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accession-icon GSE51650
Expression data from Gdap1 knock-out (deletion of exon 5) mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

GDAP1 is a mitochondrial fission factor and mutations in GDAP1 cause Charcot-Marie-Tooth disease. Gdap1 knockout mice, mimicking genetic alterations of patients suffering from severe CMT forms, develop an age-related, hypomyelinating peripheral neuropathy.

Publication Title

The Gdap1 knockout mouse mechanistically links redox control to Charcot-Marie-Tooth disease.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE7256
Identification of rice genes differentially expressed upon virulent infection by Magnaporthe grisea
  • organism-icon Oryza sativa
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Two-week old rice plants (cultivar Nipponbare) were treated with either Magnaporthe grisea (virulent isolate FR13) spore suspension in gelatine or gelatine alone. Two time points were taken (3 and 4 days post inoculation- dpi). Disease symptoms were not visible at 3 dpi whereas they were at 4 dpi. Two biological repeats were done.

Publication Title

Susceptibility of rice to the blast fungus, Magnaporthe grisea.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE22225
CLN3 patients with differing progression of the disease
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Mutations in the CLN3 gene lead to juvenile neuronal ceroid lipofuscinosis, a pediatric neurodegenerative disorder characterized by visual loss, epilepsy and psychomotor deterioration. Although most CLN3 patients carry the same 1 kb deletion in the CLN3 gene, their disease phenotype can be variable. The aims of this study were (1) to identify genes that are dysregulated in CLN3 disease regardless of the clinical course that could be useful as biomarkers, and (2) to find modifier genes that affect the progression rate of the disease.

Publication Title

Analysis of potential biomarkers and modifier genes affecting the clinical course of CLN3 disease.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE17063
SOCS-3 in muscle
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Aims/hypothesis Due to their ability to regulate various signalling pathways (cytokines, hormones, growth factors), the suppressor of cytokine signalling (SOCS) proteins are thought to be promising therapeutic targets for metabolic and inflammatory disorders. Hence, their role in vivo has to be precisely determined.

Publication Title

Constitutive expression of suppressor of cytokine signalling-3 in skeletal muscle leads to reduced mobility and overweight in mice.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE53284
Transcriptome of HEK293 cells stably knockdown for the BAHD1 gene with a shRNA
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Comparison of gene expression profile of HEK293 cells stably expressing a shRNA control (SilX-CT) or a shRNA against BAHD1 (SilX-BAHD1)

Publication Title

Overexpression of the Heterochromatinization Factor BAHD1 in HEK293 Cells Differentially Reshapes the DNA Methylome on Autosomes and X Chromosome.

Sample Metadata Fields

Cell line

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accession-icon GSE51863
Transcriptome of HEK293 cells (HEK293-CT) and HEK293 cells stably over-expressing the BAHD1 gene (HEK-BAHD1)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Comparison of gene expression profile of HEK293-CT cells and HEK293 cells stably over-expressing the BAHD1 gene (HEK-BAHD1)

Publication Title

Overexpression of the Heterochromatinization Factor BAHD1 in HEK293 Cells Differentially Reshapes the DNA Methylome on Autosomes and X Chromosome.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE51868
HEK293 cells (HEK293-CT) and HEK293 cells stably over-expressing the BAHD1 gene (HEK-BAHD1)
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Role of the BAHD1 Chromatin-Repressive Complex in Placental Development and Regulation of Steroid Metabolism.

Sample Metadata Fields

Specimen part, Disease, Cell line, Treatment

View Samples
accession-icon E-MEXP-939
Transcription profiling by array of skeletal muscle from PGC-1 beta transgenic mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Skeletal muscle must perform a wide range of kinds of work, and different fiber types have evolved to accommodate these different tasks. The attributes of fibers are determined in large part by the coordinated regulation of oxidative capacity, as reflected by mitochondrial content, and the specific makeup of myofibrillar proteins. Adult muscle fibers contain four myosin heavy chain isotypes: I, IIa, IIx and IIb. Type I and IIa fibers have slower twitches and are rich in mitochondria, while type IIb fibers are fast-twitch and predominantly glycolytic. The intermediate IIx fibers are less well understood. Previous work had shown that the transcriptional coactivator PGC-1 alpha could drive the formation of type I and IIa muscle fibers. We show here that mice with transgenic expression of PGC-1 beta in skeletal muscle results in marked induction of IIx fibers. The fibers in transgenic mice are rich in mitochondria and are highly oxidative. As a result, PGC-1 beta transgenic animals can perform oxidative activity for longer and at higher work loads than wild type animals. In cell culture, PGC-1 beta coactivates the MEF2 family of transcription factors to stimulate the MHC IIx promoter. Together, these data indicate that PGC-1 beta is sufficient to drive the formation in vivo of highly oxidative fibers with type IIx characteristics.

Publication Title

The transcriptional coactivator PGC-1beta drives the formation of oxidative type IIX fibers in skeletal muscle.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP092181
UMI-based, single cell RNA sequencing of human nasal epithelial cells grown for 33 days at air liquid interface
  • organism-icon Homo sapiens
  • sample-icon 95 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

5' selective RNA-seq of 96 single cells from human nasal epithelial cells. Cells grown for 33 days at an air liquid interface. RNAseq profiling was performed with N4H4 unique molecular identifiers processed on a Fluidigm C1. Sequencing was performed on a Ion Proton (Life Technologies). Overall design: Single cell from human nasal epithelium. 5' selective RNAseq profiling, 96 cells, unique molecular identifiers, custom library preparation.

Publication Title

A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP071670
Transcriptome profiling of single HEK293 cells with UMIs sequenced on Ion Torrent Proton (Run 20151215)
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

5' selective RNA-seq of 47 Single HEK293 cells RNAseq profiling with N4H4 unique molecular identifiers processed on a Fluidigm C1. Overall design: Single cell HEK293 cell 5' selective RNAseq profiling, 47 cells, unique molecular identifiers, custom library preparation.

Publication Title

A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design.

Sample Metadata Fields

No sample metadata fields

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)

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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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