Gygi Lab

@GygiLab

research group developing methods and tech in the fields of mass spectrometry and proteomics. Account managed by postdocs and student.

Harvard Medical School
Vrijeme pridruživanja: listopad 2019.

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  1. proslijedio/la je Tweet
    4. velj

    About a week and a half ago we published our paper and data for the quantitative proteomes of the Cancer Cell Line Encyclopedia. In response to questions we had about the data we’ve written a guide that’s up now on BioRxiv 1/5

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  2. proslijedio/la je Tweet
    3. velj

    Thanks for tweeting this out! I’m excited that we finally got it done and published. It was fun collaborating with NIBR on it and I hope to get to do it again

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  3. proslijedio/la je Tweet

    An exciting update on our Cancer Cell Line Encyclopedia: Quantified proteome profiles for 375 cell lines in .

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  4. 29. sij

    If you're excited about mass spectrometry, check out this year's in Madison, Wisconsin, organized by the . The line-up of speakers looks great and includes our own . See below for additional details and to apply!

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  5. proslijedio/la je Tweet
    28. sij

    Exciting new instrument development work from Brian Erickson of the and : Parallel notched gas-phase enrichment for improved proteome identification and quantitation with fast spectral acquisition rates

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  6. proslijedio/la je Tweet
    28. sij

    Congratulations to Brian, , , and the rest of the authors from and ! Parallel notched gas-phase enrichment for improved proteome identification and quantitation with fast spectral acquisition rates

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  7. proslijedio/la je Tweet
    23. sij
    Odgovor korisnicima

    Very impressive 👏🏼👏🏼👏🏼 big congratulations to all the authors. Must read paper for all overwhelmed by seeing that much data with humongous figures

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  8. proslijedio/la je Tweet
    23. sij

    Proteome profiles for 375 cancer cell lines: congratulations to of the and all other co-authors on this massive achievement! Check out the paper to see what they've learned! Quantitative Proteomics of the Cancer Cell Line Encyclopedia

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  9. proslijedio/la je Tweet
    23. sij

    Happy Thursday! Our issue unveils a brand new look for & is full of exciting science, including 🐍 venom gland , in & , , & more

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  10. proslijedio/la je Tweet
    23. sij

    I probably should have put it in the first tweet, but the manuscript is available at !

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  11. proslijedio/la je Tweet
    23. sij

    I’m thrilled to announce the publication of the quantitive proteomic profiling of the Cancer Cell Line Encyclopedia. The in collaboration with colleagues at Novartis and the Broad we measured the proteomes of 375 cell lines from various tumor lineages (1/13)

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  12. proslijedio/la je Tweet
    23. sij

    My laboratory is recruiting a graduate student , , to study the activity and function of cellular metabolites using proteomics and metabolomics. If this interests you, please get in touch by DM (laboratory website in the works).

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  13. proslijedio/la je Tweet
    22. sij

    For ~50 years, we didn't fully know the molecular mechanism for the heart pounding, fight-or-flight response involving calcium-ion channels. Until today. by S Marx, M Kalocsay, and their colleagues

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  14. proslijedio/la je Tweet
    22. sij

    APEX proximity labeling - in beating mouse hearts! - reveals new molecular details of how the heart responds to stressful situations. Congratulations to all authors, including Marian Kalocsay from the !

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  15. 22. sij

    A rapid, pounding heartbeat is a classic symptom of the flight-or-fight response. Using APEX labeling within beating mouse hearts, Gygi lab member Marian Kalocsay and colleagues describe new molecular details behind this important physiological process.

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  16. proslijedio/la je Tweet
    21. sij

    For more information, see our bioRxiv preprint! Also follow us and check out ! This project is a collaboration between and the Harper lab () in the department. 8/8

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  17. proslijedio/la je Tweet
    21. sij

    Other results: 1) we ID ~1400 protein communities, many cell-specific. 2) we look at interactions among kinases and other families. 3) we link new proteins with CORUM complexes. 4) we combine BioPlex and to ID physically & functionally associated subnetworks. 7/8

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  18. proslijedio/la je Tweet
    21. sij

    Even when a protein’s interacting partners differ between cell lines, they tend to be functionally consistent. For example, as expected, we find that TRIM28 interacts with ~150 KRAB-domain-containing zinc-finger proteins. But we see different KRAB-Znf’s in each cell line. 6/8

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  19. proslijedio/la je Tweet
    21. sij

    Where do differences come from? Some reflect biology. The DREAM complex is disrupted in 293T due to large T antigen. And interactions among evolutionarily ‘old’ or essential proteins are consistent while interactions among ‘young’ or non-essential proteins are cell-specific. 5/8

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  20. proslijedio/la je Tweet
    21. sij

    2)The interactome remodels according to its cellular environment. We created 2 proteome-scale interaction networks in 293T and HCT116 cells. How do they compare? It depends on where you look. Core complexes are identical, but overall only 50% of interactions are shared. 4/8

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