Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeast
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Controlled Measurement and Comparative Analysis of Cellular Components in E. coli Reveals Broad Regulatory Changes in Response to Glucose StarvationSelection on Network Dynamics Drives Differential Rates of Protein Domain EvolutionSignificance of the BRAF mRNA Expression Level in Papillary Thyroid Carcinoma: An Analysis of The Cancer Genome Atlas Data.Extremely fast and incredibly close: cotranscriptional splicing in budding yeast.Reduced changes in protein compared to mRNA levels across non-proliferating tissuesProtein biogenesis machinery is a driver of replicative aging in yeastPost-transcriptional regulation across human tissues.Uncovering Hidden Layers of Cell Cycle Regulation through Integrative Multi-omic AnalysisTranscriptional signature induced by a metastasis-promoting c-Src mutant in a human breast cell line.Construction of dynamic probabilistic protein interaction networks for protein complex identificationPredictive analytics of environmental adaptability in multi-omic network models.Differential dynamics of the mammalian mRNA and protein expression response to misfolding stress.Direct and Absolute Quantification of over 1800 Yeast Proteins via Selected Reaction Monitoring.Leveraging genome-wide datasets to quantify the functional role of the anti-Shine-Dalgarno sequence in regulating translation efficiency.Rps26 directs mRNA-specific translation by recognition of Kozak sequence elements.Integration of omic networks in a developmental atlas of maize.Improved Ribosome-Footprint and mRNA Measurements Provide Insights into Dynamics and Regulation of Yeast Translation.The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics.Ribosome profiling the cell cycle: lessons and challenges.Translation initiation events on structured eukaryotic mRNAs generate gene expression noise.The importance of controlling mRNA turnover during cell proliferation.Petri Net computational modelling of Langerhans cell Interferon Regulatory Factor Network predicts their role in T cell activationEffect of Human Genetic Variability on Gene Expression in Dorsal Root Ganglia and Association with Pain Phenotypes.Functional Human α7 Nicotinic Acetylcholine Receptor (nAChR) Generated from Escherichia coli.Quantifying gene expression: the importance of being subtle.Protein Abundance Control by Non-coding Antisense Transcription.Determinants and Regulation of Protein Turnover in Yeast.riboviz: analysis and visualization of ribosome profiling datasets.Quantitating translational control: mRNA abundance-dependent and independent contributions and the mRNA sequences that specify them.No Evidence That Nitrogen Limitation Influences the Elemental Composition of Isopod Transcriptomes and Proteomes.Integrated omics dissection of proteome dynamics during cardiac remodeling.Scikit-ribo Enables Accurate Estimation and Robust Modeling of Translation Dynamics at Codon Resolution.Altered gene expression in tree shrew retina and retinal pigment epithelium produced by short periods of minus-lens wear.Stress-Triggered Phase Separation Is an Adaptive, Evolutionarily Tuned Response.The Co-regulation Data Harvester: automating gene annotation starting from a transcriptome database.In the Driver's Seat: The Case for Transcriptional Regulation and Coupling as Relevant Determinants of the Circadian Transcriptome and Proteome in Eukaryotes.Correlation Analyses Reveal a Limited Role of Transcription in Genome-Wide Differential MicroRNA Expression in Mammals.Addressing Global Ruminant Agricultural Challenges Through Understanding the Rumen Microbiome: Past, Present, and FutureNegative Evidence for a Functional Role of Neuronal DNMT3a in Persistent Pain
P2860
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P2860
Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeast
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Accounting for experimental no ...... -state protein levels in yeast
@ast
Accounting for experimental no ...... -state protein levels in yeast
@en
type
label
Accounting for experimental no ...... -state protein levels in yeast
@ast
Accounting for experimental no ...... -state protein levels in yeast
@en
prefLabel
Accounting for experimental no ...... -state protein levels in yeast
@ast
Accounting for experimental no ...... -state protein levels in yeast
@en
P2093
P2860
P1433
P1476
Accounting for experimental no ...... -state protein levels in yeast
@en
P2093
Alexander Franks
David S Choi
Gábor Csárdi
P2860
P304
P356
10.1371/JOURNAL.PGEN.1005206
P577
2015-05-07T00:00:00Z