Quantification-based mass spectrometry imaging of proteins by parafilm assisted microdissection. Franck, J., Quanico, J., Wisztorski, M., Day, R., Salzet, M., & Fournier, I. Anal Chem, 85(17):8127–34, September, 2013. ![Quantification-based mass spectrometry imaging of proteins by parafilm assisted microdissection [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex MALDI mass spectrometry imaging (MALDI-MSI) was presented as a good strategy to highlight regions presenting specific phenotypes based on molecular content. The proteins present in the different areas can be identified by MALDI MSI; however, the number of protein identifications remains low in comparison with classical MS-based proteomics approaches. To overcome this, a new strategy, involving the microdissection of tissue sections mounted on parafilm M-covered glass slides, is presented. Extraction and fractionation of proteins from a specific region of interest were investigated, leading to the identification of more than 1000 proteins from each microdissected piece. The strength of this cheap technique lies in the facile excision of millimeter-sized portions from the tissue allowing for the identification of proteins from cells of a specific phenotype obtained from the MALDI MS imaging-based molecular classification using hierarchical clustering. This approach can be extended to whole tissue sections in order to generate images of the section based on label-free quantification obtained from identification data. As a proof of concept, we have studied a tissue mounted on a parafilm M-covered glass slide, cut it into regular pieces, and submitted each piece to identification and quantification according to the developed parafilm-assisted microdissection (PAM) method. Images were then reconstructed by relative quantification of identified proteins based on spectral counting of the peptides analyzed by nanoLC-MS and MS/MS. This strategy of quantification-based MSI offers new possibilities for mapping a large number of high and low abundance proteins.
@article{franck_quantification-based_2013,
title = {Quantification-based mass spectrometry imaging of proteins by parafilm assisted microdissection},
volume = {85},
issn = {1520-6882 (Electronic) 0003-2700 (Linking)},
url = {http://www.ncbi.nlm.nih.gov/pubmed/23869483},
doi = {10.1021/ac4009397},
abstract = {MALDI mass spectrometry imaging (MALDI-MSI) was presented as a good strategy to highlight regions presenting specific phenotypes based on molecular content. The proteins present in the different areas can be identified by MALDI MSI; however, the number of protein identifications remains low in comparison with classical MS-based proteomics approaches. To overcome this, a new strategy, involving the microdissection of tissue sections mounted on parafilm M-covered glass slides, is presented. Extraction and fractionation of proteins from a specific region of interest were investigated, leading to the identification of more than 1000 proteins from each microdissected piece. The strength of this cheap technique lies in the facile excision of millimeter-sized portions from the tissue allowing for the identification of proteins from cells of a specific phenotype obtained from the MALDI MS imaging-based molecular classification using hierarchical clustering. This approach can be extended to whole tissue sections in order to generate images of the section based on label-free quantification obtained from identification data. As a proof of concept, we have studied a tissue mounted on a parafilm M-covered glass slide, cut it into regular pieces, and submitted each piece to identification and quantification according to the developed parafilm-assisted microdissection (PAM) method. Images were then reconstructed by relative quantification of identified proteins based on spectral counting of the peptides analyzed by nanoLC-MS and MS/MS. This strategy of quantification-based MSI offers new possibilities for mapping a large number of high and low abundance proteins.},
number = {17},
journal = {Anal Chem},
author = {Franck, J. and Quanico, J. and Wisztorski, M. and Day, R. and Salzet, M. and Fournier, I.},
month = sep,
year = {2013},
keywords = {*Brain Chemistry, Animals, Brain/*anatomy \& histology, Mass, Matrix-Assisted Laser Desorption-Ionization/*methods, Membrane Proteins/*analysis, Microdissection/*methods, Paraffin/*chemistry, Rats, Spectrometry},
pages = {8127--34},
}
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