bims-gerecp Biomed News
on Gene regulatory networks of epithelial cell plasticity
Issue of 2025–05–04
five papers selected by
Xiao Qin, University of Oxford



  1. Annu Rev Biomed Eng. 2025 May;27(1): 157-183
      Over the last decade, a plethora of organoid models have been generated to recapitulate aspects of human development, disease, tissue homeostasis, and repair. Organoids representing multiple tissues have emerged and are typically categorized based on their origin. Tissue-derived organoids are established directly from tissue-resident stem/progenitor cells of either adult or fetal origin. Starting from pluripotent stem cells (PSCs), PSC-derived organoids instead recapitulate the developmental trajectory of a given organ. Gene editing technologies, particularly the CRISPR-Cas toolbox, have greatly facilitated gene manipulation experiments with considerable ease and scalability, revolutionizing organoid-based human biology research. Here, we review the recent adaptation of CRISPR-based screenings in organoids. We examine the strategies adopted to perform CRISPR screenings in organoids, discuss different screening scopes and readouts, and highlight organoid-specific challenges. We then discuss individual organoid-based genome screening studies that have uncovered novel genes involved in a variety of biological processes. We close by providing an outlook on how widespread adaptation of CRISPR screenings across the organoid field may be achieved, to ultimately leverage our understanding of human biology.
    Keywords:  CRISPR-Cas; genetic engineering; genome screening; human organoids; pluripotent stem cells; tissue-derived organoids
    DOI:  https://doi.org/10.1146/annurev-bioeng-103023-122327
  2. Science. 2025 May;388(6746): eadp2959
      Stem cells are a promising source for cellular therapies across many diseases and tissues. Their inherent ability to differentiate into other cell types has been the focus of investigation over decades. This ability is currently being exploited for therapies using strategies to repair or replace damaged tissues and cells or to alleviate immune rejection. Exploring stem cell function has enabled direct reprogramming approaches, for example, through the production of induced pluripotent stem cells and the generation of tissue-specific stem cells. Understanding stem cell function has emerged as an important strategy for repopulating stem cell pools or generating differentiated cells for therapy. Here, we review general principles of mammalian stem cell biology and cellular reprogramming approaches and their use for current and future therapeutic purposes.
    DOI:  https://doi.org/10.1126/science.adp2959
  3. Cell Stem Cell. 2025 May 01. pii: S1934-5909(25)00140-7. [Epub ahead of print]32(5): 673-675
      Metabolic regulation of embryonic development is increasingly recognized. Villaronga-Luque et al.1 and Stopornwongkul et al.2 show that metabolic activity influences gastruloid formation from mouse embryonic stem cells, revealing that the balance between glycolysis and oxidative phosphorylation regulates cell fate decisions during gastruloid self-organization.
    DOI:  https://doi.org/10.1016/j.stem.2025.04.005
  4. Nat Commun. 2025 Apr 26. 16(1): 3941
      Mapping enhancers and target genes in disease-related cell types provides critical insights into the functional mechanisms of genome-wide association studies (GWAS) variants. Single-cell multimodal data, which measure gene expression and chromatin accessibility in the same cells, enable the cell-type-specific inference of enhancer-gene pairs. However, this task is challenged by high data sparsity, sequencing depth variation, and the computational burden of analyzing a large number of pairs. We introduce scMultiMap, a statistical method that infers enhancer-gene association from sparse multimodal counts using a joint latent-variable model. It adjusts for technical confounding, permits fast moment-based estimation and provides analytically derived p-values. In blood and brain data, scMultiMap shows appropriate type I error control, high statistical power, and computational efficiency (1% of existing methods). When applied to Alzheimer's disease (AD) data, scMultiMap gives the highest heritability enrichment in microglia and reveals insights into the regulatory mechanisms of AD GWAS variants.
    DOI:  https://doi.org/10.1038/s41467-025-59306-z