#UMAP in VR for #3DThursday! In this zebrafish embryogenesis dataset, RNA-seq + ATAC-seq across 94k+ cells reveal changing regulatory programs over time.
🥼 Yang-Joon Kim, Loic Royer @loicaroyer.bsky.social , Matthias Haury
📝 www.biorxiv.org/content/10.1...
🏛️ Biohub @biohub.org
🎬 #syGlass v2.6.0
Posts by James Opzoomer
Stunning illustration of how advances in cellular genomics can disentangle links between gene variants & clinical outcomes. Here, saturation editing revealed distinct neurodevelopmental disorders involving the same non-protein-coding gene. 🙌 @nickywhiffin.bsky.social @gregfindlay.bsky.social & co🧬🔬🧪
stVCR models and reconstructs single-cell dynamics of cell differentiation, proliferation and migration from time-series spatial transcriptome data.
www.nature.com/articles/s41...
How do immune disease-relevant variants rewire gene regulation in CD4+ T cells?
In a collaboration led by Daniel Schraivogel and Lars Steinmetz at @embl.org, we combined two large-scale CRISPRi screens (4.1M cells) to map the downstream cascades of thousands of SNPs.
🚀 New in Communications Biology:
Generative models of cell dynamics - from Neural ODEs to Flow Matching
www.nature.com/articles/s42...
We discuss modeling single-cell dynamics beyond snapshots: from cont-time Neural ODEs to simulation-free flow matching for scalable pop modeling.
Excited to share this preprint that describes my latest work on using GPUs to accelerate processing of RNA-seq data.
The title says it all: "RNA-seq analysis in seconds using GPUs" now on biorxiv www.biorxiv.org/content/10.6... and github github.com/pachterlab/k...
Figure 1 shows they key result
New preprint on technologies to scale up CRISPR screens.
We use them to map 665,856 pairwise genetic perturbations and outline a path to comprehensive interaction mapping in human cells.
We also introduce an approach for cloning lentiviral libraries with billions of elements.
TF-MINDI is out! A new method to learn cis-regulatory codes through rich embeddings of TF binding sites. TF-MINDI decomposes motif neighbourhoods, and works downstream of any sequence-to-function deep learning model. We deeply study the enhancer code in human neural development, check out the thread
Ok here it is - out of 44 FDA approvals this year, 31 are small molecules (70%), 26 of those are oral drugs (84%), 22 of them are chiral (71%). This is the largest number and percentage of chiral FDA approved molecules in a single year. Fitusiran is not a small molecule, bonus.
My thoughts on the matter: www.nature.com/articles/s41...
Looking for some Thanksgiving reading? 🦃🦃🦃
🚨Check out our new preprint on CRISPore-seq!🚨
Combining pooled CRISPR perturbations with single-cell sequencing has been tremendously powerful... but we are missing a lot with current approaches like Perturb-seq and ECCITE-seq.
u-Segment3D: a universal framework for 2D to 3D cell segmentation that generalizes across cell types and imaging modalities.
www.nature.com/articles/s41...
Just posted, "The Tiling Tree Method, Part 2: Common Pitfalls and How to Overcome Them" a follow-up to our previous essay on the "tiling tree" method for thinking of all the possible solutions to a problem, by Claire Wang, Nina Khera, and myself. engineeringx.substack.com/p/the-tiling...
CRISPR live-cell imaging reveals chromatin dynamics and enhancer interactions at multiple non-repetitive loci
www.nature.com/articles/s41...
Are you using any of our factor models, such as MOFA? 🛵
You might’ve found it challenging to tailor them to your specific use cases - not anymore!
Introducing MOFA-FLEX: a flexible, modular factor analysis framework designed for customizable modeling across diverse multi-omics data scenarios. 1/n
Squidiff: a diffusion-based model to predict transcriptome response to perturbations.
www.nature.com/articles/s41...
1/17 🧵
🙌Thrilled to share our first hard-core immunology paper out today in Nature Genetics! 👇
➡️We unravel how TGFβ suppresses the innate and adaptive immune system in microsatellite stable colorectal cancer (MSS CRC).
Very proud of the team and efforts behind it.
www.nature.com/articles/s41...
Excited to launch an openRxiv partnership with the scientist-run AI review service qed (@qedscience.bsky.social), the brainchild of @odedrechavi.bsky.social 1/n
openrxiv.org/enabling-rev...
BioContextAI is a community hub for agentic biomedical systems - @puellesv.bsky.social @biocontext.ai go.nature.com/3JmqKux
ESPRESSO: a method that extracts functional information about organelles for deep spatiotemporal phenotyping at the single cell level.
www.nature.com/articles/s41...
New study of 800K+ genomes from gnomAD reveals most “pathogenic” variants in healthy people aren’t truly disease-tolerant. They are explained by annotation errors, mosaicism, or compensatory variants. 🧬
A big step for precision medicine!
www.nature.com/articles/s41...
🚀Excited to share our new preprint: “Programming human cell type-specific gene expression via an atlas of AI-designed enhancers”
We built the largest repository of AI-designed enhancers, validated across 10 human cell lines + mouse retina.
👉 www.biorxiv.org/content/10.1...
#AI #Genomics #SynBio
When ChatGPT was asked to rate 40,000 résumés, it ranked the older male candidates as better quality than the younger female applicants.
Introducing ParTIpy, a python package for Pareto Task Inference that scales to large-scale datasets, including single-cell and spatial transcriptomics.
🔗 Manuscript: www.biorxiv.org/content/10.1...
💻 Code: partipy.readthedocs.io
🚨 New preprints from our lab! First, we introduce Cryo-mtscATAC-seq, led by Maren (@ms-maren.bsky.social ), enabling high-throughput clonal tracing from frozen human samples by isolating nuclei with their mitochondria (“CryoCells”). 👉 www.biorxiv.org/content/10.1...
We are excited to share GPN-Star, a cost-effective, biologically grounded genomic language modeling framework that achieves state-of-the-art performance across a wide range of variant effect prediction tasks relevant to human genetics.
www.biorxiv.org/content/10.1...
(1/n)
A fascinating and important read!
🚨 New preprint
We present an extended version of ScAPE, the method that won one of the prizes 🏆 in the @neuripsconf.bsky.social 2023 Single-Cell Perturbation Prediction challenge.
📄 preprint: doi.org/10.1101/2025...
🧬 code: github.com/scapeML/scape
“The free, open access communications paradigm we have did not arrive like magic. It was the product of a fair amount of political wrangling” - that's why we must continue our fight for the web.
🙏 @washingtonpost.com for reviewing 'This Is for Everyone'
www.washingtonpost.com/books/2025/0...