Literature DB >> 15880804

Spot overlapping in two-dimensional maps: a serious problem ignored for much too long.

Natascia Campostrini1, Liliana B Areces, Juri Rappsilber, Maria Chiara Pietrogrande, Francesco Dondi, Fabio Pastorino, Mirco Ponzoni, Pier Giorgio Righetti.   

Abstract

In the analysis of a neuroblastoma xenograft implanted in mice using two-dimensional maps, some 85 proteins were found to be up- or down-regulated (out of a total of 264 detected by a medium-sensitivity colloidal Coomassie stain). When these spots were eluted and analysed by mass spectrometry in a quadrupole time of flight mass spectrometer, a number of spots were found to be envelopes of different polypeptide chains. Out of a total of 74 proteins identified, 52 (71%) were found to be singlets, 14 (19%) were doublets, 6 (8%) were triplets, 1 was a quadruplet and 1 a quintuplet. Analysis of the DeltapI and DeltaMr of all species contained in a single gel segment eluted helped point out potential errors in protein identification. This was a unique case, in that very minute bioptic sample loads were applied to the gel. In normal cases, where sample loads of ca. 1 mg of total protein are applied and typically at least 1000 spots are visualised, the singlets will be the minority, rarely exceeding 30% of all spots analysed. The experimental data on the abundance of overlapping spots were in excellent agreement with theoretical data calculated on the basis of the statistical theory of spot overlapping, originally proposed by Davis and further developed by some of the authors. Ways and means for minimizing spot overlap and visualising a greater number of spots in a two-dimensional map are discussed.

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Year:  2005        PMID: 15880804     DOI: 10.1002/pmic.200401253

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


  24 in total

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2.  Precision proteomics: the case for high resolution and high mass accuracy.

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

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4.  The Whereabouts of 2D Gels in Quantitative Proteomics.

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Journal:  Methods Mol Biol       Date:  2021

5.  Proteomic analysis of seed filling in Brassica napus. Developmental characterization of metabolic isozymes using high-resolution two-dimensional gel electrophoresis.

Authors:  Martin Hajduch; Jill E Casteel; Katherine E Hurrelmeyer; Zhao Song; Ganesh Kumar Agrawal; Jay J Thelen
Journal:  Plant Physiol       Date:  2006-03-16       Impact factor: 8.340

Review 6.  A proteomics view of the molecular mechanisms and biomarkers of glaucomatous neurodegeneration.

Authors:  Gülgün Tezel
Journal:  Prog Retin Eye Res       Date:  2013-02-05       Impact factor: 21.198

7.  Optimization of large gel 2D electrophoresis for proteomic studies of skeletal muscle.

Authors:  Patrick W Reed; Allison Densmore; Robert J Bloch
Journal:  Electrophoresis       Date:  2012-04       Impact factor: 3.535

8.  A proteomics study of brassinosteroid response in Arabidopsis.

Authors:  Zhiping Deng; Xin Zhang; Wenqiang Tang; Juan A Oses-Prieto; Nagi Suzuki; Joshua M Gendron; Huanjing Chen; Shenheng Guan; Robert J Chalkley; T Kaye Peterman; Alma L Burlingame; Zhi-Yong Wang
Journal:  Mol Cell Proteomics       Date:  2007-09-11       Impact factor: 5.911

9.  Proteomic profiling of the rat hypothalamus.

Authors:  Amanda P Pedroso; Regina L H Watanabe; Kelse T Albuquerque; Mônica M Telles; Maria C C Andrade; Juliana D Perez; Maísa M Sakata; Mariana L Lima; Debora Estadella; Cláudia M O Nascimento; Lila M Oyama; José C Rosa; Dulce E Casarini; Eliane B Ribeiro
Journal:  Proteome Sci       Date:  2012-04-20       Impact factor: 2.480

10.  Proteomics identifies differentially expressed proteins in neonatal murine thymus compared with adults.

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Journal:  Proteome Sci       Date:  2012-11-08       Impact factor: 2.480

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