Co-founder/CEO @KPL_ApS , Proteomics researcher in Copenhagen, Denmark @UCPH_health @NNFCPR . science, technology, culture, memes and vibes.

Joined June 2008
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Our latest bioRxiv preprint characterizes our Arg-C Zero protease (available now at kplbio.com/arg-c-zero/ 😏) What you may learn might surprise you!!1!! (ie. equivalent protein group ID's to Trypsin with half the peptide IDs) #proteomics #teammasspsec
🔬 New bioRxiv preprint: Arg-C Zero, recombinant arginyl endopeptidase with >99% cleavage efficiency, proline-adjacent cleavage, Histone and labile PTMs analysis like ADP-ribosylation and comparable proteome depth to Trypsin. doi.org/10.64898/2026.05.28.… #Proteomics #TeamMassSpec
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1/5 Cell identity is written in the proteome, not in the DNA, and not always in the RNA. Out on bioRxiv today: The first cell type-resolved, MS-based proteomic atlas of the human body. biorxiv.org/content/10.64898…

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#TeamMassSpec: any independent data on dual-column LC creating subtle batch effects in LFQ proteomics? Thinking column A/B intensity shifts, missingness, RT drift, or condition-column confounding. Vendor claims are nice; real-world datasets would be nicer.
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Surprised to discover that Thermo Fisher appears to show a fake western blot for the validation of one of their p53 antibodies. I've added a diagram to show the very similar bands. This does not appear to be one of the "published figures", but their own internal data.
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Sci-Hub is an evil website that pirated 85M research papers and made them freely available And now they've added AI to their database to make Sci-Bot. It answers your questions using latest, full-text articles. But DO NOT use it. We should all try to make billion-dollar academic publishers richer. I'm putting the link below so you know how to avoid it.
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The Conehead Praying Mantis probably the craziest insect you have seen all day! | photo by Marta Albareda
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Does identifying thousands of plasma proteins mean more biology? Not always. Over half of 210 published datasets contain contamination markers reported as disease biomarkers.
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I’m looking for an automated way to read others’s scientific data without giving credit or acknowledgement, and also claim full credit for insights from it. And I want it to have a fitting name OAI: say no more
Apr 16
Introducing GPT-Rosalind, our frontier reasoning model built to support research across biology, drug discovery, and translational medicine.
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reddit.com/r/proteomics/s/gQ… Latest Bruker or Thermo #TeamMassSpec instrument for #proteomics? Please share your honest experience (anonymously if you want)! Sometimes it is more than just the specs (ie. price, robustness, maintenance, software) #massspectrometry
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ThermoFisher in a nutshell
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Our latest #proteomics product to top off our Lys-C and Trypsin offerings. A high quality optimal premix of Lys-C and Trypsin that enables reproducible proteomic analysis! Make sure to follow @kpl_aps for more exciting news and updates! #TeamMassSpec
🚀 New #proteomics product: Trypsin/Lys-C Premium Mix With the right formulation, you can add Lys-C and Trypsin together instead of sequentially. 🧪 One tube ⏱️One incubation 📉 Best-in-class missed cleavage rates 🌱 100% recombinant kplbio.com/trypsinlysc/
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Our recombinant, animal free, sustainable, artisanal 😁 Trypsin is here! High quality and high performance, drop in replacement for any existing #proteomic workflows
Introducing Trypsin RMS - our third product is here. Recombinant. Methylated. Sequencing-grade. The robust Trypsin #proteomics labs need, without the batch variability of animal-derived alternatives. Learn more: kplbio.com/trypsin/ #TeamMassSpec
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It just seems implausible this is what we are made of, essentially, nanotechnology about a billion years beyond anything we can design or make ourselves.

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Trypsin is the workhorse of bottom-up proteomics. But when was it first discovered? 🤔🤔🤔 (Answer in the comments)
50% 1836
0% 1876
50% 1897
0% 1931
2 votes • Final results
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Does enzyme quality matter in #proteomics? The study demonstrate that LysC combined with Trypsin reduces missed cleavages, ie. from 30% → 15% . And the source, quality, sequence of LysC enzymes can vary! For challenging samples, adding LysC can make a big difference!
New publication alert!📢 KPL collaborates w/ @JesperOlsenLab on the first systematic comparison of LysC enzymes for proteomics published in @JProteomeRes A. lyticus LysC: >90% cleavage efficiency, >97% specificity Read more: pubs.acs.org/doi/10.1021/acs… #TeamMassSpec #proteomics
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Replying to @MrEwanMorrison
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30 Dec 2025
“Show me the mechanism of action.” “Uh. from the p-p-perturb seq? right here. Knocks down Gene X, and the cells shift into Cluster 7." “You used fkn UMAP again. FUCK. Zoom in.” “Sorry?” “Zoom. The fuck. In.” “…Okay.” “Do you see it?” “…See what?” “He doesn’t see it. The cell biology postdoc from Stanford does not know how to see a cell. He stares at a two-million-cell embedding and doesn’t see the conflations he just planted in my S3 bucket. WHERE is the temporal resolution?” “The… what?” “Where is the time? You hit the cell with a perturbation and you measured it once. Once. That’s not a mechanism. That’s a fucking POSTCARD!” “We sequenced at 72 hours. That’s standard.” “Standard is not the same as correct. You are aliasing causality. You compressed a dynamic process into a static endpoint and you’re think you will cure metastatic cancer.” “But the differential expression is significant.” “WOW! DIFFEWENTIAL EXPRESSION IS SIGNIFICANT! WOW! WHEN THE FUCK IS IT NOT. Yes, because statistics is Mario Kart. A fantasy land where causality is optional and variance disappears if you collect enough cells. Real biology has inertia. Feedback. Competing pathways. Do you understand the difference between correlation and mechanism? Or did you flunk out of STAT 101?” “…I mean, we saw Gene X regulate Pathway Y.” “No. You saw Pathway Y exist in the same cell after you kicked it down the stairs and waited three days. That’s not even a crime scene, you dimwit. That is a post-mortem autopsy.” “The model inferred a trajectory--” “STOP the buffoonery. Do not blame the model. The model is a mirror. In this particular case, you can see it mirrors the clusterfuck you just created in my biosafety cabinet. If the reflection is warped, it’s because your measurement is warped.” “Pull up the raw counts.” “…Okay.” “Scroll. Cell 14,982. Read it to me. What does it say?” “Uh… mitochondrial genes up, ribosomal genes down-” “And?” “…And stress response markers?” “Yes. Because you poisoned the cell and waited long enough for it to panic. Where is the early signaling? Where is the metabolic inflection? Where is the first irreversible decision?” “We don’t capture that.” “Exactly. You built a platform that cannot see the mechanism. YOUR PLATFORM IS FUCKING BLIND.” “The virtual cell...showed the perturbation effect cleanly.” “Yes. because your VIRTUAL CELL IS VIRTUAL. it assumes the cell is a bag of transcripts. Do you think metabolites show up? OR AN ISOFORM? AN ISOFORM, THAT WILL DEGRADE IN THE CELL BEFORE YOU EVER REACH YOUR SENSOR? THAT ONE? YOU THINK THAT'S HOW CELLS WORK?” “So what do you want me to do?” “Delete the atlas.” “What?” “Delete it. The whole thing.” “But that’s the core result.” “It’s three weeks of garbage narrative built on a blind instrument. Delete it.” “…Now what?” “Now you rebuild the measurement. You observe the cell while the perturbation propagates. You track chemistry, not just transcripts. You capture the first divergence, not the final corpse.” “That’s… not perturb-seq anymore.” “Exactly.” door slams
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30 Dec 2025
“Show me the mechanism of action.” “Uh. from the p-p-perturb seq? right here. Knocks down Gene X, and the cells shift into Cluster 7." “You used fkn UMAP again. FUCK. Zoom in.” “Sorry?” “Zoom. The fuck. In.” “…Okay.” “Do you see it?” “…See what?” “He doesn’t see it. The cell biology postdoc from Stanford does not know how to see a cell. He stares at a two-million-cell embedding and doesn’t see the conflations he just planted in my S3 bucket. WHERE is the temporal resolution?” “The… what?” “Where is the time? You hit the cell with a perturbation and you measured it once. Once. That’s not a mechanism. That’s a fucking POSTCARD!” “We sequenced at 72 hours. That’s standard.” “Standard is not the same as correct. You are aliasing causality. You compressed a dynamic process into a static endpoint and you’re think you will cure metastatic cancer.” “But the differential expression is significant.” “WOW! DIFFEWENTIAL EXPRESSION IS SIGNIFICANT! WOW! WHEN THE FUCK IS IT NOT. Yes, because statistics is Mario Kart. A fantasy land where causality is optional and variance disappears if you collect enough cells. Real biology has inertia. Feedback. Competing pathways. Do you understand the difference between correlation and mechanism? Or did you flunk out of STAT 101?” “…I mean, we saw Gene X regulate Pathway Y.” “No. You saw Pathway Y exist in the same cell after you kicked it down the stairs and waited three days. That’s not even a crime scene, you dimwit. That is a post-mortem autopsy.” “The model inferred a trajectory--” “STOP the buffoonery. Do not blame the model. The model is a mirror. In this particular case, you can see it mirrors the clusterfuck you just created in my biosafety cabinet. If the reflection is warped, it’s because your measurement is warped.” “Pull up the raw counts.” “…Okay.” “Scroll. Cell 14,982. Read it to me. What does it say?” “Uh… mitochondrial genes up, ribosomal genes down-” “And?” “…And stress response markers?” “Yes. Because you poisoned the cell and waited long enough for it to panic. Where is the early signaling? Where is the metabolic inflection? Where is the first irreversible decision?” “We don’t capture that.” “Exactly. You built a platform that cannot see the mechanism. YOUR PLATFORM IS FUCKING BLIND.” “The virtual cell...showed the perturbation effect cleanly.” “Yes. because your VIRTUAL CELL IS VIRTUAL. it assumes the cell is a bag of transcripts. Do you think metabolites show up? OR AN ISOFORM? AN ISOFORM, THAT WILL DEGRADE IN THE CELL BEFORE YOU EVER REACH YOUR SENSOR? THAT ONE? YOU THINK THAT'S HOW CELLS WORK?” “So what do you want me to do?” “Delete the atlas.” “What?” “Delete it. The whole thing.” “But that’s the core result.” “It’s three weeks of garbage narrative built on a blind instrument. Delete it.” “…Now what?” “Now you rebuild the measurement. You observe the cell while the perturbation propagates. You track chemistry, not just transcripts. You capture the first divergence, not the final corpse.” “That’s… not perturb-seq anymore.” “Exactly.” door slams
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Thermo Fisher ($210B) is larger than Lockheed & Northrop combined Fueled by M&A roll-ups, they make billions off instruments with crappy software & expensive service contracts Why autonomous labs will need an Anduril for science instruments to suceed: ml4sci.substack.com/p/antitr…
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