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Yuan et al. present S2-omics, an end-to-end workflow that automatically identifies regions of interest in histology images to maximize molecular information capture in spatial omics experiments.
della Volpe et al. augment the ex vivo expansion potential of human haematopoietic stem cells (HSCs) by inhibiting ferroptosis with liproxstatin-1 or ferrostatin-1. Treated HSCs have enhanced in vivo repopulation capacity.
Zhou et al. design protein-based artificial kinetochore constructs as decoys to prevent premature chromosomal separation in aged oocytes. These constructs compete with chromosomal kinetochores, reducing excessive bipolar microtubule pulling forces.
Liu et al. present TemporalVAE, a method for integrating single-cell time course data. The model proposes a workflow to determine the biological timing of samples and its temporally sensitive genes, enabling single-cell developmental stage inference.
The authors identify a chemical cocktail to generate totipotent-like cells, which they then use to build an embryo model. This model captures a developmental spectrum from early embryogenesis to post-implantation events.
Wu, Zhang and colleagues introduce ‘compare and contrast spatial transcriptomics’ (CoCo-ST), a graph contrastive learning-based method for spatial transcriptomics analysis that detects low-variance structures.
Gao, Li and colleagues derive trophectoderm stem cells from 32-cell mouse embryos. These cells represent an early trophectoderm state and are capable of developing into placenta cells, forming placental organoids and contributing to blastoid generation.
Kefalopoulou, Rullens et al. develop Dam&ChIC to assay chromatin state at two different time points in the same cell. The method was used to study the reorganization of LADs during cell division and X chromosome inactivation.
