. We compared epigenomic and gene regulatory features in cerebral organoids and human fetal brain, using genome-wide, base resolution DNA methylome and transcriptome sequencing. Transcriptomic dynamics in organoids faithfully modeled gene expression trajectories in early-to-mid human fetal brains. We found that early non-CG methylation accumulation at super-enhancers in both fetal brain and organoids marks forthcoming transcriptional repression in the fully developed brain. 74% of 35,627 demethylated regions identified during organoid differentiation overlapped with fetal brain regulatory elements. Interestingly, pericentromeric repeats showed widespread demethylation in multiple types of in vitro human neural differentiation models but not in fetal brain. Our study reveals that organoids recapitulate many epigenomic features of mid-fetal human brain and also identified novel non-CG methylation signatures of brain development. Overall design: MethylC-seq and RNA-seq of Cerebral Organoids differentiation

Publication Title

Cerebral Organoids Recapitulate Epigenomic Signatures of the Human Fetal Brain.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP073683
Guided self-organization recapitulates tissue architecture in a bioengineered brain organoid model
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Engineered brain organoids (enCORs) exhibit reproducible neural differentiation and forebrain regionalization. Overall design: Comparison of transcriptomes from bioengineered micropatterned enCORs and spheroids at 20 days and 60 days

Publication Title

Guided self-organization and cortical plate formation in human brain organoids.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE37180
Gene expression profiles of ovarian tumor biopsies from Phase I dasatinib trial
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

A phase I trial of a SRC kinase Inhibitor, dasatinib, in combination with paclitaxel and carboplatin in patients with advanced or recurrent ovarian cancer. Background: We conducted a phase I study of dasatinib, an oral SRC tyrosine kinase inhibitor, in combination with paclitaxel and carboplatin in advanced and recurrent epithelial ovarian cancer (EOC). Methods: The primary objective was to determine the maximum tolerated dose (MTD). Secondary objectives included toxicity, response rate (RR), pharmacokinetics and pharmacodynamics. Based on the 3+3 design, cohorts of 3-6 pts received paclitaxel 175 mg/m2 and carboplatin AUC 6 every three weeks with escalating doses of dasatinib (100, 120, 150 mg daily), followed by an 8 patient expansion cohort. Results: Twenty patients were enrolled between 06/07 and 12/09. The median age was 61 yrs (42-82) with a median of 2 prior regimens (0-6), and 71% had platinum-sensitive disease. There were 3-6 pts in each cohort, and 8 in the expansion cohort. Pharmacokinetics were observed over the first 2 cycles of therapy. One DLT was observed in the 100 mg dasatinib cohort (grade 3 myalgia. Other toxicities in all cycles included neutropenia (95% grade 3-4), thrombocytopenia (35% grade 3-4), and fatigue (10% grade 3). The RR was 45% (complete responses, 3/18(17%); partial responses, 5/18(28%)) and 56% (10/18) had stable disease. The PFS6-month actuarial estimate was 86%. The median PFS and OS were 7.8 and 16.2 months, respectively. Conclusions: Due to the high incidence of myelosuppression with subsequent cycles the recommended phase II dose is 150 mg daily of dasatinib in combination with paclitaxel and carboplatin. The combination was safe with evidence of clinical activity in advanced EOC.

Publication Title

A phase I trial of dasatinib, an SRC-family kinase inhibitor, in combination with paclitaxel and carboplatin in patients with advanced or recurrent ovarian cancer.

Sample Metadata Fields

Subject

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accession-icon GSE54609
Gene expression profiles of LN3 T-ALL cells, and tumor-associated and WT thymic dendritic cell subsets
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Thymic lymphomas develop spontaneously in LN3 mice. As for T-ALL in general, ex vivo LN3 lymphoma cells require stromal support to remain viable in culture. We found that primary stromal cells from thymic lymphomas, but not from wild-type thymi, support ex vivo lymphoma survival. By FACS sorting stromal populations, we identified dendritic cells in the tumor microenvironment as the cells capable of supporting lymphoma survival.

Publication Title

Endogenous dendritic cells from the tumor microenvironment support T-ALL growth via IGF1R activation.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon SRP066834
Human cerebral organoids recapitulate gene expression programs of fetal neocortex development.
  • organism-icon Homo sapiens
  • sample-icon 734 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Cerebral organoids – three-dimensional cultures of human cerebral tissue derived from pluripotent stem cells – have emerged as models of human cortical development. However, the extent to which in vitro organoid systems recapitulate neural progenitor cell proliferation and neuronal differentiation programs observed in vivo remains unclear. Here we use single-cell RNA sequencing (scRNA-seq) to dissect and compare cell composition and progenitor-to-neuron lineage relationships in human cerebral organoids and fetal neocortex. Covariation network analysis using the fetal neocortex data reveals known and novel interactions among genes central to neural progenitor proliferation and neuronal differentiation. In the organoid, we detect diverse progenitors and differentiated cell types of neuronal and mesenchymal lineages, and identify cells that derived from regions resembling the fetal neocortex. We find that these organoid cortical cells use gene expression programs remarkably similar to those of the fetal tissue in order to organize into cerebral cortex-like regions. Our comparison of in vivo and in vitro cortical single cell transcriptomes illuminates the genetic features underlying human cortical development that can be studied in organoid cultures. Overall design: 734 single-cell transcriptomes from human fetal neocortex or human cerebral organoids from multiple time points were analyzed in this study. All single cell samples were processed on the microfluidic Fluidigm C1 platform and contain 92 external RNA spike-ins. Fetal neocortex data were generated at 12 weeks post conception (chip 1: 81 cells; chip 2: 83 cells) and 13 weeks post conception (62 cells). Cerebral organoid data were generated from dissociated whole organoids derived from induced pluripotent stem cell line 409B2 (iPSC 409B2) at 33 days (40 cells), 35 days (68 cells), 37 days (71 cells), 41 days (74 cells), and 65 days (80 cells) after the start of embryoid body culture. Cerebral organoid data were also generated from microdissected cortical-like regions from H9 embryonic stem cell derived organoids at 53 days (region 1, 48 cells; region 2, 48 cells) or from iPSC 409B2 organoids at 58 days (region 3, 43 cells; region 4, 36 cells).

Publication Title

Human cerebral organoids recapitulate gene expression programs of fetal neocortex development.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE3143
Breast Cancer Dataset
  • organism-icon Homo sapiens
  • sample-icon 158 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Signatures of Oncogenic Pathway Deregulation in Human Cancers.

Publication Title

Oncogenic pathway signatures in human cancers as a guide to targeted therapies.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE3149
Ovarian Cancer Dataset
  • organism-icon Homo sapiens
  • sample-icon 153 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Signatures of Oncogenic Pathway Deregulation in Human Cancers.

Publication Title

Oncogenic pathway signatures in human cancers as a guide to targeted therapies.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE3141
Lung Cancer Dataset
  • organism-icon Homo sapiens
  • sample-icon 111 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Signatures of Oncogenic Pathway Deregulation in Human Cancers.

Publication Title

Oncogenic pathway signatures in human cancers as a guide to targeted therapies.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE3151
Oncogene Signature Dataset
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Signatures of Oncogenic Pathway Deregulation in Human Cancers

Publication Title

Oncogenic pathway signatures in human cancers as a guide to targeted therapies.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE3156
Breast Cancer Cell Lines
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression analysis on growing breast cancer cell lines.

Publication Title

Oncogenic pathway signatures in human cancers as a guide to targeted therapies.

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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