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Biology subjects

An, X.

Publications and source records attributed to An, X..

At least 19 recordsLinked to original sources

Mechanistic insights into coronavirus inhibition by a distinct base-modified adenosine analog targeting the viral polymerase

Nucleoside analog (NA) inhibitors of viral polymerases are a chemically diverse and prominent class of antivirals, with most agents bearing sugar modifications to induce chain termination. Compounds with a modified base yet natural ribose are comparatively rare and typically incorporated to act as virus mutagens, raising significant safety concerns. How nucleobase modifications interfere with polymerization and the molecular basis of this effect remain poorly understood. We here define the mechanism of 6-ethyl-modified 7-deazaadenosine (EDA), a recently identified coronavirus (CoV) inhibitor that does not induce virus mutagenesis. Its strong activity spans across multiple CoVs and cell models and is dictated by the 6-ethyl substituent, with poor tolerance for smaller, larger or heteroatom-containing substituents. At the level of SARS-CoV-2 RNA-dependent RNA polymerase (RdRp), EDA-triphosphate incorporates as a mimic of ATP but not other NTPs, inducing immediate stalling but also excision by the viral 3'-to-5' exonuclease. While EDA incorporation prevents extension with a second EDA residue, the stalling of natural NTP incorporation is transient and still allows the formation of longer products. A similar phenomenon is observed with template-embedded EDA. Cryo-EM analysis with SARS-CoV-2 RdRp revealed that 3'-terminal EDA is accommodated without distortion of the template:primer duplex, but its 6-ethyl group induces rearrangements in the NTP binding pocket that prevent stable binding of the incoming nucleotide. The mechanistic findings were validated through antiviral studies with SARS-CoV-2 mutants bearing core substitutions in the RdRp or exonuclease. Together, these findings position EDA as a mechanistically distinct base-modified NA prototype that has relevance beyond coronaviruses and underscores the ever-expanding versatility of NA-based polymerase inhibitors.

microbiology↗

RiboDFM: Robust RNA sequence design using backbone-conditioned discrete flow matching

Designing RNA sequences that fold into predefined 3D structures is central to RNA engineering, yet it remains challenging due to the scarcity of experimentally determined structures and the complex sequence-structure relationships. Here, we present RiboDFM, a backbone-conditioned discrete flow-matching framework for RNA sequence design. RiboDFM progressively resolves fully masked sequences by integrating a geometric backbone encoder, an auxiliary base-pairing prediction head, and language model representations into a discrete flow sampler. To expand our training data, we supplemented experimental structures with a large-scale collection of trRosettaRNA2-predicted models. Across diverse benchmarks, RiboDFM achieves high sequence recovery and generates sequences with greater tertiary-structure self-consistency than existing methods. RiboDFM also performs strongly on aptamer-focused design tasks. Finally, beyond sequence generation, the nucleotide probabilities derived from RiboDFM' s flow trajectory serve as an intrinsic measure of sequence-structure compatibility. This enables reliable confidence estimation for designed sequences, as well as reference-free, zero-shot assessment of predicted structure models. Together, these results establish RiboDFM as an effective framework for structure-based RNA sequence design.

bioinformatics↗

Multiple Oscillatory Neural Rhythms Support Metacognitive Access of Working Memory

Working memory enables the maintenance of information to guide behavior, yet its representations are inherently noisy and variable. To act effectively, observers must track the uncertainty of their own memory. However, the neural mechanisms supporting uncertainty representations in working memory remain poorly understood, particularly at the level of neural dynamics. Here, we combined electroencephalography (EEG) with a spatial visual working memory task that elicited trial-by-trial uncertainty reports to investigate how oscillatory activity encodes memory uncertainty. We identified two forms of uncertainty supported by distinct oscillatory neural activity. Using a probabilistic encoding-decoding model, we found that memory content can be reconstructed from alpha-band activity, and that the precision of these representations predicts subsequent uncertainty reports, consistent with probabilistic mnemonic representations. In parallel, beta-band activity contained a scalar, magnitude-based, representation of uncertainty. This signal exhibited slow, persistent dynamics across task epochs and tracked uncertainty reports for both the current and previous trials. Together, these findings show that the human brain multiplexes two neural codes for memory uncertainty, representational precision and a scalar confidence signal, across distinct oscillatory rhythms, providing a neural dynamical account of metacognitive access to working memory.

neuroscience↗

Flexible integration of corollary discharge and sensory feedback signals in somatosensory cortex

Motor control depends on the continuous integration of motor and sensory signals to maintain accurate estimates of body state, yet neural evidence for this integration remains elusive. Here, we investigated the interaction of motor corollary discharge and proprioceptive feedback signals in area 2 of monkey somatosensory cortex during voluntary and externally-perturbed reaching tasks. Though single neurons had mixed responses to corollary discharge and sensory feedback, we disentangled these signals at the population level to discover they occupy approximately orthogonal subspaces. Integrating information across these subspaces enabled accurate body state estimation prior to feedback arrival during voluntary movements. Moreover, the orthogonal population geometry of corollary discharge and sensory feedback enabled cancellation of movement-related signals to improve the decoding of external perturbations. Together, these results identified orthogonality as a population-level coding strategy for flexible integration of motor and sensory signals to support multiple distinct computations.

neuroscience↗

Single-cell spatiotemporal transcriptomics reveals the developmental dynamics and regulatory network of poplar seed fibers

Poplar seed fibers cause environmental and health concerns, yet their developmental mechanisms remain poorly understood. Here, we constructed a high-resolution spatiotemporal transcriptomic atlas of female poplar capsules by integrating single-nucleus and spatial transcriptomics. We delineated the developmental trajectory of seed fibers, confirming their origin from placenta cells, and identified three functionally distinct fiber cell subtypes involved in initiation, metabolic support, and elongation. Weighted gene co-expression network analysis (WGCNA) identified several hub transcription factors, including PtoMYB, PtoHDT1, PtoEIF6 and PtoPDF2, that may serve as key regulators of fiber development. Our study provides a cellular-resolution framework for understanding trichome development in woody perennials and offers candidate targets for functional characterization toward breeding low-fluff poplar cultivars. HighlightsO_LIA spatiotemporal transcriptomic atlas of poplar capsule development is constructed at single-cell resolution C_LIO_LIFiber cells originate from placenta cells and comprise three functionally distinct subtypes C_LIO_LIProvides molecular targets for breeding low-fluff poplar cultivars to mitigate environmental pollution C_LI

plant biology↗

Bioabsorbable Magnesium Metal ScaffoldsImprove Dermal Wound Healing and Tissue Regeneration

ObjectiveEvaluate the effects of bioabsorbable magnesium wires on dermal wound healing and tissue regeneration in a murine full-thickness wound model. Approach6 mm diameter stented dorsal skin wounds were created in C57BL/6J mice and treated with implanted WE43B magnesium alloy wires or PBS control. Wound healing was evaluated on days 7 and 28 by histology, immunohistochemistry, and micro-CT. Finite element analysis modeled mechanical strain distribution due to wire degradation during healing. ResultsAt day 7, magnesium wire-treated wounds showed 100% improved granulation tissue formation, reduced inflammation (37% fewer CD45+ leukocytes and 37% fewer F4/80+ macrophages), increased neovascularization (91% more CD31+ lumens), and 74% more nerve bundles. Improved wound closure (mean difference -1.48 mm) did not reach statistical significance (d = 1.06). By day 28, magnesium-treated wounds showed improved collagen organization and normalized epidermal thickness. The increase in dermal appendages (247%), and vascular density (41%) did not reach statistical significance. Micro-CT confirmed progressive wire degradation. Modeling revealed that degrading wires dynamically altered strain gradients in healing tissue, thereby modulating the spatial mechanical cues that govern fibroblast migration and extracellular matrix (ECM) remodeling. InnovationMagnesium is an essential trace element involved in cellular processes critical to wound repair, including angiogenesis, nerve growth, inflammation modulation, and ECM remodeling. Previous magnesium delivery systems incorporated polymers or other confounding materials that degrade rapidly. We directly applied bioabsorbable pure magnesium metal to provide sustained ion release and favorable mechanical properties to support regenerative healing. ConclusionBioabsorbable magnesium wires support regenerative wound healing by reducing inflammation, enhancing neovascularization, and promoting favorable ECM remodeling without adverse inflammatory reactions. These findings provide a strong rationale to harness magnesium metal use in wound healing applications.

bioengineering↗

Spin-State Modulation by Atom-Cluster Synergy Steers H2O2 Conversion toward a Catalase-like Decomposition Pathway for Anti-Inflammatory Therapy

Nanozymes have emerged as promising enzyme mimics for anti-inflammatory therapy. However, their catalytic efficiency and substrate selectivity generally remain inferior to those of natural enzymes. Single-atom nanozymes (SAzymes), with isolated metal centers resembling enzymatic active sites, represent an important advance toward rational design of nanozyme, but achieving enzyme-like selectivity remains challenging. Herein, we reported a spin-state modulation strategy to prepare Fe-N-C nanozyme with coexisting single atoms and nanoclusters (FeSA+NC) via reductive-gas pyrolysis. Experimental analyses and density functional theory calculations revealed that Fe nanoclusters induced local symmetry breaking and charge redistribution around FeN4 sites, shifting the Fe centers toward a higher spin configuration and thereby modulating the free energy changes of the H2O2 conversion pathway. As a result, FeSA+NC showed dramatically enhanced catalase (CAT)-like activity (333.79 U mg-1) and suppressed peroxidase (POD)-like activity (38.49 U mg-1), achieving superior selectivity compared to Fe SAzymes (FeSA), which showed comparable CAT- and POD-like activities (62.39 and 60.39 U mg-1, respectively). Moreover, FeSA+NC achieved a higher superoxide dismutase (SOD)-like activity (929.27 U mg-1) than FeSA (249.68 U mg-1), enabling efficient SOD-CAT cascade. FeSA+NC effectively scavenged excessive intracellular reactive oxygen species, suppressed M1 macrophage polarization, and enhanced the therapeutic efficacy of intra-articular stem cell injection in a rat model of rheumatoid arthritis, a representative chronic inflammatory disease. This work highlights an atom-cluster synergy strategy for steering H2O2 conversion towards antioxidant pathway, offering a general design principle for safer, more controllable and more efficient nanozyme-based anti-inflammatory therapeutics.

bioengineering↗

Integrative analysis of GTEx data reveals that systemic transcriptomes correlate with human spermatogenic dysfunction

Declining of male fertility may stem from intrinsic testicular dysfunction or systemic influences from other tissues. However, beyond the hypothalamic-pituitary-testis axis, little is known about which organs interact with the testes or whether they affect spermatogenic capacity. To investigate this, we analyzed GTEx open-access data, comparing transcriptomic profiles across various tissues in men with high and low testicular spermatogenic activity. Our findings reveal significant associations between testicular function and the pituitary gland, adrenal gland, lungs, liver, and key brain regions involved in neuroendocrine regulation, including the amygdala, substantia nigra, anterior cingulate cortex, and frontal cortex. These results suggest potential extragonadal pathways that modulate male fertility, highlighting candidate biomarkers for testicular dysfunction and novel therapeutic targets for infertility intervention.

developmental biology↗

Motor Cortical Output Integrates Distorted Proprioceptive Feedback

Proprioceptive feedback from muscles is essential for continuous monitoring and precise control of limb movement, yet how such peripheral feedback is integrated into ongoing descending motor cortical dynamics remains largely unclear. Here we used precisely timed optogenetic stimulation of forelimb muscles to manipulate proprioceptive signals during a mouse reach-to-consume task. Mice were able to successfully reach and consume despite muscle stimulation-evoked forelimb deviations. Across the cortex, the caudal forelimb area (CFA) was preferentially activated by muscle-specific proprioceptive inputs and contributed to stabilizing perturbed forelimb movement. CFA extratelencephalic (ET) neurons encoded movement kinematics as well as proprioceptive feedback. At neuron population level, proprioceptive perturbations rapidly deflected CFA ET neural trajectories away from the task-relevant manifold yet exerted only limited effects on evolving task dynamics. These results reveal that descending cortical circuit implements activity subspace separation to encode and integrate distorted proprioceptive feedback while preserving task-relevant output.

neuroscience↗

Visuospatial attention exerts opposite modulatory effects on explicit and implicit audiovisual subjective synchrony via the frontoparietal network

Synchronization and integration constitute two essential subprocesses of audiovisual binding, commonly indexed by explicit subjective synchrony (ESS) and implicit subjective synchrony (ISS), respectively. Previous studies have shown that spontaneous fluctuations in visual attention are associated with ESS, and that ESS and ISS are negatively correlated, consistent with the temporal renormalization theory. However, it remains unknown whether controlled manipulations of visuospatial attention can causally modulate ESS and ISS in opposite directions via distinct neural mechanisms. To address this question, we conducted two complementary EEG experiments. In Experiment 1, ESS was assessed using a spatially cued beep-flash synchrony judgment task and the point of subjective simultaneity (PSS). In Experiment 2, ISS was measured using fusion and fission variants of the sound- induced flash illusion, with the peak illusion rate (PIR) as the behavioral index. This dual-paradigm design enabled direct comparison between explicit and implicit synchrony under matched attentional manipulations. Behaviorally, asymmetric allocation of visuospatial attention between auditory- and visual-leading conditions induced opposite shifts in PSS and PIR, specifically in the fusion variant. At the neural level, prestimulus frontal theta oscillations were associated with variations in PSS, whereas bilateral frontotemporal and left posterior beta oscillations were associated with variations in PIR. These results demonstrate that visuospatial attention exerts opposite modulatory effects on ESS and ISS through distinct oscillatory dynamics, providing causal evidence for the temporal renormalization theory and advancing understanding of how attentional control shapes multisensory temporal binding.

animal behavior and cognition↗

Distinct neurogenic pathways shape the diversification and mosaic organization of cortical output channels

The cerebral cortex broadcasts its output to subcortical regions through the projections of diverse extratelencephalic neurons (ETs) derived from either direct (dNG-ETd) or indirect (iNG-ETi) neurogenesis, but the differential contributions of these neurogenic pathways to cortical output organization remain unknown. Establishing a lineage-based viral targeting strategy in mice, we uncover that ETi massively amplifies and diversifies ETd projections across the cortex. Whereas ETd primarily targets the forebrain and midbrain, ETi dominates the hindbrain (e.g., brainstem/spinal action centers, lemniscal sensory stations), hypothalamic, and neuromodulatory regions with cortical area-specific projections. Numerous corticofugal subpopulations derive solely from iNG-ETi. Area-specific spinal projections of ETi but not ETd emerge from the postnatal pruning of an initial cortex-wide population. In the motor cortex, ETd or ETi activation induced distinct movements: either head-trunk, or additionally, coordinated orofacial-forelimb movements, respectively. Thus, two foundational neurogenic pathways with distinct evolutionary history differentially shape the area-specific diversification of cortical output channels.

neuroscience↗

dsRNAEngineer: a web-based tool of comprehensive dsRNA design for pest control

RNA interference (RNAi) is a form of gene silencing triggered by double-stranded RNA (dsRNA) that operates in all eukaryotic organisms, including insects, mites, nematodes and fungi. In the last two decades, many dsRNAs have been synthesized to silence the target genes for exploration of the underlying function in these pests. Some of them are lethal to pests or inhibit the growth of the pest population, leading to a new concept of pesticides. The generation of these environment-friendly pesticides requires precise in silico design of dsRNA molecules that are specific to target pests but do not target non-pest organisms. Current efforts for dsRNA design are mostly focused on gene sequence level, lacking comprehensive analysis of RNAi-based mode-of-action at the whole transcriptome level of given species, causing low efficiency and imprecise dsRNA target exploration. To address these limitations, we have created dsRNAEngineer, a publicly available online tool that allows a comprehensive and rational dsRNA design, incorporating hundreds of pests and non-pests transcriptomes. Developed functionalities include screen-target (screen conserved genes for co-targets of various pest species), on-target, off-target, and multi-target to generate optimal dsRNA for precise pest control. dsRNAEngineer is available at https://dsrna-engineer.cn/. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=138 SRC="FIGDIR/small/604585v1_ufig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@9ee7fdorg.highwire.dtl.DTLVardef@90b015org.highwire.dtl.DTLVardef@11857eborg.highwire.dtl.DTLVardef@1340f18_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

IDH1 regulates human erythropoiesis by eliciting chromatin state reprogramming in a metabolic enzyme independent manner

Isocitrate dehydrogenase 1 (IDH1) is the key enzyme that was involved in the modulation of cellular metabolism, epigenetic modification and redox states homeostasis. Gain-of-function mutations and decreased expression of IDH1 have been demonstrated to be tightly associated with the pathogenesis of various myeloid malignancies characterized by ineffective erythropoiesis, such as acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). However, the function and mechanism of IDH1 in human erythropoiesis still remains to be further explored. Here, utilizing the human erythropoiesis system, we present an evidence of IDH1-mediated chromatin state reprogramming besides its well-characterized metabolism effects. We showed that knockdown of IDH1 induced chromatin reorganization and subsequently led to abnormalities of various key biological events in erythroid precursors, which could not be rescued by addition of reactive oxygen species (ROS) scavengers or supplementation of -ketoglutarate (-KG). We further revealed that deficiency of IDH1 induces genome-wide changes in distribution and intensity of multiple histone marks, among which H3K79me3 was identified as a critical factor in chromatin state reprogramming. Integrated analysis of ChIP-seq, ATAC-seq and RNA-seq recognized that SIRT1 was the key gene affected by IDH1 deficiency. Thus, our current work provided novel insights for further clarifying fundamental biological function of IDH1 which has substantial implications for an in-depth understanding of pathogenesis of diseases with IDH1 dysfunction and accordingly development of therapeutic strategies. Key PointsO_LIIDH1 deficiency impaired terminal erythropoiesis; C_LIO_LIIDH1 deficiency leads to chromatin states reprogramming by causing aberrant accumulation and genome-wide re-distribution of H3K79me3; C_LIO_LIDyserythropoiesis is caused by upregulation of SIRT1 induced by H3K79me3 accumulation. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/599556v2_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@328986org.highwire.dtl.DTLVardef@1e2e8a0org.highwire.dtl.DTLVardef@166885org.highwire.dtl.DTLVardef@1283261_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

Identifying Interpretable Latent Factors with Sparse Component Analysis

In many neural populations, the computationally relevant signals are posited to be a set of latent factors - signals shared across many individual neurons. Understanding the relationship between neural activity and behavior requires the identification of factors that reflect distinct computational roles. Methods for identifying such factors typically require supervision, which can be suboptimal if one is unsure how (or whether) factors can be grouped into distinct, meaningful sets. Here, we introduce Sparse Component Analysis (SCA), an unsupervised method that identifies interpretable latent factors. SCA seeks factors that are sparse in time and occupy orthogonal dimensions. With these simple constraints, SCA facilitates surprisingly clear parcellations of neural activity across a range of behaviors. We applied SCA to motor cortex activity from reaching and cycling monkeys, single-trial imaging data from C. elegans, and activity from a multitask artificial network. SCA consistently identified sets of factors that were useful in describing network computations.

neuroscience↗

Cortical network and projection neuron types that articulate serial order in a skilled motor behavior

The coordination of forelimb and orofacial movements to compose an ethological reach-to-consume behavior likely involves neural communication across brain regions. Leveraging wide-field imaging and photo-inhibition to survey across the cortex, we identified a cortical network and a high-order motor area (MOs-c), which coordinate action progression in a mouse reach-and-withdraw-to-drink (RWD) behavior. Electrophysiology and photo-inhibition across multiple projection neuron types within the MOs-c revealed differential contributions of pyramidal tract and corticothalamic (CTMOs) output channels to action progression and hand-mouth coordination. Notably, CTMOs display sustained firing throughout RWD sequence and selectively enhance RWD-relevant activity in postsynaptic thalamus neurons, which also contribute to action coordination. CTMOs receive converging monosynaptic inputs from forelimb and orofacial sensorimotor areas and are reciprocally connected to thalamic neurons, which project back to the cortical network. Therefore, motor cortex corticothalamic channel may selectively amplify the thalamic integration of cortical and subcortical sensorimotor streams to coordinate a skilled motor sequence.

neuroscience↗

Prestimulus neural variability affects behavioral performances mediated by poststimulus-evoked responses at the intraindividual and interindividual levels

There are significant intra-individual and inter-individual variabilities in audiovisual temporal perception. Previous studies have shown that prestimulus neural variability could reflect behavioral variabilities. We aimed to investigate whether prestimulus neural variability can predict behavioral variability in audiovisual temporal perception. Furthermore, We also explored whether prestimulus neural variability directly influences behavioral responses or indirectly impacts perceptual decisions through post-stimulus-evoked responses. We analyzed the electroencephalography (EEG) data from a paradigm where the twenty-eight human subjects performed a simultaneity judgment (SJ) task in the beep-flash stimulus. The prestimulus weighted permutation entropy (WPE) was the indicator of neural variability in this study. We found that prestimulus frontal WPE could predict the individuals TBW in auditory- and visual-leading conditions. In addition, increased prestimulus parietal WPE was associated with more asynchronous responses. Prestimulus frontal WPE may be associated with top-down cognitive control, while parietal WPE may be related to bottom-up cortical excitability. Furthermore, poststimulus evoked responses could mediate the relation between prestimulus WPE and the individuals TBW or perceptual responses. These results suggested that prestimulus WPE was a marker in reflecting intra-individual and inter-individual variabilities in audiovisual temporal perception. Significantly, prestimulus WPE might influence perceptual responses by affecting poststimulus sensory representations.

neuroscience↗

Not alpha power: prestimulus beta power predicts the magnitude of individual temporal order bias for audiovisual stimuli

Individuals exhibit significant variations in audiovisual temporal order perception. Previous studies have investigated the neural mechanisms underlying these individual differences by analyzing ongoing neural oscillations using stimuli specific to each participant. This study explored whether these effects could extend to different paradigms with the same stimuli across subjects in each paradigm. The two human participants groups performed a temporal order judgment (TOJ) task in two experimental paradigms while recording EEG. One is the beep-flash paradigm, while the other is the stream-bounce paradigm. We focused on the correlation between individual temporal order bias (i.e., point of subjective simultaneity (PSS)) and spontaneous neural oscillations. In addition, we also explored whether the frontal cortex could modulate the correlation through a simple mediation model. We found that the beta band power in the auditory cortex could negatively predict the individuals PSS in the beep-flash paradigm. Similarly, the same effects were observed in the visual cortex during the stream-bounce paradigm. Furthermore, the frontal cortex could influence the power in the sensory cortex and further shape the individuals PSS. These results suggested that the individuals PSS was modulated by auditory or visual cortical excitability depending on the experimental stimuli. The frontal cortex could shape the relation between sensory cortical excitability and the individuals PSS in a top-down manner. In conclusion, our findings indicated that the prefrontal cortex could effectively regulate an individuals temporal order bias, providing insights into audiovisual temporal order perception mechanisms and potential interventions for modulating temporal perception.

neuroscience↗