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accession-icon GSE20295
Transcriptional analysis of multiple brain regions in Parkinson's disease
  • organism-icon Homo sapiens
  • sample-icon 91 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Transcriptional analysis of multiple brain regions in Parkinson's disease supports the involvement of specific protein processing, energy metabolism, and signaling pathways, and suggests novel disease mechanisms.

Publication Title

Transcriptional analysis of multiple brain regions in Parkinson's disease supports the involvement of specific protein processing, energy metabolism, and signaling pathways, and suggests novel disease mechanisms.

Sample Metadata Fields

Sex, Age, Disease, Disease stage

View Samples
accession-icon GSE20291
Transcriptional analysis of putamen in Parkinson's disease
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Post mortem tissue was dissected from two groups of age and gender matched groups of Parkinson and Control subjects

Publication Title

Transcriptional analysis of multiple brain regions in Parkinson's disease supports the involvement of specific protein processing, energy metabolism, and signaling pathways, and suggests novel disease mechanisms.

Sample Metadata Fields

Sex, Age, Disease, Disease stage

View Samples
accession-icon GSE20168
Transcriptional analysis of prefrontal area 9 in Parkinson's disease
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Post mortem tissue was dissected from two groups of age and gender matched groups of Parkinson and Control subjects

Publication Title

Transcriptional analysis of multiple brain regions in Parkinson's disease supports the involvement of specific protein processing, energy metabolism, and signaling pathways, and suggests novel disease mechanisms.

Sample Metadata Fields

Sex, Age, Disease, Disease stage

View Samples
accession-icon GSE20292
Transcriptional analysis of whole substantia nigra in Parkinson's disease
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Post mortem tissue was dissected from two groups of age and gender matched groups of Parkinson and Control subjects

Publication Title

Transcriptional analysis of multiple brain regions in Parkinson's disease supports the involvement of specific protein processing, energy metabolism, and signaling pathways, and suggests novel disease mechanisms.

Sample Metadata Fields

Sex, Age, Disease, Disease stage

View Samples
accession-icon GSE87332
In vivo gene expression profiling of mouse tumor progenitor cells with differences in EGFRvIII activation
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Murine gliomblastoma tumor progenitor cells TPCs with high and low EGFRvIII activity, pEGFR-Hi and pEGFR-Lo, showed differences in proliferation, differentiation, and invasion. Zs-Green-expressing

Publication Title

GBM heterogeneity as a function of variable epidermal growth factor receptor variant III activity.

Sample Metadata Fields

Specimen part

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accession-icon SRP158081
Single-cell RNA-Seq Analysis of Retinal Development Identifies NFI Factors as Regulating Mitotic Exit and Late-Born Cell Specification
  • organism-icon Mus musculus
  • sample-icon 879 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Single cell RNA sequencing using either an adapted Smart-seq2 protocol on Chx10-GFP (+) retinal progenitor cells; 10x Genomics Chromium Single Cell system across 10 timepoints of mouse retinal development to examine retinal progenitor cell heterogeneity across retinal development and global changes in gene expression from early retinal neuroepithelial cells through specification and differentiation of retinal cell types; 10X Genomics Chromium Single Cell on P14 Nfia/b/x het control or Nfia/b/x tCKO (Chx10-Cre-GFP) retinas Overall design: Examination of transcript expression within 120,840 cells across 10 developmental time-points (14 experiments) via 10x Genomics and 864 cells via an adapted Smart-Seq2 protocol; Characterization of Nfia/b/x mutant phenotypes using single-cell RNA-seq

Publication Title

Single-Cell RNA-Seq Analysis of Retinal Development Identifies NFI Factors as Regulating Mitotic Exit and Late-Born Cell Specification.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP071238
Differential gene expression analysis of follistain treated skeletal muscle
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

RNA-Seq analysis was performed to define the associated changes in gene expression of skeletal muscle treated with follistatin Overall design: Skeletal muscle mRNA profiles from follistatin and control treated tibialis anterior muscles. Acute (3 day treatment, 3 control and 4 follistatin replicates) and chronic (7or 14 day treatment, 3 control and 4 follistatin replicates) timepoints were analysed.

Publication Title

Integrated expression analysis of muscle hypertrophy identifies <i>Asb2</i> as a negative regulator of muscle mass.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP100788
Single cell RNA-seq of 444 epithelial cells from the mammary glands of pubescent and adult mice
  • organism-icon Mus musculus
  • sample-icon 422 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Mammary glands were collected from 8 pubescent (4.7-4.9 week-old) female mice and 8 adult (10 week old) female mice. Freshly sorted epithelial cells were submitted to a Fluidigm C1 System machine for single cell capture and cDNA synthesis. Cells were visualized under the microscope to ensure integrity of the captured single cells prior to cDNA preparation. Libraries were prepared using the Nextera XT kit and sequencing was carried out on an Illumina NextSeq 500 to achieve paired-end 75 bp reads. Overall design: RNA-seq profiling was completed for 221 cells from pubescent mice and 223 cells from adult mice.

Publication Title

Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP100784
Single cell RNA-seq of 346 epithelial cells from the mammary glands of pre-pubescent, pubescent and adult mice
  • organism-icon Mus musculus
  • sample-icon 346 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Mammary glands were collected from pre-pubescent (2 weeks old), pubescent (4.7- 4.9 weeks old) and adult (10 week-old) female mice. Freshly sorted epithelial cells were submitted to a Fluidigm C1 System machine for single cell capture and cDNA synthesis. Cells were visualized under a microscope to ensure integrity of the captured single cells prior to cDNA preparation. Libraries were prepared using the Nextera XT kit and sequencing was carried out on an Illumina Hiseq 2000 to achieve 100 bp paired-end reads. Overall design: RNA-seq profiling was completed for 144 cells from 8 pre-puberty (2 week old) mice, 136 cells from 8 pubescent (4.7-4.9 week old) mice and 66 cells from 8 adult (10 week old) mice.

Publication Title

Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP100792
Single cell RNA-seq of 312 basal epithelial cells from the mammary glands of pregnant and adult mice
  • organism-icon Mus musculus
  • sample-icon 311 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Mammary glands were collected from 8 pregnant (12.5 day) mice and 8 adult (10 week old) female mice. Basal epithelial cells were FACS sorted. Freshly sorted cells were submitted to a Fluidigm C1 System machine for single cell capture and cDNA synthesis. Cells were visualized under the microscope to ensure integrity of the captured single cells prior to cDNA preparation. Libraries were prepared using the Nextera XT kit and sequencing was carried out on an Illumina NextSeq 500 to achieve paired-end 75 bp reads. Overall design: RNA-seq profiling was completed for 75 cells from pregnant mice and 237 cells from adult mice.

Publication Title

Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling.

Sample Metadata Fields

Cell line, Subject

View Samples
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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)

fund-icon Fund the CCDL

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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