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For: Ye H, Sun L, Huang X, Zhang P, Zhao X. A proteomic approach for plasma biomarker discovery with 8-plex iTRAQ labeling and SCX-LC-MS/MS. Mol Cell Biochem 2010;343:91-9. [PMID: 20526653 DOI: 10.1007/s11010-010-0502-x] [Cited by in Crossref: 48] [Cited by in F6Publishing: 45] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
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2 Zhang Y, Ou M, Lin H, Lai L, Chen H, Chen J, Sui W, Xue W, Zhang R, Gan Q, Tang D, Sun X, Dong J, Yan Q, Dai Y. Proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using iTRAQ labelling technology. Mol Med Rep 2020;22:2329-41. [PMID: 32705285 DOI: 10.3892/mmr.2020.11299] [Reference Citation Analysis]
3 Lu X, Luan S, Dai P, Meng X, Cao B, Luo K, Kong J. iTRAQ-based comparative proteome analysis for molecular mechanism of defense against acute ammonia toxicity in Pacific White shrimp Litopenaeus vannamei. Fish Shellfish Immunol 2018;74:52-61. [PMID: 29284148 DOI: 10.1016/j.fsi.2017.12.030] [Cited by in Crossref: 21] [Cited by in F6Publishing: 13] [Article Influence: 4.2] [Reference Citation Analysis]
4 Cao Z, Yende S, Kellum JA, Robinson RA. Additions to the Human Plasma Proteome via a Tandem MARS Depletion iTRAQ-Based Workflow. Int J Proteomics 2013;2013:654356. [PMID: 23509626 DOI: 10.1155/2013/654356] [Cited by in Crossref: 16] [Cited by in F6Publishing: 17] [Article Influence: 1.8] [Reference Citation Analysis]
5 Law KP, Lim YP. Recent advances in mass spectrometry: data independent analysis and hyper reaction monitoring. Expert Rev Proteomics 2013;10:551-66. [PMID: 24206228 DOI: 10.1586/14789450.2013.858022] [Cited by in Crossref: 97] [Cited by in F6Publishing: 88] [Article Influence: 12.1] [Reference Citation Analysis]
6 Bai KJ, Chuang KJ, Chen JK, Hua HE, Shen YL, Liao WN, Lee CH, Chen KY, Lee KY, Hsiao TC, Pan CH, Ho KF, Chuang HC. Investigation into the pulmonary inflammopathology of exposure to nickel oxide nanoparticles in mice. Nanomedicine 2018;14:2329-39. [PMID: 29074311 DOI: 10.1016/j.nano.2017.10.003] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 3.0] [Reference Citation Analysis]
7 Xu D, Li Y, Li X, Wei LL, Pan Z, Jiang TT, Chen ZL, Wang C, Cao WM, Zhang X, Ping ZP, Liu CM, Liu JY, Li ZJ, Li JC. Serum protein S100A9, SOD3, and MMP9 as new diagnostic biomarkers for pulmonary tuberculosis by iTRAQ-coupled two-dimensional LC-MS/MS. Proteomics 2015;15:58-67. [PMID: 25332062 DOI: 10.1002/pmic.201400366] [Cited by in Crossref: 44] [Cited by in F6Publishing: 44] [Article Influence: 5.5] [Reference Citation Analysis]
8 Ye H, Lv M, Zhao X, Zhao X, Huang X. Plasma level of lipopolysaccharide-binding protein is indicative of acute graft-versus-host disease following allogeneic hematopoietic stem cell transplantation. Int J Hematol 2012;95:680-8. [PMID: 22552880 DOI: 10.1007/s12185-012-1076-z] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.4] [Reference Citation Analysis]
9 Zeng J, Liu Y, Liu W, Liu X, Liu F, Huang P, Zhu P, Chen J, Shi M, Guo F, Cheng P, Zeng J, Liao Y, Gong J, Zhang HM, Wang D, Guo AY, Xiong X. Integration of transcriptome, proteome and metabolism data reveals the alkaloids biosynthesis in Macleaya cordata and Macleaya microcarpa. PLoS One 2013;8:e53409. [PMID: 23326424 DOI: 10.1371/journal.pone.0053409] [Cited by in Crossref: 34] [Cited by in F6Publishing: 35] [Article Influence: 3.8] [Reference Citation Analysis]
10 Werner T, Becher I, Sweetman G, Doce C, Savitski MM, Bantscheff M. High-resolution enabled TMT 8-plexing. Anal Chem 2012;84:7188-94. [PMID: 22881393 DOI: 10.1021/ac301553x] [Cited by in Crossref: 137] [Cited by in F6Publishing: 119] [Article Influence: 13.7] [Reference Citation Analysis]
11 Wang C, Liu CM, Wei LL, Shi LY, Pan ZF, Mao LG, Wan XC, Ping ZP, Jiang TT, Chen ZL, Li ZJ, Li JC. A Group of Novel Serum Diagnostic Biomarkers for Multidrug-Resistant Tuberculosis by iTRAQ-2D LC-MS/MS and Solexa Sequencing. Int J Biol Sci 2016;12:246-56. [PMID: 26884721 DOI: 10.7150/ijbs.13805] [Cited by in Crossref: 32] [Cited by in F6Publishing: 31] [Article Influence: 5.3] [Reference Citation Analysis]
12 Li F, Xu D, Wang J, Jing J, Li Z, Jin X. Comparative proteomics analysis of patients with quick development and slow development Chronic Obstructive Pulmonary Disease (COPD). Life Sci 2020;256:117829. [PMID: 32454159 DOI: 10.1016/j.lfs.2020.117829] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
13 Guo H, Chen T, Liang Z, Fan L, Shen Y, Zhou D. iTRAQ and PRM-based comparative proteomic profiling in gills of white shrimp Litopenaeus vannamei under copper stress. Chemosphere 2021;263:128270. [PMID: 33297214 DOI: 10.1016/j.chemosphere.2020.128270] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
14 Huang L, Liu W, Jiang Q, Zuo Y, Su Y, Zhao L, Qin Y, Yan Q. Integration of Transcriptomic and Proteomic Approaches Reveals the Temperature-Dependent Virulence of Pseudomonas plecoglossicida. Front Cell Infect Microbiol 2018;8:207. [PMID: 29977868 DOI: 10.3389/fcimb.2018.00207] [Cited by in Crossref: 36] [Cited by in F6Publishing: 32] [Article Influence: 9.0] [Reference Citation Analysis]
15 Werner T, Sweetman G, Savitski MF, Mathieson T, Bantscheff M, Savitski MM. Ion coalescence of neutron encoded TMT 10-plex reporter ions. Anal Chem 2014;86:3594-601. [PMID: 24579773 DOI: 10.1021/ac500140s] [Cited by in Crossref: 150] [Cited by in F6Publishing: 134] [Article Influence: 18.8] [Reference Citation Analysis]
16 Wu Q, Chen C, Wang X, Zhang Z, Yu F, Guy RD. Proteomic analysis of metabolic mechanisms associated with fatty acid biosynthesis during Styrax tonkinensis kernel development. J Sci Food Agric 2021;101:6053-63. [PMID: 33856056 DOI: 10.1002/jsfa.11262] [Reference Citation Analysis]
17 Dong WT, Xiao LF, Hu JJ, Zhao XX, Liu JX, Zhang Y. iTRAQ proteomic analysis of the interactions between Bombyx mori nuclear polyhedrosis virus and silkworm. J Proteomics 2017;166:138-45. [PMID: 28755911 DOI: 10.1016/j.jprot.2017.07.013] [Cited by in Crossref: 15] [Cited by in F6Publishing: 14] [Article Influence: 3.0] [Reference Citation Analysis]
18 Perona Martinez F, Nagl A, Guluzade S, Schirhagl R. Nanodiamond for Sample Preparation in Proteomics. Anal Chem 2019;91:9800-5. [PMID: 31290325 DOI: 10.1021/acs.analchem.9b01459] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
19 Zhuo Y, Wu J, Yan X, Guo M, Liu N, Zhou H, Liu L, Li N. Strategy for Hepatotoxicity Prediction Induced by Drug Reactive Metabolites Using Human Liver Microsome and Online 2D-Nano-LC-MS Analysis. Anal Chem 2017;89:13167-75. [DOI: 10.1021/acs.analchem.7b02684] [Cited by in Crossref: 12] [Cited by in F6Publishing: 8] [Article Influence: 2.4] [Reference Citation Analysis]
20 Lin XC, Sui WG, Qi SW, Tang DE, Cong S, Zou GM, Zhang Y, Li H, Chen WB, Cheng ZQ, Dai Y. Quantitative proteomic profiling of renal tissue in human chronic rejection biopsy samples after renal transplantation. Transplant Proc 2015;47:323-31. [PMID: 25769567 DOI: 10.1016/j.transproceed.2014.10.010] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.3] [Reference Citation Analysis]
21 Finoulst I, Pinkse M, Van Dongen W, Verhaert P. Sample preparation techniques for the untargeted LC-MS-based discovery of peptides in complex biological matrices. J Biomed Biotechnol 2011;2011:245291. [PMID: 22203783 DOI: 10.1155/2011/245291] [Cited by in Crossref: 49] [Cited by in F6Publishing: 44] [Article Influence: 4.5] [Reference Citation Analysis]
22 Jian YP, Yuan HX, Hu KH, Chen C, Li YQ, Li Y, Yang TX, Ou ZJ, Ou JS. Protein Compositions Changes of Circulating Microparticles in Patients With Valvular Heart Disease Subjected to Cardiac Surgery Contribute to Systemic Inflammatory Response and Disorder of Coagulation. Shock 2019;52:487-96. [PMID: 30601407 DOI: 10.1097/SHK.0000000000001309] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 3.5] [Reference Citation Analysis]
23 Su L, Cao L, Zhou R, Jiang Z, Xiao K, Kong W, Wang H, Deng J, Wen B, Tan F, Zhang Y, Xie L. Identification of novel biomarkers for sepsis prognosis via urinary proteomic analysis using iTRAQ labeling and 2D-LC-MS/MS. PLoS One 2013;8:e54237. [PMID: 23372690 DOI: 10.1371/journal.pone.0054237] [Cited by in Crossref: 45] [Cited by in F6Publishing: 46] [Article Influence: 5.0] [Reference Citation Analysis]
24 Wang N, Qin X, Cao Y, Liang B, Yu K, Ye H. Plasma vascular non-inflammatory molecule 3 is associated with gastrointestinal acute graft-versus-host disease in mice. J Inflamm (Lond) 2018;15:1. [PMID: 29311761 DOI: 10.1186/s12950-017-0178-z] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
25 Zhang Y, Wang Y, Li S, Zhang X, Li W, Luo S, Sun Z, Nie R. ITRAQ-based quantitative proteomic analysis of processed Euphorbia lathyris L. for reducing the intestinal toxicity. Proteome Sci 2018;16:8. [PMID: 29692685 DOI: 10.1186/s12953-018-0136-6] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 2.8] [Reference Citation Analysis]
26 Liu Z, Zhang F, Cui L, Wang J, Lu P, Zhao R, Zhang H, Wang J, Li C, Wu R. Quantitative proteomic analysis reveals that the Rap1/MAPK/ERK pathway is inhibited through selenomethionine strengthening antioxidant activity. Biometals 2020;33:45-64. [PMID: 31834558 DOI: 10.1007/s10534-019-00229-w] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
27 Chen YJ, Ching WC, Lin YP, Chen YJ. Methods for detection and characterization of protein S-nitrosylation. Methods 2013;62:138-50. [PMID: 23628946 DOI: 10.1016/j.ymeth.2013.04.016] [Cited by in Crossref: 19] [Cited by in F6Publishing: 16] [Article Influence: 2.1] [Reference Citation Analysis]
28 Millioni R, Tolin S, Puricelli L, Sbrignadello S, Fadini GP, Tessari P, Arrigoni G. High abundance proteins depletion vs low abundance proteins enrichment: comparison of methods to reduce the plasma proteome complexity. PLoS One. 2011;6:e19603. [PMID: 21573190 DOI: 10.1371/journal.pone.0019603] [Cited by in Crossref: 101] [Cited by in F6Publishing: 98] [Article Influence: 9.2] [Reference Citation Analysis]
29 Bortner JD Jr, Richie JP Jr, Das A, Liao J, Umstead TM, Stanley A, Stanley BA, Belani CP, El-Bayoumy K. Proteomic profiling of human plasma by iTRAQ reveals down-regulation of ITI-HC3 and VDBP by cigarette smoking. J Proteome Res 2011;10:1151-9. [PMID: 21186835 DOI: 10.1021/pr100925p] [Cited by in Crossref: 50] [Cited by in F6Publishing: 49] [Article Influence: 4.5] [Reference Citation Analysis]
30 Savitski MM, Mathieson T, Zinn N, Sweetman G, Doce C, Becher I, Pachl F, Kuster B, Bantscheff M. Measuring and Managing Ratio Compression for Accurate iTRAQ/TMT Quantification. J Proteome Res 2013;12:3586-98. [DOI: 10.1021/pr400098r] [Cited by in Crossref: 157] [Cited by in F6Publishing: 135] [Article Influence: 17.4] [Reference Citation Analysis]
31 Sun X, Lv Y, Wang J, Cheng H, Huang J, Du Y, Dong J. Differential protein expression profiling by iTRAQ‐2D‐LC‐MS/MS of rats treated with oxaliplatin. J Cell Biochem 2019;120:18128-41. [DOI: 10.1002/jcb.29116] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
32 Shetty V, Jain P, Nickens Z, Sinnathamby G, Mehta A, Philip R. Investigation of plasma biomarkers in HIV-1/HCV mono- and coinfected individuals by multiplex iTRAQ quantitative proteomics. OMICS 2011;15:705-17. [PMID: 21978398 DOI: 10.1089/omi.2011.0004] [Cited by in Crossref: 19] [Cited by in F6Publishing: 15] [Article Influence: 1.9] [Reference Citation Analysis]
33 Li W, Zheng H, Qin H, Liu G, Ke L, Li Y, Li N, Zhong X. Exploration of differentially expressed plasma proteins in patients with lung adenocarcinoma using iTRAQ-coupled 2D LC-MS/MS. Clin Respir J 2018;12:2036-45. [PMID: 29363881 DOI: 10.1111/crj.12771] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
34 Juang Y, Lai B, Chien H, Ho M, Cheng T, Lai C. Changes in protein expression in rat bronchoalveolar lavage fluid after exposure to zinc oxide nanoparticles: an iTRAQ proteomic approach: Proteomics approach to exposure to zinc oxide nanoparticles in rat. Rapid Commun Mass Spectrom 2014;28:974-80. [DOI: 10.1002/rcm.6866] [Cited by in Crossref: 22] [Cited by in F6Publishing: 22] [Article Influence: 2.8] [Reference Citation Analysis]
35 Zhou HY, Yan H, Wang LL, Yan WJ, Shui YB, Beebe DC. Quantitative proteomics analysis by iTRAQ in human nuclear cataracts of different ages and normal lens nuclei. Proteomics Clin Appl 2015;9:776-86. [PMID: 25418515 DOI: 10.1002/prca.201400061] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 1.4] [Reference Citation Analysis]
36 Moulder R, Bhosale SD, Goodlett DR, Lahesmaa R. Analysis of the plasma proteome using iTRAQ and TMT-based Isobaric labeling. Mass Spectrom Rev 2018;37:583-606. [PMID: 29120501 DOI: 10.1002/mas.21550] [Cited by in Crossref: 57] [Cited by in F6Publishing: 60] [Article Influence: 11.4] [Reference Citation Analysis]
37 Luczak M, Marczak L, Stobiecki M. Optimization of plasma sample pretreatment for quantitative analysis using iTRAQ labeling and LC-MALDI-TOF/TOF. PLoS One 2014;9:e101694. [PMID: 24988083 DOI: 10.1371/journal.pone.0101694] [Cited by in Crossref: 13] [Cited by in F6Publishing: 12] [Article Influence: 1.6] [Reference Citation Analysis]
38 Bao J, Chen J, Zhang X, Xu L, Fan Y, Dou X. Combined signatures of serum proteome and transcriptome in patients with recurrent aphthous ulcer. Oral Dis 2021. [PMID: 33576097 DOI: 10.1111/odi.13800] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
39 Wang C, Wei LL, Shi LY, Pan ZF, Yu XM, Li TY, Liu CM, Ping ZP, Jiang TT, Chen ZL, Mao LG, Li ZJ, Li JC. Screening and identification of five serum proteins as novel potential biomarkers for cured pulmonary tuberculosis. Sci Rep 2015;5:15615. [PMID: 26499913 DOI: 10.1038/srep15615] [Cited by in Crossref: 24] [Cited by in F6Publishing: 23] [Article Influence: 3.4] [Reference Citation Analysis]
40 Ge B, Ye H. MPO is a potential biomarker of acute graft-versus-host disease. Biomark Med 2013;7:391-3. [PMID: 23734800 DOI: 10.2217/bmm.13.52] [Reference Citation Analysis]
41 Liu T, Huang Y, Liu J, Zhao Y, Jiang L, Huang Q, Cheng W, Guo L. MicroRNA-122 influences the development of sperm abnormalities from human induced pluripotent stem cells by regulating TNP2 expression. Stem Cells Dev 2013;22:1839-50. [PMID: 23327642 DOI: 10.1089/scd.2012.0653] [Cited by in Crossref: 33] [Cited by in F6Publishing: 33] [Article Influence: 3.7] [Reference Citation Analysis]
42 Li S, Li F, Sun Z, Zhang X, Xiang J. Differentially proteomic analysis of the Chinese shrimp at WSSV latent and acute infection stages by iTRAQ approach. Fish & Shellfish Immunology 2016;54:629-38. [DOI: 10.1016/j.fsi.2016.05.016] [Cited by in Crossref: 21] [Cited by in F6Publishing: 19] [Article Influence: 3.5] [Reference Citation Analysis]
43 Xue A, Gandy RC, Chung L, Baxter RC, Smith RC. Discovery of diagnostic biomarkers for pancreatic cancer in immunodepleted serum by SELDI-TOF MS. Pancreatology 2012;12:124-9. [PMID: 22487522 DOI: 10.1016/j.pan.2012.02.009] [Cited by in Crossref: 10] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
44 Chen G, Zhang Y, Jin X, Zhang L, Zhou Y, Niu J, Chen J, Gu Y. Urinary proteomics analysis for renal injury in hypertensive disorders of pregnancy with iTRAQ labeling and LC-MS/MS. Proteomics Clin Appl 2011;5:300-10. [PMID: 21538910 DOI: 10.1002/prca.201000100] [Cited by in Crossref: 38] [Cited by in F6Publishing: 35] [Article Influence: 3.5] [Reference Citation Analysis]
45 You Y, Zhang Y, Lu Y, Hu K, Qu X, Liu Y, Lu B, Jin L. Protein profiling and functional analysis of liver mitochondria from rats with nonalcoholic steatohepatitis. Mol Med Rep 2017;16:2379-88. [PMID: 28677739 DOI: 10.3892/mmr.2017.6893] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.6] [Reference Citation Analysis]
46 Lv M, Ye HG, Zhao XS, Zhao XY, Chang YJ, Liu DH, Xu LP, Huang XJ. Ceruloplasmin is a potential biomarker for aGvHD following allogeneic hematopoietic stem cell transplantation. PLoS One 2013;8:e58735. [PMID: 23505556 DOI: 10.1371/journal.pone.0058735] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 0.9] [Reference Citation Analysis]