Literature DB >> 16260651

Characterization of vascular protein expression patterns in cerebral ischemia/reperfusion using laser capture microdissection and ICAT-nanoLC-MS/MS.

Arsalan S Haqqani1, Momir Nesic, Ed Preston, Ewa Baumann, John Kelly, Danica Stanimirovic.   

Abstract

Cerebral ischemia rapidly initiates structural and functional changes in brain vessels, including blood-brain barrier disruption, inflammation, and angiogenesis. Molecular events that accompany these changes were investigated in brain microvessels extracted using laser-capture microdissection (LCM) from Sprague-Dawley rats subjected to a 20 min transient global cerebral ischemia followed by 1, 6, or 24 h reperfusion. Proteins extracted from approximately 300 LCM captured microvessels (20-100 microm) were ICAT-labeled and analyzed by nanoLC-MS. In-house software was used to identify paired ICAT peaks, which were then sequenced by nanoLC-MS/MS. Pattern analyses using k-means clustering method classified 57 differentially expressed proteins in 7 distinct dynamic patterns. Protein function was assigned using Panther Classification system. Early reperfusion (1 h) was characterized by down-regulation of ion pumps, nutrient transporters, and cell structure/motility proteins, and up-regulation of transcription factors, signal transduction molecules and proteins involved in carbohydrate metabolism. The up-regulation of inflammatory cytokines and proteins involved in the extracellular matrix remodeling and anti-oxidative defense was observed in late reperfusion (6-24 h). The up-regulation of IL-1beta and TGF-1beta in ischemic brain vessels was confirmed by ELISA, quantitative PCR, and/or immunohistochemistry. A biphasic postischemic (1 and 24 h) BBB opening for (3)H-sucrose was evident in the same model. Differentially expressed proteins identified in brain vessels during reperfusion are likely involved in orchestrating functional vascular responses to ischemia, including the observed BBB disruption.

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Year:  2005        PMID: 16260651     DOI: 10.1096/fj.05-3793com

Source DB:  PubMed          Journal:  FASEB J        ISSN: 0892-6638            Impact factor:   5.191


  38 in total

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Review 2.  Approaches for targeted proteomics and its potential applications in neuroscience.

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Review 3.  The inflammatory response in stroke.

Authors:  Qing Wang; Xian Nan Tang; Midori A Yenari
Journal:  J Neuroimmunol       Date:  2006-12-26       Impact factor: 3.478

4.  Quantification of the synaptosomal proteome of the rat cerebellum during post-natal development.

Authors:  Daniel B McClatchy; Lujian Liao; Sung Kyu Park; John D Venable; John R Yates
Journal:  Genome Res       Date:  2007-08-03       Impact factor: 9.043

Review 5.  Inflammatory responses in brain ischemia.

Authors:  Masahito Kawabori; Midori A Yenari
Journal:  Curr Med Chem       Date:  2015       Impact factor: 4.530

6.  Inflammation after stroke: mechanisms and therapeutic approaches.

Authors:  Muzamil Ahmad; Steven H Graham
Journal:  Transl Stroke Res       Date:  2010-06       Impact factor: 6.829

Review 7.  Angiogenesis-regulating microRNAs and Ischemic Stroke.

Authors:  Ke-Jie Yin; Milton Hamblin; Y Eugene Chen
Journal:  Curr Vasc Pharmacol       Date:  2015       Impact factor: 2.719

8.  Spatial differences in an integral membrane proteome detected in laser capture microdissected samples.

Authors:  Zhen Wang; Jun Han; Kevin L Schey
Journal:  J Proteome Res       Date:  2008-05-20       Impact factor: 4.466

9.  Lrg participates in lipopolysaccharide preconditioning-induced brain ischemia injury via TLR4 signaling pathway.

Authors:  Gu Gong; Shurong Bai; Wei Wu; Ling Hu; Yinghai Liu; Jie Niu; Xuemei Dai; Liang Yin; Xiaowu Wang
Journal:  J Mol Neurosci       Date:  2014-02-15       Impact factor: 3.444

10.  Plasma interleukin-1beta concentration is associated with stroke in sickle cell disease.

Authors:  Kwaku Asare; Beatrice E Gee; Jonathan K Stiles; Nana O Wilson; Adel Driss; Alexander Quarshie; Robert J Adams; Abdullah Kutlar; Jacqueline M Hibbert
Journal:  Cytokine       Date:  2009-11-08       Impact factor: 3.861

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