Proteomics

Dataset Information

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Dissecting the malaria interactome


ABSTRACT: To identify malaria protein interactions systematically we combined blue native polyacrylamide electrophoresis fractionation with quantitative mass spectrometry and machine learning. Our integrative approach identified over twenty thousand protein interactions in Plasmodium schizonts, organized into 600 complexes, the majority of which are novel, and generated a high-confidence Plasmodium protein interaction network.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Plasmodium Berghei

TISSUE(S): Schizont

DISEASE(S): Malaria

SUBMITTER: James Wright  

LAB HEAD: Jyoti Choudhary

PROVIDER: PXD010117 | Pride | 2019-08-06

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Fusion_MP001_4R1.raw Raw
Fusion_MP001_4R1X.raw Raw
Fusion_MP001_7R1.raw Raw
Fusion_MP002_8.raw Raw
Fusion_MP002_8X.raw Raw
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Publications

Landscape of the Plasmodium Interactome Reveals Both Conserved and Species-Specific Functionality.

Hillier Charles C   Pardo Mercedes M   Yu Lu L   Bushell Ellen E   Sanderson Theo T   Metcalf Tom T   Herd Colin C   Anar Burcu B   Rayner Julian C JC   Billker Oliver O   Choudhary Jyoti S JS  

Cell reports 20190801 6


Malaria represents a major global health issue, and the identification of new intervention targets remains an urgent priority. This search is hampered by more than one-third of the genes of malaria-causing Plasmodium parasites being uncharacterized. We report a large-scale protein interaction network in Plasmodium schizonts, generated by combining blue native-polyacrylamide electrophoresis with quantitative mass spectrometry and machine learning. This integrative approach, spanning 3 species, id  ...[more]

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