Biology subjects

Jun, J.

Publications and source records attributed to Jun, J..

18 recordsLinked to original sources

bioRxiv2026

Analysis of sperm processing and cryopreservation procedures in the common marmoset (Callithrix jacchus) to reduce fragmentation and maximize total and progressive motility

The marmoset has emerged as an ideal species for studying complex neurodevelopmental diseases, and IVF is required for gene-editing success. Reliable sperm processing is paramount to several IVF techniques, including traditional insemination. If not used immediately, thermal stress from cryopreservation diminishes sperm quality, requiring improved processing methods. Swim-up and gradient methods may limit adequate sperm quality, and the lack of a standardized freezing protocol often results in impaired post-thaw motility. Thus, reliable standards for sperm processing and cryopreservation in the marmoset are needed to support vital IVF processes. Collected semen underwent one of four pre-processing incubation steps before processing by swim-up, sucrose gradient, or a microfluidics assay. Sperm parameters were assessed using a Hamilton Thorne Computer Assisted Sperm Analysis (CASA) system. To evaluate cryopreservation, microfluidics-processed sperm were subjected to five protocols using different cryoprotectants and cooling methods. After thawing, sperm samples were analyzed with the CASA system and a DNA fragmentation assay. Incubation for 30 minutes at 38C in TYH media decreased sperm aggregation, and subsequent microfluidics resulted in a higher percentage of motile and progressively motile sperm than swim-up or gradient methods. Our optimized cryopreservation protocol consistently achieved at least 20% progressive motility, a key benchmark for usable marmoset sperm, while previously published or commercial methods were less consistent. The cryopreservation protocol outperformed other published methods, having the least significant change in post-thaw motility without causing DNA damage. These findings establish standardized methods for reliably procuring and storing sperm samples for IVF or husbandry in the common marmoset.

developmental biology↗

bioRxiv2026

Atypical MDM2 p53 Regulation and Chemosensitivity Induced by Proximal PAS Deletion

This study proposes a novel therapeutic strategy to suppress cancer growth by modulating the MDM2-p53 axis via Alternative Polyadenylation (APA). MDM2 normally promotes tumorigenesis by ubiquitinating and degrading the tumor suppressor p53. In cancer cells, preferential use of proximal polyadenylation signals (PAS) results in shortened 3'UTRs, allowing oncogenic transcripts like MDM2 to evade nuclear sequestration mediated by Inverted Alu (IRAlu) double-stranded RNA structures. We hypothesized that forcing distal PAS usage would elongate the MDM2 mRNA, promoting its nuclear retention and reducing protein translation, thereby restoring p53 activity. Using CRISPR-Cas9, we targeted and deleted the most frequent proximal PAS in the MDM2 3'UTR of A549 cells. Successful genome editing was confirmed via PCR. As expected, Western blot analysis showed a significant reduction in MDM2 expression in PAS-edited cells. However, experimental outcomes contradicted our initial hypothesis: edited cells exhibited higher viability under doxorubicin treatment compared to wild-type cells. Furthermore, despite decreased MDM2 levels, a concurrent reduction in phosphorylated p53 (p-p53) was observed. These unexpected results suggest that MDM2 3'UTR elongation may trigger a non-canonical regulatory mechanism that bypasses the traditional MDM2-p53 interaction. This study highlights the complexity of post-transcriptional regulation and suggests that APA-mediated gene modulation can induce unforeseen compensatory survival pathways in cancer cells, necessitating further investigation into the broader functional landscape of elongated 3'UTRs.

cancer biology↗

bioRxiv2026

Microenvironmental Determinants of Reaction Kinetics in Biomolecular Condensates Probed with Protein Ligation

Cells utilize liquid-liquid phase separation to organize biochemical reactions within biomolecular condensates, which function as membraneless organelles. Although these assemblies are known to enhance reaction rates by concentrating reactants, the mechanisms beyond simple mass-action effects remain poorly understood. Here, we examined how the physicochemical microenvironment within condensates modulates reaction kinetics using spontaneous protein ligation as a model reaction, conducting a systematic analysis across various condensates, ranging from structured scaffolds (PRM-SH3 systems) to intrinsically disordered protein (IDP)-based scaffolds such as LAF, TAF, and FUS. We designed a FRET-based proximity-sensitive client probe to quantify increases in effective local concentration arising from excluded-volume effects. In parallel, we measured internal hydrophilicity and water activity, revealing them as additional key determinants of reaction acceleration. Together, the findings presented here elucidate how phase-separated compartments regulate biochemical reactions through the interplay of physical (effective concentration) and chemical (hydrophilicity and water activity) microenvironments and provide mechanistic insights for engineering condensates with tunable reactivity.

biochemistry↗

bioRxiv2026

Oncolytic Adenovirus Armed with cGAS Activates STING Pathway and Enhances Antitumor Immunity in Lung Cancer with Superior Combined Efficacy of PD-L1 Therapy

The extensive expression of STING in patients with non - small cell lung cancer (NSCLC) is closely associated with overall survival and other factors. Activation of the STING pathway can suppress NSCLC. However, the clinical translation of STING agonists remains hindered by challenges such as off-target effects, metabolic instability, and suboptimal pharmacokinetics. In this study, we engineered two oncolytic adenoviruses (OAds), OAd-HcGAS and OAd-McGAS, expressing human or murine cGAS, respectively, using an Ad5/3 chimeric adenovirus platform under regulation by the hTERT promoter to evaluatewhether OVs carrying the cGAS gene are capable of specifically activating the STING pathway within tumors and enhancing the anti - tumor efficacy of OVs both in vitro and in vivo.In vitro, OAd-HcGAS exhibited robust replication and potent cytolytic activity in tumor cells. It activated the STING-TBK1-IRF3 signaling axis, triggering a strong type I interferon (IFN-I) and pro-inflammatory cytokine response without compromising viral replication. In a murine Lewis lung carcinoma allograft model, intratumoral (i.t.) administration of OAd-McGAS led to substantial cGAS expression and consequential activation of the STING pathway. Moreover, the combination with anti-PD-L1 therapy resulted in tumor regression in over half of the cases. Notably, this armed oncolytic virus strategy enhanced the activation and infiltration of multiple immune cell populations. Collectively, these findings establish cGAS-expressing oncolytic adenoviruses as a novel and effective therapeutic strategy for lung cancer treatment. Graphical AbstractViral replication & Transgene expression & Cancer treatment

immunology↗

bioRxiv2025

Single Nuclei-Derived Molecular Subtypes of Gastrointestinal Stromal Tumors Correlate with Clinicopathologic Features and Predict Clinical Outcomes

Historically, gastrointestinal stromal tumor (GIST) has been subtyped by oncogenic driver mutations. However, tumors with the same mutational profile can have variable biology. To further explore the impact of molecular diversity on GIST biology, we performed single nucleus RNA sequencing on 16 primary GIST and utilized an integrated single cell atlas of the normal GI tract composed from multiple publicly available datasets to identify six distinct GIST cell states. We then statistically estimated the relative abundances of these profiles in bulk transcriptomic data. These were used to define six common GIST molecular subtypes based upon one or two predominant tumor cell states. We found that these molecular subtypes correlate with tumor locations, mutational profiles, and patient outcomes, and validated these subtypes in an independent international cohort. These molecular subtypes have the potential to be used for clinical prognostication for patients with GIST, identifying new therapeutic targets, and studying the cell of transformation of GIST.

cancer biology↗

bioRxiv2024

Profiling ranked list enrichment scoring in sparse data elucidates algorithmic tradeoffs

Gene Set Enrichment Analysis (GSEA) is a method for quantifying pathway and process activation in groups of samples, and its single sample version (ssGSEA) scores activation using mRNA abundance in a single sample. GSEA and ssGSEA were developed for "bulk" samples rather than individual cell technologies such as microarrays and bulk RNA-sequencing (RNA-seq) data. The growing use of single cell RNA-sequencing (scRNA-seq) raises the possibility of using ssGSEA to quantify pathway and process activation in individual cells. However, scRNA-seq data is much sparser than RNA-seq data. Here we show that ssGSEA as designed for bulk data is subject to some amount of score uncertainty and other technical issues when applied to individual cells from scRNA-seq data. We also show that a ssGSEA can be applied robustly to "pseudobulk" aggregate groups of a few hundred to a few thousand cells provided appropriate normalization is used. Finally, in comparing this approach to other ranked list enrichment methods, we find that the UCell method is most robust to sparsity. We have made the aggregate cell version of ssGSEA available as a Python package and GenePattern module and will also modularize UCell for use on GenePattern as well.

bioinformatics↗

bioRxiv2023

EpiMix: an integrative tool for epigenomic subtyping using DNA methylation

DNA methylation (DNAme) is a major epigenetic factor influencing gene expression with alterations leading to cancer, immunological, and cardiovascular diseases. Recent technological advances enable genome-wide quantification of DNAme in large human cohorts. So far, existing methods have not been evaluated to identify differential DNAme present in large and heterogeneous patient cohorts. We developed an end-to-end analytical framework named "EpiMix" for population-level analysis of DNAme and gene expression. Compared to existing methods, EpiMix showed higher sensitivity in detecting abnormal DNAme that was present in only small patient subsets. We extended the model-based analyses of EpiMix to cis-regulatory elements within protein-coding genes, distal enhancers, and genes encoding microRNAs and lncRNAs. Using cell-type specific data from two separate studies, we discovered novel epigenetic mechanisms underlying childhood food allergy and survival-associated, methylation-driven non-coding RNAs in non-small cell lung cancer.

bioinformatics↗

bioRxiv2022

ECPAS/Ecm29-Mediated 26S Proteasome Disassembly Is an Adaptive Response to Glucose Starvation

The 26S proteasome consists of loosely associated 20S catalytic and 19S regulatory complexes. Approximately half of the proteasomes in eukaryotic cells exist as free 20S complexes; however, our mechanistic and physiological understanding of what determines the ratio of 26S to 20S species remains incomplete. Here, we show that glucose starvation in mammalian cells results in the uncoupling of 26S holoenzymes into intact 20S and 19S subcomplexes. Subcomplex affinity-purification and quantitative mass spectrometry revealed that Ecm29 proteasome adaptor and scaffold (ECPAS) is a crucial mediator of this structural remodeling. The loss of ECPAS abrogated 26S dissociation, leading to decreased degradation of 20S proteasome substrates such as puromycylated polypeptides and lysine-less cyclin B. In silico modeling analysis suggested that the conformational changes of ECPAS may commence the disassembly process. ECPAS was also essential for proper endoplasmic reticulum stress response and cell survival during glucose starvation. In addition, we evaluated the role of ECPAS in vivo using the mouse xenograft model and observed that glucose-deprived tumor tissues had significantly elevated 20S proteasome levels. Collectively, our results indicate that the 20S-19S disassembly mediated by ECPAS is a novel mechanism adapting global proteolysis to physiological needs and an effective cellular strategy against proteotoxic stress.

biochemistry↗

bioRxiv2021

Getting the gist faster: Blurry images enhance the early temporal similarity between neural signals and convolutional neural networks

Humans are able to recognize objects under a variety of noisy conditions, so models of the human visual system must account for how this feat is accomplished. In this study, we investigated how image perturbations, specifically reducing images to their low spatial frequency (LSF) components, affected correspondence between convolutional neural networks (CNNs) and brain signals recorded using magnetoencephalography (MEG). Using the high temporal resolution of MEG, we found that CNN-Brain correspondence for deeper and more complex layers across CNN architectures emerged earlier for LSF images than for their unfiltered broadband counterparts. The early emergence of LSF components is consistent with the coarse-to-fine theoretical framework for visual image processing, but surprisingly shows that LSF signals from images are more prominent when high spatial frequencies are removed. In addition, we decomposed MEG signals into oscillatory components and found correspondence varied based on frequency bands, painting a full picture of how CNN-Brain correspondence varies with time, frequency, and MEG sensor locations. Finally, we varied image properties of CNN training sets, and found marked changes in CNN processing dynamics and correspondence to brain activity. In sum, we show that image perturbations affect CNN-Brain correspondence in unexpected ways, as well as provide a rich methodological framework for assessing CNN-Brain correspondence across space, time, and frequency.

neuroscience↗

bioRxiv2020

Leptin receptor expression in the dorsomedial hypothalamus stimulates breathing during NREM sleep in db/db mice

Obesity can lead to recurrent upper airway obstruction (obstructive sleep apnea, OSA) during sleep as well as alveolar hypoventilation. We have previously shown that leptin stimulates breathing and treats OSA in leptin-deficient ob/ob mice and leptin-resistant diet-induced obese mice. Our previous data also suggest that leptins respiratory effects may occur in the dorsomedial hypothalamus (DMH). We selectively expressed leptin receptor LepRb in the DMH neurons of obese LepRb-deficient db/db mice (LepRb-DMH mice), which hypoventilate at baseline, and showed that intracerebroventricular injection of leptin in these animals increased inspiratory flow, tidal volume and minute ventilation during NREM sleep without any effect on the quality of NREM sleep or CO2 production. Leptin had no effect on upper airway obstruction in LepRb-DMH animals. We conclude that leptin stimulates breathing and treats obesity related hypoventilation acting on LepRb-positive neurons in the DMH.

physiology↗

bioRxiv2020

High-density Neural Recordings from Feline Sacral Dorsal Root Ganglia with Thin-film Array

Objective: Dorsal root ganglia (DRG) are promising sites for recording sensory activity. Current technologies for DRG recording are stiff and typically do not have sufficient site density for high-fidelity neural data techniques. Approach: In acute experiments, we demonstrate single-unit neural recordings in sacral DRG of anesthetized felines using a 4.5 m-thick, high-density flexible polyimide microelectrode array with 60 sites and 30-40 m site spacing. We delivered arrays into DRG with ultrananocrystalline diamond shuttles designed for high stiffness affording a smaller footprint. We recorded neural activity during sensory activation, including cutaneous brushing and bladder filling, as well as during electrical stimulation of the pudendal nerve and anal sphincter. We used specialized neural signal analysis software to sort densely packed neural signals. Main results: We successfully delivered arrays in five of six experiments and recorded single-unit sensory activity in four experiments. The median neural signal amplitude was 55 V peak-to-peak and the maximum unique units recorded at one array position was 260, with 157 driven by sensory or electrical stimulation. In one experiment, we used the neural analysis software to track eight sorted single units as the array was retracted ~500 m. Significance: This study is the first demonstration of ultrathin, flexible, high-density electronics delivered into DRG, with capabilities for recording and tracking sensory information that are a significant improvement over conventional DRG interfaces.

bioengineering↗

bioRxiv2020

Comparative analysis of seven short-reads sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing

BackgroundMGISEQ-T7 is a new whole-genome sequencer developed by Complete Genomics and MGI utilizing DNA nanoball and combinatorial probe anchor synthesis technologies for generating short reads at a very large scale - up to 60 human genomes per day. However, it has not been objectively and systematically compared against Illumina short-read sequencers. FindingsBy using the same KOREF sample, the Korean Reference Genome, we have compared seven sequencing platforms including BGISEQ-500, MGISEQ-T7, HiSeq2000, HiSeq2500, HiSeq4000, HiSeqX10, and NovaSeq6000. We measured sequencing quality by comparing sequencing statistics (base quality, duplication rate, and random error rate), mapping statistics (mapping rate, depth distribution, and %GC coverage), and variant statistics (transition/transversion ratio, dbSNP annotation rate, and concordance rate with SNP genotyping chip) across the seven sequencing platforms. We found that MGI platforms showed a higher concordance rate of SNP genotyping than HiSeq2000 and HiSeq4000. The similarity matrix of variant calls confirmed that the two MGI platforms have the most similar characteristics to the HiSeq2500 platform. ConclusionsOverall, MGI and Illumina sequencing platforms showed comparable levels of sequencing quality, uniformity of coverage, %GC coverage, and variant accuracy, thus we conclude that the MGI platforms can be used for a wide range of genomics research fields at approximately half the cost of the Illumina platforms.

bioinformatics↗

bioRxiv2019

Raptor genomes reveal evolutionary signatures of predatory and nocturnal lifestyles

BackgroundBirds of prey (raptors) are dominant apex predators in terrestrial communities, with hawks (Accipitriformes) and falcons (Falconiformes) hunting by day, and owls (Strigiformes) hunting by night.\n\nResultsHere, we report new genomes and transcriptomes for 20 species of birds, including 16 species of birds of prey, and high-quality reference genomes for the Eurasian eagle-owl (Bubo bubo), oriental scops-owl (Otus sunia), eastern buzzard (Buteo japonicus), and common kestrel (Falco tinnunculus). Our extensive genomic analysis and comparisons with non-raptor genomes identified common molecular signatures that underpin anatomical structure and sensory, muscle, circulatory, and respiratory systems related to a predatory lifestyle. Compared with diurnal birds, owls exhibit striking adaptations to the nocturnal environment, including functional trade-offs in the sensory systems (e.g., loss of color vision genes and selection for enhancement of nocturnal vision and other sensory systems) that are probably convergent with other nocturnal avian orders. Additionally, we found that a suite of genes associated with vision and circadian rhythm were differentially expressed between nocturnal and diurnal raptors, indicating adaptive expression change during the transition to nocturnality.\n\nConclusionsOverall, raptor genomes showed genomic signatures associated with the origin and maintenance of several specialized physiological and morphological features essential to be apex predators.

genomics↗

bioRxiv2018

Genomic perspectives on adaptation and conservation in the endangered long-tailed goral (Naemorhedus caudatus).

Native to the mountains of East Asia, the long-tailed goral (Naemorhedus caudatus) is a vulnerable wild ungulate in the tribe Caprini. To understand key conservation issues related to fragmentation and subsequent endangerment of this montane species, we sequenced and analyzed the genome of a long-tailed goral to explore historical demography, contemporary levels of genetic diversity, and potential immune response. When compared to ten additional mammalian reference genomes, we identified 357 positively selected genes (PSGs) in the long-tailed goral and 364 PSGs in the Caprini lineage. Gene Ontology analyses showed statistical enrichment in biological processes related to immune function and in genes and pathways related to blood coagulation. We also identified low levels of heterozygosity (0.00114) in the long-tailed goral along with decreases in population size relative to other species of Caprini. Finally, we provide evidence for positive selection on the muscle development gene myostatin (MSTN) in the Caprini lineage, which may have increased the muscle development and climbing ability in the caprine common ancestor. Low effective population size and decreased heterozygosity of the long-tailed goral raise conservation concern about the effects of habitat fragmentation, over harvest, and inbreeding on this vulnerable species.

bioinformatics↗

bioRxiv2018

The whale shark genome reveals how genomic and physiological properties scale with body size

The endangered whale shark (Rhincodon typus) is the largest fish on Earth and is a long-lived member of the ancient Elasmobranchii clade. To characterize the relationship between genome features and biological traits, we sequenced and assembled the genome of the whale shark and compared its genomic and physiological features to those of 81 animals and yeast. We examined scaling relationships between body size, temperature, metabolic rates, and genomic features and found both general correlations across the animal kingdom and features specific to the whale shark genome. Among animals, increased lifespan is positively correlated to body size and metabolic rate. Several genomic features also significantly correlated with body size, including intron and gene length. Our large-scale comparative genomic analysis uncovered general features of metazoan genome architecture: GC content and codon adaptation index are negatively correlated, and neural connectivity genes are longer than average genes in most genomes. Focusing on the whale shark genome, we identified multiple features that significantly correlate with lifespan. Among these were very long gene length, due to large introns highly enriched in repetitive elements such as CR1-like LINEs, and considerably longer neural genes of several types, including connectivity, activity, and neurodegeneration genes. The whale sharks genome had an expansion of gene families related to fatty acid metabolism and neurogenesis, with the slowest evolutionary rate observed in vertebrates to date. Our comparative genomics approach uncovered multiple genetic features associated with body size, metabolic rate, and lifespan, and showed that the whale shark is a promising model for studies of neural architecture and lifespan.

genomics↗

bioRxiv2017

A whole genome analysis of the red-crowned crane provides insight into avian longevity

The red-crowned crane (Grus japonensis) is an endangered and large-bodied crane native to East Asia. It is a traditional symbol of longevity and its long lifespan has been confirmed both in captivity and in the wild. Lifespan in birds is positively correlated with body size and negatively correlated with metabolic rate; although the genetic mechanisms for the red-crowned cranes long lifespan have not previously been investigated. Using whole genome sequencing and comparative evolutionary analyses against the grey-crowned crane and other avian genomes, we identified candidate genes that are correlated with longevity. Included among these are positively selected genes with known associations with longevity in metabolism and immunity pathways (NDUFA5, NDUFA8, NUDT12 IL9R, SOD3, NUDT12, PNLIP, CTH, and RPA1). Our analyses provide genetic evidence for low metabolic rate and longevity, accompanied by possible convergent adaptation signatures among distantly related large and long-lived birds. Finally, we identified low genetic diversity in the red-crowned crane, consistent with its listing as an endangered species, and we hope this genome will provide a useful genetic resource for future conservation studies of this rare and iconic species.

bioinformatics↗

bioRxiv2017

KoVariome: Korean National Standard Reference Variome database of whole genomes with comprehensive SNV, indel, CNV, and SV analyses

High-coverage whole-genome sequencing data of a single ethnicity can provide a useful catalogue of population-specific genetic variations. Herein, we report a comprehensive analysis of the Korean population, and present the Korean National Standard Reference Variome (KoVariome). As a part of the Korean Personal Genome Project (KPGP), we constructed the KoVariome database using 5.5 terabases of whole genome sequence data from 50 healthy Korean individuals with an average coverage depth of 31x. In total, KoVariome includes 12.7M single-nucleotide variants (SNVs), 1.7M short insertions and deletions (indels), 4K structural variations (SVs), and 3.6K copy number variations (CNVs). Among them, 2.4M (19%) SNVs and 0.4M (24%) indels were identified as novel. We also discovered selective enrichment of 3.8M SNVs and 0.5M indels in Korean individuals, which were used to filter out 1,271 coding-SNVs not originally removed from the 1,000 Genomes Project data when prioritizing disease-causing variants. CNV analyses revealed gene losses related to bone mineral densities and duplicated genes involved in brain development and fat reduction. Finally, KoVariome health records were used to identify novel disease-causing variants in the Korean population, demonstrating the value of high-quality ethnic variation databases for the accurate interpretation of individual genomes and the precise characterization of genetic variations.

genomics↗

bioRxiv2017

Myotis rufoniger Genome Sequence and Analyses: M. rufoniger’s Genomic Feature and the Decreasing Effective Population Size of Myotis Bats

Myotis rufoniger is a vesper bat in the genus Myotis. Here we report the whole genome sequence and analyses of the M. rufoniger. We generated 124 Gb of short-read DNA sequences with an estimated genome size of 1.88 Gb at a sequencing depth of 66x fold. The sequences were aligned to M. brandtii bat reference genome at a mapping rate of 96.50% covering 95.71% coding sequence region at 10x coverage. The divergence time of Myotis bat family is estimated to be 11.5 million years, and the divergence time between M. rufoniger and its closest species M. davidii is estimated to be 10.4 million years. We found 1,239 function-altering M. rufoniger specific amino acid sequences from 929 genes compared to other Myotis bat and mammalian genomes. The functional enrichment test of the 929 genes detected amino acid changes in melanin associated DCT, SLC45A2, TYRP1, and OCA2 genes possibly responsible for the M. rufonigers red fur color and a general coloration in Myotis. N6AMT1 gene, associated with arsenic resistance, showed a high degree of function alteration in M. rufoniger. We further confirmed that M. rufoniger also has bat-specific sequences within FSHB, GHR, IGF1R, TP53, MDM2, SLC45A2, RGS7BP, RHO, OPN1SW, and CNGB3 genes that have already been published to be related to bats reproduction, lifespan, flight, low vision, and echolocation. Additionally, our demographic history analysis found that the effective population size of Myotis clade has been consistently decreasing since [~]30k years ago. M. rufonigers effective population size was the lowest in Myotis bats, confirming its relatively low genetic diversity.

genomics↗