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Posts by James Opzoomer

Video

#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

1 week ago 11 6 0 0
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Saturation editing of RNU4-2 reveals distinct dominant and recessive disorders - Nature Saturation genome editing of RNU4-2 identifies the functional and clinical impact of variants across the entire gene and delineates variants that cause a new recessive neurodevelopmental disorder distinct from ReNU syndrome.

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🧬🔬🧪

1 week ago 33 11 2 1
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stVCR: spatiotemporal dynamics of single cells - Nature Methods stVCR models and reconstructs single-cell dynamics of cell differentiation, proliferation and migration using time-series spatial transcriptome data.

stVCR models and reconstructs single-cell dynamics of cell differentiation, proliferation and migration from time-series spatial transcriptome data.

www.nature.com/articles/s41...

1 month ago 9 3 0 0
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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.

1 month ago 13 9 1 0
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🚀 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.

1 month ago 25 8 1 0
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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

1 month ago 187 87 6 8
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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.

3 months ago 89 41 2 3
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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

3 months ago 60 38 1 0
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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.

3 months ago 73 33 3 1
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My thoughts on the matter: www.nature.com/articles/s41...

4 months ago 17 9 2 2
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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.

4 months ago 17 8 2 0
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Universal consensus 3D segmentation of cells from 2D segmented stacks - Nature Methods u-Segment3D is a universal framework that translates and enhances 2D instance segmentations to a 3D consensus instance segmentation without training data. It performs well across diverse datasets, inc...

u-Segment3D: a universal framework for 2D to 3D cell segmentation that generalizes across cell types and imaging modalities.

www.nature.com/articles/s41...

5 months ago 8 3 0 0
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The Tiling Tree Method, Part 2: Common Pitfalls and How to Overcome Them How to really think of every way of solving a problem

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...

5 months ago 14 3 1 0
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CRISPR live-cell imaging reveals chromatin dynamics and enhancer interactions at multiple non-repetitive loci - Nature Biotechnology Multiplexed DNA imaging uncovers promoter−enhancer interaction dynamics and effects of epigenetic modifications.

CRISPR live-cell imaging reveals chromatin dynamics and enhancer interactions at multiple non-repetitive loci
www.nature.com/articles/s41...

5 months ago 7 4 0 0
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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

5 months ago 34 12 1 3
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Squidiff: predicting cellular development and responses to perturbations using a diffusion model - Nature Methods Squidiff is a diffusion-based model to predict transcriptomic changes in response to perturbations.

Squidiff: a diffusion-based model to predict transcriptome response to perturbations.

www.nature.com/articles/s41...

5 months ago 2 2 1 0
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TGF-β builds a dual immune barrier in colorectal cancer by impairing T cell recruitment and instructing immunosuppressive SPP1+ macrophages - Nature Genetics Targeting TGFBR1 in transplantable mouse colorectal tumor organoids improves response to anti-PD-L1 therapy. Mechanistically, TGF-β abrogates clonal expansion of T effector and memory phenotypes and i...

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...

5 months ago 47 14 1 0
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Enabling options for review: from training and transparency to author-centered AI tools - openRxiv Peer review is widely viewed as a critical aspect of biomedical communication. Ideally, it provides authors with feedback so they can improve manuscripts and gives readers, particularly nonspecialists...

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...

5 months ago 116 64 9 16
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BioContextAI is a community hub for agentic biomedical systems - Nature Biotechnology Nature Biotechnology - BioContextAI is a community hub for agentic biomedical systems

BioContextAI is a community hub for agentic biomedical systems - @puellesv.bsky.social @biocontext.ai go.nature.com/3JmqKux

5 months ago 8 5 0 1
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ESPRESSO: spatiotemporal omics based on organelle phenotyping - Nature Methods ESPRESSO leverages functional information obtained from organelles for deep spatiotemporal phenotyping of single cells.

ESPRESSO: a method that extracts functional information about organelles for deep spatiotemporal phenotyping at the single cell level.

www.nature.com/articles/s41...

5 months ago 16 3 1 0
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Exploring penetrance of clinically relevant variants in over 800,000 humans from the Genome Aggregation Database - Nature Communications Here the authors provide an explanation for 95% of examined predicted loss of function variants found in disease-associated haploinsufficient genes in the Genome Aggregation Database (gnomAD),…

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...

5 months ago 23 15 0 1
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Programming human cell type-specific gene expression via an atlas of AI-designed enhancers Differentially active enhancers are key drivers of cell type specific gene expression. Active enhancers are found in open chromatin, which can be mapped at genome scale across tissue and cell types. T...

🚀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

6 months ago 13 6 1 0
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Age and gender distortion in online media and large language models - Nature Stereotypes of age-related gender bias are socially distorted, as evidenced by the age gap in the representations of women and men across various media and algorithms, despite no systematic age differ...

When ChatGPT was asked to rate 40,000 résumés, it ranked the older male candidates as better quality than the younger female applicants.

5 months ago 755 368 52 79
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Scientists no Longer Find Twitter Professionally Useful, and have Switched to Bluesky Synopsis. Social media has become widely used by the scientific community for a variety of professional uses, including networking and public outreach. For

Looks like the science community has found a home.
academic.oup.com/icb/article-...

5 months ago 501 141 9 8
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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

7 months ago 22 16 1 1
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Cryo-mtscATAC-seq for single-cell mitochondrial DNA genotyping and clonal tracing in archived human tissues High-throughput clonal tracing of primary human samples relies on naturally occurring barcodes, such as somatic mitochondrial DNA (mtDNA) mutations detected via single-cell ATAC-seq (mtscATAC-seq). Fr...

🚨 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...

6 months ago 23 11 2 1
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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)

6 months ago 174 91 4 5

A fascinating and important read!

6 months ago 1 0 0 0
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🚨 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

7 months ago 30 7 1 1
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Review | The inventor of the web says we can recapture its magic. Is he right? In “This Is for Everyone,” Tim Berners-Lee writes about the early days of the internet and how we might restore its more democratic roots.

“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...

7 months ago 95 30 5 6