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Fran Supek

@fransupek.bsky.social
377 followers 490 following 54 posts

🧬Genetics geek, 🤖AI enthusiast. PI @GenomeDataLab studying DNA repair, mutations, epigenome & NMD. 2xERC, professor @bric-ucph.bsky.social, GL @irbbarcelona.org and BRIC/KU. 🎲Chaotic good.

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Fran Supek @fransupek.bsky.social · 16/07/2026
V nice summary of the novelty & impact of our MutFormer preprint by the @qedscience.bsky.social reviewbot, have a look 👇 &/| read "Transformer models of mutation risk at base-pair resolution identify non-coding hotspot cancer driver mutations" on bioRxiv www.biorxiv.org/content/10.6... 👏👏 team!
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Fran Supek @fransupek.bsky.social · 16/07/2026
These candidates include overlooked deep-intronic, splice-altering hotspot mutations e.g. PTEN. Excitingly, we see strong driver potential of promoter hotspots at 3 genes, incl. SHKBP1 (can regulate EGFR trafficking) and PRSS3 (mesotrypsin). These match the support for well-known TERT mutations.
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Fran Supek @fransupek.bsky.social · 16/07/2026
🔥We then tested recurrent mutation hotspots across a whopping 18,000 WGS The sobering (somewhat expected) result 😒: most recurrent hotspots in cancers are likely passengers The exciting result 😍: a small subset of non-coding hotspots remains far too recurrent to be explained by mutability alone
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Fran Supek @fransupek.bsky.social · 16/07/2026
MutFormer learns mutation risk directly from the DNA sequence around each base. It does so separately for 40 mutational mechanisms. Trained on ~100 million mutations, MutFormer found that risk often depends on up to 20 (!) neighboring nucleotides, far beyond the usually considered 3-letter context.
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Fran Supek @fransupek.bsky.social · 16/07/2026
We built MutFormer AI model to separate these two possibilities: operating at single-nucleotide resolution, it separates “driver” from “passenger” hotspots. www.biorxiv.org/content/10.6... (awesome work by Ivan Galvan 🔝 & Marcell Veiner, w/ Dani Naro 👏)
biorxiv.org
Transformer models of mutation risk at base-pair resolution identify non-coding hotspot cancer driver mutations
Recurrent somatic mutations reveal cancer drivers, but in whole genomes many non-coding hotspots are passengers generated by localized mutational processes. We developed MutFormer, a transformer/convo...
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Fran Supek @fransupek.bsky.social · 16/07/2026
♨️Hot off the press, new study from our group: 🧬🤖 DNA language model for predicting mutation risk trained on massive genomic data sets A mutation seen again and again across cancer genomes looks like a causal change. But sometimes the DNA site is simply very easy to mutate & so generates a hotspot🔥
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Fran Supek @fransupek.bsky.social · 10/07/2026
p.s. very happy the @qedscience.bsky.social AI-powered “validity engine” placed our study in the top 1% 🤩 We take reviewbot results with a grain of salt, but we like the outcome nonetheless😜 Proud of the @genomedatalab.bsky.social team 🔝Marcel 🔝Adam 🔝 Maia! 👏👏👏
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Fran Supek @fransupek.bsky.social · 10/07/2026
The mutational signatures successfully “travelled” to actual cancer genomes. Our predictive models could identify which MMR gene broke down in a tumor. We also think that subtle MMR defects fly under the conventional MSI “radar”: ~10% of MSS tumors exhibited a MMR-intermediate (MMRi) state in WGS.
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Fran Supek @fransupek.bsky.social · 10/07/2026
❓❔ Why does that matter? We think “MMR-deficient” tumors are not all equivalent. Microsatellite instability, a widely used marker in cancer research and diagnostics, is better viewed as a multidimensional phenotype, not a simple MSI-H vs MSS switch.
AI generated conceptual overview of the study describing multidimensional nature of MMR deficiency phenotypes
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Fran Supek @fransupek.bsky.social · 10/07/2026
This generated >2 million mutations in a controlled experimental system; a massive compendium for understanding how DNA repair🛠️ works, including genetic interactions within MMR and with other repair pathways. 👇 www.biorxiv.org/content/10.6...
biorxiv.org
Multidimensional mutational phenotypes of MMR deficiency in human cancer cells
Mismatch repair deficiency (MMRd) is a central driver of cancer genome evolution, yet it is commonly reduced to a binary MSI-high versus microsatellite-stable call. Here we combine multiplex CRISPR/Ca...
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Fran Supek @fransupek.bsky.social · 10/07/2026
We applied combinatorial gene editing using CRISPR/Cas12a ✂️to human cells, building 58 single and *pairwise* DNA-repair k.o.🥊genotypes. We let mutations accumulate over months, then read out the consequences in single cell-derived clones by WGS.
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Fran Supek @fransupek.bsky.social · 10/07/2026
Trouble with different parts of the MMR machinery is "recorded" in the genome sequence as distinct mutational patterns🧬. We worked out which pattern means what. Amazing collab work led by Marcel McCullough and Adam Poti, with Maia Munteanu, at @irbbarcelona.org + @ucph.bsky.social! Bravo, team!
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Fran Supek @fransupek.bsky.social · 10/07/2026
DNA mismatch repair (MMR) deficiency is an important driver of cancer genome instability. Yet it is usually treated as a binary label 0️⃣/1️⃣: MSI-high or not. Our new preprint -- fresh from the oven🔥 -- argues that this simple dichotomy obscures the underlying biology.
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Reposted by Fran Supek
CRUK Convergence Science Centre @crukconvergence.bsky.social · 08/06/2026
🔬 @fransupek.bsky.social ( @bric-ucph.bsky.social) - how #DNA repair defects drive cancer evolution 💻 Dr Syed Haider ( @icr.ac.uk ) - using large-scale cancer #genomics #data to uncover synthetic lethal interactions and identify new therapeutic vulnerabilities. More information 👉 buff.ly/JHRhnJi
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Reposted by Fran Supek
Bernardo Rodríguez Martín @bernardo-rodriguez.bsky.social · 03/06/2026
📢📢 Job opening between the Bioinformatics Unit and my group (REPBIO) at @crg.eu Interested in contributing to our efforts to leverage long-read sequencing technologies for human genome research? Join us in Barcelona: recruitment.crg.eu/content/jobs... Please repost😊
recruitment.crg.eu
Bioinformatician | CRG Online Recruitment Portal
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Fran Supek @fransupek.bsky.social · 26/03/2026
Great collaboration between @genomedatalab.bsky.social at @irbbarcelona.org / @bric-ucph.bsky.social and the @benlehner.bsky.social group at @crg.eu / @sangerinstitute.bsky.social 👉Read our NMDetective-AI study www.biorxiv.org/content/10.6...
biorxiv.org
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Fran Supek @fransupek.bsky.social · 26/03/2026
Cells can destroy mRNAs with premature🛑stop, frameshift or splice #mutations via NMD pathway. But whether a given variant is silenced ✂️is often predicted using a few hand-crafted NMD rules. We asked: can this be modeled quantitatively, across human genes, w/both #AI and experiment?
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Fran Supek @fransupek.bsky.social · 26/03/2026
✂️🧬preprint! "Quantitative prediction of nonsense-mediated #mRNA decay across human genes by #genomic language #model & large-scale mutational scanning" Fantastic teamwork by @IgnasiToledano 👨‍🔬and @MarcellVeiner👨‍💻. We combine massive experiment and sequence AI to elucidate NMD👇
AI-generated cartoon of a computational biologist and wet-lab biologist collaborating on a research project
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Fran Supek @fransupek.bsky.social · 02/02/2026
On the heels of the release of #AlphaGenome, we have written up a review on 🧬genomic language models for DNA/RNA, out in EMBO @molsystbiol.org journal 🔖"The DNA dialect: a comprehensive guide to pretrained genomic language models" by Marcell Veiner👏 & yours truly👇 link.springer.com/article/10.1...
Figure 1: Data modalities of genomic language models. From review article "The DNA dialect: a comprehensive guide to pretrained genomic language models" by Veiner and Supek.
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Fran Supek @fransupek.bsky.social · 24/01/2026
We also have a PhD student position open. Application deadline 10.2. 👇 candidate.hr-manager.net/ApplicationI...
candidate.hr-manager.net
PhD fellowship in AI for Single-Cell Disease Genomics at the Supek Group, BRIC
We are offering a PhD fellowship in AI for Single-Cell Disease Genomics commencing 1 May 2026, or soon thereafter (flexible start date). The PhD project is part
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Fran Supek @fransupek.bsky.social · 22/01/2026
Ideal positions for recent bioinformatics/genomics/compbiol PhDs looking to pivot towards AI 🖥️ 🧠 & to do impactful science. Also great for computer science people looking to get into genomics. 🧬 1️⃣ candidate.hr-manager.net/ApplicationI... 2️⃣ candidate.hr-manager.net/ApplicationI...
candidate.hr-manager.net
Postdoc in AI for Knowledge Graphs in Genomics
We are looking for a highly motivated and dynamic postdoc for a 3-year position, to commence 15th April 2026, or soon thereafter (flexible start date). The PhD
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Fran Supek @fransupek.bsky.social · 22/01/2026
We're recruiting 2 postdocs👩‍💻👨‍🏫 on the "A-SOuRCCE" project: 1️⃣AI for Knowledge Graphs in Regulatory Genomics (auto extraction, organization and querying of knowledge) 2️⃣Agentic AI for Scientific Discovery in Genomics (LLMs for hypothesis generation and assessment) Apply below! 👇 Deadline soon: 10.2.
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Fran Supek @fransupek.bsky.social · 15/01/2026
Big thanks to my awesome lab members 💯 @genomedatalab.bsky.social, and to present & past host institutions who helped shape this vision @bric-ucph.bsky.social 🥳 @irbbarcelona.org 🙌 @crg.eu 🎉@institutrb.bsky.social🙏 Now let’s get to work!🔬🤖 Will be recruiting PhDs/postdocs soon, watch this space...
AI-generated cartoon illustrating a team of researchers working on A-SOuRCCE
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Fran Supek @fransupek.bsky.social · 15/01/2026
By integrating AI agents with knowledge graphs grounded in biological fact, our discovery engine will: - auto-generate mechanistic hypotheses 🧬 - assess their novelty 💫 and plausibility 🧠 - validate against population genetics (GWAS) data 📊 This will accelerate pathway: data -> mechanism -> target
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Fran Supek @fransupek.bsky.social · 15/01/2026
Delighted to share that our project on agentic AI for genomic science has been funded!🌟 We secured 1.7M € from @novo-nordisk.bsky.social in “Data Science Investigator: Distinguished” - v grateful!🙏 A-SOuRCCE stands for "AI for Single-cell Omics and Reproducible Cardiometabolic & Cancer Exploration"
AI-generated cartoon to illustrate the central idea of the A-SOuRCCE project
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Fran Supek @fransupek.bsky.social · 02/01/2026
Overall: human DNA replication origins usage isn't a roll of the dice 🎲 it’s genetic potential gated by epigenetic context 👏Huge congrats to lead authors Marcell Veiner & Marina Salvadores - bravo for excellent teamwork! Read the full study here...👇 www.biorxiv.org/content/10.6...
biorxiv.org
Intrinsic DNA sequence determinants and tissue-specific regulation of human replication origins
The accurate duplication of the genome relies on the spatiotemporal control of DNA replication initiation, yet the determinants specifying mammalian origin locations remain elusive. By developing ORIF...
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Fran Supek @fransupek.bsky.social · 02/01/2026
2) the "software" 🩸🫁DNA is same in every cell - why do colon/lung/... cells copy differently? 🦀We tracked "fossil" mutations in cancer genomes to decode tissue-specificity 🧬Local chromatin environment acts as a switch, turning the hard-coded sites ON or OFF in each tissue
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Fran Supek @fransupek.bsky.social · 02/01/2026
1) the "hardware" 💻🧠 We trained a deep learning model (ORIFormer), revealing replication initation is "hard-coded" in DNA by specific sequence motifs, like ZNF770 sites 🧬 The genome has a built-in map of potential start sites, w/ complex "grammar" that was previously elusive
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Fran Supek @fransupek.bsky.social · 02/01/2026
📢new study @genomedatalab.bsky.social When a cell divides, it copies 3 billion DNA letters. How does it know where to begin? ⁉️For years, the field debated if replication initiation was random or strict 📜Our preprint uses AI + mutation signatures to show it’s a precise, two-part system
AI-generated graphical summary of the DNA replication origins study
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Fran Supek @fransupek.bsky.social · 09/12/2025
👉Read the study by Zadra, Orsolic et al. "Dual inhibition of the nonsense mediated mRNA decay enhances tumour immunogenicity, drives immunoediting, and potentiates checkpoint blockade" as a biorxiv preprint, fresh from the oven: www.biorxiv.org/content/10.6...
biorxiv.org
Dual inhibition of the nonsense mediated mRNA decay enhances tumour immunogenicity, drives immunoediting, and potentiates checkpoint blockade
Immune checkpoint blockade has transformed cancer therapy, but current biomarkers such as tumour mutation burden often fail to reliably predict clinical benefit. One proposed reason for this discrepan...
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Fran Supek @fransupek.bsky.social · 09/12/2025
➡️ We trained protein language model on these datasets of mutations from tumors treated by NMDi. A fine-tuned 💻AI model successfully learned to identify immunogenic neopeptides, capturing features that go beyond standard MHC-binding predictions.
AI-generated cartoon displaying simplified concept
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Fran Supek @fransupek.bsky.social · 09/12/2025
➡️ Our mRNA data adds to the mounting literature that abberant splicing in cancer (esp intron retention) could contribute to making tumors immune-hot. 💊NMD inhibiton is extremely helpful in exposing these tumor splicing errors.
AI-generated cartoon displaying simplified concept
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Fran Supek @fransupek.bsky.social · 09/12/2025
➡️ Using WGS, we tracked the evolutionary footprint of treatment. We observed strong "immunoediting" -- a negative selective pressure against immunogenic mutations -- thus NMD inhibition makes tumors highly visible to the immune system.
AI-generated cartoon displaying simplified concept
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Fran Supek @fransupek.bsky.social · 09/12/2025
Our team's contribution @irbbarcelona.org (led by the mighty postdoc 🤓 Davor Orsolic) and yours truly at Biotech Research & Innovation Centre (BRIC), UCPH_Research dived into the 🧬 tumor genomics and computational modeling. www.biorxiv.org/content/10.6... read more!👇
biorxiv.org
Dual inhibition of the nonsense mediated mRNA decay enhances tumour immunogenicity, drives immunoediting, and potentiates checkpoint blockade
Immune checkpoint blockade has transformed cancer therapy, but current biomarkers such as tumour mutation burden often fail to reliably predict clinical benefit. One proposed reason for this discrepan...
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Fran Supek @fransupek.bsky.social · 09/12/2025
In a synergy with the @TheAnaJanic lab @UPFBarcelona, who led the study spearheaded by Ivan Zadra 👏, we investigated how inhibiting the cellular quality-control mechanism known as NMD can force lung tumors in 🐁 to reveal their hidden mutations to the immune system.
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Fran Supek @fransupek.bsky.social · 09/12/2025
Excited to share our latest collaborative study of a frontier approach in cancer immunotherapy, targeting the Nonsense-Mediated mRNA Decay (NMD) pathway. Read more in a short 🧵+ link to preprint is below:
Figure summarizing NMD from a review article Supek, Lehner and Lindeboom (2021) Trends in Genetics.
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Fran Supek @fransupek.bsky.social · 18/11/2025
bric.ku.dk candidate.hr-manager.net/ApplicationI...
bric.ku.dk
BRIC – University of Copenhagen
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Fran Supek @fransupek.bsky.social · 18/11/2025
📣 Attention postdocs in the life sciences! Are you ready to take the big leap? Start your lab at the Biotech Research and Innovation Centre in Copenhagen! 🇩🇰 @bric-ucph.bsky.social Collegial atmosphere, cutting-edge science, core funding. (+the weather is wonderful, relative to Siberia😁) Apply!👇
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Fran Supek @fransupek.bsky.social · 18/11/2025
Congrats to colleagues from IRB!
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Fran Supek @fransupek.bsky.social · 29/09/2025
Check out the full story here: "Variable efficiency of nonsense-mediated mRNA decay across human tissues, tumors and individuals" genomebiology.biomedcentral.com/articles/10.... 👏👏to Guille for marvelous work!
genomebiology.biomedcentral.com
Variable efficiency of nonsense-mediated mRNA decay across human tissues, tumors and individuals - Genome Biology
Background Nonsense-mediated mRNA decay (NMD) is a quality-control pathway that degrades mRNA bearing premature termination codons (PTCs) resulting from mutation or mis-splicing, and that additionally participates in gene regulation of unmutated transcripts. While NMD activity is known to differ between examples of PTCs, it is less well studied if human tissues differ in NMD activity, or if individuals differ. Results We analyzed exomes and matched transcriptomes from Human tumors and healthy tissues to quantify individual-level NMD efficiency, and assess its variability between tissues, tumors, and individuals. This was done by monitoring mRNA levels of endogenous NMD target transcripts, and additionally supported by allele-specific expression of germline PTCs. Nervous system and reproductive system tissues have lower NMD efficiency than other tissues, such as the digestive tract. Next, there is systematic inter-individual variability in NMD efficiency, and we identify two underlying mechanisms. First, somatic copy number alterations can robustly associate with NMD efficiency, prominently the commonly-occurring gain at chromosome 1q that encompasses two core NMD genes: SMG5 and SMG7 and additional functionally interacting genes such as PMF1 and GON4L. Second, deleterious germline variants in genes such as the KDM6B chromatin modifier can associate with higher or lower NMD efficiency in individuals. Variable NMD efficiency modulates positive selection upon somatic nonsense mutations in tumor suppressor genes, and is associated with cancer patient survival and immunotherapy responses. Conclusions NMD efficiency is variable across human tissues, and it is additionally variable across individuals and tumors thereof due to germline and somatic genetic alterations.
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Fran Supek @fransupek.bsky.social · 29/09/2025
Why care? Our prior work (Lindeboom et al., reviewed in www.cell.com/trends/genet... ) + Guille paper supports that NMD 🛑modulates selection on somatic nonsense "driver" mutations 🛑associates w/cancer (immuno)therapy💊response (neoantigens!) 🛑linked w/ severity of inherited genetic disease 👇
cell.com
To NMD or Not To NMD: Nonsense-Mediated mRNA Decay in Cancer and Other Genetic Diseases
The nonsense-mediated mRNA decay (NMD) pathway degrades some but not all mRNAs bearing premature termination codons (PTCs). Decades of work have elucidated the molecular mechanisms of NMD. More recent...
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Fran Supek @fransupek.bsky.social · 29/09/2025
Interestingly, genetic variants can change global NMD efficiency in an individual🤔 🧬 inherited variants - SNVs in KDM6B chromatin modifier gene 🧬 somatic variants - copy number alterations at chromosome 1q (SMG5, SMG7...) Nice IRB writeup here 👇 www.irbbarcelona.org/en/news/scie...
irbbarcelona.org
A key genetic safeguard works differently across tissues and individuals
A puzzling question in molecular biology has been why our bodies do not uniformly eliminate faulty genetic information—especially that which could lead to disease. A key mechanism responsible for this...
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Fran Supek @fransupek.bsky.social · 29/09/2025
🛑Guille's @guillepalou.bsky.social no-nonsense 😉 paper is out in @springernature.com Genome Biology! We report variable activity of the NMD pathway (mRNA QC) across tissues & individuals: 🧠less active in the nervous system & in reproductive tissues 🩸more active in digestive tract, muscle, blood
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Fran Supek @fransupek.bsky.social · 28/09/2025
Full dataset here 👇 elsevier.digitalcommonsdata.com/datasets/btc...
elsevier.digitalcommonsdata.com
August 2025 data-update for "Updated science-wide author databases of standardized citation indicators"
Citation metrics are widely used and misused. We have created a publicly available database of top-cited scientists that provides standardized information on citations, h-index, co-authorship adjusted...
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Fran Supek @fransupek.bsky.social · 28/09/2025
Fantastic to be in such great company!🤩 👏Congrats to 19 colleagues from my institutions (🇩🇰BRIC @UCPH_health and 🇪🇸@IRBBarcelona) in this year's Elsevier/Stanford top 2% most cited researchers list
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Fran Supek @fransupek.bsky.social · 04/09/2025
Thanks to organizers for inviting!
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Reposted by Fran Supek
IRB Barcelona @irbbarcelona.org · 08/07/2025
🧬New approach to decoding mutational signatures improves prediction of prognosis in #OvarianCancer. 📰 #GenomeMedicine ✍️ Patricia Ferrer-T Iván Galván-F & @fransupek.bsky.social ➡️ bit.ly/4nA579b 📌DOI: 10.1186/s13073-025-01497-7 @genomedatalab.bsky.social @bric-ucph.bsky.social 🧪
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Fran Supek @fransupek.bsky.social · 01/07/2025
Congrats to our CRISPy fresh doctor 👏👏 Marcel McCullough for successfully defending his PhD thesis: 🧬✂️"Combinatorial Gene Editing in Human Cells to Model Deficiencies of DNA Repair in Cancer" Thx to committee members Julian Ceron, Laura Valle and David Szuts for a great discussion!
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Fran Supek @fransupek.bsky.social · 03/06/2025
Join us at BRIC/FinsenLab -- start your group at the University of Copenhagen!
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Fran Supek @fransupek.bsky.social · 14/05/2025
Why care? This gives: -new resistance biomarkers (eg MAP2K4 in breast) -framework to compare pre/post-treatment genomes -warning about "driver genes" that are evol. relics Huge thanks to funders & bravo to our Ahmed K.!👏 ➡️Nice @irbbarcelona.org write-up: www.irbbarcelona.org/en/news/scie...
irbbarcelona.org
DiffInvex reveals how cancers rewire driver genes to beat chemotherapy
Just as species adapt over generations, our body’s cells accumulate DNA changes throughout life. Most are harmless, yet a few “driver” mutations give a cell a competitive edge and can spark cancer. Ch...
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