scholarly journals Tandem mass tag (TMT)-based proteomic analysis of Cryptosporidium andersoni oocysts before and after excystation

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Dong-Fang Li ◽  
Zhao-Hui Cui ◽  
Lu-Yang Wang ◽  
Kai-Hui Zhang ◽  
Le-Tian Cao ◽  
...  
Keyword(s):  
Proteomic Analysis ◽  
Vaccine Development ◽  
Expression Profiles ◽  
Protein Composition ◽  
Tandem Mass ◽  
Control Of Gene Expression ◽  
Proteomic Data ◽  
Cryptosporidium Andersoni ◽  
Before And After ◽  
Infected Adult

Abstract Background Cryptosporidium andersoni initiates infection by releasing sporozoites from oocysts through excystation. However, the proteins involved in excystation are unknown. Determining the proteins that participate in the excystation of C. andersoni oocysts will increase our understanding of the excystation process. Methods Cryptosporidium andersoni oocysts were collected and purified from the feces of naturally infected adult cows. Tandem mass tags (TMT), coupled with liquid chromatography–tandem mass spectrometry (LC–MS/MS) proteomic analysis, were used to investigate the proteomic expression profiles of C. andersoni oocysts before and after excystation. Results Proteomic analysis identified a total of 1586 proteins, of which 17 were differentially expressed proteins (DEPs) upon excystation. These included 10 upregulated and seven downregulated proteins. The 17 proteins had multiple biological functions associated with control of gene expression at the level of transcription and biosynthetic and metabolic processes. Quantitative real-time RT-PCR of eight selected genes validated the proteomic data. Conclusions This study provides information on the protein composition of C. andersoni oocysts as well as possible excystation factors. The data may be useful in identifying genes for diagnosis, vaccine development, and immunotherapy for Cryptosporidium. Graphical Abstract

scholarly journals TMT-based Proteomic Analysis and Protein Expression During Excystation of Cryptosporidium Anderson

2021 ◽  
Author(s):  
Dongfang Li ◽  
Zhaohui Cui ◽  
Luyang Wang ◽  
Kaihui Zhang ◽  
Letian Cao ◽  
...  
Keyword(s):  
Proteomic Analysis ◽  
Vaccine Development ◽  
Protein Composition ◽  
Tandem Mass ◽  
Liquid Chromatograph ◽  
Control Of Gene Expression ◽  
Proteomic Data ◽  
Cryptosporidium Andersoni ◽  
New Information ◽  
Infected Adult

Abstract Background: Cryptosporidium andersoni (C. andersoni) initiates infection by the release of sporozoites through excystation. However, the proteins involved in excystation remain unknown. Researching the proteins that participate in the excystation of C. andersoni oocysts will fill the gap in our understanding of the excystation system of this parasitic pathogen. Methods: In this study, C. andersoni oocysts were collected and purified from the feces of naturally infected adult cows. Tandem mass tags (TMT) coupled with liquid chromatograph- tandem mass spectrometry (LC-MS/MS) proteomic analysis was used to investigate the proteomic expression profile of C. andersoni oocysts during excystation. Results: Our proteomic analysis identified a total of 1586 proteins, of which 17 were identified as differentially expressed proteins (DEPs), with 10 upregulated and 7 downregulated proteins. Each of those 17 proteins had multiple biological functions associated with control of gene expression at the level of transcription and biosynthetic and metabolic processes. Quantitative real-time PCR of eight selected genes validated the proteomic data.Conclusions: Our findings provide new information on the protein composition of C. andersoni oocysts as well as possible excystation factors. These data may help us to better understand the pathology of C. andersoni and thus may be useful in diagnosis, vaccine development, and immunotherapy for Cryptosporidium.

scholarly journals Comparative Integrated Omics Analysis of the Hfq Regulon in Bordetella pertussis

2019 ◽  
Vol 20 (12) ◽  
pp. 3073 ◽  
Author(s):  
Ana Dienstbier ◽  
Fabian Amman ◽  
Daniel Štipl ◽  
Denisa Petráčková ◽  
Branislav Večerek
Keyword(s):  
Gene Expression ◽  
Bordetella Pertussis ◽  
Transcriptional Control ◽  
Whooping Cough ◽  
Expression Profiles ◽  
Bacterial Pathogen ◽  
Gene Expression Profiles ◽  
Control Of Gene Expression ◽  
Proteomic Data

Bordetella pertussis is a Gram-negative strictly human pathogen of the respiratory tract and the etiological agent of whooping cough (pertussis). Previously, we have shown that RNA chaperone Hfq is required for virulence of B. pertussis. Furthermore, microarray analysis revealed that a large number of genes are affected by the lack of Hfq. This study represents the first attempt to characterize the Hfq regulon in bacterial pathogen using an integrative omics approach. Gene expression profiles were analyzed by RNA-seq and protein amounts in cell-associated and cell-free fractions were determined by LC-MS/MS technique. Comparative analysis of transcriptomic and proteomic data revealed solid correlation (r2 = 0.4) considering the role of Hfq in post-transcriptional control of gene expression. Importantly, our study confirms and further enlightens the role of Hfq in pathogenicity of B. pertussis as it shows that Δhfq strain displays strongly impaired secretion of substrates of Type III secretion system (T3SS) and substantially reduced resistance to serum killing. On the other hand, significantly increased production of proteins implicated in transport of important metabolites and essential nutrients observed in the mutant seems to compensate for the physiological defect introduced by the deletion of the hfq gene.

scholarly journals Transcriptomic and Proteomic Analysis of the Tentacles and Mucus of Anthopleura dowii Verrill, 1869

Marine Drugs ◽  
2019 ◽  
Vol 17 (8) ◽  
pp. 436 ◽  
Author(s):  
Santos Ramírez-Carreto ◽  
Rosario Vera-Estrella ◽  
Tobías Portillo-Bobadilla ◽  
Alexei Licea-Navarro ◽  
Johanna Bernaldez-Sarabia ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Proteomic Analysis ◽  
Sea Anemone ◽  
Global Perspective ◽  
Tandem Mass ◽  
Proteomic Profile ◽  
Na Channels ◽  
Sea Anemones ◽  
Phospholipases A2 ◽  
Proteomic Data

Sea anemone venom contains a complex and diverse arsenal of peptides and proteins of pharmacological and biotechnological interest, however, only venom from a few species has been explored from a global perspective to date. In the present study, we identified the polypeptides present in the venom of the sea anemone Anthopleura dowii Verrill, 1869 through a transcriptomic and proteomic analysis of the tentacles and the proteomic profile of the secreted mucus. In our transcriptomic results, we identified 261 polypeptides related to or predicted to be secreted in the venom, including proteases, neurotoxins that could act as either potassium (K+) or sodium (Na+) channels inhibitors, protease inhibitors, phospholipases A2, and other polypeptides. Our proteomic data allowed the identification of 156 polypeptides—48 exclusively identified in the mucus, 20 in the tentacles, and 88 in both protein samples. Only 23 polypeptides identified by tandem mass spectrometry (MS/MS) were related to the venom and 21 exclusively identified in the mucus, most corresponding to neurotoxins and hydrolases. Our data contribute to the knowledge of evolutionary and venomic analyses of cnidarians, particularly of sea anemones.

A proteomic analysis of serum from dogs before and after a controlled weight-loss program

2012 ◽  
Vol 43 (4) ◽  
pp. 271-277 ◽  
Author(s):  
A. Tvarijonaviciute ◽  
A.M. Gutiérrez ◽  
I. Miller ◽  
E. Razzazi-Fazeli ◽  
F. Tecles ◽  
...  
Keyword(s):  
Weight Loss ◽  
Proteomic Analysis ◽  
Weight Loss Program ◽  
Before And After

scholarly journals Evaluation of a Genome-ScaleIn SilicoMetabolic Model for Geobacter metallireducens by Using Proteomic Data from a Field Biostimulation Experiment

2012 ◽  
Vol 78 (24) ◽  
pp. 8735-8742 ◽  
Author(s):  
Yilin Fang ◽  
Michael J. Wilkins ◽  
Steven B. Yabusaki ◽  
Mary S. Lipton ◽  
Philip E. Long
Keyword(s):  
Proteomic Analysis ◽  
In Silico ◽  
Field Experiments ◽  
Metabolic Model ◽  
Geobacter Metallireducens ◽  
Content Type ◽  
Proteomic Data ◽  
Subsurface Environment ◽  
A Genome ◽  
Genome Scale

ABSTRACTAccurately predicting the interactions between microbial metabolism and the physical subsurface environment is necessary to enhance subsurface energy development, soil and groundwater cleanup, and carbon management. This study was an initial attempt to confirm the metabolic functional roles within anin silicomodel using environmental proteomic data collected during field experiments. Shotgun global proteomics data collected during a subsurface biostimulation experiment were used to validate a genome-scale metabolic model ofGeobacter metallireducens—specifically, the ability of the metabolic model to predict metal reduction, biomass yield, and growth rate under dynamic field conditions. The constraint-basedin silicomodelof G. metallireducensrelates an annotated genome sequence to the physiological functions with 697 reactions controlled by 747 enzyme-coding genes. Proteomic analysis showed that 180 of the 637G. metallireducensproteins detected during the 2008 experiment were associated with specific metabolic reactions in thein silicomodel. When the field-calibrated Fe(III) terminal electron acceptor process reaction in a reactive transport model for the field experiments was replaced with the genome-scale model, the model predicted that the largest metabolic fluxes through thein silicomodel reactions generally correspond to the highest abundances of proteins that catalyze those reactions. Central metabolism predicted by the model agrees well with protein abundance profiles inferred from proteomic analysis. Model discrepancies with the proteomic data, such as the relatively low abundances of proteins associated with amino acid transport and metabolism, revealed pathways or flux constraints in thein silicomodel that could be updated to more accurately predict metabolic processes that occur in the subsurface environment.

scholarly journals Proteomic analysis-based discovery of a novel biomarker that differentiates intestinal Behçet’s disease from Crohn’s disease

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jihye Park ◽  
Daeun Jeong ◽  
Youn Wook Chung ◽  
Seunghan Han ◽  
Da Hye Kim ◽  
...  
Keyword(s):  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Proteomic Analysis ◽  
Behcet’S Disease ◽  
Differentially Expressed ◽  
Tandem Mass ◽  
Intestinal Behçet’S Disease ◽  
Tissue Samples ◽  
Intestinal Behcet’S Disease ◽  
Intestinal Behçet's Disease

AbstractIntestinal Behçet’s disease (BD) and Crohn’s disease (CD) present similar manifestations, but there are no specific diagnostic tests to differentiate them. We used a proteomic approach to discover novel diagnostic biomarkers specific to intestinal BD. Colon mucosa tissue samples were obtained from patients with intestinal BD or CD using colonoscopy-guided biopsy of the affected bowel. Peptides from seven intestinal BD and seven CD patients were extracted and labeled using tandem mass tag (TMT) reagents. The labeled peptides were identified and quantified using liquid chromatography-tandem mass spectrometry (LC–MS/MS). The proteins were further validated using immunohistochemical (IHC) analysis with tissue samples and an ELISA test with serum samples from 20 intestinal BD and 20 CD patients. Using TMT/LC–MS/MS-based proteomic quantification, we identified 39 proteins differentially expressed between intestinal BD and CD. Beta-2 glycoprotein 1 (APOH) and maltase-glucoamylase (MGAM) showed higher intensity in the IHC staining of intestinal BD tissues than in CD tissues. The serum MGAM level was higher in intestinal BD patients. Proteomic analysis revealed that some proteins were differentially expressed in patients with intestinal BD compared with those with CD. Differential MGAM expression in intestinal BD suggests its role as a potential novel diagnostic biomarker.

scholarly journals Cell-surface remodelling during mammalian erythropoiesis

1982 ◽  
Vol 208 (1) ◽  
pp. 239-242 ◽  
Author(s):  
D C Wraith ◽  
C J Chesterton
Keyword(s):  
Surface Modification ◽  
Membrane Proteins ◽  
Cell Surface ◽  
Protein Composition ◽  
Surface Protein ◽  
Current Evidence ◽  
Cell Surface Protein ◽  
Erythroid Cells ◽  
Selective Loss ◽  
Before And After

Current evidence suggests that the major cell-surface modification occurring during mammalian erythropoiesis could be generated by two separate mechanisms: either selective loss of membrane proteins during enucleation or endocytosis at the subsequent reticulocyte and erythrocyte stages. The former idea was tested by collecting developing rabbit erythroid cells before and after the enucleation step and comparing their cell-surface protein composition via radiolabelling and electrophoresis. Few changes were observed. Our data thus lend support to the endocytosis mechanism.

Assessment of cancer prevention effect of exercise

2021 ◽  
pp. 1-6
Author(s):  
Reza Vafaee ◽  
Mostafa Rezaei Tavirani ◽  
Sina Rezaei Tavirani ◽  
Mohammadreza Razzaghi
Keyword(s):  
Gene Expression ◽  
Cancer Prevention ◽  
Human Health ◽  
Expression Profiles ◽  
Vastus Lateralis ◽  
Gene Expression Profiles ◽  
Gene Expression Omnibus ◽  
Vastus Lateralis Muscle ◽  
Before And After ◽  
Exercise Training Intervention

There are many documents about benefits of exercise on human health. However, evidences indicate to positive effect of exercise on disease prevention, understanding of many aspects of this mechanism need more investigations. Determination of critical genes which effect human health. GSE156249 including 12 gene expression profiles of healthy individual biopsy from vastus lateralis muscle before and after 12-week combined exercise training intervention were extracted from gene expression omnibus (GEO) database. The significant DEGs were included in interactome unit by Cytoscape software and STRING database. The network was analyzed to find the central nodes subnetwork clusters. The nodes of prominent cluster were assessed via gene ontology by using ClueGO. Number of 8 significant DEGs and 100 first neighbors analyzed via network analysis. The network includes 2 clusters and COL3A1, BGN, and LOX were determined as central DEGs. The critical DEGs were involved in cancer prevention process.

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