Biology subjects

Liu, X.

Publications and source records attributed to Liu, X..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Longitudinal Metaproteomic and Lysine Crotonylation Remodeling Defines Clinical Response to Fecal Microbiota Transplantation in Ulcerative Colitis

Background Fecal microbiota transplantation (FMT) can induce steroid-free clinical remission in a subset of patients with ulcerative colitis (UC), but treatment responses remain heterogeneous and are not fully explained by taxonomic microbiome shifts. To define functional molecular features associated with FMT efficacy, we performed integrated longitudinal fecal metaproteomic and lysine crotonylation (Kcr) profiling. Methods We analyzed 87 fecal samples from 23 patients with active UC collected at baseline and at weeks 1, 8, and 12 after FMT. Patients were classified as responders (n = 13) or non-responders (n = 10) according to steroid-free clinical remission at week 12. Across samples, we identified an average of 3,682 proteins and 562 Kcr sites per sample. Results Responders showed greater metaproteomic and meta-crotonylomic complexity at week 12, sustained enrichment of Prevotella and Faecalibacterium, and eight directionally consistent baseline-altered proteins with candidate prognostic value. After FMT, responders exhibited coordinated microbial functional remodeling, including increased proteins involved in short-chain fatty acid (SCFA) metabolism, acyl-CoA-centered pathways, nutrient transport, and polysaccharide degradation, together with attenuation of host neutrophil-related inflammatory protein and Kcr signatures. Non-responders showed minimal or opposing molecular changes. Conclusions: These findings nominate longitudinal fecal metaproteomic and Kcr remodeling as functional molecular readouts of clinical response to FMT in UC and highlight lysine crotonylation as an underexplored metabolite-sensitive layer linking microbial metabolic restoration with host inflammatory resolution.

microbiology↗

bioRxiv2026

Protein Scaffolds Modulate the Electronic Structure of a Common Ketyl Radical Intermediate in Thiamine Pyrophos-phate-Dependent Radical Biocatalysis: Insights from EPR and ENDOR Spectroscopy

New-to-nature radical biocatalysis has emerged as a powerful strategy for asymmetric C--C bond formation, yet the enzyme-bound radi-cal intermediates that underpin these transformations have remained largely uncharacterized. Here, we combine photo biocatalytic reaction development with multifrequency electron paramagnetic resonance (EPR), electron-nuclear double resonance (ENDOR) spectroscopy, and density functional theory (DFT) calculations to elucidate the ketyl radical intermediates formed during thiamine pyrophosphate (TPP)-dependent radical biocatalysis. We first develop an oxidative photobiocatalytic cross-coupling of aldehydes with alkyltri-fluoroborates catalyzed by engineered benzoylformate decarboxylase (BFD) variants, providing enantioenriched -chiral ketones through a new oxidative radical manifold inaccessible to benzaldehyde lyases (BALs). Freeze-quench multifrequency EPR and ENDOR spectroscopy directly identify the catalytically generated TPP-bound ketyl radical and reveal that this common radical intermediate adopts distinct electronic structures in BFD and BAL despite their identical chemical composition. Analysis of 1H, 19F, 31P, and 14N hyper-fine interactions, together with DFT calculations, demonstrates that enzyme-specific active-site conformations redistribute spin density between the TPP cofactor and substrate fragment. Greater substrate-centered spin delocalization in BFD provides a mechanistic basis for its superior radical C--C coupling activity relative to BAL. These results establish a direct relationship between protein-controlled electronic structure and catalytic function in TPP-dependent radical biocatalysis and demonstrate that engineering the electronic properties of a common radical intermediate represents a useful strategy for controlling enzyme reactivity in radical biocatalysis.

biochemistry↗

bioRxiv2026

Cortex-wide single-cell activity mapping in freely moving mice

How the cortex supports complex, naturalistic behavior can be revealed only in freely moving animals. Although head-mounted microscopes promise access to the neural dynamics underlying such behavior, fundamental trade-offs among field of view, spatial resolution, device weight, and background contamination have prevented cortex-wide single-neuron recording, leaving distributed cortical coordination largely inaccessible. To meet these challenges, we introduce COMET (Cortex-wide Observational Miniature Epifluorescence Technique), a 3.75-g head-mounted mesoscope that integrates an aberration-controlled wide-field optical design, uniform high-efficiency excitation and single-coaxial power-and-data transmission with an end-to-end denoising and signal-extraction pipeline. This enables cortex-wide calcium imaging at single-cell resolution in freely moving mice. COMET captures activity from >15,000 layer 2/3 neurons per 5-min recording over fields of view up to 10 mm in diameter while preserving natural behavior. Benchmarking against benchtop two-photon microscopy demonstrates high spatial concordance of detected neurons and matched event-level calcium dynamics. We apply COMET to social interaction to quantify region-specific engagement and to an auditory trace fear-conditioning task that requires natural movement and behavioral expression, revealing time-ordered changes in regional firing-rate structure and functional connectivity preceding a global conditioned response. COMET provides an open, lightweight hardware-software framework for linking single-neuron activity to cortex-scale network dynamics during freely expressed behaviors under changing internal or external conditions.

neuroscience↗

bioRxiv2026

Co-targeting KRAS and BCL-2 induces pyroptosis and antitumor tertiary lymphoid structures

Mutant KRAS drives lung tumorigenesis through both cell-intrinsic and cell-extrinsic mechanisms, yet mutation subtype-specific differences in metabolic regulation and immune evasion remain incompletely understood. Here we show that the KRAS G12D mutation, particularly in the KRAS/STK11 co-mutant (KL) context, is associated with poor prognosis and a suppressed immune microenvironment characterized by impaired antigen presentation. At the cell-intrinsic level, G12D exhibits weakened interaction with hexokinase 1 (HK1), reduced spare respiratory capacity, and diminished mitochondrial stress resistance compared with G12C. Based on this mitochondrial vulnerability, we screened a panel of clinically available agents that induce mitochondrial stress and identified that co-targeting KRAS and BCL-2 synergistically triggers GSDME-mediated pyroptosis predominantly in G12D tumors. This combination further induces functional tertiary lymphoid structures (TLS) in vivo. Immune cell depletion experiments further demonstrate that the antitumor efficacy is dramatically dependent on B cells. Moreover, this treatment strategy induced membrane attack complex (MAC) deposition in situ and elicited memory antitumor responses. Collectively, these findings establish that combined KRAS and BCL-2 inhibition elicits pyroptosis and TLS formation, leading to B-cell-dependent in situ and memory antitumor immunity, providing a mechanistic rationale for targeting mitochondrial-immune crosstalk in KRAS G12D-mutant lung cancer.

cancer biology↗

bioRxiv2026

Neural Representations of Visual Anagrams in Macaque Inferotemporal Cortex

Visual recognition requires stable representations of object identity despite large changes in the retinal image. Yet this stability must be selective: some transformations change not only how an image looks, but also what object it appears to depict. Visual anagrams highlight this challenge: a single image can resemble two different objects at different orientations, such as an elephant and a rabbit. Here, we asked how macaque inferotemporal (IT) cortex represents such transformations. We recorded large neuronal populations while presenting visual anagrams and unambiguous exemplars of their two interpretations across rotations. Neurons preferring one exemplar tended to prefer anagram orientations supporting the corresponding interpretation. At each of the two interpretation-relevant canonical angles, population responses more closely resembled those to the matching exemplar than those to the nonmatching exemplar. This matching advantage persisted when both exemplars were presented at the alternative canonical angle. Decoders trained exclusively on exemplars across rotations also tracked the shifts in anagram representations. Visual models showed anagram-exemplar alignment as well, with stronger alignment in models with greater relative shape preference. These findings suggest that transformation tolerance in IT is sensitive to what an image appears to depict, while relative shape preference is associated with similar representational organization in visual models.

neuroscience↗

bioRxiv2026

A unified framework for quantitative splicing and transcript prediction

RNA splicing is frequently disrupted by genetic variation, contributing to a wide range of human diseases. Identifying the variants responsible for altered splicing is therefore crucial but has long been challenging. Deep learning models that predict splicing from genomic sequence have substantially advanced their detection, but accurately resolving their quantitative effects on splicing and the resulting transcripts remains an unmet need. Here we introduce SpliceAI2, a deep learning model trained end-to-end on splice site, splice junction, and transcript usage across multiple mammalian species. SpliceAI2 reconstructs complete transcripts directly from genomic sequence and considerably improves identification of splice-altering variants and quantification of their effects in diverse benchmarks spanning cryptic splicing, splicing quantitative trait loci, and massively parallel reporter assays. Human population datasets provide independent validation of these predicted functional effects through evidence of natural selection and associated changes in plasma protein abundance. Application to a rare disease cohort reveals that predicted splice-altering variants are highly enriched in disease-associated genes and account for 15% of the excess genetic burden, with approximately half residing in deep intronic regions likely missed by exome sequencing. Together, these findings establish SpliceAI2 as a major step forward in interpreting splice-altering variants across the human genome.

genomics↗

bioRxiv2026

Niche-dependent epistasis within the cancer genome shapes metastatic fitness

Epistasis, the genetic interaction between loci, directs non-additive genotype-to-phenotype outcomes. Within a multicellular organism, how the tissue niche (E) shapes gene-by-gene epistasis (GxG) and its phenotypic consequences remains poorly studied. Using tumor lung metastasis as an experimental model, we mapped GxGxE through combinatorial CRISPR perturbation coupled with depletion of defined host myeloid populations in mice. The metastatic niche first selects disseminated tumor cells on GxG epistatic fitness, then drives transcriptome convergence regardless of genotype. Removing anatomically distinct myeloid populations reshaped the metastatic epistasis landscape despite identical tumor genotypes. Gene-by-gene-by-environment epistasis therefore operates at the organismal level, with interaction magnitude and sign set by niche cells. Beyond metastasis, our data suggest that the tissue niche conditions how genetic interactions translate into divergent phenotypes.

genetics↗

bioRxiv2026

Cross-Tissue Inflammatory Convergence Supports a Putative Muscle-Brain Axis in Alzheimer's Disease

Background Reduced muscle strength is associated with cognitive decline and Alzheimer's disease (AD), suggesting that skeletal-muscle aging and AD-related neurodegeneration may share biological mechanisms. Vascular dysfunction, immune activation, and extracellular-matrix remodeling have been implicated in both tissues, but the extent of shared cellular and molecular programs remains unclear. We investigated cross-tissue transcriptional programs in aging skeletal muscle and AD-related brain tissue and evaluated whether related signals are detectable in peripheral blood. Methods We analyzed independent, unpaired human transcriptomic datasets from skeletal muscle (23 donors), the SEA-AD middle temporal gyrus atlas (84 donors), and peripheral blood. Donor-aware models identified age-associated changes in muscle and transcriptomic changes across continuous pseudoprogression score (CPS) in brain. Cross-tissue comparisons focused on 30 brain donors within an early CPS window. Shared tissue-derived programs were assessed in peripheral blood mononuclear cells and independently tested in frailty bulk-blood and Alzheimer's Disease Neuroimaging Initiative (ADNI) whole-blood datasets. CellOracle simulations were used to prioritize candidate transcriptional regulators. Results Aging muscle showed increased inflammatory, extracellular-matrix, and stromal communication programs. During early AD-related brain progression, vascular and immune populations showed increasing inflammatory and matrix-associated activity together with shifts in intercellular communication. Cross-tissue analysis identified six concordantly enriched pathways comprising 109 leading-edge genes in endothelial populations and four pathways comprising 51 genes in myeloid populations. Related peripheral-blood signatures varied across cohorts and cell types. However, in independent frailty and ADNI mild cognitive impairment and AD datasets, 23 of 30 predefined tissue-derived pathway-subset tests showed significant positive enrichment after false-discovery-rate correction, whereas individual gene-level bulk-blood associations did not survive correction. CellOracle analyses prioritized ETS2 and BHLHE40 as exploratory endothelial regulators whose simulated perturbation consistently reduced selected shared program scores across tissues. Conclusions Aging skeletal muscle and AD-related brain tissue exhibit convergent endothelial and myeloid inflammatory programs, with related pathway-level signals detectable in peripheral blood. These cross-tissue programs and candidate endothelial regulators provide testable hypotheses for mechanisms linking systemic aging, muscle dysfunction, and AD-related neurodegeneration.

neuroscience↗

bioRxiv2026

The RNA-binding protein TRIM71 Promotes Supporting Cell Reprogramming and Hair Cell Regeneration by Activating Sall4

Hair cell (HC) loss in the auditory organ (cochlea) is irreversible and represents the leading cause of deafness in humans. The absence of HC regeneration is primarily due to the limited plasticity of cochlear supporting cells (SCs). Using a novel doxycycline-inducible TRIM71 transgenic mouse model, this study demonstrates that overexpression of the RNA-binding protein TRIM71 promotes spontaneous cochlear HC regeneration in neonatal mice. Experiments in cochlear organoids indicate that TRIM71 reprograms SCs into progenitor-like cells and that this reprogramming is further enhanced by coactivation of follistatin (FST). FST augments TRIM71-induced increases in chromatin accessibility at progenitor and HC-specific gene loci, facilitating their transcriptional activation in SCs. Notably, FST also enhances TRIM71-induced reactivation of Sall4, which, like Trim71, is highly expressed in early otic progenitors. Using cochlear organoids and explants, we show that the early otic transcription factor SALL4 is required for TRIM71-induced HC formation. By contrast, SALL4 overexpression inhibits HC formation by maintaining reprogrammed SCs in an undifferentiated, proliferative state. These findings establish TRIM71 as an activator of HC regeneration in vivo, provide mechanistic insights into TRIM71's role in SC reprogramming, and identify SALL4 as its essential effector.

cell biology↗

bioRxiv2026

An expanded LPS translocon mediates surface lipoprotein export in the Bacteroidota

Cell surface lipoproteins (SLPs) play crucial roles in the pathogenesis and cell biology of gram-negative bacteria, yet the route by which they reach the cell surface has remained unknown except in special cases. Here we show that in Bacteroidota bacteria, a phylum that includes prominent human commensals and anaerobic pathogens, SLP export is carried out by the outer membrane lipopolysaccharide (LPS) translocon. Isolation and structural characterisation of LPS translocon complexes from two Bacteroidota species reveals that they are massively enlarged and elaborated relative to the Escherichia coli paradigm with up to eight additional subunits located within, and on either side of, the outer membrane. We establish a role for the universally conserved core LptD subunit and four of the additional Bacteroidota-specific subunits in SLP export. Expansion of the LPS translocon in the Bacteroidota may allow export of the unusually complex SLPs found in this phylum. Our discoveries raise the possibility that SLP export is a conserved second function of the LPS transport pathway across gram-negative bacteria.

microbiology↗

bioRxiv2026

Auditing Protein-Protein Interaction Signals with Sparse Autoencoder Fingerprints

Protein language models have become a dominant foundation for sequence-based protein-protein interaction (PPI) prediction, but their generalization remains limited under stringent evaluation, and benchmark accuracy alone cannot reveal whether a PPI predictor learns partner-specific biological signals or exploits contextual shortcuts. Here we introduce AuditPPI, an interpretable framework that transforms sparse-autoencoder (SAE) features from a frozen protein language model into order-invariant pair fingerprints, recasting PPI prediction as an auditable tabular-learning problem. AuditPPI achieves competitive predictive performance across diverse PPI benchmarks while enabling multiscale auditing of the information supporting its predictions. Protein-level audits show that partner-independent participation signals remain substantial in conventional benchmarks, including protein-disjoint benchmark, but are largely insufficient for pair-level discrimination in topology- and degree-controlled benchmark. Pair-level analyses further show that removing protein identity overlap does not eliminate contextual structure: protein-disjoint benchmarking retains strong subcellular co-localization signals and benchmark-dependent feature matching captured by SAE co-activation and absolute-difference. Structural analyses, however, provide little evidence that these predictive signals are specifically grounded in PPI interfaces: feature enrichment at interfaces for protein-disjoint benchmark was no longer detectable after controlling for surface exposure, and contact-specific enrichment was observed for only a small fraction of testable SAE feature pairs. AuditPPI therefore separates predictive success from mechanistic fidelity and provides a practical framework for evaluating whether sequence-based PPI predictors capture partner-specific biological signals instead of contextual shortcuts.

bioinformatics↗

bioRxiv2026

Monothiol glutaredoxin DaGrxB couples iron homeostasis with redox balance to orchestrate development and virulence in the peach shoot blight fungus Diaporthe amygdali

Peach shoot blight (PSB), caused by Diaporthe amygdali, is one of the most devastating fungal diseases affecting peach production worldwide. Glutaredoxins (Grxs) are ubiquitous redox-regulatory proteins involved in antioxidant defense and iron metabolism, yet their functions in phytopathogenic fungi remain largely unknown. Here, we identified four Grxs (DaGrxA-DaGrxD) in D. amygdali. Among them, DaGrxB, a monothiol glutaredoxin, is the sole member essential for vegetative growth, asexual reproduction and virulence. DaGrxB interacts with iron-regulatory transcription factors DaHapX and DaSreA and modulates their activities via iron-dependent nucleocytoplasmic shuttling, coordinating iron acquisition and storage gene expression. During infection, D. amygdali encounters a biphasic iron environment: an inherently iron-limited host environment at early stages (1-2 dpi) followed by host-mediated iron excess (3-4 dpi), and DaGrxB is essential for navigating this transition. Consistently, deletion of either DaHAPX or DaSREA significantly reduced virulence, confirming that iron homeostasis is a critical determinant of D. amygdali virulence. Notably, deletion of DaGRXB disrupts Fe-S cluster biosynthesis, causing mitochondrial Fe2+ accumulation, impaired aconitase activity, and reduced ATP production, which triggers constitutive activation of the GSH-dependent antioxidant system, with elevated GSH/GSSG ratios, increased GR and GST activities, and reduced H2O2 levels. Exogenous GSH and H2O2 depletion both reduced virulence, suggesting that disturbed redox balance directly contributes to attenuated virulence. Additionally, the Trx domain assists the Grx domain in nucleocytoplasmic translocation through intramolecular interactions. Finally, LDH-delivered dsRNA targeting DaGRXB effectively controls PSB. Collectively, these findings reveal how a monothiol glutaredoxin integrates iron homeostasis, redox balance and virulence in a plant pathogen, providing a foundation for RNAi-based disease management.

pathology↗

bioRxiv2026

An FEV-Associated Metastasis-Initiating-Like State Linked to Tumor Cell Plasticity and Immune Niche Remodeling in Prostate Cancer

Prostate cancer progression is accompanied by dynamic remodeling of malignant cell states, whose metastatic potential and regulatory programs remain poorly defined. Here, we integrated single-cell, spatial, bulk transcriptomic, epigenomic, and experimental data to characterize malignant cell state transitions and identify candidate regulators associated with metastatic progression. A distinct intermediate state exhibits increased copy-number alterations, stemness, proliferation, and MYC activity, together with the highest transcriptional similarity to metastatic tumor cells, and is therefore designated as a metastasis-initiating-like (MIC-like) state. Transcriptional and regulon dynamics along the malignant cell state trajectory highlight FEV as a prominent candidate associated with the MIC-like state, with concordant expression and regulon activity patterns. Functionally, FEV is associated with a hybrid epithelial-mesenchymal phenotype, and its perturbation disrupts this phenotype, accompanied by reduced epithelial and mesenchymal features as well as impaired prostate cancer cell migration and invasion. Beyond this tumor-intrinsic feature, FEV is also associated with reduced cytotoxicity and interferon responses in the tumor microenvironment through its regulation of MIF-family genes. In addition to its potential roles in tumor cell plasticity and immune remodeling, FEV shows a reciprocal association with androgen signaling and distinct expression patterns across treatment response groups, highlighting its potential relevance in therapeutic contexts.

bioinformatics↗

bioRxiv2026

A 3D in vitro follicle-endometrial organoid co-culture model recapitulates ovarian control of human endometrial decidualization

Female infertility remains a major women's reproductive health challenge, with impaired endometrial receptivity contributing to recurrent implantation failure, early pregnancy loss, and pregnancy complications. Mechanistic studies of human early pregnancy are limited by the lack of physiologically relevant models, and existing in vitro endometrial models rely on exogenous hormone treatment and do not recapitulate the dynamic ovarian control of endometrial growth and differentiation. Here, as a proof of concept, we developed a 3D in vitro ovarian follicle-endometrial organoid co-culture model. Immature murine follicles were cultured in vitro to obtain preovulatory follicles, followed by human chorionic gonadotropin (hCG) stimulation to induce ovulation and luteinization. Luteinized follicles were co-cultured with human endometrial stroma organoids for 6 days. The results showed that luteinized follicles generated a dynamic endocrine environment characterized by progressively increasing progesterone levels and declining estradiol levels. Follicle co-culture induced morphological differentiation and expression of decidualization markers in human endo-organoids. Transcriptomic analysis revealed strong genome-wide concordance between follicle co-culture and conventional decidualization induction using estradiol/progesterone/cAMP (EPC), with significant enrichment of decidualization-associated genes and pathways under both conditions. Nevertheless, the two conditions also exhibited distinct transcriptional states, with EPC preferentially enriched for more mature decidualization-associated programs, whereas luteinized follicle co-culture retained features of the early stage of decidualization. Functional perturbation testing revealed that the progesterone receptor (PR) antagonist RU486 attenuated co-culture-induced endometrial decidualization. Together, these results establish a new in vitro new approach methodology (NAM) that recapitulates ovarian control of endometrial decidualization. This platform provides a human-relevant NAM model to investigate the physiology and pathophysiology of endometrial decidualization, and to evaluate how drugs and environmental chemicals perturb uterine receptivity and early pregnancy.

pharmacology and toxicology↗

bioRxiv2026

BAP1 loss and PRAME expression converge to remodel the tumor-immune ecosystem during uveal melanoma progression

Uveal melanoma (UM) is characterized by a small number of recurrent genetic alterations that determine metastatic propensity. BAP1 loss and PRAME expression define the dominant prognostic axes in UM, yet how they promote malignant progression remains unclear. We profiled 190,535 cells from normal uvea, uveal nevus, primary and metastatic UM using single-cell transcriptomics, T cell receptor sequencing, spatial transcriptomics and isogenic perturbation models. Normal melanocytes, nevus cells and UM cells formed a transcriptional continuum marked by loss of differentiation and emergence of neural crest-like, stress-responsive, hypoxic-glycolytic and immune-interacting states. BAP1 loss and PRAME expression imposed distinct but convergent immunoregulatory programs, inducing interferon and TNF-NFkB signaling and MHC-I expression, with HLA-E showing the strongest response. These alterations were accompanied by macrophage and CD8+ T cell remodeling. PRAME-enriched tumor regions formed spatially organized niches enriched for macrophages and plasma cells. These findings define BAP1 loss and PRAME expression as distinct but convergent axes of tumor-immune coevolution and nominate HLA-E as a candidate mediator of immune resistance.

cancer biology↗

bioRxiv2026

Agentic transcranial functional ultrasound imaging: @fUS

Functional ultrasound (fUS) imaging provides deep, wide-field access to brain function, but instrument cost and complex acquisition and analysis workflows restrict its wider adoption. Here we introduce @fUS, an agentic transcranial imaging platform with an open architecture that integrates purpose-built hardware with executable experimental skills and persistent structured memory. The system combines 128-channel, 16-bit acquisition at 125 MHz with GPU-based processing and enables functional imaging through the intact scalp and skull of mice, with approximately 100-m spatial resolution and 10-Hz temporal sampling, providing a basis for longitudinal studies without cranial-window surgery. Its agent connects scientific objectives to experimental design, direct instrument control and data analysis, retaining context across interactions and supporting inspectable workflows through text and hands-free voice control. Neuroscience trainees with limited engineering experience independently configured the system within 30 min. Agent-assisted exploration of whisker-stimulation datasets revealed low-frequency vascular changes beyond conventional response mapping, supported by complementary two-photon measurements of single-vessel diameter. By combining transcranial imaging with accessible instrument control and analysis, @fUS provides a foundation for wider adoption and larger, more diverse neuroscience datasets. More broadly, it offers a framework for scientific instruments in which measurement, computation and experimental reasoning are developed as parts of the same system.

bioengineering↗

bioRxiv2026

PerturbBridge: Conditional Latent Schr\"{o}dinger Bridge for Single-Cell Perturbation Prediction

Single-cell perturbation response prediction seeks to recover transcriptional responses under unseen perturbation conditions. Because RNA sequencing measurements are destructive, control and perturbed cells are typically observed as unpaired populations without cell-level correspondence, shifting the prediction objective from individual cellular outcomes to perturbation-specific population distributions. The Schr"odinger Bridge (SB) provides a principled framework for modeling these population-level transitions as stochastic transport, but learning bridge dynamics from high-dimensional, sparse gene-expression profiles remains challenging. We propose PerturbBridge, a conditional latent Schr\"odinger Bridge framework that reformulates stochastic population transport over high-dimensional, sparse gene-expression profiles as bridge learning in a compact cell latent space. This formulation enables an efficient approximation of SB-based stochastic population transport in single-cell perturbation prediction. PerturbBridge first learns a compact latent representation following the \beta-TCVAE paradigm \citep{chen2018isolating}, alleviating the challenges caused by high dimensionality and sparsity during bridge learning. An interpolation-consistency regularizer further encourages agreement between decoded latent interpolations and the corresponding expression-space interpolations. PerturbBridge then learns a perturbation-conditioned latent bridge using a tractable stochastic SB approximation between latent control and target populations, with endpoint MMD regularization promoting alignment between generated and observed target distributions. Experiments on the Norman CRISPR and Sci-Plex3 chemical perturbation benchmarks demonstrate competitive performance across all evaluation metrics. Notably, PerturbBridge achieves state-of-the-art performance in differential-expression recovery on both benchmarks, highlighting the effectiveness of latent stochastic transport modeling for population-level single-cell perturbation prediction.

bioinformatics↗

bioRxiv2026

Temporal TOC1-CLV3-WUS cascade controls organogenesis and rhythmic stem development

Coordinated organogenesis and rhythmic stem development determine shoot morphogenesis, which governs distinct plant architecture and crop yield. The shoot apical meristem (SAM) drives organ initiation and stem growth, with its activity sustained by the spatially defined CLAVATA3 (CLV3)-WUSCHEL (WUS) feedback loop. However, how the temporal CLV3-WUS module modulates SAM activity remains elusive. Here, we demonstrate that both CLV3 and WUS are required for circadian stem elongation. The clock component TIMING OF CAB EXPRESSION1 (TOC1) directly activates and sustains the circadian expression of CLV3, and this regulatory process is controlled by the APETALA1-CIRCADIAN CLOCK-ASSOCIATED1 module. Notably, the rhythmic expression pattern of CLV3, rather than its transcript abundance, plays a more important role in regulating WUS expression and sustaining SAM activity, and CLV3 confers circadian rhythmicity to WUS protein accumulation. Transcriptome and ChIP seq analyses reveal that WUS modulates multiple developmental programs, including meristem homeostasis, phytohormone responses, and cell wall remodeling. Mechanistically, WUS directly activates PECTIN METHYLESTERASE5 expression to promote stem elongation. Collectively, our findings uncover a spatiotemporal regulatory cascade that fine-tunes SAM activity to coordinate rhythmic organogenesis and stem development, thereby establishing optimal phyllotactic patterning in plants.

plant biology↗