Biology subjects

Sun, S.

Publications and source records attributed to Sun, S..

At least 91 records · Page 5Linked to original sources

bioRxiv2025

Meiosis-specific genes play roles in ploidy reduction in Cryptococcus neoformans titan cells

Cryptococcus neoformans is a fungal pathogen of humans that causes life-threatening meningoencephalitis. During infection, enlarged, polyploid titan cells are produced that promote persistence in the host, in part by resisting phagocytosis; under stress conditions, such as exposure to the antifungal drug fluconazole, titan cells can produce aneuploid or diploid, drug-resistant daughter cells. However, the mechanism underlying this ploidy reduction remains poorly understood. Interestingly, meiosis related genes have been shown to be activated during Cryptococcus infection, leading us to hypothesize that the depolyploidization of C. neoformans titan cells may occur through a process resembling the ploidy reduction during meiosis. In this study, we show that titan cells developed from diploid strains predominantly produce diploid daughter cells with haploid daughters observed infrequently. We further demonstrate that meiosis-specific genes, including DMC1 and SPO11, are critical for stable inheritance of a diploid genome in the daughter cells. Specifically, deletion of these genes in a heterozygous diploid background resulted in: 1) titan cells with a significantly reduced capacity to produce daughter cells; 2) increased phenotypic variation among daughter cells produced by the titan cells, including traits that could be relevant to cell growth and viability; and 3) daughter cells produced by the titan cells exhibiting high levels of loss of heterozygosity (LOH) and aneuploidy, suggesting elevated genome instability. Taken together, these findings demonstrate the importance of meiosis-specific genes in the ploidy reduction process of titan cells derived from a heterozygous diploid background in an important human fungal pathogen. SIGNIFICANCEPolyploid titan cells are central to Cryptococcus neoformans persistence during infection, yet how they reduce ploidy to generate daughter cells was unclear. In most eukaryotes, the meiosis-related proteins Spo11 and Dmc1 are best known for initiating (double-strand break formation) and executing (strand exchange) meiotic recombination, respectively. Here, we show that in C. neoformans, Dmc1 and Spo11 are critical for polyploid titan cells to produce viable daughter cells with reduced ploidy specifically in a heterozygous diploid context, ensuring genome stability without introducing detectable canonical meiotic recombination. Loss of either gene compromises daughter cell production and causes genome instability (LOH, aneuploidy) and phenotypic heterogeneity. These findings reveal a "para-meiosis" safeguard that preserves genomic configurations during titan cell depolyploidization in C. neoformans.

genetics↗

bioRxiv2025

SomaMutDB 2.0: A comprehensive database for exploring somatic mutations and their functional impact in normal human tissues

Recent advances in ultra-accurate sequencing technologies have revealed that somatic mutations accumulate across the human lifespan and may contribute to both normal aging and disease. These mutations are highly diverse, often non-recurrent, and functionally heterogeneous, which makes their biological impact difficult to evaluate systematically. Although many studies have profiled somatic mutations in individual tissues or limited cohorts, a centralized and scalable platform that integrates discoveries and supports functional interpretation has been lacking. To address this gap, we present SomaMutDB 2.0 (https://somamutdb.org/SomaMutDB/), a substantially expanded database that catalogs 8.9 million mutations (8.57 million SNVs and 0.29 million INDELs) from 10,852 samples of 607 human subjects across 47 studies. Beyond expanded data coverage, SomaMutDB 2.0 introduces a comprehensive functional annotation framework that applies 22 predictive models, encompassing coding, regulatory, expression-based, and ensemble predictors, to systematically assess mutational impact. Users can browse pre-annotated variants through an interactive interface or upload their own variants for real-time analysis, with results contextualized against all mutations from normal, non-diseased tissues in the database. Together, these advances establish SomaMutDB 2.0 as the most comprehensive resource currently available for characterizing somatic mosaicism and functional interpretation in human health and aging. Graphical AbstractSomaMutDB 2.0 provides an expanded catalog of 8.9 million somatic mutations across 30 tissues, along with pipelines for mutational signature analysis and 22-tool functional annotation that enable user-submitted variant interpretation. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=113 SRC="FIGDIR/small/676124v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@1c76484org.highwire.dtl.DTLVardef@1984f71org.highwire.dtl.DTLVardef@8789a9org.highwire.dtl.DTLVardef@5ed54a_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

bioRxiv2025

Complete telomere-to-telomere genomes of cowpea reveal insights into centromere evolution in Phaseoleae

Cowpea (Vigna unguiculata) is a versatile legume crop providing a critical source of grain, vegetable and forage globally. Cultivated cowpea is classified into two main subspecies, subsp. sesquipedalis for fresh-pod vegetable and subsp. unguiculata for grain production. Here, we present two complete telomere-to-telomere (T2T) assemblies for the grain-type inbred lines HJD and vegetable-type FC6 through integrating PacBio HiFi reads, Oxford Nanopore ultra-long reads, and Hi-C data. The T2T genomes demonstrated improved contiguity, completeness, and accuracy compared to existing genomes, revealing clear telomeric and centromeric features. Comparative analysis of the T2T genomes highlighted inversions underlying subspecies divergence in cowpea. Evolutionary analysis uncovered contraction of gene families related to symbiosis in HJD, consist with its reduced root nodules compared to FC6. Distribution and composition of tandem repeat arrays and transposable elements in centromeric regions were largely conserved in cowpea, but displayed pronounced variation among Phaseoleae. Furthermore, frequent shifts of centromeric locations coincided with inversions found in Phaseoleae. Overall, this study provides a set of fundamental resources for cowpea improvement and enhances our understanding of cowpea subspecies divergence and genome evolution in Phaseoleae.

genomics↗

bioRxiv2025

A chromosome-level genome resource for the lethal tapeworm Sparganum proliferum, with candidate genomic safe harbours for functional genetics

Sparganum proliferum is an enigmatic and highly proliferative cestode known for its ability to form invasive larval infections in mammalian hosts. Here, we present the first chromosome-level genome assembly for a member of the order Diphyllobothriidea, generated using a hybrid sequencing approach that integrates Oxford Nanopore/PacBio long-read sequencing, Illumina short-read sequencing, and Hi-C scaffolding. The final genome assembly spanned approximately 681 megabases (Mb) across nine chromosomes. BUSCO analysis revealed 81.9% completeness, whereas repeat annotation identified 55.8% of the genome as repetitive elements. Gene annotation uncovered approximately 29,000 protein-coding genes including [~]6200 transposon associated genes, highlighting the complex genomic landscape underlying parasitic lifestyles. Synteny analysis with other cestode linages including Echinococcus and Hymenolepis provided insights into the structural organisation and evolutionary trajectory of S. proliferum. In addition, we identified candidate genomic safe harbour (GSH) loci and promoters from housekeeping genes, offering potential for stable transgene integration. This high-quality genome serves as a critical resource for studying parasite evolution, host adaptation mechanisms, and the molecular basis of invasive proliferation in cestodes.

genomics↗

bioRxiv2025

A comprehensive RNA virome from molluscan transcriptomes reveals extensive diversity and modular genome evolution

Mollusca is the second-largest animal phylum and an important marine food resource for humans. While DNA viruses that threaten molluscan aquaculture have received much attention, molluscan RNA viromes remain poorly explored. Here, based on 223 molluscan metatranscriptomes covering eight animal classes, we identified 80 species-level RNA viruses spanning three viral phyla and nine viral families. Phylogenetic result combined structural modeling found a major increase in the number of Pisuviricota-related lineages. Extensive modular evolution in viral genomes was observed including gene rearrangements and co-evolution of capsid and RdRP genes. Host prediction linked 78% of the RNA viruses to a diverse range of eukaryotes, including vertebrates, invertebrates, and algae. These findings expand the known diversity of RNA viruses in molluscs and shed light on their phylogenetic relationships, highlighting molluscs as valuable models for RNA virus evolution. Graphical abstractRNA virus diversity within 223 molluscan transcriptome samples were analyzed based on RdRP identification. Viruses belonging to the phylum Pisoviricota were the most abundant; co-evolution between RdRP and capsid proteins of molluscan Picornavirales was revealed, and a complex virus-host interaction network was constructed. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=153 SRC="FIGDIR/small/673676v1_ufig1.gif" ALT="Figure 1"> View larger version (44K): org.highwire.dtl.DTLVardef@1ce8fc0org.highwire.dtl.DTLVardef@3f9068org.highwire.dtl.DTLVardef@121cc2forg.highwire.dtl.DTLVardef@1e431a0_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIComprehensive metatranscriptomic analysis found extensive RNA viral diversity in molluscs. C_LIO_LIPisuviricota dominate the molluscan RNA virome, substantially broadening known viral lineages. C_LIO_LIModular genome evolution involving gene rearrangements and conserved structural features characterize molluscan RNA viruses. C_LIO_LIMolluscs potentially serve as major ecological reservoirs for diverse RNA viruses infecting various eukaryotic hosts. C_LI

bioinformatics↗

bioRxiv2025

Genomic Evidence for a-α Heterothallic and α-α Unisexual Mating and Recombination in an Environmental Cryptococcus deneoformans Population

Cryptococcus deneoformans is a human fungal pathogen capable of both a- and - mating and sexual reproduction in laboratory settings. However, the extent of a- and - sexual reproductions in natural populations remain unexplored. Here we analyzed the whole-genome sequences of 24 environmental strains of C. deneoformans from western Saudi Arabia, including one MATa and 23 MAT isolates, with 15 MAT isolates belonging to multi-locus sequence type ST160 as defined by their combined DNA sequences at seven loci. To identify signatures for a- and - reproduction, three samples were analyzed: total, MAT, and ST160. For each subpopulation, single nucleotide polymorphisms (SNPs) were identified for both the nuclear and mitochondrial genomes and subjected to four-gamete tests. In the total population and the MAT subpopulation, variable proportions of SNP pairs within as well as between the nuclear and the mitochondrial genomes showed evidence for recombination. Though no mitogenome SNPs were found among the 15 strains of ST160, the nuclear genome showed clear evidence for recombination, including among SNPs within the mating type region. In addition, the nuclear genome SNP pairs located further apart on the same chromosome showed a greater frequency of recombination in all three sample types. In contrast, mitogenome recombination breakpoints were mainly located in two genomic regions. Together, these results provide robust evidence for both a- and - sexual reproduction within this environmental population of C. deneoformans. Article SummaryThis study compares conclusions drawn from multilocus sequence data and whole-genome SNP data regarding genetic diversity and reproduction in an environmental population of Cryptococcus deneoformans. By analyzing bi-allelic SNPs across 24 strains isolated from western Saudi Arabian soils, evidence of both a- and - recombination was found, suggesting the occurrence of both a- and - sexual reproduction in nature. This provides strong support for these reproductive modes and indicates diverse mechanisms of genetic exchange in fungal pathogens in nature. Additionally, our results suggest that multi-locus sequence typing underestimates genetic diversity, potentially confounding interpretations of population structure and evolutionary history.

microbiology↗

bioRxiv2025

Spatial transcriptomics identifies distinct domains regulating yield-related traits of the wheat ear

Cereal inflorescences are complex, highly ordered structures composed of grain-producing florets that form within specialised branches called spikelets. The spikelets of wheat are arranged in two alternating rows along a central rachis, in a pattern determined during early reproductive development. While several genes that control spikelet development have been identified, the molecular processes that regulate their morphology and the formation of supporting structures, such as meristems and the rachis, remain poorly understood. Here, we used spatial transcriptomics to investigate the dynamic transcriptional landscape of a wheat inflorescence during spikelet development. We identified two spatially distinct regions that regulate spikelet architecture, including a primordium region characterised by RAMOSA2 activity, and a boundary region that expresses ALOG1 and known regulators of bract suppression. Developmental assays indicate that spikelets differentiate from meristematic regions, which is accompanied by formation of central vascular regions of the rachis and inflorescence base that express genes controlling spikelet number. The combined spatial transcriptome and genetic data reveal key regulators of spikelet development, including target genes for improving spikelet number and yield.

plant biology↗

bioRxiv2025

Nuclear polysaccharides maintain H3K9me3-heterochromatin and genomic stability

Polysaccharides are known to be synthesized by enzymes in the endoplasmic reticulum and Golgi apparatus and transported through the secretory pathway to the cell surface or extracellular space1, where they mediate essential biological processes2-6. While classical localization and functions of polysaccharides are well established, their presence and potential roles in the nucleus remain unclear. Here, we demonstrate that N-glycans, a type of polysaccharides, are present in the cell nucleus and modify inner nuclear membrane (INM) proteins across diverse cell types--a modification referred to as N-linked glycosylation (N-glycosylation). N-glycosylation is enriched in chromatin regions marked by H3K9me3 and long interspersed nuclear element-1 (LINE-1) retrotransposons. N-glycosylation inhibition and INM protein N-glycosylation site mutation both downregulate H3K9me3 within lamina-associated domains (LADs) and lead to genomic instability. Mechanistically, N-glycosylation regulates the interaction between the histone H3K9 methyltransferase SETDB1 and INM proteins, promotes the association of SETDB1 with the INM, and maintains H3K9me3. Moreover, we reveal that canonical N-glycan biosynthetic machinery in ER contributes to the N-glycosylation of INM proteins. These findings uncover a previously unrecognized nuclear role for polysaccharides, broadening our understanding beyond their traditional subcellular distributions and functional profiles.

molecular biology↗

bioRxiv2025

Human ribosome interactions reframe neomycin toxicity

Aminoglycosides such as neomycin are clinically limited by toxicity, commonly attributed to the inhibition of mitoribosomes. Here, we re-evaluate this mechanism by integrating Cryo-EM and functional assays to assess neomycins binding potential in vitro with its cellular engagement and functional consequences. Cryo-EM revealed extensive multi-site binding of neomycin on both human mitochondrial and cytosolic ribosomes in vitro, including conserved regions of the decoding center. In contrast, ribosomes isolated from neomycin-treated cells show markedly remodeled occupancy patterns, with no detectable neomycin bound to the mitoribosomes and reduced occupancy at a subset of cytosolic ribosome sites. However, neomycin remained functionally active in cells, inducing widespread stop-codon readthrough while having minimal effects on global mitochondrial and cytosolic protein synthesis. These findings reveal a disconnect between structural binding potential and cellular target engagement and identify disruption of translational fidelity, rather than global translational inhibition, as a major cellular consequence of neomycin exposure.

biochemistry↗

bioRxiv2025

Uniquely high spontaneous mutational load in blood cells of XP-C patients

We discovered a uniquely high spontaneous somatic mutational load in peripheral blood mononuclear cells (PBMCs) of Xeroderma Pigmentosum group C (XP-C) patients, characterized by elevated single nucleotide variants associated with mutation signatures SBS8 and SBS32, as well as an enrichment of single-nucleotide cytosine deletions. This hypermutability was markedly lower in fibroblasts, suggesting a replication-dependent mechanism of mutagenesis due to deficient global genome nucleotide excision repair (GG-NER). Our findings reveal distinct molecular subtypes within XP defined by spontaneous mutational load in normal blood cells and demonstrate that the exceptionally high mutation burden in XP-C leukemia originates from mutations already present prior to malignant transformation.

genomics↗

bioRxiv2025

Inhibition of nonsense-mediated decay in TDP-43 deficient neurons reveals novel cryptic exons

TAR DNA-binding protein 43 kDa (TDP-43) is an essential splicing repressor whose loss of function underlies the pathophysiology of amyotrophic lateral sclerosis and frontotemporal dementia (ALS-FTD). Nuclear clearance of TDP-43 disrupts its function and leads to the inclusion of aberrant cryptic exons. These cryptic exons frequently introduce premature termination codons resulting in the degradation of affected transcripts through nonsense-mediated mRNA decay (NMD). Conventional RNA sequencing approaches thus may fail to detect cryptic exons that are efficiently degraded by NMD, precluding identification of potential therapeutic targets. We generated a comprehensive set of neuronal targets of TDP-43 in human iPSC-derived i3Neurons (i3N) by combining TDP-43 knockdown with inhibition of multiple factors essential for NMD, revealing novel cryptic targets. We then restored expression of selected NMD targets in TDP-43 deficient i3Ns and determined which genes improved neuronal viability. Our findings highlight the role of NMD in masking cryptic splicing events and identify novel potential therapeutic targets for TDP-43-related neurodegenerative disorders.

neuroscience↗

bioRxiv2025

MassNet: billion-scale AI-friendly mass spectral corpus enables robust de novo peptide sequencing

Breakthroughs in artificial intelligence (AI) for natural language processing and computer vision have been largely driven by high-quality, large-scale datasets such as OpenWebText and ImageNet. Inspired by this, we present MassNet, a foundational resource for proteomics designed to accelerate deep learning applications. MassNet is the largest known corpus of data-dependent acquisition (DDA) mass spectrometry (MS) data, derived from ~30 TB of raw files and comprising 1.54 billion MS/MS spectra, resulting in 558 million peptide-spectrum matches (PSMs) across 35 species, including animals, plants, and microbes. Within the human subset, MassNet includes more than 1.7 million precursors and 19,966 proteins, covering 98% of annotated human proteins. To enable efficient AI training, we developed the Mass Spectrometry Data Tensor (MSDT), a structured format based on Parquet that enables standardized, high-performance batch access and seamless integration with GPU and TPU platforms for distributed training. We further extended MassNet to support de novo peptide sequencing, which infers peptide sequences directly from MS/MS spectra without reference databases, and is critical for discovering novel proteins, characterizing non-model organisms, and identifying post-translational modifications (PTMs). We introduce XuanjiNovo, a non-autoregressive Transformer model that leverages a curriculum learning strategy to enhance training stability. By dynamically adjusting learning difficulty based on model performance, XuanjiNovo achieves smooth convergence on complex, multi-distributional data without manual hyperparameter tuning. Trained on 100 million PSMs from the MassNet, it consistently outperforms state-of-the-art methods across diverse benchmarking tasks. Peptide recall exceeds 0.8 on the Bacteroides thetaiotaomicron and Zea mays datasets. On human data acquired using the Orbitrap Astral platform, XuanjiNovo achieves achieves 38.8% to 144.3% improvement over existing models. MassNet represents the first large-scale, standardized foundational dataset in proteomics, marking a critical milestone in the integration of artificial intelligence into proteomics research.

bioinformatics↗

bioRxiv2025

Neural correlates of evidence accumulation in social-affective decision-making under perceptual ambiguity

Evidence accumulation models have been widely used to explain decision-making in sensory and cognitive domains, but how this process explains social-affective decision-making under perceptual ambiguity remains unclear. Here, we integrate computational modeling with multimodal neuroscience to investigate how perceptual ambiguity in emotion judgment influences decision dynamics. Participants viewed ambiguous stimuli--morphed images blending emotional expressions--and made binary categorizations. Using drift diffusion modeling (DDM), we show that drift rate, a core index of evidence accumulation, decreases as ambiguity increases. Scalp EEG data reveal that the late positive potential (LPP) tracks drift rate in both emotional and non-emotional decisions, but only when perceptual ambiguity is relevant to the task. Likewise, single-unite recordings from the dorsomedial prefrontal cortex (dmPFC) and amygdala neurons show that trial-by-trial firing rates in both regions encode drift rate, with opposite encoding patterns. fMRI-based connectivity analyses further reveal that the strength of amygdala-dmPFC coupling correlates with individual differences in the modulator effect of perceptual ambiguity on drift rate. Together, these findings identify a corticolimbic network that dynamically modulates evidence accumulation during social-affective decision-making under perceptual ambiguity. By linking computational parameters to neural activity across multiple modalities, this work advances our understanding of how the brain resolves emotionally ambiguous perceptual information. It provides a translational framework for studying emotion recognition and decision-making impairments in clinical populations.

neuroscience↗

bioRxiv2025

Correction for spurious taxonomic assignments of k-mer classifiers in low microbial biomass samples using shuffled sequences

BackgroundWith the increased use of shotgun metagenome and metatranscriptome sequences in characterizing the microbiome, accurate taxonomic classification of sequencing reads is essential for interpreting microbial community composition and revealing differential microbial signature between groups. K-mer based classifiers such as Kraken2 provide high speed and sensitivity, and are commonly used for low microbial biomass samples. However, their performance can be compromised by specific sources of error without proper parameter settings and incorporation of controls. MethodsIn this study, we analyzed six sequencing datasets of human tumor biopsies with Kraken2 and investigated how shared compact hash codes (i.e., identical hash codes across different k-mers), hash collision and the structure of reference databases can contribute to false positive taxonomic assignments in low biomass samples. ResultsWe demonstrated that in samples with high non-microbial DNA noise, the classified taxa of Kraken2 in sequencing reads are significantly correlated with that of shuffled sequences using the default setting. These taxa showed a similar distribution as those overrepresented in the hash table construction of the reference database. Incorporation of controls using shuffled reads can separate significant taxa with more robust differences from those more affected by background noise. Although the confidence thresholds needed to minimize noise varied with taxa, a minimum value of 0.2 can also help reduce misclassifications. ConclusionOur findings highlighted the need for caution when interpreting low-abundance or unexpected taxa in sequencing datasets of low microbial biomass samples. This work contributes to a more comprehensive understanding of the limitations of k-mer based classification tools and provides practical guidance for improving accuracy in microbiome research.

bioinformatics↗

bioRxiv2025

MF-ProtDisMap: protein real-valued distance prediction with fusion of sequence and coevolutionary features

The precise estimation of protein inter-residue distances is essential for high-accuracy protein structure modeling. Currently, the prediction methods are predominantly based on MSA-derived coevolutionary features or language model-based sequence features. To effectively leverage the strengths of both methods, this study developed MF-ProtDisMap (Multi-Feature Protein Distance Map), an integrative framework that effectively combines both feature types to achieve superior real-valued distance prediction. Briefly, MSA Transformer is employed to extract the coevolutionary features from protein multiple sequence alignments, whereas ESM2 is used to capture long-range interactions and sequence-level features. To reduce the computational cost while maximumly represent fused feature information, we implement group pooling for feature dimensionality reduction and introduce Diff-former--a novel module combining a diffusion model with a triangular attention mechanism to enhance representation learning. MF-ProtDisMap achieved a MAE of 2.20 [A] and an RMSE of 3.40 [A] in the protein real-valued distance prediction task. The predicted distances can be converted into contact results, achieving ROC and PR values of 84.56% and 81.01%, respectively. These results demonstrate that MF-ProtDisMap outperforms state-of-the-art real-valued protein distance methods.

bioinformatics↗

bioRxiv2025

DCPS modulates TDP-43 mediated neurodegeneration through P-body regulation

The proteinopathy of the RNA-binding protein TDP-43, characterized by nuclear clearance and cytoplasmic inclusion, is a hallmark of multiple neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), and Alzheimers disease (AD). Through CRISPR interference (CRISPRi) screening in human neurons, we identified the decapping enzyme scavenger (DCPS) as a novel genetic modifier of TDP-43 loss-of-function (LOF)-mediated neurotoxicity. Our findings reveal that TDP-43 LOF leads to aberrant mRNA degradation, via disrupting the properties and function of processing bodies (P-bodies). TDP-43 interacts with P-body component proteins, potentially influencing their dynamic equilibrium and assembly into ribonucleoprotein (RNP) granules. Reducing DCPS restores P-body integrity and RNA turnover, ultimately improving neuronal survival. Overall, this study highlights a novel role of TDP-43 in RNA processing through P-body regulation and identifies DCPS as a potential therapeutic target for TDP-43 proteinopathy-related neurodegenerative diseases.

neuroscience↗

bioRxiv2025

Functional rescue of a fatal ERAD mutation via alternative splicing

Endoplasmic reticulum (ER)-associated degradation (ERAD) is essential for cellular proteostasis, with the SEL1L-HRD1 protein complex targeting misfolded proteins in the ER for proteasomal degradation. Disruption of this pathway underlies a recently identified infant-onset neurodevelopmental disorder (ENDI syndrome), characterized by profound developmental delay, microcephaly, and immune deficiency. Its most severe form, ENDI with agammaglobulinemia (ENDI-A), is driven by a bi-allelic SEL1L Cys141Tyr (C141Y) mutation within the fibronectin II (FNII) domain, for which no treatment currently exists. Here, we serendipitously uncover a striking mechanism of intrinsic rescue in knock-in mouse models of the C141Y mutation: enhanced usage of an alternative splice donor site within exon 4 bypasses the mutant FNII-encoding region, restoring ERAD activity and rescuing key disease phenotypes including perinatal lethality, growth retardation, B cell deficiency, and neurodevelopmental defects. Building on this discovery, we demonstrate that antisense oligonucleotide (ASO)-mediated exon skipping in patient-derived fibroblasts generates a truncated yet functional SEL1L protein, fully rescuing ERAD function and ER proteostasis. These results establish RNA splicing modulation as a viable therapeutic strategy for ERAD deficiency and extend the clinical potential of exon-skipping therapy to diseases of protein misfolding. ONE-SENTENCE SUMMARYThis study reports the discovery of using antisense oligonucleotides (ASOs) to rescue the biallelic SEL1L C141Y variant, offering a potential therapeutic strategy.

cell biology↗

bioRxiv2025

Synergistic Control of Mitochondrial Dynamics and Function by ERAD and Autophagy in Brown Adipocytes

Mitochondrial quality control is essential for maintaining cellular energy homeostasis, particularly in brown adipocytes where dynamic mitochondrial remodeling supports thermogenesis. Although the SEL1L-HRD1 endoplasmic reticulum (ER)-associated degradation (ERAD) pathway and autophagy are two major proteostatic systems, how these pathways intersect to regulate mitochondrial integrity in metabolically active tissues remains poorly understood. Here, using adipocyte-specific genetic mouse models combined with high-resolution 2D and 3D ultrastructural imaging technologies, we reveal an unexpected synergy between SEL1L-HRD1 ERAD and autophagy in maintaining mitochondrial structure and function in brown adipocytes. Loss of ERAD alone triggers compensatory autophagy, whereas combined deletion of both pathways (double knockout, DKO) results in severe mitochondrial abnormalities, including the accumulation of hyperfused megamitochondria penetrated by ER tubules, even under basal room temperature conditions. These phenotypes are absent in mice lacking either pathway individually or in SEL1L-IRE1 DKO, highlighting the pathway-specific coordination between ERAD and autophagy. Mechanistically, dual loss of ERAD and autophagy induces ER expansion, excessive ER-mitochondria contact, upregulation of mitochondria-associated membrane (MAM) tethering proteins, impaired calcium transfer, and defective mitochondrial turnover. As a result, DKO adipocytes accumulate dysfunctional mitochondria, exhibit respiratory deficits, and fail to sustain thermogenesis. Collectively, our study uncovers a cooperative and previously unrecognized mechanism of mitochondrial surveillance, emphasizing the critical role of ERAD-autophagy crosstalk in preserving mitochondrial integrity and thermogenic capacity in brown fat. One-sentence summaryOur study uncovers a previously unrecognized synergy between SEL1L-HRD1 ERAD and autophagy that is essential for preserving mitochondrial integrity and thermogenic capacity in brown adipocytes, revealing new opportunities for targeting mitochondrial dysfunction in metabolic disease.

cell biology↗