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Connection

Edward Lau to Proteomics

This is a "connection" page, showing publications Edward Lau has written about Proteomics.

 
Connection Strength
 
 
 
4.082
 
  1. 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.
    View in: PubMed
    Score: 0.560
  2. 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.
    View in: PubMed
    Score: 0.457
  3. Lau E, Paik DT, Wu JC. Systems-Wide Approaches in Induced Pluripotent Stem Cell Models. Annu Rev Pathol. 2019 01 24; 14:395-419.
    View in: PubMed
    Score: 0.423
  4. 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.
    View in: PubMed
    Score: 0.400
  5. Lau E, Cao Q, Ng DC, Bleakley BJ, Dincer TU, Bot BM, Wang D, Liem DA, Lam MP, Ge J, Ping P. A large dataset of protein dynamics in the mammalian heart proteome. Sci Data. 2016 Mar 15; 3:160015.
    View in: PubMed
    Score: 0.353
  6. 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.
    View in: PubMed
    Score: 0.321
  7. 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.
    View in: PubMed
    Score: 0.249
  8. Han Y, Thomas CT, Wennersten SA, Lau E, Lam MPY. Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot. J Vis Exp. 2021 10 28; (176).
    View in: PubMed
    Score: 0.130
  9. Han Y, Li LZ, Kastury NL, Thomas CT, Lam MPY, Lau E. Transcriptome features of striated muscle aging and predictability of protein level changes. Mol Omics. 2021 10 11; 17(5):796-808.
    View in: PubMed
    Score: 0.130
  10. 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.
    View in: PubMed
    Score: 0.124
  11. 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.
    View in: PubMed
    Score: 0.121
  12. Gramolini A, Lau E, Liu PP. Identifying Low-Abundance Biomarkers: Aptamer-Based Proteomics Potentially Enables More Sensitive Detection in Cardiovascular Diseases. Circulation. 2016 Jul 26; 134(4):286-9.
    View in: PubMed
    Score: 0.090
  13. Lam MP, Venkatraman V, Xing Y, Lau E, Cao Q, Ng DC, Su AI, Ge J, Van Eyk JE, Ping P. Data-Driven Approach To Determine Popular Proteins for Targeted Proteomics Translation of Six Organ Systems. J Proteome Res. 2016 11 04; 15(11):4126-4134.
    View in: PubMed
    Score: 0.090
  14. Lam MP, Venkatraman V, Cao Q, Wang D, Dincer TU, Lau E, Su AI, Xing Y, Ge J, Ping P, Van Eyk JE. Prioritizing Proteomics Assay Development for Clinical Translation. J Am Coll Cardiol. 2015 Jul 14; 66(2):202-4.
    View in: PubMed
    Score: 0.084
  15. 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.
    View in: PubMed
    Score: 0.082
  16. Wang D, Liem DA, Lau E, Ng DC, Bleakley BJ, Cadeiras M, Deng MC, Lam MP, Ping P. Characterization of human plasma proteome dynamics using deuterium oxide. Proteomics Clin Appl. 2014 Aug; 8(7-8):610-9.
    View in: PubMed
    Score: 0.079
  17. Lau E, Wang D, Zhang J, Yu H, Lam MP, Liang X, Zong N, Kim TY, Ping P. Substrate- and isoform-specific proteome stability in normal and stressed cardiac mitochondria. Circ Res. 2012 Apr 27; 110(9):1174-8.
    View in: PubMed
    Score: 0.067
  18. Lam MP, Scruggs SB, Kim TY, Zong C, Lau E, Wang D, Ryan CM, Faull KF, Ping P. An MRM-based workflow for quantifying cardiac mitochondrial protein phosphorylation in murine and human tissue. J Proteomics. 2012 Aug 03; 75(15):4602-9.
    View in: PubMed
    Score: 0.067
  19. Lam MP, Lau E, Siu SO, Ng DC, Kong RP, Chiu PC, Yeung WS, Lo C, Chu IK. Online combination of reversed-phase/reversed-phase and porous graphitic carbon liquid chromatography for multicomponent separation of proteomics and glycoproteomics samples. Electrophoresis. 2011 Nov; 32(21):2930-40.
    View in: PubMed
    Score: 0.065
  20. Siu SO, Lam MP, Lau E, Kong RP, Lee SM, Chu IK. Fully automatable two-dimensional reversed-phase capillary liquid chromatography with online tandem mass spectrometry for shotgun proteomics. Proteomics. 2011 Jun; 11(11):2308-19.
    View in: PubMed
    Score: 0.063
  21. Lam MP, Siu SO, Lau E, Mao X, Sun HZ, Chiu PC, Yeung WS, Cox DM, Chu IK. Online coupling of reverse-phase and hydrophilic interaction liquid chromatography for protein and glycoprotein characterization. Anal Bioanal Chem. 2010 Sep; 398(2):791-804.
    View in: PubMed
    Score: 0.060
  22. 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.
    View in: PubMed
    Score: 0.030
  23. 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.
    View in: PubMed
    Score: 0.022
  24. 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.
    View in: PubMed
    Score: 0.014
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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