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Saketh Kapoor, PhD Profile
Saketh Kapoor, PhD

@Sakethkapoor

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Associate Research Scientist & Lab Manager @yalemed | Spatial Proteomics Specialist | Cancer Proteomics | Single Cell Proteomics | Clearomics | timsTOF

New Haven, CT
Joined February 2010
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@StacyMalaker
Stacy Malaker
7 months
🚨New preprint alert!! Introducing "GlycoFASP" - a super easy method to isolate pure O-glycopeptides from complex samples. Pioneered by Shane and @keira_erol, they show that you can simply add sample + glycoprotease to a MWCO filter -> O-glycopeptides 10.26434/chemrxiv-2025-bxv0k
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@leeat_keren
Leeat Keren
7 months
Super excited to finally see this published! Our new method to use combinatorial staining and deep learning to push the multiplexing boundaries of spatial proteomics!
@NatureBiotech
Nature Biotechnology
7 months
High-dimensional imaging using combinatorial channel multiplexing and deep learning https://t.co/balOMNQew0
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@paultkim_ipd
Paul T Kim
1 year
As a scientist, David is laser-focused on developing protein design as a platform. The moment a design goal becomes well-established, he pushes the lab to move on to new modalities. For example, for a long time, the goal was to make proteins that could bind to other proteins. But
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@LabWalz
Peptide-based Immunotherapy
1 year
Now online - check out this video from @StrubeStiftung where @JulianeWalz introduces our new phase I #ClinicalTrial for an #immunopeptidomics-based #peptide #vaccine for #patients with #AML. https://t.co/dkHnMz6dew
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@nesvilab
Alexey Nesvizhskii
1 year
A protocol paper describing how to acquire and analyze multiplex DIA (mDIA) special proteomics data, with a tutorial on building a spectral library from ddaPASEF using #FragPipe. And now with diaTracer in FragPipe22, you can build a hybrid DDA+DIA library!
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link.springer.com
Spatially resolved mass spectrometry-based proteomics at single-cell resolution promises to provide insights into biological heterogeneity. We describe a protocol based on multiplexed data-independ...
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@NaturePortfolio
Nature Portfolio
1 year
Two papers in @Nature present a new genome editing technique that enables the insertion, inversion and deletion of long DNA sequences at user-specified genome positions. The approach may provide an easier method of genome editing. https://t.co/EwMQtgoTrE https://t.co/ecUGLy4l2O
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@Yanshen73854711
Yansheng Liu
1 year
So excited to host Prof. Lingjun Li @LiResearch from @UWMadison, an esteemed leader in mass spectrometry, at @YalePharm!! Join us tomorrow, June 27th, at 12:30 PM in Brady Auditorium for her talk on "Advancing Biomedical Research via Innovation in MS-based Approaches." @YaleMed
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@nesvilab
Alexey Nesvizhskii
1 year
Friends, #FragPipe 22 has been released, and it's a big update! diaTracer enables spectrum-centric analysis of diaPASEF data. Skyline integration. Koina server for more deep-learning prediction options. DDA+ mode for ddaPASEF. DIA glycoproteomics and new chemoproteomics workflows
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@Sakethkapoor
Saketh Kapoor, PhD
2 years
@Dorie00
Doris Kaltenecker
2 years
Absolutely thrilled to see our paper on a VR-trained deep learning pipeline for mapping mouse brain cells published in @NatureMethods 🤩 Retrainable via Fiji for custom data, we used it to study brain activities in cancer.
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@Karl_Mechtler
Karl Mechtler
2 years
Very nice birthday present for Albert. The first timsOmni trap is currently being delivered to Albert’s lab.
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@LabWalz
Peptide-based Immunotherapy
2 years
New mass spectrometry techniques significantly enhance the detection of HLA class I peptide ligands, paving the way for targeted vaccine and #immunotherapy development ⚡️ #immunopeptidome
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nature.com
Nature Communications - Human leukocyte antigen (HLA) class I peptide ligands (HLAIps) are targets for developing vaccines and immunotherapies. Here the authors report Thunder-DDA-PASEF, an...
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@Sakethkapoor
Saketh Kapoor, PhD
2 years
Congratulations @CosciaLab and team. Great work!!
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@ItsBiniR
Bini Ramachandran
2 years
The championship round is here.. Vote #TeamMassSpec.. Let's show CRISPR how the champions do.. https://t.co/QhzvDt65ZN
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@nesvilab
Alexey Nesvizhskii
2 years
Happy to contribute to this study. Group-specific FDR estimation is one of the strategies to control the error rates in proteogenomics searches for noncanonical peptides. There is tutorial on how to annotate the database and perform group FDR in #FragPipe:
fragpipe.nesvilab.org
A complete proteomics pipeline with the MSFragger search engine at heart
@michal_bassani
Michal Bassani-Sternberg
2 years
Our new study, spearheaded by Humberto Ferreira, is available online. We delve into the detection of HLA peptides that may originate from the translation of circRNAs. Special thanks to the @nesvilab for setting up the group-specific FDR control in FragPipe
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@TenzerLab
Tenzer Lab
2 years
Want to learn how to optimize your #DDA-PASEF acquisition for #immunopeptidomics? Use Thunder-DDA-PASEF! See our paper by @DavidGomezZep from @HITRONMainz: https://t.co/ioN3CJVqII Thanks to a wonderful collaboration with @compomics and @ChristineCARAP1!
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@dschweppe1
Devin Schweppe
2 years
#TeamMassSpec We're recruiting postdocs to work on new methods to map proteome remodeling due to chemical perturbations, aging, development, and more! If you're interested, see the job posting: https://t.co/Lr62QwEVrM and some of the lab's projects:
schweppelab.org
Chemoproteomics
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@lgamon
Luke Gamon
2 years
Yet another must read from @NanoPOTS_SCP (nice to see @fcyucn and @nesvilab on there too!). Impressive depth and throughput for 50µm spatial resolution. Proteome-scale tissue mapping using mass spectrometry based on label-free and multiplexed workflows
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biorxiv.org
Multiplexed bimolecular profiling of tissue microenvironment, or spatial omics, can provide deep insight into cellular compositions and interactions in both normal and diseased tissues. Proteome-sc...
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@tim_stasevich
Timothy
2 years
A dream of our lab has been to image the full central dogma from a single endogenous gene, all live and with single molecule resolution. After many years we are happy to unveil a beautiful cell line that makes it possible. Check out our preprint ( https://t.co/Fb7L1fYFRn)! (1/n)
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@slavov_n
Prof. Nikolai Slavov
2 years
Do you need an intro to analyzing (prote)omics data? This series of lectures may be helpful. We aimed to make them short & accessible. Enjoy watching & learning! https://t.co/OOFPs3dhXK
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