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accession-icon GSE3665
Global transcriptional machinery engineering in E. coli in the presence and absence of ethanol
  • organism-icon Escherichia coli
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

We measured transcriptional changes in an effort to understand mechanisms of action resulting from the introduction of global transcriptional machinery engineering in E. coli in the presence and absence of ethanol.

Publication Title

Global transcription machinery engineering: a new approach for improving cellular phenotype.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21652
Expression data for transcriptional engineering mutants capable of L-tyrosine overproduction
  • organism-icon Escherichia coli
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

We measured transcriptional changes in four strains P2, rpoD3, rpoA14, and rpoA27 - in an effort to understand mechanisms by which L-tyrosine production is positively influenced by the presence of mutant rpoA- and rpoD-encoded transcriptional components.

Publication Title

Rational, combinatorial, and genomic approaches for engineering L-tyrosine production in Escherichia coli.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE5185
Engineering Yeast Transcription Machinery for Improved Ethanol Tolerance and Production
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Global transcription machinery engineering (gTME) is an approach for reprogramming gene transcription to elicit cellular phenotypes important for technological applications. Here we show the application of gTME to Saccharomyces cerevisiae for improved glucose/ethanol tolerance, a key trait for many biofuels programs. Mutagenesis of the transcription factor Spt15p and selection led to dominant mutations that conferred increased tolerance and more efficient glucose conversion to ethanol. The desired phenotype results from the combined effect of three separate mutations in the SPT15 gene [serine substituted for phenylalanine (Phe177Ser) and, similarly, Tyr195His, and Lys218Arg]. Thus, gTME can provide a route to complex phenotypes that are not readily accessible by traditional methods.

Publication Title

Engineering yeast transcription machinery for improved ethanol tolerance and production.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE29962
Nutrient-dependent growth of NIH3T3 and NIH3T3 K-ras cell lines.
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Expression profiling of normal NIH3T3 and transformed NIH3T3 K-ras cell lines grown for 72 hours in optimal glucose availability (25 mM glucose) or low glucose availability (1 mM). Low glucose induces apoptosis in transformed cells as compared to normal ones.

Publication Title

Oncogenic K-Ras decouples glucose and glutamine metabolism to support cancer cell growth.

Sample Metadata Fields

Cell line, Time

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accession-icon SRP092010
Hit-and-run'' programing of CAR-T cells using mRNA nanocarriers
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNAseq of ex vivo CD8 T cell lineages and in vitro differentiated CD8 T cells treated with nanocarriers encapsulating control or Foxo1-3A transcription factor mRNA Overall design: Gene expression in central memory CD8 and in vitro Foxo1-3A nanoparticle treated CD8 were compared to control cells cultured in vitro with eGFP mRNA encapsulating nanoparticles.

Publication Title

Hit-and-run programming of therapeutic cytoreagents using mRNA nanocarriers.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP072919
Merkel cell polyomavirus small T antigen promotes pro-glycolytic metabolic perturbations required for transformation
  • organism-icon Homo sapiens
  • sample-icon 77 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Merkel cell polyomavirus (MCPyV) is an etiological agent of Merkel cell carcinoma (MCC), a highly aggressive skin cancer. The MCPyV small tumor antigen (ST) is required for maintenance of MCC and can transform normal cells. To gain insight into cellular perturbations induced by MCPyV ST, we performed transcriptome analysis of normal human fibroblasts with inducible expression of ST. MCPyV ST dynamically alters the cellular transcriptome with increased levels of glycolytic genes, including the monocarboxylate lactate transporter SLC16A1 (MCT1). Extracellular flux analysis revealed increased lactate export reflecting elevated aerobic glycolysis in ST expressing cells. Inhibition of MCT1 activity suppressed the growth of MCC cell lines and impaired MCPyV-dependent transformation of IMR90 cells. Both NF-?B and MYC have been shown to regulate MCT1 expression. While MYC was required for MCT1 induction, MCPyV-induced MCT1 levels decreased following knockdown of the NF-?B subunit RelA, supporting a synergistic activity between MCPyV and MYC in regulating MCT1 levels. Several MCC lines had high levels of MYCL and MYCN but not MYC. Increased levels of MYCL was more effective than MYC or MYCN in increasing extracellular acidification in MCC cells. Our results demonstrate the effects of MCPyV ST on the cellular transcriptome and reveal that transformation is dependent, at least in part, on elevated aerobic glycolysis. Overall design: Expression of MCPyV ST or GFP was induced in IMR90 fibroblasts, and triplicate RNA samples were extracted and sequenced every 8 hours for a total of 96 hours

Publication Title

Merkel Cell Polyomavirus Small T Antigen Promotes Pro-Glycolytic Metabolic Perturbations Required for Transformation.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE4709
Gcn4p-mediated transcriptional stress response
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

The transcriptional data from an integrative analysis of transcriptional and metabolic stress responses that provides a more complete understanding of the mechanisms by which genetic regulatory circuits mediate metabolic phenotype.

Publication Title

Linking high-resolution metabolic flux phenotypes and transcriptional regulation in yeast modulated by the global regulator Gcn4p.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP048669
RNA-Seq Samples of siTFE3 in 8988T PDA Cell Line to Investigate Transcriptional Control of the Autophagy-Lysosome System
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The activation of cellular quality control pathways to maintain metabolic homeostasis and mitigate diverse cellular stresses is emerging as a critical growth and survival mechanism in many cancers. Autophagy, a highly conserved cellular self-degradative process, is a key player in the initiation and maintenance of pancreatic ductal adenocarcinoma (PDA). However, the regulatory circuits that activate autophagy, and how they enable reprogramming of PDA cell metabolism are unknown. We now show that autophagy regulation in PDA occurs as part of a broader program that coordinates activation of lysosome biogenesis, function and nutrient scavenging, through constitutive activation of the MiT/TFE family of bHLH transcription factors. In PDA cells, the MiT/TFE proteins - MITF, TFE3 and TFEB - override a regulatory mechanism that controls their nuclear translocation, resulting in their constitutive activation. By orchestrating the expression of a coherent network of genes that induce high levels of lysosomal catabolic function, the MiT/TFE factors are required for proliferation and tumorigenicity of PDA cells. Importantly, unbiased global metabolite profiling reveals that MiT/TFE-dependent autophagy-lysosomal activation is specifically required to maintain intracellular AA pools in PDA. This AA flux is part of a program that is essential for metabolic homeostasis and bioenergetics of PDA but not for their non-transformed counterparts. These results identify the MiT/TFE transcription factors as master regulators of the autophagy-lysosomal system in PDA and demonstrate a central role of the autophagosome-lysosome compartment in maintaining tumor cell metabolism through alternative amino acid acquisition and utilization. Overall design: Examination of mRNA levels in pancreatic ductal adenocarcinoma (PDA) cell line 8988T after treatment with siRNA for control or TFE3

Publication Title

Transcriptional control of autophagy-lysosome function drives pancreatic cancer metabolism.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE60499
Expression data from PKM1 or PKM2 expressing mouse embryonic fibroblasts.
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We profiled global gene expression for two separate lines of mouse embryonic fibroblasts and find that deletion of PKM2 and expression of PKM1 does not alter global gene expression profiles.

Publication Title

Pyruvate kinase isoform expression alters nucleotide synthesis to impact cell proliferation.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP069083
Canalization of gene expression is a major signature of regulatory cold adaptation in temperate "Drosophila melanogaster"
  • organism-icon Drosophila melanogaster
  • sample-icon 58 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptome analysis may provide means to investigate the underlying genetic causes of shared and divergent phenotypes in different populations and help to identify potential targets of adaptive evolution. Applying RNA sequencing to whole male Drosophila melanogaster from the ancestral tropical African environment and a very recently colonized cold-temperate European environment at both standard laboratory conditions and following a cold shock, we seek to uncover the transcriptional basis of cold adaptation. In both the ancestral and the derived populations, the predominant characteristic of the cold shock response is the swift and massive upregulation of heat shock proteins and other chaperones. Although we find ~30% of the genome to be differentially expressed following a cold shock, only relatively few genes (n=26) are up- or down-regulated in a population-specific way. Intriguingly, 24 of these 26 genes show a greater degree of differential expression in the African population. Likewise, there is an excess of genes with particularly strong cold-induced changes in expression in Africa on a genome-wide scale. The analysis of the transcriptional cold shock response most prominently reveals an upregulation of components of a general stress response, which is conserved over many taxa and triggered by a plethora of stressors. Despite the overall response being fairly similar in both populations, there is a definite excess of genes with a strong cold-induced fold-change in Africa. This is consistent with a detrimental deregulation or an overshooting stress response. Thus, the canalization of European gene expression might be responsible for the increased cold tolerance of European flies. Overall design: mRNA profiles of whole Drosophila melanogaster adult males from a Africa (4 lines) and Europe (4 lines) during a 7h cold shock experiment. Samples include room temperature controls, 3.5h into the cold shock, 15 minutes after recovery and 90 minutes after recovery. 2 biological replicates each.

Publication Title

Canalization of gene expression is a major signature of regulatory cold adaptation in temperate Drosophila melanogaster.

Sample Metadata Fields

Sex, Subject

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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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