ArticlePlant physiology2014
Label-free protein quantification for plant Golgi protein localization and abundance.
Article in Plant physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
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- SOS1 tonoplast neo-localization and the RGG protein SALTY are important in the extreme salinity tolerance of Salicornia bigelovii.Nature communications · 2024Article
- A century journey of organelles research in the plant endomembrane system.The Plant cell · 2024Review
- TopPICR: A Companion R Package for Top-Down Proteomics Data Analysis.Journal of proteome research · 2023Article
- Spatial proteomics of vesicular trafficking: coupling mass spectrometry and imaging approaches in membrane biology.Plant biotechnology journal · 2023Review
- Golgi-localized putative S-adenosyl methionine transporters required for plant cell wall polysaccharide methylation.Nature plants · 2022Article
- Physiological Importance of Molybdate Transporter Family 1 in Feeding the Molybdenum Cofactor Biosynthesis Pathway inMolecules (Basel, Switzerland) · 2022Article
- Plant Trans-Golgi Network/Early Endosome pH regulation requires Cation Chloride Cotransporter (CCC1).eLife · 2022Article
- Subcellular Proteomics as a Unified Approach of Experimental Localizations and Computed Prediction Data for Arabidopsis and Crop Plants.Advances in experimental medicine and biology · 2021Article
- Extensins: Self-Assembly, Crosslinking, and the Role of Peroxidases.Frontiers in plant science · 2021Review
- Article
- Golgi-localized cyclophilin 21 proteins negatively regulate ABA signalling via the peptidyl prolyl isomerase activity during early seedling development.Plant molecular biology · 2020Article
- Article
- Glycome and Proteome Components of Golgi Membranes Are Common between Two Angiosperms with Distinct Cell-Wall Structures.The Plant cell · 2019Article
- A Random Forest Sub-Golgi Protein Classifier Optimized via Dipeptide and Amino Acid Composition Features.Frontiers in bioengineering and biotechnology · 2019Article
- Identification of Key Enzymes for Pectin Synthesis in Seed Mucilage.Plant physiology · 2018Article
- A broadly conserved NERD genetically interacts with the exocyst to affect root growth and cell expansion.Journal of experimental botany · 2018Article
- Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
The proteomic composition of the Arabidopsis (Arabidopsis thaliana) Golgi apparatus is currently reasonably well documented; however, little is known about the relative abundances between different proteins within this compartment. Accurate quantitative information of Golgi resident proteins is of great importance: it facilitates a better understanding of the biochemical processes that take place within this organelle, especially those of different polysaccharide synthesis pathways. Golgi resident proteins are challenging to quantify because the abundance of this organelle is relatively low within the cell. In this study, an organelle fractionation approach targeting the Golgi apparatus was combined with a label-free quantitative mass spectrometry (data-independent acquisition method using ion mobility separation known as LC-IMS-MS(E) [or HDMS(E)]) to simultaneously localize proteins to the Golgi apparatus and assess their relative quantity. In total, 102 Golgi-localized proteins were quantified. These data show that organelle fractionation in conjunction with label-free quantitative mass spectrometry is a powerful and relatively simple tool to access protein organelle localization and their relative abundances. The findings presented open a unique view on the organization of the plant Golgi apparatus, leading toward unique hypotheses centered on the biochemical processes of this organelle.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.