Proteomic serum analysis of differentially expressed proteins in early stage melanoma patients using SELDI-TOF mass spectrometry

2004 ◽  
Vol 11 (S2) ◽  
pp. S53-S53
Author(s):  
L. Wilson ◽  
D. L. Morton ◽  
D. Hoon
Keyword(s):  
Mass Spectrometry ◽  
Early Stage ◽  
Serum Analysis ◽  
Differentially Expressed ◽  
Differentially Expressed Proteins ◽  
Melanoma Patients

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.

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

scholarly journals iTRAQ and PRM-based quantitative proteomics in early recurrent spontaneous abortion: biomarkers discovery

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Ying Cui ◽  
Ling He ◽  
Chun-Yan Yang ◽  
Qian Ye
Keyword(s):  
Spontaneous Abortion ◽  
Early Stage ◽  
Pregnancy Termination ◽  
Diagnostic Value ◽  
Differentially Expressed ◽  
Recurrent Spontaneous Abortion ◽  
Control Group ◽  
Case Group ◽  
Differentially Expressed Proteins ◽  
History Of

Abstract Background Early recurrent spontaneous abortion (ERSA) is a common condition in pregnant women. To prevent ERSA is necessary to look for abortion indicators, such as hormones and proteins, in an early stage. Methods Thirty patients with ERSA were enrolled in the case group. In the control group, we recruited 30 healthy women without a history of miscarriage undergoing voluntary pregnancy termination. The differentially expressed proteins in the serum were identified between the two groups using PRM and iTRAQ. Results Seventy-eight differentially expressed proteins were identified. Using GO functional annotation and KEGG pathway analysis, we detected that the most significant changes occurred in the pathway of Fc gamma R-mediated phagocytosis. Meanwhile, using PRM, we identified three proteins that were closely related to abortion, B4DTF1 (highly similar to PSG1), P11464 (PSG1), and B4DF70 (highly similar to Prdx-2). The levels of B4DTF1 and P11464 were down-regulated, while the level of B4DF70 was up-regulated. Conclusions CD45, PSG1, and Prdx-2, were significantly dysregulated in the samples of ERSA and could become important biomarkers for the prediction and diagnosis of ERSA. Larger‑scale studies are required to confirm the diagnostic value of these biomarkers.

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.

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