Literature DB >> 22383626

Protein-protein interactions in plants.

Yoichiro Fukao1.   

Abstract

The study of protein-protein interactions (PPIs) is essential to uncover unknown functions of proteins at the molecular level and to gain insight into complex cellular networks. Affinity purification and mass spectrometry (AP-MS), yeast two-hybrid, imaging approaches and numerous diverse databases have been developed as strategies to analyze PPIs. The past decade has seen an increase in the number of identified proteins with the development of MS and large-scale proteome analyses. Consequently, the false-positive protein identification rate has also increased. Therefore, the general consensus is to confirm PPI data using one or more independent approaches for an accurate evaluation. Furthermore, identifying minor PPIs is fundamental for understanding the functions of transient interactions and low-abundance proteins. Besides establishing PPI methodologies, we are now seeing the development of new methods and/or improvements in existing methods, which involve identifying minor proteins by MS, multidimensional protein identification technology or OFFGEL electrophoresis analyses, one-shot analysis with a long column or filter-aided sample preparation methods. These advanced techniques should allow thousands of proteins to be identified, whereas in-depth proteomic methods should permit the identification of transient binding or PPIs with weak affinity. Here, the current status of PPI analysis is reviewed and some advanced techniques are discussed briefly along with future challenges for plant proteomics.

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Year:  2012        PMID: 22383626     DOI: 10.1093/pcp/pcs026

Source DB:  PubMed          Journal:  Plant Cell Physiol        ISSN: 0032-0781            Impact factor:   4.927


  14 in total

1.  A rapid, efficient, and low-cost BiFC protocol and its application in studying in vivo interaction of seed-specific transcription factors, RISBZ and RPBF.

Authors:  Tanika Thakur; Nishu Gandass; Kajal Mittal; Pallavi Jamwal; Mehanathan Muthamilarasan; Prafull Salvi
Journal:  Funct Integr Genomics       Date:  2021-08-26       Impact factor: 3.410

2.  DWPPI: A Deep Learning Approach for Predicting Protein-Protein Interactions in Plants Based on Multi-Source Information With a Large-Scale Biological Network.

Authors:  Jie Pan; Zhu-Hong You; Li-Ping Li; Wen-Zhun Huang; Jian-Xin Guo; Chang-Qing Yu; Li-Ping Wang; Zheng-Yang Zhao
Journal:  Front Bioeng Biotechnol       Date:  2022-03-21

3.  Genome-wide comparative analysis of Mg transporter gene family between Triticum turgidum and Camelina sativa.

Authors:  Sahar Faraji; Mostafa Ahmadizadeh; Parviz Heidari
Journal:  Biometals       Date:  2021-03-30       Impact factor: 2.949

4.  New Insights Into Structure and Function of TIFY Genes in Zea mays and Solanum lycopersicum: A Genome-Wide Comprehensive Analysis.

Authors:  Parviz Heidari; Sahar Faraji; Mostafa Ahmadizadeh; Sunny Ahmar; Freddy Mora-Poblete
Journal:  Front Genet       Date:  2021-05-12       Impact factor: 4.599

5.  Rule-Based Design of Plant Expression Vectors Using GenoCAD.

Authors:  Anna Coll; Mandy L Wilson; Kristina Gruden; Jean Peccoud
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

6.  Expression of a translationally fused TAP-tagged plasma membrane proton pump in Arabidopsis thaliana.

Authors:  Rachel B Rodrigues; Gregorz Sabat; Benjamin B Minkoff; Heather L Burch; Thao T Nguyen; Michael R Sussman
Journal:  Biochemistry       Date:  2014-01-15       Impact factor: 3.162

7.  Protocol: an improved and universal procedure for whole-mount immunolocalization in plants.

Authors:  Taras Pasternak; Olaf Tietz; Katja Rapp; Maura Begheldo; Roland Nitschke; Benedetto Ruperti; Klaus Palme
Journal:  Plant Methods       Date:  2015-10-28       Impact factor: 4.993

8.  Visualizing protein-protein interactions in plants by rapamycin-dependent delocalization.

Authors:  Joanna Winkler; Evelien Mylle; Andreas De Meyer; Benjamin Pavie; Julie Merchie; Peter Grones; Dani L Van Damme
Journal:  Plant Cell       Date:  2021-05-31       Impact factor: 11.277

9.  Genome-Wide Analysis of Potassium Channel Genes in Rice: Expression of the OsAKT and OsKAT Genes under Salt Stress.

Authors:  Zahra Musavizadeh; Hamid Najafi-Zarrini; Seyed Kamal Kazemitabar; Seyed Hamidreza Hashemi; Sahar Faraji; Gianni Barcaccia; Parviz Heidari
Journal:  Genes (Basel)       Date:  2021-05-20       Impact factor: 4.096

10.  Mitogen Activated Protein Kinase (MPK) Interacts With Auxin Influx Carrier (OsAux/LAX1) Involved in Auxin Signaling in Plant.

Authors:  Tapan Kumar Mohanta; Nibedita Mohanta; Pratap Parida; Hanhong Bae
Journal:  Biol Proced Online       Date:  2015-10-30       Impact factor: 3.244

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