An eco-friendly, low-cost, and automated strategy for phosphoproteome profiling

Zhang, WY; Lai, CK; Huang, WJ; Li, WY; Wu, SW; Kong, Q; Hopkinson, AC; Fernie, A. R.; Siu, KWM; Yan, SJ

doi:10.1039/D2GC02345H

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

An eco-friendly, low-cost, and automated strategy for phosphoproteome profiling

MPS-Authors

/persons/resource/persons97147

Fernie, A. R.
Central Metabolism, Department Gutjahr, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Zhang, W., Lai, C., Huang, W., Li, W., Wu, S., Kong, Q., et al. (2022). An eco-friendly, low-cost, and automated strategy for phosphoproteome profiling. Green Chemistry, 24, 9697-9708. doi:10.1039/D2GC02345H.

Cite as: https://hdl.handle.net/21.11116/0000-000C-0026-9

Abstract

There is no abstract available