Identification of Differentially Expressed Proteins in Triple-Negative Breast Carcinomas Using DIGE and Mass Spectrometry

2009 ◽  
Vol 8 (7) ◽  
pp. 3430-3438 ◽  
Author(s):  
Daniela M. Schulz ◽  
Claudia Böllner ◽  
Gerry Thomas ◽  
Mike Atkinson ◽  
Irene Esposito ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Triple Negative ◽  
Differentially Expressed ◽  
Differentially Expressed Proteins ◽  
Breast Carcinomas

Identification of differentially expressed proteins in retinoblastoma tumors using mass spectrometry-based comparative proteomic approach

2017 ◽  
Vol 159 ◽  
pp. 77-91 ◽  
Author(s):  
Jasmine Naru ◽  
Ritu Aggarwal ◽  
Ashok Kumar Mohanty ◽  
Usha Singh ◽  
Deepak Bansal ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Differentially Expressed ◽  
Differentially Expressed Proteins ◽  
Proteomic Approach

scholarly journals Bayesian identification of protein differential expression in multi-group isobaric labelled mass spectrometry data

2014 ◽  
Vol 13 (5) ◽  
Author(s):  
Howsun Jow ◽  
Richard J. Boys ◽  
Darren J. Wilkinson
Keyword(s):  
Mass Spectrometry ◽  
Simulated Data ◽  
Differentially Expressed ◽  
Mass Spectrometry Data ◽  
Control Group ◽  
Differentially Expressed Proteins ◽  
Statistical Methodology ◽  
Proteomic Data ◽  
Bayesian Identification ◽  
Multiple Groups

AbstractIn this paper we develop a Bayesian statistical inference approach to the unified analysis of isobaric labelled MS/MS proteomic data across multiple experiments. An explicit probabilistic model of the log-intensity of the isobaric labels’ reporter ions across multiple pre-defined groups and experiments is developed. This is then used to develop a full Bayesian statistical methodology for the identification of differentially expressed proteins, with respect to a control group, across multiple groups and experiments. This methodology is implemented and then evaluated on simulated data and on two model experimental datasets (for which the differentially expressed proteins are known) that use a TMT labelling protocol.

scholarly journals Differential Proteomics Based on TMT and PRM Reveal the Resistance Response of Bambusa pervariabilis × Dendrocalamopisis grandis Induced by AP-Toxin

Metabolites ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 166 ◽  
Author(s):  
Qianqian He ◽  
Xinmei Fang ◽  
Tianhui Zhu ◽  
Shan Han ◽  
Hanmingyue Zhu ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Metabolic Pathways ◽  
Differentially Expressed ◽  
Tandem Mass ◽  
Differentially Expressed Proteins ◽  
Liquid Chromatography Mass Spectrometry ◽  
Chromatography Mass Spectrometry ◽  
Tandem Mass Tag ◽  
Mass Tag

Bambusa pervariabilis McClure × Dendrocalamopsis grandis (Q.H.Dai & X.l.Tao ex Keng f.) Ohrnb. blight is a widespread and dangerous forest fungus disease, and has been listed as a supplementary object of forest phytosanitary measures. In order to study the control of B. pervariabilis × D. grandis blight, this experiment was carried out. In this work, a toxin purified from the pathogen Arthrinium phaeospermum (Corda) Elli, which causes blight in B. pervariabilis × D. grandis, with homologous heterogeneity, was used as an inducer to increase resistance to B. pervariabilis × D. grandis. A functional analysis of the differentially expressed proteins after induction using a tandem mass tag labeling technique was combined with mass spectrometry and liquid chromatography mass spectrometry in order to effectively screen for the proteins related to the resistance of B. pervariabilis × D. grandis to blight. After peptide labeling, a total of 3320 unique peptides and 1791 quantitative proteins were obtained by liquid chromatography mass spectrometry analysis. Annotation and enrichment analysis of these peptides and proteins using the Gene ontology and Kyoto Encyclopedia of Genes and Genomes databases with bioinformatics software show that the differentially expressed protein functional annotation items are mainly concentrated on biological processes and cell components. Several pathways that are prominent in the Kyoto Encyclopedia of Genes and Genomes annotation and enrichment include metabolic pathways, the citrate cycle, and phenylpropanoid biosynthesis. In the Protein-protein interaction networks four differentially expressed proteins-sucrose synthase, adenosine triphosphate-citrate synthase beta chain protein 1, peroxidase, and phenylalanine ammonia-lyase significantly interact with multiple proteins and significantly enrich metabolic pathways. To verify the results of tandem mass tag, the candidate proteins were further verified by parallel reaction monitoring, and the results were consistent with the tandem mass tag data analysis results. It is confirmed that the data obtained by tandem mass tag technology are reliable. Therefore, the differentially expressed proteins and signaling pathways discovered here is the primary concern for subsequent disease resistance studies.

scholarly journals The proteomics analysis of the effects of Zhishi Rhubarb soup on ischaemic stroke

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Jing-Hua Zhang ◽  
Yue-Jia Shao ◽  
Zhen Hui ◽  
Su-Lei Wang ◽  
Chi Huang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Tissue Injury ◽  
Health Care Systems ◽  
Differentially Expressed ◽  
Differentially Expressed Proteins ◽  
National Health Care ◽  
Care Systems ◽  
Heavy Burden ◽  
The Difference

Abstract Background Stroke has always been a major threat worldwide but is most severe in China, with 2.5 million new stroke cases each year and 7.5 million stroke survivors, placing a heavy burden on the social and national health care systems. Zhishi Rhubarb Soup (ZRS) is a traditional Chinese medicine (TCM) that has been used clinically for many years in China. To explore the potential mechanism of ZRS in the treatment of stroke, liquid chromatography with mass spectrometry (LC–MS) was performed. Methods In this study, a quantitative proteomic method with LC–MS was used to analyse the proteomic differences between MACO samples treated with ZRS and those without ZRS treatment. Results Liquid chromatography with mass spectrometry (LC–MS) analysis led to the identification of 35,006 peptides, with 5160.0 proteins identified and 4094.0 quantified. Significantly differentially expressed proteins were identified through data analysis, and the difference was found to be more than 1.2 times (P < 0.05). The Gene Ontology (GO) analysis provided a summary of the dysregulated protein expression in the biological process (BP), cell component (CC), and molecular function (MF) categories. Proteins related to brain repair, including BDNF, IL-10, IL-6, and TGF-β, were found to change significantly, partially demonstrating the effectiveness of ZRS to attenuate tissue injury. Conclusion In this study, LC–MS/MS was performed to assess the effects of ZRS on differentially expressed proteins in rats with cerebral infarction. These promising results could help to improve the understanding of the effects of drugs on stroke.

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