Lundgren DH - Search Results

1

Large-scale proteomic characterization of melanoma expressed proteins reveals nestin and vimentin as biomarkers that can potentially distinguish melanoma subtypes.

Qendro V, Lundgren DH, Rezaul K, Mahony F, Ferrell N, Bi A, Latifi A, Chowdhury D, Gygi S, Haas W, Wilson L, Murphy M, Han DK. Qendro V, et al. Among authors: lundgren dh. J Proteome Res. 2014 Nov 7;13(11):5031-40. doi: 10.1021/pr5006789. Epub 2014 Oct 16. J Proteome Res. 2014. PMID: 25322343

2

Direct cancer tissue proteomics: a method to identify candidate cancer biomarkers from formalin-fixed paraffin-embedded archival tissues.

Hwang SI, Thumar J, Lundgren DH, Rezaul K, Mayya V, Wu L, Eng J, Wright ME, Han DK. Hwang SI, et al. Among authors: lundgren dh. Oncogene. 2007 Jan 4;26(1):65-76. doi: 10.1038/sj.onc.1209755. Epub 2006 Jun 26. Oncogene. 2007. PMID: 16799640

3

Systematic characterization of nuclear proteome during apoptosis: a quantitative proteomic study by differential extraction and stable isotope labeling.

Hwang SI, Lundgren DH, Mayya V, Rezaul K, Cowan AE, Eng JK, Han DK. Hwang SI, et al. Among authors: lundgren dh. Mol Cell Proteomics. 2006 Jun;5(6):1131-45. doi: 10.1074/mcp.M500162-MCP200. Epub 2006 Mar 14. Mol Cell Proteomics. 2006. PMID: 16540461 Free article.

4

Role of spectral counting in quantitative proteomics.

Lundgren DH, Hwang SI, Wu L, Han DK. Lundgren DH, et al. Expert Rev Proteomics. 2010 Feb;7(1):39-53. doi: 10.1586/epr.09.69. Expert Rev Proteomics. 2010. PMID: 20121475 Review.

5

Differential protein expression profiles in estrogen receptor-positive and -negative breast cancer tissues using label-free quantitative proteomics.

Rezaul K, Thumar JK, Lundgren DH, Eng JK, Claffey KP, Wilson L, Han DK. Rezaul K, et al. Among authors: lundgren dh. Genes Cancer. 2010 Mar;1(3):251-71. doi: 10.1177/1947601910365896. Genes Cancer. 2010. PMID: 21779449 Free PMC article.

6

Integrative proteomics, genomics, and translational immunology approaches reveal mutated forms of Proteolipid Protein 1 (PLP1) and mutant-specific immune response in multiple sclerosis.

Qendro V, Bugos GA, Lundgren DH, Glynn J, Han MH, Han DK. Qendro V, et al. Among authors: lundgren dh. Proteomics. 2017 Mar;17(6). doi: 10.1002/pmic.201600322. Proteomics. 2017. PMID: 28191734

7

PROTEOME-3D: an interactive bioinformatics tool for large-scale data exploration and knowledge discovery.

Lundgren DH, Eng J, Wright ME, Han DK. Lundgren DH, et al. Mol Cell Proteomics. 2003 Nov;2(11):1164-76. doi: 10.1074/mcp.M300059-MCP200. Epub 2003 Sep 7. Mol Cell Proteomics. 2003. PMID: 12960178 Free PMC article.

8

Global survey of human T leukemic cells by integrating proteomics and transcriptomics profiling.

Wu L, Hwang SI, Rezaul K, Lu LJ, Mayya V, Gerstein M, Eng JK, Lundgren DH, Han DK. Wu L, et al. Among authors: lundgren dh. Mol Cell Proteomics. 2007 Aug;6(8):1343-53. doi: 10.1074/mcp.M700017-MCP200. Epub 2007 May 21. Mol Cell Proteomics. 2007. PMID: 17519225 Free article.

9

Protein identification using TurboSEQUEST.

Lundgren DH, Han DK, Eng JK. Lundgren DH, et al. Curr Protoc Bioinformatics. 2005 Jul;Chapter 13:Unit 13.3. doi: 10.1002/0471250953.bi1303s10. Curr Protoc Bioinformatics. 2005. PMID: 18428747

10

Quantitative phosphoproteomic analysis of T cell receptor signaling reveals system-wide modulation of protein-protein interactions.

Mayya V, Lundgren DH, Hwang SI, Rezaul K, Wu L, Eng JK, Rodionov V, Han DK. Mayya V, et al. Among authors: lundgren dh. Sci Signal. 2009 Aug 18;2(84):ra46. doi: 10.1126/scisignal.2000007. Sci Signal. 2009. PMID: 19690332

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