scholarly journals Label-free proteomic analysis of serum exosomes from paroxysmal atrial fibrillation patients

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Hanwen Ni ◽  
Wenqi Pan ◽  
Qi Jin ◽  
Yucai Xie ◽  
Ning Zhang ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Protein Folding ◽  
Protein Content ◽  
Complement System ◽  
Proteomic Analysis ◽  
Surface Composition ◽  
Label Free ◽  
Healthy Donors ◽  
Variable Surface ◽  
Serum Exosomes

Abstract Background Atrial fibrillation (AF) is the most common cardiac heterogeneous rhythm disorder. It represents a major cause of mortality and morbidity, mainly related to embolic events and heart failure. Mechanisms of AF are complex and remain incompletely understood. Recent evidence suggests exosomes are membrane-coated objects released by many cell-types. Their presence in body fluids and the variable surface composition and content render them attractive as a mechanism for potential biomarkers. However, the content of serum exosomes of AF patients has not been fully delineated. Methods In this work, the serum exosomes from AF patients and healthy donors were used to compare changes in the exosome protein content. Exosomes were isolated from serum of AF patients and healthy donors and their purity was confirmed by Western blotting assays and transmission electron microscopy (TEM). Label-free LC–MS/MS quantitative proteomic analysis was applied to analyze protein content of serum exosomes. Results A total of 440 exosomal protein groups were identified, differentially expressed proteins were filtrated with fold change ≥ 2.0 (AF/controls protein abundance ratio ≥ 2 or ≤ 0.5) and p value less than 0.05 (p < 0.05), significantly changed in abundance group contains 39 elevated proteins and 18 reduced proteins, while consistent presence/absence expression profile group contains 40 elevated proteins and 75 reduced proteins. Bioinformatic analysis of differential exosomal proteins confirmed the significant enrichment of components involved in the anticoagulation, complement system and protein folding. Parallel-Reaction Monitoring Relative Quantitative Analysis (PRM) further suggested that AF related to complement system and protein folding. Conclusions These results revealed the composition and potential function of AF serum exosomes, thus providing a new perspective on the complement system and protein folding to AF.

Abstract 16130: Plasma Proteomic Analysis of Association Between Atrial Fibrillation, Coronary Microvascular Disease and Heart Failure

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Cevher Ozcan ◽  
GUNJAN DIXIT ◽  
John Blair
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Proteomic Analysis ◽  
Microvascular Disease ◽  
Microvascular Dysfunction ◽  
Coronary Microvascular Dysfunction ◽  
Matrix Remodeling ◽  
Label Free ◽  
Inflammatory Processes ◽  
Novel Biomarkers

Introduction: Atrial fibrillation (AF) commonly occurs in patients with heart failure with preserved ejection fraction (HFpEF). Recent studies showed a high prevalence of coronary microvascular dysfunction (CMD) in patients with HFpEF and a likely association with AF. Yet, the biomarkers and mechanisms of their association have not been characterized. Hypothesis: Plasma proteomic analysis can identify novel biomarkers of the association between AF, CMD and HFpEF, and mechanistic pathways of their association. Methods: We studied the plasma samples from the patients with AF, CMD and/or HFpEF. Liquid chromatography-mass spectrometry based untargeted and label-free quantification proteomic analysis was performed. Circulating plasma proteins were screened to determine candidate biomarkers and the mutual mechanistic pathways in these disease processes. Results: We identified 130 dysregulated proteins across the groups with the independent patient replicates. Discovery-based untargeted plasma proteomic analysis identified 35 proteins in association with AF, CMD and HFpEF candidate biomarkers of their association (Fig). SAA1, LRG1 and APOC3 were significantly elevated in the coexistence of AF, CMD and HFpEF. LCP1, PON1 and C1S were markedly downregulated in their associations. Combined downregulation of PON1 and C1S was a marker of the HFpEF and CMD. Low PON1 was associated with HFpEF. Low C1S was a marker of CMD. Reduced levels of LCP1, KLKB1 and C4A were associated with AF in patients with CMD and HFpEF. These dysregulated proteins are associated with inflammatory processes, coagulation pathways, oxidative stress, metabolism, complement system and extracellular matrix remodeling. Conclusions: Plasma proteomic profile provides biomarkers and mechanistic insight into the association of AF, CMD and HFpEF. Circulation dysregulated proteins can be clinically useful for risk stratification.

scholarly journals Label-free quantitative proteomic analysis of the inhibition effect of Lactobacillus rhamnosus GG on Escherichia coli biofilm formation in co-culture

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Huiyi Song ◽  
Ni Lou ◽  
Jianjun Liu ◽  
Hong Xiang ◽  
Dong Shang
Keyword(s):  
Escherichia Coli ◽  
Proteomic Analysis ◽  
Biofilm Formation ◽  
Lactobacillus Rhamnosus ◽  
Differentially Expressed ◽  
Differentially Expressed Proteins ◽  
Label Free ◽  
Quantitative Proteomic Analysis ◽  
E Coli ◽  
Protein Ubiquitination

Abstract Background Escherichia coli (E. coli) is the principal pathogen that causes biofilm formation. Biofilms are associated with infectious diseases and antibiotic resistance. This study employed proteomic analysis to identify differentially expressed proteins after coculture of E. coli with Lactobacillus rhamnosus GG (LGG) microcapsules. Methods To explore the relevant protein abundance changes after E. coli and LGG coculture, label-free quantitative proteomic analysis and qRT-PCR were applied to E. coli and LGG microcapsule groups before and after coculture, respectively. Results The proteomic analysis characterised a total of 1655 proteins in E. coli K12MG1655 and 1431 proteins in the LGG. After coculture treatment, there were 262 differentially expressed proteins in E. coli and 291 in LGG. Gene ontology analysis showed that the differentially expressed proteins were mainly related to cellular metabolism, the stress response, transcription and the cell membrane. A protein interaction network and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis indicated that the differentiated proteins were mainly involved in the protein ubiquitination pathway and mitochondrial dysfunction. Conclusions These findings indicated that LGG microcapsules may inhibit E. coli biofilm formation by disrupting metabolic processes, particularly in relation to energy metabolism and stimulus responses, both of which are critical for the growth of LGG. Together, these findings increase our understanding of the interactions between bacteria under coculture conditions.

Label-free proteomic analysis revealed the mechanisms of protein oxidation induced by hydroxyl radicals in whiteleg shrimp (Litopenaeus vannamei) muscle

2021 ◽  
Author(s):  
Hui-min Lin ◽  
Xue-er Qi ◽  
Shan-shan Shui ◽  
Soottawat Benjakul ◽  
Santiago P. Aubourg ◽  
...  
Keyword(s):  
Ascorbic Acid ◽  
Hydroxyl Radicals ◽  
Litopenaeus Vannamei ◽  
Protein Oxidation ◽  
Proteomic Analysis ◽  
Muscle Proteins ◽  
Label Free ◽  
Whiteleg Shrimp ◽  
The Stability ◽  
Oxidative Effects

The oxidative effects of hydroxyl radicals derived from a FeCl3/ascorbic acid/H2O2 system on the stability of muscle proteins in peeled shrimp (Litopenaeus vannamei) were investigated.

scholarly journals Chromatin-Associated Proteins Revealed by SILAC-Proteomic Analysis Exhibit a High Likelihood of Requirement for Growth Fitness under DNA Damage Stress

2012 ◽  
Vol 2012 ◽  
pp. 1-12
Author(s):  
Han Wang ◽  
Pornpimol Tipthara ◽  
Lei Zhu ◽  
Suk Yean Poon ◽  
Kai Tang ◽  
...  
Keyword(s):  
Dna Damage ◽  
Proteomic Analysis ◽  
Ribosomal Proteins ◽  
Cell Extract ◽  
Label Free ◽  
High Likelihood ◽  
Nonhistone Proteins ◽  
Quantitative Proteomic Analysis ◽  
Proteomic Approach ◽  
Associated Functions

Chromatin-associated nonhistone proteins (CHRAPs) are readily collected from the DNaseI digested crude chromatin preparation. In this study, we show that the absolute abundance-based label-free quantitative proteomic analysis fail to identify potential CHRAPs from the CHRAP-prep. This is because that the most-highly abundant cytoplasmic proteins such as ribosomal proteins are not effectively depleted in the CHRAP-prep. Ribosomal proteins remain the top-ranked abundant proteins in the CHRAP-prep. On the other hand, we show that relative abundance-based SILAC-mediated quantitative proteomic analysis is capable of discovering the potential CHRAPs in the CHRAP-prep when compared to the whole-cell-extract. Ribosomal proteins are depleted from the top SILAC ratio-ranked proteins. In contrast, nucleus-localized proteins or potential CHRAPs are enriched in the top SILAC-ranked proteins. Consistent with this, gene-ontology analysis indicates that CHRAP-associated functions such as transcription, regulation of chromatin structures, and DNA replication and repair are significantly overrepresented in the top SILAC-ranked proteins. Some of the novel CHRAPs are confirmed using the traditional method. Notably, phenotypic assessment reveals that the top SILAC-ranked proteins exhibit the high likelihood of requirement for growth fitness under DNA damage stress. Taken together, our results indicate that the SILAC-mediated proteomic approach is capable of determining CHRAPs without prior knowledge.

scholarly journals Highly Reproducible Label Free Quantitative Proteomic Analysis of RNA Polymerase Complexes

2010 ◽  
Vol 10 (2) ◽  
pp. M110.000687 ◽  
Author(s):  
Amber L. Mosley ◽  
Mihaela E. Sardiu ◽  
Samantha G. Pattenden ◽  
Jerry L. Workman ◽  
Laurence Florens ◽  
...  
Keyword(s):  
Rna Polymerase ◽  
Proteomic Analysis ◽  
Label Free ◽  
Quantitative Proteomic Analysis

Label-free Quantitative Proteomic Analysis of Drought-Responsive Proteins in Panax ginseng Meyer

2021 ◽  
Vol 29 (6) ◽  
pp. 369-379
Author(s):  
Ju Young Jung ◽  
Cheol Woo Min ◽  
Hye Won Shin ◽  
Truong Van Nguyen ◽  
Ji hyun Kim ◽  
...  
Keyword(s):  
Panax Ginseng ◽  
Proteomic Analysis ◽  
Label Free ◽  
Quantitative Proteomic Analysis

scholarly journals A Comparative Quantitative LC-MS/MS Profiling Analysis of Human Pancreatic Adenocarcinoma, Adjacent-Normal Tissue, and Patient-Derived Tumour Xenografts

Proteomes ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 45 ◽  
Author(s):  
Orla Coleman ◽  
Michael Henry ◽  
Fiona O'Neill ◽  
Sandra Roche ◽  
Niall Swan ◽  
...  
Keyword(s):  
Proteomic Analysis ◽  
Normal Tissue ◽  
Rapid Development ◽  
Ductal Adenocarcinoma ◽  
Adjacent Normal Tissue ◽  
Label Free ◽  
Normal Pancreas ◽  
Human Tumour Cells ◽  
Associated Proteins ◽  
Pdx Models

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers worldwide; it develops in a relatively symptom-free manner, leading to rapid disease progression and metastasis, leading to a 5-year survival rate of less than 5%. A lack of dependable diagnostic markers and rapid development of resistance to conventional therapies are among the problems associated with management of the disease. A better understanding of pancreatic tumour biology and discovery of new potential therapeutic targets are important goals in pancreatic cancer research. This study describes the comparative quantitative LC-MS/MS proteomic analysis of the membrane-enriched proteome of 10 human pancreatic ductal adenocarcinomas, 9 matched adjacent-normal pancreas and patient-derived xenografts (PDXs) in mice (10 at F1 generation and 10 F2). Quantitative label-free LC-MS/MS data analysis identified 129 proteins upregulated, and 109 downregulated, in PDAC, compared to adjacent-normal tissue. In this study, analysing peptide MS/MS data from the xenografts, great care was taken to distinguish species-specific peptides definitively derived from human sequences, or from mice, which could not be distinguished. The human-only peptides from the PDXs are of particular value, since only human tumour cells survive, and stromal cells are replaced during engraftment in the mouse; this list is, therefore, enriched in tumour-associated proteins, some of which might be potential therapeutic or diagnostic targets. Using human-specific sequences, 32 proteins were found to be upregulated, and 113 downregulated in PDX F1 tumours, compared to primary PDAC. Differential expression of CD55 between PDAC and normal pancreas, and expression across PDX generations, was confirmed by Western blotting. These data indicate the value of using PDX models in PDAC research. This study is the first comparative proteomic analysis of PDAC which employs PDX models to identify patient tumour cell-associated proteins, in an effort to find robust targets for therapeutic treatment of PDAC.

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