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accession-icon SRP161678
Deconstructing Retinal Organoids: single cell RNA-Seq reveals the cellular components of human pluripotent stem cell-derived retina
  • organism-icon Homo sapiens
  • sample-icon 69 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The rapid improvements in single cell sequencing technologies and analyses methods afford greater scope for dissecting organoid cultures composed of multiple cell types and create an opportunity to interrogate these models to understand tissue biology, cellular behaviour and interactions. To this end, retinal organoids generated from human embryonic stem cells (hESCs) were analysed by single cell RNA-Sequencing at three time points of differentiation. Combinatorial data from all time points revealed the presence of nine clusters, five of which corresponded to key retinal cell types, namely retinal pigment epithelium (RPE), retinal ganglion cells (RGCs), cone and rod photoreceptors and Müller glia cells. The remaining four clusters expressed genes typical of mitotic cells, extracellular matrix (ECM) components and those involved in retinal homeostasis. The cell clustering analysis revealed the decreasing presence of mitotic cells and RGCs, formation of a distinct RPE cluster, the emergence of cone and rod photoreceptors from photoreceptor precursors and an increasing number of Müller Glia cells over time. The pseudotime analysis resembled the order of cell birth during retinal development, with the mitotic cluster commencing the trajectory and the large majority of Müller glia being the latest. Together, these data demonstrate the feasibility and potential of single cell RNA-Seq to dissect the inherent complexity of the organoids and the orderly birth of key retinal cell types. Overall design: A hESC (H9) cell line harbouring a CRX-GFP reporter was differentiated to retinal organoids 25. Samples were collected at 60, 90 and 200 days, dissociated, partitioned into single cells using the Fluidigm C1 Single-Cell mRNA-Seq HT IFC and processed for scRNA-Seq.

Publication Title

Deconstructing Retinal Organoids: Single Cell RNA-Seq Reveals the Cellular Components of Human Pluripotent Stem Cell-Derived Retina.

Sample Metadata Fields

Cell line, Subject, Time

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accession-icon GSE47681
trkB.T1 WT versus trkB.T1 KO expression data following spinal cord injury (SCI)
  • organism-icon Mus musculus
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We profiled spinal cord tissue at the site of a moderate contusion injury at the level of the thoracic spinal cord

Publication Title

TrkB.T1 contributes to neuropathic pain after spinal cord injury through regulation of cell cycle pathways.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon SRP131067
Roles of the Brca2 and Wapl complexes with Pds5 in sister chromatid cohesion, cohesin localization, and gene expression [RNA-seq]
  • organism-icon Drosophila melanogaster
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

RNA expression was measured by RNA-seq in Drosophila ML-DmBG3-c2 cells depleted for proteins involved in sister chromatid cohesion, and in developing third instar wing discs with or withough brca2 gene mutations Overall design: RNA expression in depleted cells was compared to mock treated cells and RNA expression in wing discs from brca2 mutant Drosophila was compared to expression in wing discs without brca2 mutations This series includes mock RNAi treated samples re-used from GSE100547.

Publication Title

Brca2, Pds5 and Wapl differentially control cohesin chromosome association and function.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE21834
Identification of the receptor tyrosine kinase AXL in triple negative breast cancer as a novel target for the human miR-34a microRNA
  • organism-icon Homo sapiens
  • sample-icon 9 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

Identification of the receptor tyrosine kinase AXL in breast cancer as a target for the human miR-34a microRNA.

Sample Metadata Fields

Cell line

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accession-icon GSE64920
Caspase-2-dependent tumor suppression does not depend on the scaffold protein Raidd
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The receptor-interacting protein-associated ICH-1/CED-3 homologous protein with a death domain (Raidd) functions as a dual adaptor protein due to its bipartite nature, and is therefore thought to be a constituent of different multiprotein complexes including the PIDDosome, where it connects the cell death-related protease, Caspase-2, with the p53-induced protein with a death domain 1 (Pidd1). As such, Raidd has been implicated in DNA-damage-induced apoptosis as well as in tumor suppression, the latter based on its role as a direct activator of Caspase-2, known to delay lymphomagenesis caused by overexpression of c-Myc or loss of ATM kinase. As loss of Caspase-2 leads to an acceleration of tumor onset in the E-Myc mouse model we set out to interrogate the role of Raidd in this process in more detail. Our data obtained analyzing E-Myc/Raidd-/- mice indicate that Raidd is unable to protect from c-MYC-driven lymphomagenesis. Similarly, we failed to observe an effect of Raidd-deficiency on thymic lymphomagenesis induced by y-irradiation or fibrosarcoma development driven by 3-methylcholanthrene. The role of Caspase-2 as a tumor suppressor can therefore be uncoupled from its ability to interact and auto-activate upon binding to Raidd. Further, we provide supportive evidence that the tumor suppressive role of Caspase-2 is related to maintaining genomic integrity and allowing efficient p53-mediated signaling. Overall, our findings suggest that Raidd, although described to be the key-adapter allowing activation of the tumor suppressor Caspase-2, fails to suppress tumorigenesis in vivo.

Publication Title

The tumor-modulatory effects of Caspase-2 and Pidd1 do not require the scaffold protein Raidd.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP110597
Polycomb Repressive Complex 1 regulates transcription of active genes [RNAseq]
  • organism-icon Drosophila melanogaster
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

RNA expression was measured using RNA-seq Overall design: RNA levels in Mock-treated control Drosophila cells were compared to RNA levels in cells RNAi depleted for Ph, Sce, and Pc

Publication Title

Polycomb repressive complex 1 modifies transcription of active genes.

Sample Metadata Fields

Subject

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accession-icon SRP110596
Polycomb Repressive Complex 1 regulates transcription of active genes [NTseq]
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

RNA nascent transcription was measured using NT-seq Overall design: RNA nascent transcript levels in Mock-treated control Drosophila cells were compared to those in cells RNAi depleted for Ph and Sce

Publication Title

Polycomb repressive complex 1 modifies transcription of active genes.

Sample Metadata Fields

Subject

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accession-icon GSE21832
Identification of the receptor tyrosine kinase AXL in triple negative breast cancer as a novel target for the human miR-34a microRNA (gene expression)
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Triple negative breast cancer (TNBC) is histologically characterized by the absence of the hormone receptors estrogen and progesterone, in addition to having a negative immunostain for HER-2. The aggressiveness of this disease and lack of targeted therapeutic options for treatment is of high clinical importance. MicroRNAs are short 21- to 23 nucleotide endogenous non-coding RNAs that regulate gene expression by binding to mRNA transcripts, resulting in either decreased protein translation or mRNA degradation. Dysregulated expression of miRNAs is now a hallmark of many human cancers. In order to identify a miRNA/mRNA interaction that is biologically relevant to the triple negative breast cancer genotype/phenotype, we initially conducted a miRNA profiling experiment to detect differentially expressed miRNAs in cell line models representing the triple negative (MDA-MB-231), ER+ (MCF7), and HER-2 overexpressed (SK-BR-3) histotypes. We identified human miR-34a expression as being >3-fold down (from its median expression value across all cell lines) in MDA-MB-231 cells, and identified AXL as a putative mRNA target using multiple miRNA/target prediction algorithms. The miR-34a/AXL interaction was functionally characterized through ectopic overexpression experiments with a miR-34a mimic. In reporter assays, miR-34a binds to the putative target site within the AXL 3UTR to affect luciferase expression. We also observed degradation of AXL mRNA and decreased AXL protein levels, as well as cell signaling effects on AKT phosphorylation and phenotypic effects on cell migration. Finally, we present an inverse correlative trend in miR-34a and AXL expression for both cell line and patient tumor samples.

Publication Title

Identification of the receptor tyrosine kinase AXL in breast cancer as a target for the human miR-34a microRNA.

Sample Metadata Fields

Cell line

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accession-icon GSE42106
Cohesin and Polycomb proteins functionally interact to control transcription at silenced, restrained, and active genes
  • organism-icon Drosophila melanogaster
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cohesin and polycomb proteins functionally interact to control transcription at silenced and active genes.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE42105
Cohesin and Polycomb proteins functionally interact to control transcription at silenced, restrained, and active genes [expression array data]
  • organism-icon Drosophila melanogaster
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Cohesin is crucial for proper chromosome segregation, but also regulates gene transcription and organism development by poorly understood mechanisms. We find that in Drosophila, cohesin functionally interacts with Polycomb group (PcG) silencing proteins at both silenced and active genes. Cohesin unexpectedly facilitates binding of Polycomb Repressive Complex 1 (PRC1) to many active genes. In contrast, cohesin and PRC1 binding are mutually antagonistic at silenced genes. PRC1 depletion decreases phosphorylated RNA polymerase and mRNA at many active genes, but increases them at silenced genes. Cohesin also facilitates long-range interactions between Polycomb Response Elements in the invected-engrailed gene complex where it represses transcription. These multiple distinct cohesin-PcG interactions reveal a previously unrecognized role for PRC1 in facilitating productive gene transcription, and provide new insights into how cohesin and PRC1 control development.

Publication Title

Cohesin and polycomb proteins functionally interact to control transcription at silenced and active genes.

Sample Metadata Fields

Sex

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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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