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For: Komatsu S, Kuji R, Nanjo Y, Hiraga S, Furukawa K. Comprehensive analysis of endoplasmic reticulum-enriched fraction in root tips of soybean under flooding stress using proteomics techniques. J Proteomics 2012;77:531-60. [PMID: 23041469 DOI: 10.1016/j.jprot.2012.09.032] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2012] [Revised: 09/05/2012] [Accepted: 09/24/2012] [Indexed: 01/12/2023]
Number Cited by Other Article(s)
1
Zhu Q, Han Y, Yang W, Zhu H, Li G, Xu K, Long M. Genome-wide identification and characterization of ADH gene family and the expression under different abiotic stresses in tomato (Solanum lycopersicum L.). Front Genet 2023;14:1186192. [PMID: 37727375 PMCID: PMC10506264 DOI: 10.3389/fgene.2023.1186192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 08/22/2023] [Indexed: 09/21/2023]  Open
2
Wang X, Komatsu S. Subcellular Proteomics to Elucidate Soybean Response to Abiotic Stress. PLANTS (BASEL, SWITZERLAND) 2023;12:2865. [PMID: 37571018 PMCID: PMC10421527 DOI: 10.3390/plants12152865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 08/01/2023] [Accepted: 08/02/2023] [Indexed: 08/13/2023]
3
Zhang K, Li Y, Huang T, Li Z. Potential application of TurboID-based proximity labeling in studying the protein interaction network in plant response to abiotic stress. FRONTIERS IN PLANT SCIENCE 2022;13:974598. [PMID: 36051300 PMCID: PMC9426856 DOI: 10.3389/fpls.2022.974598] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 07/28/2022] [Indexed: 06/15/2023]
4
Anani OA, Abel I, Olomukoro JO, Onyeachu IB. Insights to proteomics and metabolomics metal chelation in food crops. JOURNAL OF PROTEINS AND PROTEOMICS 2022;13:159-173. [PMID: 35754947 PMCID: PMC9208750 DOI: 10.1007/s42485-022-00090-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 05/02/2022] [Accepted: 05/30/2022] [Indexed: 11/24/2022]
5
Khan MN, Ahmed I, Ud Din I, Noureldeen A, Darwish H, Khan M. Proteomic insight into soybean response to flooding stress reveals changes in energy metabolism and cell wall modifications. PLoS One 2022;17:e0264453. [PMID: 35511817 PMCID: PMC9070951 DOI: 10.1371/journal.pone.0264453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 02/08/2022] [Indexed: 11/19/2022]  Open
6
Liu S, Ou Y, Li Y, Sulaiman K, Tao M, Shawky E, Tian J, Zhu W. Tandem mass tag-based proteomic analysis of endoplasmic reticulum proteins in mulberry leaves under ultraviolet-B and dark stress. PHYSIOLOGIA PLANTARUM 2022;174:e13667. [PMID: 35289407 DOI: 10.1111/ppl.13667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 02/13/2022] [Accepted: 03/06/2022] [Indexed: 06/14/2023]
7
Li S, Wang L, Li Y, Huang F, Yu H, Zhang Y, Li R, Chen Z, Wei N, Yu Z. Biodegradation of Di-n-butyl phthalate in rhizosphere and growth-promoting effect of Cucumis sativus Linn. by a novel Pseudomonas sp. DNB-S1. ECOTOXICOLOGY (LONDON, ENGLAND) 2021;30:1454-1464. [PMID: 33094413 DOI: 10.1007/s10646-020-02287-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/29/2020] [Indexed: 06/11/2023]
8
Endoplasmic Reticulum Subproteome Analysis Reveals Underlying Defense Mechanisms of Wheat Seedling Leaves under Salt Stress. Int J Mol Sci 2021;22:ijms22094840. [PMID: 34063651 PMCID: PMC8124925 DOI: 10.3390/ijms22094840] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 04/29/2021] [Accepted: 04/30/2021] [Indexed: 01/13/2023]  Open
9
Wang X, Komatsu S. Review: Proteomic Techniques for the Development of Flood-Tolerant Soybean. Int J Mol Sci 2020;21:E7497. [PMID: 33053653 PMCID: PMC7589014 DOI: 10.3390/ijms21207497] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 10/04/2020] [Accepted: 10/08/2020] [Indexed: 12/16/2022]  Open
10
Katam R, Shokri S, Murthy N, Singh SK, Suravajhala P, Khan MN, Bahmani M, Sakata K, Reddy KR. Proteomics, physiological, and biochemical analysis of cross tolerance mechanisms in response to heat and water stresses in soybean. PLoS One 2020;15:e0233905. [PMID: 32502194 PMCID: PMC7274410 DOI: 10.1371/journal.pone.0233905] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 05/14/2020] [Indexed: 01/11/2023]  Open
11
Wang X, Komatsu S. Isolation, Purity Assessment, and Proteomic Analysis of Endoplasmic Reticulum. Methods Mol Biol 2020;2139:117-131. [PMID: 32462582 DOI: 10.1007/978-1-0716-0528-8_9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
12
Liu Y, Wang D, He F, Wang J, Joshi T, Xu D. Phenotype Prediction and Genome-Wide Association Study Using Deep Convolutional Neural Network of Soybean. Front Genet 2019;10:1091. [PMID: 31824557 PMCID: PMC6883005 DOI: 10.3389/fgene.2019.01091] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 10/09/2019] [Indexed: 12/21/2022]  Open
13
Jhanzab HM, Razzaq A, Bibi Y, Yasmeen F, Yamaguchi H, Hitachi K, Tsuchida K, Komatsu S. Proteomic Analysis of the Effect of Inorganic and Organic Chemicals on Silver Nanoparticles in Wheat. Int J Mol Sci 2019;20:E825. [PMID: 30769865 PMCID: PMC6412406 DOI: 10.3390/ijms20040825] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 02/04/2019] [Accepted: 02/07/2019] [Indexed: 12/27/2022]  Open
14
Komatsu S, Hashiguchi A. Subcellular Proteomics: Application to Elucidation of Flooding-Response Mechanisms in Soybean. Proteomes 2018;6:E13. [PMID: 29495455 PMCID: PMC5874772 DOI: 10.3390/proteomes6010013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Revised: 02/13/2018] [Accepted: 02/23/2018] [Indexed: 02/06/2023]  Open
15
Wang X, Komatsu S. Proteomic approaches to uncover the flooding and drought stress response mechanisms in soybean. J Proteomics 2018;172:201-215. [PMID: 29133124 DOI: 10.1016/j.jprot.2017.11.006] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 10/13/2017] [Accepted: 11/08/2017] [Indexed: 12/20/2022]
16
Kosová K, Vítámvás P, Urban MO, Prášil IT, Renaut J. Plant Abiotic Stress Proteomics: The Major Factors Determining Alterations in Cellular Proteome. FRONTIERS IN PLANT SCIENCE 2018;9:122. [PMID: 29472941 PMCID: PMC5810178 DOI: 10.3389/fpls.2018.00122] [Citation(s) in RCA: 137] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Accepted: 01/23/2018] [Indexed: 05/19/2023]
17
Xavier A, Jarquin D, Howard R, Ramasubramanian V, Specht JE, Graef GL, Beavis WD, Diers BW, Song Q, Cregan PB, Nelson R, Mian R, Shannon JG, McHale L, Wang D, Schapaugh W, Lorenz AJ, Xu S, Muir WM, Rainey KM. Genome-Wide Analysis of Grain Yield Stability and Environmental Interactions in a Multiparental Soybean Population. G3 (BETHESDA, MD.) 2018;8:519-529. [PMID: 29217731 PMCID: PMC5919731 DOI: 10.1534/g3.117.300300] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Accepted: 11/21/2017] [Indexed: 02/06/2023]
18
Yin X, Komatsu S. Comprehensive analysis of response and tolerant mechanisms in early-stage soybean at initial-flooding stress. J Proteomics 2017;169:225-232. [PMID: 28137666 DOI: 10.1016/j.jprot.2017.01.014] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Revised: 01/17/2017] [Accepted: 01/23/2017] [Indexed: 12/31/2022]
19
Zadražnik T, Moen A, Egge-Jacobsen W, Meglič V, Šuštar-Vozlič J. Towards a better understanding of protein changes in common bean under drought: A case study of N-glycoproteins. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2017;118:400-412. [PMID: 28711789 DOI: 10.1016/j.plaphy.2017.07.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 06/19/2017] [Accepted: 07/04/2017] [Indexed: 06/07/2023]
20
Wang X, Komatsu S. Proteomic Analysis of Calcium Effects on Soybean Root Tip under Flooding and Drought Stresses. PLANT & CELL PHYSIOLOGY 2017;58:1405-1420. [PMID: 28586431 DOI: 10.1093/pcp/pcx078] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 05/18/2017] [Indexed: 06/07/2023]
21
Xia Q, Zhao Y, Wang J, Qiao W, Zhang D, Yin H, Xu D, Chen F. Proteomic analysis of cell cycle arrest and differentiation induction caused by ATPR, a derivative of all-trans retinoic acid, in human gastric cancer SGC-7901 cells. Proteomics Clin Appl 2017;11. [PMID: 28164444 DOI: 10.1002/prca.201600099] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2016] [Revised: 12/31/2016] [Accepted: 02/02/2017] [Indexed: 12/16/2022]
22
Wang X, Komatsu S. Improvement of Soybean Products Through the Response Mechanism Analysis Using Proteomic Technique. ADVANCES IN FOOD AND NUTRITION RESEARCH 2017;82:117-148. [PMID: 28427531 DOI: 10.1016/bs.afnr.2016.12.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
23
Ahmad P, Abdel Latef AAH, Rasool S, Akram NA, Ashraf M, Gucel S. Role of Proteomics in Crop Stress Tolerance. FRONTIERS IN PLANT SCIENCE 2016;7:1336. [PMID: 27660631 PMCID: PMC5014855 DOI: 10.3389/fpls.2016.01336] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2016] [Accepted: 08/18/2016] [Indexed: 05/21/2023]
24
Banaei-Asl F, Farajzadeh D, Bandehagh A, Komatsu S. Comprehensive proteomic analysis of canola leaf inoculated with a plant growth-promoting bacterium, Pseudomonas fluorescens, under salt stress. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2016;1864:1222-1236. [DOI: 10.1016/j.bbapap.2016.04.013] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2016] [Revised: 04/24/2016] [Accepted: 04/28/2016] [Indexed: 01/10/2023]
25
Yin X, Komatsu S. Nuclear Proteomics Reveals the Role of Protein Synthesis and Chromatin Structure in Root Tip of Soybean during the Initial Stage of Flooding Stress. J Proteome Res 2016;15:2283-98. [PMID: 27291164 DOI: 10.1021/acs.jproteome.6b00330] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
26
Wang X, Komatsu S. Gel-Free/Label-Free Proteomic Analysis of Endoplasmic Reticulum Proteins in Soybean Root Tips under Flooding and Drought Stresses. J Proteome Res 2016;15:2211-27. [PMID: 27224218 DOI: 10.1021/acs.jproteome.6b00190] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
27
Wang X, Komatsu S. Plant subcellular proteomics: Application for exploring optimal cell function in soybean. J Proteomics 2016;143:45-56. [PMID: 26808589 DOI: 10.1016/j.jprot.2016.01.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Revised: 01/06/2016] [Accepted: 01/13/2016] [Indexed: 01/11/2023]
28
Yasmeen F, Raja NI, Mustafa G, Sakata K, Komatsu S. Quantitative proteomic analysis of post-flooding recovery in soybean root exposed to aluminum oxide nanoparticles. J Proteomics 2016;143:136-150. [PMID: 27079982 DOI: 10.1016/j.jprot.2016.03.014] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Revised: 03/02/2016] [Accepted: 03/03/2016] [Indexed: 12/22/2022]
29
Latef AAHA, Jan S, Abd‐Allah EF, Rashid B, John R, Ahmad P. Soybean under abiotic stress. PLANT‐ENVIRONMENT INTERACTION 2016:28-42. [DOI: 10.1002/9781119081005.ch2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
30
Wang X, Oh M, Sakata K, Komatsu S. Gel-free/label-free proteomic analysis of root tip of soybean over time under flooding and drought stresses. J Proteomics 2016;130:42-55. [PMID: 26376099 DOI: 10.1016/j.jprot.2015.09.007] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Revised: 08/29/2015] [Accepted: 09/04/2015] [Indexed: 10/23/2022]
31
Rathi D, Gayen D, Gayali S, Chakraborty S, Chakraborty N. Legume proteomics: Progress, prospects, and challenges. Proteomics 2015;16:310-27. [DOI: 10.1002/pmic.201500257] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Revised: 09/19/2015] [Accepted: 11/05/2015] [Indexed: 11/10/2022]
32
Komatsu S, Tougou M, Nanjo Y. Proteomic Techniques and Management of Flooding Tolerance in Soybean. J Proteome Res 2015;14:3768-78. [PMID: 26234743 DOI: 10.1021/acs.jproteome.5b00389] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
33
Yin X, Komatsu S. Quantitative proteomics of nuclear phosphoproteins in the root tip of soybean during the initial stages of flooding stress. J Proteomics 2015;119:183-95. [PMID: 25724727 DOI: 10.1016/j.jprot.2015.02.004] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Revised: 02/09/2015] [Accepted: 02/12/2015] [Indexed: 12/28/2022]
34
Komatsu S, Sakata K, Nanjo Y. ‘Omics’ techniques and their use to identify how soybean responds to flooding. J Anal Sci Technol 2015. [DOI: 10.1186/s40543-015-0052-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]  Open
35
Oh M, Nanjo Y, Komatsu S. Gel-free proteomic analysis of soybean root proteins affected by calcium under flooding stress. FRONTIERS IN PLANT SCIENCE 2014;5:559. [PMID: 25368623 PMCID: PMC4202786 DOI: 10.3389/fpls.2014.00559] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2014] [Accepted: 09/29/2014] [Indexed: 05/25/2023]
36
Komatsu S, Kamal AHM, Makino T, Hossain Z. Ultraweak photon emission and proteomics analyses in soybean under abiotic stress. BIOCHIMICA ET BIOPHYSICA ACTA 2014;1844:1208-18. [PMID: 24726903 DOI: 10.1016/j.bbapap.2014.04.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2013] [Revised: 03/30/2014] [Accepted: 04/01/2014] [Indexed: 10/25/2022]
37
Hossain Z, Komatsu S. Potentiality of Soybean Proteomics in Untying the Mechanism of Flood and Drought Stress Tolerance. Proteomes 2014;2:107-127. [PMID: 28250373 PMCID: PMC5302732 DOI: 10.3390/proteomes2010107] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2013] [Revised: 02/26/2014] [Accepted: 02/27/2014] [Indexed: 11/17/2022]  Open
38
Komatsu S, Hiraga S, Nouri MZ. Analysis of flooding-responsive proteins localized in the nucleus of soybean root tips. Mol Biol Rep 2014;41:1127-39. [PMID: 24385303 DOI: 10.1007/s11033-013-2959-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2013] [Accepted: 12/21/2013] [Indexed: 12/11/2022]
39
Mustafa G, Komatsu S. Quantitative proteomics reveals the effect of protein glycosylation in soybean root under flooding stress. FRONTIERS IN PLANT SCIENCE 2014;5:627. [PMID: 25477889 PMCID: PMC4235293 DOI: 10.3389/fpls.2014.00627] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2014] [Accepted: 10/22/2014] [Indexed: 05/22/2023]
40
Komatsu S, Shirasaka N, Sakata K. 'Omics' techniques for identifying flooding-response mechanisms in soybean. J Proteomics 2013;93:169-78. [PMID: 23313220 DOI: 10.1016/j.jprot.2012.12.016] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2012] [Revised: 12/27/2012] [Accepted: 12/29/2012] [Indexed: 02/08/2023]
41
Komatsu S, Nanjo Y, Nishimura M. Proteomic analysis of the flooding tolerance mechanism in mutant soybean. J Proteomics 2013;79:231-50. [PMID: 23313221 DOI: 10.1016/j.jprot.2012.12.023] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2012] [Revised: 12/27/2012] [Accepted: 12/29/2012] [Indexed: 12/12/2022]
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