PTI is a nonprofit focused research organization scaling proteomic technologies to explore proteome biology. A member of the @SchmidtFutures & @Convergent_FROs.

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Parallel Squared Technology Institute (PTI) retweeted
Using single-cell proteomics, we discovered protein (and functional) symmetry breaking in early mammalian embryos influencing cell fates. These proteomic asymmetries are detectable at the zygote stage, intensify by the 2-cell and 4-cell stage, and correlate with the sperm entry site, pointing to fertilization as a symmetry-breaking event. The clear protein differences allowed us to define two types of blastomeres, termed alpha and beta. ⬛ These differences predict the developmental potential of the blastomeres. Similar clustering and protein enrichment patterns found in human 2-cell embryos suggest this early asymmetry might be conserved. 1/
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Single-cell proteomics is beginning to reveal functional coordination and principles. This motivates us to keep advancing the depth, accuracy, and scalability to further empower this analysis and help identify biological principles and targetable disease mechanisms.
Beyond heterogeneity, single-cell analysis can reveal functional coherence. Coherence, regularity and principles advance science. Full recording: piped.video/watch?v=z0dIhG4C…
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Parallel Squared Technology Institute (PTI) retweeted
Beyond heterogeneity, single-cell analysis can reveal functional coherence. Coherence, regularity and principles advance science. Full recording: piped.video/watch?v=z0dIhG4C…
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Great to see multiplexed single-cell proteomics uncover new biology. We are looking forward to further increasing the plex and thus the power of the technology for biological discoveries! Congratulations to Luke Khoury and team !
Millions of PBMCs have been analyzed by scRNA-seq. Have we seen it all ? We profiled thousands of single PBMCs — proteomes and transcriptomes side by side — and uncovered functional coordination undetectable in the deepest scRNA-seq we could perform. biorxiv.org/content/10.64898… 1/
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With years of research at its foundation, Nikolai and Harrison highlight the inspiration supporting PTI's own moonshot to make single cell proteomics scalable and accessible for researchers worldwide. Thanks @cowboybearninja for the video! piped.video/9NNvkJYa43c
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Single-cell proteomics enables discoveries! It illuminates the frontiers of biomedical research.
Our latest article is out in Cell ! Together with the @MZG_Lab, we show that fertilization triggers proteomic asymmetry in mammalian zygotes, giving rise to alpha vs. beta 2-cell blastomeres with distinct developmental potential. cell.com/cell/fulltext/S0092…
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We will host a workshop in our laboratory. Register to secure a spot! Workshop participation is free with in-person conference registration but requires an advanced registration. To facilitate interactions and hands-on experience, participation is limited.
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We will host a workshop in our laboratory. Register to secure a spot! Workshop participation is free with in-person conference registration but requires an advanced registration. To facilitate interactions and hands-on experience, participation is limited.
𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁 𝘀𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗶𝘀 𝗼𝗽𝗲𝗻 ! The 9th Single Cell Proteomics Conference (#SCP2026) will take place in #Boston, July 2026. @SCP_meeting focuses on providing opportunities for scientific discussions, engaging interactions and community development.
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And, we are back with another presentation from this year's Research Fest. PTI's Senior Computational Scientist, Kevin McDonnell, talks about developing joint modeling (aka JMod) of mass spectra for empowering multiplexed DIA proteomics. piped.video/watch?v=plK4TCtw…
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Throwback Thursday continues with a presentation by Maddy Yeh and Mark Adamo from Research Fest: "Tags for improving peptide sequencing and throughput in sensitive proteomics". Watch on YouTube: piped.video/watch?v=jA2I9x61…
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It's good to look back and see how far we have come since Research Fest took place almost six months ago. Over the next few weeks, we will post some throwback videos from the presentations. Let's start with opening remarks by PTI's Director, @slavov_n: piped.video/Sc2QLXb84XI
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Our large scale measurements of protein functions and conformations can help realize the potential of AI. When developing AI models, we emphasize careful validation & rigorous benchmarking.
In this article, I shared my perspective on AI. AI excels at supervised learning, and well annotated datasets can help unlock new AI capabilities. 🔗 nature.com/articles/s42255-0… OA 🔗 rdcu.be/eI4JW
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Interpreting single-cell measurements is a challenging and promising frontier ! Solid interpretations begin with the experimental design and considerations about the information that the measurements can provide.
mRNA-mRNA correlations across the single cells from a tissue are rarely interpreted. They differ from the corresponding protein-protein correlations? 𝐖𝐡𝐲 ❓ biorxiv.org/content/10.1101/… 🧵
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@_JasonDerks is presenting at iSCMS! Come by this Saturday afternoon around 2pm to hear his talk: "Increasing proteomics throughput by multiplexing in the mass and time domains". singlecellms.org/?page_id=44…
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Multiplexed DIA enabled multimodal proteomics of ~ 10³ single cells, including quant of protein synthesis & degradation rates. Our technologies can increase the multiplexing along different dimensions (mass, time) and thus scale up throughput further. 🔽
Protein abundance is regulated by many mechanisms. We quantified them across the single cells in a mammalian tissue: 1⃣ The results revealed simple rules ! 2⃣ They may alter how you interpret single-cell DNA(RNA)-sed data. ⚠️ See @_AndrewLeduc's 🧵 biorxiv.org/content/10.1101/…
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PTI is growing and we are looking for more scientists to join our team! Neurodegenerative Disease Senior Scientist: bit.ly/4n35ND7 Computational Biologist: bit.ly/4gplQsJ Research Chemist: bit.ly/46n0Q13
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We share our technologies to maximize the benefit for the community. PSMtags enable 9-plexDIA with better sequencing and multiplexing. PSMtags support sensitive proteomic analysis of over 1,000 samples / day. parallelsq.org/psmtags
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