Biology subjects

Li, C.

Publications and source records attributed to Li, C..

At least 145 records · Page 8Linked to original sources

bioRxiv2026

Multi-component functionalized Bifidobacterium longum hydrogel for multi-target integrated therapy of colitis-associated anxiety and depression

Inflammatory bowel diseases (IBDs) are frequently accompanied by anxiety and depression, largely driven by perturbed gut-brain axis signaling. However, current oral therapies remain constrained by the spatial and functional separation between intestinal inflammation and central nervous system dysfunction. Here, we present a comprehensive gut-brain dual region integrated therapeutic strategy based on functionalized Bifidobacterium longum hydrogel (INPs@BL@Gel), in which baicalin and tyrosine are coordinated with Fe(III) to form infinite coordination polymers (ICPs), coated with inulin, assembled onto Bifidobacterium longum (BL), and subsequently encapsulated within a pH- and matrix metalloproteinase-responsive silk fibroin-gelatin hydrogel. INPs@BL@Gel exhibits high drug-loading, effective gastric protection, inflammation-triggered release, and long-term intestinal colonization. Within the inflamed intestine, BL and components synergistically suppress inflammatory responses, restore gut microbiota homeostasis, and promote intestinal barrier repair through multi-target integrated therapy. Importantly, BL combined with components markedly enhances the production of beneficial neuroactive metabolites such as homovanillic acid and short-chain fatty acids, which integrated regulate neuroinflammation, preserve synaptic function, and facilitate blood-brain barrier repair via the gut-brain axis. In vivo studies demonstrate that INPs@BL@Gel not only exert potent therapeutic efficacy against colitis and effectively alleviate associated depression, but also reshape the gut microbiota and restore barrier integrity, achieving an remarkable comprehensive therapeutic effect. O_FIG O_LINKSMALLFIG WIDTH=158 HEIGHT=200 SRC="FIGDIR/small/710940v1_fig1a.gif" ALT="Figure 11"> View larger version (59K): org.highwire.dtl.DTLVardef@1a831f3org.highwire.dtl.DTLVardef@1676617org.highwire.dtl.DTLVardef@15f99c1org.highwire.dtl.DTLVardef@1677cc4_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOScheme 1.C_FLOATNO (a) Schematic diagram of the design and preparation of functionalized Bifidobacterium longum hydrogel. (b) Exploration of the mechanism of INPs@BL@Gel in treating colitis-associated anxiety and depression through a dual-site multi-target synergistic strategy. C_FIG

pathology↗

bioRxiv2026

Digital Twin Brain simulation and manipulation of a functional brain network underlying mental illness

Linking synaptic-level perturbations to distributed brain-network dynamics remains a central challenge for understanding and treating mental illness. Although recent whole-brain models can reproduce individual brain activity patterns, they largely function as descriptive simulators rather than mechanistic, intervention-capable systems. Here we present an intervention-capable digital twin of the human brain, integrating individual neuroanatomy and task-evoked dynamics within a neuronal-scale framework. Individualised digital twin brains recapitulate a participant-specific compact cortico-subcortical network phenotype that captures transdiagnostic psychopathology across population and clinical cohorts. In silico modulation of excitatory and inhibitory synaptic conductance produces bidirectional, heterogeneous network responses across individuals. Population-scale simulations stratify individuals and predict longitudinal symptom trajectories from DTB-derived response profiles. Independent pharmacological functional MRI data further validate the predicted baseline-dependent network responses in vivo. Together, these findings establish digital brain models as experimental platforms for mechanistic perturbation, behavioural prediction and stratification, providing a foundation for precision neuroscience and psychiatry.

neuroscience↗

bioRxiv2026

Sex-Specific Vulnerability to Radiofrequency Electromagnetic Radiation-Induced Reproductive and Neurological Impairment in Mice

Electromagnetic radiation (EMR) constitutes a pervasive environmental stressor, yet the sex-specific vulnerabilities to its biological effects remain inadequately characterized. This study investigated the differential impacts of 3.2 GHz pulsed EMR on reproductive and neurological functions in male and female mice following a four-week exposure regimen. We identified a pronounced sexual dimorphism in systemic and organ-specific responses. Male mice exhibited a primary vulnerability in the reproductive axis, manifesting as severe spermatogenic impairment, including depletion of the spermatogonial stem cell pool, disruption of sperm chromatin remodeling, and consequent declines in sperm quality and quantity. In contrast, exposed females showed preserved ovarian function but displayed marked neurobehavioral deficits, including increased anxiety- and depressive-like behaviors, and cognitive impairment, which were correlated with neurodegeneration in the hippocampus and prefrontal cortex. Proteomic analyses revealed distinct sex-specific biomarker profiles, with serum levels of Mdk, histone H1 variants (H1-1, H1-4, H1-5), Hp1bp3, Ncf2, and Rhoc strongly associated with male testicular dysfunction, while decreased levels of the synaptic motor protein KIF13A in serum and brain tissue were linked to female neurological impairment. Our findings delineate clear sex-divergent pathological pathways that target male spermatogenesis and female neurocognitive function and propose novel circulating protein biomarkers. This work provides a critical foundation for sex-aware risk assessment and the development of targeted preventive strategies against EMR-associated health risks.

pathology↗

bioRxiv2026

RRTF1 promotes touch-responses in Arabidopsis shoots independent of jasmonic acid

Plants acclimate to mechanical stimuli such as touch and wind via thigmomorphogenesis, a suite of developmental responses that alter their growth and architecture. However, the early signaling mechanisms translating mechanoperception into long-term morphological changes remain incompletely understood. We investigated the role of the rapidly touch-induced transcription factor RRTF1 (REDOX RESPONSIVE TRANSCRIPTION FACTOR 1) in these processes. Phenotypically, under aggressive mechanical stimulation, rrtf1 mutant exhibited attenuated stunting (less height reduction). This suggests a key role for RRTF1 in promoting thigmomorphogenic responses under severe mechanical stimuli, though the rrtf1 mutant responded similarly to wild-type under gentle, repeated brushing. The alleviation of growth stunting in rrtf1 was largely jasmonic acid (JA)-independent. Transcriptome analysis at 10 minutes post-touch revealed that rrtf1 mutant maintained approximately 86% of wild-type touch-responsive gene expression. Nevertheless, RRTF1 modulated specific regulons, partly through an interplay with WRKY transcription factors, as evidenced by altered TF binding motif enrichment in RRTF1-specific differentially expressed genes. We conclude that RRTF1 acts as a modulator of early touch signaling in Arabidopsis shoots. It is not essential for the bulk of the initial transcriptional response but fine-tunes specific gene sets and plays a crucial role in calibrating long-term thigmomorphogenic development, particularly by promoting growth inhibition under severe mechanical stimulation. This study provides insights into the alleviation of touch-induced growth inhibition in rrft1 mutant, which might be relevant to breeding for crops that are planted in high density and experience constant physical contact with neighboring plants.

plant biology↗

bioRxiv2026

ALKBH5 Promotes Hepatic Gluconeogenesis via m6A-mediated Stabilization of Ogt mRNA

Excessive hepatic glucose production is a hallmark of fasting hyperglycemia in type 2 diabetes mellitus, yet the epitranscriptomic mechanisms that sustain this dysregulation remain incompletely understood. Here, we show that dexamethasone/forskolin-induced gluconeogenic activation triggers widespread remodeling of RNA m6A methylation in mouse primary hepatocytes. Among the m6A regulators examined, the demethylase ALKBH5 is robustly induced both in vitro and in fasted livers. This induction is mediated by the glucocorticoid receptor, which binds to the Alkbh5 promoter and activates its transcription. Functionally, ALKBH5 overexpression enhances gluconeogenic gene expression and glucose production, whereas both global and hepatocyte-specific Alkbh5 knockout mice exhibit suppressed hepatic gluconeogenesis. Mechanistically, we identify Ogt as a primary downstream target, defining an ALKBH5-OGT epitranscriptomic axis in hepatocytes. ALKBH5 demethylates and stabilizes Ogt mRNA, thereby elevating OGT expression and promoting gluconeogenic gene expression. Consistently, the pro-gluconeogenic effects of ALKBH5 are largely abrogated by OGT knockdown. Finally, pharmacological inhibition of ALKBH5 with 18l effectively improves glucose tolerance and suppresses hepatic gluconeogenesis in both wild-type and db/db mice. Together, these findings reveal a glucocorticoid-responsive epitranscriptomic mechanism whereby ALKBH5 stabilizes Ogt mRNA to drive gluconeogenesis and highlight ALKBH5 as a promising therapeutic target for type 2 diabetes mellitus.

molecular biology↗

bioRxiv2026

Crop-OCT: a Fully Integrated Imageomics Pipeline to Identify Regional and Focal Retinopathy in Murine Models

Imageomics uses machine learning to accelerate our understanding of biological traits and human disease processes. Some of the earliest imageomics applications used deep learning to assess human diseases. For example, retinal fundus images were analyzed to diagnose diabetic retinopathy. The imaging modality optical coherence tomography (OCT) is widely used to diagnose and monitor the progression of retinopathy in patients and preclinical models. The standardized instrumentation and image format of OCT lends itself to imageomics, but generalizable, automated pipelines for segmentation and quantitation of large numbers of OCT images are still in early development. Here, we present the automated, end-to-end pipeline Crop-OCT that extracts features from thousands of OCT images, while preserving their location within the eye. We used the Crop-OCT pipeline on a diverse dataset, including 13 genetic models of retinopathy, with more than 20,000 OCT images, which allowed us to analyze nearly 6 million measured features. The pipeline was generalized on an independent dataset that was analyzed in a blinded manner. The pipeline enabled us to monitor ocular changes associated with aging and progression of diseases, such as retinitis pigmentosa, Leber congenital amaurosis, achromatopsia, Stargardt disease, diabetic retinopathy, and age-related macular degeneration. We also characterized heterogeneity across animals and identified regional and focal lesions. Our pipeline will unify feature extraction for preclinical models of retinal disease and serve as a foundation for future multimodal data integration for artificial intelligence applications based on imageomics.

neuroscience↗

bioRxiv2026

MANF Clears Mutant Uromodulin in Human Kidney Organoids of Autosomal Dominant Tubulointerstitial Kidney Disease

Autosomal dominant tubulointerstitial kidney disease due to uromodulin mutations (ADTKD-UMOD) is one of the leading hereditary kidney diseases. Currently there is no targeted treatment. To illuminate human relevance of mesencephalic astrocyte-derived neurotrophic factor (MANF)-based therapy, we have established patient induced pluripotent stem cell (iPSC)-derived kidney organoid model carrying UMOD p.H177-R185del, the leading mutation causing ADTKD. We have discovered that MANF can directly bind and repress ER calcium release channel IP3R1, thus enhancing AMPK-induced autophagy in a TRIB3-dependent manner. The therapeutic implication of this finding may well be extended to other protein misfolding diseases.

genetics↗

bioRxiv2026

Neuronal p38α knockout protects against neurological consequences following repetitive mild traumatic brain injury

Mild traumatic brain injuries (mTBI) can substantially impact quality of life, and repetitive mTBIs (rmTBI) can amplify injury effects compared to a single injury. However, effective clinical treatments remain elusive, largely due to an incomplete understanding of the underlying injury mechanisms. Neuroinflammation has emerged as a key contributor to worse functional outcomes after mTBI/rmTBI. While microglia are traditionally viewed as primary mediators of post-injury inflammation, accumulating evidence suggests neurons play an immunomodulatory role in initiating the rmTBI inflammatory cascade through activation of intracellular proinflammatory pathways like p38 MAPK and secretion of cytokines that, in turn, stimulate microglial activation. Here, we tested whether inducible neuronal p38 knockout protects against functional, immune, and cerebrovascular consequences of a weight-drop closed head injury model of rmTBI. A battery of functional assays was conducted 4 weeks post-injury, and tissues were collected at both 4 hours and 4 weeks following final CHI. In males, neuronal p38 knockout protected against injury-induced depressive-like behavior, hyperactivity, synaptic loss, microglial reactivity, cytokine upregulation, and reduction in cerebral blood flow. In females, neuronal p38 knockout protected against risk-taking behavior and partially protected against cytokine upregulation but had limited effect on microglial reactivity and cerebral blood flow. Together, these findings identify neuronal p38 as a sex-dependent driver of rmTBI-associated neurological consequences, and they support neuronal p38-immune signaling as a mechanistically relevant therapeutic target for future studies.

neuroscience↗

bioRxiv2026

ACB1801 enhances tumor immunogenicity by targeting glycolysis/ferroptosis vulnerability and activating STAT1-signaling to overcome anti-PD-1 resistance in MSS colorectal cancer

BackgroundImmune checkpoint blockade (ICB) therapies demonstrate low efficacy in microsatellite stable (MSS) colorectal cancer (CRC) due to an immune-desert tumor microenvironment (TME) characterized by low antigen presentation and limited tumor-infiltrating lymphocytes (TILs). Harmine, a natural small-molecule and its promising derivatives ACB1801 have shown anti-tumor potential in preclinical models; however, their potential to reprogram the TME and overcome ICB resistance in MSS CRC remains unexplored. This study investigates whether and how ACB1801 can reshape TME to sensitize MSS CRC to ICB therapies. MethodsWe used the CT26 MSS colorectal cancer mouse model to evaluate the ability of the harmine derivative ACB1801 to enhance the efficacy of anti-PD-1 therapy. To characterize its mode of action, we performed immune landscape analysis and transcriptomic profiling of both CD45- and CD45+ tumor-derived cells. In parallel, mechanistic studies were conducted in vitro using mouse and human MSS CRC cell lines. ResultsWe demonstrate that the harmine derivative ACB1801 enhances the effectiveness of anti-PD-1 therapy in an MSS CRC mouse model. Combination therapy significantly increased CD8+ T cell infiltration and reduced regulatory T-cell (Treg) density in the TME. Transcriptomic profiling of CRC cells isolated from tumors treated with either anti-PD-1 alone or in combination with ACB1801 revealed significant enrichment of metabolic pathways in the combination group, characterized by reduced glycolysis and enhanced ferroptosis signatures. These findings were supported by in vitro data showing that ACB1801 reduces tumor cell glycolytic activity and promotes ferroptotic vulnerability. Mechanistically, ACB1801 induced STAT1 signaling, promoted CXCL10 release, and enhanced major histocompatibility complex class I (MHC-I)-dependent antigen presentation on tumor cells, thereby increasing tumor susceptibility to anti-PD-1 therapy. ConclusionCollectively, our findings indicate that combination therapy with harmine derivatives and ICBs represents a promising strategy for treating MSS CRC patients.

cancer biology↗

bioRxiv2026

Heterozygote Advantage of a Single-Copy SNAP18 Truncation Allele Enables Dominant SCN Resistance and Yield Preservation in Soybean

Soybean cyst nematode (SCN, Heterodera glycines) is the most devastating pathogen threatening global soybean production. The long-term over-reliance on rhg1-a/b resistance has led to the rapid emergence of virulent SCN populations, creating an urgent demand for novel genetic resources to safeguard soybean yield. Here, we identified a rare gain-of-function allele, SNAP18lmm3, via map-based cloning of the lesion-mimic mutant (lmm3) in the SCN-susceptible Williams 82 (rhg1-c) background. This allele encodes a 24-amino-acid C-terminal truncation of SNAP18 and exhibits an unusual mixed dominance genetic profile: the autoimmune-related leaf lesion phenotype is recessive, whereas SCN resistance is dominant. Homozygous lmm3 plants suffer significant yield losses due to spontaneous cell death, but heterozygous (LMM3+/-) plants maintain normal growth, agronomic performance, and seed yield comparable to wild-type Williams 82 in SCN-free field environments. Critically, under artificial SCN inoculation in both field trials and controlled environments, LMM3+/- heterozygotes confer robust resistance, achieving a [~]4-fold yield advantage over SCN-infested Williams 82 and a [~]44% reduction in cyst formation relative to Williams 82. This resistance profile aligns with the broad-spectrum activity of the lmm3 homozygous mutant, supported by the conserved resistance mechanism of SNAP18lmm3. Transgenic expression of SNAP18lmm3 driven by the nematode-responsive HIP promoter (HIPpro) potently arrested nematode development at the J2 stage in transgenic hairy roots, as evidenced by the drastically reduced proportion of advanced-stage nematodes. Our findings establish SNAP18lmm3 as a potent, "plug-and-play" genetic resource that circumvents the limitations of traditional dosage-dependent resistance loci. This allele enables the development of high-yielding, SCN-resistant soybean cultivars through marker-assisted selection for the heterozygous state or precision genome editing, providing a practical solution for sustainable SCN management.

plant biology↗

bioRxiv2026

SNAP18 Truncation Triggers a Competitive Binding Switch Between NSF and ATG8f, Balancing Vesicular Trafficking and Autophagy for SCN Resistance in Soybean

Soybean cyst nematode (SCN, Heterodera glycines) poses the most devastating biotic threat to global soybean production. Traditional SCN resistance mediated by the Rhg1 locus predominantly relies on gene copy number expansion and elevated -SNAP protein dosage. Here, we report a novel resistance mechanism in a single-copy rhg1-c background, wherein a C-terminal 24-amino-acid truncation of SNAP18 (designated SNAP18lmm3) triggers a functional switch from vesicular trafficking to autophagic degradation. Biochemical assays and structural modeling demonstrate that this truncation severely impairs the canonical interaction between SNAP18 and N-ethylmaleimide-sensitive factor (NSF), disrupting SNARE complex recycling and inducing localized cytotoxicity. Concomitantly, the truncated SNAP18lmm3 exposes a binding interface for the autophagy-related protein ATG8f, routing the aberrant protein for selective autophagic clearance. This constitutively activated autophagic flux acts as a systemic detoxification system, preventing widespread cell death and ensuring normal plant growth under non-stressed conditions. Upon SCN infection, SNAP18lmm3 specifically hyper-accumulates within nematode-induced syncytia. This accumulation reaches levels fourfold higher than in adjacent cells, which overwhelms the local autophagic capacity and triggering targeted cell death that arrests nematode development. By elucidating this competitive molecular switch between NSF and ATG8f binding, our study establishes a "self-degrading toxin" model that resolves the inherent trade-off between plant growth and immunity. This work provides a new theoretical framework for engineering cellular homeostasis to enhance durable crop resistance against parasitic nematodes.

plant biology↗

bioRxiv2026

The Bacteriocin Sublancin Restores Vancomycin efficacy against vancomycin-resistant enterococci in vitro and in vivo

Vancomycin-resistant enterococci (VRE) is one of the serious threat to global public health, with the diminishing effectiveness of antibiotics. There is an urgent need for novel strategies to control this multidrug-resistant bacterial infections. Here, our findings demonstrate that sublancin, a bacteriocin produced by Bacillus subtilis, exhibits intrinsic antibacterial activity and, more importantly, potentiates vancomycin, therapy restoring its efficacy against VRE. Using a series of in vitro assays, including fractional inhibitory concentration index, time-killing analysis, and resistance development assays, we show that sublancin significantly enhances the bactericidal effectiveness of vancomycin. In vivo, the sublancin-vancomycin combination therapy markedly reduced bacterial loads, improved svrvival rates in a Galleria mellonella model and enhanced bacterial clearance rates in a mouse model. Mechanistic studies using RT-PCR revealed that sublancin down-regulates the expression of the vanA resistance gene cluster. All in all, these findings make vancomycin and this antibiotic peptide combination as a promising candidatese to enhance vancomycin efficacy and overcome VRE infections, potentially through inteference with resistance gene expression.

pharmacology and toxicology↗

bioRxiv2026

Mechanisms of HIV Latency in Hematopoietic Progenitors: GFI1 as a Key Regulator

Durable control of HIV infection is challenged by persistent latent reservoirs, including hematopoietic stem and progenitor cells (HSPCs), which provide a unique niche for proviral silencing. Mechanisms of HIV latency in HSPCs remain poorly studied. Here, we utilized a dual-reporter HIV (89.6 VT1) and single-cell RNA sequencing to identify host factors governing latency in HSPCs. Transcriptomic profiling revealed elevated expression of several genes in latently infected cells, among them the transcriptional repressor GFI1. Functional studies showed that GFI1 suppresses HIV gene expression by binding a conserved sequence near the primer binding site within the long terminal repeat (LTR). Disruption of GFI1 DNA-binding or corepressor recruitment domains diminished its silencing effect. GFI1 also antagonized Tat and NF-{kappa}B-mediated activation, and reversal of GFI1-mediated suppression was most robust with combined HDAC inhibition and NF-{kappa}B activation. These findings position GFI1 as an important regulator of HIV latency in HSPCs.

microbiology↗

bioRxiv2026

Neurometabolic correlates of accelerated aging and neurocognitive late effects in long-term survivors of pediatric hodgkin lymphoma and acute lymphoblastic leukemia

Adult survivors of pediatric cancers are at elevated risk for neurocognitive late effects, but how these effects relate to metabolic perturbations in the brain remains unclear. To address this knowledge gap, the present study explored associations between neurometabolite levels and neurocognitive function in adult survivors of Hodgkin lymphoma (HL) and acute lymphocytic leukemia (ALL). Data were collected from a single-center observational study conducted at St. Jude Childrens Research Hospital (SJCRH) between October 2022 and November 2024. Adult survivors of HL (N=11 [5 females]; [≥]5 years post-diagnosis; mean [SD] current age 34 [9.5] years) and ALL (N=24 [16 females]; [≥]5 years post-diagnosis; current age 40 [12.6] years) and community controls (N=35 [17 females]; current age 40 [11] years) completed standardized neurocognitive tests of memory, attention, executive function, and processing speed. Participants also underwent proton magnetic resonance spectroscopy (1H MRS) to quantify neurometabolite levels in the left dorsolateral prefrontal cortex (dlPFC), left hippocampus, and left cerebellum. Analyses used regression models to examine differences in the slope of the relationship between neurometabolite and neurocognitive function or between neurometabolite and age. When comparing HL survivors vs controls, significant interactions were identified for group x age on the ratio of myo-inositol to N-Acetyl aspartic acid (mI/NAA; p=0.007) and group x Gamma-Aminobutyric Acid (GABA) on processing speed (p=0.04) in the left dlPFC. When comparing ALL survivors vs controls, significant interactions were identified for group x myo-inositol on verbal fluency in the left hippocampus (p=0.01) and group x GABA on cognitive flexibility in the left cerebellum (p=0.01). These preliminary findings suggest that neuroinflammation may be a mechanistic underpinning of age-associated neurocognitive impairment in pediatric cancer survivors.

neuroscience↗

bioRxiv2026

L-DOPA treatment promotes sustained neurovascular and synaptichomeostasis in the diabetic retina

While previous work has shown a sustained protective effect of levodopa (L-DOPA) on retinal function in early-stage diabetic retinopathy (DR) in humans, its underlying biology is unknown. Using noninvasive measures in diabetic mice, we found L-DOPA protects retinal neurovascular function as measured by oscillatory potential timing and flicker-evoked retinal vasodilation, as well as visual behavior, for at least two weeks past treatment end. Assessing changes in retinal gene expression, differentially expressed genes were broadly comparable between diabetic mice experiencing washout of L-DOPA versus continued L-DOPA treatment, with gene co-expression network analysis identifying distinct modules across L-DOPA-treated diabetic mice associated with synaptic function and cytoskeletal organization that correlated with functional protection. Together, these findings demonstrate that L-DOPA restores and sustains retinal neurovascular function in early DR and links this protection to transcriptional programs supporting synapse activity and structural integrity. TeaserL-DOPA restores neuronal and vascular performance in the diabetic retina, with benefits that lasted after treatment stopped.

neuroscience↗

bioRxiv2026

Plant-specific and conserved mechanisms of the polymerase-associated factor 1 complex in replication stress responses

DNA replication stress threatens genome stability in eukaryotes. The evolutionarily conserved kinase WEE1 is essential for the activation of the replication stress response. Although the polymerase-associated factor 1 complex (PAF1C) is highly conserved in eukaryotes, its role in the DNA replication stress response remains unclear. Here, we show that Arabidopsis PAF1C is essential for replication stress response. PAF1C-deficient mutants exhibit hypersensitivity to hydroxyurea (HU)-induced replication stress. Mechanistically, we uncover a plant-specific regulatory pathway in which WEE1 interacts with and phosphorylates the PAF1 subunit within its unique N-terminal domain, thereby preventing PAF1 polyubiquitination and subsequent proteasomal degradation to ensure PAF1 accumulation under stress. Genetically, overexpression of a phospho-mimetic PAF1 variant suppresses the HU hypersensitivity of wee1, revealing that PAF1 acts downstream of WEE1. However, the WEE1-PAF1 regulatory axis is absent in yeast, indicating its lineage-specific innovation. Further studies reveal that the replication factor C (RFC) complex interacts with and recruits PAF1 to the stalled replication forks. PAF1 then sequentially recruits the E2 ubiquitin-conjugating enzymes UBC1/2 and the E3 ubiquitin ligases HUB1/2 to promote histone H2B monoubiquitination (H2Bub), thereby facilitating replication fork stability. This RFC-dependent recruitment mechanism is conserved in yeast. Collectively, this study suggests that PAF1 regulates replication stress responses by integrating a plant-specific protein stability control mechanism (WEE1-PAF1) with a conserved recruitment mechanism (RFC-PAF1-UBC1/2-HUB1/2), uncovering a novel function of PAF1C and revealing new mechanisms of WEE1 and the RFC complex.

plant biology↗

bioRxiv2026

Optimization of Agrobacterium-mediated transformation of commercial heirloom tomato cultivars to develop novel traits via CRISPR/Cas9 Genome Editing

Genetic improvement using new genome editing approaches rely on the efficient delivery of the CRISPR/Cas system in the vegetable crop tomato. Previous protocols for tomato transformation have primarily focused on a handful of cultivars (M82, Alisa Craig, Microtom, Sweet-100) with very little commercial relevance, and it is not clear if these protocols can be implemented directly in other commercially relevant varieties. Heirloom tomatoes are sought for their deep and diverse flavor but have not been subjected to systematic crop improvement via conventional breeding or biotechnology approaches such as transgenesis or genome editing. Therefore, we tested the transformation and regeneration capacity of six different heirloom cultivars known for their superior taste and market relevance in the US. Subsequently, we optimized rooting conditions and used the GRF4-GIF1 chimeric developmental regulator to successfully recover transgenic plants. Finally, we evaluated the efficiency of targeted genetic modification using the CRISPR/Cas9 genome editing system in several of these cultivars. We demonstrate that our optimizations led to successful transformation of several heirloom varieties, including the generation of edited plants for target genes modifying plant architecture and flowering time. Our results set the foundation for a biotechnology platform to deliver improved traits to local and regional heirloom varieties using genome editing.

plant biology↗

bioRxiv2026

Autoregressive forecasting of future single-cell state transitions

Predicting future cell state transitions from static transcriptomic snapshots is vital for understanding and steering cellular dynamics. Although existing trajectory and RNA velocity methods can infer local transitions within observed data, they are fundamentally limited in extrapolating long-range cellular dynamics. Here, we introduce CellTempo, an autoregressive generative framework that enables long-range forecasting of cell state trajectories directly from static transcriptomic snapshots. CellTempo is pretrained on scBaseTraj, a large-scale collection of multi-step cellular transition sequences constructed by integrating diverse experimental technologies and data sources. Across diverse biological systems, CellTempo accurately predicts long-range lineage progression and reconstructs unseen cellular potential landscapes. It further distinguishes transient perturbation responses from long-term cell-fate changes, enabling prioritization of candidate compounds for cell-fate engineering. These results demonstrate that long-range cellular dynamics are inferable from static observations, establishing a foundation for predictive and controllable modeling of cell fate.

bioinformatics↗