Proteomics

Dataset Information

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Mouse brain MALDI-imaging proteomics profiling

ABSTRACT: We developed and validated ‘HIT-MAP’ (High-resolution Informatics Toolbox in MALDI-MSI Proteomics), an open-source bioinformatics workflow using peptide mass fingerprint analysis and a dual scoring system to computationally assign peptide and protein annotations to high mass resolution MSI datasets, and generate customisable spatial distribution maps. The uploaded files are an example dataset for the HiTMaP proteomics search engine, designed for MALDI-imaging proteomics annotation. The example data files contain one bovine lens tissue section and one mouse brain tissue section. The ID folder contains the protein/peptide identification result for each tissue segment, and the summary folder contains the protein cluster images.

INSTRUMENT(S):

ORGANISM(S): Bos Taurus (bovine) Mus Musculus (mouse)

TISSUE(S): Brain, Lens

SUBMITTER: George, G GUO  

LAB HEAD: GUS GREY

PROVIDER: PXD025486 | Pride | 2021-05-17

REPOSITORIES: Pride

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Publications

Automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP.

Guo G G   Papanicolaou M M   Demarais N J NJ   Wang Z Z   Schey K L KL   Timpson P P   Cox T R TR   Grey A C AC  

Nature communications 20210528 1

Spatial proteomics has the potential to significantly advance our understanding of biology, physiology and medicine. Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) is a powerful tool in the spatial proteomics field, enabling direct detection and registration of protein abundance and distribution across tissues. MALDI-MSI preserves spatial distribution and histology allowing unbiased analysis of complex, heterogeneous tissues. However, MALDI-MSI faces the challe  ...[more]

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