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Cheol Woo Min
Cheol Woo Min
Bestätigte E-Mail-Adresse bei pusan.ac.kr
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In-depth proteomic analysis of Glycine max seeds during controlled deterioration treatment reveals a shift in seed metabolism
CW Min, SH Lee, YE Cheon, WY Han, JM Ko, HW Kang, YC Kim, ...
Journal of Proteomics 169, 125-135, 2017
812017
Proteomics of Rice—Magnaporthe oryzae Interaction: What Have We Learned So Far?
Q Meng, R Gupta, CW Min, SW Kwon, Y Wang, BI Je, YJ Kim, JS Jeon, ...
Frontiers in Plant Science 10, 1383, 2019
522019
A Multi‐Omics Analysis of Glycine max Leaves Reveals Alteration in Flavonoid and Isoflavonoid Metabolism Upon Ethylene and Abscisic Acid Treatment
R Gupta, CW Min, K Kramer, GK Agrawal, R Rakwal, KH Park, Y Wang, ...
Proteomics 18 (7), 1700366, 2018
472018
Comparative investigation of seed coats of brown‐versus yellow‐colored soybean seeds using an integrated proteomics and metabolomics approach
R Gupta, CW Min, SW Kim, Y Wang, GK Agrawal, R Rakwal, SG Kim, ...
Proteomics 15 (10), 1706-1716, 2015
392015
Protamine sulfate precipitation method depletes abundant plant seed‐storage proteins: A case study on legume plants
YJ Kim, Y Wang, R Gupta, SW Kim, CW Min, YC Kim, KH Park, ...
Proteomics 15 (10), 1760-1764, 2015
372015
A proteomic insight into the MSP1 and flg22 induced signaling in Oryza sativa leaves
Q Meng, R Gupta, CW Min, J Kim, K Kramer, Y Wang, SR Park, ...
Journal of proteomics 196, 120-130, 2019
352019
Concepts and strategies of soybean seed proteomics using the shotgun proteomics approach
CW Min, R Gupta, GK Agrawal, R Rakwal, ST Kim
Expert Review of Proteomics 16 (9), 795-804, 2019
322019
Identification of Msp1-induced signaling components in rice leaves by integrated proteomic and phosphoproteomic analysis
R Gupta, CW Min, YJ Kim, ST Kim
International Journal of Molecular Sciences 20 (17), 4135, 2019
322019
Coupling of gel-based 2-DE and 1-DE shotgun proteomics approaches to dig deep into the leaf senescence proteome of Glycine max
R Gupta, SJ Lee, CW Min, SW Kim, KH Park, DW Bae, BW Lee, ...
Journal of proteomics 148, 65-74, 2016
322016
An Integrated Biochemical, Proteomics, and Metabolomics Approach for Supporting Medicinal Value of Panax ginseng Fruits
SW Kim, R Gupta, SH Lee, CW Min, GK Agrawal, R Rakwal, JB Kim, IH Jo, ...
Frontiers in Plant Science 7, 994, 2016
322016
Label-free quantitative proteomic analysis of Panax ginseng leaves upon exposure to heat stress
SW Kim, R Gupta, CW Min, SH Lee, YE Cheon, QF Meng, JW Jang, ...
Journal of ginseng research 43 (1), 143-153, 2019
302019
Comparative biochemical and proteomic analyses of soybean seed cultivars differing in protein and oil content
CW Min, R Gupta, SW Kim, SE Lee, YC Kim, DW Bae, WY Han, BW Lee, ...
Journal of agricultural and food chemistry 63 (32), 7134-7142, 2015
282015
Metabolic Profiling-Based Evaluation of the Fermentative Behavior of Aspergillus oryzae and Bacillus subtilis for Soybean Residues Treated at Different …
H Hyeon, CW Min, K Moon, J Cha, R Gupta, SU Park, ST Kim, JK Kim
Foods 9 (2), 117, 2020
262020
TGFam‐Finder: a novel solution for target‐gene family annotation in plants
S Kim, K Cheong, J Park, MS Kim, J Kim, MK Seo, GY Chae, MJ Jang, ...
New Phytologist 227 (5), 1568-1581, 2020
222020
In-Depth Investigation of Low-Abundance Proteins in Matured and Filling Stages Seeds of Glycine max Employing a Combination of Protamine Sulfate Precipitation …
CW Min, J Park, JW Bae, GK Agrawal, R Rakwal, Y Kim, P Yang, ST Kim, ...
Cells 9 (6), 1517, 2020
212020
Ginseng (Panax sp.) proteomics: an update
SW Kim, SH Lee, CW Min, IH Jo, KH Bang, DY Hyun, GK Agrawal, ...
Applied Biological Chemistry 60, 311-320, 2017
192017
High-throughput proteome analysis reveals changes of primary metabolism and energy production under artificial aging treatment in Glycine max seeds
CW Min, YJ Kim, R Gupta, SW Kim, WY Han, JM Ko, HW Kang, WB Yoon, ...
Applied Biological Chemistry 59, 841-853, 2016
192016
Sound wave affects the expression of ethylene biosynthesis-related genes through control of transcription factors RIN and HB-1
JY Kim, HR Ahn, ST Kim, CW Min, SI Lee, JA Kim, SC Park, MJ Jeong
Plant Biotechnology Reports 10, 437-445, 2016
182016
A TMT-Based Quantitative Proteome Analysis to Elucidate the TSWV Induced Signaling Cascade in Susceptible and Resistant Cultivars of Solanum lycopersicum
R Gupta, CW Min, SW Kim, JS Yoo, AR Moon, AY Shin, SY Kwon, ST Kim
Plants 9 (3), 290, 2020
162020
TMT-based quantitative membrane proteomics identified PRRs potentially involved in the perception of MSP1 in rice leaves
CW Min, JW Jang, GH Lee, R Gupta, J Yoon, HJ Park, HS Cho, SR Park, ...
Journal of Proteomics 267, 104687, 2022
152022
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