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A mass Spectrometry Imaging-based Pl...

Ye, Hui.

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A mass Spectrometry Imaging-based Platform: Towards Discovery in Metabolomics, Neuropeptidomics and Proteomics.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A mass Spectrometry Imaging-based Platform: Towards Discovery in Metabolomics, Neuropeptidomics and Proteomics./
作者:	Ye, Hui.
面頁冊數:	410 p.
附註:	Source: Dissertation Abstracts International, Volume: 74-11(E), Section: B.
Contained By:	Dissertation Abstracts International74-11B(E).
標題:	Chemistry, Analytical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3588539
ISBN:	9781303266959

A mass Spectrometry Imaging-based Platform: Towards Discovery in Metabolomics, Neuropeptidomics and Proteomics.
Ye, Hui.

A mass Spectrometry Imaging-based Platform: Towards Discovery in Metabolomics, Neuropeptidomics and Proteomics. - 410 p.

Source: Dissertation Abstracts International, Volume: 74-11(E), Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2013.

Mass spectrometry imaging (MSI) has evolved as a promising technology to map a broad range of molecules ranging from metabolites, peptides to proteins in an anatomical context. In this work, a multi-dimensional MSI-based platform was developed and applied to investigate several intriguing biological problems.

ISBN: 9781303266959Subjects--Topical Terms:

586156
Chemistry, Analytical.

A mass Spectrometry Imaging-based Platform: Towards Discovery in Metabolomics, Neuropeptidomics and Proteomics.
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245 1 2 $a A mass Spectrometry Imaging-based Platform: Towards Discovery in Metabolomics, Neuropeptidomics and Proteomics.
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500 $a Source: Dissertation Abstracts International, Volume: 74-11(E), Section: B.
500 $a Adviser: Lingjun Li.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2013.
520 $a Mass spectrometry imaging (MSI) has evolved as a promising technology to map a broad range of molecules ranging from metabolites, peptides to proteins in an anatomical context. In this work, a multi-dimensional MSI-based platform was developed and applied to investigate several intriguing biological problems.
520 $a This dissertation first introduces the rationale and recent progress of MSI, reviews its emerging applications to various fields and outlines one limitation that the detection of low molecular weight (MW) species is usually hindered by matrix-derived peaks. An ionless matrix referred as the proton sponge is therefore investigated as a solution to eliminate the interferences. It allows for probing metabolites in roots and root nodules of leguminous plants Medicago truncatula that possess symbiotic interactions with nitrogen-fixing rhizobia, highlighting differences in metabolic distribution between roots and nodules. In addition to exploring novel matrices, high resolution and high accuracy MSI (HRMSI) is also developed to circumvent matrix interferences by resolving endogenous analytes from background peaks. Novel spatial information of multiple metabolites and neurotransmitters is gleaned using rodent and crustacean brain specimens in this proof-of-principle study. Beyond metabolites, the HRMSI-based approach is applied to map neuropeptides in crustacean stomatogastric ganglia. Complementary to MALDI-MS, electrospray ionization (ESI)-MS-based experiments deliver another suite of neuropeptides. We therefore combine multiple MS instruments and compared their performances for characterization of novel neuropeptides from a marine model organism, the spiny lobster Panulirus interruptus. In addition to peptides, MALDI-MSI has also been applied to mapping protein distributions in the brain under pharmacological treatment. Specifically, alterations of protein expression patterns in the brains of infant rats were studied following neonatal exposure to the N-methyl-D-aspartate receptor antagonist dizocilpine (MK 801). A strategy combining profiling and imaging MS and top-down high-resolution tandem MS is utilized to discover putative protein biomarkers that may serve as potential targets of treatments for neurodevelopmental disorders.
520 $a This work not only improves upon MSI by developing new methods, but also presents a useful platform that integrates MALDI-MSI with ESI-MS in exploring the underlying chemistry of various biological models exemplified by rodent, crustacean and plant-bacteria systems, and demonstrates wide applicability to future research.
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