iTRAQ-based quantitative proteomic analysis of two transgenic soybean lines and the corresponding non-genetically modified isogenic variety

2019 ◽  
Vol 167 (1) ◽  
pp. 67-78
Author(s):  
Weixiao Liu ◽  
Zhe Zhang ◽  
Xuri Liu ◽  
Wujun Jin
Keyword(s):  
Proteomic Analysis ◽  
Interaction Analysis ◽  
Genetically Modified ◽  
Unintended Effects ◽  
Post Translational Modification ◽  
Absolute Quantitation ◽  
Protein Protein Interaction ◽  
Transduction Mechanisms ◽  
Isobaric Tags ◽  
Gm Soybean

Abstract To investigate the unintended effects of genetically modified (GM) crops, an isobaric tags for relative and absolute quantitation (iTRAQ)-based comparative proteomic analysis was performed with seed cotyledons of two GM soybean lines, MON87705 and MON87701×MON89788, and the corresponding non-transgenic isogenic variety A3525. Thirty-five differentially abundant proteins (DAPs) were identified in MON87705/A3525, 27 of which were upregulated and 8 downregulated. Thirty-eight DAPs were identified from the MON87701×MON89788/A3525 sample, including 29 upregulated proteins and 9 downregulated proteins. Pathway analysis showed that most of these DAPs participate in protein processing in endoplasmic reticulum and in metabolic pathways. Protein–protein interaction analysis of these DAPs demonstrated that the main interacting proteins are associated with post-translational modification, protein turnover, chaperones and signal transduction mechanisms. Nevertheless, these DAPs were not identified as new unintended toxins or allergens and only showed changes in abundance. All these results suggest that the seed cotyledon proteomic profiles of the two GM soybean lines studied were not dramatically altered compared with that of their natural isogenic control.

scholarly journals Targeting AKT/mTOR and Bcl-2 for Autophagic and Apoptosis Cell Death in Lung Cancer: Novel Activity of a Polyphenol Compound

Antioxidants ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 534
Author(s):  
Sucharat Tungsukruthai ◽  
Onrapak Reamtong ◽  
Sittiruk Roytrakul ◽  
Suchada Sukrong ◽  
Chanida Vinayanwattikun ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Death ◽  
Cancer Cells ◽  
Proteomic Analysis ◽  
Interaction Analysis ◽  
Time Dependent ◽  
The Novel ◽  
Protein Protein Interaction ◽  
Autophagy Induction ◽  
Acidic Vesicle

Autophagic cell death (ACD) is an alternative death mechanism in resistant malignant cancer cells. In this study, we demonstrated how polyphenol stilbene compound PE5 exhibits potent ACD-promoting activity in lung cancer cells that may offer an opportunity for novel cancer treatment. Cell death caused by PE5 was found to be concomitant with dramatic autophagy induction, as indicated by acidic vesicle staining, autophagosome, and the LC3 conversion. We further confirmed that the main death induction caused by PE5 was via ACD, since the co-treatment with an autophagy inhibitor could reverse PE5-mediated cell death. Furthermore, the defined mechanism of action and upstream regulatory signals were identified using proteomic analysis. Time-dependent proteomic analysis showed that PE5 affected 2142 and 1996 proteins after 12 and 24 h of treatment, respectively. The crosstalk network comprising 128 proteins that control apoptosis and 25 proteins involved in autophagy was identified. Protein–protein interaction analysis further indicated that the induction of ACD was via AKT/mTOR and Bcl-2 suppression. Western blot analysis confirmed that the active forms of AKT, mTOR, and Bcl-2 were decreased in PE5-treated cells. Taken together, we demonstrated the novel mechanism of PE5 in shifting autophagy toward cell death induction by targeting AKT/mTOR and Bcl-2 suppression.

scholarly journals Proteomic Analysis of Beef Tenderloin and Flank Assessed Using an Isobaric Tag for Relative and Absolute Quantitation (iTRAQ)

Animals ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 150
Author(s):  
Zhaomin Lei ◽  
Jianping Wu ◽  
Deyin Zhang ◽  
Ting Liu ◽  
Shengguo Zhao ◽  
...  
Keyword(s):  
Proteomic Analysis ◽  
Expression Patterns ◽  
Tca Cycle ◽  
Absolute Quantification ◽  
Absolute Quantitation ◽  
Oxidation Reduction ◽  
The Tca Cycle ◽  
Isobaric Tag ◽  
Isobaric Tags

Herein, we performed a proteomic analysis of tenderloin and flank steaks from Simmental cattle using the isobaric tags for a relative and absolute quantification (iTRAQ) approach. We identified 17 amino acids in both steaks, and Gly, Cys, Ile, Lys, and Pro differed most in abundance between the steak types (p < 0.05). A comparison of the expression patterns in steaks revealed 128 differentially expressed proteins (DEPs), of which 44 were up-regulated and 84 were down-regulated. Furthermore, 27 DEPs (p < 0.05) were subjected to gene ontology (GO) analysis, and many were found to be related to oxidation-reduction, metabolism, hydrogen ion transmembrane transport, transport, the tricarboxylic acid (TCA) cycle, mitochondrial electron transport, and the conversion of nicotinamide adenine dinucleotide (NADH) to ubiquinone. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis also implicated these DEPs in various signalling pathways, including oxidative phosphorylation, cardiac muscle contraction, the TCA cycle, biosynthesis, and the metabolism. These findings provide a new insight into key proteins involved in the determination of amino acid composition in beef.

scholarly journals Isobaric Tags for Relative and Absolute Quantitation-Based Quantitative Serum Proteomics Analysis in Ischemic Stroke Patients With Hemorrhagic Transformation

2021 ◽  
Vol 15 ◽  
Author(s):  
Zhifeng Qi ◽  
Shuhua Yuan ◽  
Xixi Zhou ◽  
Xunming Ji ◽  
Ke Jian Liu
Keyword(s):  
Ischemic Stroke ◽  
Interaction Analysis ◽  
Hemorrhagic Transformation ◽  
Differentially Expressed ◽  
Differentially Expressed Proteins ◽  
Stroke Patients ◽  
Absolute Quantitation ◽  
Metabolic Pathway Analysis ◽  
Serum Proteomics ◽  
Isobaric Tags

Hemorrhagic transformation (HT), which occurs with or without reperfusion treatments (thrombolysis and/or thrombectomy), deteriorates the outcomes of ischemic stroke patients. It is essential to find clinically reliable biomarkers that can predict HT. In this study, we screened for potential serum biomarkers from an existing blood bank and database with 243 suspected acute ischemic stroke (AIS) patients. A total of 37 patients were enrolled, who were diagnosed as AIS without receiving reperfusion treatment. They were divided into two groups based on whether they were accompanied with HT or not (five HT and 32 non-HT). Serum samples were labeled by isobaric tags for relative and absolute quantitation (iTRAQ) and analyzed by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) and compared under NCBInr database. A total of 647 proteins in sera samples were captured, and the levels of 17 proteins (12 upregulated and five downregulated) were significantly different. These differentially expressed proteins were further categorized with Gene Ontology functional classification annotation and Kyoto Encyclopedia of Genes and Genomes metabolic pathway analysis into biological processes. Further protein–protein interaction analysis using String database discovered that, among the differentially expressed proteins, 10 pairs of proteins were found to have crosstalk connections, which may have direct (physical) and indirect (functional) interactions for the development of HT. Our findings suggest that these differentially expressed proteins could serve as potential biomarkers for predicting HT after ischemic stroke.

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