158 papers
Genetics is the fascinating study of how traits are passed down and how our DNA shapes everything from eye color to disease risk. At Gist.Science, we bring you the very latest discoveries in this dynamic field directly from bioRxiv, the leading preprint server for biology. Because these findings appear months before formal publication, staying updated requires sifting through complex data that often feels inaccessible to non-specialists.
To bridge that gap, our team processes every new genetics preprint uploaded to bioRxiv, transforming dense scientific reports into clear, plain-language explanations alongside detailed technical summaries. This dual approach ensures that whether you are a seasoned researcher or simply curious about how genes work, you can grasp the core insights without getting lost in jargon. Below are the latest papers in genetics, curated and simplified for your reading.
This paper introduces a new method based on an efficient algorithm for computing pairwise coalescent times to infer fine-resolution asymmetric migration rates, thereby revealing complex gene flow patterns and refining the understanding of geographic genetic structure across diverse species.
This study introduces El-INTACT for high-purity isolation of rare fly brain nuclei and a multiplexed CRISPR/Cas9 strategy to functionally validate cell-type-specific enhancers, thereby advancing the molecular characterization and manipulation of gene regulation in discrete Drosophila neuron populations.
This study establishes a sequential CRISPR/Cas9 strategy to precisely edit pericentromeric satellite DNA in *Drosophila melanogaster*, demonstrating that sensitivity to the Segregation Distorter meiotic driver scales directly with the copy number of the Responder (Rsp) satellite array.
This paper demonstrates that the choice of phenotype scale is a critical, often overlooked factor in biobank-based gene-environment interaction (GxE) studies, as inappropriate scaling can generate spurious GxE signals that are actually additive effects on a different scale, whereas appropriate transformations (like log or power scaling) can reveal biologically meaningful interactions and improve genetic discovery.
This study utilizes advanced spatial and single-cell multi-omics to map the distinct differentiation states, niche interactions, and signaling pathways of congenital melanocytic nevi, revealing how spatial heterogeneity and specific molecular signatures distinguish benign lesions from those with malignant transformation potential.