Ed Huttlin

@EdHuttlin

I’m a scientist and spend most of my time thinking about proteomics, mass spectrometry, and bioinformatics - especially protein interactions.

Vrijeme pridruživanja: svibanj 2017.

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  1. proslijedio/la je Tweet
    prije 21 sat

    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

    Really excited to publish this Perspective today, open access! A huge project since 2001.

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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

    Are you interested in mass spectrometry? Check out this year's in Madison, Wisconsin! I'm excited to be speaking this year and highly encourage you to apply. You will learn a ton - and Madison is a great place to visit, especially in the summer!

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  5. 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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  6. proslijedio/la je Tweet
    25. sij

    This is the HMS write up of the incredible paper published this week from member Marian Kalocsay and Steven Marx at Columbia. Proximity labeling in a living heart!

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  7. proslijedio/la je Tweet

    Study reveals a missing link in the mechanisms that drive the fight-or-flight response

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  8. proslijedio/la je Tweet

    Quantitative proteomic profiling of 375 cell lines from from Cancer Cell Line Encyclopedia

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  9. 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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  10. proslijedio/la je Tweet

    Phosphorylation is a post-translational modification with a vital role in cellular signaling. This study develops a workflow with FAIMS coupled to Orbitrap MS for a multiplexed analysis of tandem mass tag-labeled peptides

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  11. proslijedio/la je Tweet
    23. sij
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  12. 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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  13. 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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  14. 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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  15. 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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  16. 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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  17. 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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  18. 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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  19. 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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  20. 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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