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Gygi Lab proslijedio/la je Tweet
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 https://www.biorxiv.org/content/10.1101/2020.02.03.932384v1 … 1/5https://twitter.com/dnusinow/status/1220393141011795968 …
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Gygi Lab proslijedio/la je Tweet
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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Gygi Lab proslijedio/la je Tweet
An exciting update on our Cancer Cell Line Encyclopedia: Quantified proteome profiles for 375 cell lines in
@CellCellPress.@NovartisSciencehttps://www.cell.com/cell/fulltext/S0092-8674(19)31385-6#%20 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
If you're excited about mass spectrometry, check out this year's
#MassSpecSummerSchool in Madison, Wisconsin, organized by the@Coon_Labs. The line-up of speakers looks great and includes our own@EdHuttlin. See below for additional details and to apply!https://twitter.com/Coon_Labs/status/1222561489615278080 …
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Gygi Lab proslijedio/la je Tweet
Exciting new instrument development work from Brian Erickson of the
@GygiLab and@IQProteomics : Parallel notched gas-phase enrichment for improved proteome identification and quantitation with fast spectral acquisition rateshttps://pubs.acs.org/doi/10.1021/acs.jproteome.9b00715#.XjCn-panBzA.twitter …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Gygi Lab proslijedio/la je Tweet
Congratulations to Brian,
@dschweppe1,@qingyuhms, and the rest of the authors from@GygiLab and@IQProteomics! Parallel notched gas-phase enrichment for improved proteome identification and quantitation with fast spectral acquisition rateshttps://pubs.acs.org/doi/10.1021/acs.jproteome.9b00715#.XjCr3k_eGQh.twitter …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Gygi Lab proslijedio/la je Tweet
Very impressive


big congratulations to all the authors. Must read paper for all #CancerResearch#cancer#therapy overwhelmed by seeing that much data with humongous figuresHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Gygi Lab proslijedio/la je Tweet
Proteome profiles for 375 cancer cell lines: congratulations to
@dnusinow of the@GygiLab 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 Encyclopediahttps://www.cell.com/cell/fulltext/S0092-8674(19)31385-6#.XinaR57f6bQ.twitter …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Gygi Lab proslijedio/la je Tweet
Happy Thursday! Our issue unveils a brand new look for
@CellPressNews & is full of exciting science, including
venom gland #organoids,#proteomics in#cancer &#neuroscience,#purine#metabolism,#Toxoplasma & more https://www.cell.com/cell/current# pic.twitter.com/KADXnnXh5Q
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Gygi Lab proslijedio/la je Tweet
I probably should have put it in the first tweet, but the manuscript is available at https://www.cell.com/cell/fulltext/S0092-8674(19)31385-6 … !
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Gygi Lab proslijedio/la je Tweet
I’m thrilled to announce the publication of the quantitive proteomic profiling of the Cancer Cell Line Encyclopedia. The
@GygiLab in collaboration with colleagues at Novartis and the Broad we measured the proteomes of 375 cell lines from various tumor lineages (1/13)pic.twitter.com/WXgsODMzFs
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Gygi Lab proslijedio/la je Tweet
My laboratory is recruiting a graduate student
@UPEI,@UPEI_Biology,@research_upei 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).Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Gygi Lab proslijedio/la je Tweet
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.
@nature https://www.nature.com/articles/s41586-020-1947-z … by S Marx, M Kalocsay,@Gygilab and their colleagues https://www.nature.com/articles/d41586-020-00096-3 …@NatureNVpic.twitter.com/4afS1crDKQ
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Gygi Lab proslijedio/la je Tweet
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
@GygiLab!http://disq.us/t/3lidw65Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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.http://disq.us/t/3lidw65
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Gygi Lab proslijedio/la je Tweet
For more information, see our bioRxiv preprint! Also follow us
@HMSBioPlex and check out http://bioplex.hms.harvard.edu ! This project is a collaboration between@GygiLab and the Harper lab (@jwadeharper1) in the@HarvardCellBio department. 8/8Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Gygi Lab proslijedio/la je Tweet
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
@CancerDepMap to ID physically & functionally associated subnetworks. 7/8pic.twitter.com/pa5Zxs5ApN
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Gygi Lab proslijedio/la je Tweet
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. 6/8pic.twitter.com/3DXhrlREGf
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Gygi Lab proslijedio/la je Tweet
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. 5/8pic.twitter.com/48PDsvr08s
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Gygi Lab proslijedio/la je Tweet
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. 4/8pic.twitter.com/MYf6zWlwGg
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