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Items: 1 to 50 of 147

1.

Phosphoproteome data from abscisic acid and ethylene treated Glycine max leaves.

Gupta R, Min CW, Meng Q, Jun TH, Agrawal GK, Rakwal R, Kim ST.

Data Brief. 2018 Aug 21;20:516-520. doi: 10.1016/j.dib.2018.08.037. eCollection 2018 Oct.

2.

Transcriptomic Analysis of Oryza sativa Leaves Reveals Key Changes in Response to Magnaporthe oryzae MSP1.

Meng Q, Gupta R, Kwon SJ, Wang Y, Agrawal GK, Rakwal R, Park SR, Kim ST.

Plant Pathol J. 2018 Aug;34(4):257-268. doi: 10.5423/PPJ.OA.01.2018.0008. Epub 2018 Aug 1.

3.

Comparative phosphoproteome analysis upon ethylene and abscisic acid treatment in Glycine max leaves.

Gupta R, Min CW, Meng Q, Agrawal GK, Rakwal R, Kim ST.

Plant Physiol Biochem. 2018 Sep;130:173-180. doi: 10.1016/j.plaphy.2018.07.002. Epub 2018 Jul 4.

PMID:
29990770
4.

Proteomic studies on lactic acid bacteria: A review.

Vinusha KS, Deepika K, Johnson TS, Agrawal GK, Rakwal R.

Biochem Biophys Rep. 2018 May 4;14:140-148. doi: 10.1016/j.bbrep.2018.04.009. eCollection 2018 Jul. Review.

5.

CfPDIP1, a novel secreted protein of Colletotrichum falcatum, elicits defense responses in sugarcane and triggers hypersensitive response in tobacco.

Ashwin NMR, Barnabas L, Ramesh Sundar A, Malathi P, Viswanathan R, Masi A, Agrawal GK, Rakwal R.

Appl Microbiol Biotechnol. 2018 Jul;102(14):6001-6021. doi: 10.1007/s00253-018-9009-2. Epub 2018 May 4.

PMID:
29728727
6.

A Multi-Omics Analysis of Glycine max Leaves Reveals Alteration in Flavonoid and Isoflavonoid Metabolism Upon Ethylene and Abscisic Acid Treatment.

Gupta R, Min CW, Kramer K, Agrawal GK, Rakwal R, Park KH, Wang Y, Finkemeier I, Kim ST.

Proteomics. 2018 Apr;18(7):e1700366. doi: 10.1002/pmic.201700366. Epub 2018 Mar 7.

PMID:
29457974
7.

Gel-based and gel-free proteome data associated with controlled deterioration treatment of Glycine max seeds.

Min CW, Lee SH, Cheon YE, Han WY, Ko JM, Kang HW, Kim YC, Agrawal GK, Rakwal R, Gupta R, Kim ST.

Data Brief. 2017 Oct 2;15:449-453. doi: 10.1016/j.dib.2017.09.056. eCollection 2017 Dec.

8.

Progress Toward Rice Seed OMICS in Low-Level Gamma Radiation Environment in Iitate Village, Fukushima.

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.

J Hered. 2018 Feb 14;109(2):206-211. doi: 10.1093/jhered/esx071.

PMID:
28992201
9.

In-depth proteomic analysis of Glycine max seeds during controlled deterioration treatment reveals a shift in seed metabolism.

Min CW, Lee SH, Cheon YE, Han WY, Ko JM, Kang HW, Kim YC, Agrawal GK, Rakwal R, Gupta R, Kim ST.

J Proteomics. 2017 Oct 3;169:125-135. doi: 10.1016/j.jprot.2017.06.022. Epub 2017 Jun 29.

PMID:
28669816
10.

Comparative secretome analysis of Colletotrichum falcatum identifies a cerato-platanin protein (EPL1) as a potential pathogen-associated molecular pattern (PAMP) inducing systemic resistance in sugarcane.

Ashwin NMR, Barnabas L, Ramesh Sundar A, Malathi P, Viswanathan R, Masi A, Agrawal GK, Rakwal R.

J Proteomics. 2017 Oct 3;169:2-20. doi: 10.1016/j.jprot.2017.05.020. Epub 2017 May 22.

PMID:
28546091
11.

Proteomics survey of Solanaceae family: Current status and challenges ahead.

Ghatak A, Chaturvedi P, Paul P, Agrawal GK, Rakwal R, Kim ST, Weckwerth W, Gupta R.

J Proteomics. 2017 Oct 3;169:41-57. doi: 10.1016/j.jprot.2017.05.016. Epub 2017 May 18. Review.

PMID:
28528990
12.

Aquaporins as potential drought tolerance inducing proteins: Towards instigating stress tolerance.

Zargar SM, Nagar P, Deshmukh R, Nazir M, Wani AA, Masoodi KZ, Agrawal GK, Rakwal R.

J Proteomics. 2017 Oct 3;169:233-238. doi: 10.1016/j.jprot.2017.04.010. Epub 2017 Apr 13. Review.

PMID:
28412527
13.

Common bean proteomics: Present status and future strategies.

Zargar SM, Mahajan R, Nazir M, Nagar P, Kim ST, Rai V, Masi A, Ahmad SM, Shah RA, Ganai NA, Agrawal GK, Rakwal R.

J Proteomics. 2017 Oct 3;169:239-248. doi: 10.1016/j.jprot.2017.03.019. Epub 2017 Mar 25. Review.

PMID:
28347863
14.

Label-free quantitative secretome analysis of Xanthomonas oryzae pv. oryzae highlights the involvement of a novel cysteine protease in its pathogenicity.

Wang Y, Gupta R, Song W, Huh HH, Lee SE, Wu J, Agrawal GK, Rakwal R, Kang KY, Park SR, Kim ST.

J Proteomics. 2017 Oct 3;169:202-214. doi: 10.1016/j.jprot.2017.02.012. Epub 2017 Feb 21.

PMID:
28232208
15.

In vitro secretomic analysis identifies putative pathogenicity-related proteins of Sporisorium scitamineum - The sugarcane smut fungus.

Barnabas L, Ashwin NMR, Kaverinathan K, Trentin AR, Pivato M, Sundar AR, Malathi P, Viswanathan R, Carletti P, Arrigoni G, Masi A, Agrawal GK, Rakwal R.

Fungal Biol. 2017 Mar;121(3):199-211. doi: 10.1016/j.funbio.2016.11.004. Epub 2016 Dec 8.

PMID:
28215348
16.

Methyl jasmonate elicits the biotransformation of geraniol stored as its glucose conjugate into methyl geranate in Achyranthes bidentata plant.

Tamogami S, Agrawal GK, Rakwal R.

Plant Physiol Biochem. 2016 Dec;109:166-170. doi: 10.1016/j.plaphy.2016.09.012. Epub 2016 Sep 17.

PMID:
27694012
17.

Proteome data associated with the leaf senescence in Glycine max.

Gupta R, Lee SJ, Min CW, Kim SW, Park KH, Bae DW, Lee BW, Agrawal GK, Rakwal R, Kim ST.

Data Brief. 2016 Aug 28;9:90-5. doi: 10.1016/j.dib.2016.08.045. eCollection 2016 Dec.

18.

Editorial: International Plant Proteomics Organization (INPPO) World Congress 2014.

Heazlewood JL, Jorrín-Novo JV, Agrawal GK, Mazzuca S, Lüthje S.

Front Plant Sci. 2016 Aug 5;7:1190. doi: 10.3389/fpls.2016.01190. eCollection 2016. No abstract available.

19.

Coupling of gel-based 2-DE and 1-DE shotgun proteomics approaches to dig deep into the leaf senescence proteome of Glycine max.

Gupta R, Lee SJ, Min CW, Kim SW, Park KH, Bae DW, Lee BW, Agrawal GK, Rakwal R, Kim ST.

J Proteomics. 2016 Oct 4;148:65-74. doi: 10.1016/j.jprot.2016.07.025. Epub 2016 Jul 27.

PMID:
27474340
20.

An Integrated Biochemical, Proteomics, and Metabolomics Approach for Supporting Medicinal Value of Panax ginseng Fruits.

Kim SW, Gupta R, Lee SH, Min CW, Agrawal GK, Rakwal R, Kim JB, Jo IH, Park SY, Kim JK, Kim YC, Bang KH, Kim ST.

Front Plant Sci. 2016 Jul 4;7:994. doi: 10.3389/fpls.2016.00994. eCollection 2016.

21.

Expect the Unexpected Enrichment of "Hidden Proteome" of Seeds and Tubers by Depletion of Storage Proteins.

Gupta R, Min CW, Wang Y, Kim YC, Agrawal GK, Rakwal R, Kim ST.

Front Plant Sci. 2016 Jun 1;7:761. doi: 10.3389/fpls.2016.00761. eCollection 2016.

22.

Proteomic analysis of a compatible interaction between sugarcane and Sporisorium scitamineum.

Barnabas L, Ashwin NM, Kaverinathan K, Trentin AR, Pivato M, Sundar AR, Malathi P, Viswanathan R, Rosana OB, Neethukrishna K, Carletti P, Arrigoni G, Masi A, Agrawal GK, Rakwal R.

Proteomics. 2016 Apr;16(7):1111-22. doi: 10.1002/pmic.201500245.

PMID:
26857420
23.

2D-DIGE-based proteome expression changes in leaves of rice seedlings exposed to low-level gamma radiation at Iitate village, Fukushima.

Hayashi G, Moro CF, Rohila JS, Shibato J, Kubo A, Imanaka T, Kimura S, Ozawa S, Fukutani S, Endo S, Ichikawa K, Agrawal GK, Shioda S, Hori M, Fukumoto M, Rakwal R.

Plant Signal Behav. 2015;10(12):e1103406. doi: 10.1080/15592324.2015.1103406.

24.

Quantitative proteomics reveals role of sugar in decreasing photosynthetic activity due to Fe deficiency.

Zargar SM, Agrawal GK, Rakwal R, Fukao Y.

Front Plant Sci. 2015 Aug 3;6:592. doi: 10.3389/fpls.2015.00592. eCollection 2015. No abstract available.

25.

Immature Seed Endosperm and Embryo Proteomics of the Lotus (Nelumbo Nucifera Gaertn.) by One-Dimensional Gel-Based Tandem Mass Spectrometry and a Comparison with the Mature Endosperm Proteome.

Moro CF, Fukao Y, Shibato J, Rakwal R, Agrawal GK, Shioda S, Kouzuma Y, Yonekura M.

Proteomes. 2015 Aug 14;3(3):184-235. doi: 10.3390/proteomes3030184.

26.

Comparative Biochemical and Proteomic Analyses of Soybean Seed Cultivars Differing in Protein and Oil Content.

Min CW, Gupta R, Kim SW, Lee SE, Kim YC, Bae DW, Han WY, Lee BW, Ko JM, Agrawal GK, Rakwal R, Kim ST.

J Agric Food Chem. 2015 Aug 19;63(32):7134-42. doi: 10.1021/acs.jafc.5b03196. Epub 2015 Aug 11.

PMID:
26237057
27.

Understanding the plant-pathogen interactions in the context of proteomics-generated apoplastic proteins inventory.

Gupta R, Lee SE, Agrawal GK, Rakwal R, Park S, Wang Y, Kim ST.

Front Plant Sci. 2015 Jun 2;6:352. doi: 10.3389/fpls.2015.00352. eCollection 2015. Review.

28.

Plant-based Foods: Seed, Nutrition and Human Health.

Luthje S, Deswal R, Agrawal GK.

Proteomics. 2015 May;15(10):1638. doi: 10.1002/pmic.201570083. No abstract available.

PMID:
25958834
29.

Gamma-glutamyl cycle in plants: a bridge connecting the environment to the plant cell?

Masi A, Trentin AR, Agrawal GK, Rakwal R.

Front Plant Sci. 2015 Apr 16;6:252. doi: 10.3389/fpls.2015.00252. eCollection 2015. No abstract available.

30.

Towards a common bean proteome atlas: looking at the current state of research and the need for a comprehensive proteome.

Zargar SM, Nazir M, Rai V, Hajduch M, Agrawal GK, Rakwal R.

Front Plant Sci. 2015 Mar 27;6:201. doi: 10.3389/fpls.2015.00201. eCollection 2015. No abstract available.

31.

INPPO2014, First INPPO World Congress on "Plant Proteomics: Methodology to Biology"-A global platform for involving, gathering and disseminating knowledge.

Lüthje S, Renaut J, Job D, Hajduch M, Carpentier S, Sarkar A, Agrawal R, Dunn MJ, Rakwal R, Agrawal GK.

Proteomics. 2015 May;15(10):1631-7. doi: 10.1002/pmic.201570084. Epub 2015 Apr 11.

PMID:
25865070
32.

Moving forward in plant food safety and security through NanoBioSensors: Adopt or adapt biomedical technologies?

Sharma TK, Ramanathan R, Rakwal R, Agrawal GK, Bansal V.

Proteomics. 2015 May;15(10):1680-92. doi: 10.1002/pmic.201400503. Epub 2015 Apr 17. Review.

PMID:
25727733
33.

Abundant storage protein depletion from tuber proteins using ethanol precipitation method: Suitability to proteomics study.

Lee HM, Gupta R, Kim SH, Wang Y, Rakwal R, Agrawal GK, Kim ST.

Proteomics. 2015 May;15(10):1765-9. doi: 10.1002/pmic.201400526. Epub 2015 Apr 13.

PMID:
25689267
34.

Time to dig deep into the plant proteome: a hunt for low-abundance proteins.

Gupta R, Wang Y, Agrawal GK, Rakwal R, Jo IH, Bang KH, Kim ST.

Front Plant Sci. 2015 Jan 30;6:22. doi: 10.3389/fpls.2015.00022. eCollection 2015. No abstract available.

35.

Quantitative proteomics of Arabidopsis shoot microsomal proteins reveals a cross-talk between excess zinc and iron deficiency.

Zargar SM, Kurata R, Inaba S, Oikawa A, Fukui R, Ogata Y, Agrawal GK, Rakwal R, Fukao Y.

Proteomics. 2015 Apr;15(7):1196-201. doi: 10.1002/pmic.201400467. Epub 2015 Mar 2.

PMID:
25641898
36.

Protamine sulfate precipitation method depletes abundant plant seed-storage proteins: A case study on legume plants.

Kim YJ, Wang Y, Gupta R, Kim SW, Min CW, Kim YC, Park KH, Agrawal GK, Rakwal R, Choung MG, Kang KY, Kim ST.

Proteomics. 2015 May;15(10):1760-4. doi: 10.1002/pmic.201400488. Epub 2015 Mar 9.

PMID:
25641780
37.

Methyl jasmonate elicits the production of methyl (E)-2-hexenoate from (Z)-2-hexenol via (Z)-2-hexenal in Achyranthes bidentata plant.

Tamogami S, Noge K, Agrawal GK, Rakwal R.

FEBS Lett. 2015 Jan 30;589(3):390-5. doi: 10.1016/j.febslet.2014.12.025. Epub 2015 Jan 6.

38.

Unraveling the seed endosperm proteome of the lotus (Nelumbo nucifera Gaertn.) utilizing 1DE and 2DE separation in conjunction with tandem mass spectrometry.

Moro CF, Fukao Y, Shibato J, Rakwal R, Timperio AM, Zolla L, Agrawal GK, Shioda S, Kouzuma Y, Yonekura M.

Proteomics. 2015 May;15(10):1717-35. doi: 10.1002/pmic.201400406. Epub 2015 Feb 12.

PMID:
25545995
39.

Comparative investigation of seed coats of brown- versus yellow-colored soybean seeds using an integrated proteomics and metabolomics approach.

Gupta R, Min CW, Kim SW, Wang Y, Agrawal GK, Rakwal R, Kim SG, Lee BW, Ko JM, Baek IY, Bae DW, Kim ST.

Proteomics. 2015 May;15(10):1706-16. doi: 10.1002/pmic.201400453. Epub 2015 Feb 10.

PMID:
25545850
40.

Transcriptome Analysis of Early Responsive Genes in Rice during Magnaporthe oryzae Infection.

Wang Y, Kwon SJ, Wu J, Choi J, Lee YH, Agrawal GK, Tamogami S, Rakwal R, Park SR, Kim BG, Jung KH, Kang KY, Kim SG, Kim ST.

Plant Pathol J. 2014 Dec;30(4):343-54. doi: 10.5423/PPJ.OA.06.2014.0055. Epub 2014 Dec 15.

41.

Unraveling low-level gamma radiation--responsive changes in expression of early and late genes in leaves of rice seedlings at Iitate Village, Fukushima.

Hayashi G, Shibato J, Imanaka T, Cho K, Kubo A, Kikuchi S, Satoh K, Kimura S, Ozawa S, Fukutani S, Endo S, Ichikawa K, Agrawal GK, Shioda S, Fukumoto M, Rakwal R.

J Hered. 2014 Sep-Oct;105(5):723-38. doi: 10.1093/jhered/esu025.

PMID:
25124817
42.

Proteomics of rice and Cochliobolus miyabeanus fungal interaction: insight into proteins at intracellular and extracellular spaces.

Kim JY, Wu J, Kwon SJ, Oh H, Lee SE, Kim SG, Wang Y, Agrawal GK, Rakwal R, Kang KY, Ahn IP, Kim BG, Kim ST.

Proteomics. 2014 Oct;14(20):2307-18. doi: 10.1002/pmic.201400066. Epub 2014 Aug 21.

PMID:
25047395
43.

First systematic plant proteomics workshop in Botany Department, University of Delhi: transferring proteomics knowledge to next-generation researchers and students.

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.

Proteomics. 2014 Jul;14(13-14):1581-6. doi: 10.1002/pmic.201470103.

PMID:
25044573
44.

Plant proteomics in India and Nepal: current status and challenges ahead.

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.

Physiol Mol Biol Plants. 2013 Oct;19(4):461-77. doi: 10.1007/s12298-013-0198-y. Review.

45.

Rice proteomics: a model system for crop improvement and food security.

Kim ST, Kim SG, Agrawal GK, Kikuchi S, Rakwal R.

Proteomics. 2014 Mar;14(4-5):593-610. doi: 10.1002/pmic.201300388. Epub 2014 Jan 22. Review.

PMID:
24323464
46.

Protein interactome analysis of 12 mitogen-activated protein kinase kinase kinase in rice using a yeast two-hybrid system.

Singh R, Lee JE, Dangol S, Choi J, Yoo RH, Moon JS, Shim JK, Rakwal R, Agrawal GK, Jwa NS.

Proteomics. 2014 Jan;14(1):105-15. doi: 10.1002/pmic.201300125.

PMID:
24243689
47.

Comparative analysis of seed transcriptomes of ambient ozone-fumigated 2 different rice cultivars.

Cho K, Shibato J, Kubo A, Kohno Y, Satoh K, Kikuchi S, Sarkar A, Agrawal GK, Rakwal R.

Plant Signal Behav. 2013 Nov;8(11):e26300. doi: 10.4161/psb.26300. Epub 2013 Sep 11.

48.

Biofuels as a sustainable energy source: an update of the applications of proteomics in bioenergy crops and algae.

Ndimba BK, Ndimba RJ, Johnson TS, Waditee-Sirisattha R, Baba M, Sirisattha S, Shiraiwa Y, Agrawal GK, Rakwal R.

J Proteomics. 2013 Nov 20;93:234-44. doi: 10.1016/j.jprot.2013.05.041. Epub 2013 Jun 20. Review.

PMID:
23792822
49.

Biomarker discovery and applications for foods and beverages: proteomics to nanoproteomics.

Agrawal GK, Timperio AM, Zolla L, Bansal V, Shukla R, Rakwal R.

J Proteomics. 2013 Nov 20;93:74-92. doi: 10.1016/j.jprot.2013.04.014. Epub 2013 Apr 22. Review.

PMID:
23619387
50.

Depletion of abundant plant RuBisCO protein using the protamine sulfate precipitation method.

Kim YJ, Lee HM, Wang Y, Wu J, Kim SG, Kang KY, Park KH, Kim YC, Choi IS, Agrawal GK, Rakwal R, Kim ST.

Proteomics. 2013 Jul;13(14):2176-9. doi: 10.1002/pmic.201200555. Epub 2013 Jun 6.

PMID:
23576416

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