Literature DB >> 26935773

Evaluation of sample extraction methods for proteomics analysis of green algae Chlorella vulgaris.

Yan Gao1, Teck Kwang Lim2, Qingsong Lin2,3, Sam Fong Yau Li1,3.   

Abstract

Many protein extraction methods have been developed for plant proteome analysis but information is limited on the optimal protein extraction method from algae species. This study evaluated four protein extraction methods, i.e. direct lysis buffer method, TCA-acetone method, phenol method, and phenol/TCA-acetone method, using green algae Chlorella vulgaris for proteome analysis. The data presented showed that phenol/TCA-acetone method was superior to the other three tested methods with regards to shotgun proteomics. Proteins identified using shotgun proteomics were validated using sequential window acquisition of all theoretical fragment-ion spectra (SWATH) technique. Additionally, SWATH provides protein quantitation information from different methods and protein abundance using different protein extraction methods was evaluated. These results highlight the importance of green algae protein extraction method for subsequent MS analysis and identification.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Algae; Protein extraction; Sequential window acquisition of all theoretical fragment-ion spectra; Shotgun proteomics

Mesh:

Substances:

Year:  2016        PMID: 26935773     DOI: 10.1002/elps.201500527

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  2 in total

1.  Extracting protein from microalgae (Tetraselmis chuii) for proteome analysis.

Authors:  Liliana Anjos; João Estêvão; Carlos Infante; Lalia Mantecón; Deborah Mary Power
Journal:  MethodsX       Date:  2022-02-17

2.  Comparative proteomic analysis reveals the regulatory network of the veA gene during asexual and sexual spore development of Aspergillus cristatus.

Authors:  Hui Liu; Shilei Sang; Hui Wang; Xiyi Ren; Yumei Tan; Wei Chen; Zuoyi Liu; Yongxiang Liu
Journal:  Biosci Rep       Date:  2018-07-31       Impact factor: 3.840

  2 in total

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