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For: Lee PY, Saraygord-afshari N, Low TY. The evolution of two-dimensional gel electrophoresis - from proteomics to emerging alternative applications. Journal of Chromatography A 2020;1615:460763. [DOI: 10.1016/j.chroma.2019.460763] [Cited by in Crossref: 29] [Cited by in F6Publishing: 34] [Article Influence: 14.5] [Reference Citation Analysis]
Number Citing Articles
1 Murphy S, Ohlendieck K. Protein Digestion for 2D-DIGE Analysis. Methods in Molecular Biology 2023. [DOI: 10.1007/978-1-0716-2831-7_23] [Reference Citation Analysis]
2 Ohlendieck K. Two-CyDye-Based 2D-DIGE Analysis of Aged Human Muscle Biopsy Specimens. Methods in Molecular Biology 2023. [DOI: 10.1007/978-1-0716-2831-7_19] [Reference Citation Analysis]
3 Meleady P. Two-Dimensional Gel Electrophoresis and 2D-DIGE. Methods in Molecular Biology 2023. [DOI: 10.1007/978-1-0716-2831-7_1] [Reference Citation Analysis]
4 Ohlendieck K. Comparative 3-Sample 2D-DIGE Analysis of Skeletal Muscles. Methods in Molecular Biology 2023. [DOI: 10.1007/978-1-0716-2831-7_11] [Reference Citation Analysis]
5 Yang R, Han Y, Yi W, Long Q. Autoantibodies as biomarkers for breast cancer diagnosis and prognosis. Front Immunol 2022;13. [DOI: 10.3389/fimmu.2022.1035402] [Reference Citation Analysis]
6 Rodríguez-vázquez R, Mouzo D, Zapata C. Phosphoproteome Analysis Using Two-Dimensional Electrophoresis Coupled with Chemical Dephosphorylation. Foods 2022;11:3119. [DOI: 10.3390/foods11193119] [Reference Citation Analysis]
7 Kieliszek M, Waśko A, Michalak K, Kot AM, Piwowarek K, Winiarczyk S. Effect of selenium and methods of protein extraction on the proteomic profile of Saccharomyces yeast. Open Life Sci 2022;17:1117-28. [PMID: 36133425 DOI: 10.1515/biol-2022-0496] [Reference Citation Analysis]
8 Li M, Li H, Ding X, Wang L, Wang X, Chen F. The Detection of Pine Wilt Disease: A Literature Review. Int J Mol Sci 2022;23:10797. [PMID: 36142710 DOI: 10.3390/ijms231810797] [Reference Citation Analysis]
9 Zheng L, Wu W, Chen Q, Zhang G, Gao F, Zhou Y. Integrated transcriptomics, proteomics, and metabolomics identified biological processes and metabolic pathways involved in heat stress response in jojoba. Industrial Crops and Products 2022;183:114946. [DOI: 10.1016/j.indcrop.2022.114946] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
10 Halder T, Choudhary M, Liu H, Chen Y, Yan G, Siddique KHM. Wheat Proteomics for Abiotic Stress Tolerance and Root System Architecture: Current Status and Future Prospects. Proteomes 2022;10:17. [DOI: 10.3390/proteomes10020017] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
11 Mohanta TK, Kamran MS, Omar M, Anwar W, Choi GS. PlantMWpIDB: a database for the molecular weight and isoelectric points of the plant proteomes. Sci Rep 2022;12:7421. [PMID: 35523906 DOI: 10.1038/s41598-022-11077-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Matuzevičius D. Synthetic Data Generation for the Development of 2D Gel Electrophoresis Protein Spot Models. Applied Sciences 2022;12:4393. [DOI: 10.3390/app12094393] [Reference Citation Analysis]
13 Dautt-castro M, Jijón-moreno S, Gómez-hernández N, del Carmen González-lópez M, Hernández-hernández EJ, Rosendo-vargas MM, Rebolledo-prudencio OG, Casas-flores S. New Insights on the Duality of Trichoderma as a Phytopathogen Killer and a Plant Protector Based on an Integrated Multi-omics Perspective. Fungal Biology 2022. [DOI: 10.1007/978-3-030-91650-3_5] [Reference Citation Analysis]
14 Yang YJ, Gao ZF. Bio-inspired Superwettable Surface for the Detection of Cancer Biomarker: A Mini Review. Technol Cancer Res Treat 2022;21:15330338221110670. [PMID: 35790461 DOI: 10.1177/15330338221110670] [Reference Citation Analysis]
15 Farinha AP, Moreira M, de Magalhães CR, Schrama D, Cerqueira M, Carrilho R, Rodrigues PM. Proteomics for Quality and Safety in Fishery Products. Sustainable Fish Production and Processing 2022. [DOI: 10.1016/b978-0-12-824296-4.00007-4] [Reference Citation Analysis]
16 Lan Y, Zeng X, Xiao J, Hu L, Tan L, Liang M, Wang X, Lu S, Long F, Peng T. New advances in quantitative proteomics research and current applications in asthma. Expert Rev Proteomics 2021;:1-13. [PMID: 34890515 DOI: 10.1080/14789450.2021.2017777] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
17 Xue J, Zhang Q, Cao J, Tian Y, Zha G, Liu X, Liu W, Wang Y, Gui D, Cao C. Gel Electrophoresis Chip Using Joule Heat Self-Dissipation, Short Run Time, and Online Dynamic Imaging. Anal Chem 2021. [PMID: 34958211 DOI: 10.1021/acs.analchem.1c03635] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
18 Feringer-Júnior WH, de Carvalho JRG, Moranza HG, de Almeida MLM, Lemos EGM, Soares OAB, Ribeiro G, de Camargo Ferraz G. Cost of transport, but not gluteus medius and red blood cells monocarboxylate-transporters density differentiated Brazilian Sport Horses at two performance levels. Res Vet Sci 2021;143:20-7. [PMID: 34954568 DOI: 10.1016/j.rvsc.2021.12.008] [Reference Citation Analysis]
19 Araújo MJ, Sousa ML, Felpeto AB, Turkina MV, Fonseca E, Martins JC, Vasconcelos V, Campos A. Comparison of Sample Preparation Methods for Shotgun Proteomic Studies in Aquaculture Species. Proteomes 2021;9:46. [PMID: 34842808 DOI: 10.3390/proteomes9040046] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
20 Urbano-Gámez JD, Perdigones F, Quero JM. Semi-Automatic Lab-on-PCB System for Agarose Gel Preparation and Electrophoresis for Biomedical Applications. Micromachines (Basel) 2021;12:1071. [PMID: 34577715 DOI: 10.3390/mi12091071] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
21 Benedetto A, Pezzolato M, Biasibetti E, Bozzetta E. Omics applications in the fight against abuse of anabolic substances in cattle: challenges, perspectives and opportunities. Current Opinion in Food Science 2021;40:112-20. [DOI: 10.1016/j.cofs.2021.03.001] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 7.0] [Reference Citation Analysis]
22 Bultelle F, Boutet I, Devin S, Caza F, St-Pierre Y, Péden R, Brousseau P, Chan P, Vaudry D, Le Foll F, Fournier M, Auffret M, Rocher B. Molecular response of a sub-antarctic population of the blue mussel (Mytilus edulis platensis) to a moderate thermal stress. Mar Environ Res 2021;169:105393. [PMID: 34217095 DOI: 10.1016/j.marenvres.2021.105393] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
23 Yang F, Xie C, Li J, Ma R, Dang Z, Wang C, Wang T. Foodomics technology: promising analytical methods of functional activities of plant polyphenols. Eur Food Res Technol 2021;247:2129-42. [DOI: 10.1007/s00217-021-03781-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
24 Süslükaya M, Mumcu Topaloğlu H, Gül Karagüler N, Yavuz E. Hierarchically Porous High-Surface-Area Polymers with Interconnected Pores for Fast and Selective Albumin Adsorption. ACS Appl Polym Mater 2021;3:2742-58. [DOI: 10.1021/acsapm.1c00274] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
25 Braconi D, Bernardini G, Spiga O, Santucci A. Leveraging proteomics in orphan disease research: pitfalls and potential. Expert Rev Proteomics 2021;18:315-27. [PMID: 33861161 DOI: 10.1080/14789450.2021.1918549] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
26 Fernandes Vileigas D, Cicogna AC. Effects of obesity on the cardiac proteome. Endocrine and Metabolic Science 2021;2:100076. [DOI: 10.1016/j.endmts.2020.100076] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
27 Mustafa G, Farooq A, Riaz Z, Hasan M, Amna. Nano-Proteomics of Stress Tolerance in Crop Plants. Sustainable Agriculture Reviews 53 2021. [DOI: 10.1007/978-3-030-86876-5_15] [Reference Citation Analysis]
28 Smolikova G, Gorbach D, Lukasheva E, Mavropolo-Stolyarenko G, Bilova T, Soboleva A, Tsarev A, Romanovskaya E, Podolskaya E, Zhukov V, Tikhonovich I, Medvedev S, Hoehenwarter W, Frolov A. Bringing New Methods to the Seed Proteomics Platform: Challenges and Perspectives. Int J Mol Sci 2020;21:E9162. [PMID: 33271881 DOI: 10.3390/ijms21239162] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
29 Grzelak S, Stachyra A, Moskwa B, Bień-Kalinowska J. Exploiting the potential of 2D DIGE and 2DE immunoblotting for comparative analysis of crude extract of Trichinella britovi and Trichinella spiralis muscle larvae proteomes. Vet Parasitol 2021;289:109323. [PMID: 33278763 DOI: 10.1016/j.vetpar.2020.109323] [Cited by in Crossref: 2] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
30 Davis JM. Validation of Extended Statistical Overlap Theory for Application to Small Second Dimension Peak Capacity. Chromatographia 2021;84:187-97. [DOI: 10.1007/s10337-020-03986-w] [Reference Citation Analysis]
31 Ohashi T, Tanaka T, Tanaka N, Takegawa K. SpMnn9p and SpAnp1p form a protein complex involved in mannan synthesis in the fission yeast Schizosaccharomyces pombe. Journal of Bioscience and Bioengineering 2020;130:335-40. [DOI: 10.1016/j.jbiosc.2020.06.003] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
32 Dratwa-Chałupnik A, Wojdyła K, Ożgo M, Lepczyński A, Michałek K, Herosimczyk A, Rogowska-Wrzesińska A. Urinary Proteome of Newborn Calves-New Potential in Non-Invasive Neonatal Diagnostic. Animals (Basel) 2020;10:E1257. [PMID: 32722141 DOI: 10.3390/ani10081257] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
33 Tsuchida S. Proteome Analysis of Molecular Events in Oral Pathogenesis and Virus: A Review with a Particular Focus on Periodontitis. Int J Mol Sci 2020;21:E5184. [PMID: 32707841 DOI: 10.3390/ijms21155184] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
34 Zhu Z, Yang L, Yu P, Wang Y, Peng X, Chen L. Comparative Proteomics and Secretomics Revealed Virulence and Antibiotic Resistance-Associated Factors in Vibrio parahaemolyticus Recovered From Commonly Consumed Aquatic Products. Front Microbiol 2020;11:1453. [PMID: 32765437 DOI: 10.3389/fmicb.2020.01453] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]