Ekin Deniz Aksu

Ekin Deniz Aksu

@ekindea.bsky.social

Scientist and medical doctor. Independent Fellow for AI in Human Health @mdc-bimsb.bsky.social. Biology AI/ML methods, gene regulation, DNA sequence models, single cells.

572 followers675 following53 posts

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Ekin Deniz Aksu reposted

The achievement of Serbian students overthrowing Aleksandar Vučić can't be overstated. In 2024, they began protesting. In 2025, they transformed a protest movement into civil dissidence. In 2026, they became a political party — and two months later, crushed a corrupt state-entrenched authoritarian.

Learning how single cells respond to perturbations In this issue of Molecular Cell, we wrote a Spotlight with @bergerlab.bsky.social on the recently published State model, where we briefly discuss open problems in AI-based perturbation response prediction. authors.elsevier.com/c/1nx~I3vVUP...

Molecular Cell@cp-molcell.bsky.social

Artificial intelligence is rapidly transforming molecular biology. In this issue of Molecular Cell, we highlight recent advances at the intersection of AI and molecular biology, spanning structure prediction, design, genome engineering, and functional genomics. www.cell.com/molecular-ce...

Ekin Deniz Aksu reposted

We really need to make Meng's Big Data Paradox central to teaching, don't we? Researchers don't know this stuff bc they have never been exposed to it. But it is fundamental. (Link to paper PDF statistics.fas.harvard.edu/sites/g/file...)

Andrew Gelman et al.@statmodeling.bsky.social

The problem is noise, not N: why increasing the sample size isn’t all that. statmodeling.stat.columbia.edu/2026/10/10/t...

Ekin Deniz Aksu reposted

Ekin Deniz Aksu reposted

Ekin Deniz Aksu reposted

Our #genome still holds many mysteries… Want to help figuring out what is actually translated into proteins and how it is regulated? Our research network #ORFeus is looking for motivated #PhD students to join projects across Europe. Deadline is soon (Oct 22), have a look! www.orfeus-dn.eu/apply/

orfeus-dn.euApply to ORFeus — 15 fully funded PhD positions15 fully funded PhD positions across Europe, starting 2027. Applications open 1 October and close 22 October 2026. Rank up to three projects.

Ekin Deniz Aksu reposted

Excited to show deepSCENIC to the world! GRNs meet sequence-to-function models: explicit TF-region and region-gene links, with the power of enhancer DL models, predicting RNA & ATAC at single-cell resolution. Check out the examples in the paper or try it on your own data: github.com/aertslab/Dee...

github.comGitHub - aertslab/deepSCENIC: Deep learning for single-cell Gene Regulatory NetworksDeep learning for single-cell Gene Regulatory Networks - aertslab/deepSCENIC
bioRxiv Bioinfo@biorxiv-bioinfo.bsky.social

DeepSCENIC: transfer learning from sequence-to-function models enables causal gene regulatory network inference https://www.biorxiv.org/content/10.64898/2026.09.18.752607v1

Ekin Deniz Aksu reposted

I resigned from ExxonMobil today. I spent the last three years doing fossil fuel extraction research at both BP and ExxonMobil. Neither company is acting responsibly. They are racing to maximize extraction while the window to act closes, and gambling with our lives. More below.

Ekin Deniz Aksu reposted

In 2023, @nature.com published 'Papers and patents are becoming less disruptive over time', receiving world-wide media attention. Our Matters Arising, published after a 32 month delay (more on that soon), shows that the reported decline can largely be attributed to dataset artefacts. 🧵

Ekin Deniz Aksu reposted

Ekin Deniz Aksu reposted

1/ I'm excited to share that we're launching NECB 2026, the inaugural New England Computational Biology Symposium. Oct 1-2 at Microsoft Research New England, Cambridge. Two days of keynotes,talks, and posters to bring our community together across institutions.Space is limited. newenglandcompbio.org

In practice, you can use Corgi+ to impute DNase, ATAC or histone mark ChIP-seq experiments, only using real RNA-seq data from your sample. It does not replace an actual experiment, but it can be useful for hypothesis generation and prioritization! 6/n

Corgi reaches top accuracy in joint cross-cell type and cross-sequence functional genomics predictions (see below and Figure 2&3). Also, it does not underperform relative to Borzoi when tested cross-sequence. 4/n

We also describe Corgi+, an improved version specifically designed for the RNA-to-epigenome data imputation task. We find that it has state-of-the-art performance in this benchmark. 5/n

Classical seq2fun models (Borzoi, AlphaGenome) use separate output tracks for each biological context and assay. So if they were never trained on a particular cell type, they cannot make predictions for that cell. The context-aware approach overcomes this limitation. 2/n

We aimed to design a neural network architecture that imitates cellular gene regulation. i) input gene expression vector is limited to trans-regulators (TFs, cofactors, histone modulators, RBPs) ii) trans-features modulate cis-features with affine transformations (FiLM) 3/n

Ekin Deniz Aksu reposted

My first PhD paper is out in Nucleic Acids Research! We describe "Ab-trapping" - an antibody artifact that distorts assays relying on antibody diffusion (microscopy, CUT&Tag, CUT&RUN). The revisions made the story much stronger. Check it out! doi.org/10.1093/nar/...

doi.orgAntibody-trapping presents a widespread pitfall for microscopy and genomics in the nucleusAbstract. Chromatin has a complex 3D structure and diverse binding proteins that coordinate the genome’s most essential functions. Many microscopy and geno

Ekin Deniz Aksu reposted

I have been thinking since yesterday about why I find the 1% thing so, so disturbing. It's a visceral reaction of 'just no', which goes beyond the general yuck towards the enshittification of/via AI. I have finally put my finger on it: it is the feeling you get when

Ekin Deniz Aksu reposted

A new Science study shows that bumble bees can position a ball underneath a fake “flower” to reach a reward, suggesting they can exhibit spontaneous problem-solving and challenging the notion that such advanced cognitive abilities are exclusive to large-brained vertebrates. https://scim.ag/4vs08dC

Ekin Deniz Aksu reposted

Exciting breakthrough technology from the lab, now live in @cellcellpress.bsky.social ! Instead of cutting the genome where proteins bind (e.g., Cut&Tag), D&D-seq scars the DNA with a deaminase, allowing single cell genome mapping of TFs and chromatin remodellers!

We analyse different modeling strategies for in vivo TF binding site predictions. Benchmarks are very challenging, going up to simultaneous cross-TF, cross-cell type and cross-chromosome predictions. 2/2

Does this mean the end of the central dogma?

Pujuan Poppy Deng@poppy-pujuan-deng.bsky.social

I am so excited to share our new findings with you! We provide the structural evidence for a direct protein-to-DNA information pathway, showing how a bacterial enzyme 'reads' its own structure to 'write' DNA. www.science.org/doi/10.1126/...

Ekin Deniz Aksu reposted

Spectral multiplexing is typically limited to 4-5 channels. Our new preprint introduces a framework that utilizes DNA barcoding and signal tuning to enable robust spectral unmixing and ground-truth benchmarking to achieve 15-plex subcellular profiling without cycling www.biorxiv.org/content/10.6...

Kristina@jekristina.bsky.social

Ever felt constrained by the "4-color limit" in fluorescence imaging? We use DNA-barcoded labeling to build high-plex panels, enabling imaging of 15 targets across the full fluorescence spectrum. doi.org/10.64898/202... Grateful to @sinemsaka.bsky.social and all authors for making this possible.

Ekin Deniz Aksu reposted

Ekin Deniz Aksu reposted

MPRAs are the gold-standard tool for measuring how DNA sequences drive gene expression and prioritizing variant effects. In this preprint we asked: does it matter WHERE you place a variant in an MPRA? Spoiler: yes, and it might lead you to miss disease-causing variants. 1/6 doi.org/10.64898/202...

biorxiv.orgPosition-dependent variant effects reveal importance of context in genomic regulationGene expression is governed by the DNA sequence, which is read out through complex interactions between transcription factors (TFs), co-activators, and chromatin. Massively Parallel Reporter Assays (MPRAs) provide a high-throughput framework for functionally characterizing how regulatory DNA sequences impact the expression of a model gene. MPRAs have also proven to be useful for measuring the effects of genetic variation, where each allele is typically tested in the center of ~200 bp of genomic context cloned into the MPRA, but the impact of variant position and local context remains largely unexplored. In this study, we systematically investigate how shifting the position of a variant within an MPRA probe influences its regulatory activity using models that predict expression in MPRAs from DNA sequence. We find that while the direction of variant effects is usually preserved across positions, the magnitude of expression changes can vary substantially depending on where the variant is placed within the construct. This positional bias appears to be largely explained by the strong position-dependent activity of TFs whose binding the variants perturb. In a subset of cases, interactions consistent with cooperativity between TFs also contribute to position-specific effects. ~1% of variants appear to disrupt RNA polymerase III (Pol III) promoters within Alu elements, resulting in position-specificity because both A and B boxes are required for function and exclusion of either motif due to window shifts disrupts the variants' effects. However, we saw little evidence to support the hypothesis that the positional dependence of variant effects resulted from the redundancy of motifs. Overall, our study demonstrates the complexity of cis-regulatory grammar and how it can confound the interpretation of regulatory variants. ### Competing Interest Statement R.T. has filed intellectual property related to MPRA and MPRA models. The other authors declare no competing interests.

Ekin Deniz Aksu 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

This week I was at the amazing AI and Biology conference at @embl.org I had the chance to meet with so many brilliant researchers and was inspired by many talks. Also presented Corgi of course! Thanks to all the organizers! #EESAIBio

Ekin Deniz Aksu reposted

🧬 How do immune disease-relevant variants affect gene regulatory networks in CD4+ T cells? 🧪🖥️ We coupled two large-scale CRISPRi screens (>4M cells) to map the downstream cascades of thousands of SNPs More details in the thread below 👇 or in the article 📖 on biorxiv tinyurl.com/CD4screens

Ekin Deniz Aksu reposted