Dataset Information

PCT-assisted mass spectrometric quantification of gingival tissue reveals dynamics of protein synthesis during initiation and progression of inflammatory disease

ABSTRACT: Understanding the progression of periodontal destruction is at the forefront of periodontal research. Therefore, we aimed to capture the dynamics of gingival tissue proteome during initiation and progression of an experimental periodontitis developed by placing silk ligatures on the second molars of the specific pathogen-free C57BL/6 mice. Pressure cycling technology (PCT), a recently developed platform that uses ultra-high pressure to disrupt tissues, was utilized to achieve an efficient and reproducible protein extraction for quantitative shotgun proteomics. Lysis and protein digestion of gingival tissue was performed using PCT and analysed by Orbitrap Fusion. The proteomics data were quantitatively assessed with the Progenesis QI software.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Gingiva

SUBMITTER: Kai Bao

LAB HEAD: Professor Nagihan Bostanci

PROVIDER: PXD014608 | Pride | 2020-01-09

REPOSITORIES: Pride

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Publications

Pressure Cycling Technology Assisted Mass Spectrometric Quantification of Gingival Tissue Reveals Proteome Dynamics during the Initiation and Progression of Inflammatory Periodontal Disease.

Bao Kai K Li Xiaofei X Kajikawa Tetsuhiro T Toshiharu Abe A Selevsek Nathalie N Grossmann Jonas J Hajishengallis George G Bostanci Nagihan N

Proteomics 20200115 3-4

Understanding the progression of periodontal tissue destruction is at the forefront of periodontal research. The authors aimed to capture the dynamics of gingival tissue proteome during the initiation and progression of experimental (ligature-induced) periodontitis in mice. Pressure cycling technology (PCT), a recently developed platform that uses ultra-high pressure to disrupt tissues, is utilized to achieve efficient and reproducible protein extraction from ultra-small amounts of gingival tiss ...[more]

PMID: 31881116

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Project description:The pollution of the environment with microplastics has been recognized as an emerging threat worldwide. Due to an exponential increase in production of plastic over the last eight decades and its longevity in the environment, accumulating amounts of microplastic are polluting rivers, lakes and the ocean. Their entry pathways are diverse and still only incompletely understood. Since microplastics are usually defined smaller than 5 mm, it can be ingested by a wide range of aquatic organisms including teleost fish. There are different approaches to study the detrimental effects of pollutants on aquatic organisms. On the one hand, generic baseline parameters such as growth and mortality are regularly considered, often accompanied by established stress parameters such as cortisol, heat shock proteins or lipid oxidation. The conflicting findings to date suggest that these parameters might not be sensitive enough to indicate the physiological effects of environmentally relevant microplastic concentrations. For this reason, more sophisticated biological approaches could provide new insights into whether and how microplastics harm fish. To date, proteomic approaches have been used only sporadically when investigating the effects of microplastic exposure on aquatic organisms. So far, this approach has not been used to address potential microplastic impacts in fish. In the present study, a proteomic approach was trialed alongside established methods in an investigation of fish experiencing long-term exposure to environmentally relevant concentrations of microplastics. Two groups of rainbow trout (Oncorhynchus mykiss were exposed to microplastic concentrations and sizes currently encountered in wild fish and an increased concentration, expected to occur in the near future. These groups where compared to a control group maintained in MP free conditions. Five fish of each treatment were sampled at three time points (week 1, week 4, week 17). The experiments were performed in triplicates, resulting in 45 samples used in the proteomic analysis.

Dataset Information

PCT-assisted mass spectrometric quantification of gingival tissue reveals dynamics of protein synthesis during initiation and progression of inflammatory disease

Publications

Pressure Cycling Technology Assisted Mass Spectrometric Quantification of Gingival Tissue Reveals Proteome Dynamics during the Initiation and Progression of Inflammatory Periodontal Disease.

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