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  Protein profiling of non-model plant Cuminum cyminum by gel-based proteomic approach.

Zaman, U., Urlaub, H., & Abbasi, A. (2018). Protein profiling of non-model plant Cuminum cyminum by gel-based proteomic approach. Phytochemical Analysis, 29(3), 242-249. doi:10.1002/pca.2738.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002E-3793-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-C245-4
Genre: Journal Article

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2504297.pdf (Publisher version), 525KB
 
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 Creators:
Zaman, U.1, Author              
Urlaub, H.1, Author              
Abbasi, A., Author
Affiliations:
1Research Group of Bioanalytical Mass Spectrometry, MPI for biophysical chemistry, Max Planck Society, ou_578613              

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Free keywords: Cuminum cyminum; cumin; liquid chromatography-high resolution mass spectrometry; one-dimensional gel electrophoresis; plant proteomics; protein extraction
 Abstract: Introduction Cumin (Cuminum cyminum), a popular spice has been widely used in traditional medicine to cure various ailments. Despite the existence of scientific literature about its pharmacological properties, no successful proteome profiling has yet been attempted. Objective To optimise extraction of cumin proteins and analyse its profile by shotgun proteomics, using one-dimensional electrophoresis coupled with nano-ESI-LC–MS/MS. Methodology As a first step, we have compared three extraction protocols for total proteins extraction from cumin. Extracted proteins were separated on one-dimensional gel and analysed by state-of-the-art linear ion trap (LTQ)-Orbitrap Velose and Q Exactive HF mass spectrometer. Results Evaluation of extraction method revealed significant differences in protein yield and proteome composition between the three extracts. LC–MS/MS allowed identification of several proteins with functional significance in various biological processes. Conclusion This study provides identification of a large number of proteins and offers a molecular basis for future research on potential pharmacologically active cumin proteins.

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Language(s): eng - English
 Dates: 2017-11-162018-05
 Publication Status: Published in print
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 Rev. Method: Peer
 Identifiers: DOI: 10.1002/pca.2738
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Title: Phytochemical Analysis
Source Genre: Journal
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Pages: - Volume / Issue: 29 (3) Sequence Number: - Start / End Page: 242 - 249 Identifier: -