Classifying Human Brain Tumors by Lipid Imaging with Mass Spectrometry
نویسندگان
چکیده
منابع مشابه
Classifying human brain tumors by lipid imaging with mass spectrometry.
Brain tissue biopsies are required to histologically diagnose brain tumors, but current approaches are limited by tissue characterization at the time of surgery. Emerging technologies such as mass spectrometry imaging can enable a rapid direct analysis of cancerous tissue based on molecular composition. Here, we illustrate how gliomas can be rapidly classified by desorption electrospray ionizat...
متن کاملClassifying Human Brain Tumors by Lipid Imaging with Mass
Brain tissue biopsies are required to histologically diagnose brain tumors, but current approaches are limited by tissue characterization at the time of surgery. Emerging technologies such as mass spectrometry imaging can enable a rapid direct analysis of cancerous tissue based on molecular composition. Here, we illustrate how gliomas can be rapidly classified by desorption electrospray ionizat...
متن کاملMolecular and Cellular Pathobiology Classifying Human Brain Tumors by Lipid Imaging with Mass Spectrometry
Brain tissue biopsies are required to histologically diagnose brain tumors, but current approaches are limited by tissue characterization at the time of surgery. Emerging technologies such as mass spectrometry imaging can enable a rapid direct analysis of cancerous tissue based on molecular composition. Here, we illustrate how gliomas can be rapidly classified by desorption electrospray ionizat...
متن کاملImaging of lipid species by MALDI mass spectrometry.
Recent developments in MALDI have enabled direct detection of lipids as intact molecular species present within cellular membranes. Abundant lipid-related ions are produced from the direct analysis of thin tissue slices when sequential spectra are acquired across a tissue surface that has been coated with a MALDI matrix. The lipid-derived ions can often be distinguished from other biomolecules ...
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ژورنال
عنوان ژورنال: Cancer Research
سال: 2011
ISSN: 0008-5472,1538-7445
DOI: 10.1158/0008-5472.can-11-2465