 Connection
Maggie Lam to Proteome
This is a "connection" page, showing publications Maggie Lam has written about Proteome.
|
|
| |
Connection Strength |
|
 |
|
 |
| |
3.006 |
|
|
|
-
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: 0.525
-
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: 0.516
-
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: 0.485
-
Currie J, Ng DCM, Pandi B, Black A, Manda V, Durham C, Pavelka J, Lam MPY, Lau E. Improved Method to Determine Protein Turnover Rates with Heavy Water Labeling by Mass Isotopomer Ratio Selection. J Proteome Res. 2025 Apr 04; 24(4):1992-2005.
Score: 0.175
-
Currie J, Manda V, Robinson SK, Lai C, Agnihotri V, Hidalgo V, Ludwig RW, Zhang K, Pavelka J, Wang ZV, Rhee JW, Lam MPY, Lau E. Simultaneous proteome localization and turnover analysis reveals spatiotemporal features of protein homeostasis disruptions. Nat Commun. 2024 Mar 11; 15(1):2207.
Score: 0.163
-
Pandi B, Brenman S, Black A, Ng DCM, Lau E, Lam MPY. Tissue Usage Preference and Intrinsically Disordered Region Remodeling of Alternative Splicing Derived Proteoforms in the Heart. J Proteome Res. 2024 Aug 02; 23(8):3161-3173.
Score: 0.163
-
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: 0.148
-
Adhikari S, Nice EC, Deutsch EW, Lane L, Omenn GS, Pennington SR, Paik YK, Overall CM, Corrales FJ, Cristea IM, Van Eyk JE, Uhl?n M, Lindskog C, Chan DW, Bairoch A, Waddington JC, Justice JL, LaBaer J, Rodriguez H, He F, Kostrzewa M, Ping P, Gundry RL, Stewart P, Srivastava S, Srivastava S, Nogueira FCS, Domont GB, Vandenbrouck Y, Lam MPY, Wennersten S, Vizcaino JA, Wilkins M, Schwenk JM, Lundberg E, Bandeira N, Marko-Varga G, Weintraub ST, Pineau C, Kusebauch U, Moritz RL, Ahn SB, Palmblad M, Snyder MP, Aebersold R, Baker MS. A high-stringency blueprint of the human proteome. Nat Commun. 2020 10 16; 11(1):5301.
Score: 0.129
-
Ruiz-Romero C, Lam MPY, Nilsson P, ?nnerfjord P, Utz PJ, Van Eyk JE, Venkatraman V, Fert-Bober J, Watt FE, Blanco FJ. Mining the Proteome Associated with Rheumatic and Autoimmune Diseases. J Proteome Res. 2019 12 06; 18(12):4231-4239.
Score: 0.120
-
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: 0.106
-
Lin L, Jiang P, Park JW, Wang J, Lu ZX, Lam MP, Ping P, Xing Y. The contribution of Alu exons to the human proteome. Genome Biol. 2016 Jan 28; 17:15.
Score: 0.093
-
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: 0.087
-
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: 0.073
-
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: 0.072
-
Lam MP, Vivanco F, Scholten A, Hermjakob H, Van Eyk J, Ping P. HUPO 2011: The new Cardiovascular Initiative - integrating proteomics and cardiovascular biology in health and disease. Proteomics. 2012 Mar; 12(6):749-51.
Score: 0.071
-
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: 0.066
-
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: 0.015
|
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.
|