Biology subjects

Choi, H.-J.

Publications and source records attributed to Choi, H.-J..

7 recordsLinked to original sources

bioRxiv2025

10,239 whole genomes with multiomic and clinical health information as the Korean population multiomic reference dataset

We present Korea10K, the largest genomic dataset of the Korean population, comprising 10,239 high-coverage whole genomes (mean depth 30x) with matched multiomic profiles and phenotype data. Korea10K achieves complete and near-complete discovery of very rare and ultra-rare alleles, respectively, at 9,000 Korean genomes. This dataset provides the high-quality population-specific imputation panel, enabling accurate inference of low-frequency variants. Admixture analyses confirm the genetic homogeneity of the Korean population, despite its diverse Y-chromosomal, mitochondrial, and HLA repertoires. This pattern reflects a long and continuous lineage history characterized by persistent internal admixture and genomic homogenization over thousands of years on the Korean peninsula. We also identified 16.8 million genomic variants that directly modify CG sites by creating or abolishing CG dinucleotides, providing the population-scale evidence of coordinated genomic-epigenomic regulatory mechanism in Koreans.

genomics↗

bioRxiv2025

Functional dissection of SPOP on the amino acid level reveals a comprehensive functional landscape of variants during tumorigenesis

Numerous proteins display pleiotropic functions in different clinical contexts. However, molecular mechanism underlying such effects is rarely understood. Speckle-type POZ protein (SPOP) is a typical example, exhibiting tumor-suppressing or -promoting effects in different tumor types in accordance with different amino acid changes; specifically, two distinct sets of variants in SPOP are commonly found in subsets of prostate cancer and endometrial cancer patients. To comprehensively characterize the functional landscape of SPOP alteration, we performed a deep mutational screening (DMS), elucidating the functionality of 7,933 out of 8,228 possible single amino acid changes (96.4% coverage). Leveraging the observation that overexpression of human SPOP leads to yeast growth arrest, we assessed the functionality of each variant using a yeast proliferation assay. In addition, our approach combined long-read and short-read sequencing. Finally, our DMS model enables a clear distinction of likely-loss-of-function (LoF) variants that are enriched in prostate cancers and reveals their differential characteristics in both protein structure and genetic assessments. These results demonstrate the utility of our approach in high resolution mapping and amino-acid-level interpretation of protein function. Significance statementGenetic mutations often play different roles in cancer, driving or suppressing tumor growth depending on their molecular context. The protein SPOP is a striking example that acts as either a tumor-suppressor or oncogene depending on the specific mutation and tissue. However, understanding how thousands of possible mutations alter its function has been a major challenge. Here, we applied deep mutational scanning to experimentally measure the functional effects of nearly every possible amino acid change in SPOP. This work provides the first comprehensive functional map of SPOP variants, not only advancing basic knowledge of cancer biology but also establishing a framework for interpreting patient mutations in precision medicine.

genetics↗

bioRxiv2024

Computing the Human Interactome

Protein-protein interactions (PPI) are essential for biological function. Recent advances in coevolutionary analysis and Deep Learning (DL) based protein structure prediction have enabled comprehensive PPI identification in bacterial and yeast proteomes, but these approaches have limited success to date for the more complex human proteome. Here, we overcome this challenge by 1) enhancing the coevolutionary signals with 7-fold deeper multiple sequence alignments harvested from 30 petabytes of unassembled genomic data, and 2) developing a new DL network trained on augmented datasets of domain-domain interactions from 200 million predicted protein structures. These advancements allow us to systematically screen through 200 million human protein pairs and predict 18,316 PPIs with an expected precision of 90%, among which 5,578 are novel predictions. 3D models of these predicted PPIs nearly triple the number of human PPIs with accurate structural information, providing numerous insights into protein function and mechanisms of human diseases.

biochemistry↗

bioRxiv2024

Robustness with Limited Specificity of Telomere Binding Proteins Underlies Telomere Evolution in Nematoda

Telomeres, the nucleoprotein complexes that protect the ends of linear chromosomes, are essential for maintaining the stability of eukaryotic genomes. As telomeres generally consist of repetitive DNA associated with specifically bound proteins, telomeric repeat motifs (TRMs) are thought to be difficult to evolve. However, a recent study identified nematodes with telomeric repeats distinct from the canonical TTAGGC motif. Here, we investigated how telomere repeats could have evolved despite the challenge posed by the specificity of telomere-binding proteins (TBPs) to the telomeric DNA in Nematoda. We performed a phylogenetic analysis and electrophoresis mobility shift assays to assess the binding affinities of two TBPs, which displayed different conservation patterns. Our results revealed that the well-conserved protein CEH-37 exhibits limited specificity, unable to distinguish telomeric repeats found in nematodes except for the TTAGGG motif, while the less conserved POT proteins displayed rigid specificity. These findings suggest that the emergence of novel telomeric repeat motifs correlated with the characteristics and evolutionary outcomes of TBPs in Nematoda. Our study not only revealed the dynamics of telomere evolution but also enhanced the understanding of the evolutionary relationship between proteins and DNAs. Lay summaryTelomeres are chromosomal end structures composed of repetitive DNA where telomere-binding proteins (TBPs) specifically bind. This nucleoprotein complex is crucial for eukaryotes to maintain their genome integrity, making it difficult to evolve. However, a recent study identified nematodes with non- canonical telomeric repeat motifs (TRMs). Through an analysis of TBP conservation in Nematoda and assessments of their binding affinities, we observed that the binding capabilities of TBPs align with their conservation patterns. This correlation is also linked to the emergence of novel TRMs, explaining the evolution progress of TRMs in Nematoda. The evolutionary process discovered in this research is not limited to telomeres, providing further insights into evolutionary relationships between proteins and DNA.

cell biology↗

bioRxiv2023

Chloroplast genome-based genetic resources for Japan's threatened subalpine forests via genome skimming

The Japanese subalpine zone is dominated by a distinct and ecologically important conifer rich forest biome, subalpine coniferous forests, that are an outlier of the extensive boreal forests of Eurasia. While being relatively intact compared to other forest biomes in Japan, subalpine coniferous forests are under significant threat from deer browsing, global warming and small populations size effects. However, there is a severe lack of genetic resources available for the study of this biomes major constituent plant species. This study aims to develop chloroplast genome-based genetic resources for 12 widespread subalpine tree and shrub species via genome skimming of whole genomic DNA using short reads (100-150 bp in length). For 10 species, whole chloroplast genomes were assembled via de novo-based methods from 4-10 individuals per species sampled from across their ranges in Japan and, for non-Japanese endemic species, elsewhere in northeast Asia. A total of 566 single nucleotide polymorphisms for Japanese samples and 768 for all samples (varying from 2 to 202 per species) were identified which were distributed in geographically restricted lineages in most species. In addition, between 9 to 58 polymorphic simple sequence repeat regions were identified per species. For two Ericaceae species (Rhododendron brachycarpum and Vaccinium vitis-idaea) characterized by large chloroplast genomes, de novo assembly failed, but single nucleotide polymorphisms could be identified using reference mapping. This data will be useful for genetic studies of the taxonomic relationship of populations within Japan and to other parts of northeast Asia, investigating phylogeographic patterns within species, conservation genetics and has potential application for studies of environmental and ancient DNA.

genetics↗

bioRxiv2023

Comparative Interactome Analysis of α-arrestin Families in Human and Drosophila

The -arrestins form a large family of evolutionally conserved modulators that control diverse signaling pathways, including both G-protein-coupled receptor-(GPCR-) mediated and non-GPCR mediated pathways, across eukaryotes. However, unlike {beta}-arrestins, only a few -arrestin targets and functions have been characterized. Here, using affinity purification and mass spectrometry, we constructed interactomes for six human and twelve Drosophila -arrestins. The resulting high-confidence interactomes comprised 307 and 467 prey proteins in human and Drosophila, respectively. A comparative analysis of these interactomes predicted not only conserved binding partners, such as motor proteins, proteases, ubiquitin ligases, RNA splicing factors, and GTPase-activating proteins, but also those specific to mammals, such as histone modifiers and the subunits of V-type ATPase. Given the manifestation of the interaction between the human -arrestin, TXNIP, and the histone-modifying enzymes, including HDAC2, we undertook a global analysis of transcription signals and chromatin structures that were affected by TXNIP knockdown. We found that TXNIP activated targets by blocking HDAC2 recruitment to targets, a result that was validated by chromatin immunoprecipitation assays. Additionally, the interactome for an uncharacterized human -arrestin ARRDC5 uncovered multiple components in the V-type ATPase, which plays a key role in bone resorption by osteoclasts. Our study presents conserved and species-specific protein-protein interaction maps for -arrestins, which provide a valuable resource for interrogating their cellular functions for both basic and clinical research.

cell biology↗

bioRxiv2020

Efficient GNE myopathy disease modeling with mutation specific phenotypes in human pluripotent stem cells by base editors

Despite the great potential of disease modeling with the isogenic pairs of human pluripotent stem cells (hPSCs), the extremely low efficiency of precise gene editing in hPSCs remains a technical hurdle for this approach. Herein, we took advantage of currently available base editors (BEs) to epitomize the isogenic disease model from hPSCs. Using this method, we established 14 hPSCs that harbor point mutations on the GNE gene, including four different mutations found in GNE myopathy patients. Due to lesser activation of p53 by BEs than Cas9, a higher editing efficiency with BEs was achieved. Four different mutations in the epimerase or kinase domains of GNE revealed mutation-specific hyposialylation, which was closely correlated to pathological clinical phenotypes. These mutation-specific hyposialylation patterns were evident in GNE protein structure modeling. Furthermore, treatment with a drug candidate currently under clinical trials showed a mutation-specific drug response in GNE myopathy disease models. These data suggest that isogenic disease models from hPSCs using BEs could serve as a useful tool for mimicking the pathophysiology of GNE myopathy and for predicting drug responses.

developmental biology↗