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Dong, L.

Publications and source records attributed to Dong, L..

At least 37 records · Page 2Linked to original sources

Glucokinase links metabolism and lineage plasticity in neuroendocrine prostate cancer via interaction with AKT1

Cancer cells frequently rewire their metabolism to sustain growth and survival under stress. Despite the critical role of metabolic adaptation in tumorigenesis, how specific metabolic enzymes regulate lineage plasticity remains unclear. Here, through FDG-PET imaging and transcriptomic analyses, we reveal markedly elevated glucose uptake in neuroendocrine prostate cancer (NEPC) and identify glucokinase (GCK) as a MYCN-induced metabolic enzyme. Beyond its metabolic role, GCK is indispensable for maintaining the neuroendocrine lineage of prostate cancer cells by establishing a functional circuit with AKT1 through reciprocal regulation--AKT1 binds and phosphorylates GCK at S373, whereas GCK phosphorylates AKT1 at S473. Pharmacological disruption of this AKT1-GCK axis suppresses tumor growth in NEPC mouse models and patient-derived xenografts. Altogether, our findings uncover both the metabolic and noncanonical kinase functions of GCK and establish the AKT1-GCK axis as a key link between metabolic reprogramming and neuroendocrine lineage transition in prostate cancer.

cancer biology↗

Spent Mushroom Substrate Adsorbs Fusaric Acid to Protect the Cucumber Rhizosphere Microbiome and Alleviates Fusarium Wilt

Caused by Fusarium oxysporum f. sp. cucumerinum, cucumber Fusarium wilt threatens cucumber production worldwide. In addition to pesticides, using spent mushroom substrate (SMS) has a protective effect against Fusarium infection in cucumber, partly through effects on the microbiome. Fusaric acid (FA), a phytotoxic virulence factor secreted by Fusarium, disrupts both plant physiology and the rhizosphere microbial community. Herein, we investigated the relationship between SMS and this virulence factor. Bioassays demonstrated that SMS adsorbed FA both in culture supernatants and in soil. Adsorption behaviour conformed to the Langmuir-Freundlich isotherm model, with a maximum adsorption capacity of 52.72 g/g. Kinetics followed a pseudo-second-order model, indicating physical and chemical adsorption. Scanning electron microscopy showed that SMS had a porous surface, facilitating FA capture. Fourier transform infrared spectroscopy and chemical blocking assays were used to identify secondary amide groups as the key binding sites. In a dual-compartment pot system designed to isolate adsorption from other direct effects, SMS treatment significantly reduced the FA concentration in the cucumber rhizosphere and mitigated FA-induced disease aggravation. This lowered the disease index by up to 25%. Bacterial 16S metabarcoding showed that FA disrupted the rhizosphere bacterial diversity and community structure. However, when FA was adsorbed by SMS, the microbial diversity and community stability were restored. FA reduced the abundance of sensitive taxa such as Bacillus. Meanwhile, SMS-adsorbed FA preserved its relative abundance, suggesting a selective protective effect for FA-sensitive rhizobacteria. These findings indicate that SMS protects cucumber against Fusarium by alleviating FA toxicity toward beneficial microbes. Through FA adsorption, SMS amendment stabilised the rhizosphere microbial community and reduced disease incidence. This highlights the potential of SMS as a sustainable and microbiome-friendly strategy for managing soil-borne diseases.

microbiology↗

A Solanoeclepin A precursor functions as a new rhizosphere signaling molecule recruiting growth-promoting microbes under nitrogen deficiency

Solanoeclepin A (SolA) is a triterpenoid exuded from the roots of Solanaceae plants, originally identified as hatching stimulant for plant parasitic cyst nematodes. Assuming that evolution would have selected against the production of such a fitness lowering molecule, we postulated that SolA must serve another, beneficial, role for the plant. In this study, we demonstrate that nitrogen (N) deficiency strongly increases the SolA concentration in tomato root exudate. Moreover, SolA is produced only under non-sterile conditions, indicating that soil microbiota are involved in its production. Time-resolved RNAseq analysis revealed several candidate genes for SolA biosynthesis, which were all upregulated under N deficiency. Transient silencing of two SolA biosynthetic genes (e.g., CYP749A19 and CYP749A20) significantly reduced SolA production. Microbiome analysis on the rhizosphere of these plants demonstrated that the recruitment of beneficial Massilia spp. was inhibited in the transiently silenced plants. Isolation of a Massilia strain, identified as Massilia cellulosiltytica, allowed us to show that it has growth-promoting activity under N deficiency, likely via indole-3-acetic acid production and enhanced N acquisition. Root exudate of N-starved tomato displayed strong chemotactic activity towards this strain. Together, these findings demonstrate that SolA production under N deficiency relies on the interaction between tomato and soil microbiota that convert a plant-produced precursor that is a recruitment signal for beneficial, growth-promoting microbes to SolA, which was hijacked by cyst nematodes as a reliable host presence cue. This dual functionality resembles the microbial transformation of primary into secondary bile acids, important signalling molecules, in the gut of animals, and suggests convergent evolution in host-microbe co-metabolism. Overall, our study positions SolA as a multifunctional signaling molecule in rhizosphere interactions, with potential application for enhancing crop resilience and sustainable pest management.

plant biology↗

MS4MS: LLMs-driven Multi-agent System for Small-molecule Identification via LC-MS/MS

Small molecule identification is central to research fields such as drug discovery, but in complex systems like Traditional Chinese Medicine (TCM), traditional mass spectrometry analysis methods remain constrained by bottlenecks including insufficient database coverage, fragmented analysis workflows, and poor result interpretability. To address these limitations, we developed MS4MS, a large language model-driven multi-agent system that enables an end-to-end automated pipeline from raw data to small molecule identification. Validation on a public benchmark demonstrates that MS4MS achieves state-of-the-art performance in molecular formula prediction. Furthermore, its innovative small molecule identification agent enables efficient and interpretable compound elucidation. Verification using herbal extracts indicates MS4MSs outstanding performance regarding analytical coverage and the discrimination of isomers. Consequently, MS4MS offers a novel, accurate, interpretable, and high-throughput end-to-end automated strategy for small molecule identification, overcoming the analytical bottlenecks of traditional mass spectrometry in natural products and complex TCM systems.

bioinformatics↗

Rapid ecosystem collapse and biofilter formation following seabed methane leakage

Globally, vast amounts of methane are trapped within subseafloor gas hydrates. Recent evidence suggests that climate- and human-induced perturbations can destabilize gas hydrates and trigger methane release, yet the response of deep-sea ecosystems to these changes remains poorly understood. Here we show multi-year in situ monitoring of seabed ecosystem following methane leakage induced by hydrate exploration activities. Within just two years, benthic microbial and eukaryotic diversity in the affected areas declined significantly, while microbial and macrofaunal abundance increased. Integrated geochemical and omics analyses reveal the rapid successional shift of seabed ecosystem to a novel chemosynthetic system. Aerobic methanotrophs (Methyloprofundus) co-established with unexpectedly fast growing anaerobic methanotrophic archaea (ANME-3), accompanied by a rapid recruitment of opportunistic polychaetes that bioirrigated the seabed to >50 cm depths. The active animal-microbe interactions sustained exceptionally high rates of methane oxidation that utilized diverse electron acceptors. We demonstrate that methane hydrate destabilization can trigger rapid collapse of native seabed ecosystem while driving the formation of an effective methane biofilter consuming this potent greenhouse gas much faster than previously estimated. Understanding seabed ecosystem response and feedback is critical for predicting benthic methane cycling under ongoing global change and for developing sustainable strategies for methane hydrate resource management.

ecology↗

The Cortical Temporal Axis: MEG-Based Cross-Frequency Gradients with Biological Anchors

Neural oscillations have long been used to characterize the temporal dynamics of individual brain regions, yet a parsimonious, system-level representation that integrates multi-rhythmic activity has been lacking. Using source-localized resting-state magnetoencephalography (MEG) data, we computed regional power spectra and assessed spectral similarity, then applied diffusion map embedding to construct cross-frequency neurophysiological gradients that place whole-brain oscillations within a unified, low-dimensional coordinate system. We found the first three gradients accounted for over 40% of the variance, remained stable across individuals, and aligned with established functional, structural, and geometric cortical axes. Computational modeling showed that these gradients reflect local excitation-inhibition balance, while multimodal analyses revealed strong associations with neurotransmitter receptor distributions, cytoarchitecture, and cell-type-specific gene expression. Lifespan analyses further demonstrated systematic gradient reorganization, with distinct cognitive mappings onto functions such as language, memory, and multisensory integration. Clinically, Parkinsons disease patients displayed disrupted gradients, particularly in regions linked to language and social cognition. Finally, these gradient patterns exhibited high test-retest reliability. These findings establish MEG-derived neurophysiological gradients as robust, low-dimensional representations of cortical organization, offering a biologically grounded framework for studying brain aging and disease.

neuroscience↗

Nurture over nature in new Micromonospora spp. strains metabolism: multi-omics analyses reveal fermentation conditions as the dominant driver over phylogeny

The genus Micromonospora, a key member of the actinomycetes, has demonstrated considerable potential for natural product biosynthesis. In this study, we isolated 15 Micromonospora spp. strains from desert soil and marine sediment samples, eight of which represent four novel species. To explore the biosynthetic capacity of this genus, we performed an integrated analysis of Micromonospora reference genomes. Pan-genomic analysis further unveiled the core biosynthetic characteristics of the genus responsible for producing terpenes and polyketides. Further multi-omics investigation, combining genomic and metabolomic data, uncovered a positive correlation between phylogenetic relationships and biosynthetic potential, alongside a decoupling of metabolic profiles. Notably, metabolomic findings emphasized the dominant influence of culture conditions on the expression of biosynthetic capabilities. Overall, our study provides a comprehensive elucidation of the biosynthetic potential of the genus Micromonospora and highlights the value of investigating novel strains and applying diverse cultivation strategies in natural product discovery. ImportanceOur study provides a comprehensive genomic and metabolomic elucidation of the significant biosynthetic potential within the genus Micromonospora. It reveals a core biosynthetic capacity for terpenes and polyketides that is phylogenetically linked, whereas the resulting natural product repertoire is subject to strong modulation by cultivation conditions. These findings underscore the critical importance of exploring novel species and employing diverse cultivation strategies to unlock the full potential of microbial resources for natural product discovery.

microbiology↗

What kind of birds are more susceptible to avian malaria? A global analysis based on interpretable machine learning approach

AbstractO_ST_ABSAimC_ST_ABSAvian malaria (genus Plasmodium) is a mosquito-transmitted parasitic disease of birds. It has a wide distribution across the world, infecting more than 2,400 bird species, posing a great threat to bird health. However, over half of bird species have a cumulative sample size of fewer than 20 individuals, leading to a limited understanding of the global patterns and mechanisms of their susceptibility to avian malaria. Our aim is to use interpretable machine learning to identify the global ecological and evolutionary drivers shaping species-level avian malaria susceptibility in birds. Location Global. Time period 1994-2023. Major taxa studied Global bird species and their malaria parasites (genus Plasmodium) MethodsBased on infection data and traits from 72,406 birds of 2,544 species worldwide, we developed an interpretable machine learning (IML) approach to identify the global drivers of species-level susceptibility and their trends. We further applied our model to predict the susceptibility of bird species with a sample size of less than 30 and tested multiple hypotheses related to differences in parasite susceptibility in birds. ResultsOur model distinguished susceptible birds with moderate accuracy (F1 score = 0.72) and predicted 752 bird species to be highly susceptible to avian malaria, including 16 threatened species. Susceptibility showed a moderate but significant phylogenetic signal, with most susceptible species belonging to Passeriformes. Highly susceptible species were generally characterized by larger body size, omnivory, ground-foraging behavior, wider geographic ranges, and medium diversification rates. Main ConclusionsWe show that ecological and evolutionary factors together shape species-level susceptibility of birds to avian malaria. Interpretable machine learning integrating host traits offers a global insights into infection mechanisms and supports the development of more precise surveillance and control strategies.

ecology↗

Quantitative Prevalence, Chemical Speciation, and ECM-Embedded Networks of Biogenic Silicon in Animal Tissues Revealed by Refined Analytical Methods

Silicon, abundant in Earths biosphere, plays crucial roles in many organisms. However, its biological functions in animals remain inadequately characterized, primarily constrained by methodological limitations in quantifying, identifying, and visualizing biogenic silicon in tissues. Here, we refined the molybdenum blue colorimetric method (MB) for more accurate silicon quantification, developed integrated mass spectrometry techniques to delineate chemical natures of biogenic silicon, and optimized micro-X-ray fluorescence (micro-XRF) imaging for spatial mapping in animals. Employing these methodologies, we demonstrated that silicon abundance in animals substantially exceeds prior estimates--surpassing essential elements like iron. We also revealed the chemical architectures of diverse silicon compounds and visualized tissue-specific distributions in mice and humans, indicating its predominant localization within extracellular matrix (ECM) and suggesting the formation of silicified networks. These findings establish silicon as a structurally and quantitatively significant element with profound biological implications, warranting its recognition as an essential factor in human physiology and pathology.

biochemistry↗

Profiling of terminating ribosomes reveals translational control at stop codons

Accurate termination of protein synthesis is paramount for the integrity of cellular proteome, yet the dynamics and fidelity of ribosome termination remain poorly understood. Here, we establish a profiling strategy to capture terminating ribosomes in mammalian cells and reveal a substantial heterogeneity in ribosome pausing at individual stop codons. We identify a sequence motif upstream of the stop codon that promotes termination pausing, a finding validated by massively paralleled reporter assays. Unexpectedly, reduced termination pausing increases the likelihood of stop codon slippage, giving rise to proteins with heterogenous C-terminal extensions. Mechanistically, we show that sequence-dependent termination pausing arises from post-decoding mRNA scanning by the 3 end of 18S rRNA. We further uncover tissue-specific patterns of termination pausing that correlates with the stoichiometry of Rps26, which modulates mRNA:rRNA interactions. Together, these results establish termination pausing as a distinct translational signature shaped by mRNA sequence contexts, ribosome heterogeneity, and cell type-specific translational control.

biochemistry↗

A ratio-based framework using Quartet reference materials for integrating long- and short-read RNA-seq

Long-read RNA sequencing (lrRNA-seq) enables full-length transcript profiling but is confounded by technical batch effects that compromise quantification and prevent data integration across platforms, protocols, and laboratories. The lack of a transcriptome-wide biological ground truth has hindered objective benchmarking. To address these dual challenges, we leveraged certified Quartet reference materials to generate one of the largest multi-center lrRNA-seq resources to date: over one billion long reads from 144 libraries across four PacBio and Nanopore protocols in four independent laboratories. We first establish that ratio-based quantification against built-in reference samples effectively removes technical noise, revealing underlying biological signals. We then constructed the first ratio-based reference datasets for full-length transcripts-- comprising 10,218 isoforms and 6,032 alternative splicing (AS) events--and orthogonally validated them with RT-qPCR. Finally, a comprehensive benchmark using these ground truths reveals that a hybrid strategy integrating long- and short-read data (hybrid-seq) achieves the highest quantification accuracy for both isoforms and AS events. Our work provides a foundational framework and resource for evaluating lrRNA-seq technologies and accelerating the standardization of full-length transcriptomics for research and clinical applications.

genomics↗

Seq2Karyotype (S2K): A Method for in-silico Karyotyping Using Single-Sample Whole-Genome Sequencing Data

DNA abnormalities characterized by cytogenetic imaging at the single cell resolution, i.e. karyotyping, have long served as cancer diagnostic and prognostic biomarkers. To enable in-silico karyotyping using unpaired whole-genome sequencing data, we developed Seq2Karyotype (S2K), a tool that fits karyotype models with clonality estimation based on read-depth and allelic imbalance in a bulk sample and supports visualization-guided refinement. Analysis on 19 adult and pediatric cancer cell lines revealed unexpected intratumoral heterogeneity involving multiple copy number variation (CNV) states including whole-genome duplication, which were validated by imaging and single-cell omics profiling. Analyses on patient samples showed high concordance with clinical cytogenetic reports for acute myeloid leukemia, and revealed evolutionary trajectories from multi-region metastatic neuroblastomas implicating reversion. These findings highlight extensive and dynamic intratumoral heterogeneity contributed by CNV in both cell line models and patient samples, which may inform future research on tumor evolution under selective pressure such as drug exposure.

bioinformatics↗

An activated wheat CCG10-NLR immune receptor forms an octameric resistosome

Nucleotide-binding and leucine-rich repeat (LRR) receptors (NLRs) are widespread intracellular immune sensors across kingdoms. In plants, the G10-type coiled-coil (CCG10)-NLRs form a distinct phylogenetic clade that remains poorly characterized. Here, we identified a gain-of-function (GOF) mutant of Wheat Autoimmunity 3 (WAI3), designated WAI3GOF, which encodes a constitutively activated CCG10-NLR protein due to an amino acid substitution. Cryo-EM structural analysis revealed that activated WAI3 assembles into a distinctive octameric resistosome. Arabidopsis RPS2, another CCG10-NLR, also forms an octamer, indicating a conserved structural property across monocot and dicot plants. The WAI3 resistosome mediates a prolonged and sustained increase in cytosolic calcium influx, facilitated by a unique channel architecture arising from its divergent CC domain configuration. Notably, this domain arrangement may be shared by many plant NLRs that lack the conserved EDVID motif in their CC domains. Our findings uncover a previously uncharacterized resistosome structure and provide insights into plant immune receptor plasticity.

plant biology↗

Post-biting behavioral reprogramming underlies reproductive efficiency in Aedes aegypti mosquitoes

The global spread and increasing populations of disease vector mosquitoes expose hundreds of millions of people to mosquito-borne illnesses each year. Female Aedes aegypti mosquitoes, global vectors of dengue, require protein from host blood to support egg development and undergo repeated cycles of blood-feeding and egg-laying. After biting, females temporarily alter their behavioral state and suppress host-seeking while using blood-derived nutrients to develop eggs. Host-seeking suppression ends once eggs are laid. While this period has generally been thought of as one of behavioral inactivity, we reveal that it instead reflects behavioral reprogramming, during which females transition from post-blood-meal inactivity into active searching for egglaying sites. Females with mature eggs show a distinct behavioral state characterized by increased locomotor activity and a shift in circadian behavioral timing, leading to nocturnal humidity-seeking and egg-laying in an otherwise diurnal species. We show that the circadian clock gene cycle is critical for regulating this transition; its absence disrupts the timing of oviposition behaviors, leading to poor site selection and reduced predicted offspring survival. These findings suggest that during egg development, circadian clock-dependent behavioral reprogramming triggers nocturnal hyperactivity and oviposition site search, an essential process for mosquito reproduction and population viability.

neuroscience↗

Behavioral heterogeneity in host-seeking and post-feedingsuppression among disease vector mosquitoes

Female mosquitoes seek out vertebrate hosts and consume their blood to obtain nutrients necessary for egg production, but host preference and host-seeking strategies differ markedly across species. These behaviors are also modulated by internal physiological states, such as the suppression of host-seeking after a full blood meal, a phenomenon that varies in timing and duration across mosquito species. We established a behavior monitoring and classification pipeline to systematically compare baseline host-seeking behavior and post-blood meal suppression in Aedes, Anopheles, and Culex mosquitoes. We found distinct behavioral signatures and notable interspecific differences in the onset and duration of host-seeking suppression. While Aedes and Anopheles host-seeking behaviors have been extensively studied in laboratory settings, comparable behavioral data for Culex have been limited, making direct comparisons across all three genera difficult. Our findings establish a unified behavioral framework for mosquito host-seeking across key vector species, providing insight into the ecological and physiological factors that shape host interaction and offering a foundation for improved modeling of disease transmission and vector control.

animal behavior and cognition↗

Establishing a Digital PCR-Based Reference Measurement Procedure for Monkeypox Virus: An Inter-laboratory Assessment and Standardization Study

The accurate detection of monkeypox virus (MPXV) is crucial for effective viral diagnosis and epidemic prevention. Currently, the field lacks standardized reference methods for MPXV quantification, as well as reliable pseudovirus reference materials (RMs) to ensure quality control throughout the detection process. To address this, we developed a droplet digital PCR (ddPCR) reference measurement procedure (RMP) for precise quantification of MPXV genes B6R, which demonstrates excellent performance with a wide dynamic range (11-1.24x104 copies/L), strong linearity (R2=0.9984), and a low limit of quantitation (11 copies/L, CV[&le;]25%). Repeatability tests confirmed high precision, with inter-laboratory CVs <10% across nine labs using different dPCR platforms. recovery efficiencies for B6R and F3L were [~]69%, with uncertainties incorporated into final measurements. The homogeneity assessment showed good results (CV=2.94%), and stability studies confirmed the stability of the sample during -70 {degrees}C and short-term storage (4 {degrees}C/-20 {degrees}C). Mandels statistical data shows that the reproducibility between laboratories is consistent. This validated ddPCR RMP provides metrological traceability, ensuring reliable and comparable results for MPXV diagnosis and supporting public health efforts.

molecular biology↗

Intranasal Dantrolene Nanoparticles for Treatment of Amyotrophic Lateral Sclerosis as a Disease-Modifying Drug

Calcium dysregulation, caused by pathological activation of ryanodine receptors, contributes to motor neuron degeneration, motor dysfunction, and muscle weakness in SOD1-G93A transgenic amyotrophic lateral sclerosis (ALS) mice. This study investigates the therapeutic efficacy of intranasally administered dantrolene nanoparticles, a ryanodine receptor antagonist, on motor neuron function, muscle strength, spinal cord degeneration, and survival outcomes. Male and female C57BL/6SJLF1 non-transgenic control and SOD1-G93A ALS transgenic mice were assigned to one of three experimental groups: 1) NO TX: No treatment control; 2) IN-DAN: Intranasal administration of dantrolene in the Ryanodex formulation vehicle (RFV), at a dosage of 5mg/kg, administered daily from ages 90-120 days; 3) IN-VEH: Intranasal administration of RFV alone (as a vehicle control), following the same dosing schedule as the IN-DAN condition. Body weight and general motor function were monitored weekly, with survival recorded daily throughout the treatment period. At the treatment conclusion, neurological function was comprehensively evaluated using a standardized neurological scoring system. Motor coordination and balance were assessed using the balance beam test (beam widths of 12 mm and 6 mm) and the rotarod test. Muscle strength was evaluated by measuring grip force using the Kondziela inverted screen test. After behavioral testing, spinal cord tissues were collected for analysis. The levels of neurofilament light chain (NFL), a skeletal neuron protein, and spinal cord weight were determined to measure spinal cord degeneration. Compared to non-transgenic control mice, SOD1-G93A mice exhibited significantly elevated neurological scores, indicating severely impaired neurological function. This deterioration was robustly and significantly ameliorated by IN-DAN treatment by 90% (P<0.0001). Similarly, ALS mice demonstrated impairments in motor coordination and balance on the beam balance test, with dramatic and significant increases in crossing time and the number of foot slips. These impairments were greatly and significantly mitigated by IN-DAN treatment, by 78% in crossing time (P<0.0001) and 84% in the number of slips (P<0.0001) on the 12 mm-wide beam, but not by the vehicle control. ALS mice demonstrated progressive body weight loss as well, which was similarly reversed by IN-DAN treatment, but not by the vehicle control. Muscle strength, as measured by grip force, was significantly reduced in ALS mice but robustly preserved IN-DAN treatment, which prevented the decrease by 213% (P<0.0001), while the vehicle control had no effect. Spinal cord weight was significantly reduced in ALS mice, a trend reversed by intranasal dantrolene nanoparticle treatment, but not by the vehicle control. Survival analysis revealed that 100% of control mice survived through the 30-day treatment period (up to 120 days of age), while survival in untreated or vehicle-treated ALS mice dropped to 67%. In contrast, ALS mice treated with intranasal dantrolene nanoparticles demonstrated a significantly improved survival rate of 89%. Thus, intranasal dantrolene nanoparticle treatment significantly and robustly improved neurological outcomes in SOD1-G93A ALS mice, inhibiting neurological impairment, motor dysfunction, balance deficits, and muscle weakness. These improvements were associated with a marked inhibition of spinal cord weight loss. Additionally, dantrolene treatment reversed body weight loss and significantly improved survival probability in ALS mice.

pharmacology and toxicology↗

Splicing variants in MYRF cause partial loss of function in the retinal pigment epithelium

Myelin Regulatory Factor (MYRF) regulates retinal pigment epithelial (RPE) development and variants in the C-terminus are linked to isolated nanophthalmos, while loss-of-function variants cause syndromic disease. To define the molecular mechanism of this discrepancy, in vitro and animal studies were performed on a pathogenic C-terminal variant (p.Gly1126fs30* or dG-MYRF). ARPE-19 cells transduced with dG-MYRF revealed reduced target gene expression compared to WT-MYRF, with reduced steady state levels of C-terminal MYRF cleavage product, but intact cleavage and localization. A homozygous humanized MYRF C-terminal (MyrfhumdG/humdG) mouse model was embryonic lethal by embryonic day (E) 18.5, while humanized wildtype (MyrfhumWT/humWT) showed normal expression and survival. Bioinformatic analysis on integrated single cell RNA-seq from humanized E17.5 and knockout Rx-Cre;Myrffl/fl (E15.5 and P0) mice supported shared differentially expressed genes with decreased effect size in MyrfhumdG/humdG eyes. These findings, and the viability differences, support that dG-MYRF is a hypomorphic allele. Further, two novel MYRF splicing variants were identified in families with isolated nanophthalmos, with one confirmed to alter 40% of spliced transcripts, creating a nonfunctional isoform. These cases corroborate that isolated nanophthalmos results from hypomorphic alleles of MYRF, supporting a tissue-specific threshold effect and suggests that the C-terminus has unique roles in the RPE.

genetics↗