2D-DIGE and fluorescence image analysis

Elisa ROBOTTI; Emilio MARENGO

doi:10.1007/978-1-4939-7268-5_3

2D-DIGE and fluorescence image analysis

Department of Science and Technological Innovation

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

2D-DIGE is still a very widespread technique in proteomics for the identification of panels of biomarkers, allowing to tackle with some important drawback of classical two-dimensional gel-electrophoresis. However, once 2D-gels are obtained, they must undergo a quite articulated multistep image analysis procedure before the final differential analysis via statistical mono- and multivariate methods. Here, the main steps of image analysis software are described and the most recent procedures reported in the literature are briefly presented.

Original language	English
Title of host publication	Methods in Molecular Biology
Publisher	Humana Press Inc.
Pages	25-39
Number of pages	15
Volume	1664
ISBN (Print)	978-1-4939-7267-8
DOIs	https://doi.org/10.1007/978-1-4939-7268-5_3
Publication status	Published - 2018

Keywords

DIGE
Differential analysis
Genetics
Image analysis
Image preprocessing
Molecular Biology
Spot detection and quantification
Spot matching
Warping

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10.1007/978-1-4939-7268-5_3

http://hdl.handle.net/11579/90443

Cite this

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title = "2D-DIGE and fluorescence image analysis",

abstract = "2D-DIGE is still a very widespread technique in proteomics for the identification of panels of biomarkers, allowing to tackle with some important drawback of classical two-dimensional gel-electrophoresis. However, once 2D-gels are obtained, they must undergo a quite articulated multistep image analysis procedure before the final differential analysis via statistical mono- and multivariate methods. Here, the main steps of image analysis software are described and the most recent procedures reported in the literature are briefly presented.",

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author = "Elisa ROBOTTI and Emilio MARENGO",

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doi = "10.1007/978-1-4939-7268-5\_3",

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AU - ROBOTTI, Elisa

AU - MARENGO, Emilio

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PY - 2018

Y1 - 2018

N2 - 2D-DIGE is still a very widespread technique in proteomics for the identification of panels of biomarkers, allowing to tackle with some important drawback of classical two-dimensional gel-electrophoresis. However, once 2D-gels are obtained, they must undergo a quite articulated multistep image analysis procedure before the final differential analysis via statistical mono- and multivariate methods. Here, the main steps of image analysis software are described and the most recent procedures reported in the literature are briefly presented.

AB - 2D-DIGE is still a very widespread technique in proteomics for the identification of panels of biomarkers, allowing to tackle with some important drawback of classical two-dimensional gel-electrophoresis. However, once 2D-gels are obtained, they must undergo a quite articulated multistep image analysis procedure before the final differential analysis via statistical mono- and multivariate methods. Here, the main steps of image analysis software are described and the most recent procedures reported in the literature are briefly presented.

KW - DIGE

KW - Differential analysis

KW - Genetics

KW - Image analysis

KW - Image preprocessing

KW - Molecular Biology

KW - Spot detection and quantification

KW - Spot matching

KW - Warping

KW - DIGE

KW - Differential analysis

KW - Genetics

KW - Image analysis

KW - Image preprocessing

KW - Molecular Biology

KW - Spot detection and quantification

KW - Spot matching

KW - Warping

UR - https://iris.uniupo.it/handle/11579/90443

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DO - 10.1007/978-1-4939-7268-5_3

M3 - Chapter

SN - 978-1-4939-7267-8

VL - 1664

SP - 25

EP - 39

BT - Methods in Molecular Biology

PB - Humana Press Inc.

ER -

2D-DIGE and fluorescence image analysis

Abstract

Keywords

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