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Processing MALDI Mass Spectra to Improve Mass Spectral Direct Tissue Analysis
Authors:Norris Jeremy L  Cornett Dale S  Mobley James A  Andersson Malin  Seeley Erin H  Chaurand Pierre  Caprioli Richard M
Institution:aProtein Discovery, Inc., 418 S. Gay Street-Suite 203, Knoxville, TN 37902, United States;bMass Spectrometry Research Center, Vanderbilt University School of Medicine, 435, 21st Avenue South-Room 9160, Nashville, TN 37232, United States;cDepartment of Surgery, Division of Urology, University of Alabama in Birmingham, 1530, 3rd Avenue South Birmingham, AL 35294, United States
Abstract:Profiling and imaging biological specimens using MALDI mass spectrometry has significant potential to contribute to our understanding and diagnosis of disease. The technique is efficient and high-throughput providing a wealth of data about the biological state of the sample from a very simple and direct experiment. However, in order for these techniques to be put to use for clinical purposes, the approaches used to process and analyze the data must improve. This study examines some of the existing tools to baseline subtract, normalize, align, and remove spectral noise for MALDI data, comparing the advantages of each. A preferred workflow is presented that can be easily implemented for data in ASCII format. The advantages of using such an approach are discussed for both molecular profiling and imaging mass spectrometry.
Keywords:Profiling  Imaging  Mass spectrometry  MALDI  Pre-processing
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