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.
[doi:10.25345/C5N57S]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: Lopit-dc ; Hyperlopit ; Cancer subcellular map ; Spatial proteomics
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Principal Investigators: (in alphabetical order) |
Kathryn Lilley, University of Cambridge, Cambridge Centre for Proteomics, N/A |
| Submitting User: | ccms |
Geladaki A, Ko?evar Britovšek N, Breckels LM, Smith TS, Vennard OL, Mulvey CM, Crook OM, Gatto L, Lilley KS.
Combining LOPIT with differential ultracentrifugation for high-resolution spatial proteomics.
Nat Commun. 2019 Jan 18;10(1):331. Epub 2019 Jan 18.
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