HMSBioPlex

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HMSBioPlex

HMSBioPlex

@HMSBioPlex

We are on a quest to map the human interactome via AP-MS. Check back here for updates on our progress! Steve Gygi, Wade Harper & Ed Huttlin HMS Cell Biology

Boston, MA, USA Katılım Ekim 2019
90 Takip Edilen496 Takipçiler
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Gygi Lab
Gygi Lab@GygiLab·
If you're going to #ASMS2025, don't miss these presentations from members of the Gygi lab! You'll learn about TMT, chemoproteomics, GoDig for targeted proteomics, leveraging @HMSBioPlex for drug discovery, new instrumentation, and much more! @edhuttlin @stshuken @AmandaLSmythers
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Ed Huttlin
Ed Huttlin@EdHuttlin·
#ASMS2025 is fast approaching, and I'm looking forward to catching up with friends and seeing a lot of great mass spectrometry research. If you’re there, check out my Tuesday talk (TOE 3:10 PM) to learn how @HMSBioPlex is enhancing drug discovery! @harvardmed @asmsnews
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Ed Huttlin
Ed Huttlin@EdHuttlin·
It’s also worth mentioning that the AP-MS data in this study was collected by the @HMSBioPlex team at @harvardmed.
Human Protein Atlas@ProteinAtlas

In a Nature article researchers from HPA and UCLA have used a machine learning approach that enables computational integration of protein localization data from IF images and AP-MS protein interaction data to create a MuSIC map of 5,100 proteins in U2-OS. proteinatlas.org/news/2025-05-2…

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HMSBioPlex
HMSBioPlex@HMSBioPlex·
Protein interaction networks are powerful tools for biological discovery, and they're even better when combined with imaging data. Want to learn more? Check out the latest MuSIC paper! @ProteinAtlas @HMSBioPlex Leah Schaffer @Clarararara_hu @Prof_Lundberg @TreyIdeker @EdHuttlin
Clara (Mengzhou) Hu@Clarararara_hu

🚨 New in Nature @Nature! 🚨 Thrilled to be a co-first author on a global cell map built from U2OS protein imaging + interaction data 🧬🌐 📝 Paper: nature.com/articles/s4158… 🗺️ Visualization portal: musicmaps.ai/u2os-cellmap/

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Ed Huttlin
Ed Huttlin@EdHuttlin·
Check out MuSIC 2.0, combining @ProteinAtlas images and @HMSBioPlex interactions to make a multi-scale model of the cell. I enjoyed working on this with @TreyIdeker, @Prof_Lundberg + their labs & collaborators. Special congrats to lead authors Leah Schaffer & @Clarararara_hu!
Clara (Mengzhou) Hu@Clarararara_hu

🚨 New in Nature @Nature! 🚨 Thrilled to be a co-first author on a global cell map built from U2OS protein imaging + interaction data 🧬🌐 📝 Paper: nature.com/articles/s4158… 🗺️ Visualization portal: musicmaps.ai/u2os-cellmap/

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HMSBioPlex
HMSBioPlex@HMSBioPlex·
It's great to see BioPlex alumnus Jose Navarrete-Perea featured in this month's issue of JASMS! While at Harvard, Jose was a key member of the BioPlex team, keeping our instruments in shape while running thousands of AP-MS samples. @asmsnews @GygiLab pubs.acs.org/doi/10.1021/ja…
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US HUPO
US HUPO@us_hupo·
Proteomics Turns 30! It is thirty years since Prof. Marc Wilkins (then an early career researcher) introduced the term "proteomics" at the International Meeting on "2D Electrophoresis: From Protein Maps to Genomes" in Sienna (Italy). #proteomics
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Gygi Lab
Gygi Lab@GygiLab·
Today we celebrated the end of an era as @qingyuhms wraps up several highly productive years in the lab! Though we'll miss him, we wish him the best as he starts his own group, and we're glad he'll still be nearby at @UMassChan.
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Qing Yu
Qing Yu@qingyuhms·
Join our dynamic team! My lab @UMassChan is seeking postdocs passionate about creating cutting-edge intelligent quantitative (chemo)proteomics platforms. Let's decode protein function and develop novel therapeutics! DM me for a chat and apply at ummsjobs.com/job/10402/
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Ed Huttlin
Ed Huttlin@EdHuttlin·
Good morning! I'm looking forward to presenting our latest @HMSBioPlex work combining PPI mapping with protein structure prediction using AlphaFold. Check it out in session MOH at 10:10 am!
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Gygi Lab
Gygi Lab@GygiLab·
If you're at #ASMS2024 in Anaheim, don't miss these exciting posters and oral presentations from @GygiLab members throughout the week!
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HMSBioPlex
HMSBioPlex@HMSBioPlex·
We are committed to experimental profiling of protein interactions, but computational methods for predicting PPI are an important complement to our work. See this paper from @ernstschmidd and Johannes Walter to learn how they use AlphaFold to predict PPI's at scale! @HMS_BCMP
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Gygi Lab
Gygi Lab@GygiLab·
Don't miss this preprint from our colleagues @ernstschmidd and Johannes Walter in @HMS_BCMP. We expect their work with AlphaFold will be an important complement to many of our proteomics projects, from @HMSBioPlex to PTM profiling, chemoproteomics, and more!
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Ed Huttlin
Ed Huttlin@EdHuttlin·
I'm looking forward to speaking at this @harvardmed Center for Computational Biomedicine meeting on protein structure prediction! I'll be talking about integrating AlphaFold structural predictions with @HMSBioPlex to dramatically improve our understanding of the interactome.
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Keşfet

@EdHuttlin @stshuken @AmandaLSmythers @harvardmed @asmsnews @ProteinAtlas @Clarararara_hu @Prof_Lundberg