Biology subjects

Du, Y.

Publications and source records attributed to Du, Y..

At least 19 recordsLinked to original sources

bioRxiv2026

Overlapping yet distinct spatiomolecular profiles across mood disorders and biological sex in the human prefrontal cortex

Major depressive disorder (MDD) and bipolar disorder (BD) exhibit both overlapping and distinct clinical features, including sex differences in prevalence and symptomatology, but how these similarities and differences are reflected at the molecular and cellular level in the human brain remains poorly understood. Here, we applied spatial transcriptomics to the human dorsolateral prefrontal cortex from individuals with MDD, BD, and neurotypical controls to resolve molecular programs associated with diagnosis and biological sex. Our analysis revealed sex- and diagnosis-specific differences across white matter, the neurovascular unit (NVU), and neuronal compartments. Within white matter, we identified female-specific survival-response programs shared in both MDD and BD, and divergent myelin-related gene expression patterns across disorders (CLDN11, CNDP1). Within the NVU, transcriptional evidence of impaired vascular integrity was accompanied by astrocytic response profiles in females with MDD and males with BD, with inflammatory responses further evident in females with MDD (IFITM3, CEBPD, IL1R1). In donors with BD of both sexes and in females with MDD, inhibitory neurons exhibited impaired neuropeptide expression (SST, CORT, CRH). Integration with donor genotype information highlighted that genetic risk for mood disorders influences MAPK3 expression, implicating altered ERK signaling, which was further supported by disorder-associated changes in Ras/MEK/ERK pathway components in neurons (MAPK3, DUSP6, RASD1, ELK1). Together, these findings reveal coordinated, cell type- and spatial domain-specific molecular programs that distinguish shared and disorder-specific transcriptomic changes across mood disorders in a sex-dependent manner.

neuroscience↗

bioRxiv2026

Transcription factor interactions promote binding to non-cognate DNA sites

Recruitment of transcription factors (TFs) to non-cognate DNA sequences is widely observed, but the underlying mechanisms remain poorly understood. Here, we show that, within the nucleosome, Sox2 can bind an Oct4 motif, interact with the Oct4 POU-specific domain, and displace the Oct4 homeodomain. We also observe Sox2 binding at multiple near-canonical and non-canonical DNA sites, with these interactions promoted by a second Sox2 molecule or by nearby nucleosome-bound Oct4. The TF-TF interactions can bridge across DNA gyres, bringing together binding sites that are distant in linear DNA but spatially proximal on the nucleosome. We further find that Sox2 can engage across nucleosomal DNA gyres through loop regions and/or intrinsically disordered segments, providing an additional mode of chromatin binding. Together, our structural and biochemical data reveal how TF-TF interactions change DNA recognition on the nucleosome, enabling binding to non-cognate sequences and expanding the repertoire of pioneer factor interactions on chromatin.

biophysics↗

bioRxiv2026

A transient third metal ion shapes the catalytic cycle of a group I intron ribozyme

The self-splicing group I intron ribozyme from Tetrahymena thermophillia (THr) is a prototypical example of how RNA overcomes its limited chemical repertoire to form complex, negatively charged junctions and catalyze chemical reactions. Despite over 30 years of biochemical and structural characterization, questions still remain regarding the requirements for THr catalysis that may inform structure based drug design against group I introns, as well as the use of THr as an RNA editing tool. Recent cryo-EM structures have provided an unprecedented window into the first and second steps of splicing, enabling detailed mechanistic investigation at the atomistic level. In this work, we leverage solvation theory, molecular dynamics, alchemical free energy simulations, and machine learning accelerated QM/MM to probe outstanding questions related to 1) the role of a possible third Mg2+ binding in the active site, 2) differences in catalytic requirements between Gexo cofactors and between the first and second steps of splicing, 3) the potential role of an acid or base, and 4) restrictions on the identity of the 5' exon splice site nucleotide, U(-1). We propose that a transient, cofactor dependent, interaction with a third metal participates in the first step, while a higher affinity interaction with this third ion is required in the second step. We also propose that the presence of a phosphate on the Gexo in the first step, and analogously the G{omega} in the second step, forms a metal ion binding site not present when guanosine is bound. Finally, we propose and computationally test design modifications of G22 (isofunctional substitutions of 2,6-diaminopurine that tune the pKa at the N1 position) that we predict will enable the accommodation of C(-1) in a crucial wobble-like pair at physiological pH. This design would provide a potential strategy for expanding the sequence space accessible to programmable trans-splicing ribozymes in RNA editing applications.

biophysics↗

bioRxiv2026

Platform-specific count-matrix preprocessing workflows for spatial transcriptomics data analysis

Preprocessing of spatial transcriptomics (ST) count matrices is critical for removing technical variation while preserving biological signals, but optimal strategies remain unclear across diverse platforms. We systematically benchmarked 371 preprocessing workflows across 45 data spanning 11 mainstream ST platforms, evaluating their performance using specifically designed complementary metrics. To further assess preprocessing factors upstream of count-matrix generation, we additionally evaluated image preprocessing, including cell segmentation and post-segmentation transcript processing, across representative imaging-based ST platforms. We found that no universal count-matrix preprocessing workflow performed optimally across all platforms, while data from the same platforms exhibited striking consistency in optimal count-matrix preprocessing workflows. We identified the key data structure characteristics and count-matrix preprocessing steps that critically influence preprocessing performance. We developed platform-specific and data structure-guided recommendations to assist users in selecting the optimal count-matrix preprocessing workflow, validated across a broader range of downstream tasks. We demonstrated that our data-driven recommendations uncover subtle biologically meaningful spatial patterns in new data that were obscured by suboptimal count-matrix preprocessing. Our findings suggest best practices for ST data count-matrix preprocessing.

bioinformatics↗

bioRxiv2026

Three dimensional reconstruction of the human nucleus accumbens reveals topographic organization and molecular heterogeneity of D1-islands across the anterior posterior axis

Spatial transcriptomics has transformed molecular characterization of the human brain, but most studies profile individual two-dimensional tissue sections and therefore cannot capture molecular organization across 3D neuroanatomical axes. Here, we developed a spatial genomics framework to reconstruct the 3D cellular architecture of the human nucleus accumbens (NAc) by densely sampling and aligning serial sections across its anterior-posterior (AP) extent. Combining single-cell Xenium profiling with near-transcriptome-wide VisiumHD, we mapped cell type composition and topography across AP, mediolateral and dorsoventral axes. Neuronal populations varied in relative abundance across the AP axis while maintaining characteristic spatial topographies. These differences were particularly pronounced among D1-islands, a topographically organized structure within the NAc in which transcriptionally distinct subpopulations of DRD1-expressing medium spiny neurons (MSNs) aggregate into discrete cellular formations. D1-islands comprised two molecularly distinct spatial domains with conserved counterparts across species. Both domains varied in relative abundance across the AP axis, but demonstrated distinct 3D distribution; one was present throughout the NAc, whereas the other, corresponding to islands of Calleja (ICj), was more restricted to intermediate-to-posterior levels. Local spatial analyses revealed region- and AP-dependent cellular relationships, including segregation of the two island populations despite their anatomical proximity. Together, these findings establish a framework for three dimensional spatial genomics of human brain tissue and reveal molecular and cellular organization not captured by individual tissue sections.

neuroscience↗

bioRxiv2026

A Taxonomy-Informed Sparse DNA Foundation Model for Microbial Genomics

Microorganisms are indispensable to terrestrial ecosystems, with their genomic material underpinning critical functions and applications across agriculture, biotechnology, and human health. Although genomic language models have advanced representation learning in DNA sequences, the extensive diversity of microorganisms and imbalanced taxonomic representation in the pretraining corpora pose challenges for effective microbial genomic sequence modeling. Here we present MicroGlot, a taxonomy-informed microbial DNA foundation model pretrained on 3.70 million sequences comprising 378.3 billion nucleotides across 99{,}700 species. MicroGlot encodes the hierarchical relations among taxa through hyperbolic embeddings, incorporating microbial taxonomic knowledge into a sparse mixture-of-experts architecture. Zero-shot evaluation of MicroGlot's layer embeddings demonstrates that the model's representations encode phenotypic traits and taxonomic identity. Comparison with a taxonomy-ablated variant trained under the same pretraining scheme shows that incorporating taxonomic knowledge consistently improves representation quality across the layers of MicroGlot. MicroGlot also combines optimized training techniques with efficient architectural components from modern large language models, achieving leading zero-shot performance across layers and competitive fine-tuning performance with low computational overhead. In a 1000-species set sampled from major cellular domains and viral realms, MicroGlot's routing fingerprints show greater agreement with taxonomic groups than tetranucleotide composition, reflecting taxonomically structured expert routing in multilingual modeling of microbial genomes. Overall, we show that MicroGlot serves as an efficient and effective DNA foundation model for microbial genomic analysis.

bioinformatics↗

bioRxiv2026

DiffDomain-Spectrum identifies structurally reorganized TADs from sparse aggregated single-cell Hi-C contact maps

Structurally reorganized topologically associating domains (TADs) capture condition- or cell-type-specific remodeling of chromatin contacts and are important for understanding genome organization in health and disease. Emerging single-cell Hi-C (scHi-C) technologies enable such comparisons across heterogeneous cell populations, but aggregated scHi-C contact maps remain sparse at biologically meaningful 25 kb resolution, limiting reliable TAD reorganization detection. Here we present DiffDomain-Spectrum, a spectral statistical framework for identifying reorganized TADs between conditions or cell types from aggregated raw scHi-C contact maps. It tests normalized TAD-level difference matrices without separately normalizing sparse maps or enhancing individual scHi-C contact maps. Comparison with a semicircle-law null integrates evidence across the full eigenvalue spectrum. Across multiple scHi-C platforms, DiffDomain-Spectrum balances false positive control and detection sensitivity relative to alternative bulk callers, and detects a substantially higher proportion of reference TADs as reorganized than the boundary-focused single-cell method scHiCluster. Detected TADs show coherent aggregate contact patterns and CTCF binding changes and are enriched for differentially expressed genes, supporting biological relevance. Together, these results establish DiffDomain-Spectrum as a statistically principled framework for comparative domain-level analysis of sparse aggregated scHi-C contact maps without single-cell map enhancement.

genetics↗

bioRxiv2026

Smallpox Vaccine Elicits CD8+ T Cell Immunity Persisting Over Four Decades with Cross-Recognition of Monkeypox Virus

Monkeypox, caused by MPXV, has become a global public health concern; however, the T-cell immunity against MPXV following smallpox vaccination remains unclear. In this study, we screened the immunogenicity of 21 predicted MPXV epitopes and compared immune responses between young and elderly groups. Two immunogenic CD8 T-cell epitopes, M15 and M17, were identified, both of which effectively stimulated specific immune responses, with significantly stronger responses observed in the young group. Notably, this study provides the first evidence that smallpox vaccination induces CD8 T-cell immunity that cross-recognizes the MPXV epitopes M15 and M17 and remains detectable for more than four decades after vaccination, as demonstrated in vaccinated individuals aged 53-75. These findings provide experimental evidence for understanding the cross-protective mechanisms of the smallpox vaccine and informing monkeypox vaccine development.

immunology↗

bioRxiv2026

Cultural echoes in social bonding: Universal and culture-specific effects of movement synchrony and music on connectedness, likeability, and well-being

Social bonds are essential for well-being, and moving together to music is a universal means of promoting prosocial behavior and positive affect. However, the functions and interpretations of movement synchrony and music can vary across cultures and may depend on personal values. We examined how interpersonal synchrony and music affect social bonding in participants from individualistic (Denmark, N = 137) and collectivistic (China, N = 226) cultures. Participants watched videos of virtual stick figures - representing themselves (virtual-self) and an unknown person (virtual-other) - moving either synchronously or asynchronously to music or a metronome. After each video, participants rated three indicators of social bonding: their momentary feeling of social connectedness with the virtual-other (Inclusion of Other in the Self, IOS), likeability of the virtual-other, and well-being as the virtual-self. Personal values were measured using the Portrait Value Questionnaire. Music and synchrony promoted all three indicators of social bonding in both cultures, whereas cultural differences emerged in asynchronous conditions. Chinese participants rated the asynchronous virtual-other more likeable than Danish participants, aligning with the collectivistic emphasis on social harmony. Moreover, Chinese participants rated their own well-being higher than Danish participants when the virtual-self moved asynchronously, suggesting greater self-forgiveness in maintaining group harmony. The personal values of benevolence, conformity, and universalism interacted with movement synchrony and cultural background, underscoring the important role of values in interpretations of social interactions. Our findings highlight the universal prosocial effects of music and movement synchrony, while also emphasizing cultural nuances in how these effects are experienced.

neuroscience↗

bioRxiv2026

Universality Meets Cultural Nuances: Affective Responses to Rhythmic and Harmonic Complexity Across Cultures

The pleasurable urge to move to music - known as groove - has been linked to rhythmic and harmonic complexity via an inverted-U relationship, consistent with predictive coding theory of music. This link has been demonstrated mainly in Western listeners, leaving its cultural generality unclear. Given reports of heightened pitch and harmony sensitivity in Chinese listeners, we predicted stronger responses to harmonic complexity and weaker responses to rhythmic complexity compared with Western listeners. We conducted two online experiments measuring "pleasure" and "wanting to move" ratings for musical excerpts varying in rhythmic and harmonic complexity, comparing Chinese and Danish participants as representatives of Eastern and Western traditions. In Experiment 1, which manipulated both dimensions, both groups showed inverted-U responses to rhythmic complexity, but Danish participants exhibited a sharper curve, indicating greater affective differentiation. No inverted-U pattern emerged for harmonic complexity, and Chinese participants did not show enhanced harmonic sensitivity. Experiment 2 focused on rhythmic complexity using ecologically valid stimuli with finer gradations. Again, Danes showed greater sensitivity to rhythmic variation, reflected in a sharper curvature of their inverted U responses, though peak responses did not differ between groups. Our findings support the universality of predictive responses to rhythmic complexity, while highlighting the modulatory role of cultural exposure in shaping musical affective experiences.

neuroscience↗

bioRxiv2026

Unifying physical and molecular coordinate systems across modalities in spatial biology

Establishing a unified physical and molecular coordinate system from fragmented multi-modal data is a longstanding challenge in biology. Here, we present MAPS, a modality-agnostic platform for spatial biology comprising (1) MAPS-alignment for ultrafast alignment of any modality, (2) MAPS-integration for both anchored and unanchored integration across orthogonal modalities for 3D multi-modal reconstruction, and (3) MAPS-Explorer for large-scale interactive 3D analysis. MAPS outperformed existing methods across extensive benchmarks on 34 datasets spanning 16 technology platforms and 6 modalities, while delineating fine-grained multi-modal tissue architectures across diverse biological systems in mouse and human. At cross-consortium scale, MAPS integrated 434 slices comprising 21 million cells from 18 atlases and 5 modalities to construct the most comprehensive 3D multi-modal mouse brain atlas. At individual laboratory scale, MAPS empowered routine 2D spatial assays to reconstruct continuous 3D multi-modal landscapes of human hepatocellular carcinoma, revealing the limitations of 2D spatial relationships and uncovering depth-dependent immune-state transitions.

bioinformatics↗

bioRxiv2026

Decoding the Transcriptome Dark Matter: Construction of Single-Cell Whole-Transcriptome Regulatory Atlas by dropTotal

To profile unknown ncRNAs-"dark matter" in single cells, we developed dropTotal, a high-throughput droplet-based total RNA-seq method that uses dU-modified GAT primer with temperature-ramp hybridization and droplet merge barcoding to co-detect coding and non-coding transcripts with record sensitivity (>13,500 genes/cell, including >2,000 lncRNAs and >500 sncRNAs), compatible with fresh, frozen, fixed, and FFPE tissues. Applied to ~75,000 human glioma nuclei, it captured 60,313 genes (18,681 lncRNA, 19,859 mRNAs and 6,753 sncRNAs), enabling ncRNA-driven regulatory landscape construction. In oligodendroglioma, module analysis identified recurrence-associated ncRNA-centered modules linked to therapy resistance and invasion; in glioblastoma, six cellular states showed hundreds of state-specific unannotated ncRNAs with divergent functions, from MIR222HG-mediated immune modulation to SCIRT-driven hypoxia adaptation. Alternative splicing analysis identified 428 state-specific junction markers and mapped cell-state-specific alternative splicing regulation. dropTotal offers broad application for decoding the underlying ncRNA biology and single-cell whole transcriptome regulatory mechanisms in cellular identity and disease progression.

genomics↗

bioRxiv2026

An orally administered peptide hydrogel disentangles immune-microbiota crosstalk for long-term ulcerative colitis therapy

Ulcerative colitis (UC) is a global health challenge driven by immune dysregulation and gut microbiota imbalance.1 Current treatments, limited by insufficient efficacy and systemic toxicity during prolonged use, fail to resolve the intertwined immune-microbial pathology.2 Here, we report an orally administered self-assembled hydrogel C2-(IIRR)2I-NH2 (CIR), engineered from host defense peptides, which disrupts the immune-microbiota entanglement. The CIR hydrogel exhibits structural transformation at the inflamed sites rich in liposaccharide (LPS), a pro-inflammatory molecule derived from pathogenic bacteria. Stable {beta}-sheet nanofibers can transfer to bioactive -helix conformations, enabling localized therapeutic action with minimal off-target toxicity. In murine colitis models, CIR restores mucosal integrity and suppresses disease severity, outperforming the first-line drug 5-aminosalicylic acid (5-ASA). Microbiome profiling reveals its capacity to rebalance gut microbiota, depleting LPS produced pathogenic bacteria like Prevotellaceae. Transcriptomic analyses further indicate that CIR silences TLR4-mediated signaling pathway. By synergistically targeting immune dysregulation and microbial dysbiosis, this self-assembled peptide hydrogel establishes a paradigm-shifting strategy for UC, offering clinically translatable potential for multifactorial gastrointestinal disorders.

bioengineering↗

bioRxiv2026

DYNAMIC CONFORMATIONS IN THE ACTIVATION OF PINK1 KINASE

Under mitochondrial stress, the mitochondrial kinase PINK1 is activated to phosphorylate ubiquitin, which in turn recruits the E3 ligase Parkin, thereby initiating clearance of damaged mitochondria. Dysregulation of the PINK1-Parkin signaling pathway is associated with early-onset autosomal recessive Parkinson's disease. However, the mechanisms governing PINK1 conformational dynamics and activation in response to mitochondrial stress remain poorly understood. Here, we report that Tribolium castaneum PINK1 (TcPINK1) forms specific symmetric dimers via interactions between the kinase N-lobe and the regulatory C-terminal domain. These dimers undergo dynamic conformational transitions across distinct states, including an autoinhibited state, an inactive intermediate state, a primed-activation state and an active state. Moreover, TcPINK1 undergoes lateral trans-phosphorylation through dimer-dimer interactions. Notably, symmetric dimer formation is essential for Parkin recruitment during mitophagy. These findings provide a framework for understanding the conformational plasticity and allosteric regulation of PINK1 in mitophagy.

biophysics↗

bioRxiv2026

MOLECULAR BASIS FOR PINK1 MATURATION

Phosphatase and tensin homolog (PTEN)-induced putative kinase 1 (PINK1), a key regulator of mitophagy, has been linked to the pathogenesis of Parkinson's disease (PD). PINK1 recruits Parkin, an E3 ubiquitin ligase, triggering mitophagy in response to mitochondrial damage. During mitophagy, the quantity, stability, and activity of PINK1 must be strictly regulated; however, the mechanisms governing these parameters under cellular stress are still unclear. Herein, we determined the structural basis for PINK1 maturation mediated by heat shock protein 90/cell division cycle 37/FK506-binding protein 51 (HSP90/CDC37/FKBP51) chaperone complex. We identified PINK1-associated proteins using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and determined the structures of the complexes using Cryo-Electron Microscopy (Cryo-EM). Results showed that FKBP51 potentially interacts with a conserved leucine-proline-phenylalanine (LPF) motif on the activation loop of PINK1 and negatively regulates PINK1 functions in mitophagy. A PINK1 mutation located at the FKBP51 recognition site is linked to mitophagy deficiency, which can be partially rescued by specific inhibition of FKBP51. These findings reveal a general mechanism for PINK1 recognition by the HSP90/CDC37/FKBP51 chaperone complex and suggest a potential approach for upregulating PINK1 activity, which is impaired in PD.

biophysics↗

bioRxiv2026

A curated human lactylome and protein language model framework enable accurate prediction and reveal local determinants of lysine lactylation

Lysine lactylation is a dynamic post-translational modification that can alter protein function and has been implicated in diverse physiological and pathological processes. Accurate identification of lactylation sites is therefore important for defining its regulatory landscape and for generating testable hypotheses about lactylation-associated mechanisms. Here, we introduce CLEAR-Lactyl and AttentionKla. CLEAR-Lactyl is a curated benchmark dataset of human lysine lactylation comprising 16,604 positive sites. AttentionKla is a deep learning framework trained on CLEAR-Lactyl that employs a pre-trained protein language model fine-tuned with LoRA; it significantly outperforms existing tools, and the factors contributing to its performance gain have been dissected through comprehensive ablation studies. Its utility in predicting novel lactylation sites and in sequence-directed modulation of lactylation levels has been experimentally validated in cellular assays. Together, CLEAR-Lactyl and AttentionKla provide a powerful platform for lysine lactylation research and offer an extensible framework for the precise modulation of other post-translational modifications.

bioinformatics↗

bioRxiv2026

Multiomic analysis of non-glaucomatous human trabecular meshwork cells.

Glaucoma is an irreversible blinding disease that affects millions of individuals worldwide. Elevated intraocular pressure (IOP), regulated by the trabecular meshwork (TM) in the anterior eye, is the only modifiable risk factor. Human TM cells can be cultured from donor eyes, providing a precious resource for studying factors that induce or prevent glaucoma. The goal of this study was to produce datasets that define the molecular profile of human non-glaucomatous TM cells. Using 18 human TM cell strains cultured from non-glaucomatous individuals deposited from seven laboratories in the USA and UK, this study used transcriptomic, proteomic, lipidomic, and metabolomic analyses to characterize the molecular content of TM cells. The data herein provides the most comprehensive multiomic analyses of human TM cells to date and will be a useful resource for researchers and clinicians in the TM and glaucoma fields.

cell biology↗

bioRxiv2026

Inflammatory suppression and cancer-associated bypass of the b0,+selenium-utilization program in the human intestine

The b0,+ transporter (SLC3A1/SLC7A9) imports cystine and selenocystine at the enterocyte apical membrane and defines a selenium-utilization program in the healthy human intestine (He et al., bioRxiv 2026); how this program is altered in disease is unknown. Using a multi-cohort single-cell framework with donor-level statistics, we find that inflammation and cancer remodel a single epithelial redox-currency axis in opposite directions. In adult Crohns disease, b0,+ co-expression in small-intestinal enterocytes was suppressed (median 4.9% vs 34% positive; P = 0.008) but preserved in paediatric IBD; this loss reflected replacement of b0,+-high mature enterocytes by a dedifferentiated state rather than transcriptional disruption, with the SLC7A9-SELENOP coupling intact. Downstream, GPX4 alone was selectively suppressed while the selenocysteine-incorporation machinery was preserved, priming the epithelium for ferroptosis in a severity-graded manner. Inflammatory cytokines (IFN{gamma}, TNF) suppressed the selenium pole in small-intestinal enteroids, and a network knockout indicated that b0,+ supports the selenoproteome through substrate supply rather than transcriptional control; an independent patient proteome and a Caco-2 polarization model corroborated the axis. Colorectal-cancer colonocytes showed the opposing pole, near-absent b0,+ with induction of the xCT/thiol program (P = 5.6 x 10-5) and a ferroptosis-resistant configuration. Thus b0,+ marks the supply node of a dual-pole selenium-thiol axis: inflammation collapses the selenium pole toward a ferroptosis-prone dedifferentiated state, whereas cancer bypasses it toward an xCT antioxidant pole. The baseline axis state is an exploratory correlate of anti-TNF response and a candidate point of disease-associated vulnerability.

molecular biology↗