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accession-icon GSE35570
Gene signature of the post-Chernobyl papillary thyroid cancer
  • organism-icon Homo sapiens
  • sample-icon 116 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Thyroid gland is among the most sensitive organs to ionizing radiation. Whether low-dose radiation-induced papillary thyroid cancer (PTC) differs from sporadic PTC is yet unknown.

Publication Title

Gene signature of the post-Chernobyl papillary thyroid cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP036078
Direct Conversion from Mouse Fibroblasts Informs the Identification of Hemogenic Precursor Cells In Vivo
  • organism-icon Mus musculus
  • sample-icon 251 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Definitive hematopoiesis emerges via an endothelial-to-hematopoietic transition in the aorta-gonad-mesonephros (AGM) region and placenta. We have recently demonstrated the induction of hematopoietic stem/progenitors (HSPCs) from mouse fibroblasts with a combination of transcription factors progressing through endothelial-like precursors. Here, guided by our in vitro programming experiments we analyzed mouse placentas for the presence of the precursor phenotype. We identified a small population of CD34+ Sca1+Prom1+ (34PS) cells in mid-gestation placentas that do not express the pan-hematopoietic marker CD45. After isolation and culture 34PS cells acquire CD45 and generate large hematopoietic as well as cobblestone colonies. Prom1+ cells localize to the placental vascular labyrinth where HSPCs emerge. 34PS cells express markers associated with the hemogenic endothelium (CD31, Tie2, VE-Cadherin, Sox17, Runx1, Scl) and also markers identified by direct induction (Itga6/CD49f). This population is heterogeneous for the early hematopoietic marker CD41 and expresses the programming transcription factors. Remarkably, global gene expression profiles of placental 34PS cells correlate with AGM-derived hemogenic endothelium and fibroblast-derived precursors. Finally, when co-cultured with stroma placental 34PS cells give rise to B/T lymphoid cells as well as mixed colonies containing erythroid, myeloid and megakaryocytic cell lineages. In summary, we show that direct in vitro conversion provided a cell surface phenotype for the isolation of hemogenic precursors in vivo. Our findings provide insights into the specification of definitive hemogenesis in the placenta, in depth characterization of hemogenic precursor populations and the first evidence that direct in vitro conversion approaches can be used as a valuable tool to address basic developmental questions in vivo. Overall design: mRNAseq profiling on populations isolated by selected marker fluorescence activated cell sorting The 'E10_E12_HSPC_SingleCell_FPKM.txt.gz' contains the processed data for GSM1890353-GSM1890496.

Publication Title

Hematopoietic Reprogramming In Vitro Informs In Vivo Identification of Hemogenic Precursors to Definitive Hematopoietic Stem Cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP156760
Combined Experimental and System-Level Analyses Reveal the Complex Regulatory Network of miR-124 during Human Neurogenesis [Timecourse RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 910 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Non-coding RNAs regulate many biological processes including neurogenesis. The brain-enriched miR-124 is assigned as a key player of neuronal differentiation via its complex, but little understood, regulation of thousands of annotated targets. To systematically chart its regulatory functions, we used CRISPR/Cas9 gene editing to disrupt all six miR-124 alleles in human stem cells. Upon neuronal induction, miR-124-depleted cells underwent neurogenesis and became functional neurons, albeit with altered morphology and neurotransmitter specification. By RNA-induced-silencing-complex precipitation, we found that other miRNA species were upregulated in miR-124 depleted neurons. Furthermore, we identified 98 miR-124 targets of which some directly led to decreased viability. We performed advanced transcription-factor-network analysis and revealed indirect miR-124 effects on apoptosis and neuronal subtype differentiation. Our data emphasizes the need for combined experimental- and systems-level analyses to comprehensively disentangle and reveal miRNA functions, including their involvement in the neurogenesis of diverse neuronal cell types found in the human brain. Overall design: RNA profile for timecourse of neuronal Neurogenin-1 and 2-triggered differentiation from human iPSCs (wildtype and ?miR-124).

Publication Title

Combined Experimental and System-Level Analyses Reveal the Complex Regulatory Network of miR-124 during Human Neurogenesis.

Sample Metadata Fields

Subject

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accession-icon SRP156757
Combined Experimental and System-Level Analyses Reveal the Complex Regulatory Network of miR-124 during Human Neurogenesis [AGO2-RIP-Seq -miRNAs]
  • organism-icon Homo sapiens
  • sample-icon 93 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Non-coding RNAs regulate many biological processes including neurogenesis. The brain-enriched miR-124 is assigned as a key player of neuronal differentiation via its complex, but little understood, regulation of thousands of annotated targets. To systematically chart its regulatory functions, we used CRISPR/Cas9 gene editing to disrupt all six miR-124 alleles in human stem cells. Upon neuronal induction, miR-124-depleted cells underwent neurogenesis and became functional neurons, albeit with altered morphology and neurotransmitter specification. By RNA-induced-silencing-complex precipitation, we found that other miRNA species were upregulated in miR-124 depleted neurons. Furthermore, we identified 98 miR-124 targets of which some directly led to decreased viability. We performed advanced transcription-factor-network analysis and revealed indirect miR-124 effects on apoptosis and neuronal subtype differentiation. Our data emphasizes the need for combined experimental- and systems-level analyses to comprehensively disentangle and reveal miRNA functions, including their involvement in the neurogenesis of diverse neuronal cell types found in the human brain. Overall design: RNA interacting protein immunoprecipitation with AGO2 for miR-124 target enrichment from neuronal Neurogenin-1 and 2-triggered differentiation from human iPSCs (wildtype and ?miR-124) and subsequent sequencing.

Publication Title

Combined Experimental and System-Level Analyses Reveal the Complex Regulatory Network of miR-124 during Human Neurogenesis.

Sample Metadata Fields

Subject

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accession-icon GSE52075
Expression data of the endothelial-to-hematopoietic transition in E8.5 concepti
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

During development a specialised subset of endothelial cells, the haemogenic endothelium, undergo an endothelial-to-haematopoietic transition. This process critically involves the transcription factor Runx1. Here we have isolated a specific subpopulation of endothelial cells using a Runx1 enhancer-reporter transgenic mouse line (23GFP). We have compared the gene expression profile of this population to non-23GFP expressing endothelial cells and CD41 expressing haematopoietic progenitor cells to assess whether 23GFP expression marks a biologically distinct subset of endothelium.

Publication Title

Early dynamic fate changes in haemogenic endothelium characterized at the single-cell level.

Sample Metadata Fields

Specimen part

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accession-icon GSE58722
Checkpoint blockade immunotherapy relies on T-bet but not Eomes to induce effector function in tumor infiltrating CD8+ T cells
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Coinhibitory receptor blockade is a promising strategy to boost immunity against a variety of human cancers. However, many patients still do not benefit from this treatment, and responders often experience immune-related toxicities. These issues highlight the need for improved understanding of checkpoint blockade, but the T cell-intrinsic signaling pathways and gene expression profiles engaged during treatment are not well defined, particularly for combination approaches. We utilized a murine model of CD8+ T cell tolerance to address these issues.

Publication Title

Checkpoint blockade immunotherapy relies on T-bet but not Eomes to induce effector function in tumor-infiltrating CD8+ T cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE66483
Expression data from differentiating mouse embryonic stem cells wild type and lacking functional Pax7 gene
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Myogenic differentiation relies on Pax7 function. We used embryonic stem cells lacking functional Pax7 to follow its role in derivation of skeletal myoblasts.

Publication Title

Myogenic Differentiation of Mouse Embryonic Stem Cells That Lack a Functional Pax7 Gene.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP052999
Lympho-myeloid contribution of an immune-restricted progenitor emerging prior to definitive hematopoietic stem cells
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

An immune-restricted lymphomyeloid-primed progenitor with the capacity to contribute to both myeloid and lymphoid lineages in the developing embryo emerges prior to definitive HSCs. Overall design: Examination of fetal sorted lymphoid primed progentors and adult progenitors The fastq files are not provided at this time due to further analyses.

Publication Title

Lymphomyeloid contribution of an immune-restricted progenitor emerging prior to definitive hematopoietic stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE58689
Gene expression signature associated with BRAFV600E mutation in human papillary thyroid carcinoma based on transgenic mouse model
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st), Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

BRAFV600E-Associated Gene Expression Profile: Early Changes in the Transcriptome, Based on a Transgenic Mouse Model of Papillary Thyroid Carcinoma.

Sample Metadata Fields

Sex, Age

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accession-icon GSE58545
Gene expression signature associated with BRAFV600E mutation in human papillary thyroid carcinoma based on transgenic mouse model (human)
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

BRAFV600E mutation is the most frequent molecular event in papillary thyroid carcinoma. The relation of this genetic alteration with the factors od poor prognosis has been reported as well as its influence on PTC gene signature. However human material disables distinction of cancer causes from its effect.

Publication Title

BRAFV600E-Associated Gene Expression Profile: Early Changes in the Transcriptome, Based on a Transgenic Mouse Model of Papillary Thyroid Carcinoma.

Sample Metadata Fields

Sex, Age

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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