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By integrating spatially resolved single-cell RNA sequencing (scRNA-seq) and Stereo-seq data, two studies in this issue characterize molecular signatures of liver cell types and their interactions in homeostasis, damage, repair and regeneration.
Genomic and epigenomic techniques identify a new variation type causing Mendelian disease by altering the non-coding regulatory network in thyroid cells — solving a hidden cause linked for 20 years.
The exact relationship between 3D chromatin interactions and enhancer function is unclear. By probing three-dimensional enhancer interactions in developing embryos, two studies now show nuanced dynamics in tissue-specific contexts and reveal how moderately increased enhancer–promoter interactions coincide with functionality.
Mutational signatures help to deconvolve the different processes that shape cancer genomes. A new tool now alleviates some of the persistent challenges in the field.
Gestational diabetes is a complex metabolic condition thought to have a strong genetic predisposition. A large genome-wide association study of participants from Finland sheds light on the genetic contributors, opening avenues for research into mechanisms that underlie glucose regulation in pregnancy to improve the health of mothers and babies.
Spatial omics enables the molecular profiling of cells with the tissue context preserved. A new analytic approach shows how cellular neighborhood analysis and feature augmentation can spatially connect and cluster millions of cells into higher-order functional units.
A common architectural feature of the genome in many organisms is chromatin domains. A synthetic biology approach now builds chromatin domains from scratch and identifies some of the minimal components needed for their formation.
An open-source automated algorithm called DeepFlow enables large-scale derivation of aortic flow measurements, and genetic analysis of aortic flow, structural and functional traits demonstrates a causal relationship between aortic size and aortic valve regurgitation.
Understanding clinical heterogeneity in attention deficit hyperactivity disorder (ADHD) is important for improving personalized care and long-term outcomes. A study exploits the large scale and breadth of phenotyping of the iPSYCH cohort to link clinical heterogeneity to genetic heterogeneity in ADHD.
