Biology subjects

Zheng, C.

Publications and source records attributed to Zheng, C..

At least 19 recordsLinked to original sources

bioRxiv2026

Glioblastoma Hijacks Astrocyte Ribosomes to Feul Malignancy through Translatome Reprogramming

Cancer cells demand elevated protein synthesis, yet whether they directly requisition ribosomes from microenvironmental host cells remains unknown. Here, utilizing in vivo and in vitro ribosome tracing, we show that glioblastoma (GBM) cells hijack ribosomes from surrounding astrocytes via tunneling nanotube-like structures. This transfer supports GBM malignancy in both murine and patient derived models. Single cell RNA sequencing along with whole cell and cell source traceable ribosome profiling reveal that transferred ribosomes are translationally active and selectively reprogram the tumor translatome, prioritizing cell-cycle genes and driving interferon-response-mediated immune evasion. Through a genome wide CRISPR screen, we identify INTS12 as a critical mediator of ribosome transfer. Genetic inactivation or AAV-mediated knockdown of INTS12 impairs ribosome uptake, curbs translation and proliferation, remodels the immunosuppressive landscape, and extends survival in orthotopic models. Our study uncovers a parasitic translation-support mechanism in GBM, establishing INTS12 as a therapeutic vulnerability to disrupt ribosome transfer.

cancer biology↗

bioRxiv2026

Integrating Multisource Target Evidence with Machine-Learning Potency Prediction for Alzheimer's Disease Drug Discovery

Alzheimer's disease (AD) target evidence is distributed across biological, chemical, structural, regulatory, and trial-registry sources, complicating reproducible target evaluation and modeling. We developed a traceable data-to-model platform that integrates AGORA-centered evidence through Target Explorer, Drug-Target Lookup, and Model Portfolio workspaces. The resource contains 967 targets, 452,249 compounds, and 1,430,260 measurements. On a curated PIK3CA dataset, target-specific fine-tuning of the Boltz-2 affinity head increased Pearson r from 0.248 to 0.560 and reduced mean absolute error from 0.900 to 0.706 on 469 held-out compounds. Separately, we screened 42 regression models over 50 random splits for ten moderate-sized target datasets; a random forest model for XDH achieved the highest mean R^2 (0.815). The platform connects curated evidence, model-ready datasets, reproducible evaluation, and public results while clearly separating contextual evidence from therapeutic claims and random-split performance from generalization to unseen chemical scaffolds.

bioinformatics↗

bioRxiv2026

ZBTB7B is a Master Regulator of Salivary Acinar Cell Function

Salivary glands exhibit transcriptional programs that distinguish them from other tissues, yet the upstream regulatory logic underlying these programs is not well defined. To identify transcription factors (TFs) that structure salivary identity, we generated RNA-seq and ATAC-seq from human major and minor salivary glands and inferred TF[->]TF regulatory edges from high-confidence chromatin footprints. ZBTB7B emerged as the most connected regulator across salivary samples. To locate regulatory regions associated with salivary-specific transcription, we trained hidden Markov models (HMMs) on chromatin accessibility across 4 Mbp windows surrounding salivary-specific and non-salivary-specific transcription start sites. The resulting chromatin states distinguished promoter-proximal openness from distal enhancer activity and identified salivary-specific enhancers enriched for ZBTB7B motifs. These enhancer states correlated strongly with expression of salivary genes, including AQP5, indicating that distal regulation contributes substantially to salivary transcriptional specificity. To assess the consequences of losing Zbtb7b, we performed single-cell RNA-seq and spatial transcriptomics on submandibular and parotid glands from Zbtb7b knockout mice. Knockout mice exhibited reduced salivary flow, shifts in acinar cell proportions, and the emergence of a neonate-like acinar population characterized by loss of canonical secreted proteins and increased expression of MHC class I genes. These transcriptional and cellular changes occurred despite preserved gland architecture, suggesting that Zbtb7b stabilizes adult acinar identity rather than supporting structural maintenance. Together, these data identify ZBTB7B as a master regulator of salivary transcriptional networks, acting through both promoter-proximal and enhancer-level mechanisms, and demonstrate that loss of Zbtb7b disrupts acinar identity and impairs salivary function.

genomics↗

bioRxiv2026

DEPICT enables sample-centric therapeutic prioritization across evolving and spatially heterogeneous tumor states

Accurate treatment selection remains a major challenge in precision oncology because tumors with similar genomic alterations can respond differently to therapy. Most drug-response models evaluate individual drugs or drug-sample pairs, whereas clinical decision-making requires therapies to be prioritized within each tumor context. Here we present DEPICT (Drug Efficacy Prediction via Integrated ConText), a sample-centric deep learning framework that reframes drug-response prediction as the relative prioritization of therapies within an individual tumor context. DEPICT integrates transcriptomic and mutational features with prior alteration-therapy relationship and was trained on 231,880 cell line-drug pairs comprising 941 cancer cell lines and 289 compounds. Without retraining, DEPICT retained predictive performance in independently profiled cell lines, experimentally induced drug-resistant states and matched primary lung tumors and patient-derived organoids. Representations learned exclusively from bulk pharmacogenomic data further captured progressive drug-response states at single-cell resolution and outperformed existing single-cell drug-response inference methods. Applied to spatial transcriptomic data, DEPICT resolved clone-associated therapeutic heterogeneity within individual lung tumors, and predicted regional differences were recapitulated in matched multiregional organoid drug-response assays. These findings establish sample-centric therapeutic prioritization as a transferable strategy for modeling dynamic and spatially heterogeneous drug vulnerabilities across biological scales.

bioinformatics↗

bioRxiv2026

Spatial Sampling and Temporal Dynamics Shape Motor Decoding from Broadband Intracortical Signals

Objective. Neural decoding performance depends strongly on neural signal representation; however, how the informative components of broadband intracortical activity vary with electrode configuration and decoding strategy remains unclear. We systematically compared the neural features spanning multiple temporal scales to identify the factors underlying robust motor decoding. Approach. Neural recordings were obtained from the dorsal premotor cortex, primary motor cortex, and dorsolateral prefrontal cortex of rhesus monkeys performing delayed-reaching tasks toward static or moving targets. Signals were recorded using 64-channel linear S-probes or 96-channel planar Utah arrays. We compared spiking-band power (SBP), local motor potential (LMP), and local field potential (LFP) power across multiple frequency bands using linear and nonlinear decoders. We further characterized the spectral and temporal components contributing to LMP decoding and evaluated the channel redundancy. Main results. The decoding performance of the SBP and high-frequency LFP features scaled with the number of recorded single units, whereas the LMP performance was more strongly influenced by the electrode geometry. LMP achieved a higher decoding performance with planar Utah arrays than with linear S-probes, accompanied by lower inter-electrode correlations and greater variability in preferred directions. Spectral analysis showed that LMP decoding was dominated by low-frequency components overlapping the delta band and movement-related cortical potentials, with an optimal decoding range of approximately 0.1-8 Hz. Nonlinear temporal decoders, particularly the convolutional neural network and gated recurrent unit models, further improved LMP decoding. Significance. These findings demonstrate that the neural features most informative for motor decoding depend on both the spatial sampling configuration and the temporal structure of the recorded activity. The results highlight the importance of low-frequency population dynamics and provide principles for optimizing neural-signal representations and reducing redundant neural data for scalable and wireless brain-computer interfaces.

neuroscience↗

bioRxiv2026

Surface-stabilized sub-micron condensates for compartmentalizing synthetic cells and enhanced enzyme kinetics

Living cells harbor numerous membraneless organelles (MOs), which are dynamic protein/nucleic acid assemblies responding to specific physicochemical triggers. Liquid-liquid phase separation (LLPS) plays a crucial role in their formation and activity. Inspired by the natural MOs that maintain their individual identities, this work presents a bioengineering strategy to generate LLPS-driven, isochemical MO populations using surfactant-like peptides that stabilize the MO interface. The result is highly stable, monodispersed, sub-{micro}m-sized MO populations, which are not only capable of compartmentalizing synthetic cells but also provide superior environments for enzymatic reactions. This is achieved using pH-responsive elastin-like polypeptides (PREs) as MOs and formulating an amphiphilic PRE-based peptide to stabilize the MO interface. Relative abundance of the surface-active peptide, as well as the rate of pH change, allows direct control over the MO size. Encapsulating these components within synthetic vesicles using a microfluidic platform leads to on-demand multi-compartmentalization via an external pH trigger. Lastly, a functional consequence of the acute size control is shown through a phosphatase reaction, where the highest reaction rate is observed in size-controlled MOs when compared to dilute environments and surfactant-free MOs. The presented strategy provides a new avenue for designing programmable MOs and thus achieve functional compartmentalization within synthetic cells.

bioengineering↗

bioRxiv2026

Integrated pangenome and population genomics reveal selection on standing genetic variation driving fiber flax-linseed divergence

Flax (Linum usitatissimum L.) has been domesticated for dual end uses as linseed and fiber flax, yet the genomic basis of morphotype divergence remains unclear. Here, we constructed a morphotype-resolved pangenome by integrating three newly generated near telomere-to-telomere genome assemblies with 14 previously published ones. Despite substantial variation in assembly size, driven primarily by DNA transposons, gene content was highly conserved, with little evidence for significant morphotype-specific gene presence-absence variation. Population genomic analyses of 407 accessions revealed that fiber flax had reduced nucleotide diversity, extended linkage disequilibrium, and a more compact population structure relative to linseed, consistent with stronger selection and a narrower genetic base. Genome-wide differentiation was heterogeneous and concentrated in discrete regions. Integration of FST, nucleotide diversity ratios, Tajimas D, and genome-wide association signals identified morphotype-enriched genomic blocks distributed across the genome. Many candidate regions are primarily supported by directional shifts in nucleotide diversity rather than extreme differentiation, indicating selection on standing genetic variation. Genome-wide association analyses identified 1,712 unique quantitative trait nucleotides (QTNs), with predominantly small effect sizes and strong enrichment in gene-proximal regions, consistent with a polygenic architecture. Overall, fiber flax traits tend to be controlled by fewer loci with moderate-to-large effects, whereas linseed traits exhibit a more diffuse genetic architecture. Patterns of Tajimas D further support non-classical selection dynamics, with predominantly positive values in linseed and localized negative values in fiber flax, consistent with selection on standing genetic variation. Together, our results suggest that flax morphotype divergence is driven primarily by selection on pre-existing allelic variation within a conserved gene repertoire. This study provides a comprehensive framework linking genome structure, population genomics, and trait architecture, and highlights the importance of standing genetic variation as a key resource for flax breeding and improvement.

genomics↗

bioRxiv2026

Integrative single-nucleus multi-omics profiling identifies candidate regulators and signaling axes in Alzheimer's disease lipid-processing microglia

Lipid-processing microglia are among the microglial states most strongly associated with Alzheimers disease (AD) pathology, yet whether this association reproduces across independent cohorts, what transcriptional programs define the state, and which upstream signals and small molecules can modulate it remain unsolved. We address these questions through a cross-cohort analysis of one such substate (MG4) by integrating differential expression, transcription factor activity inference, gene set enrichment, and cell-cell communication across five independent single-nucleus RNA sequencing cohorts (ntotal = 140 donors), with paired single-nucleus ATAC sequencing in one multi-omic cohort for epigenomic corroboration. A held-out cohort (n = 150 donors) supported donor-level regression of MG4 proportion on ligand expression, and two spatial transcriptomics datasets (ntotal = 30 donors) related ligand expression to MG4 identity in neighboring spots. MG4 was reproducibly enriched in AD across all five cohorts (pooled log2 fold change = 0.90, p = 3.0 x 10-4). Expression-based inference and motif accessibility jointly nominated MITF and BACH1 as regulators of a program led by V-ATPase-driven lysosomal acidification and cholesterol efflux, a lysosomal-biogenesis signature distinct from the catabolic DAM and lipid-storage LDAM programs, with AD-specific upregulation of energy metabolism. FGF1 and TGFB2 were the most supported candidate upstream ligands, each significant in donor-level regression with further spatial evidence. Computational drug repurposing nominated ten blood-brain barrier-penetrant compounds as perturbational probes. Together, these results advance a described disease-associated microglial state into a reproducible, mechanistically framed regulatory model, providing candidate regulators, upstream ligands, and pharmacological probes for functional validation.

bioinformatics↗

bioRxiv2026

Evolutionary dynamics of Aegilops revealed through comparative genome assembly of all 25 species

Aegilops species are the closest wild relatives of wheat and an important reservoir of genetic diversity for its improvement. Despite their potential, many Aegilops genomes remain poorly characterized. Here we present high-quality assemblies of 18 diploid, tetraploid, and hexaploid Aegilops genomes, which, along with the previously published genomes, complete the production of reference assemblies for all 25 genomes in this genus. Assembly sizes ranged from 5.24 Gb in diploids to 12.65 Gb in hexaploids, with scaffold N50 values up to 749.2 Mb. Gene annotation identified 53,035-156,779 protein-coding genes, of which 21,865-60,490 were classified as high-confidence. Orthogroup-based pangenome analysis across the 25 Aegilops genomes identified 80,521 orthogroups, including 15,809 core, 61,735 dispensable, and 2,977 species-specific orthogroups, highlighting substantial gene content variation among genomes. Phylogenetic analysis of 63 Triticum and Aegilops genomes/subgenomes based on near single-copy orthologs defines the phylogenetic relationships within the Triticum/Aegilops complex and confirms diploid progenitors of polyploid lineages. Ae. mutica (T) and Ae. speltoides (S) belong to the B lineage while the remaining Sitopsis grouped within the D lineage. Structural variation analyses using diploid progenitors as references revealed extensive large-scale rearrangements following polyploidization, emphasizing the dynamics of their evolution. Transposable element (TE) annotation further highlighted subgenome-specific TE expansions and contractions, providing insights into the mechanisms shaping genome structure after polyploidization. Collectively, these genomic resources provide a comprehensive framework for exploring Aegilops diversity, understanding polyploid evolution, and accelerating wheat improvement.

genomics↗

bioRxiv2026

Dissociation between impaired explicit spatial remapping and preserved implicit neural dynamics in Alzheimers disease

The hippocampus supports spatial memory by dynamically integrating external sensory inputs with intrinsic neural circuit dynamics during novel experience. In Alzheimers disease (AD), despite impaired hippocampal spatial remapping, spatial learning and memory abilities can remain partially preserved, a phenomenon consistent with cognitive resilience (Gomez-Isla and Frosch 2022, Jia, Xu et al. 2025). However, the hippocampal ensemble coding patterns associated with these preserved learning and memory abilities remain remains unclear. We hypothesize that intrinsic temporal structures of neuronal firing continue to facilitate the encoding of new spatial information. Using the AppNL-G-F rat model, we longitudinally tracked hippocampal CA1 activity during a familiar-novel context alternating task. We found a dissociation between impaired explicit spatial coding and preserved implicit temporal coding in the AD hippocampal network. Explicit spatial coding was impaired, as place cells showed weak discrimination between distinct contexts and failed to improve with learning. In contrast, implicit temporal coding exhibited learning-dependent refinement, with cofiring dynamic becoming increasingly context-specific across long-term experience. Further analysis suggested that the enhancement of implicit cofiring may be associated with the increased consistency of neural ensemble reactivation during sharp wave ripples in awake rest. Taken together, these findings reveal an explicit-implicit dissociation in the AD hippocampal network, suggesting that the learning-dependent refinement of implicit temporal coding may support preserved learning capacity despite impaired spatial remapping.

neuroscience↗

bioRxiv2026

Multimodal 3D light-field and laser-speckle endoscopy

Minimally invasive surgery is a powerful technique that enables operations deep within the body while minimizing patient trauma and recovery time. Optical endoscopes are key to providing intraoperative vision but still face challenges due to the loss of essential senses, including depth perception and tactile feedback for tissue evaluation. Thus, it is critical to develop endoscopic imaging technologies that can augment operators with critical information. In this work, we explore a prototype multimodal 3D imaging endoscope that integrates volumetric light-field imaging with laser-speckle contrast imaging to simultaneously capture 3D structure and blood-flow information in a clinically relevant form factor.

bioengineering↗

bioRxiv2026

TRIM52 downregulates IFN-β production by targeting TBK1 for proteasome degradation.

The IFN-I (type I interferon) signaling pathway is the first line of defence against foreign pathogens. Stringent control of signalling pathways is necessary to maintain host immune responses and homeostasis. However, the underlying mechanism for its tight regulation is yet completely understood. In this study, we demonstrated that the TRIM family protein tripartite motif-containing 52 (TRIM52) is a novel negative regulator of IFN-{beta} production. Ectopically expressed TRIM52 markedly inhibited the activation of the IFN-{beta} promoter by ectopic expression of cGAS/STING, RIG-IN, or TRIF, MAVS, STING, and TBK1 but not by IRF3/5D, indicating that TRIM52 targets TBK1. TRIM52 also significantly inhibited the IFN-{beta}, ISG54, and ISG56 production, the dimerization of IRF3 and the nuclear localization of IRF3-YFP induced by ectopic expression of TBK1. Co-immunoprecipitation experiment revealed that TRIM52 specifically interacted with TBK1. Furthermore, the TBK1 protein, but not its mRNA, decreased considerably with increasing expression of TRIM52, and TRIM52 did not decrease the expression of the cGAS, STING, or IRF3 proteins. In addition, proteasome inhibitor MG-132 blocked the reduced TBK1 induced by TRIM52, indicating that TRIM52 caused TBK1 degradation via the proteasome pathway. Co-IP and ubiquitination assays demonstrated that TRIM52 promotion of K48-linked ubiquitination of TBK1, which depends on its E3 ubiquitin ligase. Collectively, our findings identify a previously unrecognized role of TRIM52 in regulating the IFN-I signalling pathway through targeting TBK1 for polyubiquitination and degradation.

immunology↗

bioRxiv2026

The HSV-1 immediate early protein ICP22 interacts with the human antisense function 1 protein to promote viral replication

Herpes simplex virus type 1 (HSV-1) is a common human pathogen that undergoes lytic replication in epithelial and other permissive cell types and can establish latency in peripheral neurons. ICP22 is a multifunctional HSV-1 immediate-early protein that localizes to the nucleus of infected cells; however, its interactions with host cellular factors remain incompletely understood. Here, ICP22 was demonstrated to interact with the human antisense function 1 protein (ASF1), including both ASF1a and ASF1b, in transfected cells and HSV-1-infected cells, respectively. ICP22 also colocalized with ASF1 in the nucleus. ICP22 amino acids 213 to 340 are important for the interaction of ICP22 with ASF1, whereas amino acids 37 to 153 of ASF1a and ASF1b are critical for their interactions with ICP22. Furthermore, ICP22 expression was associated with reduced ASF1-H3.1 co-immunoprecipitation under the tested conditions. ASF1 knockdown also reduced HSV-1-BAC-Luc luciferase output, indicating that ASF1 contributes to efficient infection-associated reporter activity in this study. Collectively, these results indicate that the interaction of HSV-1 ICP22 with ASF1 might help regulate the transcription of viral or cellular genes during HSV-1 infection.

microbiology↗

bioRxiv2026

Structural basis of substrate recognition and allosteric inhibition in human B0AT2

The SLC6 family is a major target for neuropsychiatric therapeutics. Human B0AT2 (SLC6A15) regulates amino acid homeostasis and glutamatergic transmission and is linked to major depressive disorder, yet its transport and inhibition mechanisms remain unclear. Here we report cryo-EM structures of B0AT2 in apo state and in complex with substrates (proline, leucine, methionine) and inhibitors (loratadine, tiagabine), capturing outward-open, early substrate-bound intermediate, outward-occluded, and inward-open conformations along the transport cycle. These structures reveal an early substrate-sensing mechanism at the substrate-binding pocket (S1), where a substrate-dependent rotameric switch of Phe308 remodels pocket geometry to tune substrate accommodation and selectivity. Loratadine stabilizes an outward-occluded state via allosteric inhibition at the extracellular S2 pocket, whereas tiagabine stabilizes the inward-open state through cooperative multi-site inhibition involving S1 and two previously unrecognized intracellular cavities (S3 and S4). Together with functional assays, these data define the molecular basis of B0AT2 substrate selectivity and state-dependent inhibition. Notably, the two intracellular cavities are conserved across SLC6 transporters, reflecting a shared intracellular vestibular architecture and enabling rational design of conformation-selective modulators for neuropsychiatric disorders.

biophysics↗

bioRxiv2026

Creatine kinase regulates energy metabolism and growth of trophoblasts

Study questionDoes the human placenta utilize the creatine phosphagen system for energy homeostasis during development? Summary answerComponents of the creatine (Cr)-creatine kinase (CK)-phosphocreatine (PCr) system are dynamically expressed by the trophoblast and mesenchymal compartments throughout gestation wherein creatine kinase is required for cellular ATP metabolism, cell cycle, and proliferation of trophoblast cells. What is known alreadyThe Cr-CK-PCr system maintains ATP homeostasis in tissues with high energy demand and is required for proliferation, migration, and invasion of tumor cells. The term human placenta can synthesize and transport creatine locally. Early placental development involves trophoblast proliferation, an event requiring ATP, but the role of the creatine phosphagen system during early placental development remains unknown. Study design, size, durationWe performed immunohistochemistry (IHC) and immunofluorescence (IF) for different components (biosynthesis, transport, utilization) of the Cr-Ck-PCr system in human placentae (n=3/group) across gestation including first trimester, second trimester, and term. Using primary human trophoblast stem cells (hTSCs) and trophoblast organoids (TO), we determined the role of the creatine phosphagen system in trophoblast growth by functional inhibition of creatine kinase. Participants/materials, setting, methodsIHC/IF were performed in human placentae across gestation for proteins involved in biosynthesis (AGAT and GAMT), transport (SLC6A8, SLC22A15, and SLC6A13) and utilization (CKB and CKMT1) of creatine to determine the presence of the creatine phosphagen system locally in the placenta. For delineating the functional importance of this system in placental development, cyclocreatine (cCr), a creatine analogue, was used for functional inhibition of CK. Primary hTSCs were culture in medium containing 0 (control), 1, 10, 20 mM cCr for 48 hours followed by analysis of cell growth (cell count), cell cycle (EdU incorporation assay), apoptosis (Annexin V/PI flow cytometry), energy metabolism (Sea horse mito-stress and glycolytic stress tests), and gene expression (qPCR). Primary TO were also treated with 20mM cCr for 6 days in vitro to determine the role of Cr-CK-PCr system in placental development. Main results and the role of chanceAGAT localized to the fetal villous mesenchyme, while GAMT was broadly expressed in the trophoblast and fetal mesenchyme compartments across gestation. CKB localized primarily to fetal mesenchyme with strongest expression at term. CKMT1 was broadly expressed in all trophoblast subtypes. SLC6A8 was abundant in early syncytiotrophoblast but absent at term, where its expression shifted to fetal blood vessels. SLC22A15 was expressed in the endothelial cells of fetal capillaries across gestation. In primary hTSCs, cyclocreatine (20mM) treatment reduced proliferation (P<0.001), decreased expression of trophoblast epithelial marker EGFR (P<0.05), induced G0/G1 and G2/M arrests (P<0.0001), enhanced early and late apoptosis (P<0.0001), and downregulated GPX8 expression (P<0.05). Seahorse analysis revealed marked reductions (P<0.01) in mitochondrial (basal, maximal, and ATP-linked) and glycolytic (rate, capacity, and reserve) function compared to controls. In primary human TO, cyclocreatine treatment reduced the growth of organoids (P<0.05) as well the expression of EGFR (P<0.05). Large scale dataN/A Limitations, reasons for cautionFurther experiments assessing apoptosis, cellular stress and redox imbalance may provide more mechanistic role of the creatine phosphagen system in trophoblast metabolism and function. Since the functional role of the Cr-CK-PCr system was investigated in vitro, findings of this study should be taken with caution for implications of in vivo placental development. Nevertheless, reproducible results of reduced growth of trophoblast cells using both 2D and 3D cultures is highly suggestive of the importance of the creatine phosphagen system in early placental development. Wider implications of the findingsThis study provides foundational knowledge that the placenta contains the creatine phosphagen system, known for ATP homeostasis, and that this system ensures proper cell division, survival and placental development. Dysregulation of components of Cr-CK-PCr system in placenta has been observed in pregnancy disorders such as preeclampsia and fetal growth restriction warranting continued investigation into mechanisms and potential remediation using creatine supplementation. Stem cells share similar metabolic features so findings of this study can be implicated in other stem cells models as well. Study funding/competing interest(s)This work was supported by CIRM EDUC4-12804 Interdisciplinary Stem Cell Training Grant and a Lalor Foundation Postdoctoral Fellowship awarded to NS, and by the California Institute for Regenerative Medicine (DISC0-13757) and the National Institute of Child Health and Human Development (R01-HD096260) award to FS. The authors have no competing interest to declare.

physiology↗

bioRxiv2026

Near telomere-to-telomere Linum genomes reveal a lineage-specific DNA transposon associated with chromosome architecture remodeling

Chromosome number variation and structural reorganization are key drivers of plant evolution, yet their genomic basis remains unclear due to incomplete representation of repetitive regions in existing assemblies. The Linum genus exhibits exceptional karyotypic diversity (n = 7-43), providing a powerful system to investigate chromosome evolution. Here, we generated near telomere-to-telomere (T2T) genome assemblies for four species, including cultivated flax (L. usitatissimum cv. CDC Bethune; n = 15), its wild progenitor (L. bienne; n = 15), and two related species (L. decumbens and L. grandiflorum; n = 8). Together with published genomes of L. lewisii (n = 9) and L. tenue (n = 10), these enabled reconstruction of chromosome evolution across six lineages. Phylogenomic analyses revealed a shared ancestral whole-genome duplication (WGD) associated with the n = 9 karyotype, followed by lineage-specific WGDs and divergent diploidization. The transition from n = 8 to the derived n = 15 flax lineage not only occurred without chromosome length expansion, but also with genome size reduction, indicating extensive internal restructuring. Comparative analyses showed that this restructuring was associated with lineage-specific expansion of a single DNA transposon family (TE_00003234; hAT), which is highly enriched in expansive pericentromeric regions that are characterized by low gene density and nucleotide diversity, suppressed recombination, segregation distortion, and extensive synteny disruption, unlike the LTR retrotransposon-rich pericentromeres typical of most plant genomes. These findings support a model in which lineage-specific DNA transposon expansion is associated with remodeling of pericentromeric architecture and large-scale chromosome restructuring following polyploidization.

genomics↗

bioRxiv2026

Arrestin-3 promotes locomotor sensitization to psychostimulants via JNK signaling in nucleus accumbens

Arrestins play key role in desensitization of G protein-coupled receptors. Direct signaling role of arrestins has also been documented. Two ubiquitously expressed arrestin isoforms, arrestin-2 and -3 (Arr3), perform similarly in receptor desensitization and share many signaling functions, enabling them to substitute for one another. However, certain signaling roles are specific to each isoform. Mice lacking Arr3 (A3KO) show blunted acute responsiveness to the locomotor stimulatory effect of amphetamine (AMPH). Here we demonstrate that AMPH- and cocaine-induced locomotion of A3KO mice is significantly reduced. This loss-of-function phenotype suggests that Arr3-mediated signaling contributes to the effect. Virus-driven expression of Arr3 in caudate-putamen of A3KO and wild type mice suppressed AMPH-induced locomotion. In contrast, restoration of Arr3 in nucleus accumbens rescued locomotor response. Thus, in caudate-putamen Arr3 participates in the desensitization of dopamine receptors, whereas Arr3-dependent signaling in nucleus accumbens underlies the molecular mechanism of the locomotor response and sensitization. Using monofunctional Arr3-derived peptides, we showed that in the nucleus accumbens Arr3 promoted drug-induced locomotor responses via facilitation of JNK3 activation.

neuroscience↗

bioRxiv2026

A transcriptomic analysis reveals shared and inducer-specific expression patterns of cellular senescence

Cellular senescence is a heterogeneous cell state induced by diverse stressors, including telomere attrition, genotoxic agents, oxidative damage, and inflammation. Despite ongoing efforts to identify conserved senescence biomarkers, it remains unclear whether senescence-inducing stimuli converge at the level of individual genes or broader molecular processes. Here, we profiled transcriptomic changes in human primary lung fibroblasts (IMR-90) driven toward senescence by replicative exhaustion, bleomycin, H2O2, or ionizing radiation under matched, dose- or time-resolved conditions. Across all four senescent inducers, global transcriptomic variation aligned along a shared axis of senescence progression, consistent with established machine learning-based senescence classifiers. However, overlap at the level of individual genes was limited, with most responses being inducer-specific or only partially conserved. In contrast, pathway-level analysis revealed far more consistent enrichment across all conditions, including downregulation of proliferation-associated pathways and activation of stress-related and pro-inflammatory pathways, accompanied by distinct inducer-specific patterns. These results support a hierarchical organization of the senescent transcriptome, in which diverse senescence inducers converge on shared pathway-level features while maintaining gene-level heterogeneity. These results provide a foundational basis for interpreting senescence signatures and may facilitate the development of more robust transcriptome-based markers of cellular senescence in aging and disease.

genomics↗