Biology subjects

Xu, C.

Publications and source records attributed to Xu, C..

At least 73 records · Page 4Linked to original sources

bioRxiv2026

The enhanced multi-tissue atlas of regulatory effects in cattle

Cattle are integral to global food security, yet the molecular architecture of their complex traits remains poorly understood. Here, we present the Cattle Genotype-Tissue Expression (CattleGTEx) Phase 1 resource (https://cattlegtex.farmgtex.org/), a substantial expansion of the pilot study. By leveraging 12,422 RNA-seq profiles across 43 tissues and 82 breeds, we characterized 433,972 primary and 161,428 non-primary regulatory effects spanning seven molecular phenotypes. This high-resolution atlas resolves 75% of GWAS signals for 44 complex traits, significantly addressing the "missing regulation" in livestock. We propose a genetic regulatory model demonstrating how variants across multiple biological layers interact with specific biological contexts to shape phenotypic variation. Furthermore, CattleGTEx elucidates mechanisms underlying adaptive evolution between Bos taurus and Bos indicus, as well as artificial selection in dairy and beef breeds. Finally, by mapping evolutionary constraints on these regulatory effects, we demonstrate the translational value of this resource for prioritizing causal variants in human complex diseases. Together, Phase 1 of CattleGTEx provides a transformative framework for functional genomics, precision breeding, and comparative genetics.

genetics↗

bioRxiv2026

DeSCENT: Deconvolutional Single-Cell RNA-seq Enhances Transcriptome-based Cancer Survival Analysis

MotivationAccurate cancer survival prediction requires modeling tumor heterogeneity across both population and cell levels. Most cancer survival analyses use tumor transcriptomes only, since cohorts are usually measured with bulk RNA-seq but are rarely recorded with single-cell RNA-seq. This prevents the direct use of cell-level transcriptomes in cancer survival analysis. ResultsTo bridge this gap, we propose using bulk RNA-seq deconvolution algorithms to reconstruct each subjects scRNA-seq profile from their bulk data. Then, by combining both scRNA-seq and bulk RNA-seq together with their survival labels (paired to bulk), we perform multimodal transcriptome-based survival analysis. We built this framework as DeSCENT and evaluated it with common survival models on eight TCGA cancer cohorts. Results showed notable and consistent improvements in C-index over bulk-only models or models using cellular information alone. AvailabilityOur code is available at GitHub: https://github.com/YonghaoZhao722/DeSCENT. Contactzpluo@swjtu.edu.cn; y.he@imperial.ac.uk Supplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗

bioRxiv2026

Application of the Nicking Loop™ targeted library preparation method to DNBSEQ™ sequencing

Nicking Loop is a PCR-free targeted library preparation method that combines conversion of linear target DNA into circular single-stranded DNA (CssDNA) library with early sample indexing in a single step. The resulting CssDNA libraries can be either directly sequenced or optionally amplified, offering maximum flexibility across sequencing applications. This study demonstrates the compatibility of Nicking Loop circular libraries with a MGIs DNBSEQ platform. Compatibility was evaluated against established linear Nicking Loop libraries sequenced on Illumina MiSeq platform. Using synthetic reference samples with defined variant allele frequencies, Nicking Loop method demonstrated matching performance across both library formats and sequencing platforms. Key quality metrics, including unique molecular identifier (UMI) distributions, error profiles and VAF detection, were all highly consistent. Both library types generated over 97% singleton UMIs, indicating uniform template sampling, and VAF measurements were strongly concordant across platforms (Spearmans {rho} = 0.939). Collectively, these findings demonstrate that Nicking Loop method is directly applicable to circular NGS platforms, such as DNBSEQ, strongly supporting its use as a platform-agnostic library preparation strategy for targeted sequencing applications.

molecular biology↗

bioRxiv2026

Cardiomyocyte-intrinsic SLC25A1 regulates cardiac differentiation and mitochondrial function

Cardiac morphogenesis is an intricate process that requires a precise coordination between metabolic and structural maturation, but how these processes are linked remain unclear. In previous work, we identified one candidate underlying this connection: the mitochondrial citrate carrier (SLC25A1), a critical regulator of embryonic heart development. Here, using systemic and cardiomyocyte-specific Slc25a1 deletion in mice together with SLC25A1 knockout (KO) human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs), we demonstrate that SLC25A1 functions cell-autonomously within cardiomyocytes to regulate differentiation, mitochondrial maturation, and ventricular morphogenesis. Transcriptomic analysis of SLC25A1-deficient hearts revealed dysregulation of gene programs regulating cardiomyocyte differentiation and mitochondrial function. Consistent with these changes, loss of SLC25A1 in developing cardiomyocytes impaired mitochondrial function and resulted in defective ventricular wall compaction in vivo. Likewise, SLC25A1 KO hiPSC-CMs exhibited defective cardiomyocyte differentiation, disorganized myofibrils, and immature mitochondrial organization and function in vitro. Together, our findings position SLC25A1 as a cardiomyocyte-intrinsic, cell-autonomous regulator that links mitochondrial citrate export to developmental gene programs, revealing a mitochondrial regulatory axis for cardiomyocyte maturation and cardiac morphogenesis that contributes to congenital heart disease.

developmental biology↗

bioRxiv2026

PAVR: High-Resolution Cellular Imaging via a Physics-Aware Volumetric Reconstruction Framework

The rapid convergence of advanced microscopy and deep learning is transforming cell biology by enabling imaging systems in which optical encoding and computational inference are jointly optimized for volumetric information capture and interpretation. However, broadly accessible three-dimensional imaging at high spatiotemporal resolution remains constrained by volumetric reconstruction throughput, susceptibility to artifacts, and the burden of collecting modality-matched training data. Here, we introduce PAVR, a physics-aware light-field imaging platform that integrates single-shot volumetric acquisition with fast, end-to-end volumetric reconstruction. PAVR is trained entirely using in silico system responses, avoiding reliance on external high-resolution ground-truth modalities and enabling sample-independent reconstruction across diverse biological contexts. Using fixed and live mammalian cells, we demonstrate multicolor volumetric imaging of subcellular organelles, three-dimensional tracking of autofluorescent particles, and high-speed visualization of organelle remodeling and interactions. We further extend PAVR to quantify coupled morphological and functional dynamics in beating human induced pluripotent stem cell-derived cardiomyocytes under pharmacological perturbation. Together, PAVR establishes a scalable hardware-software platform for high-throughput volumetric imaging and quantitative analysis of dynamic cellular systems in both basic and translational settings.

bioengineering↗

bioRxiv2026

Structure basis for single-strand nucleic acid targeting by IscB and variants

Transposon-encoded IscB has been established as the evolutionary ancestor of CRISPR-Cas9. This compact RNA-guided endonuclease has since been engineered for genome editing applications. We previously repurposed IscB and Cas9 as efficient RNA editors by removing their double-stranded DNA recognition module, the TAM/PAM-interacting domain. Here, we report four cryo-EM structures of IscB in complex with single-stranded nucleic acid (ssNA) targets to illuminate its mechanistic underpinnings. Structural analysis reveals that IscB initially facilitates formation of a 10-nt seed duplex with ssNA; however, further base-pairing is blocked by an alternatively positioned HNH nuclease that acts as a conformational roadblock. In this intermediate state, neither HNH nor RuvC is competent for target cleavage: the HNH domain is occluded by the roadblock configuration, while the RuvC active site is obstructed by the guide RNA. Only upon full duplex formation do additional base pairs between the guide RNA and ssNA dislodge the HNH roadblock, simultaneously exposing the RuvC nuclease active site. We propose that an analogous conformational checkpoint governs IscB activity during dsDNA target interrogation. Guided by these structural insights, we introduced mutations to either enhance ssNA binding or relieve the conformational checkpoint, both of which significantly improved RNA-targeting efficiency of IscB.

biochemistry↗

bioRxiv2026

Evolutionary dynamics of insect odorant receptors reveal ecological tuning shaping olfactory perception

Insect olfaction is facilitated by a heterotetrameric odorant receptor-odorant receptor co-receptor (OR-Orco) complex, which is distinct from that of vertebrate ORs. However, extreme sequence divergence among insect ORs has hindered a unified understanding of their evolutionary history and ecological importance. In this study, we present a multiscale analysis of OR genes across 115 insect species. We overcome the limitations of traditional phylogenetic approaches by applying a protein similarity network-based strategy and introduce a "trunk-branch" framework to systematically describe the evolutionary trajectories of insect ORs across sequence, structural, and predicted olfactory potential levels. Although they possess different sequences and structural communities, all sampled insect orders contained ORs assigned to all six docking-derived functional communities. Notably, extant insect lineages with order-level origins spanning the end-Permian mass extinction (EPME) differed in docking-derived functional OR repertoires, and early-and late-diverging lineages differed in OR sequence-community diversity. The emergence of Orco represents a key evolutionary transition point, marking the shift from a homomeric to a heteromeric complex accompanied by specialization of the extracellular domain and binding pocket. Furthermore, we established robust associations between potential olfactory recognition breadth and ecological variables, including diet, circadian rhythm, and habitat. Our findings provide a class-level framework for investigating insect OR evolution and generate testable hypotheses about how receptor repertoire diversification may relate to ecological adaptation.

evolutionary biology↗

bioRxiv2026

BEACON: predicting side effects and therapeutics outcomes to drugs by Bridging knowlEdge grAph with CONtextual language model

Biomedical knowledge graphs encode millions of relationships between drugs, proteins, pathways, and diseases, yet translating this structured knowledge into accurate predictions remains challenging. Existing deep learning approaches, including graph neural networks and knowledge graph embeddings, assign fixed representations to entities regardless of biological context, limiting their ability to capture how the same gene or pathway functions differently across scenarios. These methods also lack interpretability and often fail when applied to novel drugs outside their training distribution. Here we present BEACON (Bridging knowlEdge grAph with CONtextual language model), a framework that transforms knowledge graphs into contextual sentence representations processable by language models. BEACON converts biomedical entities into tokens and relationships into syntactic dependencies, creating "sentence trees" that preserve graph structure while enabling contextual processing. A visibility matrix ensures that attention patterns respect the underlying knowledge graph topology, and a perturbation-based evaluation module identifies the specific genes, enzymes, and pathways driving each prediction. We demonstrate BEACONs versatility through two clinically important applications. For drug sensitivity prediction in cancer cell lines, BEACON achieves 0.941 AUROC and Spearman {rho} = 0.919, outperforming existing methods (DrugCell, DeepCDR and DeepTTA). For drug-drug interaction (DDI) prediction, BEACON achieves 0.964 AUROC on the TwoSIDES benchmark and 0.84 AUROC on temporally held-out FDA adverse event data (2013-2023), demonstrating robust generalization to newly approved drugs. Applying BEACON to the BTK inhibitor acalabrutinib revealed that predicted interactions are enriched for drugs metabolized by CYP3A enzymes (OR = 3.01, P = 4.3 x 10-), a mechanism validated through network proximity analysis. BEACON provides a unified, interpretable approach to knowledge graph-enhanced biomedical prediction.

bioinformatics↗

bioRxiv2026

Classical enhancers couple cis-regulatory logic with transcriptional condensates and 3D genome architecture

Deciphering the regulatory logic of enhancers remains a central question in understanding cell- and tissue-specific gene expression in multicellular organisms. This is particularly pertinent at multipartite enhancer clusters such as super-enhancers, where multiple enhancers contribute to the expression of a single gene. Gene expression has been studied largely through sequence-dependent recruitment of transcription factors (TF) and co-activators, whereas 3D chromatin structure has been attributed to architectural proteins such as cohesion and CTCF1-3. However, the contribution of DNA sequence encoded in enhancers to shaping higher-order genome organization remains poorly understood. Here we show that classical enhancers, embedded within multipartite super-enhancer structures, act as determinant regulatory elements that initiate the gene regulatory cascade by linking DNA sequence recognition to 3D chromatin architecture. Classical enhancers are more evolutionarily conserved and display stronger regulatory activity than facilitator elements, which lack intrinsic enhancer activity but potentiate classical enhancer function. We show that classical enhancers are selectively bound by specific TFs with strong intrinsically disordered regions, such as NFE2L2 in liver cancer cells, capable of driving transcriptional condensate formation through phase separation. NFE2L2 depletion reduced enhancer activity and induced widespread chromatin reorganization, characterized by increased cohesin and CTCF occupancy at super-enhancer boundaries and beyond. This "cohesin clogging" impaired DNA loop extrusion, led to formation of smaller topologically associated domains, and weakened enhancer-promoter contacts. These findings highlight that sequence-specific TFs have multifaceted roles beyond transcriptional control, establishing a direct mechanistic link between enhancer sequence, TF binding, condensate formation, and 3D genome organization, with the regulatory logic being encoded in the DNA sequence itself.

genomics↗

bioRxiv2026

Scattering-enabled epi-quantitative phase imaging reveals subcellular detail in organoids and deep mouse brains

Imaging subcellular structures deep within thick, turbid biological tissues remains fundamentally limited by light scattering, which distorts optical wavefronts and degrades contrast, resolution, and sensitivity. These limitations hinder quantitative interrogation of complex biological systems where resolving dynamic microenvironments at subcellular resolution is critical. Here, we introduce scattering-enabled epi-quantitative phase imaging (SEEQPI), a label-free method that leverages tissue scattering and provides subcellular spatial resolution, nanometer-scale spatiotemporal phase sensitivity, and millimeter-scale imaging depth in murine brains. SEEQPI is enabled by common-path phase-shifting confocal epi-interferometry with near-infrared illumination and the scattering-enabled phase reconstruction algorithm. SEEQPI requires low illumination power, minimizing tissue damage while enabling high-speed imaging of biological dynamics. We demonstrate simultaneous, colocalized imaging of subcellular structures with SEEQPI, third-harmonic generation, and three-photon fluorescence microscopy in liver cancer spheroids and in vivo mouse brains. SEEQPI enables quantitative, longitudinal studies of dry mass dynamics in intact, living biological systems.

bioengineering↗

bioRxiv2025

Structural Insights into Single-Stranded DNA Recognition and Modified Substrate Tolerance in an Engineered Terminal Deoxynucleotidyl Transferase

Terminal deoxynucleotidyl transferase (TdT) is the cornerstone enzyme for de novo enzymatic DNA synthesis (EDS), promising to overcome the length and sustainability limitations of traditional phosphoramidite chemistry. We previously identified a highly active TdT ortholog from Zonotrichia albicollis (ZaTdT) and engineered a variant (R335L/K337G) capable of efficiently incorporating 3-aminooxy (3-ONH2) reversible terminators. However, the atomic-level mechanism by which these engineered mutations alter substrate specificity has remained elusive. Here, we present the high-resolution (2.20 [A]) crystal structure of the engineered ZaTdT in complex with a single-stranded DNA primer. Structural analysis reveals a conserved catalytic core anchored by a hydrophobic platform (Phe110/Phe257/Trp308) that stabilizes the primer. Crucially, comparative modeling with the homologous murine TdT ternary complex demonstrates that the engineered mutations (corresponding to L190/G192 in the crystal structure) disrupt a rigid salt-bridge network at the active site entrance. This electrostatic remodeling not only reduces local positive charge but also expands the catalytic pocket depth from 3.8 [A] to 5.8 [A]. This specific spatial expansion provides the structural rationale for the accommodation of bulky 3-blocking groups, validating our rational design strategy and paving the way for next-generation long-read DNA synthesis.

biochemistry↗

bioRxiv2025

Structural Mechanism of Specific Nucleobase Recognition by a Monoclonal Antibody in CoolMPSTM Sequencing

Massively parallel sequencing (MPS) has revolutionized genomics, yet traditional methods utilizing fluorescently labeled nucleotides suffer from "scarring" effects that limit read accuracy. The CoolMPS technology overcomes this by using unlabeled reversible terminators (RTs) with a 3-O-azidomethyl blocking group, detected by highly specific fluorescent antibodies. However, the atomic-level mechanism by which these antibodies discriminate between modified and natural nucleotides within a DNA strand remains unclear. Here, we report the crystal structures of the "A-fab" antibody fragment in complex with the monomeric antigen 3-O-azidomethyl-dATP (dATP-N3) at 2.50 [A] resolution, and with an one strand of the duplex carries an azide-modified deoxyadenosine nucleotide at its 3' terminus (dsDNA-dATP-N3) at 1.99 [A] resolution. Isothermal titration calorimetry (ITC) revealed that A-fab binds dATP-N3 with nanomolar affinity (KD{approx}17.14 nM), while binding to natural dATP is negligible (KD{approx}7.51{micro}M), representing a [~]440-fold specificity. Structural analysis reveals a conserved hydrophobic pocket formed by CDR residues (e.g., Trp79, Tyr53, Leu67) that specifically accommodates the 3-azidomethyl group. This interaction is critical for affinity and is maintained in the dsDNA-ATP-N3 complex, validating the antibodys function in a sequencing context. These findings provide the structural rationale for the high fidelity of the CoolMPS platform.

biochemistry↗

bioRxiv2025

Stress-induced loss of CTCF reveals an alternative, promoter-based mode of cohesin looping

Cells continually face environmental stressors that challenge homeostasis, yet how three-dimensional (3D) chromatin structure contributes to these stress responses remains unclear under hyperosmotic conditions. To investigate this, we map 3D chromatin structure, its molecular drivers, and transcriptional outcomes during sorbitol-induced hyperosmotic stress. Within 1 hour of sorbitol treatment, pre-existing loops and domains collapse, while several hundred de novo sorbitol-induced loops emerge. These loops are punctate, longer-range, and transient. 3D chromatin structure largely returns to baseline conditions by 24 hours. Loop reorganization is consistent across cell types and hyperosmotic stimuli. Sorbitol-induced loops require cohesin but not CTCF, and anchors are enriched at active promoters harboring GC-rich transcription factor motifs. Genes at these anchors show delayed activation following loop formation, consistent with loops acting upstream of transcription. Together, hyperosmotic stress triggers rapid, reversible, CTCF-independent chromatin reorganization that correlates with transcriptional adaptation.

genomics↗

bioRxiv2025

Cystathionine Beta-Synthase Promotes Anoikis Resistance and Transcoelomic Metastasis in Ovarian Cancer via the SP1-ITGB1 axis

Anoikis resistance is crucial for ovarian cancer (OvCa) transcoelomic metastasis, during which exfoliated OvCa cells survive as spheroids before invading the omentum. Here, we demonstrate that cystathionine {beta}-synthase (CBS), an H2S-producing transsulfuration pathway enzyme, is a key determinant of OvCa spheroidal viability and metastatic potential. Analysis of publicly available patient datasets, as well as an in-house tissue microarray, revealed that high CBS expression positively correlates with both poor progression-free survival and clinically observed peritoneal/omental metastasis. Integrated functional and proteomic analyses indicated that CBS silencing induces apoptosis in 2D monolayers. Consistent with this, CBS silencing in spheroids caused apoptosis and disrupted spheroid architecture. Mechanistically, this phenotype was associated with downregulation of oncogenic stemness and epithelial-mesenchymal transition. Further, through proteomic and bioinformatic analyses, we identified ITGB1 to be the hub protein in OvCa spheroidogenesis. Interestingly, knockdown of CBS led to abrogation of the ITGB1-mediated downstream pathway. Moreover, by proteomic and network analyses, we identified SP1 as a key transcriptional regulator of CBS-induced pro-spheroidal transcriptional programs of stemness and invasiveness. Stabilization of SP1 through persulfidation by H2S supplementation restored spheroidal viability and underlying protein signaling. Further, our results reveal that loss of CBS, through ITGB1 repression, disrupts spheroid architecture, leading to reduced metastatic docking on the murine omental surface in vivo. Collectively, these findings identify CBS as a central regulator of anoikis resistance and OvCa transcoelomic metastasis, highlighting the therapeutic potential of targeting CBS-dependent SP1-ITGB1 regulation to control metastatic spread.

cancer biology↗

bioRxiv2025

Structural Basis of Asymmetric Class C GPCR activation and distinct Gq coupling induced by force stimulation

Mechanosensation is essential for diverse physiological processes. While many G protein-coupled receptors (GPCRs) are known to be mechanosensitive, the underlying mechanism remains largely unknown. Here, we reveal that mechanical force induces Gq activation of mGlu2, a balance modulator residing in kinocilia, but not other 7 mGlu members. Force activates mGlu2 through a conserved N-terminal force transduction motif (FTM) via a unique cis mechanism. We engineered a potent FTM-derived peptide agonist that recapitulates force-induced activation and resolved cryo-EM structures of apo-mGlu2, FTM-mGlu2, LFTM-{Psi}EK-mGlu2 and LFTM-{Psi}EK-mGlu2-Gq. The structures reveal that an atypical FTM binding to a previously uncharacterized pocket induces asymmetric 7TM domain rearrangement, enabling Gq coupling via an ICL1-TM3/6/7 interface, fundamentally distinct from the glutamate-induced Gi coupling mode of mGlu2. Compared with Gi-coupled mGlu2, the 5 helix of Gq rotated by 180{degrees}, penetrating deeper (8 [A]) into a hydrophobic pocket. Disruption of the M7947.32-F7806.57-F7766.53 hydrophobic triad core and a conformational propagation path predominantly comprising TM6-7 residues are identified as key elements mediating force induced mGlu2 activation. Further In vivo rescue experiments support that mGlu2s mechanosensitivity is dependent on FTM and is required for vestibular function. This work establishes a paradigm for class C GPCR mechanotransduction, revealing unprecedented structural mechanisms underlying force-induced Gq coupling and offering a chemical toolset to modulate mechanical signaling of GPCR.

cell biology↗

bioRxiv2025

From genomic decay to functional advantage: Trait-based evidence for long-term host residency of a next-generation coral probiotic

A key bottleneck in microbiome engineering is ensuring the long-term host association of introduced microbes. Selecting probiotic candidates based on evolutionary genomic decay signatures of emerging host dependency offers a potential solution. The Ruegeria strain B4 of the population MC10, identified by such signatures, has shown persistent colonization in corals in a companion study. Whether this persistence translates into a measurable host benefit compared to other coral-associated Ruegeria strains, and which mechanisms underlie such benefit, remained unknown. Here we directly compare the probiotic efficacy of MC10-B4 against two sympatric Ruegeria strains isolated from the same coral colony and mucus compartment, controlling for host genotype and microenvironment. MC10-B4 inoculation significantly increased heat stress tolerance in the coral model cnidarian Aiptasia (Exaiptasia diaphana strain H2), outperforming both sympatric control strains. To understand the mechanistic basis of this probiotic efficacy, we characterized the functional profile of MC10 using an integrated multi-omics approach. The genome of MC10 is enriched in genes associated with host-interaction, including siderophore-mediated iron acquisition and exopolysaccharide biosynthesis, which were phenotypically confirmed by detectable iron scavenging and enhanced biofilm formation. Following exposure to coral tissue extract, MC10-B4 underwent a coordinated motility-to-sessility proteomic reprogramming, downregulating flagellar motor components while upregulating flagellin and biofilm regulators. This response was distinct from its sympatric relatives, which instead mounted broad upregulation of nutrient acquisition systems. MC10-B4s functional profile, particularly its sensitivity to oxidative stress, contrasts with the traits typically favored in conventional probiotic screens. Our results move beyond the descriptive identification of a coral probiotic by providing initial mechanistic insight into traits associated with long-term host association and improved thermal performance. These findings validate an evolution-guided approach that prioritizes innate colonization potential over pre-defined laboratory functionalities, informing the rational design of durable probiotics.

microbiology↗

bioRxiv2025

De Novo Computational Design of VHH Nanobodies Against LGR5

VHH discovery traditionally relies on animal immunization or large-scale library screening, methods that are slow, costly, and often ineffective for challenging targets such as GPCRs. We present a fully de novo computational pipeline for epitope-directed VHH design, integrating generative backbone modeling, deep learning-based sequence optimization, and iterative experimental feedback. Using LGR5 as a model, we progressed from in silico design to functional binders without structural templates. Across three design-test-learn cycles, millions of candidates were reduced to epitope-specific binders with nanomolar affinity and high thermal stability (melting temperature [Tm] > 65 {degrees}C). Cryogenic electron microscopy (cryo-EM) confirmed atomic-level agreement (RMSD {approx} 2.2 [A]). This structure-validated approach accelerates timelines, reduces cost, and is broadly applicable to GPCRs and other membrane proteins, enabling "on-demand" therapeutic antibody generation.

bioengineering↗

bioRxiv2025

Dynamic alterations of DNA methylation and transcriptome in adaptation to and recovery from the space environment

Space exploration presents tremendous health challenges. Here, we report time series of multi-omic and phenotypic profiles of seventeen astronauts from six China Manned Space missions with continuous spaceflight durations ranging from 13 to 180 days. We revealed a key role of DNA methylation regulation in reshaping gene expression patterns to adapt to the space environment. Long-duration spaceflight showed more alterations in epigenetic modifications correlated with alternative splicing and protein acetylation. During recovery, an "overrange rebound" phenomenon was observed, furthermore, a mathematical model was established to describe this implying important phenomenon. Moreover, we revealed the correlations between molecular alterations and phenotypic changes such as coagulation activation and bone intensity loss. Additionally, we performed ground-based simulation experiments to estimate the impacts of individual stressors in the space environment on DNA methylation. In summary, our study highlights the importance and complexity of epigenetic regulation in adaptation to and recovery from the space environment.

genomics↗