Improving the identification rate of data independent label-free quantitative proteomics experiments on non-model crops: A case study on apple fruit

Journal of Proteomics

Volumn 105, Issue , 2014, Pages 31-45

  Buts, Kim ^a   Michielssens, Servaas ^a,b   Hertog, Maarten L A T M ^a   Hayakawa, Eisuke ^a   Cordewener, Jan ^c   America, Antoine H P ^c   Nicolai, Bart M ^a,d   Carpentier, Sebastien C ^a,e  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b MAX PLANCK INSTITUTE FOR BIOPHYSICAL CHEMISTRY   (Germany)

^c WAGENINGEN UNIVERSITY   (Netherlands)

^d Flanders Centre of Postharvest Technology   (Belgium)

^e KU LEUVEN   (Belgium)

Author keywords

Data independent acquisition; Label free quantification; Non model crop; Plant proteomics

Indexed keywords

ETHYLENE; PEPTIDE; ETHYLENE DERIVATIVE; VEGETABLE PROTEIN;

ABIOTIC STRESS; ANALYTIC METHOD; APPLE; ARTICLE; CROP; GENE IDENTIFICATION; INFORMATION PROCESSING; NONHUMAN; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN FAMILY; PROTEOMICS; QUANTITATIVE ANALYSIS; SYNTHESIS; UPREGULATION; WORKFLOW; BIOSYNTHESIS; FOOD PRESERVATION; FRUIT; GENETIC DATABASE; GENETICS; MALUS; METABOLISM; PROCEDURES;

MALUS X DOMESTICA;

DATABASES, GENETIC; ETHYLENES; FOOD PRESERVATION; FRUIT; MALUS; PLANT PROTEINS; PROTEOMICS;

EID: 84901826910     PISSN: 18743919     EISSN: 18767737     Source Type: Journal    
DOI: 10.1016/j.jprot.2014.02.015     Document Type: Article

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