Literature DB >> 25487722

Fourteen years of plant proteomics reflected in Proteomics: moving from model species and 2DE-based approaches to orphan species and gel-free platforms.

Jesus V Jorrín-Novo1, Jesus Pascual, Rosa Sánchez-Lucas, M Cristina Romero-Rodríguez, Manuel J Rodríguez-Ortega, Christof Lenz, Luis Valledor.   

Abstract

In this article, the topic of plant proteomics is reviewed based on related papers published in the journal Proteomics since publication of the first issue in 2001. In total, around 300 original papers and 41 reviews published in Proteomics between 2000 and 2014 have been surveyed. Our main objective for this review is to help bridge the gap between plant biologists and proteomics technologists, two often very separate groups. Over the past years a number of reviews on plant proteomics have been published . To avoid repetition we have focused on more recent literature published after 2010, and have chosen to rather make continuous reference to older publications. The use of the latest proteomics techniques and their integration with other approaches in the "systems biology" direction are discussed more in detail. Finally we comment on the recent history, state of the art, and future directions of plant proteomics, using publications in Proteomics to illustrate the progress in the field. The review is organized into two major blocks, the first devoted to provide an overview of experimental systems (plants, plant organs, biological processes) and the second one to the methodology.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Gel-based proteomics; Plant proteomics; Shotgun proteomics

Mesh:

Substances:

Year:  2015        PMID: 25487722     DOI: 10.1002/pmic.201400349

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


  27 in total

1.  De novo peptide sequencing by deep learning.

Authors:  Ngoc Hieu Tran; Xianglilan Zhang; Lei Xin; Baozhen Shan; Ming Li
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-18       Impact factor: 11.205

2.  Targeted Mass Spectrometry Analysis of Protein Phosphorylation by Selected Ion Monitoring Coupled to Parallel Reaction Monitoring (tSIM/PRM).

Authors:  Jesús Pascual; Saijaliisa Kangasjärvi
Journal:  Methods Mol Biol       Date:  2022

3.  Evolutionary Variation in MADS Box Dimerization Affects Floral Development and Protein Abundance in Maize.

Authors:  María Jazmín Abraham-Juárez; Amanda Schrager-Lavelle; Jarrett Man; Clinton Whipple; Pubudu Handakumbura; Courtney Babbitt; Madelaine Bartlett
Journal:  Plant Cell       Date:  2020-09-01       Impact factor: 11.277

4.  Proteomic analysis of apoplastic fluid of Coffea arabica leaves highlights novel biomarkers for resistance against Hemileia vastatrix.

Authors:  Leonor Guerra-Guimarães; Rita Tenente; Carla Pinheiro; Inês Chaves; Maria do Céu Silva; Fernando M H Cardoso; Sébastien Planchon; Danielle R Barros; Jenny Renaut; Cândido P Ricardo
Journal:  Front Plant Sci       Date:  2015-06-30       Impact factor: 5.753

5.  Gel-based proteomics in plants: time to move on from the tradition.

Authors:  Arun K Anguraj Vadivel
Journal:  Front Plant Sci       Date:  2015-05-27       Impact factor: 5.753

6.  Scientific standards and MIAPEs in plant proteomics research and publications.

Authors:  Jesús V Jorrín Novo
Journal:  Front Plant Sci       Date:  2015-06-30       Impact factor: 5.753

Review 7.  The role of proteomics in progressing insights into plant secondary metabolism.

Authors:  María J Martínez-Esteso; Ascensión Martínez-Márquez; Susana Sellés-Marchart; Jaime A Morante-Carriel; Roque Bru-Martínez
Journal:  Front Plant Sci       Date:  2015-07-07       Impact factor: 5.753

Review 8.  Emerging Genomic Tools for Legume Breeding: Current Status and Future Prospects.

Authors:  Manish K Pandey; Manish Roorkiwal; Vikas K Singh; Abirami Ramalingam; Himabindu Kudapa; Mahendar Thudi; Anu Chitikineni; Abhishek Rathore; Rajeev K Varshney
Journal:  Front Plant Sci       Date:  2016-05-02       Impact factor: 5.753

9.  The Proteomic Response of Arabidopsis thaliana to Cadmium Sulfide Quantum Dots, and Its Correlation with the Transcriptomic Response.

Authors:  Marta Marmiroli; Davide Imperiale; Luca Pagano; Marco Villani; Andrea Zappettini; Nelson Marmiroli
Journal:  Front Plant Sci       Date:  2015-12-16       Impact factor: 5.753

Review 10.  Proteomics and Metabolomics: Two Emerging Areas for Legume Improvement.

Authors:  Abirami Ramalingam; Himabindu Kudapa; Lekha T Pazhamala; Wolfram Weckwerth; Rajeev K Varshney
Journal:  Front Plant Sci       Date:  2015-12-24       Impact factor: 5.753

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