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accession-icon GSE45765
Expression Data from pancreatic cancer cell lines and orthotopic tumors grown with and without MEK inhibitor
  • organism-icon Homo sapiens
  • sample-icon 164 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Analysis of mRNA profiles after MEK1/2 inhibition in human pancreatic cancer cell lines reveals pathways involved in drug sensitivity.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE45757
Expression Data from 22 human pancreatic cancer cell lines grown in triplicates +/- MEK inhibitor CI-1040
  • organism-icon Homo sapiens
  • sample-icon 140 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Analysis of mRNA profiles after MEK1/2 inhibition in human pancreatic cancer cell lines reveals pathways involved in drug sensitivity.

Publication Title

Analysis of mRNA profiles after MEK1/2 inhibition in human pancreatic cancer cell lines reveals pathways involved in drug sensitivity.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE45758
Expression Data from 24 orthotopic tumors grown in the pancreas of mice +/- MEK inhibitor PD0325901
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Analysis of mRNA profiles after MEK1/2 inhibition in human pancreatic cancer cell lines reveals pathways involved in drug sensitivity.

Publication Title

Analysis of mRNA profiles after MEK1/2 inhibition in human pancreatic cancer cell lines reveals pathways involved in drug sensitivity.

Sample Metadata Fields

Specimen part, Cell line

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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 GSE51781
Expression data from oligodendroglial cell line
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Coexpression of alpha-synuclein and p25alpha in an oligodendroglial cell line elicites a degenerative response that relies on aggregation and phosphorylation of alpha-synuclein at Ser129

Publication Title

Prodegenerative IκBα expression in oligodendroglial α-synuclein models of multiple system atrophy.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE23984
Effects of TX527, a hypocalcemic vitamin D analog on human activated T lymphocytes
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hypocalcemic vitamin D analogs are appealing molecules to exploit the immunomodulatory actions of active vitamin D in vivo. The functional modulation of dendritic cells is regarded as the key mechanism underlying their ability to regulate T cell responses. In contrast, the direct actions of vitamin D and structural analogs on T lymphocytes remain less well characterized.

Publication Title

The vitamin D analog, TX527, promotes a human CD4+CD25highCD127low regulatory T cell profile and induces a migratory signature specific for homing to sites of inflammation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE77685
Whole transcript expression profiling of umbilical cord- and bone marrow-derived stem cells
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Mesenchymal stromal cells (MSCs) are multipotent stem cells with potent immunosuppressive and trophic support functions. Although bone marrow is considered the golden standard to isolate classical MSCs (BM-MSC), MSC-like cells are currently also derived from other, more easily accessible extra-embryonic tissues such as the umbilical cord. In this study we compared the gene expression profile of human Wharton's jelly explant-derived MSC cultures with two adult MSC populations derived from bone marrow, namely BM-MSC and multipotent adult progenitor cells (MAPC).

Publication Title

Human Wharton's Jelly-Derived Stem Cells Display a Distinct Immunomodulatory and Proregenerative Transcriptional Signature Compared to Bone Marrow-Derived Stem Cells.

Sample Metadata Fields

Specimen part

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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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