No full text
Article (Scientific journals)
Quantitative Proteomic Analysis in Candida albicans Using SILAC-Based Mass Spectrometry.
Kaneva, Iliyana N; LONGWORTH, Joseph; Sudbery, Peter E et al.
2018In Proteomics, 18 (5-6), p. 1700278
Peer Reviewed verified by ORBi
 

Files


Full Text
No document available.

Send to



Details



Keywords :
Candida albicans; SILAC; native SILAC; quantitative proteomics; Fungal Proteins; Proteome; Phosphoprotein Phosphatases; Candida albicans/growth & development; Candida albicans/metabolism; Fungal Proteins/analysis; Isotope Labeling/methods; Mass Spectrometry/methods; Mutation; Phosphoprotein Phosphatases/genetics; Phosphoprotein Phosphatases/metabolism; Proteome/analysis; Isotope Labeling; Mass Spectrometry; Biochemistry; Molecular Biology
Abstract :
[en] Stable isotope labelling by amino acids in cell culture (SILAC) in conjunction with MS analysis is a sensitive and reliable technique for quantifying relative differences in protein abundance and posttranslational modifications between cell populations. We develop and utilise SILAC-MS workflows for quantitative proteomics in the fungal pathogen Candida albicans. Arginine metabolism provides important cues for escaping host defences during pathogenesis, which limits the use of auxotrophs in Candida research. Our strategy eliminates the need for engineering arginine auxotrophs for SILAC experiments and allows the use of ARG4 as selectable marker during strain construction. Cells that are auxotrophic for lysine are successfully labelled with both lysine and arginine stable isotopes. We find that prototrophic C. albicans preferentially uses exogenous arginine and down-regulates internal production, which allow it to achieve high incorporation rates. However, similar to other yeast, C. albicans is able to metabolise heavy arginine to heavy proline, which compromised the accuracy of protein quantification. A computational method is developed to correct for the incorporation of heavy proline. In addition, we utilise the developed SILAC labelling in C. albicans for the global quantitative proteomic analysis of a strain expressing a phosphatase-dead mutant Cdc14PD .
Disciplines :
Aquatic sciences & oceanology
Author, co-author :
Kaneva, Iliyana N;  ChELSI Institute, Department of Chemical and Biological Engineering, University of Sheffield, Sheffield, UK ; Department of Molecular Biology and Biotechnology, University of Sheffield, Sheffield, UK
LONGWORTH, Joseph  ;  ChELSI Institute, Department of Chemical and Biological Engineering, University of Sheffield, Sheffield, UK
Sudbery, Peter E;  Department of Molecular Biology and Biotechnology, University of Sheffield, Sheffield, UK
Dickman, Mark J;  ChELSI Institute, Department of Chemical and Biological Engineering, University of Sheffield, Sheffield, UK
External co-authors :
yes
Language :
English
Title :
Quantitative Proteomic Analysis in Candida albicans Using SILAC-Based Mass Spectrometry.
Publication date :
March 2018
Journal title :
Proteomics
ISSN :
1615-9853
eISSN :
1615-9861
Publisher :
Wiley-VCH Verlag, Germany
Volume :
18
Issue :
5-6
Pages :
e1700278
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
Biotechnology and Biological Sciences Research Council
Engineering and Physical Sciences Research Council
Funding text :
I.N.K. was a student funded by the BBSRC White Rose DTP (BB/J014443/1). M.J.D. and P.E.S. acknowledge support from the Biotechnology and Biological Sciences Research Council UK (BB/M012166/1 and BB/J002305/1) and M.J.D. further acknowledges support from Engineering and Physical Sciences Research Council UK.
Available on ORBilu :
since 19 December 2023

Statistics


Number of views
127 (0 by Unilu)
Number of downloads
0 (0 by Unilu)

Scopus citations®
 
11
Scopus citations®
without self-citations
10
OpenCitations
 
14
OpenAlex citations
 
14
WoS citations
 
11

Bibliography


Similar publications



Contact ORBilu