Proteomics

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Comprehensive identification of proteins from MALDI imaging


ABSTRACT: MALDI imaging mass spectrometry (MALDI IMS) is a powerful tool for the visualization of proteins in tissues and has demonstrated considerable diagnostic and prognostic value. One main challenge is that the molecular identity of such potential biomarkers mostly remains unknown. We introduce a method that removes this issue by systematically identifying the proteins embedded in the MALDI matrix using a combination of bottom-up and top-down proteomics. The analyses of ten human tissues lead to the identification of 1,400 abundant and soluble proteins constituting the set of proteins detectable by MALDI IMS including >90% of all IMS biomarkers reported in the literature. Top-down analysis of the matrix proteome identified 124 mostly N- and C-terminally fragmented proteins indicating considerable protein processing activity in tissues. This work presents a generic method and near complete list of MALDI IMS biomarkers that will become a valuable resource for the IMS community. Detailed description of the bioinformatics pipeline can be found in pipeline.txt. Briefly, different Mascot Distiller, Mascot and Scaffold versions have been used for the bottom-up and top-down data.

INSTRUMENT(S): LTQ Orbitrap, LTQ Orbitrap Elite

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Stefan K Maier  

PROVIDER: PXD000125 | Pride | 2013-07-03

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
002113_A00_B00X_R1.RAW Raw
00525_A12_P003858_R1.raw Raw
00525_A12_P003858_R2.raw Raw
00525_A12_P003858_R3.raw Raw
00525_A12_P003858_R4.raw Raw
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Comprehensive identification of proteins from MALDI imaging.

Maier Stefan K SK   Hahne Hannes H   Gholami Amin Moghaddas AM   Balluff Benjamin B   Meding Stephan S   Schoene Cédrik C   Walch Axel K AK   Kuster Bernhard B  

Molecular & cellular proteomics : MCP 20130619 10


Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) is a powerful tool for the visualization of proteins in tissues and has demonstrated considerable diagnostic and prognostic value. One main challenge is that the molecular identity of such potential biomarkers mostly remains unknown. We introduce a generic method that removes this issue by systematically identifying the proteins embedded in the MALDI matrix using a combination of bottom-up and top-down proteomics.  ...[more]

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