Literature DB >> 22997094

Identification of soybean proteins from a single cell type: the root hair.

Laurent Brechenmacher1, Tran Hong Nha Nguyen, Kim Hixson, Marc Libault, Joshua Aldrich, Ljiljana Pasa-Tolic, Gary Stacey.   

Abstract

Root hairs (RH) are a terminally differentiated single cell type, mainly involved in water and nutrient uptake from the soil. The soybean RH cell represents an excellent model for the study of single cell systems biology. In this study, we identified 5702 proteins, with at least two peptides, from soybean RH using an accurate mass and time tag approach, establishing a comprehensive proteome reference map of this single cell type. We also showed that trypsin is the most appropriate enzyme for soybean proteomic studies by performing an in silico digestion of the soybean proteome using different proteases. Although the majority of proteins identified in this study are involved in basal metabolism, the function of others are more related to RH formation/function and include proteins involved in nutrient uptake (transporters) or vesicular trafficking (cytoskeleton and ras-associated binding proteins). Interestingly, some of these proteins appear to be specifically detected in RH and constitute promising candidates for further studies to elucidate unique features of this single-cell model.
© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 22997094     DOI: 10.1002/pmic.201200160

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


  13 in total

Review 1.  Root hair development in the grasses: what we already know and what we still need to know.

Authors:  Marek Marzec; Michael Melzer; Iwona Szarejko
Journal:  Plant Physiol       Date:  2015-04-14       Impact factor: 8.340

2.  A comparative genomic and transcriptomic analysis at the level of isolated root hair cells reveals new conserved root hair regulatory elements.

Authors:  Zhenzhen Qiao; Lise Pingault; Prince Zogli; Micaela Langevin; Niccole Rech; Andrew Farmer; Marc Libault
Journal:  Plant Mol Biol       Date:  2017-07-07       Impact factor: 4.076

Review 3.  System approaches to study root hairs as a single cell plant model: current status and future perspectives.

Authors:  Md Shakhawat Hossain; Trupti Joshi; Gary Stacey
Journal:  Front Plant Sci       Date:  2015-05-19       Impact factor: 5.753

Review 4.  Decipher the Molecular Response of Plant Single Cell Types to Environmental Stresses.

Authors:  Mehrnoush Nourbakhsh-Rey; Marc Libault
Journal:  Biomed Res Int       Date:  2016-03-20       Impact factor: 3.411

5.  Comprehensive Comparative Genomic and Transcriptomic Analyses of the Legume Genes Controlling the Nodulation Process.

Authors:  Zhenzhen Qiao; Lise Pingault; Mehrnoush Nourbakhsh-Rey; Marc Libault
Journal:  Front Plant Sci       Date:  2016-01-29       Impact factor: 5.753

6.  Regulation of Small RNAs and Corresponding Targets in Nod Factor-Induced Phaseolus vulgaris Root Hair Cells.

Authors:  Damien Formey; José Ángel Martín-Rodríguez; Alfonso Leija; Olivia Santana; Carmen Quinto; Luis Cárdenas; Georgina Hernández
Journal:  Int J Mol Sci       Date:  2016-06-04       Impact factor: 5.923

Review 7.  Food Legumes and Rising Temperatures: Effects, Adaptive Functional Mechanisms Specific to Reproductive Growth Stage and Strategies to Improve Heat Tolerance.

Authors:  Kumari Sita; Akanksha Sehgal; Bindumadhava HanumanthaRao; Ramakrishnan M Nair; P V Vara Prasad; Shiv Kumar; Pooran M Gaur; Muhammad Farooq; Kadambot H M Siddique; Rajeev K Varshney; Harsh Nayyar
Journal:  Front Plant Sci       Date:  2017-10-04       Impact factor: 5.753

8.  Unleashing the potential of the root hair cell as a single plant cell type model in root systems biology.

Authors:  Zhenzhen Qiao; Marc Libault
Journal:  Front Plant Sci       Date:  2013-11-26       Impact factor: 5.753

9.  An Inventory of Nutrient-Responsive Genes in Arabidopsis Root Hairs.

Authors:  Jorge E Salazar-Henao; Wolfgang Schmidt
Journal:  Front Plant Sci       Date:  2016-03-01       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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