Proteomics

Dataset Information

0

LOPIT-DC subcellular map of U-2 OS cells


ABSTRACT: Generation of a high-resolution subcellular localisation map for the proteome of the human cancer cell line U-2 OS, using the newly developed LOPIT-DC method. Comparison of the results generated using LOPIT-DC with data generated using the well-established hyperLOPIT method and data mining regarding multi-localising proteins, signalling pathways, isoforms and large protein complexes. Integration of the two methods using transfer learning.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Permanent Cell Line Cell, Cell Culture

DISEASE(S): Bone Osteosarcoma

SUBMITTER: Aikaterini Geladaki  

LAB HEAD: Kathryn Lilley

PROVIDER: PXD011254 | Pride | 2019-01-23

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
DC_REP1_F1.dat Other
DC_REP1_F1.raw Raw
DC_REP1_F10.dat Other
DC_REP1_F10.raw Raw
DC_REP1_F11.dat Other
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Publications

Combining LOPIT with differential ultracentrifugation for high-resolution spatial proteomics.

Geladaki Aikaterini A   Kočevar Britovšek Nina N   Breckels Lisa M LM   Smith Tom S TS   Vennard Owen L OL   Mulvey Claire M CM   Crook Oliver M OM   Gatto Laurent L   Lilley Kathryn S KS  

Nature communications 20190118 1


The study of protein localisation has greatly benefited from high-throughput methods utilising cellular fractionation and proteomic profiling. Hyperplexed Localisation of Organelle Proteins by Isotope Tagging (hyperLOPIT) is a well-established method in this area. It achieves high-resolution separation of organelles and subcellular compartments but is relatively time- and resource-intensive. As a simpler alternative, we here develop Localisation of Organelle Proteins by Isotope Tagging after Dif  ...[more]

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