Biology subjects

Choi, J.

Publications and source records attributed to Choi, J..

At least 145 records · Page 8Linked to original sources

bioRxiv2024

GVRP: Genome Variant Refinement Pipeline for variant analysis in non-human species using machine learning

Many investigations of human disease require model systems such as non-human primates and their associated genome analyses. While DeepVariant excels in calling human genetic variations, its reliance on calibrating against known variants from previous population studies poses challenges for non-human species. To address this limitation, we introduce the Genome Variant Refinement Pipeline (GVRP), employing a machine learning-based approach to refine variant calls in non-human species. Rather than training separate variant callers for each species, we employ a machine learning model to accurately identify variations and filter out false positives from DeepVariant. In GVRP, we omit certain DeepVariant preprocessing steps and leverage the ground-truth Genome In A Bottle (GIAB) variant calls to train the machine learning model for non-human species genome variant refinement. We anticipate that GVRP will significantly expedite genome variation studies for non-human species.

bioinformatics↗

bioRxiv2024

Somatic cancer driver mutations are enriched and associated with inflammatory states in Alzheimer's disease microglia

Alzheimers disease (AD) is an age-associated neurodegenerative disorder characterized by progressive neuronal loss and pathological accumulation of the misfolded proteins amyloid-{beta} and tau1,2. Neuroinflammation mediated by microglia and brain-resident macrophages plays a crucial role in AD pathogenesis1-5, though the mechanisms by which age, genes, and other risk factors interact remain largely unknown. Somatic mutations accumulate with age and lead to clonal expansion of many cell types, contributing to cancer and many non-cancer diseases6,7. Here we studied somatic mutation in normal aged and AD brains by three orthogonal methods and in three independent AD cohorts. Analysis of bulk RNA sequencing data from 866 samples from different brain regions revealed significantly higher ([~]two-fold) overall burdens of somatic single-nucleotide variants (sSNVs) in AD brains compared to age-matched controls. Molecular-barcoded deep (>1000X) gene panel sequencing of 311 prefrontal cortex samples showed enrichment of sSNVs and somatic insertions and deletions (sIndels) in cancer driver genes in AD brain compared to control, with recurrent, and often multiple, mutations in genes implicated in clonal hematopoiesis (CH)8,9. Pathogenic sSNVs were enriched in CSF1R+ microglia of AD brains, and the high proportion of microglia (up to 40%) carrying some sSNVs in cancer driver genes suggests mutation-driven microglial clonal expansion (MiCE). Analysis of single-nucleus RNA sequencing (snRNAseq) from temporal neocortex of 62 additional AD cases and controls exhibited nominally increased mosaic chromosomal alterations (mCAs) associated with CH10,11. Microglia carrying mCA showed upregulated pro-inflammatory genes, resembling the transcriptomic features of disease-associated microglia (DAM) in AD. Our results suggest that somatic driver mutations in microglia are common with normal aging but further enriched in AD brain, driving MiCE with inflammatory and DAM signatures. Our findings provide the first insights into microglial clonal dynamics in AD and identify potential new approaches to AD diagnosis and therapy.

genomics↗

bioRxiv2023

Identifying Discrepancies in HIV Infectivity and Virion Maturation Using FRET-Based Detection and Quantification

The maturation of HIV-1 virions is a crucial process in viral replication. Although T cells are a primary source of virus production, much of our understanding of virion maturation comes from studies using the HEK293T human embryonic kidney cell line. Notably, there is a lack of comparative analyses between T cells and HEK293T cells in terms of virion maturation efficiency in existing literature. We previously developed an advanced virion visualization system based on the FRET principle, enabling the effective distinction between immature and mature virions via fluorescence microscopy. In this study, we utilized pseudotyped, single-round infectious viruses tagged with FRET labels (HIV-1 Gag-iFRET{Delta}Env) derived from Jurkat (a human T lymphocyte cell line) and HEK293T cells to evaluate their virion maturation rates. HEK293T-derived virions demonstrated a maturity rate of 81.79%, consistent with other studies and our previous findings. However, virions originating from Jurkat cells demonstrated a significantly reduced maturation rate of 68.67% (p < 0.0001). Correspondingly, viruses produced from Jurkat cells exhibited significantly reduced infectivity compared to those derived from HEK293T cells, with the relative infectivity measured at 65.3%. This finding is consistent with the observed relative maturation rate of viruses produced by Jurkat cells. These findings suggest that initiation of virion maturation directly correlates with viral infectivity. Our observation highlights the dynamic nature of virus-host interactions and their implications for virion production and infectivity.

microbiology↗

bioRxiv2023

Spatial dissection of cellular heterogeneity and functional crosstalk in the tumor microenvironments of gastric cancers

Spatial transcriptomics offers unprecedented challenges in characterizing tumor ecosystems, encompassing tumor cells and their surrounding tumor microenvironments (TME) along with cellular interactions therein. Here, we conducted Visium-based spatial transcriptomics on nine primary gastric cancers (GC) to translate the spatial organization of GC ecosystems into the functional landscape of cellular crosstalk across malignant, stromal and immune cells. We identified three distinct GC subtypes of 3 immunogenic, 3 epithelial and 3 stromal GCs with elevated infiltration of immune, malignant cells and fibroblasts reflecting the heterogeneity of the cell types and their interactions in GC TME. GC spatial architecture was further delineated into 6 regional compartments with varying degree of TME infiltration, among which the fibroblast-enriched TME was associated with the upregulation of epithelial-to-mesenchymal transformation (EMT) and immune response in malignant and immune cells, respectively. Cell type-specific transcriptional dynamics representing cellular crosstalk between TME cells were further identified, e.g., the infiltration of malignant and endothelial cells promote the cellular proliferations of TME cells whereas the fibroblasts and immune cells are associated with pro-cancer and anti-cancer immunity, respectively. Ligand-receptor analysis further revealed that CCL2-expressing fibroblasts promote the pro-cancer signaling of immune cells including JAK-STAT3 signaling and inflammatory response in tumor-infiltration macrophages. The CCL2+fibroblasts and macrophages with activated JAK-STAT3 signals are co-localized in spatial GC architecture and their co-abundance was associated with unfavorable clinical outcomes. Taken together, GC spatial transcriptomes can be regionally and functionally delineated into functional cellular crosstalk involving multiple cell types with potential clinical relevance, particularly the interaction between CCL2+ fibroblasts and JAK-STAT3+macrophages contributing to cancer-favoring immune contexture in GC TME.

cancer biology↗

bioRxiv2023

Synchronous Measurements of Extracellular Action Potentials and Neurochemical Activity with Carbon Fiber Electrodes in Nonhuman Primates

Measuring the dynamic relationship between neuromodulators, such as dopamine, and neuronal action potentials is imperative to understand how these fundamental modes of neural signaling interact to mediate behavior. Here, we developed methods to measure concurrently dopamine and extracellular action potentials (i.e., spikes) and applied these in a monkey performing a behavioral task. Standard fast-scan cyclic voltammetric (FSCV) electrochemical (EChem) and electrophysiological (EPhys) recording systems are combined and used to collect spike and dopamine signals, respectively, from an array of carbon fiber (CF) sensors implanted in the monkey striatum. FSCV requires the application of small voltages at the implanted sensors to measure redox currents generated from target molecules, such as dopamine. These applied voltages create artifacts at neighboring EPhys-measurement sensors, producing signals that may falsely be classified as physiological spikes. Therefore, simple automated temporal interpolation algorithms were designed to remove these artifacts and enable accurate spike extraction. We validated these methods using simulated artifacts and demonstrated an average spike recovery rate of 84.5%. This spike extraction was performed on data collected from concurrent EChem and EPhys recordings made in a task-performing monkey to discriminate cell-type specific striatal units. These identified units were shown to correlate to specific behavioral task parameters related to reward size and eye-movement direction. Synchronous measures of spike and dopamine signals displayed contrasting relations to the behavioral task parameters, as taken from our small set of representative data, suggesting a complex relationship between these two modes of neural signaling. Future application of our methods will help advance our understanding of the interactions between neuromodulator signaling and neuronal activity, to elucidate more detailed mechanisms of neural circuitry and plasticity mediating behaviors in health and in disease. Significance statementWe present a simple method for recording synchronous molecular and neuronal spike signals. Conventional electrophysiological and electrochemical instruments are combined without the need for additional hardware. A custom-designed algorithm was made and validated for extracting neuronal action potential signals with high fidelity. We were able to compute cell-type specific spike activity along with molecular dopamine signals related to reward and movement behaviors from measurements made in the monkey striatum. Such combined measurements of neurochemical and extracellular action potentials may help pave the way to elucidating mechanisms of plasticity, and how neuromodulators and neurons are orchestrated to mediate behavior.

neuroscience↗

bioRxiv2023

DHCR24-mediated sterol homeostasis during spermatogenesis is required for sperm mitochondrial sheath formation and impacts male fertility over time

Desmosterol and cholesterol are essential lipid components of the sperm plasma membrane. Cholesterol efflux is required for capacitation, a process through which sperm acquire fertilizing ability. In this study, using a transgenic mouse model overexpressing 24-dehydrocholesterol reductase (DHCR24), an enzyme in the sterol biosynthesis pathway responsible for the conversion of desmosterol to cholesterol, we show that disruption of sterol homeostasis during spermatogenesis led to defective sperm morphology characterized by incomplete mitochondrial packing in the midpiece, reduced sperm count and motility, and a decline in male fertility with increasing paternal age, without changes in body fat composition. Sperm depleted of desmosterol exhibit inefficiency in the acrosome reaction, metabolic dysfunction, and an inability to fertilize the egg. These findings provide molecular insights into sterol homeostasis for sperm capacitation and its impact on male fertility.

cell biology↗

bioRxiv2023

Mitochondrial Biomarkers and Metabolic Syndrome in Bipolar Disorder

ImportanceExamining translatable mitochondrial blood-based biological markers to identify its association with metabolic diseases in bipolar disorder. ObjectiveTo test whether mitochondrial metabolites, mainly lactate, and cell-free circulating mitochondrial DNA are associated with markers of metabolic syndrome in bipolar disorder, hypothesizing higher lactate but unchanged cell-free circulating mitochondrial DNA levels in bipolar disorder patients with metabolic syndrome. DesignIn a cohort study, primary testing from the FondaMental Advanced Centers of Expertise for bipolar disorder was conducted, including baseline plasma samples and blinded observers for all experimentation and analysis. SettingThe FondaMental Foundation coordinate a multicenter, multidisciplinary French networks aiming at creation of cohorts to improve identification of homogeneous subgroups of psychiatric disorders toward personalized treatments. ParticipantsThe FACE-BD primary testing cohort includes 837 stable bipolar disorder patients. The I-GIVE validation cohort consists of 235 participants: stable and acute bipolar patients, non-psychiatric controls, and acute schizophrenia patients. Participants were randomly selected based on biosample availability. ExposuresAll patients underwent the standard primary care within their center. No intentional exposures were part of this study. Main Outcome and MeasuresThe primary outcome modelled an association with lactate and metabolic syndrome in this population. Reflective a priori hypothesis. ResultsMultivariable regression analyses show lactate association with triglycerides (Est= 0.072(0.023), p = 0.0065,), fasting glucose (Est = 12(0.025), p= 0.000015) and systolic (Est= 0.003(0.0013), p= 0.031) and diastolic blood pressure (Est = 0.0095{+/-}0.0017, p= 1.3e-7). Significantly higher levels of lactate were associated with presence of metabolic syndrome (Est = 0.17{+/-}0.049, p=0.00061) after adjusting for potential confounding factors. Mitochondrial-targeted metabolomics identified distinct metabolite profiles in patients with lactate presence and metabolic syndrome, differing from those without lactate changes but with metabolic syndrome. Circulating cell-free mitochondrial DNA was not associated with metabolic syndrome. Conclusion & RelevanceThis thorough analysis mitochondrial biomarkers indicate the associations with lactate and metabolic syndrome, whereas circulating cell-free mitochondrial DNA is limited in the context of metabolic syndrome. This study is relevant to improve the identification and stratification of bipolar patients with metabolic syndrome and provide potential personalized-therapeutic opportunities. Key PointsO_ST_ABSQuestionC_ST_ABSCan lactate, a mitochondrial metabolite, indicate metabolic syndrome in bipolar disorder? FindingIn 837 stable bipolar disorder patients, we found high lactate levels significantly associated with metabolic syndrome, unlike circulating cell-free mitochondrial DNA. This pattern also appeared in acute bipolar and schizophrenia cases. Mitochondrial-targeted metabolomics distinguishes patients with high lactate and metabolic syndrome from those without lactate changes, but presence of metabolic syndrome. MeaningThis research underscores lactate as a potential biomarker for identifying bipolar disorder patients with metabolic syndrome. It opens new avenues for personalized treatment strategies, leveraging mitochondrial metabolite profiling to improve patient stratification and therapeutic outcomes.

neuroscience↗

bioRxiv2023

QuadST: A Powerful and Robust Approach for Identifying Cell-Cell Interaction-Changed Genes on Spatially Resolved Transcriptomics

Spatially resolved transcriptomics (SRT) have enabled profiling spatial organization of cells and their transcriptome in situ. Various analytical methods have been developed to uncover cell-cell interaction processes using SRT data. To improve upon existing efforts, we developed a novel statistical framework called QuadST for the robust and powerful identification of interaction-changed genes (ICGs) for cell-type-pair specific interactions on a single-cell SRT dataset. QuadST is motivated by the idea that in the presence of cell-cell interaction, gene expression level can vary with cell-cell distance between cell type pairs, which can be particularly pronounced within and in the vicinity of cell-cell interaction distance. Specifically, QuadST infers ICGs in a specific cell type pairs interaction based on a quantile regression model, which allows us to assess the strength of distance-expression association across entire distance quantiles conditioned on gene expression level. To identify ICGs, QuadST performs a hypothesis testing with an empirically estimated FDR, whose upper bound is determined by the ratio of cumulative associations at symmetrically smaller and larger distance quantiles simultaneously across all genes. Simulation studies illustrate that QuadST provides consistent FDR control and better power performance than other compared methods. Its application on SRT datasets profiled from mouse brains demonstrates that QuadST can identify ICGs presumed to play a role in specific cell type pair interactions (e.g., synaptic pathway genes among excitatory neuron cell interactions). These results suggest that QuadST can be a useful tool to discover genes and regulatory processes involved in specific cell type pair interactions.

bioinformatics↗

bioRxiv2023

Genetic and pharmacologic alterations of claudin9 levels suffice to induce functional and mature inner hair cells

Hearing loss is the most common form of sensory deficit. It occurs predominantly due to hair cell (HC) loss. Mammalian HCs are terminally differentiated by birth, making HC loss challenging to replace. Here, we show the pharmacogenetic downregulation of Cldn9, a tight junction protein, generates robust supernumerary inner HCs (IHCs) in mice. The ectopic IHC shared functional and synaptic features akin to typical IHCs and were surprisingly and remarkably preserved for at least fifteen months >50% of the mouses life cycle. In vivo, Cldn9 knockdown using shRNA on postnatal days (P) P2-7 yielded analogous functional ectopic IHCs that were equally durably conserved. The findings suggest that Cldn9 levels coordinate embryonic and postnatal HC differentiation, making it a viable target for altering IHC development pre- and post-terminal differentiation.

neuroscience↗

bioRxiv2023

The origin of intestinal cancer in the context of inflammation

According to conventional views, colon cancer originates from stem cells. However, inflammation, a key risk factor for colon cancer, was shown to suppress intestinal stemness. Here, we employed Paneth cells (PCs) as a model to assess the capacity of differentiated lineages to trigger tumorigenesis in the context of inflammation. Upon inflammation, PC-specific Apc mutations led to intestinal tumors reminiscent not only of those arising in inflammatory bowel disease (IBD) patients but also of a larger fraction of sporadic colon cancers. The latter is likely due to the inflammatory consequences of Western-style dietary habits, the major colon cancer risk factor. Computational methods designed to predict the cell-of-origin of cancer confirmed that, in a substantial fraction of sporadic colon cancers the cells-of-origin are secretory lineages and not stem cells. One-Sentence SummarySecretory cell lineages trigger tumor formation in the context of the major etiologic colon cancer risk factors.

cancer biology↗

bioRxiv2023

CRWN nuclear lamina components maintain the H3K27me3 landscape and promote successful reproduction in Arabidopsis

The nuclear lamina, a sub-nuclear protein matrix, maintains nuclear structure and genome function. Here, we investigate the role of Arabidopsis lamin analogs CROWDED NUCLEIs during gametophyte and seed development. We observed defects in crwn mutant seeds, including seed abortion and reduced germination rate. Quadruple crwn null genotypes were rarely transmitted through gametophytes. We focused on the crwn1 crwn2 (crwn1/2) endosperm, which exhibited enlarged chalazal cysts and increased expression of stress-related genes and the MADS-box transcription factor PHERES1 and its targets. Previously, it was shown that PHERES1 is regulated by H3K27me3 and that CRWN1 interacts with the PRC2 interactor PWO1. Thus, we tested whether crwn1/2 alters H3K27me3 patterns. We observed a mild loss of H3K27me3 at several hundred loci, which differed between endosperm and leaves. These data indicate that CRWNs are necessary to maintain the H3K27me3 landscape, with tissue-specific chromatin and transcriptional consequences.

genetics↗

bioRxiv2023

StableMate: a new statistical method to select stable predictors in omics data

Identifying statistical associations between biological variables is crucial to understand molecular mechanisms. Most association studies are based on correlation or linear regression analyses, but the identified associations often lack reproducibility and interpretability due to the complexity and variability of omics datasets, making it difficult to translate associations into meaningful biological hypotheses. We developed StableMate, a regression framework to address these challenges through a process of variable selection across heterogenous datasets. Given datasets from different environments, such as experimental batches, StableMate selects environment-agnostic (stable) and environment-specific predictors in predicting the response of interest. Stable predictors represent robust functional dependencies with the response, and can be used to build regression models that make generalizable prediction in unseen environments. We applied StableMate to 1) RNA-seq data of breast cancer to discover genes that consistently predict estrogen receptor expression across disease status, 2) metagenomics data to identify microbial signatures that show persistent association with colon cancer across study cohorts and 3) scRNA-seq data of glioblastoma to discern signature genes associated with development of pro-tumour microglia regardless of cell location. Our case studies demonstrate that StableMate is adaptable to regression and classification analyses and achieves comprehensive characterisation of biological systems for different omics data types.

bioinformatics↗

bioRxiv2023

Context-aware single-cell multiome approach identified cell-type specific lung cancer susceptibility genes

Genome-wide association studies (GWAS) identified over fifty loci associated with lung cancer risk. However, the genetic mechanisms and target genes underlying these loci are largely unknown, as most risk-associated-variants might regulate gene expression in a context-specific manner. Here, we generated a barcode-shared transcriptome and chromatin accessibility map of 117,911 human lung cells from age/sex-matched ever- and never-smokers to profile context-specific gene regulation. Accessible chromatin peak detection identified cell-type-specific candidate cis-regulatory elements (cCREs) from each lung cell type. Colocalization of lung cancer candidate causal variants (CCVs) with these cCREs prioritized the variants for 68% of the GWAS loci, a subset of which was also supported by transcription factor abundance and footprinting. cCRE colocalization and single-cell based trait relevance score nominated epithelial and immune cells as the main cell groups contributing to lung cancer susceptibility. Notably, cCREs of rare proliferating epithelial cell types, such as AT2-proliferating (0.13%) and basal cells (1.8%), overlapped with CCVs, including those in TERT. A multi-level cCRE-gene linking system identified candidate susceptibility genes from 57% of lung cancer loci, including those not detected in tissue- or cell-line-based approaches. cCRE-gene linkage uncovered that adjacent genes expressed in different cell types are correlated with distinct subsets of coinherited CCVs, including JAML and MPZL3 at the 11q23.3 locus. Our data revealed the cell types and contexts where the lung cancer susceptibility genes are functional.

genomics↗

bioRxiv2023

Single cell analysis uncovers striking cellular heterogeneity of lung infiltrating Tregs during eosinophilic vs. neutrophilic allergic airway inflammation

Allergic airway inflammation is a chronic inflammatory condition resulting from uncontrolled immune responses to environmental antigens. While it is well-established that allergic immune responses exhibit a high degree of diversity, driven by primary effector cell types like eosinophils, neutrophils, or CD4 T cells with distinct effector signatures, the exact mechanisms responsible for such pathogenesis remain largely elusive. Foxp3+ regulatory T cells (Treg) is an essential immune regulator during chronic inflammation including allergic airway inflammation. Emerging evidence suggests that Tregs infiltrating inflamed tissues exhibit distinct phenotypes dependent on the specific tissue sites and can display significant heterogeneity and tissue residency. Whether diverse allergic inflammatory responses in the lung influences infiltrating Treg heterogeneity or Treg lung residency has not previously been explored. We employed an unbiased single-cell RNAseq approach to investigate lung-infiltrating Tregs in models of eosinophilic and neutrophilic airway inflammation models, in which Tregs are critical regulators of inflammation. We found that lung-infiltrating Tregs are highly heterogeneous and that Tregs displaying lung resident phenotypes are significantly different depending on the types of inflammation. Tregs expression of ST2, a receptor for alarmin cytokine IL-33, was predominantly induced by eosinophilic inflammation and by tissue residency. However, Treg-specific ST2 deficiency did not affect the development of eosinophilic allergic inflammation nor the generation of lung resident Tregs. These results uncover a striking heterogeneity among Tregs infiltrating the lungs during allergic airway inflammation. The results also indicate that varying types of inflammation may give rise to phenotypically distinct lung resident Tregs, underscoring a novel mechanism by which inflammatory cues may shape the composition of infiltrating Tregs, allowing them to regulate inflammatory responses through tissue-adapted mechanisms.

immunology↗

bioRxiv2023

Stereotypic persistent B cell receptor clonotypes in Alzheimer's Disease

We constructed B cell receptor (BCR) repertoires in silico using peripheral blood (PB) samples collected from 44 Alzheimers Disease (AD) patients at baseline and 37 patients at follow-up. For the control group (CG), we used BCR repertoire data from the chronologically collected PB samples of 55 healthy volunteers vaccinated with SARS-CoV-2 mRNA. The AD patients shared 3,983 stereotypic non-naive BCR clonotypes not found in CG, and their degree of overlap between patient pairs were significantly higher than that of CG pairs, even with the SARS-CoV-2 spike protein triggering a concerted BCR response. Twenty stereotypic non-naive AD patient-specific BCR clonotypes co-existed in more than four patients and persisted throughout two sampling points. One of these BCR clonotypes encoded an antibody reactive to the A{beta}42 peptide. Our findings strongly suggest that AD patients are exposed to common (auto)antigens associated with disease pathology, and their BCR repertoires show unique signatures with diagnostic potential.

immunology↗

bioRxiv2023

A molecular proximity sensor based on an engineered, dual-component guide RNA

One of the goals of synthetic biology is to enable the design of arbitrary molecular circuits with programmable inputs and outputs. Such circuits bridge the properties of electronic and natural circuits, processing information in a predictable manner within living cells. Genome editing is a potentially powerful component of synthetic molecular circuits, whether for modulating the expression of a target gene or for stably recording information to genomic DNA. However, programming molecular events such as protein-protein interactions or induced proximity as triggers for genome editing remains challenging. Here we demonstrate a strategy termed "P3 editing", which links protein-protein proximity to the formation of a functional CRISPR-Cas9 dual-component guide RNA. By engineering the crRNA:tracrRNA interaction, we demonstrate that various known protein-protein interactions, as well as the chemically-induced dimerization of protein domains, can be used to activate prime editing or base editing in human cells. Additionally, we explore how P3 editing can incorporate outputs from ADAR-based RNA sensors, potentially allowing specific RNAs to induce specific genome edits within a larger circuit. Our strategy enhances the controllability of CRISPR-based genome editing, facilitating its use in synthetic molecular circuits deployed in living cells.

synthetic biology↗

bioRxiv2023

Highly effective gene inactivation in tetraploid Xenopus laevis with low-temperature-active engineered Cas12a

Gene knockout using the CRISPR/Cas (clustered regulatory interspaced short palindromic repeats/CRISPR-associated protein) system revolutionized reverse genetic studies in model and non-model organisms, as almost all genetic elements can be targeted with few limitations. Although the CRISPR/Cas system with SpCas9 (Cas9 derived from Streptococcus pyogenes) remains the most popular for genome editing, another CRISPR/Cas system with Cas12a (Cpf1) has expanded its application. However, Cas12a is challenging to use in some aquatic model organisms, such as Xenopus laevis, because of its low activity at the temperature at which X. laevis embryos are usually raised (lower than 25{degrees}C). Recently, an engineered Cas12a called Cas12a-Ultra was developed, which has improved in vivo endonuclease activity with reduced temperature dependency. Here, we evaluated the performance of these engineered Cas12a enzymes in X. laevis embryos. We first confirmed that they were more active than SpCas9 at the low temperature at which X. laevis embryos are mostly raised (20-22{degrees}C), based on in vitro digestion experiments. Then, we evaluated in vivo activities of Cas12a-Ultra by disrupting several genes in X. laevis whose phenotypic consequences are previously reported. LbCpf1 (Cas12a derived from Lachnospiraceae bacterium)-Ultra outperformed the other enzymes, producing more than 80% of embryos with severely defective phenotypes even in low-temperature conditions. In addition, duplicated copies of two paralogous lysine demethylases (kdm5b and kdm5c) were successfully disrupted, which recapitulated the previously reported phenotypes observed upon morpholino-mediated knockdown. This study demonstrated that this engineered Cas12a is valuable for gene function studies in Xenopus and other model organisms with low growth temperatures.

bioengineering↗

bioRxiv2023

KoNA: Korean Nucleotide Archive as a New Data Repository for Nucleotide Sequence Data

During the last decade, generation and accumulation of petabase-scale high-throughput sequencing data have resulted in ethical and technical challenges, including access to human data, and transfer, storage, and sharing of enormous amount of data. To promote data-driven research in biology, the Korean government announced that all the biological data generated from government-funded research projects should be deposited in the Korea BioData Station (K-BDS), which consists of multiple databases for individual data types. We introduce the Korean Nucleotide Archive (KoNA), a repository for nucleotide sequence data. As of July 2022, the Korean Read Archive in KoNA has collected over 477 TB of raw next generation sequencing data from several national genome projects. To ensure data quality and prepare for international alignment, a standard operating procedure (SOP) was adopted, which is similar to the International Nucleotide Sequence Database Collaboration. The SOP includes quality control processes for submitted data and metadata using an automated pipeline followed by manual examination. To ensure fast and stable data transfer, a high-speed transmission system called GBox is used in KoNA. Furthermore, the data uploaded to or downloaded from KoNA through GBox can be readily processed in a cloud-computing service for genomic data analysis called Bio-Express. This seamless coupling of KoNA, GBox, and Bio-Express enhances data experience including submission, access, and analysis of raw nucleotide sequences. KoNA not only satisfies the unmet needs for a national sequence repository in Korea, but also provides datasets to researchers globally and contribute to advances in genomics. KoNA is available at https://www.kobic.re.kr/kona/.

genomics↗