Novel Two-Dimensional MoS2–Ti4+ Nanomaterial for Efficient Enrichment of Phosphopeptides and Large-Scale Identification of Histidine Phosphorylation by Mass Spectrometry

2020 ◽  
Vol 92 (19) ◽  
pp. 12801-12808
Author(s):  
Yuanyuan Liu ◽  
Chaoshuang Xia ◽  
Zhiya Fan ◽  
Fenglong Jiao ◽  
Fangyuan Gao ◽  
...  
2021 ◽  
Author(s):  
◽  
Hannah D. Hoang

<p>The goal of this research was to use two-dimensional electrophoresis to examine changes in abundance of enzymes of the glycolytic pathway in the yeast Saccharomyces cerevisiae grown on carbon sources that support either fermentation to ethanol or oxidative metabolism. Large-scale profiling of protein abundances (expression proteomics) often detects changes in protein abundance between physiological states. Such changes in enzyme abundance are often interpreted as evidence of metabolic change although most textbooks emphasise control of enzyme activities not enzyme amount. Two-dimensional difference gel electrophoresis (2DDIGE) was therefore used to examine differences in protein abundance between S. cerevisiae strain BY4741 grown on either glucose (fermentation) or glycerol. Growth on 2% glucose, but not on glycerol, was accompanied by extensive production of ethanol. Doubling times for growth were 2 h 5 min in glucose and 9 h 41 min in glycerol. Conditions for extraction and two-dimensional electrophoresis of proteins were established. One hundred and seventy nine proteins were identified by MALDI mass spectrometry of tryptic digests of protein spots excised from Coomassie stained gels. All of the enzymes for conversion of glucose to ethanol, except for the second enzyme of glycolysis phosphoglucose isomerase, were identified using twodimensional electrophoresis of 100 μg of protein from cells grown on 2% glucose. Identification of proteins excised from the DIGE gels was more challenging, partly because of the lower amount of protein. Eight of the proteins that showed statistically significant differences in abundance (≥ 2-fold, p ≤ 0.01) between glucose and glycerol were identified by mass spectrometry of proteins excised from the 2DDIGE gels, and a further 18 varying proteins were matched to proteins identified from the Coomassie stained gels. Of these total 26 identified or matched proteins, subunits of five of the enzymes for conversion of glucose to ethanol were more abundant from the fermentative cells grown on glucose. The more abundant glycolytic enzymes were phosphofructokinase 2, fructose-1,6-bisphosphate aldolase, triosephosphate isomerase and enolase, plus pyruvate decarboxylase that was required for conversion of the glycolytic product pyruvate to acetaldehyde. The alcohol dehydrogenases Adh1 and Adh4 that convert acetaldehyde to ethanol were detected but did not vary significantly between growth on glucose or glycerol. The results confirmed that in this case changes in abundance of some enzymes were consistent with the altered metabolic output. Future studies should examine whether changes in the abundance and activity of these enzymes are responsible for the differences in metabolism.</p>


Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Margaret B Lucitt ◽  
Tom S Price ◽  
Angel Pizarro ◽  
Weichen Wu ◽  
Anastasia Yocum Yocum ◽  
...  

Zebrafish is an attractive vertebrate model organism for studies into the molecular mechanisms of cardiovascular development, pathology and pharmacology. Studies into the genetics of protein expression are largely constrained by the availability of specific antibodies. Mass spectrometry based proteomics methods have the potential to overcome these hurdles. This requires firstly an accurate characterization of proteins accessible to targeted quantitative analysis. We applied mass spectrometric proteomic methodology and statistical analysis to create profiles of proteins expressed during zebrafish embryonic development. We detected 1307 proteins from 327,906 peptide sequence identifications at 72 hpf and 120 hpf with false identification rates of less than 1% using two dimensional chromatography tandem mass spectrometry. Close to two thirds of all detected proteins were derived from hypothetical or predicted gene models or were entirely unannotated. Comparison of protein expression in embryos by two dimensional gel electrophoresis differential in gel analysis (DIGE) revealed that proteins involved in energy production and transcription/ translation were relatively more abundant at 72 hpf consistent with the faster synthesis of cellular proteins during organismal growth. Pathway analysis revealed similar expression of proteins at both stages that relate to calcium, insulin receptor, ERK/MAP kinase, vascular epithelial growth factor signaling, and WNT/b-Catenin. Similarly both stages expressed proteins of the complement and coagulation cascades, GM-CSF, PTEN, and sonic hedgehog signaling and inflammatory signals. The data are accessible in a fully searchable database (http://bioinf.itmat.upenn.edu/zebrafish) that links protein identifications to existing resources including the Zebrafish Model Organism Database. This new resource should facilitate the selection of candidate proteins for targeted quantitation and may refine systematic genetic network analysis in vertebrate development and biology. This is the first large-scale proteome analysis of embryonic zebrafish tissue to reveal previously uncharacterized proteins and detect regulated proteins with relevance for cardiovascular function and development.


1996 ◽  
Vol 93 (25) ◽  
pp. 14440-14445 ◽  
Author(s):  
A. Shevchenko ◽  
O. N. Jensen ◽  
A. V. Podtelejnikov ◽  
F. Sagliocco ◽  
M. Wilm ◽  
...  

2021 ◽  
Author(s):  
◽  
Hannah D. Hoang

<p>The goal of this research was to use two-dimensional electrophoresis to examine changes in abundance of enzymes of the glycolytic pathway in the yeast Saccharomyces cerevisiae grown on carbon sources that support either fermentation to ethanol or oxidative metabolism. Large-scale profiling of protein abundances (expression proteomics) often detects changes in protein abundance between physiological states. Such changes in enzyme abundance are often interpreted as evidence of metabolic change although most textbooks emphasise control of enzyme activities not enzyme amount. Two-dimensional difference gel electrophoresis (2DDIGE) was therefore used to examine differences in protein abundance between S. cerevisiae strain BY4741 grown on either glucose (fermentation) or glycerol. Growth on 2% glucose, but not on glycerol, was accompanied by extensive production of ethanol. Doubling times for growth were 2 h 5 min in glucose and 9 h 41 min in glycerol. Conditions for extraction and two-dimensional electrophoresis of proteins were established. One hundred and seventy nine proteins were identified by MALDI mass spectrometry of tryptic digests of protein spots excised from Coomassie stained gels. All of the enzymes for conversion of glucose to ethanol, except for the second enzyme of glycolysis phosphoglucose isomerase, were identified using twodimensional electrophoresis of 100 μg of protein from cells grown on 2% glucose. Identification of proteins excised from the DIGE gels was more challenging, partly because of the lower amount of protein. Eight of the proteins that showed statistically significant differences in abundance (≥ 2-fold, p ≤ 0.01) between glucose and glycerol were identified by mass spectrometry of proteins excised from the 2DDIGE gels, and a further 18 varying proteins were matched to proteins identified from the Coomassie stained gels. Of these total 26 identified or matched proteins, subunits of five of the enzymes for conversion of glucose to ethanol were more abundant from the fermentative cells grown on glucose. The more abundant glycolytic enzymes were phosphofructokinase 2, fructose-1,6-bisphosphate aldolase, triosephosphate isomerase and enolase, plus pyruvate decarboxylase that was required for conversion of the glycolytic product pyruvate to acetaldehyde. The alcohol dehydrogenases Adh1 and Adh4 that convert acetaldehyde to ethanol were detected but did not vary significantly between growth on glucose or glycerol. The results confirmed that in this case changes in abundance of some enzymes were consistent with the altered metabolic output. Future studies should examine whether changes in the abundance and activity of these enzymes are responsible for the differences in metabolism.</p>


2020 ◽  
Vol 86 (7) ◽  
pp. 12-19
Author(s):  
I. V. Plyushchenko ◽  
D. G. Shakhmatov ◽  
I. A. Rodin

A viral development of statistical data processing, computing capabilities, chromatography-mass spectrometry, and omics technologies (technologies based on the achievements of genomics, transcriptomics, proteomics, metabolomics) in recent decades has not led to formation of a unified protocol for untargeted profiling. Systematic errors reduce the reproducibility and reliability of the obtained results, and at the same time hinder consolidation and analysis of data gained in large-scale multi-day experiments. We propose an algorithm for conducting omics profiling to identify potential markers in the samples of complex composition and present the case study of urine samples obtained from different clinical groups of patients. Profiling was carried out by the method of liquid chromatography mass spectrometry. The markers were selected using methods of multivariate analysis including machine learning and feature selection. Testing of the approach was performed using an independent dataset by clustering and projection on principal components.


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