I remember fondly how much fun we had with the data analysis, especially when we first identified the consistent proteomic differences between sister blastomeres. Our results exemplify why direct protein analysis is key to discovering and understanding biological mechanisms.

We acquired and analyzed the first data in Dec 2019, about 6 years ago. We ran the single-cell proteomics data through DO-MS to evaluate quality and started exploring them. After normalizing for variability between embryos, the alpha and beta clusters stood out !

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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. https://t.co/F6IUjJlccg

A beautiful demonstration of individual genes producing multiple proteoforms with different subcellular localizations. Alternative translation initiation sites generate N-terminally truncated proteoforms that localize to different cellular compartments.

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Writing facilitates thinking.

Social media is buzzing with advertisements about the expected AI benefits for research. We should also discuss and counteract its damaging effects.

Now that we can directly quantify the regulatory modes setting protein abundance in vivo, we can ask new questions: What processes selected these particular modes of regulation ? From @_AndrewLeduc's presented at @SCP_meeting: 🔗 https://t.co/O0C9q7MUNB

In Dec 2018, AlphaFold excelled at CASP13. In the 7 years since, AlphaFold & related models improved further, extending with some success to protein binding predictions. This success has motivated AI models for other problems. What are the major results ?

In a few milliseconds, these ions travel the height of a ten-story building. 𝑀𝑎𝑠𝑠 𝑠𝑝𝑒𝑐 𝑡𝑒𝑐ℎ 𝑖𝑠 𝑐𝑜𝑜𝑙 ! This animation shows how ions travel in Astral mass spectrometer.

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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.

Good protocols and metadata are essential - not optional - components of reproducible research. Let's share reproducible research.

Model predictions can be challenging to evaluate in many ways, including visualization. Outcome variability is a case in point.

This figure is embarrassing. What's more concerning is that similar AI 'results' are harder to detect in text and analysis. How do we limit such superficial & distorting AI use in scientific research ? https://t.co/NtOFNu28cB

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The interview covers the trajectory from early, high-risk ideas to robust, scalable workflows. Much has changed, and progress continues unabated. 📈 Progress has been driven by the contributions of many people and organization, including advances in sample preparation and

Effective treatments need to work at the level of proteoforms and will benefit from better understanding of proteoforms.

Increased exon-10 inclusion elevates tau with 4 microtubule-binding repeats (4R) and contributes to neuronal degeneration. Many other tau proteoforms are associated with Alzheimer’s and other neurodegenerative disorders. Proteoform dysregulation is central to pathology.

Working largely outside established academic or industry structures, Mitchell and colleagues reimagined oxidative phosphorylation from first principles and reshaped biology and biomedical research for generations to come. This Nobel-winning insight remains a powerful reminder

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An inspirational example of 𝐬𝐜𝐢𝐞𝐧𝐭𝐢𝐟𝐢𝐜 𝐜𝐫𝐞𝐚𝐭𝐢𝐯𝐢𝐭𝐲, 𝐨𝐫𝐢𝐠𝐢𝐧𝐚𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐫𝐢𝐠𝐨𝐫: Chemiosmosis remains one of the most striking examples of originality in modern biology. At a time when biochemical dogma insisted on high-energy intermediates, Peter