Connection
Edward Lau to Proteome
This is a "connection" page, showing publications Edward Lau has written about Proteome.
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Connection Strength |
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3.979 |
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Srivastava H, Lippincott MJ, Currie J, Canfield R, Lam MPY, Lau E. Protein prediction models support widespread post-transcriptional regulation of protein abundance by interacting partners. PLoS Comput Biol. 2022 11; 18(11):e1010702.
Score: 0.646
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Hammond DE, Simpson DM, Franco C, Wright Muelas M, Waters J, Ludwig RW, Prescott MC, Hurst JL, Beynon RJ, Lau E. Harmonizing Labeling and Analytical Strategies to Obtain Protein Turnover Rates in Intact Adult Animals. Mol Cell Proteomics. 2022 07; 21(7):100252.
Score: 0.626
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Lau E, Han Y, Williams DR, Thomas CT, Shrestha R, Wu JC, Lam MPY. Splice-Junction-Based Mapping of Alternative Isoforms in the Human Proteome. Cell Rep. 2019 12 10; 29(11):3751-3765.e5.
Score: 0.528
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Lau E, Cao Q, Lam MPY, Wang J, Ng DCM, Bleakley BJ, Lee JM, Liem DA, Wang D, Hermjakob H, Ping P. Integrated omics dissection of proteome dynamics during cardiac remodeling. Nat Commun. 2018 01 09; 9(1):120.
Score: 0.462
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Lau E, Huang D, Cao Q, Dincer TU, Black CM, Lin AJ, Lee JM, Wang D, Liem DA, Lam MP, Ping P. Spatial and temporal dynamics of the cardiac mitochondrial proteome. Expert Rev Proteomics. 2015 Apr; 12(2):133-46.
Score: 0.380
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Chan XC, Black CM, Lin AJ, Ping P, Lau E. Mitochondrial protein turnover: methods to measure turnover rates on a large scale. J Mol Cell Cardiol. 2015 Jan; 78:54-61.
Score: 0.371
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Lau E, Lam MP, Siu SO, Kong RP, Chan WL, Zhou Z, Huang J, Lo C, Chu IK. Combinatorial use of offline SCX and online RP-RP liquid chromatography for iTRAQ-based quantitative proteomics applications. Mol Biosyst. 2011 May; 7(5):1399-408.
Score: 0.287
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Han Y, Wood SD, Wright JM, Dostal V, Lau E, Lam MPY. Computation-assisted targeted proteomics of alternative splicing protein isoforms in the human heart. J Mol Cell Cardiol. 2021 05; 154:92-96.
Score: 0.143
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Dostal V, Wood SD, Thomas CT, Han Y, Lau E, Lam MPY. Proteomic signatures of acute oxidative stress response to paraquat in the mouse heart. Sci Rep. 2020 10 28; 10(1):18440.
Score: 0.140
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Kudelko M, Chan CW, Sharma R, Yao Q, Lau E, Chu IK, Cheah KS, Tanner JA, Chan D. Label-Free Quantitative Proteomics Reveals Survival Mechanisms Developed by Hypertrophic Chondrocytes under ER Stress. J Proteome Res. 2016 Jan 04; 15(1):86-99.
Score: 0.100
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Lotz C, Lin AJ, Black CM, Zhang J, Lau E, Deng N, Wang Y, Zong NC, Choi JH, Xu T, Liem DA, Korge P, Weiss JN, Hermjakob H, Yates JR, Apweiler R, Ping P. Characterization, design, and function of the mitochondrial proteome: from organs to organisms. J Proteome Res. 2014 Feb 07; 13(2):433-46.
Score: 0.087
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Kim TY, Wang D, Kim AK, Lau E, Lin AJ, Liem DA, Zhang J, Zong NC, Lam MP, Ping P. Metabolic labeling reveals proteome dynamics of mouse mitochondria. Mol Cell Proteomics. 2012 Dec; 11(12):1586-94.
Score: 0.080
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Zhang J, Lin A, Powers J, Lam MP, Lotz C, Liem D, Lau E, Wang D, Deng N, Korge P, Zong NC, Cai H, Weiss J, Ping P. Perspectives on: SGP symposium on mitochondrial physiology and medicine: mitochondrial proteome design: from molecular identity to pathophysiological regulation. J Gen Physiol. 2012 Jun; 139(6):395-406.
Score: 0.078
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Han Y, Wright JM, Lau E, Lam MPY. Determining Alternative Protein Isoform Expression Using RNA Sequencing and Mass Spectrometry. STAR Protoc. 2020 12 18; 1(3):100138.
Score: 0.035
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Siu SO, Lam MP, Lau E, Yeung WS, Cox DM, Chu IK. N-linked glycoprotein analysis using dual-extraction ultrahigh-performance liquid chromatography and electrospray tandem mass spectrometry. Methods Mol Biol. 2010; 600:133-43.
Score: 0.017
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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