Biology subjects

Bai, J.

Publications and source records attributed to Bai, J..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Non-enzymatic ABHD6 interacts with Akt-FoxO1 axis to regulate selective hepatic insulin resistance

The enzymatic function of ABHD6 on insulin secretion and insulin resistance is well documented. However, its non-enzymatic function, especially its effects on selective hepatic insulin resistance and metabolic dysfunction-associated steatotic liver disease (MASLD) is completely unexplored. ABHD6 is elevated under conditions of diet-induced obesity and aging. To define the role of ABHD6 in liver physiology, we generated liver-specific ABHD6 knockout mice, as well as liver specific overexpression of native and enzymatic inactive mutant ABHD6 mouse models. We demonstrated that ABHD6 is an unidentified regulator of selective hepatic insulin resistance and contributes to MASLD and liver fibrosis. Furthermore, we found that non-enzymatic ABHD6, rather than its enzymatic form, contributes to this regulation. Mechanistically, we found that ABHD6 translocated into the nucleus and interacted with Akt/FoxO1 axis to regulate its function. In addition, knockdown of FoxO1 in primary hepatocytes or overexpression of constitutively active mutant FoxO1 by AAV approach could completely abolish the effects of ABHD6 on glucose tolerance and gluconeogenesis. Our study reveals an entirely different mechanism underlying selective hepatic insulin resistance that involves a previously unknown non-enzymatic function of ABHD6. This study opens an avenue for the development of a novel class of ABHD6 inhibitors to treat MASLD and liver fibrosis. HighlightsO_LIABHD6 expression in the liver is increased with obesity and aging. C_LIO_LIABHD6 manipulation affects selective hepatic insulin resistance, MASLD and liver fibrosis. C_LIO_LINon-enzymatic ABHD6 interacts with Akt/FoxO1 axis to regulate FoxO1 transcriptional activity. C_LIO_LIThe effects of ABHD6 on glucose tolerance and hepatic gluconeogenesis are completely dependent on FoxO1 activity. C_LI

physiology↗

bioRxiv2025

High-throughput in silico screen uncovers key regulators of 3D genome architecture

The vertebrate genome is spatially organized into topologically associating domains (TADs), primarily via cohesin-mediated loop extrusion which typically halts at convergent CTCF binding sites to establish domain boundaries. However, despite the essential roles of CTCF and cohesin in establishing TADs, a long-standing paradox persists: CTCF and cohesin binding sites dramatically outnumber observed TAD boundaries, suggesting the existence of undiscovered architectural factors. To identify such missing factors, we conducted high-resolution in silico screens using C.Origami, a multi-modal AI model for predicting chromatin interactions. Remarkably, we identified ZNF654 and JMJD6 as novel factors uniquely defining TAD boundaries. Experimental validation confirmed that ZNF654, an uncharacterized vertebrate-specific zinc-finger protein, interacts with CTCF to form an architectural protein complex that demarcates chromatin domains. Genetic knockout of ZNF654 weakens TAD boundary strength without influencing other CTCF or cohesin binding sites. JMJD6, a deeply conserved jmjC-family dioxygenase, marks the anchors of the strongest chromatin stripes at both TAD boundaries and enhancer-promoter sites, while deleting JMJD6 weakens or diminishes such interaction signature. These results revealed the long-sought factors that uniquely mark TAD boundary and chromatin interaction anchors which, together with CTCF and cohesin, demarcate chromatin domains during 3D genome organization. Last, the evolutionary trajectory of ZNF654 and JMJD6 offers key insight into the evolutionary origins of 3D genome organization across metazoan species.

genomics↗

bioRxiv2025

Optimization of fermentation conditions for Metarhizium robertsii and its effect on rice growth

Metarhizium robertsii is an important entomopathogenic fungus and plant endophyte, possessing dual functionality as both an insecticide and a plant growth promoter, which has led to its widespread application in agriculture. However, the effects and underlying mechanisms of M. robertsii (MAA)in promoting rice growth remain poorly understood. This study confirmed the growth-promoting effects of MAA and its fermentation supernatant on rice. Based on single-factor and response surface methodology experiments, the fermentation conditions of MAA were subsequently optimized using rice root length as a key indicator, and the potential mechanisms behind this growth promotion were preliminarily investigated. The results demonstrated that both MAA and its fermentation supernatant exerted significant growth-promoting effects on rice. Sucrose and peptone were identified as the optimal carbon and nitrogen sources, respectively. The most pronounced effect was observed when the fermentation supernatant, produced under the conditions of pH 6.0, 0.2% {beta}-Ala, and 100 mol/L Al2(SO4)3, was applied, resulting in a 21.7% increase in rice root length compared to the control group. Furthermore, significant enhancements in chlorophyll content and denser root hairs were recorded in rice treated with the MAA fermentation supernatant, with the chlorophyll content increasing by 28.17% compared to the control. These findings provide a theoretical basis for the development and application of green and efficient bio-inoculants. IMPORTANCEMetarhizium robertsii is an endogenous plant fungus that can be effective for efficient insect control, but the plant-promoting effect of this fungus and its related studies are less reported. The colonization ability and growth promotion effect of Metarhizium robertsii on different crops vary. In this study, a sterile hydroponic system for rice was established. The research found that Metarhizium robertsii can colonize the root system of rice, significantly promoting rice growth, and its growtion-promoting effect is affected by the differences in its fermentation products. After the optimization of the response surface of the fermentation conditions of Metarhizium robertsii, its growth-promoting ability increased by 21.7%. Developing microbial biofertilizers/biopesticides as a basis for reducing chemical inputs in rice cultivation.

microbiology↗

bioRxiv2025

A Tonic Signaling Code Predicts CAR-T Cell Efficacy in Diffuse Midline Glioma

Diffuse midline glioma (DIPG/DMG) is a uniformly fatal pediatric brain tumor with no effective cure. Although CAR T-cell therapy shows promise, clinical outcomes remain inconsistent due to limited persistence and premature exhaustion. Reliable predictive biomarkers are lacking, and proposed exhaustion or stemness markers provide limited utility. Here, we systematically compare multiple CAR-T constructs targeting clinically-relevant antigen B7-H3 and identify antigen-independent CAR activation, or tonic signaling, as a key determinant of therapeutic performance. We find that B7-H3 CAR-T cells with restrained tonic signaling display superior tumor killing, persistence, and resistance to exhaustion, along with reduced CAR membrane clustering, in patient-derived DIPG models. Integrated multi-omics and single-cell profiling further reveal a CAR-T tonic signaling-associated gene signature that outperforms conventional exhaustion or stemness markers in predicting therapeutic efficacy across multiple clinical trials, including DIPG and other tumor types. Together, these findings define a mechanistic and predictive framework to guide CAR design and improve clinical outcomes.

cancer biology↗

bioRxiv2025

NQO1 phase condensation promotes stress granule assembly to facilitate pancreatic carcinogenesis

G3BP1 promotes pancreatic ductal adenocarcinoma (PDAC) tumorigenesis driven by oncogenic KRAS mutations through liquid-liquid phase separation (LLPS)-mediated assembly of stress granules (SGs). However, the regulatory mechanisms remain elusive. We identify the antioxidant enzyme NAD(P)H quinone dehydrogenase 1 (NQO1) as a novel SG regulator that enhances SG assembly in pancreatic cancer cells independently of reactive oxygen species (ROS). Mechanistic studies reveal that NQO1 does not regulate the expression of G3BP1 or other SG-associated genes. Instead, NQO1 undergoes LLPS dependent on its RNA-binding K homology (KH) like domain. Further analysis demonstrates that residues 121-131 of NQO1 directly interact with G3BP1s RNA-binding domain (RBD), enhancing the multivalency of G3BP1 complexes to potentiate LLPS-driven SG assembly. This interaction accelerates cell proliferation, KRAS mutation-induced acinar-to-ductal metaplasia (ADM), and pancreatic carcinogenesis. Notably, the interaction between NQO1 residues 121-131 and G3BP1s RBD is essential for NQO1 phase condensation under stress condition. Integrative analysis of human PDAC transcriptomic datasets reveals a weak association between NQO1 and G3BP1 levels. Importantly, both NQO1 and G3BP1 formed biological condensates and co-localized in the lesions of human PDAC tissue sections. Our study uncovers a novel KRAS mutation-driven mechanism of pancreatic carcinogenesis through the lens of phase separation, transcending conventional gene expression regulation and offering new insights into non-canonical KRAS-NQO1-G3BP1-SG regulatory networks in PDAC initiation.

cancer biology↗

bioRxiv2025

Deep Learning Driven Investigation of Nanoplastic Impacts on Soil Protist Behavior in Soil Chips

Nanoplastics are emerging contaminants that have a significant impact on soil microorganisms. To fully understand the effect of plastic contamination on soil ecosystems, it is necessary to advance techniques that can monitor nanoplastic-microbe interactions under realistic conditions. In this work, we investigated the effects of nanoplastic contamination on a community of soil protists monitored through microfluidic soil chips, and analysed changes in their behavior via microscopy videos and a deep learning approach. The presented method employs a deep learning-based detection model combined with a transformer-based matching model for video frame interpolation, enabling accurate reconstruction of protist movement trajectories and velocities within soil chips. The results revealed reduced movement velocities for the groups of flagellates and ciliates under high nanoplastic conditions, a 24-30% reduction at a marginal significance level, while amoebae were unaffected. Our trajectory data provides novel insights into how protists navigate soil-like structures. By facilitating comprehensive assessments of protist-environment interactions, it opens new avenues for understanding their ecological roles and the broader implications of hazardous contaminants in both soil and aquatic ecosystems at microbial community level without need for culture extraction. This proof-of-concept system enables continuous, high-throughput monitoring of soil protist behavior and can be readily adapted to investigate protist responses to diverse chemical and physical soil hazards.

ecology↗

bioRxiv2025

Multimodal learning decodes the global binding landscape of chromatin-associated proteins

The identity of a cell is governed by regulatory proteins binding to the genome to control gene expression. Mapping these genome-wide binding events across thousands of proteins and cell types is essential for understanding development and disease at scale, yet has remained a major experimental and computational barrier. Here we present Chromnitron, a multimodal foundation model that learns the rules of protein-DNA binding from protein sequence, DNA sequence, and context-specific chromatin states. Unlike prior single-task and multi-task learning approaches, Chromnitron implements a multimodal learning framework that accurately predicts the binding landscape for proteins and cell types not seen during training. Using Chromnitron, we discovered and experimentally validated new protein regulators of T cell exhaustion. Chromnitron also uncovered previously uncharacterized dynamic shifts in the binding landscape of regulatory proteins during neurogenesis. This marks a critical step toward a predictive model of interpretable gene regulatory programs across cell types, enabling rapid discovery of regulatory circuits and identification of new therapeutic targets.

systems biology↗

bioRxiv2025

Reverse remodelling of the mitochondria and cytoskeleton after respiratory heart rate variability pacing of the failing sheep heart

We have previously demonstrated that pacing the failing sheep heart with respiratory heart rate variability (RespHRV), a natural variability in the heart rate that is linked to respiration on a breath-by-breath basis, improves cardiac output dramatically. In this study, we used proteomics and super-resolution microscopy to explore the role of energetics and T-tubule cellular remodelling in response to ResPHRV pacing in an ischaemic ovine model of heart failure (HF). After 2 weeks of RespHRV pacing, cardiac output improved by 1.1 {+/-} 0.2 L/min (**p=0.003). Sequential Window Acquisition of all Theoretical Mass Spectra (SWATH-MS) was used to probe differences between three groups: HF without any intervention, HF with RespHRV pacing and a healthy control group. Orthogonal Partial Least Squares (OPLS) discriminant analysis demonstrated a clear separation of all three groups by T score (***p<0.001) with the HF+RespHRV pacing group placed intermediate between the HF and control groups. The top 50 proteins negatively correlated with T score (down in HF, restored after RespHRV) were dominated by mitochondrial proteins, as confirmed by Pathway Enrichment Analysis (***p<0.001). Multiple Reaction Monitoring Mass Spectrometry (MRM-MS) analysis confirmed this finding in selected targets (ACAA2, ACADS, CRAT, NDUFA8, and SUCLG1, *p<0.05). STimulated Emission Depletion (STED) microscopy identified a disruption of mitochondria structure in HF (*p<0.05) that was restored in the HF+R group (p=0.051). The area of mitochondria labelling was increased in the HF+RespHRV group compared to HF (**p=0.005). Many cytoskeletal proteins linked to mitochondria regulation and T-tubule remodelling were upregulated in HF and were reduced by RespHRV. MRM-MS was able to confirm these findings for selected targets (ANAXA2, CAVIN2, SPTBN1, TUBA4A). STED microscopy of collagen VI and the ryanodine receptor revealed cellular hypertrophy and remodelling of the T-tubules and cardiac junctions in HF sheep (*p<0.05), RespHRV showed a trend for reversing these structural changes. These data support the hypothesis that within the first two weeks of RespHRV pacing, there is an increase in mitochondrial repair and function coupled with re-organisation of the cellular cytoskeleton, which is consistent with the improvement in cardiac pump function.

cell biology↗

bioRxiv2025

Divergent conformational mechanisms of JAK2V617F and TYK2V678F mutations in Thrombocythemia and related disorders: Molecular Dynamics insights into pathway activation and therapeutic targeting

Thrombocythemia and related disorders are primarily driven by persistent activation of the JAK-STAT signaling pathway, which is frequently associated with valine-to-phenylalanine (VF) point mutations in the JAK2 and TYK2 proteins. However, the precise mechanisms underlying the sustained downstream pathway activation induced by these mutations remain unclear. To investigate this, we employed molecular dynamics simulations and computational biophysical approaches to examine how VF mutations sustain JAK-STAT pathway activation. Our analyses, encompassing energetics, interaction forces, and surface electrostatic charge distributions, revealed that these mutations predominantly alter the spatial conformations and stability of the proteins by modulating inter-dimeric interaction forces and binding free energies. Specifically, the V617F mutation in JAK2 enhanced the stability of the JAK2 dimer and suppressed the activity of the JH2 pseudokinase domain. Similarly, the V678F mutation in TYK2 reducing the binding strength of the JH1 kinase domain and the binding free energy, increasing the binding affinity at the dimer interface. Both mutations ultimately resulted in heightened JH1 kinase domain activity and aberrant activation of downstream signaling pathways. Electrostatic analyses further demonstrated that JAK2V617F strengthened attractive forces within the dimer and TYK2V678F mutation mitigated repulsive forces. Decreased binding free energy confirmed enhanced dimer stability in JAK2V617F and TYK2V678F mutants, driven by distinct mechanisms: reinforced JH2 domain interactions in JAK2V617F and domain compaction with reoriented interfaces in TYK2V678F. These insights delineate the mutation-specific allosteric networks that underpin the pathogenesis of thrombocythemia. Furthermore, they establish a molecular foundation for designing isoform-selective inhibitors that target conformational vulnerabilities, thereby presenting novel therapeutic opportunities. Author SummaryO_LIThe VF mutations located in JAK2 and TYK2 stabilizes the JH2 pseudokinase domain and enhances dimer interfaces to disrupt autoinhibition in JAK2, while it induces structural reorganization of the dimer FERM/SH2 domains and JH1 kinase conformation to promote substrate accessibility in TYK2. C_LIO_LIWe developed a novel multiscale analyses framework, integrating conformational analysis, electrostatic analysis, hydrogen bond and salt bridges, and free energy decomposition, to collaboratively elucidate the effects of VF mutations on the protein multimers. C_LIO_LIThese findings highlights divergent allosteric networks underlying pathogenic signaling, offering a molecular mechanisms for designing isoform-selective inhibitors targeting conformational vulnerabilities in myeloproliferative disorders. C_LI

biophysics↗

bioRxiv2025

CRIS: A Centralized Resource for High-Quality RNA Structure and Interaction Data in the AI Era

As interest in RNA-based therapeutics expands, there is a growing demand for RNA structure elucidation and RNA-RNA interactions in both academic and clinical settings. Despite rapid advances in methods for RNA structure determination, the field faces persistent challenges in data reproducibility, quality control, and accessibility, largely due to inconsistencies in data processing and analysis workflows. Concurrently, methodological improvements have generated increasingly complex datasets, which necessitate a standardized framework. Here, we present the Crosslinking-based RNA Interactomes and Structuromes (CRIS) database, a comprehensive resource designed to address these limitations. Among existing experimental and computational approaches for RNA structure characterization, crosslinking-based technologies offer superior reliability, high throughput, and high resolution. CRIS provides rigorously curated datasets, standardized workflows, and user-friendly tools, together with built-in quality metrics and detailed visualization guidance to ensure reproducibility and transparency while pairing seamlessly with existing experimental pipelines. By delivering high-complexity RNA datasets alongside accessible computational tools, CRIS serves as a standardized reference for both new and existing data, facilitating investigation through comparative analyses and providing a training resource for deep learning-based computational exploration. This will enable integration into machine learning workflows for large scale, novel RNA structure discovery.

bioinformatics↗

bioRxiv2025

The absence of collagen VI reduces systolic function but paradoxically increases Ca2+ release in the rat heart

Collagen VI has recently been strongly linked to poor outcomes in heart failure with preserved ejection fraction through increased endotrophin, a collagen VI-derived signalling molecule linked to fibrotic remodelling in cardiovascular disease. The mutation of collagen VI can result in Ullrich congenital muscular dystrophy and Bethlem myopathy, pointing to critical function in muscle physiology. However, the role of collagen VI in the heart is poorly understood. In human heart failure with reduced ejection fraction, collagen VI is increased within the remodelled T-tubules, suggesting a possible role in tubular structure and Ca2+ dynamics. To test this hypothesis, a global knockout of the collagen VI alpha 1 gene (Col6a1-/-) was generated in the rat. T-tubule structure and ryanodine receptor cluster organisation were unchanged, but echocardiography demonstrated reduced systolic function. Paradoxically, isolated cardiomyocytes from the Col6a1-/- rat had increased Ca2+ transient amplitude and increased sarcoplasmic reticulum Ca2+ load. {beta}-adrenergic stimulation further increased Ca2+ transient amplitude and was associated with diastolic Ca2+ release events in Col6a1-/- cardiomyocytes. The disturbed Ca2+ dynamics are remarkedly similar to defects found in cardiac myocytes of the MDX mouse that has non-functional dystrophin protein. Together, these data suggest that collagen VI contributes to regulation of Ca2+ signalling in the heart through its linkage to the dystrophin-glycoprotein complex.

physiology↗

bioRxiv2025

RNA-triggered fluorescence controlled by RNA switches for real-time RNA expression tracking in living plants

Real-time visualization of RNA dynamics across spatial scales in living plants is desirable yet remains challenging, hindered by the absence of imaging tools that simultaneously offer high sensitivity and deployability in whole living plants. Here, we engineered a modular, RNA-triggered fluorescence (RTF) reporter system de novo for spatiotemporal imaging of RNA from cellular to whole-plant scales in vivo. This system integrates three functional modules: a target-specific allosteric RNA switch, a degradable adapter for background suppression, and a fluorescent reporter. All components are stably expressed from a single vector and assemble in vivo, enabling uniform deployment throughout entire plants. The modified RTF (RTFst) achieves single-molecule sensitivity (signal-to-noise ratio >60) for dynamic tracking of developmentally regulated, tissue-specific, circadian, and stress-responsive mRNAs. Crucially, it enables the first direct, real-time observation of graft-transmissible mRNA trafficking across tissue scales and cross-kingdom transfer of the aphid-secreted long non-coding RNA Ya1 to plant cells. RTF establishes a versatile platform for studying gene regulation, signaling, and transcript mobility in plants, with broad applicability in synthetic biology and crop improvement.

molecular biology↗

bioRxiv2025

AFD Thermosensory Neurons Mediate Tactile-Dependent Locomotion Modulation in C. elegans

Sensory neurons drive animal behaviors by detecting environmental stimuli and relaying information to downstream circuits. Beyond their primary roles in sensing, these neurons often form additional synaptic connections outside their main sensory modality, suggesting broader contributions to behavior modulation. Here, we uncover an unexpected role for the thermosensory neuron AFD in coupling tactile experience to locomotion modulation in Caenorhabditis elegans. We show that while AFD employs cGMP signaling for both thermotaxis and tactile-dependent modulation, the specific molecular components of the cGMP pathway differ between these two processes. Interestingly, disrupting the dendritic sensory apparatus of AFD, which is essential for thermotaxis, does not impair tactile-based locomotion modulation, indicating that AFD can mediate tactile-dependent behavior independently of its thermosensory apparatus. In contrast, ablating the AFD neuron eliminates tactile-dependent modulation, pointing to an essential role for AFD itself, rather than its sensory dendritic endings. Further, we find tactile-dependent modulation requires the AIB interneuron, which connects AFD to touch circuits via electrical synapses. Removing innexins expressed in AFD and AIB abolishes this modulation, while re-establishing AFD-AIB connections with engineered electrical synapses restores it. Collectively, these findings uncover a previously unrecognized function of AFD beyond thermosensation, highlighting its influence on context-dependent neuroplasticity and behavioral modulation through broader circuit connectivity.

neuroscience↗

bioRxiv2024

Motor protein-assisted glycan translocation and sequencing using nanopores

The glycan sequencing remains a significant bottleneck in glycoscience. While nanopore platforms have achieved substantial progress in single-molecule nucleic acid sequencing, their application to glycan sequencing has faced considerable challenges, with limited advancements to date. In this study, we propose a novel strategy for controlling glycan translocation through the MspA nanopore as an initial step toward glycan sequencing. By conjugating the target glycan with a helicase-controlled single-stranded DNA, we successfully achieved sequencing reads of up to eleven glycans. For the first time, we isolated glycan-associated electrical signals, enabling the translocation, stretching, and controlled speed of neutral glycans through the nanopore. This method provides a platform for obtaining glycan read lengths and identifying different glycan modifications, demonstrating the capability to resolve monosaccharide composition and glycosidic linkages. To further improve resolution, we propose engineered M2-MspA to reduce the pore constriction size and enhance precision by minimizing the random thermal motion of the translocating glycan. These modifications are expected to increase the sequencing accuracy and reliability. This work represents the first proof-of-concept demonstration of glycan chain nanopore sequencing and lays a promising foundation for the development of single-molecule glycan fingerprinting and sequencing technologies. We anticipate that this approach will significantly advance the development and commercialization of nanopore-based glycan sequencing techniques.

bioengineering↗

bioRxiv2024

Tissue-specific and functional loci analysis of CASP14 gene in the sheep horn

Under the current context of intensive farming, small-horned animals are more suitable for large-scale breeding. The CASP14 gene, closely associated with skin and keratin formation, may influence horn size due to its link with skin development. This study comprehensively analyzed the tissue-specific expression of CASP14 using RNA-Seq data, identified functional sites through whole-genome sequencing (WGS), and investigated allele-specific expression (ASE) validated by KASP assays. Results showed significantly higher CASP14 expression in the scurred group com-pared to the SHE group, with pronounced expression in the skin. Interbreed comparisons also revealed elevated CASP14 levels in the scurred group. Analysis of potential functional sites indicated structural similarities in the CASP14 protein among horned mammals. Five ASE events were discovered, and intersecting these with SNPs and high fixation index loci (Fst > 0.05) identified three potential functional sites: 7941628, 7941817, and 7941830. The SNP site 7944295 was selected for T-test analysis and further validated through KASP assays, corroborating the role of CASP14 in sheep horn phenotypes. Our findings suggest that CASP14 plays a significant role in horn development, offering insights into breeding strategies for small-horned animals.

zoology↗

bioRxiv2024

A biodegradable and restorative peripheral neural interface for the interrogation of neuropathic injuries

Monitoring the early-stage healing of severe traumatic nerve injuries is essential to gather physiological and pathological information for timely interventions and optimal clinical outcomes. While implantable peripheral nerve interfaces provide direct access to nerve fibers for precise interrogation and modulation, conventional non-degradable designs pose limited utilization in nerve injury rehabilitation. Here, we introduce a biodegradable and restorative neural interface for wireless real-time tracking and recovery of long-gap nerve injuries. Leveraging machine learning techniques, this electronic platform deciphers nerve recovery status and identifies traumatic neuroma formation at the early phase, enabling timely intervention and significantly improved therapeutic outcomes. The biodegradable nature of the device eliminates the need for retrieval procedures, reducing infection risks and secondary tissue damage. This research sheds light on bioresorbable multifunctional peripheral nerve interfaces for probing neuropathic injuries, offering vital information for early diagnosis and therapeutic intervention.

bioengineering↗

bioRxiv2024

TDP43 autoregulation gives rise to shortened isoforms that are tightly controlled by both transcriptional and post-translational mechanisms

The nuclear RNA-binding protein TDP43 is integrally involved in the pathogenesis of amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD). Previous studies uncovered N-terminal TDP43 isoforms that are predominantly cytosolic in localization, highly prone to aggregation, and enriched in susceptible spinal motor neurons. In healthy cells, however, these shortened (s)TDP43 isoforms are difficult to detect in comparison to full-length (fl)TDP43, raising questions regarding their origin and selective regulation. Here, we show that sTDP43 is created as a byproduct of TDP43 autoregulation and cleared by nonsense mediated RNA decay (NMD). The sTDP43-encoding transcripts that escape NMD can lead to toxicity but are rapidly degraded post-translationally. Circumventing these regulatory mechanisms by overexpressing sTDP43 results in neurodegeneration in vitro and in vivo via N-terminal oligomerization and impairment of flTDP43 splicing activity, in addition to RNA binding-dependent gain-of-function toxicity. Collectively, these studies highlight endogenous mechanisms that tightly regulate sTDP43 expression and provide insight into the consequences of aberrant sTDP43 accumulation in disease.

neuroscience↗

bioRxiv2024

Eco-evolutionary Guided Pathomic Analysis to Predict DCIS Upstaging

Cancers evolve in a dynamic ecosystem. Thus, characterizing cancers ecological dynamics is crucial to understanding cancer evolution and can lead to discovering novel biomarkers to predict disease progression. Ductal carcinoma in situ (DCIS) is an early-stage breast cancer characterized by abnormal epithelial cell growth confined within the milk ducts. In this study, we show that ecological analysis of hypoxia and acidosis biomarkers can significantly improve prediction of DCIS upstaging. First, we developed a novel eco-evolutionary designed approach to define habitats in the tumor intraductal microenvironment based on oxygen diffusion distance. Then, we identified cancer cells with metabolic phenotypes attributed to their habitats, including CA9 for hypoxia responding phenotype, and LAMP2b for acid adapted phenotype. Traditionally these markers have shown limited predictive capabilities for DCIS progression, if any. However, when analyzed from an ecological perspective, their power to differentiate between non-upstaged and upstaged DCIS increased significantly. Second, we discovered distinct niches with spatial patterns of these biomarkers and used the distribution of such niches to predict patient upstaging. The niches were characterized by pattern analysis of both cellular and spatial features. With a 5-fold validation on the biopsy cohort, we trained a random forest classifier to achieve the area under curve (AUC) of 0.74. Our results affirm the importance of tumor ecological features in eco-evolutionary-designed approaches for novel biomarkers discovery. SignificanceOur results affirm the importance of spatial and ecological features in eco-evolutionary-designed biomarkers discovery studies in the era of digital pathology.

cancer biology↗