The updated publication list can be retrieved using the following link:
https://scholar.google.com/citations?user=tTIyhw8AAAAJ&hl=en
Publications in Refereed Journals
1. Poor P, Nawaz K, Gupta R, Ashfaque F, Khan MIR (2021) Involvement of ethylene in the regulation of heat stress tolerance in plants. Plant Cell Rep (In Press) (Impact Factor 3.825)
2. Min CW, Park J, Bae JW, Agrawal GK, Rakwal R, Kim Y, Yang P, Kim ST, Gupta R* (2020) In-Depth investigation of low-abundance proteins in matured and filling stages seeds of Glycine max employing a combination of protamine sulfate precipitation and TMT-based quantitative proteomic analysis. Cells 9, 1517 (Impact Factor 5.654)
3. Riyazuddin R, Verma R, Singh K, Nisha N, Keisham M, Bhati KK, Kim ST, Gupta R* (2020) Ethylene: A master regulator of salinity stress tolerance in plants. Biomolecules 10, 959 (Impact Factor 4.644)
4. Khan MI, Palakolanu SR, Chopra P, Rajurkar A, Gupta R, Iqbal N, Maheshwari C (2020) Improving drought tolerance in rice: Ensuring food security through multi-dimensional approaches. Physiol Plant (In Press) (Impact Factor 4.148)
5. Min CW, Hyeon H, Gupta R, Park J, Cheon YE, Lee GH, Jang JW, Ryu HW, Lee BW, Park SU, Kim YS, Kim JK, Kim ST (2020) Integrated proteomics and metabolomics analysis highlights correlative metabolite-protein networks in soybean seeds subjected to warm-water soaking. J. Agric. Food Chem. (In press) (Impact Factor 4.192)
6. Hyeon H, Min CW, Moon K, Cha J, Gupta R, Park SU, Kim ST, Kim JK (2020) Metabolic Profiling-Based Evaluation of the Fermentative Behavior of Aspergillus oryzae and Bacillus subtilis for Soybean Residues Treated at Different Temperatures. Foods 9 (2), 117 (Impact Factor 4.092)
7. Gupta R, Min CW, Kim SW, Yoo JS, Moon AR, Shin AY, Kwon SY, Kim ST (2020) A TMT-Based Quantitative Proteome Analysis to Elucidate the TSWV Induced Signaling Cascade in Susceptible and Resistant Cultivars of Solanum lycopersicum. Plants 9 (3), 290 (Impact Factor 2.762)
8. Wang Y, Wu J, Kim SG, Yoo JS, Gupta R, Je BI, Jeon JS, Jung KH, Kim YJ, Kang KY, Kim ST (2020) A modified transient gene expression protocol for subcellular protein localization analysis in rice. Plant Biotechnol Rep, 14, 131–138 (Impact Factor 1.462)
9. Min CW, Gupta R, Truong N Van, Bae JW, Ko JM, Lee BW, Kim ST (2020) A TMT-based quantitative proteomic analysis provides insights into the protein changes in the seeds of high-and low-protein content soybean cultivars. J. Plant Biotechol, 47 (3), 209-217.
10. Meng QF, Gupta R*, Min CW, Kwon SW, Wang Y, Je BI, Kim YJ, Jeon JS, Agrawal GK, Rakwal R, Kim ST (2019) Proteomics of Rice—Magnaporthe oryzae Interaction: What Have We Learned So Far? Frontiers Plant Sci. 10:1383 (Impact Factor 4.402)
11. Gupta R, Min CW, Kim YJ, Kim ST (2019) Identification of Msp1-induced signaling components in rice leaves by integrated proteomic and phosphoproteomic analysis. Int. J. Mol. Sci. 20, 4135 (Impact Factor 4.556)
12. Kim SW, Gupta R#, Min CW, Lee SH, Cheon YE, Meng QF, Jang JW, Hong CE, Lee JY, Jo IH, Kim ST (2019) Label-free quantitative proteomic analysis of Panax ginseng leaves upon exposure to heat stress. J. Ginseng Res. 43, 143-153 (Impact Factor 5.487)
13. Meng QF, Gupta R#, Min CW, Kim J, Kramer K, Wang Y, Finkemeier I, Kim ST (2019) A proteomic insight into the MSP1 and flg22 induced signaling in Oryza sativa leaves. J. Proteomics, 196, 120-130 (Impact Factor 3.509)
14. Min CW, Gupta R, Agrawal GK, Rakwal R, Kim ST (2019) Concepts and strategies of soybean seed proteomics using the shotgun proteomics approach. Expert Rev. Proteomics, 16, 95-804 (Impact Factor 3.614)
15. Min CW, Jung WY, Park HJ, Moon KB, Ko H, Sohn JH, Jeon JH, Kim HS, Gupta R, Kim ST, Cho HS (2019) Label-free quantitative proteomic analysis determines changes in amino acid and carbohydrate metabolism in three cultivars of Jerusalem artichoke tubers. Plant Biotechnol. Rep. 13(2), 111-122 (Impact Factor 1.462)
16. Sharma B, Gupta R, Sahoo D, Deswal R (2019) Purification of dual-functioning chitinases with hydrolytic and antifreeze activities from Hippophae rhamnoides seedlings. J. Proteins & Proteomics 10, 69-81
17. Gupta R, Min CW, Kramer K, Agrawal GK, Rakwal R, Wang Y, Park KH, Finkemeier I, Kim ST (2018) A Multi-omics Analysis of Glycine max Leaves Reveals Alteration in Flavonoid and Isoflavonoid Metabolism upon Ethylene and Abscisic acid Treatment. Proteomics, 18, 1700366. (Impact Factor 4.04)
18. Gupta R, Min CW, Meng QF, Agrawal GK, Rakwal R, Kim ST (2018) Comparative Phosphoproteome Analysis upon Ethylene and Abscisic acid Treatment in Glycine max Leaves. Plant Physiol. Biochem. 130, 173-180. (Impact Factor 3.404)
19. Meng QF, Gupta R, Kwon Soon Jae, Wang Y, Agrawal GK, Rakwal R, Park SR, Kim ST (2018) Transcriptomic analysis of Oryza sativa leaves reveals key changes in response to Magnaporthe oryzae MSP1. Plant Pathol. J. 34, 257-268 (Impact Factor 1.22)
20. Meng QF, Gupta R#, Min CW, Kim J, Kramer K, Wang Y, Finkemeier I, Kim ST (2018) Label-free quantitative proteome data associated with MSP1 and flg22 induced signaling in rice leaves. Data Brief 20, 204-209
21. Gupta R, Min CW, Meng QF, Agrawal GK, Rakwal R, Kim ST (2018) Phosphoproteome Data from Abscisic acid and Ethylene treated Glycine max leaves. Data Brief 20, 516-520
22. Gupta R, Kwon SY, Kim ST (2018) An insight into the tomato spotted wilt virus (TSWV), tomato and thrips interaction. Plant Biotechnol Rep. 12, 157-163 (Impact Factor 1.42)
23. Gupta R** (2017) Soybean seed: A treasure trove of bioactive compounds. J Microbiol Biotechnol Rep. 1(1): 5.
24. Rakwal R, Hayashi G, Shibato J, Deepak SA, Gundimeda S, Simha U, Padmanaban A, Gupta R, Han SI, Kim ST, Kubo A, Imanaka T, Fukumoto M, Agrawal GK, Shioda S (2017) Progress Toward Rice Seed OMICS in Low-Level Gamma Radiation Environment in Iitate Village, Fukushima. J Heredity, 109, 206-211. (Impact Factor 2.43)
25. Min CW, Lee SH, Cheon YE, Han WY, Ko JM, Kang HW, Kim YC, Agrawal GK, Rakwal R, Gupta R#, Kim ST (2017) Gel-based and gel-free proteome data associated with controlled deterioration treatment of Glycine max seeds. Data in Brief, 15, 449-453.
26. Lee SE, Gupta R, Jayaramaiah RH, Huh HH, Wang Y, Park SR, Kim ST (2017) Global transcriptome profiling of Xanthomonas oryzae pv. oryzae under in planta growth and in vitro culture conditions. Plant Pathol. J. 33(5), 458–466 (Impact Factor 1.22)
27. Ko MJ, Jayaramaiah RH, Gupta R, Kim SW, An JU, Wang Z, Li M, Kang NJ, Hong KP, Kang JS, Kim ST, Choi YW (2017) Evaluation of bioactive compounds in strawberry fruits by a targeted metabolomic approach. Hort. Sci. Technol. 35 (6), 805-819 (Impact Factor 0.589)
28. Gupta R** (2017) High abundance proteins: proteomer’s thorns in the flesh? J Proteomics Bioinform 10:7 (Impact Factor 1.57)
29. Min CW, Lee SH, Cheon YE, Han WY, Ko JM, Kang HW, Kim YC, Agrawal GK, Rakwal R, Gupta R#, Kim ST (2017) In-depth proteomic analysis of soybean (Glycine max) seeds during controlled deterioration treatment reveals a shift in seed metabolism. J Proteomics. 169, 125-135 (Impact Factor 3.9)
30. Ghatak A, Chaturvedi P, Paul P, Agrawal GK, Rakwal R, Kim ST, Weckwerth W, Gupta R** (2017) Proteomics survey of Solanaceae family: Current status and challenges ahead. J Proteomics. 169:41-57 (Impact Factor 3.9)
31. Kim SW, Lee SH, Min CW, Jo IH, Bang KH, Hyun DY, Agrawal GK, Rakwal R, Zargar SM, Gupta R#, Kim ST (2017) Ginseng (Panax sp.) proteomics: an update. Appl. Biol. Chem., 60 (3), 311-320 (Impact Factor 0.75)
32. Wu J, Wang Y, Kim SG, Kang KY, Jung KH, Gupta R, Kim J, Park Y, Kim ST (2017) A secreted chitinase-like protein (OsCLP) supports root growth through calcium signaling in Oryza sativa. Physiol. Plant. 161(2):273–284 (Impact Factor 3.33)
33. Sharma S, Gupta R, Deswal R (2017) Dioscorea alata tuber proteome analysis shows over thirty dioscorin isoforms and novel tuber proteins. Plant Physiol. Biochem. 114, 128-137. (Impact Factor 2.72)
34. Wang Y, Gupta R*, Song W, Huh HH, Lee SE, Wu J, Agrawal GK, Rakwal R, Kang KY, Park SR, Kim ST (2017) Label-free quantitative secretome analysis of Xanthomonas oryzae pv. oryzae highlights the involvement of a novel cysteine protease in its pathogenicity. J Proteomics. 169, 202-214 (Impact Factor 3.9)
35. Lee SH, Gupta R*, Kim YJ, Min CW, Kim SW, Seo WD, Kim ST (2016) Proteomic analysis indicates activation of reactive oxygen species signaling during seed germination and seedlings growth in Hordeum vulgare (Barley). J. Proteins & Proteomics 7 (4)
36. Gupta R, Deswal R (2016) Identification and functional annotation of apoplastic phosphoproteins of Hippophae rhamnoides seedlings. J. Proteins & Proteomics 7 (4)
37. Sharma B, Gupta R, Deswal R (2016) Mining the protein repertoire of a Himalayan shrub, Hippophae rhamnoides for antifreeze proteins. J. Proteins & Proteomics 7 (3)
38. Min CW, Kim YJ, Gupta R, Kim SW, Han WY, Ko JM, Kang HW, Yoon WB, Choung MG, Kim YC, Kim ST (2016) High-throughput proteome analysis reveals changes of primary metabolism and energy production under artificial aging treatment in Glycine max seeds. Appl. Biol. Chem. 59 (6), 841-853 (Impact Factor 0.75)
39. Wu J, Wang Y, Park SY, Kim SG, Yoo JS, Park S, Gupta R, Kang KY, Kim ST (2016) Secreted Alpha-N-Arabinofuranosidase B Protein Is Required for the Full Virulence of Magnaporthe oryzae and Triggers Host Defences. PloS one 11 (10), e0165149. (Impact Factor 2.8)
40. Gupta R, Lee SJ, Min CW, Kim SW, Park KH, Bae DW, Lee BW, Agrawal GK, Rakwal R, Kim ST (2016) Coupling of gel-based 2-DE and 1-DE shotgun proteomics approaches to dig deep into the leaf senescence proteome of Glycine max. J Proteomics 148: 65-74. (Impact Factor 3.9)
41. Gupta R, Lee SJ, Min CW, Kim SW, Park KH, Bae DW, Lee BW, Agrawal GK, Rakwal R, Kim ST (2016) Proteome Data Associated with the Leaf Senescence in Glycine max. Data in Brief. 9, 90-95.
42. Wu J, Kim SG, Kang KY, Kim JG, Park SR, Gupta R, Wang Y, Kim ST (2016) Overexpression of a PATHOGENESIS-RELATED PROTEIN 10 enhances biotic and abiotic stress tolerance in rice. Plant Pathol. J. 32, 552-562 (Impact Factor 1.22)
43. Gupta R, Min CW, Wang Y, Kim YC, Agrawal GK, Rakwal R, Kim ST (2016) Expect the Unexpected Enrichment of “Hidden Proteome” of Seeds and Tubers by Depletion of Storage Proteins. Frontiers Plant Sci. 7:22. (Impact Factor 4.3)
44. Kim SW, Gupta R, Lee SH, Min CW, Agrawal GK, Rakwal R, Kim JB, Jo IH, Park SY, Kim JW, Kim YC, Kim ST (2016) An Integrated Biochemical, Proteomics and Metabolomics Approach for Supporting Medicinal Value of Panax ginseng Fruits. Frontiers Plant Sci. 7:994. (Impact Factor 4.3)
45. Lee JY, Beom HR, Altenbach SB, Lim SH, Kim YT, Kang CS, Yoon UH, Gupta R, Kim ST, Ahn SN, Kim YM (2016) Comprehensive identification of LMW-GS genes and their protein products in a common wheat variety. Funct. Integr. Genomics 16 (3), 269-279. (Impact Factor 3.5)
46. Park S, Gupta R, Krishna R, Kim ST, Lee DY, Hwang D, Bae SC, Ahn IP (2016) Proteome Analysis of Disease Resistance against Ralstonia solanacearum in Potato Cultivar CT206-10. Plant Pathol. J. 32 (1), 25-32. (Impact Factor 1.22)
47. Wang Y, Wu J, Kim SG, Tsuda K, Gupta R, Park SY, Kim ST, Kang KY (2016) Magnaporthe oryzae-Secreted Protein MSP1 Induces Cell Death and Elicits Defense Responses in Rice. Mol. Plant Microbe Interact. 29, 299-312 (Impact Factor 4.33)
48. Zhang H, He D, Yu J, Li M, Damaris RN, Gupta R, Kim ST, Yang P (2016) Analysis of dynamic protein carbonylation in rice embryo during germination through AP‐ SWATH. Proteomics 16 (6), 989-1000 (Impact Factor 4.04)
49. Min CW, Gupta R, Kim SW, Lee SE, Kim YC, Bae DW, Han WY, Lee BW, Ko JM, Agrawal GK, Rakwal R, Kim ST (2015) Comparative Biochemical and Proteomic Analyses of Soybean Seed Cultivars Differing in Protein and Oil Content. J. Agri. Food Chem. 63 (32), 7134-7142. (Impact Factor 2.85)
50. Gupta R, Kim SW, Min CW, Sung GH, Agrawal GK, Rakwal R, Jo IH, Bang KH, Kim YC, Kim KH, Kim ST (2015) Development of a Simple and Reproducible Method for Removal of Contaminants from Ginseng Protein Samples Prior to Proteomics Analysis. J. Life Sci. 25 (7), 826-832. (Impact Factor 0.396)
51. Wang Y, Wu J, YW Choi, Choi IS, Kim YC, Gupta R, Kim ST (2015) Expression Analysis of Oryza sativa Ascorbate Peroxidase 1 (OsAPx1) in Response to Different Phytohormones and Pathogens. J. Life Sci. 25 (10), 1091-1097 (Impact Factor 0.396)
52. Lee HM, Gupta R*, Kim SH, Wang Y, Rakwal R, Agrawal GK, Kim ST (2015) Abundant storage protein depletion from tuber proteins using ethanol precipitation method: Suitability to proteomics study. Proteomics 15 (10), 1765-1769 (Impact Factor 4.07)
53. Gupta R, Lee SE, Agrawal GK, Rakwal R, Park S, Wang Y Kim ST (2015) Understanding the plant-pathogen interactions in the context of proteomics-generated apoplastic proteins inventory. Frontiers Plant Sci. 6:352 (Impact Factor 4.5)
54. Gupta R, Wang Y, Agrawal GK, Rakwal R, Jo IH, Bang KH, Kim ST (2015) Time to dig deep into the plant proteome: a hunt for low-abundance proteins. Frontiers Plant Sci. 6:22. (Impact Factor 4.5)
55. Yin X, He D, Gupta R, Yang P (2015) Physiological and proteomic analyses on artificially aged Brassica napus seed. Frontiers Plant Sci. 6:112. (Impact factor 4.5)
56. Gupta R, Min CW, Kim SW, Wang Y, Agrawal GK, Rakwal R, Kim SG, Lee BW, Ko JM, Back IY, Bae DW, Kim ST (2015) Comparative investigation of seed coats of brown- versus yellow-colored soybean seeds using an integrated proteomics and metabolomics approach. Proteomics 15 (10), 1706-1716. (Impact Factor 4.07)
57. Kim YJ, Wang Y, Gupta R, Kim SW, Min CW, Kim YC, Park KH, Agrawal GK, Rakwal R, Choung MG, Kang KY, Kim ST (2015) Protamine sulfate precipitation method depletes abundant plant seed-storage proteins: A case study on legume plants. Proteomics 15 (10), 1760-1764. (Impact Factor 4.07)
58. Lee HM, Park YH, Jun TH, Kwon SW, Choi IS, Kim YC, Gupta R, Chung MN, Kim SH, Yang P, Wang Y, Kim ST (2015) Direct sequencing of RAPD products provides a set of SCAR markers for discrimination of sweet potato cultivars. Plant Omics 8:195-200. (Impact factor 0.78)
59. Kim SW, Min CW, Gupta R, Jo IH, Bang KH, Kim YC, Kim KH, Kim ST (2014) Proteomics Analysis of Early Salt-Responsive Proteins in Ginseng (Panax ginseng C. A. Meyer) Leaves. Korean J. Medicinal Crop Sci. 22(5):398-404.
60. Gupta R, Deswal R (2014) Antifreeze proteins enable plants to survive in freezing conditions. J. Biosciences 39:1-14. (Impact Factor 2.06)
61. Deswal R, Abat JK, Sehrawat A, Gupta R, Kashyap P, Sharma S, Sharma B, Chaurasia SP, Chanu SY, Masi A, Agrawal GK, Sarkar A, Agrawal R, Dunn MJ, Renaut J, Rakwal R (2014) First Systematic Plant Proteomics Workshop in Botany Department, University of Delhi: Transferring Proteomics Knowledge to Next-generation Researchers and Students. Proteomics 14; 13-14. (Impact Factor 3.81)
62. Gupta R and Deswal R (2014) Refolding of β-stranded Class I Chitinases of Hippophae rhamnoides enhances the antifreeze activity during cold acclimation. PLOS One 9 (3), e91723. (Impact Factor 3.23)
63. Deswal R, Gupta R, Dogra V, Singh R, Abat JK, Sarkar A, Mishra Y, Rai V, Sreenivasulu Y, Amalraj RS, Raorane M, Chaudhary RP, Kohli A, Giri AP, Chakraborty N, Zargar SM, Agrawal VP, Agrawal GK, Job D, Renaut J, Rakwal R (2013) Plant Proteomics in India and Nepal: Current status and challenges ahead. Physiol. Mol. Biol. Plants 19(4):461–477.
64. Sehrawat A Gupta R*, and Deswal R (2013) Nitric oxide-cold stress signaling cross talk-a potential treasure-trove for crop improvement. Proteomics. 13, 1816–1835. (Impact Factor 3.97)
65. Talwar PS, Gupta R, Maurya AK and Deswal R (2012) Brassica juncea nitric oxide synthase like activity is stimulated by PKC activators and calcium suggesting modulation by PKC-like kinase. Plant Physiol. Biochem. 60, 157-64. (Impact Factor 2.775)
66. Gupta R and Deswal R (2012) Low temperature induced secretome analyses and purification of antifreeze protein from Hippophae rhamnoides, a Himalayan wonder plant. J. Proteome Res. 11, 2684-2696. (Impact Factor 5.056)
Publications in Non-Refereed Journals
1. Sharma B, Gupta R and Deswal R (2013). Seabuckthorn-The New Age Sanjeevani. The Botanica. Vol. 62-63: 44-52 (ISSN: 0045-2629).
Book Chapters
1. Khatri N, Meng Q, Kim ST, Gupta R** (2021) Unraveling the molecular mechanism of Magnaporthe oryzae induced signaling cascade in rice. In: Giri B., Sharma M.P. (eds) pp 363-377. Plant Stress Biology. Springer, Singapore. https://doi.org/10.1007/978-981-15-9380-2_12
2. Gupta R, Kim YJ, Kim ST (2020) A Protocol for the Plasma Membrane Proteome Analysis of Rice Leaves. Eds. Jorrin-Novo J., Valledor L., Castillejo M., Rey MD. Plant Proteomics, Methods in Molecular Biology, Humana, New York, NY (ISBN: 9781071605288).
3. Gupta R**, Min CW, Kim YC, Agrawal GK, Rakwal R, Kim ST (2017) Proteomics of Seed Development: A Case Study of Rice and Soybean. Plant OMICS and Crop Breeding. Eds. Sajad Majeed Zargar, Vandna Rai, Apple Academic Press (ISBN: 9781315365930).
4. Gupta R and Kim ST (2015) Depletion of RuBisCO protein using the protamine sulfate precipitation method. Proteomic Profiling: Methods and Protocols (Clifton, N.J.) Humana, New York, NY (ISBN: 9781071605288).
5. Sarkar A, Islam MT, Zargar SM, Dogra V, Kim ST, Gupta R, Deswal R, Bagler G, Sreenivasulu Y, Waditee-Sirisattha R, Sirisattha S, Rohila JS, Raorane M, Kohli A, Kim DW, Saidajan AA, Agrawal GK and Rakwal R (2014) Proteomics Potential and Contribution towards Sustainable Agriculture. Agroecology, Ecosystems, and Sustainability by B. Noureddine, CRC Press (ISBN: 9780429159374).
6. Gupta R and Deswal R (2014) Proteomic Characterization of the Cold Traits in Seabuckthorn. Seabuckthorn-A multipurpose wonder plant, Volume V pp 202-211, by Virendra Singh, Daya Publishing House/Astral International (ISBN: 9789351248798).
7. Gupta R, Deswal R (2014) Proteomics analysis to decipher cold traits in seabuckthorn. Seabuckthorn. Research for a promising crop: A look at recent developments, Volume 1 pp 190, by Jörg-Thomas Mörsel, Yury Zubarev, David Eagle, BoD–Books on Demand (ISBN: 9783732299867).
8. Bansal PS, Gupta R and Deswal R (2010) Calmodulin, calmodulin binding proteins and their roles in abiotic stresses. Current Trends in Plant Biology. 2010; 2:89-105, by PC Trivedi and SK Sopory, Aavishkar Publications (ISBN: 9788179103036).
*Co-first author; ** Corresponding author; #Co-Corresponding author
Papers Presented in the Conferences
1. Gupta R, Min CW, Kim ST (2018) Phosphoproteomic analysis of Glycine max leaves in response to ethylene and Abscisic treatment showed phosphorylation-mediated regulation of plasma membrane-localized transporters. Abstract for Poster presentation at International Symposium and Annual Meeting of the Korean Society of Applied Biological Chemistry, held at Jeju, Korea. (Received Best Poster Award)
2. Gupta R, Kim SW, Min CW, Jo IH, Bang KH, Hyun DY, Kim ST (2017) Label-free quantitative proteomic approach to investigate the effect of heat stress on Panax ginseng leaves. Abstract for Poster presentation at HUPO 2017 conference, held at Dublin, Ireland.
3. Gupta R, Min CW, Jayaramaiah RH, Agrawal GK, Rakwal R, Wang Y, Kramer K, Finkemeier I, Kim ST (2017) Proteometabolic analysis revealed changes in secondary and lipid metabolism upon ethylene and ABA treatments in Glycine max leaves. Abstract for Poster presentation at New Phytologist next generation scientist meeting, held at Norwich, United Kingdom.
4. Gupta R (2017) Proteomic Analysis to Search the Key Proteins involved in Differential Accumulation of Proteins and Oil in Soybean Seeds. Abstract for oral presentation at the winter conference of Korean Society of Plant Biology, held at Seoul, Korea.
5. Gupta R, Min CW, Jayaramaiah RH, Kim ST (2017) An integrated proteomics phosphoproteomics and metabolomics approach to investigate the Ethylene and Abscisic acid signaling in Glycine max Leaves. Abstract for oral presentation at the International Conference of Korean Society of Plant Biotechnology, held at Daejeon, Korea.
6. Gupta R (2017) Plant Proteomics and International Plant Proteomics Organization (INPPO): A roadmap toward future. Abstract for oral presentation at the International Conference of Korean Society of Applied Biological Chemistry, held at Busan, Korea.
7. Gupta R, Min CW, Jayaramaiah RH, Kim ST (2017) An integrated “multi-omics” approach to investigate the ethylene and Abscisic acid signaling in Glycine max leaves. Abstract for oral presentation at the International Conference of The Korean Society of Breeding Science, held at Daegu, Korea.
8. Gupta R, Wang Y, Min CW, Kim SW, Kim ST (2016) Label-Free Quantitative Proteomic Approach Highlights the Involvement of a Novel Cysteine Protease in Rice-Xanthomonas oryzae Interaction. Abstract for flash poster talk and poster presentation at 2nd International Plant Proteomics Organization, held at Bratislava, Slovakia.
9. Gupta R, Min CW, Kim SW, Agrawal GK, Rakwal R, Kim ST (2016) A novel approach to screen and identify the bioactive peptides from Glycine max seeds. Abstract for poster presentation at International Symposium and Annual Meeting of the Korean Society of Applied Biological Chemistry, held at Jeju, Korea.
10. Gupta R, Min CW, Agrawal GK, Rakwal R, Kim ST (2015) Exploring the “Hidden Proteome” of Glycine max seeds using an in-house developed novel approach. Abstract for Poster presentation at International Conference of the Korean Society of Molecular and Cellular Biology, held at Seoul, Korea.
11. Gupta R, Min CW, Kim SW, Agrawal GK, Rakwal R, Kim ST (2015) Development of a novel and reproducible method for analyzing the “Hidden Proteome” of plants. Abstract for Poster presentation at International Symposium and Annual Meeting of The Korean Society of Applied Biological Chemistry, held at Pyeongchang, Korea.
12. Gupta R, Lee SJ, Min CW, Kim SW, Agrawal GK, Rakwal R, Kim SG, Lee BW, Ko JM, Baek IY, Kim ST (2014) Proteomic and Metabolomic analysis revealed reduced isoflavone synthesis in seed coat of brown colored cultivar in comparison with yellow colored cultivar of Glycine max. Abstract for Poster presentation at The 3rd International GNU Symposium on Agrobiotechnology 2014, held at Jinju, Korea.
13. Kim SW, Gupta R, Min CW, Kwon SJ, Bang KH, Kim YC, Kim ST (2014) Development of a simple and rapid procedure for extraction of proteins from plant tissues: A case study of Ginseng. Abstract for Poster presentation at 1st International Plant Proteomics Organization (INPPO) Conference, held at Hamburg, Germany.
14. Gupta R and Deswal R (2013). Proteomic Analysis to Decipher Cold Traits in Seabuckthorn. Abstract for oral presentation at 6th International Seabuckthorn Conference, held at Potsdam, Germany.
15. Gupta R and Deswal R (2011). Cold/freeze modulated secretome analysis of Himalayan gold bush seabuckthorn (Hippophae rhamnoides) to fish out antifreeze proteins for crop improvement and food industry. Abstract for poster presentation at second India Proteomics Conference (IPCON2011) organized by Jawahar Lal Nehru University, Delhi, India.
16. Gupta R and Deswal R (2010) Optimization of protein extraction procedures from Hippophae rhamnoides for dissecting its cold tolerance. Abstract for poster presentation at “National conference on seabuckthorn- Promoting health and protecting environment”, organized by DIPAS, DRDO, Delhi, India
17. Gupta R and Deswal R (2010) Proteomic analysis of Hippophae rhamnoides seedlings to analyze antifreeze proteins. Abstract for oral presentation at “National conference on seabuckthorn-Emerging trends from production to consumption”, Palampur, Himachal Pradesh, India.
Patent applied:
Title: Method for efficient high-throughput protein purification of high abundant sporamine proteins and low abundant proteins from sweet potato roots using ethanol
Application Number: 10-2015-0089281
Applicant Names: Sun Tae Kim, Hye Min Lee, Chul Woo Min, So Wun Kim and Ravi Gupta.
Agency: Korean Intellectual Property Office (KIPO)
Image Source: Gupta et al. 2018