Tanveer Batth

Tanveer Batth

@tsbatth.bsky.social

Co-founder/CEO KPL ApS , #Proteomics researcher in Copenhagen, Denmark at Københavns Universitet, NNF Center for Protein Research #science, #technology, #culture, memes and vibes.

927 followers1K following138 posts

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🤝 Thanks to Genovis, KRysin is now commercially available, and we’re really excited to see how the community puts it to work 👀 We’re far from done in the lab, so expect us to keep flexing our skillz 💪😉

🙏 Huge thanks to Cristina Hernandez-Rollan, Claire Koenig, Chairman Mao, Jesper V. Olsen. Questions and feedback very welcome , feel free to reach out !💬

⚡ Throughput: across LC gradients from 60 to 500 samples per day, KRysin identified more plasma protein groups at every throughput (median 903 at 60 SPD, 539 at 500 SPD). That’s 21 to 31% more than Trypsin/LysC and 31 to 40% more than Trypsin 📈

🧬 Phospho time! We digested HeLa extracts at 1:50 and 1:150 enzyme-to-substrate, enriched with Ti-IMAC and ran narrow-window DIA. KRysin yielded about 25% more class I phosphosites than Trypsin/LysC (48,807 vs 39,158) 🔥

✅ Digestion completeness: across all three workflows and every timepoint, 85 to 95% of KRysin peptides had zero missed cleavages. Trypsin/LysC came in at 63 to 82%.

🎯 After 18 hours of direct digestion with minimal sample handling and prep, median proteins CVs of below 10%, while Trypsin/LysC was above 40% ... without normalization 🫣

✂️ KRysin cleaves C-terminal to lysine and arginine and generates Tryptic peptides. That means standard search settings and your existing LC-MS/MS workflow. Just swap it in.

🩸 For plasma samples we digested human platelet-poor plasma directly, after protein aggregation capture (PAC), or in urea for 1, 2 and 18 h, and acquired everything by narrow-window DIA on the Orbitrap Astral.

🤔 Why digestion? Efficiency and reproducibility at this step cap what bottom-up proteomics can measure. Missed cleavages split signal across multiple peptide forms and add variability, and complex samples like plasma are where that hurts most.

Tanveer Batth reposted

#science #peerreview

Thiago Carvalho@cyrilpedia.bsky.social

'Reviewers were paid 220 GBP per manuscript only if they completed the review on time, and the review met editorial quality expectations (...) Fast & Fair reduced time to first decision with reviews from a mean of 37.7 working days under conventional peer review to 5.5 working days.' #Preprint

Tanveer Batth reposted

Now published in Nature Communications: www.nature.com/articles/s41... The anomer collapsing advance is something we continue to use today, and we hope others may find it useful. Furthermore, this library is the largest representation to date of the human N-glycome (3x the next biggest) #glycotime

nature.comN-glycopedia: libraries for native N-glycan structural analysis - Nature CommunicationsResearchers created N-glycopedia, a reference library of 226 sugar molecules found on proteins, enabling a native glycomics method to precisely identify and measure these sugars, which influence immun...
Chris Ashwood@cashwood.proteaglyco.com

By deep characterisation of 186 N-glycan standards, we @thencfg.bsky.social have made the most comprehensive targeted LC-MS glycomic assay to date. Non-reduced native glycan analysis is key. We hope this enables anyone with QqQ and interest in #glycotime to measure specific N-glycan structures.

Super excited to be attending #ASMS2026 in San Diego with team KPL 🎉 We’ll be at the Wednesday poster sessions (June 3, 10:30–2:30) sharing the latest on KRysin — our new protease for plasma proteomics and PTM analysis. Come say hi or reach out if you’re unable to attend 👍🏽👍🏽 #ASMS #Proteomics

KPL ApS@kplaps.bsky.social

KPL ApS is heading to #ASMS2026 in San Diego ! 🔬 We'll be presenting two posters on KRysin, our latest R&D development! 📌 WP 613 – KRysin for PTM Analysis 📌 WP 092 – KRysin for Plasma Proteome Analysis Come find us! 👇 Wednesday, June 3 | 10:30 am – 2:30 pm #ASMS #Proteomics#TeamMassSpec

Our latest bioRxiv preprint characterizes our recombinant 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) www.biorxiv.org/content/10.6... #proteomics #teammasspsec

biorxiv.orgbiorxiv.org
KPL ApS@kplaps.bsky.social

🔬 New preprint from KPL ApS: Arg-C Zero, recombinant arginyl endopeptidase with >99% cleavage efficiency, R-P bond cleavage, acid-compatible labile PTM workflows, and histone analysis without derivatization. 📄 doi.org/10.64898/202... 🛒 kplbio.com/arg-c-zero/ #Proteomics #MassSpec #PTM #Enzymes

Tanveer Batth reposted

Tanveer Batth reposted

I thought it was quite mind boggling to see that around 10% of the protein in a standard yeast based bread is actually yeast protein! Here our #metaproteomics analysis of microbial protein in fermented foods pubs.rsc.org/en/Content/A... Congratulations to first authors Laura Winkler and Ayesha Awan

pubs.rsc.orgAssessing the diversity and functional profile of the “microbial proteome” in fermented foodsFermented foods are staples in diets worldwide and are known for their health benefits. Microorganisms are the key to fermented food production as they convert raw substrates into digestible, nutritio...

Tanveer Batth reposted

New OpenFold3 preview out! (OF3p2) It closes the gap to AlphaFold3 for most modalities. Most critically, we're releasing everything, including training sets & configs, making OF3p2 the only current AF3-based model that is functionally trainable & reproducible from scratch🧵1/9

Tanveer Batth reposted

🇫🇮🔬 We're at #FinnProt2026 in Espoo, Finland! Our CTO Cristina Hernandez Rollan is presenting a poster with the latest from our R&D pipeline 👀 Stop by to get an early look at what's next from KPL! #Proteomics #MassSpectrometry #TeamMassSpec

Tanveer Batth reposted

(BioRxiv All) Seamless workflow of hydroxy acid-modified metal oxide chromatography for rapid and sensitive phosphoproteomics sample preparation: Phosphoproteomics by liquid chromatography/tandem mass spectrometry requires efficient phosphopeptide enrichment, but conventional… #BioRxiv #MassSpecRSS

dlvr.itSeamless workflow of hydroxy acid-modified metal oxide chromatography for rapid and sensitive phosphoproteomics sample preparationPhosphoproteomics by liquid chromatography/tandem mass spectrometry requires efficient phosphopeptide enrichment, but conventional workflows are often time-consuming and prone to sample loss, particularly at low input. Here, we present Rapid Hydroxy Acid-Modified Metal Oxide Chromatography (Rapid HAMMOC), a streamlined, TiO2-based enrichment workflow that features three key improvements. First, we optimized the TiO2 column loading conditions and found that alternative pH-buffering agents and organic solvents, such as sodium bicarbonate combined with ethyl acetate, outperformed the commonly used Tris-based buffer with isopropanol. Second, to minimize sample loss and manual handling in desalting, phosphopeptides eluted under basic conditions were directly loaded onto a dual-membrane StageTip composed of stacked strong anion exchange (SAX) and reversed-phase styrene-divinylbenzene (SDB) membranes (SAX-SDB StageTip). Third, the addition of lauryl maltose neopentyl glycol (LMNG), which is readily removed during desalting, suppressed nonspecific adsorption. Rapid HAMMOC provided markedly improved sensitivity, identifying approximately 5,000 class I phosphosites from 5g of K562 cell digests, with a median 7.9-fold increase in intensity compared to the original workflow. Rapid HAMMOC also identified, on average, approximately 8,000 class I phosphosites from as little as 0.5 g input from HeLa, A549, and HCT116 cells. Furthermore, coupling Rapid HAMMOC with anti-puromycin immunoprecipitation enabled single-day profiling of nascent polypeptides from ultra-low input samples, yielding 2,310 high-confidence co-translational phosphosites. Beyond providing a practical enrichment workflow, this study offers broadly applicable insights that can be extended to other TiO2-based phosphoproteomic methods.

Tanveer Batth reposted

(BioRxiv All) Expanding Glycopeptide Identification with Match-Between-Glycans in FragPipe: Glycosylation is one of the most important, but also most complex, post-translational modifications of proteins, playing a pivotal role in various pathological processes. Mass… #BioRxiv #MassSpecRSS

dlvr.itExpanding Glycopeptide Identification with Match-Between-Glycans in FragPipeGlycosylation is one of the most important, but also most complex, post-translational modifications of proteins, playing a pivotal role in various pathological processes. Mass spectrometry-based large-scale glycoproteomics analysis offers a powerful approach to explore the fundamental roles of glycosylation in both physiological and pathological contexts. Traditionally, DDA glycopeptide assignment relies on information-dense MS2 spectra, containing sufficient fragmentation information to identify both the peptide and glycan moieties. Achieving this fragmentation can be difficult, especially for low-abundant glycopeptides and/or large, complex glycans. These glycopeptides are often not assigned using current data analysis software, yet they can be of biological relevance. Here, we introduce a method called match-between-glycans (MBG), which expands glycopeptide identification while maintaining the existing glycoproteome analysis workflow. MBG enables expanding the set of identified glycopeptides to include those without MS2 spectra, or with lower quality MS2 spectra, by looking for MS1 signals displaced from other identified glycopeptides by one or multiple monosaccharide unit(s). MBG can also identify glycans not included in the glycan database, such as those containing adducts or modifications, allowing these glycans to be recovered without a drastic expansion of the search space. Combined with target-decoy FDR control, we show this method is capable of accurately expanding glycopeptide identifications and providing a more complete quantitative profile of glycosylation at each glycosite. MBG is fully integrated into the glycoproteomics workflows in FragPipe, allowing seamless, one-click operation.

Tanveer Batth reposted

Maybe this is as controversial as not doing BCA before LC-MS proteomics: “match-between-glycans (MBG), which expands glycopeptide identification…MBG enables expanding the set of identified glycopeptides to include those without MS2 spectra, or with lower quality MS2 spectra,”

Kermit Murray@kkmurray.bsky.social

(BioRxiv All) Expanding Glycopeptide Identification with Match-Between-Glycans in FragPipe: Glycosylation is one of the most important, but also most complex, post-translational modifications of proteins, playing a pivotal role in various pathological processes. Mass… #BioRxiv #MassSpecRSS

dlvr.itExpanding Glycopeptide Identification with Match-Between-Glycans in FragPipeGlycosylation is one of the most important, but also most complex, post-translational modifications of proteins, playing a pivotal role in various pathological processes. Mass spectrometry-based large-scale glycoproteomics analysis offers a powerful approach to explore the fundamental roles of glycosylation in both physiological and pathological contexts. Traditionally, DDA glycopeptide assignment relies on information-dense MS2 spectra, containing sufficient fragmentation information to identify both the peptide and glycan moieties. Achieving this fragmentation can be difficult, especially for low-abundant glycopeptides and/or large, complex glycans. These glycopeptides are often not assigned using current data analysis software, yet they can be of biological relevance. Here, we introduce a method called match-between-glycans (MBG), which expands glycopeptide identification while maintaining the existing glycoproteome analysis workflow. MBG enables expanding the set of identified glycopeptides to include those without MS2 spectra, or with lower quality MS2 spectra, by looking for MS1 signals displaced from other identified glycopeptides by one or multiple monosaccharide unit(s). MBG can also identify glycans not included in the glycan database, such as those containing adducts or modifications, allowing these glycans to be recovered without a drastic expansion of the search space. Combined with target-decoy FDR control, we show this method is capable of accurately expanding glycopeptide identifications and providing a more complete quantitative profile of glycosylation at each glycosite. MBG is fully integrated into the glycoproteomics workflows in FragPipe, allowing seamless, one-click operation.

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 @kplaps.bsky.social for more exciting news and updates! #TeamMassSpec

KPL ApS@kplaps.bsky.social

🧪 Just launched: Trypsin/Lys-C Premium Mix 🚀 We found that with the right formulation, you can add Lys-C and Trypsin together instead of sequentially. So we made it 💡 ✅ One step ✅ Lowest missed cleavages in its class ✅ Fully recombinant 🪧Available now 🔗 kplbio.com/trypsinlysc/

Tanveer Batth reposted

Tanveer Batth reposted

Tanveer Batth reposted

Aside from the whisper network, how are #teammassspec finding out how much certain instrument models are down for (service delays, backordered parts, things breaking all the time, etc)?

Our recombinant, animal free, sustainable, artisanal 😁 Trypsin is here! High quality, high performance, drop in replacement for any existing #proteomics workflows. Designed and produced in 🇩🇰🇪🇺

KPL ApS@kplaps.bsky.social

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 #science #proteins #enzymes

Tanveer Batth reposted

Tanveer Batth reposted

Trypsin is the workhorse of bottom-up #proteomics. But when was it first discovered? Lets try an emoji poll ! 😇 1836 🤭 1876 😜 1897 🤑 1931 Reply with your guess! Correct answer in the replies! #TeamMassSpec

New publication alert! 📢 We collaborated with @jesperolsenlab.bsky.social to comprehensively characterize LysC homologs and study their impact on proteomic experiments. For challenging samples, adding LysC can definitely make a difference in the data quality. Congrats to all authors! #proteomics

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 believe will push the field of #proteomics forward. Stay tuned.

KPL ApS@kplaps.bsky.social

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! ✨