Literature DB >> 34236663

Protein Subcellular Localization Prediction.

Elettra Barberis1,2, Emilio Marengo3,2, Marcello Manfredi4,5.   

Abstract

The elucidation of the subcellular localization of proteins is very important in order to deeply understand their functions. In fact, proteins activities are strictly correlated to the cellular compartment and microenvironment in which they are present.In recent years, several effective and reliable proteomics techniques and computational methods have been developed and implemented in order to identify the proteins subcellular localization. This process is often time-consuming and expensive, but the recent technological and bioinformatics progress allowed the development of more accurate and simple workflows to determine the localization, interactions, and functions of proteins.In the following chapter, a brief introduction on the importance of knowing subcellular localization of proteins will be presented. Then, sample preparation protocols, proteomic methods, data analysis strategies, and software for the prediction of proteins localization will be presented and discussed. Finally, the more recent and advanced spatial proteomics techniques will be shown.

Entities:  

Keywords:  Protein subcellular localization prediction; Sample preparation protocols; Software for prediction; Spatial proteomics

Mesh:

Substances:

Year:  2021        PMID: 34236663     DOI: 10.1007/978-1-0716-1641-3_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  41 in total

1.  Convenient and versatile subcellular extraction procedure, that facilitates classical protein expression profiling and functional protein analysis.

Authors:  Afsaneh Abdolzade-Bavil; Scott Hayes; Lothar Goretzki; Michaela Kröger; Jonas Anders; Robertus Hendriks
Journal:  Proteomics       Date:  2004-05       Impact factor: 3.984

2.  A model for random sampling and estimation of relative protein abundance in shotgun proteomics.

Authors:  Hongbin Liu; Rovshan G Sadygov; John R Yates
Journal:  Anal Chem       Date:  2004-07-15       Impact factor: 6.986

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Authors:  J M Graham; T Ford; D Rickwood
Journal:  Anal Biochem       Date:  1990-06       Impact factor: 3.365

Review 4.  Isolation of endocitic organelles by density gradient centrifugation.

Authors:  Mariana Eça Guimarães de Araùjo; Lukas Alfons Huber; Taras Stasyk
Journal:  Methods Mol Biol       Date:  2008

5.  Adaptation of protein surfaces to subcellular location.

Authors:  M A Andrade; S I O'Donoghue; B Rost
Journal:  J Mol Biol       Date:  1998-02-20       Impact factor: 5.469

6.  Relation between amino acid composition and cellular location of proteins.

Authors:  J Cedano; P Aloy; J A Pérez-Pons; E Querol
Journal:  J Mol Biol       Date:  1997-02-28       Impact factor: 5.469

7.  Large-scale analysis of the yeast proteome by multidimensional protein identification technology.

Authors:  M P Washburn; D Wolters; J R Yates
Journal:  Nat Biotechnol       Date:  2001-03       Impact factor: 54.908

8.  Subcellular fractionation enhances proteome coverage of pancreatic duct cells.

Authors:  Joao A Paulo; Aleksandr Gaun; Vivek Kadiyala; Ali Ghoulidi; Peter A Banks; Darwin L Conwell; Hanno Steen
Journal:  Biochim Biophys Acta       Date:  2013-01-22

9.  Refining protein subcellular localization.

Authors:  Michelle S Scott; Sara J Calafell; David Y Thomas; Michael T Hallett
Journal:  PLoS Comput Biol       Date:  2005-11-25       Impact factor: 4.475

10.  Pea PSII-LHCII supercomplexes form pairs by making connections across the stromal gap.

Authors:  Pascal Albanese; Roberto Melero; Benjamin D Engel; Alessandro Grinzato; Paola Berto; Marcello Manfredi; Angelica Chiodoni; Javier Vargas; Carlos Óscar Sánchez Sorzano; Emilio Marengo; Guido Saracco; Giuseppe Zanotti; Jose-Maria Carazo; Cristina Pagliano
Journal:  Sci Rep       Date:  2017-08-30       Impact factor: 4.379

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