Cell genomics最新文献

Red blood cells (RBCs) transport oxygen but accumulate oxidative damage over time, reducing function in vivo and during storage, critical for transfusions. To explore the genetics of RBC resilience, we profiled proteins, metabolites, and lipids from fresh and stored RBCs from 350 genetically diverse mice. Our analysis identified over 6,000 quantitative trait loci (QTLs). Compared to other tissues, the prevalence of trans genetic effects over cis ones reflects the absence of de novo protein synthesis in anucleated RBCs. QTL hotspots at Hbb, Hba, Mon1a, and (storage-specific) Steap3 linked ferroptosis to hemolysis. Proteasome QTLs clustered at multiple loci, underscoring the importance of degrading oxidized proteins. Post-translational modification (PTM) QTLs mapped predominantly to hemoglobins, including cysteine residues. The loss of reactive C93 in humanized mice (hemoglobulin beta [HBB] C93A) disrupted redox balance, glutathione pools, glutathionylation, and redox PTMs. These findings highlight genetic regulation of RBC oxidation, with implications for transfusion biology and oxidative-stress-dependent hemolytic disorders.

Understanding how genomic alterations drive cancer is key to advancing precision oncology. To detect these alterations, accurate algorithms are used; however, due to privacy concerns, few deeply sequenced cancer genomes can be shared, limiting benchmarking and representing a major obstacle to the improvement of analytic tools. To address this, we developed OncoGAN, a generative AI model combining adversarial networks and variational autoencoders to create realistic synthetic cancer genomes. Trained on large-scale genomic datasets, OncoGAN accurately reproduces somatic mutations, copy number alterations, and structural variants across cancer types while preserving donors' privacy. The synthetic genomes reflect tumor-specific mutational signatures and positional mutation patterns. Using DeepTumour, we validated the synthetic data's fidelity, showing high concordance between generated and predicted tumors. Moreover, augmenting the training data with synthetic genomes improved DeepTumour's accuracy, underscoring OncoGAN's potential to generate shareable datasets with known ground truths for benchmarking and enhancement of cancer genome analysis tools.

Cells store information by means of chromatin modifications that persist through cell divisions and can hold gene expression silenced over generations. However, how these modifications may maintain other gene expression states has remained unclear. This study shows that chromatin modifications can maintain a wide range of gene expression levels over time, thus uncovering analog epigenetic memory. By engineering a genomic reporter and epigenetic effectors, we tracked the gene expression dynamics following targeted perturbations to the chromatin state. We found that distinct grades of DNA methylation led to corresponding, persistent gene expression levels. Altering the DNA methylation grade, in turn, resulted in permanent loss of gene expression memory. Consistent with experiments, our chromatin modification model indicates that analog memory arises when the positive feedback between DNA methylation and repressive histone modifications is lacking. This discovery will lead to a deeper understanding of epigenetic memory and to new tools for synthetic biology.

Unmodified class II bacteriocins promise precision antimicrobials that spare bystander microbes. Zhang and colleagues introduce IIBacFinder, a genomics-guided pipeline that detects precursor and context genes with a curated pHMM library, infers leader-peptide cleavage, and triages candidates by meta-omics signals. The authors apply it across bacterial genomes, including an atlas of ∼280,000 human-gut genomes, and recover a vast reservoir of narrow-spectrum peptides and prioritize gut-resident candidates for synthesis. Of the 26 synthesized, 16 display activity in vitro, largely via membrane perturbation and with additive effects alongside vancomycin, while ex vivo assays show minimal compositional disruption of fecal communities compared with antibiotic controls. These results position unmodified class II bacteriocins as tractable, microbiome-sparing agents and illustrate how genome-scale mining coupled to meta-omics can bridge sequence to function in complex ecosystems.

Missense variants can have pleiotropic effects on protein function, and predicting these effects can be difficult. We performed near-saturation deep mutational scanning of P2RY8, a G protein-coupled receptor that promotes germinal center B cell confinement. We assayed the effect of each variant on surface expression, migration, and proliferation. We delineated variants that affected both expression and function, affected function independently of expression, and discrepantly affected migration and proliferation. We also used cryo-electron microscopy to determine the structure of activated, ligand-bound P2RY8, providing structural insights into the effects of variants on ligand binding and signal transmission. We applied the deep mutational scanning results to both improve computational variant effect predictions and to characterize the phenotype of germline variants and lymphoma-associated variants. Together, our results demonstrate the power of integrating deep mutational scanning, structure determination, and in silico prediction to advance the understanding of a receptor important in human health.

Disruptive variants in the chromodomain helicase CHD8 are associated with risk for autism spectrum disorder (ASD). CHD8 haploinsufficiency is hypothesized to contribute to ASD by perturbing neurodevelopmental gene expression. However, insight into cell-type-specific transcriptional effects of CHD8 haploinsufficiency remains limited. We used single-cell and single-nucleus RNA sequencing to identify dysregulated genes in the embryonic and juvenile Chd8^+/- mouse cortex. Chd8 and other ASD risk-associated genes showed a convergent expression trajectory conserved between mouse and human developing cortex, increasing from progenitor zones to the cortical plate. Genes associated with neurodevelopmental disorders or involved in chromatin remodeling and neuron projection development were dysregulated in Chd8^+/- embryonic radial glia. Genes implicated in synaptic activity and organization were dysregulated in Chd8^+/- postnatal excitatory cortical neurons, suggesting impaired synaptogenesis. Our findings reveal complex patterns of transcriptional dysregulation due to Chd8 haploinsufficiency, potentially with distinct impacts on progenitors and maturing neurons in the excitatory neuronal lineage.

Can individual cells retain a memory of past gene expression levels even after the stimulus has faded? In this issue of Cell Genomics, Domitilla Del Vecchio and colleagues describe an analog epigenetic memory system in which DNA methylation acts as a signal that locks in gene expression levels over time and cell divisions.¹.

Over 1,000 genetic variants have been associated with diabetes by genome-wide association studies (GWASs), but for most, their functional impact is unknown; only 7% alter gene expression in pancreatic islets in expression quantitative trait locus (eQTL) studies. To fill this gap, we developed a co-localization pipeline, colocRedRibbon, that prefilters eQTLs by the direction of effect on gene expression and shortlists overlapping eQTL and GWAS variants prior to co-localization. Applying colocRedRibbon to recent diabetes and glycemic trait GWASs, we identified 292 co-localizing gene regions, including 24 co-localizations for type 1 diabetes and 268 for type 2 diabetes and glycemic traits, representing a 4-fold increase. A low-frequency type 2 diabetes protective variant increases islet MYO5C expression, and a type 1 diabetes protective variant increases FUT2 expression. These novel co-localizations advance the understanding of diabetes genetics and its impact on human islet biology. colocRedRibbon has broad applicability to co-localize GWASs and various QTLs.

G protein-coupled receptors (GPCRs) form the largest family of cell surface receptors and remain a central focus in pharmacology and drug discovery. Despite extensive structural and pharmacological studies, the functional impact of missense variation across GPCRs remains poorly understood, particularly for receptors involved in immune regulation. In this issue of Cell Genomics, LaFlam et al.¹ systematically map P2RY8 variant functions using deep mutational scanning (DMS) combined with structural biology approaches, revealing pleiotropy and mechanisms linking GPCR variation to B cell confinement and lymphoma.

Non-olfactory G-protein-coupled receptors (GPCRs) regulate vital physiological functions and are targets for ∼34% of US Food and Drug Administration (FDA)-approved drugs. While small-molecule-activated GPCRs are well studied, there is growing interest in peptide GPCRs, particularly the melanocortin-4 receptor (MC4R), a key regulator of energy balance and appetite. Activation of MC4R by β-melanocyte-stimulating hormone (β-MSH) reduces food intake, and pathway dysfunction leads to obesity. However, current methods to study GPCR-peptide interactions are resource intensive and low throughput. To address this, we developed a high-throughput cell surface peptide display platform with a β-arrestin-based MC4R reporter to screen over 2,000 β-MSH point mutants. This approach identified peptide variants that significantly impact MC4R activation, including a novel D5H mutant with enhanced receptor activation. Our results demonstrate a scalable method to directly link GPCR activation to peptide variants, offering insights for therapeutic peptide design.