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Quantitative Proteomics
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Quantitative Proteomics

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New Book Chapter:
Brown LM. Quantitative Shotgun Proteomics with Data-Independent Acquisition and Traveling Wave Ion Mobility Spectrometry: A Versatile Tool in the Life Sciences
Adv Exp Med Biol. 2014;806:79-91. doi: 10.1007/978-3-319-06068-2_4.
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Quantitative Proteomics

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Ergel B, Gill ML, Brown L, Yu B, Palmer AG 3rd, Hunt JF.
Protein dynamics control the progression and efficiency of the catalytic reaction cycle of the Escherichia coli DNA-repair enzyme AlkB. J Biol Chem. 2014 Oct 24;289(43):29584-601
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Quantitative Proteomics

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Jin Yang, Yao Li, Lawrence Chan, Yi-Ting Tsai,Wen-Hsuan Wu,
Huy V. Nguyen, Chun-Wei Hsu, Xiaorong Li, Lewis M. Brown, Dieter Egli,
Janet R. Sparrow and Stephen H. Tsang. Validation of genome-wide association study (GWAS)-identified disease risk alleles with
patient-specific stem cell lines. Human Molecular Genetics, 2014 Advance Access published February 18, 2014
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Alegre-Aguaron, E., Sampat, S.R., Xiong, J.C., Colligan, R.M., Bulinski, J.C., Cook, J.L., Ateshian, G.A., Brown, L.M., and Hung, C.T. 2014. Growth Factor Priming Differentially Modulates Components of the Extracellular Matrix Proteome in Chondrocytes and Synovium-Derived Stem Cells. PLoS ONE 9(2): e88053.
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Federica Parisi, Sara Riccardo, Sheri Zola, Carlina Lora, Daniela Grifoni, Lewis M. Brown, Paola Bellosta.  2013. dMyc expression in the fat body affects DILP2 release and increases the expression of the fat desaturase Desat1 resulting in organismal growth. Dev. Biol. 379:64-75 PMID: 23608455; PMC3712331.
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Quantitative Proteomics

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Check out our updated website:
http://proteomics.bio.columbia.edu/
The proteome is the expressed protein complement of a cell, matrix, organelle, tissue, organ, or organism. It includes all isoforms and posttranslational variants and varies with time. The overall technical approach in proteomics was enabled by two major technical advances: the ability to ...
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The installation of the Orbitrap Q Exactive HF is in progress!
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This PLOS blog highlighted our proteomics study as an excellent example of personalized medicine
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This series of posts today are references to some of our recent publications
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Quantitative Proteomics

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Yang, Wan S., SriRamaratnam, R., Welsch, Matthew E., Shimada, K., Skouta, R., Viswanathan, Vasanthi S., Cheah, Jaime H., Clemons, Paul A., Shamji, Alykhan F., Clish, Clary B., Brown, Lewis M., Girotti, Albert W., Cornish, Virginia W., Schreiber, Stuart L., and Stockwell, Brent R. 2014. Regulation of Ferroptotic Cancer Cell Death by GPX4. Cell 156(1-2): 317-331.
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Nathan J. Weyand, Anne M. Wertheimer, Theodore R. Hobbs, Jennifer L. Sisko, Nyiawung A. Taku, Lindsay D. Gregston, Susan Clary, Dustin L. Higashi, Nicolas Biais, Lewis M. Brown, Shannon L. Planer, Alfred W. Legasse, Michael K. Axthelm, Scott W. Wong, Magdalene So. 2013. Neisseria infection of rhesus macaques as a model to study colonization, transmission, persistence and horizontal gene transfer. Proc Natl Acad Sci U S A. 110: 3059-3064. PMID: 23382234; PMC3581930.
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A Collaborative Laboratory at Columbia University
Introduction
The focus of the Quantitative Proteomics Center is the identification of proteins with differential quantitative expression in cells, tissues or in affinity purifications, and we have applied this technique employing mass spectrometry to many different research problems. We do projects with groups across all campuses of Columbia University and at other institutions across the nation. All internal and external research groups are treated equally.

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646-558-0007