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scBaseCount: An AI agent-curated, standardized, auto-updated single-cell data repository

scBaseCount is presently the largest public single-cell RNA-seq repository, containing over 502 million cells across 27 organisms and 75 tissues. An AI agent autonomously discovers, annotates, and uniformly reprocesses all 10× Genomics datasets in the SRA, creating a harmonized, continually updated resource for studying the diversity of cell biology and training AI models.

An open benchmark and language models for AI in aging biology

LongevityBench, Longevity-LLMs, and Longevity Claw evaluate the readiness of the state-of-the-art AI systems for spearheading aging research.

4D spatiotemporal landscape of mitochondrial phenotypes across cellular states unlocked through representation learning

Agarwal et al. introduce MitoSpace, a self-supervised model trained on 4D lattice light-sheet microscopy data. The model resolves drug-induced mitochondrial phenotypes without labels, predicts membrane potential from morphology and dynamics, generalizes to unseen perturbations and lung organoids, and shows that representation quality improves progressively from 2D to 4D.

Predicting cellular responses to perturbation across diverse contexts with State

Modeling perturbation effects across large single-cell populations requires flexibility to capture heterogeneity. By training over sets of cells in a shared embedding space, State outperforms baselines at generalizing effects to new contexts. Cell-Eval, the framework used for this comparison, provides a comprehensive benchmark for future models.

Fifteen challenges for generative AI applications to cell biology

Drawing inspiration from Hilbert’s list of 23 mathematical problems that have focused the mathematical community’s attention for more than a century, we propose fifteen grand AI challenges to focus the biomedical community’s attention on critically relevant questions, most of which still lack effective predictive methodologies.

Dietary arginine drives codon-dependent MHC class I translation and improves immunity in colon tumorigenesis and respiratory viral infection

Arginine availability regulates arginyl tRNA levels and codon-dependent translation of MHC class I, tuning antigen presentation and shaping anti-viral and anti-tumor immunity.

Spatial proximity sequencing maps developmental dynamics in the germinal center

Sprox-seq enables spatial profiling of protein complexes, surface proteins, and mRNAs in intact tissues by combining proximity ligation with spatial transcriptomics. In human tonsils, Sprox-seq maps germinal center interaction networks, links CD21-CD35 complexes to proliferative programs, reveals interaction-based B cell state transitions, and directly captures B cell-follicular dendritic cell communication.
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