Tanveer Batth

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Tanveer Batth

Tanveer Batth

@ucdmrt

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

Copenhagen, Denmark Katılım Haziran 2008
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Tanveer Batth
Tanveer Batth@ucdmrt·
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
KPL ApS@KPL_ApS

🚀 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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Andrew Côté
Andrew Côté@Andercot·
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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KPL ApS
KPL ApS@KPL_ApS·
Trypsin is the workhorse of bottom-up proteomics. But when was it first discovered? 🤔🤔🤔 (Answer in the comments)
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Tanveer Batth
Tanveer Batth@ucdmrt·
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!
KPL ApS@KPL_ApS

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/ac… #TeamMassSpec #proteomics

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Tanveer Batth
Tanveer Batth@ucdmrt·
🌶️🌶️🌶️
Parmita Mishra@parmita

“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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Parmita Mishra
Parmita Mishra@parmita·
“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
Parmita Mishra tweet media
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Charles Yang
Charles Yang@charlesxjyang·
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/antitrust-an…
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Tanveer Batth
Tanveer Batth@ucdmrt·
To everyone who's supported us, bought from us, or just followed along to see what happens ... Thank you for a great year, you're the real MVPs! 2026 pipeline is looking spicy 🌶️ new products, big announcements I think is going to make real waves in #proteomics. Stay tuned.
KPL ApS@KPL_ApS

Happy Holidays from KPL! 🎄 Our first full year: 2 product launches, lots of foundation building, and countless hours pushing #proteomics forward. Our commitment: high quality, high performance, competitive prices. No compromises. 2026 is looking exciting - stay tuned! ✨

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Ming "Tommy" Tang
Ming "Tommy" Tang@tangming2005·
1/ You think RNA equals protein? Not always. If you're doing bioinformatics without understanding biology, you're flying blind. 🧵
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Tanveer Batth
Tanveer Batth@ucdmrt·
@tangming2005 Why even measure RNA if large scale proteomics is ubiquitously available tbh? Unless the goal is specifically to study RNA regulation outside of the downstream context?
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Tanveer Batth
Tanveer Batth@ucdmrt·
If you find a figure for a presentation that has been clearly plagiarized, but the plagiarized version is slightly better for the presentation. Which one to cite if you use the plagiarized version ? (yes I'm talking about BioRender) 🤔 #science #research
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European Research Council (ERC)
European Research Council (ERC)@ERC_Research·
Based on feedback from applicants, reviewers and broader research community, the ERC Scientific Council decided to make changes in the 2026–27 calls for proposal for research funding. More details from the ERC President 👉 europa.eu/!hP3WWF What’s your take? Tell us! 👇
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Science Magazine
Science Magazine@ScienceMagazine·
The photosystem I and light-harvesting proteins of marine coccolithophores assemble into a huge molecular machine that efficiently captures, transfers, and converts light energy, demonstrating the evolutionary diversity of photosynthesis and the ultimate pursuit of light. Learn more this week in Science: scim.ag/41RCECC
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