Results 121 to 130 of about 27,576 (286)

Substrate Characterization of Mycobacterial Kinase PknG Revealing PknG‐KARS‐MAPK Phosphorylation Signaling Axis in Host

open access: yesiMetaMed, EarlyView.
This study employed multi‐omics approaches to investigate the regulatory mechanism of Mycobacterium PknG on host cell processes. We found that host lysine‐tRNA ligase (KARS) is a potential substrate of PknG; and PknG can regulate the immune response by catalyzing the phosphorylation of KARS at T592 and T595 sites, affecting the phosphorylation level in
Nana Tian   +13 more
wiley   +1 more source

Sustained mitogen-activated protein kinase activation reprograms defense metabolism and phosphoprotein profile in Arabidopsis thaliana.

open access: yesFrontiers in Plant Science, 2014
Mitogen-activated protein kinases (MAPKs) target a variety of protein substrates to regulate cellular signaling processes in eukaryotes. In plants, the number of identified MAPK substrates that control plant defense responses is still limited.
Ines eLassowskat   +5 more
doaj   +1 more source

Parallel proteomic and phosphoproteomic analyses reveal cellobiose‐dependent regulation of lignocellulase secretion in the filamentous fungus Neurospora crassa

open access: yesGCB Bioenergy, 2021
High cost of lignocellulases restricts the commercialization of biofuel and bio‐product production from lignocellulosic biomass. Constitutively expressed lignocellulases are considered to degrade cellulose to release small amount of soluble cellodextrins
Bentao Xiong   +11 more
doaj   +1 more source

PhosFox : a bioinformatics tool for peptide-level processing of LC-MS/MS-based phosphoproteomic data [PDF]

open access: yes, 2014
Peer ...
Aittokallio, Tero   +4 more
core   +1 more source

Benchmarking common quantification strategies for large-scale phosphoproteomics

open access: yesNature Communications, 2018
Comprehensive mass spectrometry (MS)-based proteomics is now feasible, but reproducible quantification remains challenging, especially for post-translational modifications such as phosphorylation.
Alexander Hogrebe   +5 more
semanticscholar   +1 more source

Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross‐Linking

open access: yesMass Spectrometry Reviews, EarlyView.
ABSTRACT The exploration of protein structure and function stands at the forefront of life science and represents an ever‐expanding focus in the development of proteomics. As mass spectrometry (MS) offers readout of protein conformational changes at both the protein and peptide levels, MS‐based structural proteomics is making significant strides in the
Haiyan Lu   +4 more
wiley   +1 more source

Multi-Omics Studies towards Novel Modulators of Influenza A Virus–Host Interaction

open access: yesViruses, 2016
Human influenza A viruses (IAVs) cause global pandemics and epidemics. These viruses evolve rapidly, making current treatment options ineffective.
Sandra Söderholm   +11 more
doaj   +1 more source

Post-translational regulation of metabolism in fumarate hydratase deficient cancer cells. [PDF]

open access: yes, 2018
Deregulated signal transduction and energy metabolism are hallmarks of cancer and both play a fundamental role in tumorigenesis. While it is increasingly recognised that signalling and metabolism are highly interconnected, the underpinning mechanisms of ...
Costa, Ana SH   +7 more
core   +2 more sources

Using phosphoproteomics data to understand cellular signaling: a comprehensive guide to bioinformatics resources

open access: yesClinical Proteomics, 2020
Mass spectrometry-based phosphoproteomics is becoming an essential methodology for the study of global cellular signaling. Numerous bioinformatics resources are available to facilitate the translation of phosphopeptide identification and quantification ...
Sara R. Savage, Bing Zhang
semanticscholar   +1 more source

Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research

open access: yesMass Spectrometry Reviews, EarlyView.
Abstract Cancer treatment is far from optimal also because current classification systems do not reflect the complex molecular status of the tumor and its phenotype in sufficient detail. To construct molecular tumor classifiers, omics tools provide complex molecular data reflecting many aspects from genotype to phenotype.
Jan Simonik   +3 more
wiley   +1 more source

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