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Jin, T.

Publications and source records attributed to Jin, T..

At least 19 recordsLinked to original sources

ProteinSketch translates spatial intuition into protein design with bimanual interaction in VR

Generative AI-based protein design can create diverse structures for desired functions but offers human designers limited control over three-dimensional architectures. We developed ProteinSketch, a bimanual virtual reality platform in which immersive backbone sketches and volumetric envelopes are directly created and translated into constraints for diffusion-based protein generation. RFdiffusion-based real-time refinement enabled interactive exploration and construction of user-specified protein topologies. Volumetric conditioning of sketched envelopes enabled high-fidelity control of anisometric geometries, confirmed by cryo-electron microscopy. These user-defined volumetric constraints enabled functional-binder design and extension of pre-existing minibinders to surfaces otherwise difficult to access within complex molecular environments using conventional design approaches. This collaborative human-AI framework integrates human spatial reasoning with generative AI for spatially directed, shape-controlled design of protein structure and function. One-sentence summaryImmersive ProteinSketch embeds human spatial reasoning in AI-guided design of protein topology, shape, and function.

bioengineering↗

Physics-Driven Zero-Shot Reconstruction of Isotropic 3D Fluorescence Microscopy under Undersampled Acquisition

Three-dimensional (3D) imaging represents the development of next generation of fluorescence microscopy. However, routine axial down-sampling makes isotropic resolution unrealistic. Here, we propose DeepUI, a physical zero-shot framework designed to achieve isotropic 3D fluorescence images from a low axial sampling rate. DeepUI fully leverages the intrinsic characteristics of 3D images through physics-guided degradation, which incorporates spatial-frequency joint learning to generate a scaled optical transfer function, combined with noise degradation and an up-sampling branch. Typically requiring just 5 minutes for training and 0.5 minutes for high-throughput and fast prediction, we demonstrate the superior performance of DeepUI to get isotropic results, and the exclusivity to axial down-sampling conditions, even in more challenging conditions, including defocused background, noise, and resolution blur.

bioinformatics↗

Desert hedgehog enhances endothelial resilience and prevents atherosclerosis by mitigating PAI-1 signaling

BACKGROUNDAtherosclerotic cardiovascular disease remains the leading cause of death worldwide. Most current pharmacotherapies target conventional risk factors that promote atherosclerosis (e.g., hyperlipidemia) rather than intrinsic resilience factors that protect against atherosclerosis in the face of risk factors. Here, we investigated the role of desert hedgehog (DHH), a canonical ligand of the hedgehog signaling pathway, as a novel resilience factor that restrains endothelial mesenchymal transition (EndoMT) and protects against atherosclerosis. METHODSSingle-cell RNA sequencing (scRNA-seq) was performed on atheroprone and atheroprotective regions of the ApoE knockout mouse aorta to identify mechanoresponsive genes associated with atherosclerosis. Endothelial cell-specific Dhh knockout mice were subjected to partial carotid ligation and hypercholesterolemic conditions to investigate the role of endothelial Dhh in atherosclerosis progression. scRNA-seq, bulk RNA sequencing, endothelial lineage tracing, immunoprecipitation-coupled mass spectrometry, and surface plasmon resonance were used to in-vestigate the role and mechanism of DHH in EndoMT. Pharmacological interventions and recombinant DHH administration were performed in vivo to evaluate therapeutic potential of DHH targeting. DHH expression was also examined in human atherosclerotic arteries and serum samples from patients with coronary artery disease. RESULTSDHH protein expression was enriched in arterial endothelium from mice, porcine, and humans. However, DHH expression was significantly reduced in atherosclerotic arteries and serum from patients with coronary artery disease. scRNA-seq of atheroprone and atheroresistant region of mouse aorta identified Dhh as a novel mechanoresponsive gene enriched in aortic regions exposed to unidirectional laminar flow. Endothelial cell-specific Dhh knockout (DhhecKO) mice exhibited increased atherosclerotic lesion area, large necrotic cores, and reduced collagen content following partial carotid ligation. Similarly, under hypercholesterolemic conditions, both male and female DhhecKO mice showed aggravated atherosclerosis progression. scRNA-seq of DhhecKO mouse aortas revealed an increased proportion of endothelial cells undergoing mesenchymal transition, indicating enhanced EndoMT. These findings were corroborated by bulk RNA-sequencing of DHH depleted HUVECs and endothelial lineage tracing in inducible DhhecKO mice. Mechanistically, DHH directly interacted with plasminogen activator inhibitor type 1 (PAI-1) and suppressed PAI-1-induced EndoMT. PAI-1 promoted EndoMT in ECs through activation of canonical TGF-{beta} signaling (SMAD2/3) and noncanonical AKT/ERK1/2 signaling via interaction with low-density lipoprotein receptor-related protein (LRP1). Neutralization of PAI-1 or inhibition of LRP1, AKT/ERK1/2, or SMAD3 signaling abolished DHH deficiency-induced EndoMT. DHH competitively inhibited PAI-1 binding to LRP1, thereby attenuating downstream pro-EndoMT signaling. Intriguingly, treatment with PAI-1 inhibitor TM5275 mitigated endothelial Dhh deficiency induced EndoMT in vivo. Of translational relevance, recombinant mouse DHH protein administration reduced atherosclerosis progression, stabilized plaque, and decreased the expression of EndoMT markers in ApoE knockout mice. CONCLUSIONSDesert hedgehog (DHH) is an intrinsic endothelial cell-enriched resilience factor that protects against EndoMT and atherosclerosis by preventing PAI-1 signaling. The present study implicates endothelial DHH as a potential therapeutic target for atherosclerotic cardiovascular disease. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=163 SRC="FIGDIR/small/729715v1_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@194c8a3org.highwire.dtl.DTLVardef@1004d52org.highwire.dtl.DTLVardef@d47c73org.highwire.dtl.DTLVardef@368866_HPS_FORMAT_FIGEXP M_FIG C_FIG Desert hedgehog (DHH) is an intrinsic endothelial cell-enriched resilience factor that protects against EndoMT and atherosclerosis by preventing PAI-1 binding to LRP1 and downstream AKT/ERK, as well as SMAD2/3 signaling. Clinical PerspectiveO_ST_ABSWhat Is New?C_ST_ABSO_LIDHH was identified as a flow-responsive resilience gene that is downregulated by disturbed flow in endothelial cells. C_LIO_LIEndothelial-specific deletion of Dhh promoted endothelial-to-mesenchymal transition (En-doMT) and atherosclerosis. C_LIO_LIDHH directly interacts with PAI-1 and preclude PAI-1 mediated pro-EndoMT signaling. C_LI What Are the Clinical Implications?O_LIDHH maintains endothelial homeostasis during atherosclerosis. C_LIO_LITargeting endothelial DHH-PAI-1 axis may represent a potential therapeutic strategy to reduce EndoMT and limit plaque progression. C_LIO_LILower circulating DHH level may serve as a potential biomarker of endothelial dysfunction and plaque vulnerability in atherosclerotic disease. C_LI

biochemistry↗

Heterotrimeric G protein αi2 Sequesters RasGAP to Control Neutrophil Sensitivity and Chemotaxis

G protein-coupled receptors (GPCRs) direct neutrophil chemotaxis through heterotrimeric G proteins, yet the downstream effectors of the predominant Gai isoform, Gai2, remain incompletely defined. Here we identify the Ras GTPase-activating protein CAPRI (RASA4) as a functional effector of Gai2 that links GPCR signaling to Ras adaptation. Using AlphaFold3-based structural modeling and binding free-energy calculations and experimental verification, we reveal that constitutively active and structurally altered Gai2 mutants (Q205L and T182A) exhibit enhanced binding to CAPRI. Neutrophils expressing these mutants display elevated basal Ras activity, heightened sensitivity to chemoattractant, and improved chemotaxis in low- or subsensitive-concentration gradients. However, these cells exhibit excessive Ras activation and impaired chemotaxis at high, saturating chemoattractant concentrations, while maintaining near-normal responses at intermediate concentrations. These results reveal an upward shift in the concentration range for efficient chemotaxis. Our findings not only establish a previously unrecognized Gai2-CAPRI signaling axis that tunes Ras adaptation but also define a mechanism by which heterotrimeric G proteins calibrate leukocyte navigation across diverse chemoattractant gradients.

immunology↗

Streak-Aware Localization Microscopy Enables High-Throughput Brain Imaging Across Platforms

Optical, ultrasound, and optoacoustic localization microscopy based on microparticle tracking has enabled surpassing the resolution limits imposed by ultrasound diffraction and optical diffusion in tissues. However, its reliance on high-speed (kilohertz) data acquisition systems for precise emitter localization and tracking substantially increases methodological complexity and data storage demands, limiting scalability and applicability beyond specialized benchtop platforms. Here, we present streak-aware localization microscopy (SALM) that employs localization- and tracking-free deep learning model to convert motion-blurred streaks originating from low frame rate recordings of flowing emitters into super-resolved structural and functional readouts. In optical implementations, SALM exploits streaks captured by low-speed cameras to recover capillary-level cerebrovascular maps across a variety of benchtop, miniaturized, and second near-infrared preclinical imaging platforms, achieving over 30-fold reduction in the reconstruction time compared to conventional localization pipelines. We further introduce three coded excitation strategies that embed finer time-varying vectorial flow signatures into individual streaks, enabling single-frame velocimetry and video-rate hemodynamic imaging. Extending SALM to ultrasound imaging enables high-fidelity vascular imaging with centimeter-scale penetration in rhesus macaque and rat brains while reducing plane-wave compounding frame rates by up to one order of magnitude. By overcoming long-standing trade-offs between spatiotemporal resolution and hardware complexity, SALM offers a flexible and scalable framework for next-generation super-resolution microscopy.

neuroscience↗

Protein Phosphatase 2A Orchestrates Mitochondrial Dynamics via MAPK Signaling in heart

Heart as one high ATP consuming organ accounts for 5% of the total oxygen demands. The central question of heart health is how mitochondria fit its needs. Impaired mitochondrial dynamics (fission and fusion) have been observed in failing heart, but whether and how phosphorylation events involved in mitochondrial quality control are still imperceptive. The phosphatase 2A catalytic subunit (PP2A c) cardiac-specific knockout mouse (KO), which exhibited a hypertrophic cardiomyopathy phenotype, was studied. We profiled the pattern of morphological and functional alteration of cardiac mitochondria that appeared during postnatal development. Increased heterogeneity of mitochondria and a decreased ATP yield was displayed. Notably, a fission procedure escalated. To illustrate the protagonist of the mitochondrial dynamics, we applied a high-throughput spectrometry-based phosphoproteomic screening following by GO and KEGG pathway annotations for 788 phosphosites, accounting for 90 proteins. Results suggested that the MAPK signaling may be a predominant factor associated with those mitochondrial alternations in KO hearts. Furthermore, we identified hyperphosphorylated ERK2 accumulated into the nucleus regarding PP2Ac depletion. Consequently, Fis1 expression was accelerated at the transcriptional level which facilitated recruitment of Drp1 onto the outer mitochondrial membrane. The mitochondrial fission towards shifting led to excessed mitophagy and is considered the culprit in early mortality. These findings are indicative of the fundamental role of PP2A in mitochondrial dynamics regulation and cardiomyopathy progression. During the progression of heart failure, the phospho-regulation of ERK2 could be a novel therapeutic approach to prevent or attenuate adverse hypertrophic cardiomyopathy.

cell biology↗

Heterotrimeric G Protein and RasGAP Coupling Drives Adaptation During Chemotaxis

Chemotaxis enables eukaryotic cells to detect and migrate along extracellular chemoattractant gradients spanning several orders of magnitude. This remarkable dynamic range relies on adaptation, a process that allows cells to reset their signaling machinery while preserving sensitivity to incremental changes in stimulus intensity. Although numerous actin-dependent feedback mechanisms have been characterized, the molecular basis of adaptation within the actin-independent core gradient-sensing module remains poorly understood. Here we identify the Ras GTPase-activating protein C2GAP1 as a critical F-actin-independent effector of the heterotrimeric G protein G2 in Dictyostelium discoideum. Using cytoskeleton-free gradient-sensing cells, quantitative imaging, biochemical assays, FRET-based G-protein activation measurements, and structural modeling, we demonstrate that C2GAP1 controls concentration-dependent adaptation during gradient sensing. Mechanistically, C2GAP1 directly associates with G2 in both GDP- and GTP-bound states, with preferential binding to activated G2, thereby sustaining membrane recruitment and locally attenuating signaling. Loss of C2GAP1 enhances G-protein activation, disrupts front-specific inhibition, and impairs rapid reorientation in dynamic gradients. These findings define a direct coupling between heterotrimeric G proteins and a RasGAP as a core adaptive module that calibrates gradient sensing across wide concentration ranges. HighlightsChemotaxis, the directional migration of cells along chemoattractant gradients, underlies processes such as neuron patterning, lymphocyte recruitment, cancer metastasis, and Dictyostelium discoideum development. The hallmark of eukaryotic chemotaxis is the ability to sense and respond to gradients spanning wide concentration ranges through cellular adaptation. This process involves three interconnected modules: gradient sensing, cell polarity, and migration, with gradient sensing as the foundation. While many components of GPCR-mediated signaling are known, the molecular mechanisms driving adaptation remain unclear. Here, we show that the heterotrimeric G protein subunit interacts with RasGAP C2GAP1 to mediate adaptation during gradient sensing and chemotaxis.

cell biology↗

Event2Flow: Scalable imaging of peripheral and cerebral hemodynamics with event-based vision sensors

Accurate blood flow mapping over mesoscale fields of view is essential for understanding physiological and pathological processes, yet conventional optical methods often rely on bulky high-speed cameras that generate massive datasets with excessive computation burden. Here, we introduce Event2Flow, a compact and data-efficient framework leveraging event-based vision sensors, which asynchronously capture brightness changes with sub-millisecond latency and minimal data redundancy. Event2Flow supports multiple contrast mechanisms for flow measurement, including speckle fluctuation and particle tracking. By correlating the event count with flow velocity through simulations and experiments, we first demonstrate its application in laser speckle imaging for noninvasive mapping of mouse ear vasculature and ethanol-induced hemodynamic changes. When integrated with widefield fluorescence localization microscopy and point spread function engineering, Event2Flow further enables kilohertz-rate particle tracking for rapid 3D velocity quantification in transcranial brain imaging and snapshot flow direction estimations using event polarity. Overall, Event2Flow offers a scalable alternative to conventional high-speed imaging systems for vascular and neuroimaging applications.

neuroscience↗

Resolving Heterogeneity in Major Depression: Overcoupling and Undercoupling Subtypes Exhibit Differential Treatment Response and Molecular Pathways

Major depressive disorder (MDD) exhibits significant heterogeneity whose neurobiological mechanisms remain elusive. Alterations in morphological-functional coupling (MFC) have been observed in MDD. This study aims to investigate MDD subtypes based on MFC alterations and their associations with clinical symptoms and molecular basis. We identified two clinically distinct MDD subtypes in multi-center neuroimaging data (Discovery: 828 MDD/776 healthy controls; Validation: 236 MDD/86 healthy controls) by using a semi-supervised machine learning approach based on MFC changes, which were validated and robustly repeated in the validation dataset. Differences among subtypes were then examined in relation to clinical assessments, gene expression patterns, neurotransmitter and cell density, and treatment response. Subtype I (overcoupling) showed elevated MFC in high-order association cortices, linking to synaptic transmission activity and severe symptoms. Subtype II (undercoupling) demonstrated reduced MFC in primary cortices, associated with cell cycle regulation and treatment resistance. Both subtypes shared molecular signatures (cell types: astrocytes and oligodendrocytes; neurotransmitter systems: serotonergic and GABAergic receptors). Crucially, longitudinal data (33 MDD undergoing Escitalopram monotherapy) revealed that undercoupling subtype exhibited better response, implying a potential mechanism of the drug via increasing the MFC. Our work deciphers MFC-driven MDD phenotypes with distinct molecular profiles and differential treatment outcomes, suggesting potential pathways for personalized diagnosis and treatment strategies in MDD, advancing precision psychiatry.

neuroscience↗

An extremophilic Nocardiopsis strain from Great Salt Lake expands the taxonomic range of mycolic acid biosynthesis

Mycolic acids, long-chain fatty acids that form the characteristic and relatively impermeable mycomembrane, have long been considered a defining chemotaxonomic feature of the order Mycobacteriales. Here, we report that Nocardiopsis bonnevillensis, a new type strain isolated from the hypersaline environment of Great Salt Lake, is the first organism outside of this order known to produce mycolic acids. Lipid profiling, acid-fast staining, isoniazid sensitivity, and genome mining confirmed hallmark features of mycolic acid biosynthesis. Evaluation of the strains metabolic capabilities led to the isolation of bonnevanoside, a thiophenyl nonulopyranoside reported here for the first time from a natural source. Moreover, additional Great Salt Lake-derived Nocardiopsis isolates exhibited acid-fast staining, suggesting that this trait may be more widespread than previously recognized. Altogether, these findings expand the taxonomic distribution of mycolic acid biosynthesis, challenge long-standing chemotaxonomic boundaries, and highlight the potential ecological significance of mycolate-containing envelopes in supporting bacterial survival in extreme environments.

microbiology↗

CART-GPT: A T Cell-Informed AI Linguistic Framework for Interpreting Neurotoxicity and Therapeutic Outcomes in CAR-T Therapy

Chimeric antigen receptor (CAR) T cell therapy holds transformative potential for hematologic malignancies, yet predicting patient-specific treatment efficacy and neurotoxicity remains a major clinical challenge due to the complex and heterogeneous nature of the infused CAR-T cell populations. Here, we introduce CART-GPT, a transformer-based model fine-tuned on a curated atlas of 1.12 million CAR-T single-cell RNA-seq profiles annotated with clinical outcomes. CART-GPT is the first AI model developed for CAR-T therapy that predicts both treatment response and the risk of immune effector cell-associated neurotoxicity syndrome (ICANS), achieving state-of-the-art performance (AUC ~0.8) and marking a significant advance in the field. The model provides interpretable insights, revealing that neither therapeutic efficacy nor neurotoxicity is driven by individual cell types alone, but by the combined influence of discrete, distinct subsets across diverse T cell states and transcriptional programs. A novel cell aggregation strategy links single-cell predictions to patient-level metrics, enhancing both accuracy and biological relevance. As a contribution to this ever-evolving field, we also release a comprehensive, annotated single-cell CAR-T atlas as a community resource to facilitate future research in immunotherapy. These advances demonstrate the potential of foundation models in single-cell biology to inform precision CAR-T treatment planning and facilitate the rational design of next-generation cell therapies.

bioinformatics↗

Plasmin-Mediated Processing of Clumping Factor A Impacts Bacterial Aggregation and Abscess Formation during Staphylococcus aureus Infection

The interface between pathogenic bacteria and the host plays a critical role during the progression of infection. Bacterial surface components, such as the Staphylococcus aureus cell wall-anchored protein clumping factor A (ClfA), interact with host factors. ClfA promotes bacterial aggregation in plasma by binding to fibrinogen. Here, we show that the host serine endopeptidase plasmin cleaves ClfA, disrupting its interaction with fibrinogen and promoting bloodstream survival and virulence in S. aureus. We found that plasmin cleaves ClfA between residues Arg214 and Ala215. Cleavage occurs in human serum regardless of whether plasmin becomes activated by host tissue-plasminogen activator or by the activity of the S. aureus enzyme staphylokinase. Expressing a plasmin-resistant form of ClfA, and a truncated form that mimics the plasmin-cleaved product on the bacterial cell surface, revealed that following cleavage, ClfA cannot mediate aggregation of S. aureus in fibrinogen. Truncated ClfA on the cell surface cannot bind to fibrinogen and promotes the establishment of renal abscesses in vivo. Collectively, our findings suggest that activation of plasmin during infection leads to site-specific processing of ClfA, and this not only abrogates fibrinogen binding but also facilitates enhanced S. aureus persistence in the host. Thus, we demonstrate that proteolytic processing by plasmin is a mechanism for modulating the host-pathogen interaction during infection. Author SummaryStaphylococcus aureus is a major human bacterial pathogen that binds to host factors during infection using its surface adhesins. Here we describe a novel mechanism by which host proteolytic activity modulates bacterial interaction with the plasma protein fibrinogen to influence the course of infection. The surface adhesin clumping factor A (ClfA), binds to fibrinogen, causing bacterial aggregation in the bloodstream. In this study, we show that the host enzyme plasmin cleaves ClfA at a specific site, disrupting its ability to bind fibrinogen. Cleavage eliminates ClfA-mediated aggregation in plasma fibrinogen and enhances S. aureus virulence in vivo, increasing the formation of kidney abscesses. Our work therefore demonstrates that specific protease-mediated processing of bacterial adhesins by host factors can influence the progression of infection.

microbiology↗

Disturbed engram network caused by NPTXs downregulation underlies aging-related memory deficits

Engram cells storing specific memories are allocated to separate neuronal ensembles, which preferentially recruit either excitatory or inhibitory inputs to drive precise memory expression. However, how these formed neuronal ensembles maintain their stability, and whether the disturbed stability contributes to aging-related memory deficits remain elusive. Here, we show that neuronal pentraxin1 (NPTX1) facilitates Kv7.2-mediated inhibition of Fos+ensemble hyperexcitability, thereby restricting its response to excitatory inputs from medial entorhinal cortex (MEC) and promoting memory expression in the fear context. Meanwhile, NPTX2 facilitates the perisomatic inhibition of the Npas4+ ensemble by parvalbumin+ (PV+) interneurons, thus preventing fear memory overgeneralization. Pharmacological activation of Kv7.2 or chemogenetic activation of PV+ interneurons repaired memory deficits caused by engram specific NPTXs depletion. Contextual fear memory precision and NPTXs expression in dentate gyrus (DG) engram cells are decreased in aged mice. Overexpression of NPTX1 in Fos+ensemble or AMPAR binding domain of NPTX2 in Npas4+ ensemble rescued memory imprecision. These findings elucidate that the coordination of NPTXs prevents engram ensembles from becoming hyperactive and provide a causal link between engram network destabilization and aging-associated memory deficits.

neuroscience↗

Deciphering of single-cell chromatin accessibility and transcriptome reveals the discrepancy for ex vivo human erythropoiesis

BackgroundErythroid cells can be generated from hematopoietic stem and progenitor cells (HSPC) derived from various sources; however, few studies decode ex vivo human erythropoiesis for the discrepancies at single-cell multi-omics resolution and uncover the underlying restraints for erythrocyte regeneration. ResultsWe deciphered ex vivo human erythropoiesis at two differentiation states from three sources at single-cell chromatin accessibility and transcriptomes level. We identified detrimental myeloid differentiation tendencies during early differentiation. These tendencies were linked to low glutamine activity in cord blood- and iPSC-derived erythropoiesis. The erythroid progenitor differentiation is restricted by cell cycle and hypoxia signaling deficiencies, which are pronounced in the iPSC-derived erythropoiesis. We delineated the erythroid differentiation trajectory of various ex vivo erythropoiesis systems, and revealed a distinct roadmap from HSC to orthochromatic erythroblast with unprecedented resolution. The integrative analysis of single-cell chromatin accessibility and transcriptome across developmental stages uncovered a dynamic coordination, and highlighted the pivotal role of chromatin accessibility and associated enhancers in regulating ex vivo erythropoiesis. Cell-cell communications in the ex vivo erythropoiesis system were not as well established as those in the BM, suggesting that modulating cell-cell communication signals in distinct ex vivo erythropoiesis system may facilitate erythrocyte regeneration. ConclusionsThis study comprehensively characterized the discrepancies and constraints in ex vivo human erythropoiesis at single-cell multi-omics resolution, offering novel strategies to overcome these constraints. These insights are critical for advancing functional erythrocyte generation and have significant implications for clinical applications.

developmental biology↗

A Preliminary Application of Bird Surveys Using Environmental DNA Technology: in Futian Mangrove Nature Reserve

Futian Mangrove Nature Reserve is a vital habitat for birds in Shenzhen city of China, and the diversity of bird species is of considerable concern. Traditional surveys depend on direct observation and expert assessment, necessitating significant manpower for tracking. This study utilized environmental DNA metabarcoding technology to gather 128 environmental samples of water, soil, and air, along with samples of bird feces and feathers collected during the summer and winter of 2023. A total of 72 bird operational taxonomic units (OTUs) were identified. The results revealed variations in bird detection across different environmental samples, with air samples yielding 52 bird OTUs, water samples 29, and soil samples 23. Detected bird OTUs were notably higher in winter samples compared to summer. Additionally, the average number of bird OTUs detected in air samples during summer and winter was 14.9 and 10.1, respectively, significantly exceeding those found in the corresponding water and soil samples. The identification of bird feces and feather samples confirmed the presence of the identified bird species in the environmental samples. This study concludes that environmental DNA technology can serve as a valuable complementary method for monitoring bird diversity, with different environmental samples showing distinct preferences in bird detection.

ecology↗

H2B.W2, a Spermatocytes-specific Histone Variant, disrupts nucleosome stability and reduces chromatin compaction

Spermatogenesis is a highly regulated process that requires precise chromatin remodeling, which includes the incorporation of testis-specific histone variants. While several of these variants have been characterized, the role of H2B.W2, a member of the H2BW family, remains largely unclear. Here, we showed that H2B.W2 expression occurs mainly in spermatocytes, slightly later than its paralog H2B.W1. Cryo-electron microscopy (cryo-EM) analysis of H2B.W2-containing nucleosomes reveals a more relaxed conformation compared to canonical nucleosomes caused by weakened interactions between the outer DNA turn and the histone core. We pinpointed the N-terminal tail and 2 helix of H2B.W2, specifically residues D85 and Q101, as critical for nucleosome destabilization. Furthermore, we identify G73 within the L1 loop as a key residue involved in disrupting higher-order chromatin structure. Our findings suggest that H2B.W2-mediated nucleosome and chromatin destabilization may play a role in regulating gene expression during spermatogenesis, with potential implications for sperm development and function.

biochemistry↗

Habitat fragmentation mediates the mechanisms underlying long-term climate-driven thermophilization in birds

Climatic warming can shift community composition driven by the colonization-extinction dynamics of species with different thermal preferences; but simultaneously, habitat fragmentation can mediate species responses to warming. As this potential interactive effect has proven difficult to test empirically, we collected data on birds over 10 years of climate warming in a reservoir subtropical island system that was formed 65 years ago. We investigated how the mechanisms underlying climate-driven directional change in community composition were mediated by habitat fragmentation. We found thermophilization driven by increasing warm-adapted species and decreasing cold-adapted species in terms of trends in colonization rate, extinction rate, occupancy rate and population size. Critically, colonization rates of warm-adapted species increased faster temporally on smaller or less isolated islands; cold-adapted species generally were lost more quickly temporally on closer islands. This provides support for dispersal limitation and microclimate buffering as primary proxies by which habitat fragmentation mediates species range shift. Overall, this study advances our understanding of biodiversity responses to interacting global change drivers.

ecology↗

Single-cell genomics and regulatory networks for 388 human brains

Single-cell genomics is a powerful tool for studying heterogeneous tissues such as the brain. Yet, little is understood about how genetic variants influence cell-level gene expression. Addressing this, we uniformly processed single-nuclei, multi-omics datasets into a resource comprising >2.8M nuclei from the prefrontal cortex across 388 individuals. For 28 cell types, we assessed population-level variation in expression and chromatin across gene families and drug targets. We identified >550K cell-type-specific regulatory elements and >1.4M single-cell expression-quantitative-trait loci, which we used to build cell-type regulatory and cell-to-cell communication networks. These networks manifest cellular changes in aging and neuropsychiatric disorders. We further constructed an integrative model accurately imputing single-cell expression and simulating perturbations; the model prioritized [~]250 disease-risk genes and drug targets with associated cell types. Summary Figure O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=95 SRC="FIGDIR/small/585576v2_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@70b24org.highwire.dtl.DTLVardef@6c9eddorg.highwire.dtl.DTLVardef@131fae2org.highwire.dtl.DTLVardef@4e0f1e_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗