Literature DB >> 21080489

Organelle proteomics experimental designs and analysis.

Laurent Gatto1, Juan Antonio Vizcaíno, Henning Hermjakob, Wolfgang Huber, Kathryn S Lilley.   

Abstract

In biology, localisation is function: knowledge of the localisation of proteins is of paramount importance to assess and study their function. This supports the need for reliable protein sub-cellular localisation assignment. Concomitant with recent technological advances in organelle proteomics, there is a requirement for more rigorous experimental and analysis design planning and description. In this review, we present an overview of current experimental designs in qualitative and quantitative organelle proteomics as well as associated data analysis. We also consider the major benefits associated with careful description and dissemination of the experiment and analysis designs, namely (i) comparison and optimisation of experimental designs and analysis pipelines, (ii) data validation, (iii) reproducible research, (iv) efficient repository submission and retrieval and (v) meta analysis. Formalization of experimental design and analysis work flows is of direct benefit for the organelle proteomics researchers and will result in providing organelle localisation data of highest quality for the wider research community.
Copyright © 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Mesh:

Year:  2010        PMID: 21080489     DOI: 10.1002/pmic.201000244

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


  26 in total

Review 1.  Bioanalysis of eukaryotic organelles.

Authors:  Chad P Satori; Michelle M Henderson; Elyse A Krautkramer; Vratislav Kostal; Mark D Distefano; Mark M Distefano; Edgar A Arriaga
Journal:  Chem Rev       Date:  2013-04-10       Impact factor: 60.622

2.  A Portrait of the Human Organelle Proteome In Space and Time during Cytomegalovirus Infection.

Authors:  Pierre M Jean Beltran; Rommel A Mathias; Ileana M Cristea
Journal:  Cell Syst       Date:  2016-09-15       Impact factor: 10.304

3.  Isolation of functional mitochondria from rat kidney and skeletal muscle without manual homogenization.

Authors:  Vera S Gross; Heather K Greenberg; Sergei V Baranov; Greta M Carlson; Irina G Stavrovskaya; Alexander V Lazarev; Bruce S Kristal
Journal:  Anal Biochem       Date:  2011-07-22       Impact factor: 3.365

Review 4.  Review on recent advances in the analysis of isolated organelles.

Authors:  Chad P Satori; Vratislav Kostal; Edgar A Arriaga
Journal:  Anal Chim Acta       Date:  2012-10-01       Impact factor: 6.558

5.  Identification of Cargo for Adaptor Protein (AP) Complexes 3 and 4 by Sucrose Gradient Profiling.

Authors:  Heidi Pertl-Obermeyer; Xu Na Wu; Jens Schrodt; Christina Müdsam; Gerhard Obermeyer; Waltraud X Schulze
Journal:  Mol Cell Proteomics       Date:  2016-07-01       Impact factor: 5.911

6.  A foundation for reliable spatial proteomics data analysis.

Authors:  Laurent Gatto; Lisa M Breckels; Thomas Burger; Daniel J H Nightingale; Arnoud J Groen; Callum Campbell; Nino Nikolovski; Claire M Mulvey; Andy Christoforou; Myriam Ferro; Kathryn S Lilley
Journal:  Mol Cell Proteomics       Date:  2014-05-20       Impact factor: 5.911

7.  A cell-based approach to the human proteome project.

Authors:  Neil L Kelleher
Journal:  J Am Soc Mass Spectrom       Date:  2012-09-14       Impact factor: 3.109

8.  Label-free protein quantification for plant Golgi protein localization and abundance.

Authors:  Nino Nikolovski; Pavel V Shliaha; Laurent Gatto; Paul Dupree; Kathryn S Lilley
Journal:  Plant Physiol       Date:  2014-08-13       Impact factor: 8.340

Review 9.  Bioinformatic Analysis of Temporal and Spatial Proteome Alternations During Infections.

Authors:  Matineh Rahmatbakhsh; Alla Gagarinova; Mohan Babu
Journal:  Front Genet       Date:  2021-07-02       Impact factor: 4.599

10.  Global subcellular characterization of protein degradation using quantitative proteomics.

Authors:  Mark Larance; Yasmeen Ahmad; Kathryn J Kirkwood; Tony Ly; Angus I Lamond
Journal:  Mol Cell Proteomics       Date:  2012-12-12       Impact factor: 5.911

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