Biology subjects

Kim, I. B.

Publications and source records attributed to Kim, I. B..

3 recordsLinked to original sources

bioRxiv2026

AI-driven framework modeling perturbation in brain organoids reveals candidate genes for autism

Autism gene discovery is constrained by the rarity and heterogeneity of damaging variants, requiring large cohorts to identify susceptibility genes. Neural organoids and single-cell foundation models enable perturbation modeling in neurodevelopmental contexts. Here, we show that perturbation-informed foundation modeling of neural organoids can provide functional context for prioritizing candidate genes with genomic and clinical support. We constructed a 3.6-million-cell organoid atlas and trained models to predict genome-wide perturbation responses. Benchmarking 17 models identified a telencephalic neuron-specific model best preserving autism-relevant perturbation structure. Genome-wide profiling revealed two clusters associated with mid-fetal synaptic neuronal processes and early radial glia ubiquitin signaling. These clusters were supported by damaging-variant enrichment and clinical phenotypes across 89,916 family-based samples. Logistic-regression prioritization identified 343 candidates, including 167 in the key clusters, with convergence across TADA signals and recurrent evidence for NBEA and KLHDC10. This framework integrates predicted perturbation effects with genomic evidence to support autism candidate prioritization.

bioinformatics↗

bioRxiv2021

Multi-organ analysis of low-level somatic mosaicism reveals stage- and tissue-specific mutational features in human development

Most somatic mutations arising during normal development present as low-level in single or multiple tissues depending on the developmental stage and affected organs1-4. However, it remains unclear how the human developmental stages or mutation-carrying organs affect somatic mutations features. Here, we performed a systemic and comprehensive analysis of low-level somatic mutations using deep whole-exome sequencing (WES; average read depth: [~]500x) of 498 multiple organ tissues with matched controls from 190 individuals. We found that early-stage mutations shared between multiple organs are lower in number but showed higher allele frequencies than late-stage mutations [0.54 vs. 5.83 variants per individual: 6.17% vs. 1.5% variant allele frequency (VAF)] along with less nonsynonymous mutations and lower functional impacts. Additionally, early- and late-stage mutations had unique mutational signatures distinct from tumor-originate mutations. Compared with early-stage mutations presenting a clock-like signature across all studied organs or tissues, late-stage mutations show organ, tissue, and cell-type specificity in mutation count, VAFs, and mutational signatures. In particular, analysis of brain somatic mutations shows bimodal occurrence and temporal-lobe-specific mutational signatures. These findings provide new insight into the features of somatic mosaicisms dependent on developmental stages and brain regions.

genomics↗

bioRxiv2019

Noncoding de novo mutations contribute to autism spectrum disorder via chromatin interactions

Three-dimensional chromatin structures regulate gene expression across genome. The significance of de novo mutations (DNMs) affecting chromatin interactions in autism spectrum disorder (ASD) remains poorly understood. We generated 931 whole-genome sequences for Korean simplex families to detect DNMs and identified target genes dysregulated by noncoding DNMs via long-range chromatin interactions between regulatory elements. Notably, noncoding DNMs that affect chromatin interactions exhibited transcriptional dysregulation implicated in ASD risks. Correspondingly, target genes were significantly involved in histone modification, prenatal brain development, and pregnancy. Both noncoding and coding DNMs collectively contributed to low IQ in ASD. Indeed, noncoding DNMs resulted in alterations, via chromatin interactions, in target gene expression in primitive neural stem cells derived from human induced pluripotent stem cells from an ASD subject. The emerging neurodevelopmental genes, not previously implicated in ASD, include CTNNA2, GRB10, IKZF1, PDE3B, and BACE1. Our results were reproducible in 517 probands from MSSNG cohort. This work demonstrates that noncoding DNMs contribute to ASD via chromatin interactions.

neuroscience↗