Data for iTRAQ profiling of micro-vesicular plasma specimens: In search of potential prognostic circulatory biomarkers for Lacunar infarction.

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We confidently (unused prot score >3, FDR=1.1%) identified 183 proteins, 43 out of which were significantly regulated (p-value<0.05) in at least one of the three LACI groups in comparison to control group. Bioinformatics analysis and data mining revealed upregulation of brain-specific proteins including myelin basic protein, proteins of coagulation cascade (e.g., fibrinogen alpha chain, fibrinogen beta chain) and focal adhesion (e.g., integrin alpha-IIb, talin-1, and filamin-A) while albumin was downregulated in both groups of patients with adverse outcome. The data of this study are also in line with our previously published article entitled \"Discovery of prognostic biomarker candidates of Lacunar infarction by quantitative proteomics of microvesicles enriched plasma\" by Datta et al. (2014). The raw data had been deposited to the ProteomeXchange consortium with identifier PXD000748.", "claims": [{"id": "claim-data-access", "statement": "All data are available with this article. 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They were lyophilized and dissolved in sodium dodecyl sulfate containing dissolution buffer prior to in-gel digestion, isoberic labeling, chromatographic fractionation and mass spectrometry."], ["Experimental features", "•Multi-dimensional liquid chromatography coupled with mass spectrometry✓4-plex Isobaric tags for relative and absolute quantification (iTRAQ)( Applied Biosystems)✓Electrostatic repulsion and hydrophilic interaction chromatography (ERLIC)"], ["Data source location", "Singapore"], ["Data accessibility", "All data are available with this article. The proteomics raw data files can be found at ProteomeXchange with identifier PXD000748."]], "row_count": 9, "column_count": 2, "numeric_cells": 3, "header_rows": 0, "locator": "section[1]/table-wrap[1]#t0005"}}, {"id": "asset:table:pmid:26966714:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:646b89fab2f35fd06363b984e59e7987f5f518ffed126bd9e923afd87a3f4893", "bytes": 1173, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[2]/table-wrap[1]#t0010", "version": null, "note": null, "structure": {"pmcid": "PMC4783520", "section_index": 2, "section_title": "Value of the data", "row_count": 1, "column_count": 1}, "table": {"label": null, "caption": null, "rows": [["•Our study is the first of its kind where an iTRAQ-guided discovery proteomics approach was used to identify potential prognostic circulatory biomarkers of ischemic stroke.•Bioinformatics analysis and data mining revealed upregulation of brain-specific proteins including myelin basic protein, proteins of coagulation cascade (e.g., fibrinogen alpha chain, fibrinogen beta chain) and focal adhesion (e.g., integrin alpha-IIb, talin-1, and filamin-A) while albumin was downregulated in both groups of LACI patients with adverse outcome.•The short-listed candidate prognostic biomarkers from this data set may stimulate validation studies on independent cohort of individual LACI patients.•In absence of clinically proven circulatory biomarkers, these candidates can also be tried as surrogate markers in LACI-related clinical trials to check the consequences of therapeutic interventions.•From an academic standpoint, this data set may offer important insight into the mechanisms of poor prognosis following LACI."]], "row_count": 1, "column_count": 1, "numeric_cells": 1, "header_rows": 0, "locator": "section[2]/table-wrap[1]#t0010"}}], "gaps": ["asset:data:geo:PXD000748 not downloaded", "asset:data:geo:PXD000748 licence not read"]}, "analysis": {"state": "absent", "methods": [], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": null, "expected_value": 1.1, "unit": "per cent", "tolerance": null, "state": "complete", "note": "The published estimate as the reader quoted it from the paper. 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