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accession-icon SRP055410
Pseudomonas aeruginosa PA14 differential gene expression in PA14_69770 mutants
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Extremely slow growth imposed by energy limitation is a ubiquitous but poorly understood physiological state for microbes. We used oxygen limitation to impose this state on Pseudomonas aeruginosa and measured newly synthesized proteins using a time-selective proteome labeling method (BONCAT) to identify relevant regulators and metabolic pathways. We further characterized one upregulated protein that has no homology to any known protein domains. This small, acidic protein is post-transcriptionally regulated and physically interacts with RNA polymerase, binding near the secondary channel during transcription elongation, and leading to widespread effects on gene expression. For some genes, the impacts on transcript and protein levels are different, suggesting possible modulation of translation as well. These effects have phenotypic consequences, as deletion of the gene affects biofilm formation, secondary metabolite production, and fitness in fluctuating conditions. Based on these phenotypes, we have designated the protein SutA (survival under transitions). Overall design: Profiles of rRNA-depleted total RNA from WT, ?sutA (PA14_69770), and SutA-overexpressing cells grown late exponential phase in minimal medium containing pyruate as the carbon source, in triplicate

Publication Title

SutA is a bacterial transcription factor expressed during slow growth in Pseudomonas aeruginosa.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE58749
Human proliferating and differentiating keratinocytes treated with retinoic acid or 3,4-didehydroretinoic acid
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Targets of Retinoic Acid (RA) and 3,4-didehydroretinoic acid (ddRA) were identified in primary human epidermal keratinocytes grown in the presence of atRA or ddRA for 4 and 24 hours.

Publication Title

The effect of two endogenous retinoids on the mRNA expression profile in human primary keratinocytes, focusing on genes causing autosomal recessive congenital ichthyosis.

Sample Metadata Fields

Treatment

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accession-icon SRP126511
Global transcriptional changes in U87MG glioblastoma cells upon shRNA-mediated TRIM52 knockdown
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

shRNA-mediated ablation of the RING-finger protein TRIM52 from multiple glioblastoma cell lines reduces proliferation and tumorigenesis. To identify gene signatures underlying this phenomenon, transcritional profile of TRIM52 knockdown cells was compared to control cells. Upon TRIM52 ablation, we find 278 differentially regulated genes. Gene ontology analysis reveals that many of the upregulated genes are associated with glycolysis and biosynthetic processes. Overall design: U87MG glioblastoma cells were stably transduced with doxycycline-inducible shRNA constructs targeting TRIM52 (two different shRNAs) or controls (two different non-targeting shRNAs). Knockdown was induced for five days using 2µg/ml doxycycline. shRNA expressing cells were sorted based on shRNA-coupled GFP expression via flow cytometry. mRNA sequening was performed in duplicate per shRNA cell line.

Publication Title

Human tripartite motif protein 52 is required for cell context-dependent proliferation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE40311
A model system for assessing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells.

Sample Metadata Fields

Cell line

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accession-icon SRP015013
A model system for assessing the ability of tag sequencing to detect genes specific for malignant B-cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

The purpose of this study was to develop a quantification method that can be used to assess the ability of tag-seq to detect malignant B-cell transcripts. The data support that tumour cell concentration is an important variable with fundamental impact on gene expression pattern. Overall design: We analysed eight serial dilutions of the malignant B-cell line, OCI-Ly8, into the embryonic kidney cell line, HEK293, by tag-sequencing. No technical replicates were performed.

Publication Title

A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE40309
A model system for assessing the ability of exon microarray to detect genes specific for malignant B-cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

The purpose of this study was to develop a quantification method that can be used to assess the ability of exon microarray to detect malignant B-cell transcripts.

Publication Title

A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells.

Sample Metadata Fields

Cell line

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accession-icon GSE50118
Effect of AMPK activation by AICAR on MA-10 Leydig cell transcriptome
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Steroid hormones regulate essential physiological processes and inadequate levels are associated with various pathological conditions. In testosterone-producing Leydig cells, steroidogenesis is strongly stimulated by LH via its receptor leading to increased cAMP production and expression of the steroidogenic acute regulatory (STAR) protein, which is essential for the initiation of steroidogenesis. Leydig cell steroidogenesis then passively decreases following the rapid degradation of cAMP into AMP by phosphodiesterases. In this study, we show that AMP-activated protein kinase (AMPK) is activated following cAMP breakdown in MA-10 and MLTC-1 Leydig cells. Activated AMPK then actively inhibits cAMP-induced steroidogenesis by repressing the expression of key regulators of steroidogenesis including Star and Nr4a1. Similar results were obtained in Y-1 adrenal cells and in the constitutive steroidogenic cell line R2C. Our data identify AMPK as an active repressor of steroid hormone biosynthesis in steroidogenic cells that is essential to preserve cellular energy and prevent excess steroid production.

Publication Title

A cell-autonomous molecular cascade initiated by AMP-activated protein kinase represses steroidogenesis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP183682
Single-cell RNA-sequencing of CD14+ monocyte differentiation with M-CSF stimulus
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 550

Description

We obtained single-cell RNA-sequencing (scRNA-seq) profiles of CD14+ monocytes isolated from human peripheral blood at 0, 3 and 6 days after M-CSF stimulation (to differentiate the cells into macrophages) across multiple donors. Integration of single-cell RNA sequencing (scRNA-seq) data from multiple experiments, laboratories, and technologies can uncover biological insights, but current methods for scRNA-seq data integration are limited by a requirement for datasets to derive from functionally similar cells. We use a novel algorithm, Scanorama, to identify and merge the shared cell types among all pairs of datasets and to accurately integrate heterogeneous scRNA-seq datasets. Scanorama is sensitive to subtle temporal changes within the same cell lineage, successfully integrating functionally similar cells across time series data of CD14+ monocytes at different stages of differentiation into macrophages. Scanorama is not only able to differentiate between completely disparate cell types but is also sensitive to subtler transcriptional changes within a cell type due to processes like stimulation. Overall design: scRNA-seq of human CD14+ monocytes at 0, 3, and 6 days after M-CSF stimulation in multiple donors

Publication Title

Efficient integration of heterogeneous single-cell transcriptomes using Scanorama.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE8440
Expression data from Congenital disorders of Glycosylation type-1 patients (CDG-I)
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Disruption of N-linked glycosylation has a broad impact on proper glycosylation of nascent glycoproteins in the endoplasmic reticulum, which affect multiple signalling pathways( by changing the stability of membrane proteins or the signalling ability of membrane receptors) and may be responsible of the fibrotic stage associated to CDG type-I.

Publication Title

Fibrotic response in fibroblasts from congenital disorders of glycosylation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE37404
Ionizing Radiation-induced expression response in Drosophila Larvae
  • organism-icon Drosophila melanogaster
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Genome-wide expression analysis comparison with and without ionizing radiation in p53 mutant and wild type Drosophila larvae

Publication Title

Genome-wide expression analysis identifies a modulator of ionizing radiation-induced p53-independent apoptosis in Drosophila melanogaster.

Sample Metadata Fields

Sex, Specimen part, 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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