Dynamic profiling of the protein life cycle in response to pathogens (RNA-seq)
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE59784 | GEO | 2015/03/06
SECONDARY ACCESSION(S): PRJNA256196
REPOSITORIES: GEO
Similar Datasets
Project description:Protein expression is regulated by production and degradation of mRNAs and proteins, but their specific relationships remain unknown. We combine measurements of protein production and degradation and mRNA dynamics to build a quantitative genomic model of the differential regulation of gene expression in LPS stimulated mouse dendritic cells. Changes in mRNA abundance play a dominant role in determining most dynamic fold changes in protein levels. Conversely, the preexisting proteome of proteins performing basic cellular functions is remodeled primarily through changes in protein production or degradation, accounting for over half of the absolute change in protein molecules in the cell. Thus, the proteome is regulated by transcriptional induction of novel cellular functions and remodeling of preexisting functions through the protein life cycle.
2015-03-06 | GSE59792 | GEO
Project description:Protein expression is regulated by production and degradation of mRNAs and proteins, but their specific relationships remain unknown. We combine measurements of protein production and degradation and mRNA dynamics to build a quantitative genomic model of the differential regulation of gene expression in LPS stimulated mouse dendritic cells. Changes in mRNA abundance play a dominant role in determining most dynamic fold changes in protein levels. Conversely, the preexisting proteome of proteins performing basic cellular functions is remodeled primarily through changes in protein production or degradation, accounting for over half of the absolute change in protein molecules in the cell. Thus, the proteome is regulated by transcriptional induction of novel cellular functions and remodeling of preexisting functions through the protein life cycle. Mouse primary dendritic cells were treated with LPS or mock stimulus and profiled over a 12-hour time course. Cells were grown in M-labeled SILAC media, which was replaced with H-labeled SILAC media at time 0. Aliquots were taken at 0, 0.5, 1, 2, 3, 4, 5, 6, 9, and 12 hours post-stimulation and added to equal volumes of a master mix of unlabeled (L) cells for the purpose of normalization. RNA-Seq was performed at 0, 1, 2, 4, 6, 9, and 12 hours post-stimulation.
2015-03-06 | E-GEOD-59792 | biostudies-arrayexpress
Project description:Protein expression is regulated by production and degradation of mRNAs and proteins, but their specific relationships remain unknown. We combine measurements of protein production and degradation and mRNA dynamics to build a quantitative genomic model of the differential regulation of gene expression in LPS stimulated mouse dendritic cells. Changes in mRNA abundance play a dominant role in determining most dynamic fold changes in protein levels. Conversely, the preexisting proteome of proteins performing basic cellular functions is remodeled primarily through changes in protein production or degradation, accounting for over half of the absolute change in protein molecules in the cell. Thus, the proteome is regulated by transcriptional induction of novel cellular functions and remodeling of preexisting functions through the protein life cycle. Mouse primary dendritic cells were treated with LPS or mock stimulus and profiled over a 12-hour time course. Cells were grown in M-labeled SILAC media, which was replaced with H-labeled SILAC media at time 0. Aliquots were taken at 0, 0.5, 1, 2, 3, 4, 5, 6, 9, and 12 hours post-stimulation and added to equal volumes of a master mix of unlabeled (L) cells for the purpose of normalization. RNA-Seq was performed at 0, 1, 2, 4, 6, 9, and 12 hours post-stimulation.
2015-03-06 | E-GEOD-59784 | biostudies-arrayexpress
Project description:Jovanovic M,Rooney M, Mertins P, Przybylski D, Chevrier N, Satija R, Rodriguez EH, Fields AP, Schwartz S, Raychowdhury R, Mumbach M, Eisenhaure T, Rabani M, Gennert D, Lu D, Delorey T, Weissman JS, Carr SA, Hacohen N, Regev A, submitted 2015. Protein expression is regulated by production and degradation of mRNAs and proteins, but their specific relationships remain unknown. We combine measurements of protein production and degradation and mRNA dynamics to build a quantitative genomic model of the differential regulation of gene expression in LPS stimulated mouse dendritic cells. Changes in mRNA abundance play a dominant role in determining most dynamic fold changes in protein levels. Conversely, the preexisting proteome of proteins performing basic cellular functions is remodeled primarily through changes in protein production or degradation, accounting for over half of the absolute change in protein molecules in the cell. Thus, the proteome is regulated by transcriptional induction of novel cellular functions and remodeling of preexisting functions through the protein life cycle.
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2020-03-31 | PXD016004 | Pride
Project description:Quercetin has been shown to act as an anti-carcinogen in experimental colorectal cancer (CRC). The aim of the present study was to characterise transcriptome and proteome changes occurring in the distal colon mucosa of rats supplemented with 10 g quercetin/kg diet for 11 weeks. Transcriptome data analysed with Gene Set Enrichment Analysis showed that quercetin significantly downregulated the potentially oncogenic mitogen-activated protein kinase (Mapk) pathway. In addition, quercetin enhanced expression of tumor suppressor genes, including Pten, Tp53 and Msh2, and of cell cycle inhibitors, including Mutyh. Furthermore, dietary quercetin enhanced genes involved in phase I and II metabolism, including Fmo5, Ephx1, Ephx2 and Gpx2. Quercetin increased PPARα target genes, and concomitantly enhanced expression genes in volved in of mitochondrial fatty acid degradation. Proteomics performed in the same samples revealed 33 affected proteins, of which 4 glycolysis enzymes and 3 heatshock proteins were decreased. A proteome-transcriptome comparison showed a low correlation, but both pointed out towards altered energy metabolism. In conclusion, transcriptomics combined with proteomics showed that dietary quercetin evoked changes contrary to those found in colorectal carcinogenesis. These tumor-protective mechanisms were associated with a shift in energy production pathways, pointing at decreased glycolysis in the cytoplasm towards increased fatty acid degradation in the mitochondria. Experiment Overall Design: After an 11-week diet, rats fed quercetin or the control diet were sacrificed and fold changes in gene expression were detemined as quercetin (n=4) vs. control (n=4)
2008-06-15 | E-GEOD-7479 | biostudies-arrayexpress
Project description:Interventions: Case series:None
Primary outcome(s): exon genes;transcriptional expression;proteome;protein phosphorylation group
Study Design: Sequential
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Project description:Eukaryotic gene expression is controlled at the transcriptional, translational and protein degradation level and its principles are starting to emerge. While transcriptional outcomes, which are commonly also used as a proxy for protein abundance, have been investigated on a larger scale, the study of translational output requires large-scale proteomics data. However, data for proteome alterations by systematic assessment of knockouts genome-wide is not available yet. We here determined the individual proteome changes for 3,308 non-essential genes in the yeast S. pombe (www.butterlab.org/SpProtQuant). We observed that genes with high proteome remodeling are predominantly involved in gene expression regulation, in particular acting as translational regulators. Focusing on those knockout strains with a large number of altered proteins, we performed paired transcriptome/proteome measurements to uncover translational regulators and features of translational regulation. Furthermore, by similarity clustering of these proteome changes, we infer gene functionality that can be extended to other species such as human or baker’s yeast.
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Project description:In this study, temporal changes in the proteome, transcriptome and extracellular metabolome of B. subtilis caused by glucose starvation were monitored. For proteomic profiling, a combination of in vivo metabolic labeling and shot gun mass spectrometric analysis was carried out for five different proteomic subfractions (i. cytosolic, ii. extracellular, iii. membrane, iv. integral membrane, and v. surface proteome fraction) leading to the identification of about 52% of the predicted proteome of B. subtilis. Acquired proteomic and transcriptomic data were analyzed using Voronoi treemaps which link functional classifications and relative expression changes of gene products according to their fate in the stationary phase. The data obtained enables for in-depth analysis of major physiological processes including protein degradation and is the first comprehensive profiling of changes in the membrane subfraction.
2010-12-01 | GSE24058 | GEO
Project description:Proteomics and transcriptomics data of tomato fruits (Solanum lycopersicum L. var. Moneymaker) at 9 developmental stages were used to calculate with a mathematical model the rate constants of synthesis and degradation for over 1,000 proteins. Proteome and transcriptome were extracted from the pericarp tissue and analyzed using label-free LC-MS/MS (Orbitrap Q-Exactive) and RNA Sequencing (Illumina), respectively. Absolute quantification of transcriptome has been obtained by spiking-in internal standard before total-RNA extraction. Absolute quantification of the proteome has been approximated using the "Total Protein" approach. An OD equation defining the changes of protein content has been used to determine the synthesis and degradation rate constants (day -1). Almost 2,400 transcript-protein pairs were identified and the translation and degradation rate constants were determined for more than a thousand proteins. The model predicted median values of about 2 min for the translation and a lifetime of approximately 11 days. Proteins involved in protein synthesis had higher ks and kd values, indicating that the protein machinery is particularly flexible. None sequenced-based features were found that could be used to predict these rate constants.
2019-03-23 | GSE128739 | GEO