Charting the molecular networks of cells and tissues
My laboratory develops and applies advanced proteomic, molecular genetic, genomic and bioinformatic technologies to investigate the molecular associations and biological roles of the many varied macromolecules present in different cells, tissues and organisms. Our research team has outstanding skills in state-of-the-art protein mass spectrometry and other high-throughput techniques for investigating molecular interaction networks in a global systems-wide manner. Our group aims to generate comprehensive maps of the physical and functional “interactomes” of informative models, ranging from unicellular microbes like yeast or the bacterium E. coli to more complex metazoans such as worm, mouse and (increasingly) human. We expect these maps will lead to breakthrough mechanistic understanding of how cells and tissues function at a fundamental molecular level, and serve as valuable resources for the broader research community. Ultimately, our team aims to translate this basic knowledge into novel diagnostic and therapeutic tools, with an emphasis on cancer, cardiovascular disease and neurodegenerative disorders.
Laboratory Members
McComb, Mark, PhD – Assoc. Research Professor
Julian Kwan, PhD – Research Scientist (lab manager)
Pierre Havugimana, PhD – Research Scientist
Indranil Paul, PhD – Research Scientist
Weiwei Lin, PhD – Postdoctoral Associate
Raghuveera Goel, PhD – Postdoctoral Associate
Suprama Datta, PhD – Postdoctoral Associate
Avik Basu, PhD – Postdoctoral Associate
Benjamin Blum – Graduate student
Matthew Lawton – Graduate Student
Jarrod Moore – Graduate Student
Ahmed Youssef – Graduate Student
Isabella Turcinovic – Undergraduate Assistant
Christian Heckendorf, MSc – Senior Analyst
Ryan Hekman – Research Technician
Representative Publications
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Ruan QT, Yazdani N, Blum BC, Beierle JA, Lin W, Coelho MA, Fultz EK, Healy AF, Shahin JR, Kandola AK, Luttik KP, Zheng K, Smith NJ, Cheung J, Mortazavi F, Apicco DJ, Ragu Varman D, Ramamoorthy S, Ash PEA, Rosene DL, Emili A, Wolozin B, Szumlinski KK, Bryant CD. A mutation in Hnrnph1 that decreases methamphetamine-induced reinforcement, reward, and dopamine release and increases synaptosomal hnRNP H and mitochondrial proteins. J Neurosci. 2019 Nov 08. PMID: 31704785
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Hu LZ, Goebels F, Tan JH, Wolf E, Kuzmanov U, Wan C, Phanse S, Xu C, Schertzberg M, Fraser AG, Bader GD, Emili A. EPIC: software toolkit for elution profile-based inference of protein complexes. Nat Methods. 2019 08; 16(8):737-742. PMID: 31308550
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Vajda S, Emili A. Mapping global protein contacts. Science. 2019 07 12; 365(6449):120-121. PMID: 31296755
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O’Meara TR, O’Meara MJ, Polvi EJ, Pourhaghighi MR, Liston SD, Lin ZY, Veri AO, Emili A, Gingras AC, Cowen LE. Global proteomic analyses define an environmentally contingent Hsp90 interactome and reveal chaperone-dependent regulation of stress granule proteins and the R2TP complex in a fungal pathogen. PLoS Biol. 2019 Jul; 17(7):e3000358. PMID: 31283755
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Mohtar O, Ozdemir C, Roy D, Shantaram D, Emili A, Kandror KV. Egr1 mediates the effect of insulin on leptin transcription in adipocytes. J Biol Chem. 2019 04 12; 294(15):5784-5789. PMID: 30846562
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Pourhaghighi R, Emili A. Two-Dimensional Biochemical Purification for Global Proteomic Analysis of Macromolecular Protein Complexes. Methods Mol Biol. 2019; 1871:445-454. PMID: 30276754
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Complete list can be found at BU Profiles