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accession-icon GSE62094
Lysine acetylation effect in gene expression in Escherichia coli
  • organism-icon Escherichia coli k-12
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Although protein acetylation is widely observed, it has been associated with few specific regulatory functions making it poorly understood. To interrogate its functionality, we analyzed the acetylome in Escherichia coli knockout mutants of cobB, the only known sirtuin-like deacetylase, and patZ, the best-known protein acetyltransferase. For four growth conditions, more than 2,000 unique acetylated peptides, belonging to 809 proteins, were identified and differentially quantified. Nearly 65% of these proteins are related to metabolism. The global activity of CobB contributes to the deacetylation of a large number of substrates and has a major impact on physiology. Apart from the regulation of acetyl-CoA synthetase, we found that CobB-controlled acetylation of isocitrate lyase contributes to the fine-tuning of the glyoxylate shunt. Acetylation of the transcription factor RcsB prevents DNA binding, activating flagella biosynthesis and motility, and increases acid stress susceptibility. Surprisingly, deletion of patZ increased acetylation in acetate cultures, which suggests that it regulates the levels of acetylating agents. The results presented offer new insights into functional roles of protein acetylation in metabolic fitness and global cell regulation.

Publication Title

Protein acetylation affects acetate metabolism, motility and acid stress response in Escherichia coli.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE5823
Effects of RNA interference-mediated c-MYC depletion on gene expression profiles in human cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Affymetrix Hu133 GeneCHIP Microarray data for Control and c-MYC knock-down (KD) human cancer cell lines.

Publication Title

Novel c-MYC target genes mediate differential effects on cell proliferation and migration.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE38554
Gene expression profiling of FFPE breast cancer samples
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We implemented an optimized processing, using alternative Chip Description Files (CDFs) and fRMA normalization, which improve the quality of downstream analysis.

Publication Title

Accurate data processing improves the reliability of Affymetrix gene expression profiles from FFPE samples.

Sample Metadata Fields

Specimen part

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accession-icon GSE24547
Transcriptional pathway signatures for the Aurora inhibitor Danusertib
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Treatment with Aurora inhibitors has been shown to induce diverse biological responses in different tumor cell lines, in part depending on their p53 status. To characterize at the transcriptional level the effects of Danusertib we analyzed by microarray different tumor cell lines, with WT or mutant p53 status, that showed differential cell cycle response upon drug treatment.

Publication Title

Transcriptional analysis of the Aurora inhibitor Danusertib leading to biomarker identification in TP53 wild type cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE58383
Breast cancer tumor promoting cell transcriptome
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

In this study we obtained gene expression profiles of MCFS and parental MCF7 cell lines using Illumina microarrays

Publication Title

In-depth characterization of breast cancer tumor-promoting cell transcriptome by RNA sequencing and microarrays.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE6863
Immature dendritic cells under hypoxic condition
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Dendritic cells (DCs) are professional antigen-presenting cells whose activity is intrinsically linked to the microenvironment. Hypoxia is a condition of low oxygen tension occurring in inflammatory tissues that creates a special microenvironment conditioning cell physiology. We studied the effects of hypoxia on the differentiation of human monocytes into DCs. Immature DCs were differentiated in vitro from human monocytes under normoxic (iDCs) or hypoxic (Hi-DCs) conditions and the gene expression profile was determined. Hi-DCs expressed novel hypoxia-inducible genes and were characterized by up-regulation of pathways associated with cell movement/migration.

Publication Title

Transcriptome of hypoxic immature dendritic cells: modulation of chemokine/receptor expression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE51452
Gene expression profiling of FFPE breast cancer samples [Affymetrix vs. Illumina]
  • organism-icon Homo sapiens
  • sample-icon 12 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

Use of formalin-fixed paraffin-embedded samples for gene expression studies in breast cancer patients.

Sample Metadata Fields

Specimen part

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accession-icon GSE51450
Gene expression profiling of FFPE breast cancer samples [Affymetrix platform]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The use of Affymetrix U133 2.0 Plus chips on FFPE samples when coupled with a qPCR-based sample pre-assessment step, yielded satisfactory results from the point of view of biological reliability. When compared with the Illumina DASL WG platform, specifically designed for degraded RNA, the data generated with the Affymetrix platform showed a wider interquartile range (IQR 1.32 vs 0.57, p<2.2x10-16) suggesting a superior discriminatory power within samples as indicated by the good agreement with the immunohistiochemically derived ER status.

Publication Title

Use of formalin-fixed paraffin-embedded samples for gene expression studies in breast cancer patients.

Sample Metadata Fields

Specimen part

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accession-icon SRP074233
Effect of thermoneutral housing on non-alcoholic fatty liver disease in mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: To identify the impact of thermoneutral housing as opposed to standard housing on gene expression profiles in the mouse peripheral blood mononuclear cells (PBMCs), focusing on proinflammatory immune responses and high-fat diet induced non-alcoholic fatty liver disease pathogenesis. Methods: Expression profiles from PBMCs collected from C57Bl6 mice fed chow or high-fat diet for 8 weeks, following 2 weeks at either standard or thermoneutral housing conditions. Sequencing was performed in duplicate, the Illumina HiSeq 2500. Transcripts that passed quality filters were analyzed at the gene level, using Strand NGS for accurate alignment and quantification. Results: We mapped approximately 20million reads per sample to the mm10 genome using annotations produced by Ensembl, which represented 36186 transcripts. Approximately 14000 genes exhibited reasonable expression in at least one experimental condition. The primary focus was the effect of housing temperature while holding diet consistent (i.e. thermoneutral vs standard, both on high-rat diet), where ~2700 genes exhibited differential regulation. Conclusions: We present the transcriptomic profile of PBMCs from mice fed chow of high-fat diets, following either standard or thermoneutral housing. We obseve an augmented proinflammatory immune response. Overall design: PBMC expression profiles were characterized following eight weeks of chow or high-fat diet, following two weeks of standard or thermoneutral housing.

Publication Title

Modulation of ambient temperature promotes inflammation and initiates atherosclerosis in wild type C57BL/6 mice.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE22282
Mature dendritic cells under hypoxic condition
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Dendritic cells (DCs) are professional antigen-presenting cells whose activity is intrinsically linked to the microenvironment. Hypoxia is a condition of low oxygen tension occurring in inflammatory tissues that creates a special microenvironment conditioning cell physiology. We studied the effects of hypoxia on the differentiation of human monocytes into DCs and maturation into mature DCs. Mature DCs were differentiated in vitro from human monocytes under normoxic or hypoxic conditions and the gene expression profile was determined.

Publication Title

Hypoxia modulates the gene expression profile of immunoregulatory receptors in human mature dendritic cells: identification of TREM-1 as a novel hypoxic marker in vitro and in vivo.

Sample Metadata Fields

Specimen part, Disease, Treatment

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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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