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ProteomicsThe quantitative and condition-dependent Escherichia coli proteome
Measuring precise concentrations of proteins can provide insights into biological processes. Here we use efficient protein extraction and sample fractionation, as well as state-of-the-art quantitative mass spectrometry techniques to generate a comprehensive, condition-dependent protein-abundance map...
ORGANISM(S): Escherichia coli 
2015-10-12 | PXD000498 | Pride
E. coli Mass spectreomtry Absolute quantiifcation Ibaq 
MetabolomicsHomeostasis of the biosynthetic E. coli metabolome
Metabolite concentrations vary across conditions and such metabolome changes are relevant for metabolic and gene regulation. Here, we used LC-MS/MS to explore metabolite concentration changes in Escherichia coli. We measured 101 primary metabolites in 19 experimental conditions that include v...
2022-11-02 | MTBLS4249 | MetaboLights
MetabolomicsMetabolic responses of rice cultivars with different tolerance to combined heat and drought stress under field conditions
Rice is susceptible to both heat and drought stress, in particular during flowering and grain filling, when both grain yield and quality may be severely compromised. However, under field conditions, these two stresses rarely occur separately. Under well-watered conditions, plants avoid heat stress b...
2019-04-25 | MTBLS801 | MetaboLights
ProteomicsFrom coarse to fine: The absolute Escherichia coli proteome under diverse growth conditions
Accurate measurements of cellular protein concentrations are invaluable to quantitative studies of gene expression and physiology in living cells. Here, we developed a versatile mass spectrometric workflow based on data-independent acquisition proteomics (DIA/SWATH) together with a novel protein inf...
ORGANISM(S): Escherichia coli 
2021-03-11 | PXD014948 | Pride
Protein sectors Swath Absolute protein quantification Correlation to ribosome profiling Spectral library Dia Peptide query parameters Protein inference 
ProteomicsFrom coarse to fine: The absolute Escherichia coli proteome under diverse growth conditions
Accurate measurements of cellular protein concentrations are invaluable to quantitative studies of gene expression and physiology in living cells. Here, we developed a versatile mass spectrometric workflow based on data-independent acquisition proteomics (DIA/SWATH) together with a novel protein inf...
ORGANISM(S): Escherichia Coli 
2022-01-12 | PXD017258 | panorama
TranscriptomicsElucidation and validation of new targets of the global regulator PdhR in Escherichia coli
The pyruvate dehydrogenase regulator protein (PdhR) of Escherichia coli acts as a transcriptional regulator in a pyruvate dependent manner to control central metabolic fluxes. However, the complete PdhR regulon has not yet been uncovered. To achieve an extended understanding of its gene regulation n...
ORGANISM(S): Escherichia coli 
2011-12-21 | E-GEOD-31333 | biostudies-arrayexpress
UnknownE4 Transfer (E=P, As) to Ni Complexes.
Not available
S-EPMC8453863 | biostudies-literature
TranscriptomicsGene Expression of ApoE Null and ApoE Null/RAGE Diabetic and Non-diabetic Mice
The multi-ligand Receptor for AGE (RAGE) contributes to atherosclerosis in apolipoprotein (ApoE) null mice in both the non-diabetic and diabetic states. Previous studies using soluble RAGE, the extracellular ligand-binding domain of RAGE, or homozygous RAGE null mice showed that blockade or deletion...
ORGANISM(S): Mus musculus 
2010-03-07 | E-GEOD-15729 | biostudies-arrayexpress
ProteomicsThe response of the Escherichia coli proteome to deuteration and minimal media
Substitution of hydrogen for deuterium strongly affects biological systems. While higher eukaryotes, such as plants and mammals, hardly survive >30% deuterium content of water and nutrients, many microorganisms can grow on fully deuterated media albeit at reduced rates. Due to the large relative mas...
ORGANISM(S): Escherichia coli 
2020-05-26 | PXD009736 | Pride
Ecoli Label-free quantification Deuteration 
ProteomicsM.musculus - B cell, iBAQ (Gomez-cabreroetal,scidata2019)
abundance based on iBAQ, Interaction consistency score: 10.0, Coverage: 8
ORGANISM(S): 10090 
2019-00-00 | 3223737855 | PAXDB
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