Literature DB >> 15352226

A critical evaluation of sample extraction techniques for enhanced proteomic analysis of recalcitrant plant tissues.

Ramu S Saravanan1, Jocelyn K C Rose.   

Abstract

Most published proteomics studies of bulk plant tissues use a procedure in which proteins are precipitated with trichloroacetic acid (TCA) and acetone (TCA-A), but few attempts have been made to contrast this approach in a systematic way with alternative methods against a spectrum of tissues. To address this, TCA-A was compared with another acetone-based protocol (TCA-B) or a phenol (Phe)-based method, targeting a range of tomato tissues and three species of fruits that contain high levels of contaminating compounds: banana, avocado and orange. The Phe method gave a higher protein yield and typically greater resolution and spot intensity, particularly with extracts from tissues containing high levels of soluble polysaccharides. The methods also generated remarkably different two-dimensional gel electrophoresis (2-DE) protein spot patterns. Peptide mass fingerprinting was used to identify polypeptides that were common to multiple extracts or uniquely present in one extract type. While no clear pattern emerged to explain the basis for the differential protein extraction, it was noted that the Phe method showed enhanced extraction of glycoproteins. These results suggest that the Phe protocol is highly effective with more recalcitrant tissues and that a combination of TCA-A and Phe methods provides enhanced 2-DE based proteomic analyses of most plant tissues.

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Year:  2004        PMID: 15352226     DOI: 10.1002/pmic.200300789

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  81 in total

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Journal:  Mycorrhiza       Date:  2011-01-06       Impact factor: 3.387

2.  Molecular interactions between the specialist herbivore Manduca sexta (Lepidoptera, Sphingidae) and its natural host Nicotiana attenuata. VII. Changes in the plant's proteome.

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Journal:  Plant Physiol       Date:  2006-10-06       Impact factor: 8.340

3.  Major proteome variations associated with cherry tomato pericarp development and ripening.

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Journal:  Plant Physiol       Date:  2007-01-05       Impact factor: 8.340

4.  Evidence for phosphorylation of the major seed storage protein of the common bean and its phosphorylation-dependent degradation during germination.

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Journal:  Plant Mol Biol       Date:  2013-10-20       Impact factor: 4.076

5.  Improvement of recombinant hGM-CSF production by suppression of cysteine proteinase gene expression using RNA interference in a transgenic rice culture.

Authors:  Nan-Sun Kim; Tae-Geum Kim; Ok-Hyun Kim; Eun-Mi Ko; Yong-Suk Jang; Eun-Sun Jung; Tae-Ho Kwon; Moon-Sik Yang
Journal:  Plant Mol Biol       Date:  2008-06-28       Impact factor: 4.076

6.  A comparison of protein extraction methods suitable for gel-based proteomic studies of aphid proteins.

Authors:  M Cilia; T Fish; X Yang; M McLaughlin; T W Thannhauser; S Gray
Journal:  J Biomol Tech       Date:  2009-09

7.  Changes in the accumulation of alpha- and beta-tubulin during bud development in Vitis vinifera L.

Authors:  Luigi Parrotta; Giampiero Cai; Mauro Cresti
Journal:  Planta       Date:  2009-11-13       Impact factor: 4.116

Review 8.  Global and site-specific analysis of protein glycosylation in complex biological systems with Mass Spectrometry.

Authors:  Haopeng Xiao; Fangxu Sun; Suttipong Suttapitugsakul; Ronghu Wu
Journal:  Mass Spectrom Rev       Date:  2019-01-03       Impact factor: 10.946

9.  Universal sample preparation method integrating trichloroacetic acid/acetone precipitation with phenol extraction for crop proteomic analysis.

Authors:  Xiaolin Wu; Erhui Xiong; Wei Wang; Monica Scali; Mauro Cresti
Journal:  Nat Protoc       Date:  2014-01-16       Impact factor: 13.491

10.  A Tomato Vacuolar Invertase Inhibitor Mediates Sucrose Metabolism and Influences Fruit Ripening.

Authors:  Guozheng Qin; Zhu Zhu; Weihao Wang; Jianghua Cai; Yong Chen; Li Li; Shiping Tian
Journal:  Plant Physiol       Date:  2016-09-30       Impact factor: 8.340

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