Biology subjects

Sun, G.

Publications and source records attributed to Sun, G..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

tRNA Modification Landscapes in Streptococci: Shared Losses and Clade-Specific Adaptations

tRNA modifications are central to bacterial translational control. Here, we integrated genetics, mass spectrometry, epitranscriptomics, and comparative genomics to map the tRNA modification genes of the Gram-positive pathogens Streptococcus mutans and Streptococcus pneumoniae. Both species show a marked loss of modifications dependent on Fe-S enzymes, consistent with a broader trend of Fe-S enzyme reduction in Streptococcus central metabolism. In addition, the D, m1A, m7G, t6A, and i6A modifications were mapped in S. pneumoniae tRNAs, and we confirmed that a unique DusB1 enzyme is responsible for the insertion of all the detectable D modifications. We uncovered differences in queuosine (Q) metabolism: while S. mutans synthesizes Q de novo, S. pneumoniae instead salvages preQ and accumulates the epoxy-Q precursor, a strategy shared with multiple other Streptococci as revealed by analysis of Q pathways in 1,599 sequenced streptococcal genomes. Comparative essentiality profiling of modification genes revealed notable differences, including the essentiality of the NLJ-threonylcarbamoyladenosine (tLJA) synthesis enzyme TsaE in S. pneumoniae but not in S. mutans, which was confirmed by genetic studies. We found that suppressor mutations in asnS encoding asparaginyl-tRNA synthetase (AsnRS) restored viability to {Delta}tsaE mutants, albeit with reduced growth. Our finding highlights the functional importance of modifications in the recognition of tRNAs by aminoacyl-tRNA synthetases.

microbiology↗

bioRxiv2025

IGP receptors act as redox sensors to mediate broad-spectrum disease resistance induced by cellooligomers

Cys-oxidation is a well-established post-translational regulator of intracellular protein function, yet its role in extracellular receptor-mediated signaling remains poorly understood. Here, we investigate the LRR-Malectin receptor-like kinase IGP1, a key receptor for plant cell wall damage-associated molecular patterns (DAMPs). We demonstrate that IGP1 directly recognizes cellooligomers with a degree of polymerization [≥] 3 via a conserved binding groove in its LRR domain, not the malectin domain as anticipated. Strikingly, a pair of cysteines within the malectin domain functions as a redox sensor, undergoing hydrogen peroxide-induced oxidation that sterically reduces ligand binding affinity and attenuates immune signaling. Phylogenetic analyses reveal that IGP originated after the terrestrialization of plants, and is an evolutionarily conserved redox sensor in land plants. Functional studies in Arabidopsis (Arabidopsis thaliana), wheat (Triticum aestivum), and soybean (Glycine max) confirm that the IGP-cellooligomer module confers broad-spectrum disease resistance. Our work uncovers a unique mechanism where ligand perception and redox sensing are integrated into a single receptor to regulate DAMP-triggered immunity.

plant biology↗

bioRxiv2025

Pocket-based molecule generation with an SE(3)-equivariant language model leads to a potent and selective HPK1 inhibitor with in vivo efficacy

Deep learning shows promise in structure-based drug discovery, yet challenges persist in generating pharmacologically plausible molecules with valid 3D conformation and decent binding mode in the pocket. We introduce SE3-BiLingoMol, an SE(3)-equivariant Transformer for pocket-based 3D molecule generation, addressing two key limitations of existing language-model approaches. First, it uses Geometric Algebra Transformers for SE(3)-equivariant handling of continuous 3D coordinates. Second, a bidirectional attention mechanism mitigates conformational errors accumulated during autoregressive sampling. These innovations enable SE3-BiLingoMol to generate 2D drug-like, 3D geometrically valid molecules with superior binding modes. Validated on DUD-E dataset containing over 100 targets, the model achieved state-of-the-art performance in de novo design and optimization. We applied SE3-BiLingoMol to design potent and selective inhibitors for HPK1, a promising immunotherapy target. Through an iterative human-AI workflow, integrating AI generation with experimental validations (X-ray crystallography, bioassays), we identified Cmpd. 6. This novel tetracyclic compound demonstrates potent HPK1 inhibition, excellent cellular activity, favorable pharmacokinetics, and robust anti-tumor in vivo efficacy as monotherapy and with PD-1 blockade. Our work establishes a sophisticated generative AI framework for 3D molecule design and demonstrates its application in developing cancer immunotherapy. Highlights[bullet] SE(3)-Equivariant Language Model for Molecule Generation: We introduce a dual-channel SE(3)-equivariant language model that supports de novo molecule design and optimization, addressing key challenges in prior language model-based 3D molecule generation approaches. [bullet]Discovery of Potent HPK1 Inhibitors: Application of this model led to the discovery of highly selective HPK1 inhibitors with robust in vivo efficacy, resulting in a promising lead compound. [bullet]AI-Guided Rational Drug Development Paradigm: This work establishes a paradigm for AI-guided rational drug development, showcasing AI as a "co-pilot" that inspires drug designers with novel ideas in an "evidence-based context".

bioinformatics↗

bioRxiv2025

Growth Factor-Based Manufacturing of Human Pluripotent Stem Cell-Derived Cardiomyocytes Using the Vertical Wheel Bioreactor System

BackgroundMultiple protocols have been reported for the large-scale generation of human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) in bioreactors using small molecules; however, no comparable bioreactor-based methods have been established using growth factors. This is despite evidence that differentiation with optimized concentrations of BMP4, Activin A, and bFGF offers finer control of cardiomyocyte phenotype. Here, we develop scalable hPSC expansion and growth factor-based cardiac differentiation protocols using the vertical wheel bioreactor (VWBR) system. Methods and ResultsThe expansion of undifferentiated hPSCs was first optimized in 100 mL VWBRs by varying parameters, including starting cell seeding density, agitation rate, and media exchange schedule. Proliferation, viability, aggregate diameter, media metabolites, and pluripotency were assessed during hPSC expansion. Next, we evaluated the effects of undifferentiated hPSC culture conditions on subsequent cardiomyocyte differentiation potential. We found that hPSCs expanded in static culture or in VWBRs at different densities and agitation rates all differentiated into hPSC-CM populations of similar cardiac purity; however, cardiomyocyte yields were initially lower when VWBR-expanded hPSCs were used. We compared the differentiation kinetics of hPSCs expanded in VWBRs to conventional 2D culture and found that the former had accelerated mesodermal commitment and significantly greater cKit+/CXCR4+/PDGRF- cell formation during differentiation. Modifying our aggregation and mesoderm induction steps improved cell yields and enabled reliable production of >1x106 cells/mL cardiac troponin T+ (cTnT) hPSC-CMs. Highlighting the versatility of our growth factor-based system, variation in the BMP4:Activin A ratio enabled a second heart field-like differentiation and generation of atrial-like cardiomyocytes in VWBRs. We further show that our expansion and differentiation protocols are reproducible and economical in 500 mL VWBRs, yielding on average 1.11x106 hPSC-CMs/mL at a mean purity of 93% cTnT+. Characterization of VWBR produced hPSC-CM force generation, action potentials, and intercellular calcium transients confirmed the expected phenotype of ventricular-like cells. Lastly, VWBR produced hPSC-CMs robustly engrafted in the infarcted guinea pig myocardium, supporting use as a cell therapy product. ConclusionsThis novel bioreactor-based protocol will enable cardiac cell therapy and tissue engineering applications by providing scalable and consistent production of hPSC-derived cardiac cell products.

cell biology↗

bioRxiv2025

ARP2/3 complex mediates the neuropathology of PTEN-deficient human neural cells downstream of mTORC1 and mTORC2 hyperactivation

Mutations in the phosphatase and tensin homolog (PTEN) gene are linked to severe neurodevelopmental disorders. Loss of PTEN causes hyperactivation of both mechanistic target of rapamycin (mTOR) complexes, mTORC1 and mTORC2. Recent studies have shown that this dual hyperactivation is required for the neuropathology observed in PTEN-deficient human stem cell-derived neural cells. However, the molecular effectors that integrate these synergistic signals remain unknown. Here, we identify the actin-regulating ARP2/3 complex as a critical point of convergence downstream of mTORC1 and mTORC2. We show that concurrent hyperactivation of both complexes drives increased filamentous actin and elevated levels of the ARP2/3 complex subunits in PTEN-deficient human neural precursors and neurons. Pharmacological or genetic inhibition of ARP2/3 is sufficient to rescue multiple disease-relevant phenotypes, including neural precursor hyperproliferation, neuronal hypertrophy, and electrical hyperactivity, without affecting the upstream mTORC1 or mTORC2 hyperactivation. Together, these findings reveal the PTEN-mTOR-ARP2/3 signaling axis as a core mechanism of neuropathology and highlight ARP2/3 inhibition as a potential therapeutic strategy for PTEN-related neurodevelopmental disorders.

neuroscience↗

bioRxiv2025

Identification and characterization of a novel exo-glycosidase activity of NGLY1 on ENGase-digested N-GlcNAc proteins in vitro

N-Glycanase 1 (NGLY1) is known for its activity to completely remove conjugated N-glycans from glycoproteins. Early studies illustrated that NGLY1 defects were associated with a rare disease named NGLY1-related congenital disorder of deglycosylation (NGLY1-CDDG). Although extensive research has been conducted over the past decade on the biological impact of NGLY1s endo-(N-)glycanase activity in cells and on disease, whether NGLY1 also exhibits an exo-(N-)glycanase activity remains open. In this study, an exo-(N-)glycanase activity of NGLY1 on the N-GlcNAc proteins was firstly reported and characterized in vitro. To distinguish for the conventional endo-(N-)glycanase activity and the newly reported exo-(N-)glycanase activity of NGLY1, the active sites of exo-NGLY1 were predicted and compared with those of endo-NGLY1. In addition, the correlation between NGLY1s exo-(N-)glycanase activity in vitro and NGLY1-CDDGs clinical characterization was investigated and discussed. The observation of NGLY1s novel exo-(N-)glycanase activity expanded the functional repertoire of NGLY1 beyond canonical endo-(N-)glycanase-mediated deglycosylation, and may provide a new framework to explain the clinical heterogeneity of NGLY1-CDDG.

biochemistry↗

bioRxiv2025

Realistic coupling enables flexible macroscopic traveling waves in the mouse cortex

Traveling waves are ubiquitous in neuronal systems across different spatial scales. While microscopic and mesoscopic waves are relatively well studied, the emergence of macroscopic traveling waves remains less understood. Here, by modeling the mouse cortex using spatial transcriptomic and connectivity data, we show that realistic cortical connectivity can generate a significantly higher level of macroscopic traveling waves than artificial local and uniform connectivity across multiple oscillation frequency bands, with the strongest advantage appearing in the theta, alpha, and beta frequency bands. By probing the model in different dynamic regimes, we find that macroscopic wave activity depends on both network connectivity and excitatory coupling strength, with a non-monotonic dependence on coupling. Together, our work shows how flexible macroscopic traveling waves can emerge in the mouse cortex and offers a computational framework to further study traveling waves in the mouse brain at the single-cell level.

neuroscience↗

bioRxiv2025

Inducible genome-wide mutagenesis for improvement of pDNA production by E. coli

Plasmid DNA (pDNA) is a cost-driving reagent for the production of gene therapies and DNA vaccines. Improving pDNA production in the most common production host (E. coli) has faced obstacles arising from the complex network of genes responsible for pDNA synthesis, with the specific enzyme(s) limiting pDNA yield remaining unidentified. To address this challenge, we employed an inducible genome-wide mutagenesis strategy, combined with fluorescent screening, to isolate E. coli NEB 5 strains with enhanced pDNA production. Following selection, we successfully isolated an E. coli strain (M3) with elevated plasmid copy numbers (PCNs) across multiple origin types. Specifically, we observed a 5.93-fold increase in PCN for the GFP reporter plasmid, a 1.93-fold increase for the gWiz DNA vaccine plasmid, and an 8.7-fold increase for the pAAV-CAGG-eGFP plasmid, all of which contain pUC origins. In addition, plasmids with p15A and pSC101 origins showed 1.44-fold and 1.68-fold increases in PCN, respectively. Whole-genome sequencing of the adapted strain M3 identified 85 mutations, including one in recG, which encodes an ATP-dependent DNA helicase. Replacement of the mutant recG with its wild-type counterpart in the mutant strain resulted in a 63% reduction in PCN, but the recG mutation alone was insufficient to increase PCN in the wild-type strain. These findings suggest that the recG mutation plays a synergistic role with other genomic mutations to drive PCN increases. Taken together, this study presents the development of a pDNA hyperaccumulating E. coli strain with promising applications in industrial and therapeutic pDNA production, while also offering important insights into key genes involved in pDNA production.

synthetic biology↗

bioRxiv2025

Distinct age- and pathology-dependent epitranscriptome and translational dysfunction in a tauopathy mouse model

Chronic neurodegenerative diseases, such as tauopathies, cause major metabolic changes in the brain affecting gene expression at both the transcriptional and translational levels. Our understanding of how regulation of translation changes with disease has focused on mRNA and its translational regulatory factors, RNA binding proteins, and microRNAs, despite clear evidence for translational and post-translational dysfunction in ADRD and tauopathies. The neurobiology of tRNA has only recently begun to be studied, but the impact of chronic neurodegenerative diseases on tRNA biology and translational dysfunction is largely unknown. We have previously shown that the tRNA pool and tRNA modifications behave as a system to regulate the cellular stress response by undergoing stress-specific reprogramming and causing selective translation of mRNAs from codon-biased stress response genes. Here we tested this stress-induced tRNA reprogramming and codon-biased translation system in the response to mutant tau expression by performing mass spectrometric quantification of [~]8500 proteins and 49 tRNA modifications, AQRNA-seq analysis of 222 cytosolic and mitochondrial tRNAs and other small RNAs, and informatic analysis of codon usage patterns in >23,000 protein-coding genes. Analysis of these datasets revealed that aging and tauopathy elicit major adaptation of the tRNA transcriptome and epitranscriptome as well as corresponding evidence of a program of translation of families of codon-biased genes for aging and disease responsive proteins. The mitochondrial tRNA transcriptome showed a strong response to aging and disease with 21 of the 22 mt-tRNAs showing age and disease-linked increases in expression, accompanied by mitochondria-specific modifications such as ms2i6A and f5C. Surprisingly, there were few significant changes in the 203 cytosolic tRNA isodecoders. However, a 10-fold increase tRNA isodecoder tRNA-Arg-TCT-5-1 was accompanied by increased translation of proteins encoded by genes highly enriched in its AGA cognate codon. These changes in tRNA biology are mirrored by strongly biased use of synonymous codons among the most highly upregulated and downregulated proteins in the P301S MAPT mice. Taken together these findings suggest the aging and disease brain produces an integrated response for translational control that is highly integrated with changes in tRNA biology.

neuroscience↗

bioRxiv2025

Contemporary seasonal human coronaviruses display differences in cellular tropism compared to laboratory-adapted reference strains

Seasonal human coronaviruses (sHCoVs) cause 15-30% of common colds. The reference strains used for research were isolated decades ago and have been passaged extensively but contemporary sHCoVs have been challenging to study as they are notoriously difficult to grow in standard immortalized cell lines. Here we addressed these issues by utilizing primary human nasal epithelial cells (HNECs) and immortalized human bronchial epithelial cells (BCi) differentiated at an air-liquid interface, as well as human embryonic stem cell-derived alveolar type II (AT2) cells to recover contemporary sHCoVs from human nasopharyngeal specimens. From 21 specimens we recovered four 229E, three NL63 and eight OC43 viruses. All contemporary sHCoVs showed sequence differences from lab-adapted CoVs, particularly within the spike gene. Evidence of nucleotide changes in the receptor binding domains within 229E and detection of recombination for both 229E and OC43 isolates was also observed. Importantly, we developed methods for the amplification of high titre stocks of NL63 and 229E, that maintained sequence identity, and we established methods for the titration of contemporary sHCoV isolates. Comparison of lab-adapted and contemporary strains in immortalised cell lines and airway epithelial cells revealed differences in cell tropism, growth kinetics and cytokine production between lab-adapted and contemporary sHCoV strains. These data confirm that contemporary sHCoVs differ from lab-adapted reference strains and, using the methods established here, should be used for study of CoV biology and evaluation of medical countermeasures. ImportanceZoonotic coronaviruses have caused significant public health emergencies. The occurrence of a similar spillover event in the future is likely and efforts to further understand coronavirus biology should be a high priority. Several seasonal coronaviruses circulate within the human population. Efforts to study these viruses have been limited to reference strains isolated decades ago due to the difficulty in isolating clinical isolates. Here, we use human airway and alveolar epithelial cultures to recover contemporary isolates of NL63, 229E and OC43. We establish methods to make high titre stocks and titrate 229E and NL63 isolates. We show that contemporary isolates of NL63 and OC43 have a different tropism within the respiratory epithelium compared to lab-adapted strains. Although 229E clinical and lab-adapted strains similarly infect the respiratory epithelium, differences in host response and replication kinetics are observed. Using the methods developed here, future research should include contemporary isolates when studying coronavirus biology.

microbiology↗

bioRxiv2025

Two telomere-to-telomere, gap-free genome assemblies and comparisons revealed the conserved key genes associated with sugar accumulation in Rubus genus

For the first time, we assembled two highly continuous, completely gap-free reference genomes of the Rubus subgenus: Rubus hirsutus Thunb. Penglei (XMM) and Rubus eustephanos Focke ex Diels Dahongpao (DHP), which are widely distributed in southern China with similar phenotypic traits (Figures 1A, 1B, and Figure S1), yet ripe fruits display distinct sugar accumulation levels (Table S1), making them ideal candidates for investigating the mechanisms underlying sugar accumulation in the Rubus genus. The XMM (213.53 Mb, 28,204 genes) and DHP (218.26 Mb, 28,569 genes) genomes exhibit close evolutionary relationships, diverging approximately 3.21 Mya. Comparative genomics identified extensive synteny, interspecific structural variations (translocations, inversions, segmental duplications), and presence/absence variation (PAV). Using Hi-C interaction heatmaps and Sanger sequencing, we validated interspecific structural inversions. Additionally, we identified a sugar transporter gene (MFS1), which is present in XMM but absent in DHP. Combined analysis of the gene family expansion/contraction and transcriptome identified two conserved key genes (RhSTP13 and RhSTP7) associated with sugar accumulation in Rubus genus and displayed distinct roles through transient expression assay. To facilitate functional genomics study, we also established a comprehensive Rubus database, RubusDB, a freely accessible repository consolidating all genomic, transcriptomic and phenotypic data of Rubus genus. These findings provide a foundational framework for elucidating the genetic basis of sugar accumulation, genome diversification, and trait improvement in Rubus species. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=170 SRC="FIGDIR/small/646780v2_fig1.gif" ALT="Figure 1"> View larger version (72K): org.highwire.dtl.DTLVardef@1baca20org.highwire.dtl.DTLVardef@2c01eaorg.highwire.dtl.DTLVardef@131dc00org.highwire.dtl.DTLVardef@62a04f_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFIGURE 1.C_FLOATNO Phenotypic characterization, de novo genome assemblies, variation, and evolution of Rubus hirsutus Thunb. Penglei (XMM) and Rubus eustephanos Focke ex Diels Dahongpao (DHP). (A) Illustration of XMM whole plants, stem, flower bud and flower, respectively. (B) Illustration of DHP whole plants, stem, flower bud and flower, respectively. (C) The chromosome karyotype analysis of XMM. Bar = 10 {micro}m. (D) Circular diagram of XMM and DHP reference genomes. (a) Chromosomes are represented by centromeres (dark red) and telomeres (blue); (b) CEN18 density; (c) CEN17 density; (d) Gene density; (e) TE density; (f) PAV density; (g) SNP density; (h) Collinear lines at the center of diagram highlight homoeologous chromosomes relationships and non-homoeologous regions. (E) Genomic alignments between XMM and DHP. Inversions, duplications and translocations are marked with orange, blue and green ribbons, respectively. (F) Identification of large inversions in chromosome 7 between XMM and DHP. The three heatmaps show the chromatin interaction matrix, including mapping Hi-C data of DHP against DHP genome (left), mapping Hi-C data of DHP against XMM genome (middle) and mapping Hi-C data of XMM against XMM genome (right). The lower panel illustrates gene alignments between XMM and DHP. (G) Synteny, structural rearrangements, monomer, and identity distribution in the 16-20 Mbp region of chromosome 6 between XMM and DHP. (H) Local genome synteny of chromosome 5, with a structural variation that is present only in XMM. The PAV region includes a gene related to sugar transporter (MFS1, XMM05G025540). (I) Gene-level matchings of MFS genes in the PAVs region between XMM and DHP. (J) Phylogenetic relationships and divergence times between raspberries and other Rosaceae species. The black numbers close to the divergence nodes indicate the divergence times and the red bars represent the 95% confidence intervals. The red and black numbers indicate expanded and contracted ortholog groups at the corresponding node. Scale bar corresponds to 10 Mya. C_FIG

genomics↗

bioRxiv2025

Hippo signalling regulates the nuclear behaviour and DNA dwell times of YAP and TEAD to control transcription

Over the past two decades, genetic and proteomic screens have enabled the discovery and elucidation of the Hippo pathway as a complex signalling network that controls tissue growth and cell fate and which is of major importance for human cancers. Despite these advances, our understanding of how Hippo signalling regulates transcription is less clear. To address this, we used live microscopy approaches to study the nuclear behaviour of the major transcription effectors of the human Hippo pathway, YAP and TEADs. Our experiments revealed that TEADs are a major determinant of YAPs nuclear biophysical behaviour, whilst YAP only has a minor influence on TEAD behaviour. Acute chemical inhibition of Hippo signalling stimulated an increase in the DNA residence time of both YAP and TEAD1. Consistently, YAP and TEAD1 bound DNA for longer periods in cells with high intrinsic YAP/TEAD activity (induced trophoblast stem cells) than in cells with low intrinsic YAP/TEAD activity (induced pluripotent stem cells). TEAD1 bound the genome on a broad range of timescales, and this is extended substantially in nuclear condensates. Finally, single molecule tracking experiments revealed that a fusion protein encoded by a cancer-associated YAP allele exhibits substantially different nuclear biophysical behaviour than either YAP or TEAD1. These live microscopy experiments reveal that Hippo signalling regulates transcription at least in part by influencing the DNA dwell times of both YAP and TEAD.

cell biology↗

bioRxiv2025

Genome modeling and design across all domains of life with Evo 2

All of life encodes information with DNA. While tools for sequencing, synthesis, and editing of genomic code have transformed biological research, intelligently composing new biological systems would also require a deep understanding of the immense complexity encoded by genomes. We introduce Evo 2, a biological foundation model trained on 9.3 trillion DNA base pairs from a highly curated genomic atlas spanning all domains of life. We train Evo 2 with 7B and 40B parameters to have an unprecedented 1 million token context window with single-nucleotide resolution. Evo 2 learns from DNA sequence alone to accurately predict the functional impacts of genetic variation--from noncoding pathogenic mutations to clinically significant BRCA1 variants--without task-specific finetuning. Applying mechanistic interpretability analyses, we reveal that Evo 2 autonomously learns a breadth of biological features, including exon-intron boundaries, transcription factor binding sites, protein structural elements, and prophage genomic regions. Beyond its predictive capabilities, Evo 2 generates mitochondrial, prokaryotic, and eukaryotic sequences at genome scale with greater naturalness and coherence than previous methods. Guiding Evo 2 via inference-time search enables controllable generation of epigenomic structure, for which we demonstrate the first inference-time scaling results in biology. We make Evo 2 fully open, including model parameters, training code, inference code, and the OpenGenome2 dataset, to accelerate the exploration and design of biological complexity.

genomics↗

bioRxiv2025

SMCLMDA: statistical meta-paths contrastive learning for predicting miRNA-disease multidimensional relationships

Accurately identifying miRNA-disease association (MDA) is of great importance in biomedical research and clinical applications. However, most existing computational methods rely on similarity, making it difficult to effectively capture the deep semantic information among heterogeneous nodes in complex networks. In addition, the inherent "black-box" nature of traditional deep learning models leads to a lack of transparency in their decision-making process. Therefore, we propose an interpretable MDA prediction method (iDRKAN) based on dual-graph representation learning and Kolmogorov-Arnold Network. First, iDRKAN constructs similarity views and meta-path views based on the similarity matrix and association matrix respectively, and learns higher-order feature representation of each view by graph convolutional network (GCN). Subsequently, the multi-channel attention (MCA) mechanism is introduced to adaptively fuse the contextual information of each similarity view in different convolutional layers, and the semantic layer attention (SLA) mechanism is used to integrate the semantic information contained in different meta-path views. Next, the contrastive learning strategy is used to optimize the consistency between the dual-graph representation. Finally, the dual-graph features are weighted fused, and fed into the interpretable Kolmogorov-Arnold Network (KAN) for prediction. Experimental results on two public datasets show that iDRKAN significantly outperforms existing computational approaches in multiple performance indicators. In addition, experiments with different classifiers verify that iDRKAN achieves a good balance between prediction performance and interpretability. The case study further demonstrates the effectiveness of iDRKAN in mining potential associations.

bioinformatics↗

bioRxiv2024

Multi-omics analysis of long-term cultured human islets

Beta-cell dysfunction in pancreatic islets, characterized as either the loss of beta-cell mass or the resistance of beta-cell to glucose, is the leading cause of progression to diabetes. Islet transplantation became a promising approach to replenish functional beta-cell mass. However, not much known about changes in islets used for transplantation after isolation. We have subjected human islets into long-term in vitro culture (LTC) and characterized those survived islets. While most of the dysregulated genes were downregulated during LTC, specific groups of mRNA or miRNA were upregulated, and they are involved in specific pathways. In general, alpha-cells and beta-cells of LTC-islets have elevated expressions of MAFB and MAFA genes, respectively. We also found that exocrine cells were eliminated faster than endocrine cells, and beta-cells were lost at a higher rate than alpha-cells. Interestingly, one specific group of cells that have characteristics of immature alpha-cells or beta-cells, were enriched in LTC-islets, revealing the possibility of transdifferentiation of alpha-cells to beta-cells, or dedifferentiation of beta-cells to alpha-cells, under in vitro culture. Our results suggest that there are intrinsic cellular and molecular mechanisms in pancreatic cells that are associated with their maturity and correlated with their survival ability under unfavorable living conditions.

molecular biology↗

bioRxiv2024

In vivo genome editing of human hematopoietic stem cells for treatment of blood disorders by mRNA delivery

Ex vivo autologous hematopoietic stem cells (HSCs) gene therapy provides promising new treatments for hematological disorders. However, current methods involve complex processes and chemotherapeutic conditioning, leading to limited accessibility for treatment and significant side effects. Here, we developed an antibody-free targeted lipid nanoparticles (LNPs) for mRNA delivery to HSCs in vivo, enabling efficient base editing of the HBG target in human HSCs to reactivate fetal hemoglobin in derived erythroid cells. Delivery of ABE8e/sgRNA mRNA with optimized structure LNPs achieves efficient in vivo base editing of HBG in transfusion-dependent {beta}-thalassemia (TDT) patients derived HSCs engrafted in immunodeficient NCG-X mice, showing restored globin chain balance in erythroid cells. Our research indicated that utilizing LNPs for delivery of genome editor achieves efficient editing of endogenous genes of human HSCs. Notably, this non-viral delivery system eliminates the need for harvesting or mobilizing HSCs, providing a potent and one-time treatment potential for blood disorders like sickle cell disease (SCD) and TDT. HighlightsO_LIAntibody-free targeted LNPs system achieves efficient mRNA delivery and base editing in human bone marrow cells including HSCs via one-time intravenous injection. C_LIO_LIDelivery of ABE8e/sgRNA mRNA with optimized LNPs achieves efficient in vivo base editing of HBG in TDT patients derived HSCs engrafted in immunodeficient NCG-X mice, showing restored globin chain balance in erythroid cells. C_LIO_LILNPs efficiently deliver gene editing system to the BM for in vivo editing of human HSCs, providing preclinical evidence for the next generation non-viral gene therapy for blood disorders. C_LI

bioengineering↗

bioRxiv2024

Survival of hepatocytes from executioner caspase activation promotes liver regeneration by enhancing JAK/STAT3 activity

Activation of executioner caspases, which is a key step in the apoptotic process, has been reported to promote tissue regeneration by sending pro-proliferation signals to the surrounding cells. However, whether executioner caspase activation (ECA) has cell-autonomous effect on tissue regeneration is not clear. Here, by generating transgenic mice carrying a lineage tracing system for cells that have experienced ECA, we demonstrate that transient ECA occurs in hepatocytes during liver regeneration after partial hepatectomy (PHx) or carbon tetrachloride (CCl4) treatment. Instead of committing apoptotic cell death, the majority of hepatocytes with ECA survive and proliferate to contribute to liver regeneration. Interestingly, inhibition of ECA in livers results in reduced hepatocyte proliferation and impaired regeneration, whereas increasing ECA to a level sufficient to kill hepatocytes also impedes regeneration, suggesting that ECA needs to be precisely controlled during liver regeneration. Mechanistic studies show that ECA promotes hepatocyte proliferation during regeneration through enhancing JAK/STAT3 activity. Our work reveals an essential role of survival of hepatocytes from ECA in liver regeneration.

developmental biology↗

bioRxiv2024

Non-Invasive Quality Control of Organoid Cultures Using Mesofluidic CSTR Bioreactors and High-Content Imaging

Human brain organoids produce anatomically relevant cellular structures and recapitulate key aspects of in vivo brain function, which holds great potential to model neurological diseases and screen therapeutics. However, the long growth time of 3D systems complicates the culturing of brain organoids and results in heterogeneity across samples hampering their applications. We developed an integrated platform to enable robust and long-term culturing of 3D brain organoids. We designed a mesofluidic bioreactor device based on a reaction-diffusion scaling theory, which achieves robust media exchange for sufficient nutrient delivery in long-term culture. We integrated this device with longitudinal tracking and machine learning-based classification tools to enable non-invasive quality control of live organoids. This integrated platform allows for sample pre-selection for downstream molecular analysis. Transcriptome analyses of organoids revealed that our mesofluidic bioreactor promoted organoid development while reducing cell death. Our platform thus offers a generalizable tool to establish reproducible culture standards for 3D cellular systems for a variety of applications beyond brain organoids.

bioengineering↗