Tumor cells upregulate compensatory buffering genes following tumor suppressor loss. These genes may represent new synthetic lethal partners that could be harnessed therapeutically.

Simultaneous profiling of RNA and chromatin accessibility in single nuclei isolated from human postnatal brain regions from infancy to late adulthood identifies key cellular regulators and nominates target genes and mechanisms for brain-related diseases and disorders.

Analysis of 4,041 single-nucleotide variants (SNVs) linked to 13 cancers performed in primary human cell types identifies 380 potentially regulatory SNVs and their putative target genes. Editing one SNV, rs10411210, revealed that the risk allele increases RHPN2 expression and stimulus-responsive RhoA activation.

Genomic analyses of Citrus species including haplotype-resolved genomes of Citrus sinensis and Citrus aurantium highlight the origin of sweet orange and provide a strategy for de novo domestication of perennial crops.

This study introduces a ChickenGTEx atlas of regulatory variants across 28 tissues and illustrates its utility in deciphering association signals for 39 complex traits in chickens.

Common-variant and rare-variant association analyses combining datasets from multiple populations yield insights into the genetic architecture of all-cause heart failure across the allele-frequency spectrum.

Cluster hierarchy optimization by iterative random forests (CHOIR) offers a robust and accurate method to identify cell clusters across a variety of single-cell resolution data with statistical support.

A telomere-to-telomere genome assembly of allohexaploid bread wheat cv. Chinese Spring (CS-IAAS), along with transcriptomic and proteomic data, highlights wheat genome complexity and its structural and functional features.

Phosphorylation of KAP1 by DNA-PKcs at enhancers regulated by diverse stimuli prevents association with 7SK small nuclear RNPs and CDK9 SUMOylation, thereby activating the P-TEFb complex and promoting enhancer RNA transcription.

Multiomics and ecological spatial analysis (MESA) calculates ecodiversity-inspired metrics in spatially resolved omics integrated with single-cell data, enabling the quantitative comparison of tissue states across a range of conditions.

The rich ethnolinguistic and sociocultural differences that exist in India offers a unique opportunity to study human diversity. With the whole genomes of 10,000 healthy and unrelated Indians from 83 populations, the GenomeIndia project captures the genetic diversity of one of the highly underrepresented populations in the global genomics landscape.