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accession-icon SRP053190
Whole cell mRNA expression profiling in control and complex I deficient patient fibroblasts incubated with DMSO, AICAR, chloramphenicol, and resveratrol
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Background: Transcription control of mitochondrial metabolism is essential for cellular function. A better understanding of this process will aid the elucidation of mitochondrial disorders, in particular of the many genetically unsolved cases of oxidative phosphorylation (OXPHOS) deficiency. Yet, to date only few studies have investigated nuclear gene regulation in the context of OXPHOS deficiency. In this study, we combined RNA sequencing of human complex I-deficient patient cells across 32 conditions of perturbed mitochondrial metabolism, with a comprehensive analysis of gene expression patterns, co-expression calculations and transcription factor binding sites. Results: Our analysis shows that OXPHOS genes have a significantly higher co-expression with each other than with other genes, including mitochondrial genes. We found no evidence for complex-specific mRNA expression regulation in the tested cell types and conditions: subunits of different OXPHOS complexes are similarly (co-)expressed and regulated by a common set of transcription factors. However, we did observe significant differences between the expression of OXPHOS complex subunits compared to assembly factors, suggesting divergent transcription programs. Furthermore, complex I co-expression calculations identified 684 genes with a likely role in OXPHOS biogenesis and function. Analysis of evolutionarily conserved transcription factor binding sites in the promoters of these genes revealed almost all known OXPHOS regulators (including GABP, NRF1/2, SP1, YY1, E-box factors) and a set of six yet uncharacterized candidate transcription factors (ELK1, KLF7, SP4, EHF, ZNF143, and EL2). Conclusions: OXPHOS genes share an expression program distinct from other mitochondrial genes, indicative of targeted regulation of this mitochondrial sub-process. Within the subset of OXPHOS genes we established a difference in expression between subunits and assembly factors. Most transcription regulators of genes that co-express with complex I are well-established factors for OXPHOS biogenesis. For the remaining six factors we here suggest for the first time a link with transcription regulation in OXPHOS deficiency. Overall design: RNA-SEQ of whole cell RNA in 2 control and 2 complex I deficient patient fibroblast cell lines treated with 4 compounds in duplicate, resulting in a total of 2x2x4x2=32 samples

Publication Title

Transcriptome analysis of complex I-deficient patients reveals distinct expression programs for subunits and assembly factors of the oxidative phosphorylation system.

Alternate Accession IDs

GSE65634

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE27041
OXPHOS complex I deficiency leads to transcriptional changes of the Nrf2-Keap1 pathway and selenoproteins.
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Defective complex I (CI) is the most common type of oxidative phosphorylation (OXPHOS) disease in patients, with an incidence of 1 in 5,000 live births. Complex I deficiency can present in infancy or early adulthood and shows a wide variety of clinical manifestations, including Leigh syndrome, (cardio)myopathy, hypotonia, stroke, ataxia and lactic acidosis. A number of critical processes and factors, like superoxide production, calcium homeostasis, mitochondrial membrane potential and mitochondrial morphology, are known to be involved in clinical CI deficiency, but not all factors are yet known and a complete picture is lacking.

Publication Title

Transcriptional changes in OXPHOS complex I deficiency are related to anti-oxidant pathways and could explain the disturbed calcium homeostasis.

Alternate Accession IDs

E-GEOD-27041

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE20320
Expression data from TK6 exposed to low-dose metals
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We are investigating the response of human lymphoblastoid cells to low-dose exposure of environmental metals

Publication Title

Comparative genomic analyses identify common molecular pathways modulated upon exposure to low doses of arsenic and cadmium.

Alternate Accession IDs

E-GEOD-20320

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE11282
Comparison of yeast (Saccharomyces cerevisiae) strain with histone H4 R45 mutated to H with wild type yeast strain WY139
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Total RNA samples from three replicate cultures of wild type and mutant yeast strains was isolated and expression profile done using Affymetrix arrays. Comparsion between the samples indicate how mutation in a single amino acid residue in histone H4 (H4R45H) affects gene expression in yeast. Such a mutation in histone H4 is known to generate a specific class of mutants called SWI/SNF independent (SIN) mutants, and the mutants were identified by their ability to carry out transcription in the absence of yeast chromatin remodeling complex SWI/SNF. SIN mutations are known to affect higher order chromatin structure and the comparative expression profile would help identification of genes which get affected by such altered chromatin landscape.

Publication Title

A single amino acid change in histone H4 enhances UV survival and DNA repair in yeast.

Alternate Accession IDs

E-GEOD-11282

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE64200
Stable 5-Hydroxymethylcytosine (5hmC) Acquisition Marks Gene Activation During Chondrogenic Differentiation.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Stable 5-Hydroxymethylcytosine (5hmC) Acquisition Marks Gene Activation During Chondrogenic Differentiation.

Alternate Accession IDs

E-GEOD-64200

Sample Metadata Fields

Specimen part

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accession-icon GSE32963
Gene expression profile in the developing and adult mouse cochlear sensory epithelia
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To understand the molecular control of development and regeneration in the mammalian cochlear sensory epithelia, we performed a comparative study of gene expression patterns between postnatal day-3 (P3) and adult stages using a microarrays approach.

Publication Title

Transcriptomic analysis of the developing and adult mouse cochlear sensory epithelia.

Alternate Accession IDs

E-GEOD-32963

Sample Metadata Fields

Specimen part

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accession-icon GSE64141
Stable 5-Hydroxymethylcytosine (5hmC) Acquisition Marks Gene Activation During Chondrogenic Differentiation [array]
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Regulation of chondrogenic differentiation by DNA demethylation is little understood. The ten-eleven-translocation (TET) proteins oxidize methylated cytosines (5mC) to 5hmC, 5fC and 5caC eventually leading to DNA demethylation. However, 5hmC is stable and can potentially act as an epigenetic mark as well. In this study, we report that global changes in 5hmC mark chondrogenic differentiation.

Publication Title

Stable 5-Hydroxymethylcytosine (5hmC) Acquisition Marks Gene Activation During Chondrogenic Differentiation.

Alternate Accession IDs

E-GEOD-64141

Sample Metadata Fields

Specimen part

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accession-icon GSE73377
Epigenetics and Preeclampsia: Defining Functional Epimutations in the Preeclamptic Placenta Related to the TGF- Pathway
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st), Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epigenetics and Preeclampsia: Defining Functional Epimutations in the Preeclamptic Placenta Related to the TGF-β Pathway.

Alternate Accession IDs

E-GEOD-73377

Sample Metadata Fields

Specimen part, Disease, Race

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accession-icon GSE73374
Epigenetics and Preeclampsia: Defining Functional Epimutations in the Preeclamptic Placenta Related to the TGF- Pathway [gene expression]
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st), Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)

Description

Placental Tissue Samples from 36 women (17 normotensive women, denoted with a P, and 19 preeclamptic women, denoted with a Q) were analyzed for differenital methylation

Publication Title

Epigenetics and Preeclampsia: Defining Functional Epimutations in the Preeclamptic Placenta Related to the TGF-β Pathway.

Alternate Accession IDs

E-GEOD-73374

Sample Metadata Fields

Specimen part, Disease, Race

View Samples
accession-icon GSE23735
mRNA expression data from A549 exposed to fresh or aged urban air mixtures
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We are investigating the mRNA expression profiles of human lung cells to gaseous urban mixtures

Publication Title

A toxicogenomic comparison of primary and photochemically altered air pollutant mixtures.

Alternate Accession IDs

E-GEOD-23735

Sample Metadata Fields

Cell line, Treatment

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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