David Nusinow

@dnusinow

Computational biology postdoc studying cancer proteomics at Harvard Medical School. R, Debian, and Free Software fanboy. GWJ gravity.

Boston, MA
Vrijeme pridruživanja: travanj 2007.
16 fotografija ili videozapisa Fotografije i videozapisi

Tweetovi

Blokirali ste korisnika/cu @dnusinow

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @dnusinow

  1. 4. velj

    We hope this will be useful to the community. I plan to expand the document if needed as more questions and feedback come in. Let me know if there’s something you think should be included! 5/5

    1 reply 2 korisnika označavaju da im se sviđa
    Prikaži ovu nit
    Prikaži ovu nit
    Poništi
  2. 4. velj

    For the computational proteomics folks, I’ve replicated what I had in a poster at ASMS in 2018. It includes the wrong turns we took in normalization and the diagnostics we used to assess different normalization methods 4/5

    1 reply
    Prikaži ovu nit
    Prikaži ovu nit
    Poništi
  3. 4. velj

    For the computational biologists, we review the experimental design, the basics of how TMT works, how to interpret the normalized values, and how we’ve managed missing data. It also talks about the three replicate samples in the main data 3/5

    1 reply
    Prikaži ovu nit
    Prikaži ovu nit
    Poništi
  4. 4. velj

    Even before the data were widely released we were getting questions from two groups of people. The first was computational biology analysts without much mass spec proteomics experience. The second was the proteomics community wanting details about the normalization. 2/5

    1 reply
    Prikaži ovu nit
    Prikaži ovu nit
    Poništi
  5. 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

    I probably should have put it in the first tweet, but the manuscript is available at !
    Prikaži ovu nit
    11 proslijeđenih tweetova 18 korisnika označava da im se sviđa
    Prikaži ovu nit
    Prikaži ovu nit
    Poništi
  6. proslijedio/la je Tweet
    3. velj

    As my very first post on twitter, I am very excited to announce that our article "Identification of cancer driver genes based on nucleotide context" appeared in Nature Genetics today. Here is the link to our study:

    7 replies 50 proslijeđenih tweetova 163 korisnika označavaju da im se sviđa
    Prikaži ovu nit
    Prikaži ovu nit
    Poništi
  7. proslijedio/la je Tweet
    3. velj

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

    68 proslijeđenih tweetova 204 korisnika označavaju da im se sviđa
    Poništi
  8. proslijedio/la je Tweet
    5. stu 2019.

    Throwback to the most important slide I ever made

    502 proslijeđena tweeta 2.764 korisnika označavaju da im se sviđa
    Poništi
  9. 30. sij

    There’s engineered HEK293 lines that can be cultured in suspension!?! That’s amazing! ()

    Evolution from adherent to suspension - systems biology of HEK293 cell line development
    5 korisnika označava da im se sviđa
    Poništi
  10. 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!

    Study reveals a missing link in the mechanisms that drive the fight-or-flight response
    1 proslijeđeni tweet 4 korisnika označavaju da im se sviđa
    Poništi
  11. proslijedio/la je Tweet
    23. sij

    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

    5 proslijeđenih tweetova 18 korisnika označava da im se sviđa
    Poništi
  12. 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

    9 proslijeđenih tweetova 39 korisnika označava da im se sviđa
    Poništi
  13. 23. sij

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

    6 replies 19 proslijeđenih tweetova 47 korisnika označava da im se sviđa
    Prikaži ovu nit
    Prikaži ovu nit
    Poništi
  14. 23. sij

    There’s lots more in the paper, but we’re mostly excited to see how the community is able to use these data to advance our understanding of both cancer and basic cell biology. The data will be available with the paper, , and (13/13)

    1 reply 2 proslijeđena tweeta 18 korisnika označava da im se sviđa
    Prikaži ovu nit
    Prikaži ovu nit
    Poništi
  15. 23. sij

    Inspired by this we looked for consistent changes in other protein complexes associated with the sensitivity to different gene knockdowns and found such genes with associated complexes. These complexes hint at biochemical mechanisms underlying genetic sensitivity (12/13)

    1 reply 1 proslijeđeni tweet 8 korisnika označava da im se sviđa
    Prikaži ovu nit
    Prikaži ovu nit
    Poništi
  16. 23. sij

    Finding anything ribosome-associated with hypermutation was a surprise and the role of these complexes here is unknown. (11/13)

    1 reply 7 korisnika označava da im se sviđa
    Prikaži ovu nit
    Prikaži ovu nit
    Poništi
  17. 23. sij

    In the CCLE, we found that expected complexes like mismatch repair were downregulated in MSI, but also several unexpected including two ribosome-associated complexes, SKI and RQC, that had no previous association with MSI. (10/13)

    1 reply 8 korisnika označava da im se sviđa
    Prikaži ovu nit
    Prikaži ovu nit
    Poništi
  18. 23. sij

    We have a strong interest in protein complexes in the because of the project, which itself just announced an interaction map of the MSI cell line HCT116. So these efforts dovetailed nicely. (9/13)

    1 reply 8 korisnika označava da im se sviđa
    Prikaži ovu nit
    Prikaži ovu nit
    Poništi
  19. 23. sij

    Turning to cancer, we were interested in how the proteome, might change under extremely high mutation burden. We ended up focusing on a particular form of cancer called microsatellite instability (MSI) and found surprising changes in several protein complexes. (8/13)

    1 reply 9 korisnika označava da im se sviđa
    Prikaži ovu nit
    Prikaži ovu nit
    Poništi
  20. 23. sij

    This appears to be a broad correlated organization of the proteome that transcends tissue or pathway that’ve never seen before. This is because it doesn’t happen in RNA data. What organizes that? It looks like the mechanisms of transcription. (7/13)

    1 reply 11 korisnika označava da im se sviđa
    Prikaži ovu nit
    Prikaži ovu nit
    Poništi

@dnusinow još nije objavio nijedan Tweet.

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·