Biology subjects

Song, Y. J.

Publications and source records attributed to Song, Y. J..

12 recordsLinked to original sources

bioRxiv2026

Nuclear speckles comprise hierarchical nanoscale interaction networks that shape molecular dynamics

Biomolecular condensates organize essential cellular processes, but how their internal architecture regulates molecular behavior in living cells remains poorly understood. Here, we use MINFLUX nanoscopy for quantitative single-molecule imaging and live-cell tracking to resolve the organization and dynamics of specific macromolecules within nuclear speckles. Rather than behaving as uniform liquid-like compartments, nuclear speckles are hierarchically organized into dynamic nanoscale interaction networks. Proteins and RNAs assemble into molecular clusters that generate transient interaction nanodomains, where individual molecules alternate between diffusion and confinement while exploring higher-order networks. Physiological and genetic perturbations selectively remodel molecular clustering and nanodomain organization, and these changes are not consistently coupled to changes in the abundance of the measured components. Together, these findings reveal a multiscale organization of nuclear speckles in which molecular clustering, transient confinement, and dynamic exchange represent distinct but interconnected features of condensate architecture in living cells.

cell biology↗

bioRxiv2026

Predicting Human mRNA Isoform Levels from Site-Specific Splicing Kinetics in silico

Splicing of pre-mRNA can result in multiple possible mRNA isoforms per gene due to alternative splicing. The frequency at which individual isoforms occur depends on the intrinsic splicing kinetics of the pre-mRNA as well as intracellular chemical conditions. Computational modeling can potentially provide a platform to rapidly assess how variations in intracellular and environmental conditions, for example differential levels of regulatory splicing proteins, affect kinetics and resulting mRNA isoforms. Overcoming the vast combinatoric possibilities of splicing, however, has remained a significant challenge in modeling its kinetics. Here we report the development of a stochastic kinetic model of splicing that is extensible to most protein-coding genes in the human genome. Our model allows for variations in site-specific reaction rates as well as the ability to introduce additional splicing factors. We experimentally validate the predictive capability of our computational model by exploring the spliced isoform ratio of a target gene (SRSF6) under normoxia and hypoxia. This work provides a resource for quantitative, computational analysis of pre-mRNA splicing, allowing for a rapid computational-experimental approach to assess biological hypotheses. Author summarymRNA splicing is a key step in human gene expression with deep impact on the molecular processes determining cell physiology and affecting development and disease. Computational models of splicing are highly attractive to understand life processes but so far have been limited in directly accounting for the chemistry of splicing and are not extensible to most of the human genome. We report here a model that overcomes both of these challenges, providing a computational benchtop to probe splicing kinetics for most genes in the human genome. This model has the capability to rapidly pose biological hypotheses for experimental validation. As a targeted demonstration, we explore the effects of the pathologically-relevant chemical condition hypoxia on the pre-mRNA of a single gene.

biophysics↗

bioRxiv2026

Non-canonical function of the splicing activator U2AF2 in promoting intron retention in the lncRNAs PURPL and MALAT1

Intron retention (IR) is increasingly recognized as a feature of long noncoding RNAs (lncRNAs), yet the mechanisms that shape IR in lncRNAs and the functional consequences of this process remain largely unexplored. To investigate how IR contributes to lncRNA regulation, we performed a genome-wide screen to identify factors controlling IR in the lncRNA PURPL. This approach uncovered a prominent role for U2AF2, which promotes retention of a specific intron in PURPL through a weak polypyrimidine tract. IR of this intron drives nuclear enrichment of PURPL and enhances cell proliferation, revealing biological relevance. Transcriptome-wide analyses showed that although U2AF2 broadly supports canonical splicing consistent with its well-established function in promoting splicing, it also facilitates IR within a distinct subset of RNAs, including the nuclear speckle-associated lncRNA MALAT1. Loss of U2AF2 disrupts MALAT1 speckle localization and using MALAT1 knockout cells reconstituted with wild-type or intron deleted variants, we identified a single intron critical for MALAT1s speckle localization. Deletion of this intron from endogenous MALAT1 impaired speckle localization and reduced cell migration, phenocopying the loss of MALAT1. Together, these findings reveal IR as a key regulatory mechanism governing lncRNA localization and function and uncover an unexpected role for U2AF2 in promoting IR within specific lncRNA contexts.

cell biology↗

bioRxiv2025

Targeted degradation of SARS-CoV-2 via the autophagy-lysosome system using chemical mimetics of the N-degron pathway

In the N-degron pathway, ATE1 transfers the amino acid L-arginine (L-Arg) from Arg-tRNAArg to N-terminal (Nt) residues of cellular proteins. The resulting Arg/N-degrons bind the autophagic receptor p62/SQSTSM-1/Sequestosome-1 to induce lysosomal degradation of various biomaterials. Here, we demonstrate that the chemical mimetics of Arg/N-degrons, termed autophagy-targeting ligands (ATLs), can induce lysosomal degradation of SARS-CoV-2 (severe acute respiratory syndrome coronavirus-2) via p62-mediated macroautophagy. In Vero E6 cells infected with SARS-CoV-2, ATLs promoted p62 self-polymerization and enhanced LC3 synthesis and lipidation, leading to viral sequestration within autophagosomes for lysosomal degradation. In transgenic mice overexpressing human angiotensin-converting enzyme 2 (ACE2), oral administration of ATL1014 inhibited viral replication and increased viability. In a Syrian hamster model, ATL1014 attenuated viral replication in the lungs and demonstrated efficacy in inflammatory lesions and pulmonary congestions. These results identify the N-degron pathway as a potential target for a host-targeting strategy (HTS) against a broad spectrum of viruses.

microbiology↗

bioRxiv2025

Nuclear speckle proteins form intrinsic and MALAT1-dependent microphases

Nuclear speckles are enriched in serine / arginine rich splicing factors (SRSFs), such as SRSF1. Splicing factors and proteins such as TDP-43 concentrate into distinct speckle territories to enable pre-mRNA processing. We have discovered that SRSFs and TDP-43 are block copolymers and the protein-specific interplay of inter-block repulsions and attractions drives spontaneous microphase separation. This gives rise to size-limited, ordered assemblies, that are 30 - 45 nm in diameter. Depending on the protein, each microphase comprises several tens to hundreds of molecules. The sub-micron scale territories observed in cells are shown to be clusters of microphases. The regulatory lncRNA MALAT1 binds preferentially to SRSF1 microphases to enhance microphase separation and alter microphase structures. Microphase separation enables the concentration of finite numbers of splicing factors into assemblies with distinct nanoscale structures that can be modulated by MALAT1. Our findings provide a structural framework for the functional organization of splicing factors.

biophysics↗

bioRxiv2024

Chromatin-associated lncRNA-splicing factor condensates regulate hypoxia responsive RNA processing of genes pre-positioned near nuclear speckles

Hypoxia-induced alternative splicing (AS) regulates tumor progression and metastasis. Little is known about how such AS is controlled and whether higher-order genome and nuclear domain (ND) organizations dictate these processes. We observe that hypoxia-responsive alternatively spliced genes position near nuclear speckle (NS), the ND that enhances splicing efficiency. NS-resident MALAT1 long noncoding RNA, induced in response to hypoxia, regulates hypoxia-responsive AS. MALAT1 achieves this by organizing the SR-family of splicing factor, SRSF1, near NS and regulating the binding of SRSF1 to pre-mRNAs. Mechanistically, MALAT1 enhances the recruitment of SRSF1 to elongating RNA polymerase II (pol II) by promoting the formation of phase-separated condensates of SRSF1, which are preferentially recognized by pol II. During hypoxia, MALAT1 regulates spatially organized AS by establishing a threshold SRSF1 concentration near NSs, potentially by forming condensates, critical for pol II-mediated recruitment of SRSF1 to pre-mRNAs.

molecular biology↗

bioRxiv2024

Redirecting DNA repair for efficient CRISPR-Cas-based gene targeting in tomato

The CRISPR-Cas-based gene targeting (GT) method has enabled precise modifications of genomic DNA ranging from single base to several kilobase scales through homologous recombination (HR). In plant somatic cells, canonical nonhomologous end-joining (cNHEJ) is the predominant mechanism for repairing double-stranded breaks (DSBs), thus limiting the HR-mediated GT. In this study, we implemented various approaches to shift the repair pathway preference toward HR by using a dominant-negative KU80 mutant protein (KUDN) to disrupt the initiation of cNHEJ and enhance DSB end resection through nucleases. Our results show from 1.71- to 3.55-fold improvement of the GT efficiency at the callus stage and a more remarkable, up to 9.84-fold, increase in GT efficiency at two specific tomato loci, SlHKT1;2 and SlEPSPS1, when we screened transformants obtained from the KUDN-mediated cNHEJ suppression approach. With practical levels of efficiency, this enhanced KUDN-based GT tool successfully facilitated GT at an additional locus, SlCAB13. These findings provide a promising method for more efficient and precise plant breeding in the future.

plant biology↗

bioRxiv2024

Breakthrough in Dicot Prime Editing: Enabling Heritable Desired Edits in Tomato and Arabidopsis

Prime editing (PE) enables almost all types of precise genome editing in animals and plants. It has been successfully adapted to edit several plants at variable efficiency and versatility. However, this technique is inefficient for dicots for unknown reasons. Here, by employing novel combinations of PE components, including an RNA chaperone and modified epegRNAs driven by a PolII-PolIII composite promoter and a viral replicon system, we obtained up to 9.7% of the desired PE efficiency at the callus stage assessed by targeted deep sequencing. Subsequently, we identified that up to 38.2% of transformants contained desired PE alleles in tomatoes and Arabidopsis, marking the first successful heritable PE transmission in dicots. Our PE tools also showed high accuracy, specificity, and multiplexing capability, which unlocked the potential for practical PE applications in dicots, paving the way for transformative advancements in plant sciences.

synthetic biology↗

bioRxiv2022

CRISPR/Cas-based precision gene replacement in plants via homologous recombination-independent approaches

Precise gene or allele replacement is a desirable technology, but implementing it in plants remains challenging. CRISPR-Cas-based approaches, such as gene targeting (GT) and prime editing (PE), have opened up new possibilities for precise gene replacement in plants. However, their editing size and efficiency still need improvement. Recently, strategies using canonical nonhomologous end-joining (cNHEJ) and microhomology-mediated end joining (MMEJ) have been considered promising alternatives for precise gene replacement in yeast and mammals. However, these approaches have not been extensively explored and applied to plants. Here, we proposed and tested a CRISPR-Cas-based tool, termed PREMJ (precision gene replacement via microhomology-mediated end joining), for precision gene replacement in plants. The PREMJ strategy employing 20-bp microhomology MMEJ donors ([~]100 bp lengths) and a canonical nonhomologous end-joining (cNHEJ) inhibitor, NU7441, produced high targeted gene replacement efficiencies, up to 1.60 {+/-} 0.14, 4.47 {+/-} 1.98, and 8.98 {+/-} 4.73 % in protoplasts of tomato, lettuce, and cabbage, respectively. Our data also revealed the critical impacts of the microhomology length and NU7441 concentration on PREMJ-based precision gene editing in plants. Although obtaining edited plants remains challenging due to inefficient protoplast regenerations and Agrobacterium-mediated delivery, PREMJ may significantly contribute to precision gene editing in plants competent to PREMJ complex delivery and plant regeneration. Key MessageWe designed and tested a method, termed PREMJ, for precise gene replacement using the CRISPR-Cas-mediated double-stranded break (DSB) formation and repairing the DSBs via microhomology-mediated end joining (MMEJ) with MMEJ donor template carrying desired base changes and microhomologies flanking the DSB ends. PREMJ showed feasibility in precise gene replacement in protoplasts of tomatoes, lettuce, and cabbage, albeit its efficacy in Agrobacterium-mediated plant transformation requires further optimization.

synthetic biology↗

bioRxiv2022

Monoallelically-expressed Noncoding RNAs form nucleolar territories on NOR-containing chromosomes and regulate rRNA expression

Out of the several hundred copies of rRNA genes that are arranged in the nucleolar organizing regions (NOR) of the five human acrocentric chromosomes, [~]50% remain transcriptionally inactive. NOR-associated sequences and epigenetic modifications contribute to differential expression of rRNAs. However, the mechanism(s), controlling the dosage of active versus inactive rRNA genes in mammals is yet to be determined. We have discovered a family of ncRNAs, SNULs (Single NUcleolus Localized RNA), which form constrained sub-nucleolar territories on individual NORs and influences rRNA expression. Individual members of the SNULs monoallelically associate with specific NOR-containing chromosome. SNULs share sequence similarity to pre-rRNA and localize in the sub-nucleolar compartment with pre-rRNA. Finally, SNULs control rRNA expression by influencing pre-rRNA sorting to the DFC compartment and pre-rRNA processing. Our study discovered a novel class of ncRNAs that by forming constrained nucleolar territories on individual NORs contribute to rRNA expression.

cell biology↗

bioRxiv2020

Cocaine receptor identified as BASP1

Cocaine is a behavioral stimulant with substantial abuse potential related to its positively rewarding actions 1,2. Cocaine inhibits the reuptake inactivation of neurotransmitters such as dopamine, serotonin, and norepinephrine at high nanomolar to low micromolar concentrations 2. There is evidence for substantially more potent influences of cocaine. For instance, Calligaro and Eldefrawi reported binding of [3H]cocaine to brain membranes with a dissociation constant of about 16 nM 3. At 10 nM concentration, cocaine elicits environmental place conditioning in planarians 4. Furthermore, 1nM cocaine enhances dopamine D2 receptor agonist-mediated signaling 5. Inhibition of amine reuptake by cocaine is substantially less potent than some of these high affinity actions. Thus, evidence for a specific, high affinity receptor for cocaine that mediates its behavioral actions has been lacking. We now report high affinity binding of cocaine to the membrane-associated brain acid soluble protein-1 (BASP1) with a Kd of 7 nM. Knocking down BASP1 in the striatum inhibits [3H]cocaine binding to striatal synaptosomes. Depletion of BASP1 in the nucleus accumbens diminishes locomotor stimulation, acquisition, and expression of locomotor sensitization to cocaine. Our findings indicate that BASP1 is a pharmacologically relevant receptor for cocaine and a putative therapeutic target for psychostimulant addiction.

pharmacology and toxicology↗

bioRxiv2020

Mechanistic analysis of enhancer sequences in the Estrogen Receptor transcriptional program

BackgroundEstrogen Receptor (ER) is a major lineage determining transcription factor (TF) in mammary gland development, orchestrating the expression of thousands of genes. Dysregulation of ER-mediated transcriptional program results in abnormal cell proliferation and cancer. Transcriptomic and epigenomic profiling of breast cancer cell lines has revealed large numbers of enhancers involved in this regulatory program, but how these enhancers encode function in their sequence remains poorly understood. ResultsA subset of ER-bound enhancers are transcribed into short bidirectional RNA (enhancer RNA or eRNA), and this property is believed to be a reliable marker of active enhancers. We therefore analyze thousands of ER-bound enhancers and build quantitative, mechanism-aware models to discriminate eRNAs from non-transcribing enhancers based on their sequence. Our thermodynamics-based models provide insights into the roles of specific TFs in ER-mediated transcriptional program, many of which are supported by the literature. We use in silico perturbations to predict TF-enhancer regulatory relationships and integrate these findings with experimentally determined enhancer-promoter interactions to construct a gene regulatory network. We also demonstrate that the model can prioritize breast cancer-related sequence variants while providing mechanistic explanations for their function. Finally, we experimentally validate the model-proposed mechanisms underlying three such variants. ConclusionsWe modeled the sequence-to-expression relationship in ER-driven enhancers and gained mechanistic insights into the workings of a major transcriptional program. Our model is consistent with the current body of knowledge and its predictions are confirmed by experimental observations. We believe this to be a promising approach to analysis of regulatory sequences and variants.

bioinformatics↗