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Mass spectrometry based data of the blister fluid proteome of paediatric burn patients.

ABSTRACT: The data presented here are associated with the article "The blister fluid proteome of paediatric burns" (Zang et al., 2016) [1]. Burn injury is a highly traumatic event for children. The degree of burn severity (superficial-, deep-, or full-thickness injury) often dictates the extent of later scar formation which may require long term surgical operation or skin grafting. The data were obtained by fractionating paediatric burn blister fluid samples, which were pooled according to burn depth and then analysed using data dependent acquisition LC-MS/MS. The data includes a table of all proteins identified, in which burn depth category they were found, the percentage sequence coverage for each protein and the number of high confidence peptide identifications for each protein. Further Gene Ontology enrichment analysis shows the significantly over-represented biological processes, molecular functions, and cellular components of the burn blister fluid proteome. In addition, tables include the proteins associated with the biological processes of "wound healing" and "response to stress" as examples of highly relevant processes that occur in burn wounds.

SUBMITTER: Zang T

PROVIDER: S-EPMC4976667 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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Mass spectrometry based data of the blister fluid proteome of paediatric burn patients.

Zang Tuo T Broszczak Daniel A DA Cuttle Leila L Broadbent James A JA Tanzer Catherine C Parker Tony J TJ

Data in brief 20160726

The data presented here are associated with the article "The blister fluid proteome of paediatric burns" (Zang et al., 2016) [1]. Burn injury is a highly traumatic event for children. The degree of burn severity (superficial-, deep-, or full-thickness injury) often dictates the extent of later scar formation which may require long term surgical operation or skin grafting. The data were obtained by fractionating paediatric burn blister fluid samples, which were pooled according to burn depth and ...[more]

PMID: 27536711

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Project description:BackgroundDepression affects approximately 7.1% of the United States population every year and has an annual economic burden of over $210 billion dollars. Several recent studies have sought to investigate the pathophysiology of depression utilizing focused cerebrospinal fluid (CSF) and serum analysis. Inflammation and metabolic dysfunction have emerged as potential etiological factors from these studies. A dysregulation in the levels of inflammatory proteins such as IL-12, TNF, IL-6 and IFN-γ have been found to be significantly correlated with depression.MethodsCSF samples were obtained from 15 patients, seven with major depressive disorder and eight age- and gender-matched non-psychiatric controls. CSF protein profiles were obtained using quantitative mass spectrometry. The data were analyzed by Progenesis QI proteomics software to identify significantly dysregulated proteins. The results were subjected to bioinformatics analysis using the Ingenuity Pathway Analysis suite to obtain unbiased mechanistic insight into biologically relevant interactions and pathways.ResultsSeveral dysregulated proteins were identified. Bioinformatics analysis indicated that the potential disorder/disease pathways include inflammatory response, metabolic disease and organismal injury. Molecular and cellular functions that were affected include cellular compromise, cell-to-cell signaling & interaction, cellular movement, protein synthesis, and cellular development. The major canonical pathway that was upregulated was acute phase response signaling. Endogenous upstream regulators that may influence dysregulation of proinflammatory molecules associated with depression are interleukin-6 (IL-6), signal transducer and activator of transcription 3 (STAT3), oncostatin M, PR domain zinc finger protein 1 (PRDM1), and peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PPARGC1A).ConclusionsThe proteome profiling data in this report identifies several potential biological functions that may be involved in the pathophysiology of major depressive disorder. Future research into how the differential expression of these proteins is involved in the etiology and severity of depression will be important.

Project description:Background and objectiveGingival crevicular fluid has been of major interest for many decades as a valuable body fluid that may serve as a source of biomarkers for both periodontal and systemic diseases. Owing to its very small sample size, submicroliter volumes, identification of its protein composition by classical biochemical methods has been limited. The advent of highly sensitive mass spectrometric technology has permitted large-scale identification of protein components of many biological samples. This technology has been employed to identify the protein composition of gingival crevicular fluid from inflamed and periodontal sites. In this report, we present a proteome data set of gingival crevicular fluid from healthy periodontium sites.Material and methodsA combination of a periopaper collection method with application of multidimensional protein separation and mass spectrometric technology led to a large-scale documentation of the proteome of gingival crevicular fluid from healthy periodontium sites.ResultsThe approaches used have culminated in identification of 199 proteins in gingival crevicular fluid of periodontally healthy sites. The present gingival crevicular fluid proteome from healthy sites was compared and contrasted with those proteomes of gingival crevicular fluid from inflamed and periodontal sites, as well as serum. The cross-correlation of the gingival crevicular fluid and plasma proteomes permitted dissociation of the 199 identified gingival crevicular fluid proteins into 105 proteins (57%) that can be identified in plasma and 94 proteins (43%) that are distinct and unique to the gingival crevicular fluid microenvironment. Such analysis also revealed distinctions in protein functional categories between serum proteins and those specific to the gingival crevicular fluid microenvironment.ConclusionFirstly, the data presented herein provide the proteome of gingival crevicular fluid from periodontally healthy sites through establishment of innovative analytical approaches for effective analysis of gingival crevicular fluid from periopapers both at the level of complete elusion and with removal of abundant albumin, which restricts identification of low-abundant proteins. Secondly, it adds significantly to the knowledge of gingival crevicular fluid composition and highlights new groups of proteins specific to the gingival crevicular fluid microenvironment.

Dataset Information

Mass spectrometry based data of the blister fluid proteome of paediatric burn patients.

Publications

Mass spectrometry based data of the blister fluid proteome of paediatric burn patients.

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