Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10661
Title: Proteomic study of a model causative agent of harmful algal blooms, Prorocentrum triestinum II : the use of differentially expressed protein profiles under different growth phases and growth conditions for bloom prediction
Authors: Chan, LL
Hodgkiss, IJ
Wan, JMF
Lum, JHK
Mak, ASC
Sit, WH
Lo, SCL 
Keywords: Cell cycle
Environmental stress
Growth phases
Harmful algal bloom (HAB) species
Two-dimensional gel electrophoresis
Issue Date: 2004
Publisher: Wiley-VCH
Source: Proteomics, 2004, v. 4, no. 10, p. 3214-3226 How to cite?
Journal: Proteomics 
Abstract: Simultaneous comparison of differentially expressed protein profiles of Prorocentrum triestinum grown under different growth phases and growth conditions indicated the presence of phase-specific and stress-responsive proteins, respectively. Correlation studies on these proteins in relation to cell division phasing patterns and to models of phytoplankton growth inferred the possible functions. Most notable among these proteins were groups of proteins thought to trigger or mediate cells through specific phases of division of this alga, e.g., BP1, BP2, PB1, PB2, and PB3. Other proteins (e.g., group 1 proteins) thought to be responsible for maintaining and supporting cell concentration under adverse conditions were found. Furthermore, another group of proteins (group 2 proteins) thought to be stress-responsive were also detected. Taken overall, these differentially expressed proteins provided important information for uncovering various protective and adaptive mechanisms in the dinoflagellate's life cycle. These proteins have the potential to serve as "indicator proteins" for rapid assessment of the nutritional or metabolic status of these phytoplankton cells, and monitoring the differential expression of these phase-specific proteins and stress-specific proteins could be an important biomarker for bloom prediction.
URI: http://hdl.handle.net/10397/10661
ISSN: 1615-9853
EISSN: 1615-9861
DOI: 10.1002/pmic.200300838
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