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In this Viewpoint, four professors at Yonsei University discuss next-generation communications and networking at the university through world-class faculty, cutting-edge research infrastructure and strong global partnerships. By integrating computing, communications and artificial intelligence (AI), Yonsei University fosters pioneering research, real-world prototyping, and active student engagement, shaping the future of AI-native 6G networks in Korea and worldwide.

A study of several longitudinal birth cohorts and cross-sectional cohorts finds only moderate overlap in genetic variants between autism that is diagnosed earlier and that diagnosed later, so they may represent aetiologically different conditions.

Polygenic scores for body mass index and obesity constructed using data from 5 million people with different ancestries were associated with distinct weight gain trajectories from early childhood to adulthood.

Human collaboration with a team of artificial intelligence (AI) agents powered by large language models was used to efficiently design a complex interdisciplinary research project leading to the design of novel nanobodies against SARS-CoV-2 spike protein.

Here the authors reveal how an incoherent feedforward C/EBPα–Notch circuit times lung cell fate, guiding alveolar development, repair after injury, and shifts between protective and reparative states.

Scvi-hub is a versatile and efficient platform for model-based analysis of single-cell sequencing studies with access to a diverse array of datasets and downstream analysis.

KCNQ1 (Kv7.1) channels are critical for heart rhythm homeostasis. Here, the authors report the KCNQ1 structure in an intermediate state, revealing unique S1–S2 conformations that illuminate channel gating and may aid targeted drug development.

Distinguishing glioblastoma and primary central nervous system lymphoma (PCNSL) remains challenging due to their overlapping pathology features. Here, the authors develop a computational tool, PICTURE, for differentiating similar pathological features enabling improved diagnosis of CNS tumours.

A gene therapy method using AAV can help deliver HIV-fighting antibodies long-term, but the body often rejects them. Here the authors show that a short course of the drug rapamycin helps prevent host anti-drug antibody responses, showing successful antibody delivery in mice and monkeys.

Literature mining, such as systematic review and meta-analysis, is crucial for discovering, integrating, and interpreting emerging research. This study presents a specialized large language model for literature that outperforms six general LLMs and helps clinicians in study selection and data extraction tasks.

Trained and validated on multimodal data from 14.5 million images from multicountry datasets, a foundation model is shown to increase diagnostic and referral accuracy of clinicians when used as an assistant in a trial involving 16 ophthalmologists and 668 patients.

CELLFIE, a CRISPR platform for optimizing cell-based immunotherapies, identifies gene knockouts that enhance CAR T cell efficacy using in vitro and in vivo screens.

Basal cells, rather than neuroendocrine cells, have been identified as the probable origin of small cell lung cancer and other neuroendocrine–tuft cancers, explaining neuroendocrine–tuft heterogeneity and offering new perspectives for targeting lineage plasticity.

Using well-calibrated statistical methods the authors jointly analyze Undiagnosed Diseases Network genomes, identifying known and novel disease genes. Software is publicly available to support future cross-cohort rare disease discovery efforts.

Few studies have evaluated how climate change may affect dietary habits and nutritional health. Here, using transaction data in the USA, the authors show that added sugar consumption increases with temperature, especially between 12 °C and 30 °C, with stronger effects among lower-income and lower-education groups.

Prenatal stress triggers molecular dysregulations in fetal neuroimmune circuits, leading to altered mast cell and sensory neuron function, which predisposes offspring to develop eczema in response to otherwise harmless mechanical friction after birth.

Two bead-based approaches for CRISPR diagnostics increase sensitivity and deployability in resource-constrained settings.

iSCALE leverages histology and spatial transcriptomics to infer gene expression at super resolution in large tissues.

Bialowolski et al. analyse financial well-being across 22 countries using data from the Global Flourishing Study. They find that demographic factors (for example, age) and early-life conditions (for example, childhood finances) correlate with financial outcomes.

Wang, Tang and colleagues develop the low-signal signed iterative random forest pipeline to investigate epistasis in the genetic control of cardiac hypertrophy, identifying epistatic variants near CCDC141, IGF1R, TTN and TNKS loci, and show that hypertrophy in induced pluripotent stem cell-derived cardiomyocytes is nonadditively influenced by interactions among CCDC141, TTN and IGF1R.

Structures of the growing peptide chain on and off the ribosome reveal that the ribosome destabilizes the unfolded nascent chain, promoting the formation of partially folded intermediate states.

Cryptosporidium is an important threat to public health, yet it lacks a robust genetic toolkit. Here, Watson et al. introduce a targeted CRISPR-based screening method to identify parasite genes that are essential for its survival within the intestine.

A genome wide association study of an African vector of schistosomiasis revealed two genomic regions associated with resistance to Schistosoma mansoni. These findings will inform novel control strategies to interrupt transmission to humans.

Cell-cell fusion is fundamental to physiological processes such as muscle formation and viral infection. Here, the authors show that the proteins embedded on the plasma membrane present a biophysical barrier that can regulate cell-cell fusion.

In vivo gene editing hinges on identifying an ideal delivery vehicle from numerous candidates. Here, authors establish the GFP-on mouse model capable of translating successful adenine base editing to a fluorescent readout thus enabling the rapid evaluation of genome editing delivery vehicles.

A consensus cell type atlas for the fly brain provides both an intellectual framework and open-source toolchains for brain-scale comparative connectomics.

Permafrost locks away the largest reservoir of mercury on the planet, but climate warming threatens to thaw these systems. Here the authors use models to show that unconstrained fossil fuel burning will dramatically increase the amount of mercury released into future ecosystems.

Longitudinal analyses reveal misalignment between global research efforts and disease burden; the gap is expected to widen substantially over the next two decades by the withdrawal of US public funding for international research.

By analysing the smartphone data of 2,112,288 participants, in particular observing and comparing the activity of the same individual in two different environments, we find that increases in the walkability of environments result in increases in daily physical activity, providing evidence of the importance of the built environment on physical health.

Around 1 in 136 pregnancies is lost due to a pathogenic small sequence variant genotype in the fetus.

Analysis of more than 95% of each diploid human genome of a four-generation, twenty-eight-member family using five complementary short-read and long-read sequencing technologies provides a truth set to understand the most fundamental processes underlying human genetic variation.

Estimating the effectiveness of COVID-19 control measures requires large prospective data including symptoms and personal risk factors. Here, the authors used data from smartphone-based application and found that individual face mask use was associated with a 64% reduced risk of COVID-19 symptoms.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

Allele-preferential transcription factor binding can influence pancreatic ductal adenocarcinoma risk loci function. Here, the authors show allele-specific JunB and JunD binding at chr1p36.33 and propose a role for KLHL17 in protein homeostasis by mitigating inflammation.

Here the authors identify hundreds of genetic loci linked to 36 traits in East Asians, revealing population-specific associations and emphasizing the importance of diverse ancestry groups in genome-wide association studies.

The understudied lipid kinase PIP4K2C binds SARS-CoV-2 nonstructural protein 6 and regulates virus-induced autophagic flux impairment, suppressing viral protein degradation. PIP4K2C inhibition is a candidate strategy to combat emerging viruses.

Excessive complement C3 causes synaptic stripping and neurodegeneration. Here, the authors used the experimental autoimmune encephalomyelitis (EAE) model of multiple sclerosis and single-cell RNA sequencing to show that C3 expression defines disease-associated reactive glia. C3 deletion abrogated these pro-inflammatory glia and protected neurons.

Monkeypox virus genomic data from Nigeria and Cameroon, sampled between 2018 and 2023, indicate that the virus spread through repeated zoonoses in Cameroon, whereas in Nigeria, it spread mainly through human–human transmission, predominantly originating in Rivers State.

PIEZO1 is critical in numerous physiological processes, but monitoring its activity and localization in cells can be challenging. Here, the authors present a chemogenetic platform to visualize endogenous human PIEZO1 localization and activity in native cellular conditions, expanding the knowledge on mechanotransduction across single cells and tissue organoids.

The barrier function of skin epidermis requires polarized secretion of lamellar bodies towards the body surface. Here, Rudd et al. identify Flower (FWE) as a novel regulator of lamellar body trafficking and a determinant of epidermal barrier function.

Evidence of antimicrobial resistance exchange between humans, animals, and the environment is limited by methodological challenges. Here, the authors report the development of ContextSeq, a Cas9 targeted sequencing method, and captured genetically similar AMR elements across households in Kenya.

Genome-wide analyses identify 30 independent loci associated with obsessive–compulsive disorder, highlighting genetic overlap with other psychiatric disorders and implicating putative effector genes and cell types contributing to its etiology.

Generative artificial intelligence (AI) systems can be optimized using TextGrad, a framework that performs optimization by backpropagating large-language-model-generated feedback; TextGrad enables optimization across diverse tasks, including radiotherapy treatment plans and molecule generation.

DeepRETStroke is a deep learning system using retinal photographs to detect silent brain infarction and predict future stroke events.

This study characterizes the three-dimensional (3D) genome architecture of 15 primary human cancer types from The Cancer Genome Atlas. The analyses identify different archetypes of enhancer usage and enhancer rewiring events due to different classes of mutations and structural variants.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

Basal cell carcinoma is a common skin lesion and the risk loci for this cancer are beginning to be understood. In this study, the authors conduct a two-stage genome-wide association study and confirm known risk loci and identify an additional 14 loci.

Cutaneous squamous cell carcinoma is the second most common type of skin cancer. In this genome-wide association study, which includes over 7,000 cases, the authors identify 4 new susceptibility loci for this cancer and also provide independent replication of 9 previously reported susceptibility loci.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.