Single-cell transcriptomes and single-cell chromatin accessibility profiles generated using EasySci provide a global view of aging and Alzheimer’s pathogenesis-associated cell population dynamics in human and mouse brains.

A barcode-based approach applied to UK Biobank and an Icelandic cohort identifies drivers of clonal hematopoiesis (CH) and finds associations between CH and multiple diseases. Genome-wide association analyses identify 25 loci associated with CH susceptibility.

CRISPR activation/interference screens identify transcriptional regulators of human CD8⁺ T cells, including BATF3. BATF3 overexpression counteracts T cell exhaustion and enhances cancer immunotherapy in in vivo models.

In pancreatic duct adenocarcinoma, super-enhancer RNAs (seRNAs) have higher N⁶-methyladenosine (m⁶A) levels than in adjacent normal tissue due to upregulation of the METTL3 cofactor CFL1. Aberrant m⁶A seRNAs promote oncogene expression via the YTHDC2–MLL1 complex.

ancIBD identifies identity-by-descent regions in ancient DNA using a hidden Markov model optimized for these low-coverage data. Analysis of 4,248 individuals demonstrates that ancIBD can identify up to sixth-degree relatives and provides genealogical insights into ancient populations.

A powerful Bayesian method, BridgePRS, leverages shared genetic effects across ancestries to increase polygenic risk score portability in non-European populations.

The long noncoding RNA AMANZI downregulates IL-1β expression and trained immunity by inducing IL-37 transcription via long-range chromatin contacts. The common variant rs16944 present in AMANZI modulates proinflammation or immunosuppression risk.

Chromosome-scale genome assemblies of triploid Cavendish and Gros Michel reveal the banana cultivars’ origins, disease resistance and fruit ripening mechanism.

DeepFlow uses deep learning to extract cardiac flow phenotypes from phase-contrast magnetic resonance images. Genome-wide analyses of cardiac flow traits in UK Biobank highlight the contribution of connective tissue genes to aortic valve function.

CellCharter is a flexible, platform-agnostic method for identifying cell niches in spatially resolved data. Analysis of lung cancers demonstrates the importance of considering spatial information, exemplified by a neutrophil-associated niche that correlates with an aggressive cancer cell state and patient prognosis.