Biology subjects

Tong, J.

Publications and source records attributed to Tong, J..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

AlphaFold3 and RoseTTAFold All-Atom structures enable radiosensitizers discovery by targeting multiple DNA damage repair proteins

Radioresistance remains a primary obstacle in tumor radiotherapy, with no clinically approved radiosensitizers due to toxicity concerns. To identify effective and safe radiosensitizers, a natural products database containing 79,263 compounds are docked against a hybrid target library of four DNA damage response (DDR)-related proteins, comprising both experimental and artificial intelligence (AI)-predicted structures generated by AlphaFold3 and RoseTTAFold All-Atom models. Retrospectively, AI-modeled structures show comparable AUC and logAUC values to experimental structures. Prospectively, compounds screened by AI-modeled structures versus those by experimental structures exhibit limited overlap, e.g., 10% for ataxia telangiectasia mutated (ATM), 22.2% for ATM- and Rad3-related (ATR), 7.7% for DNA-dependent protein kinase catalytic subunit (DNA-PKcs), and 40% for Poly (ADP-ribose) polymerase 1 (PARP1). This highlights structural complementarity of AI-modeled structures when docking against small-scale compound libraries. Two compounds exhibiting lower binding free energy than the DNA-PKcs co-crystallized ligand were selected and validated as effective radiosensitizers in tumor cells. Proteomic analyses reveal shared DDR dysregulation but distinct repair pathway vulnerabilities behind both compounds, which activate TP53-associated apoptosis and senescence as cellular endpoints by modulating the synergistic interplay between DDR and spindle checkpoints. These findings highlight their potential as context-dependent radiosensitizers, providing novel candidates and strategies to overcome tumor radioresistance.

cancer biology↗

bioRxiv2025

Structural and Functional Insights into GGCX-FIX Interaction: Implications for Vitamin K-Dependent Bleeding Disorders

Gamma-carboxylation, catalyzed by {gamma}-glutamyl carboxylase (GGCX), is a critical post-translational modification essential for the biological activity of vitamin K-dependent proteins (VKDPs). Mutations in GGCX, depending on their specific location, result in vitamin K-dependent coagulation factor deficiency type 1 (VKCFD1), which encompasses a broad spectrum of clinical manifestations ranging from mild to severe, including bleeding disorders, osteoporosis, and vascular calcification. The limited knowledge of GGCXs structure and functional regions hinders our understanding of the consequences of GGCX mutations and the treatment for VKCFD1. This study aimed to identify key functional regions of GGCX and their interactions with VKDPs to better elucidate the molecular mechanisms underlying these diverse clinical symptoms. Using AlphaFold 3 and molecular dynamics simulations, we developed a complex binding model of GGCX, FIX, and reduced vitamin K, which revealed critical regions and residues involved in their interaction. Site-directed mutagenesis and cell-based assays further validated the model, confirming that multisite and regional cooperative binding of FIX to GGCX plays a key role in modulating {gamma}-carboxylation efficiency. Additionally, novel residues (I296, M303, M401, M402) were identified as essential for GGCXs dual enzymatic activities: carboxylation and vitamin K epoxidation. We further demonstrated that the spatial proximity of these active sites supports the hypothesis that GGCXs carboxylation and vitamin K epoxidation centers are interconnected, ensuring the efficient coupling of these processes. Our GGCX-FIX binding and carboxylation model aligns with known pathogenic GGCX mutations, providing valuable insights into the molecular basis of coagulation disorders caused by GGCX mutants.

pathology↗

bioRxiv2025

Flaviviruses Hijack HuR to Suppress CNPY3: A Novel Pathway for Immune Evasion and Therapeutic Intervention

Flaviviruses represent a serious global health threat, infecting millions annually with high rates of cross-infection among different flaviviruses, yet no broad-spectrum antiviral therapy currently targets these pathogens. Through biological big data analysis, we observed a significant downregulation of Canopy FGF Signaling Regulator 3 (CNPY3), a positive regulator of defense responses, in flavivirus-infected patients, with the level of downregulation correlating with infection severity. This observation was validated in cellular and animal models. Mechanistically, we demonstrate that flaviviruses hijack the RNA-binding protein Human antigen R (HuR) to destabilize CNPY3 mRNA via adenine-uridine-rich elements (AREs), thus downregulating CNPY3 expression and promoting viral replication. Our findings identify CNPY3 as a novel antiviral mediator essential for the TLR-mediated type I interferon (IFN-I) pathway in defense against flaviviruses. In vitro, CNPY3 overexpression reduced DENV and ZIKV replication, confirming its antiviral role. To explore therapeutic potential, we developed lipid nanoparticles (LNPs) encapsulating CNPY3 mRNA (LNP-CNPY3), and early administration in flavivirus-infected mice improved survival, reduced viral loads, and attenuated neuroinflammation by enhancing antiviral and interferon responses. Together, these findings establish CNPY3 as a critical antiviral target and support LNP-CNPY3 as a promising therapeutic approach against flavivirus infections.

microbiology↗

bioRxiv2024

dGAMLSS: An exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts

There is growing interest in estimating population reference ranges across age and sex to better identify atypical clinically-relevant measurements throughout the lifespan. For this task, the World Health Organization recommends using Generalized Additive Models for Location, Scale, and Shape (GAMLSS) which can model non-linear growth trajectories under complex distributions that address the heterogeneity in human populations. Fitting GAMLSS models requires large, generalizable sample sizes, especially for accurate estimation of extreme quantiles, but obtaining such multi-site data can be challenging due to privacy concerns and practical considerations. In settings where patient data cannot be shared, privacy-preserving distributed algorithms for federated learning can be used, but no such algorithm exists for GAMLSS. We propose distributed GAMLSS (dGAMLSS), a distributed algorithm which can fit GAMLSS models across multiple sites without sharing patient-level data. We demonstrate the effectiveness of dGAMLSS in constructing population reference charts across clinical, genomics, and neuroimaging settings.

bioinformatics↗

bioRxiv2024

Flow-Induced Vascular Remodeling On-Chip: Implications for Anti-VEGF Therapy

Impaired vascular remodeling is linked to tumor progression, impacting the efficacy of anti-vascular therapies. However, the interplay between blood flow and vascular endothelial growth factor (VEGF) in driving vascular remodeling remains unclear. We optimized a human vasculature-on-chip system for long-term perfusion to quantify vascular remodeling under physiologically low and tumor-mimicking high VEGF conditions. Live imaging shows that at low VEGF levels, flow-conditioned vascular networks remodeled like animal models, en-hancing flow velocities. Conversely, static networks lacking flow exhibited continuous growth, loss of network hierarchy, and decreased flow velocities. At tumor-mimicking high VEGF levels, flow-conditioned vessels showed aberrant overgrowth, which was blocked by the anti-VEGF tumor drug bevacizumab, restoring flow-induced remodeling. Without flow, however, high VEGF slowed vessel growth compared to low VEGF, while anti-VEGF treatment restored continuous growth. These findings provide valuable insights into optimizing anti-angiogenic therapies by exploiting VEGF modulation and flow conditions for vascular remodeling and improved tumor treatment.

biophysics↗

bioRxiv2024

Dynamic interplay between RNA N6-methyladenosine modification and porcine reproductive and respiratory syndrome virus infection

N6-methyladenosine (m6A) has attracted significant attention for its role in various biological processes, including RNA stability, translation, and the immune response. Understanding the role of m6A in viral infections is crucial to deep the complex interaction between virus and host cells. Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) is a significant pathogen affecting swine health worldwide. Here, we firstly identified the m6A peaks in the PRRSV genome by m6A RNA immunoprecipitation sequencing (m6A-seq). Seven m6A-enriched regions within the PRRSV genome were detected, with one located in the N protein-coding region and the others distributed across nonstructural protein-coding regions. Notably, the Nsp2-coding region contained the highest m6A peak, spanning approximately 178 nucleotides. Functional analyses demonstrated a positive correlation between m6A modification levels and PRRSV replication in porcine alveolar macrophages (PAMs), as modulating the expression of m6A methyltransferases and demethylases significantly influenced viral replication. Moreover, treatment with the universal methylation inhibitor 3-deazaadenosine (3-DAA) effectively suppressed PRRSV replication, suggesting its potential as a novel anti-PRRSV therapeutic. To further elucidate the role of m6A in PRRSV infection, we analyzed the m6A landscape in PAMs infected with pandemic and highly pathogenic PRRSV strains. Among the 4,677 transcripts exhibiting altered m6A modification levels, the MAPK14 gene as well as other genes in p38/MAPK signaling pathway potentially emerged as the preliminary targets of m6A-mediated epigenetic regulation during PRRSV infection. These findings provide new insights into the epigenetic mechanisms underlying PRRSV infection and may facilitate the development of targeted anti-PRRSV strategies and therapeutics. IMPORTANCEThe involvement of m6A in viral genome has broader implications for our understanding of virus evolution and pathogenicity. The ability of viruses to adapt to their hosts and exploit host cellular mechanisms is a critical factor in their success as pathogens. As m6A is a modification that can be manipulated by both host and virus, studying its role in viral infections may reveal new insights into viral evolution. Understanding how different viruses utilize m6A could inform strategies for developing antiviral therapies that target these interactions. Such therapies could disrupt the ability of viruses to exploit m6A modifications, potentially reducing their virulence and enhancing host defenses.

microbiology↗

bioRxiv2024

Rapid riparian ecosystem recovery in low-latitudinal North China following the end-Permian mass extinction

The greatest mass extinction at the end of the Permian, ca. 252 million years ago, led to a tropical dead zone on land and sea. The speed of recovery of life has been debated, whether fast or slow, and terrestrial ecosystems are much less understood than marine. Here, we show fast reestablishment of riparian ecosystems in low-latitude North China as little as [~]2 million years after the end-Permian mass extinction. The initial ichnoassemblages in shallow lacustrine and fluvial facies of late Smithian age are monospecific, devoid of infaunalization, with apparent size reduction. In the following Spathian, relatively complex, multi-level, structured riverain ecosystems had been rebuilt including medium-sized carnivores, plant stems, root traces, increased ichnological complexity, and significantly increased infaunalization. Specifically, burrowing behavior had re-emerged as a key life strategy not only to minimize stressful climatic conditions, but possibly to escape predation.

paleontology↗

bioRxiv2024

Stacking haplotypes from the Vavilov wheat collection to accelerate breeding for multiple disease resistance

Wheat production is threatened by numerous fungal diseases, but the potential to breed for multiple disease resistance (MDR) mechanisms is yet to be explored. Here, significant global genetic correlations and underlying local genomic regions were identified in the Vavilov wheat diversity panel for six major fungal diseases, including biotrophic leaf rust (LR), yellow rust (YR), stem rust (SR), hemibiotrophic crown rot (CR), and necrotrophic tan spot (TS) and Septoria nodorum blotch (SNB). By adopting haplotype-based local genomic estimated breeding values, derived from an integrated set of 34,899 SNP and DArT markers, we established a novel haplotype catalogue for resistance to the six diseases in over 20 field experiments across Australia and Ethiopia. Haploblocks with high variances of haplotype effects in all environments were identified for three rusts and pleiotropic haploblocks were identified for at least two diseases, with four haploblocks affecting all six diseases. Through simulation we demonstrated that stacking optimal haplotypes for one disease could improve resistance substantially, but indirectly affected resistance for other five diseases, which varied depending on the genetic correlation with the non-target disease trait. On the other hand, our simulation results combining beneficial haplotypes for all diseases increased resistance to LR, YR, SR, CR, TS and SNB, by up to 48.1%, 35.2%, 29.1%, 12.8%, 18.8% and 32.8%, respectively. Overall, our results highlight the genetic potential to improve MDR in wheat. The haploblock-based catalogue with novel forms of resistance provides a useful resource to guide desirable haplotype stacking for breeding future wheat cultivars with MDR.

plant biology↗

bioRxiv2024

GABAAR-PPT1 palmitoylation homeostasis controls synaptic transmission and circuitry oscillation in CLN1 disease

CLN1 disease, also called infantile neuronal ceroid lipofuscinosis, is a fatal neurodegenerative disease caused by mutations in the CLN1 gene encoding palmitoyl protein thioesterase 1 (PPT1). To identify depalmitoylation substrate of PPT1 is crucial to understand CLN1 disease. In this study, we found that PPT1 depalmitoylates GABAAR 1 subunit at Cystein-260, while binding to Cystein-165 and -179. Mutations of PPT1 or its GABAAR 1 subunit binding site result in enhanced inhibitory synaptic transmission, strengthened and oscillation but disrupted phase coupling in CA1 region and impaired learning and memory in 1- to 2-months-old PPT1-deficient and Gabra1em1 mice. Our study highlights the critical role of PPT1 in maintaining GABAAR palmitoylation homeostasis and reveals a previously unknown molecular pathway in PPT1 induced diseases.

neuroscience↗

bioRxiv2024

The molecular basis of pine wilt disease resistance in Pinus massoniana

Pine wilt disease (PWD), caused by the pine wood nematode (PWN) Bursaphelenchus xylophilus, results in significant economic and ecological damage to Pinus forests and plantations worldwide. Pinus massoniana is the primary host of PWD in southern China, but its response to the PWN remains largely unstudied. Previously, we observed PWD in a P. massoniana nursery that contained over 71 commonly used cultivars. Through field phenotyping, we identified two groups of PWN resistant cultivars. Resistant cultivars (RC) exhibited very low PWN carrying amounts (PCA) and had relatively low mortality, and tolerant cultivars (TC) had high PCA but low mortality. In this study, we confirmed via PWN inoculation assays that the resistant and tolerant cultivars had lower mortality rates, 10% and 11%, respectively, than other cultivars (which had a mortality rate of 83.3%). The RC had a PCA that was significantly lower than that of other cultivars, while the TC exhibited a higher PCA. To explore the molecular mechanisms underlying the response of P. massoniana to PWN, the transcriptome and metabolome of the above cultivars were profiled by high throughput sequencing. As no reference genome is available for P. massoniana, we generated a new full-length transcriptome library with iso-seq. Using the transcriptome and metabolome from different P. massoniana cultivars inoculated with PWN, we found three major PWD resistance strategies. 1) The common response strategy involved three important molecular pathways. First, synthesis of indole-3-acetic acid (IAA) and abcisic acid (ABA) were suppressed during PWN invasion, thus suppressing the synthesis of polysaccharides (especially myo-inositol and trehalose) and (-)-riboflavin through ABC transporters. Second, by inhibiting aspartic acid, the synthesis of arginine and proline through APS5 (aspartate aminotransferase 5) were suppressed. Third, by reducing cysteine, GERD (germacrene D synthase) was up-regulated, and sesquiterpenoid and triterpenoid metabolites were accumulated to resist PWN invasion. 2) The most effective resistance strategy involved the accumulation of reactive oxygen species (ROS), which enhanced jasmonic acid (JA) accumulation and highly induced the expression of chitinase, thus improving resistance to PWN. 3) The tolerance strategy involved the induction of phosphatidylcholine, which promoted flavonoid and anthocyanin synthesis via LPIN (phosphatidate phosphatase), LOX2S (lipoxygenase), and LOX1_5 (linoleate 9S-lipoxygenase), thus significantly inhibiting the pathogenicity of the PWN but not the PCA. These results illustrate the molecular mechanisms by which P. massoniana cultivars resist or tolerate PWN and are of great significance in the prevention and control of PWD.

plant biology↗

bioRxiv2023

Aryl amino acetamides prevent the development of Plasmodium falciparum rings via inhibition of the lipid transfer protein PfSTART1

With resistance to most antimalarials increasing, it is imperative that new antimalarial drugs are developed to replace or complement front-line artemisinin therapies. We previously identified an aryl acetamide compound, MMV006833 (M-833), that inhibited ring development of newly invaded merozoites. Here, we selected parasites resistant to M-833 and identified independent mutations arising in the START lipid transfer protein (PF3D7_0104200, PfSTART1). Introduction of the identified PfSTART1 mutations into wildtype parasites reproduced resistance to both M-833 and highly potent analogues, confirming PfSTART1 mutations were sufficient to confer resistance. The analogues bound to recombinant PfSTART1 with nanomolar affinity. We also demonstrated selective PfSTART1 engagement by the analogues using organic solvent-based Proteome Integral Solubility Alteration (Solvent PISA) assay for the first time in Plasmodium. Imaging of newly invaded merozoites showed the inhibitors prevented the conversion into larger amoeboid ring-stage parasites potentially through the inhibition of phospholipid transfer from the parasite to the encasing parasitophorous vacuole membrane (PVM) and/or within the parasite. We show that these PfSTART1 inhibitors also block transmission. With multiple stages of the parasites lifecycle being targeted by PfSTART1 inhibitors, this protein therefore represents a novel drug target with a new mechanism of action.

cell biology↗

bioRxiv2023

Neurotransmitter signaling specifies sweat gland stem cell fate through SLN-mediated intracellular calcium regulation

Sympathetic nerves co-develop with their target organs and release neurotransmitters to stimulate their functions after maturation. Here, we provide the molecular mechanism that during sweat gland morphogenesis, neurotransmitters released from sympathetic nerves act first to promote sweat duct elongation via norepinephrine and followed by acetylcholine to specify sweat gland stem cell fate, which matches the sequence of neurotransmitter switch. Without neuronal signals during development, the basal cells switch to exhibit suprabasal (luminal) cell features. Sarcolipin (SLN), a key regulator of sarcoendoplasmic reticulum (SR) Ca2+-ATPase (SERCA), expression is significantly down-regulated in the sweat gland myoepithelial cells upon denervation. Loss of SLN in sweat gland myoepithelial cells leads to decreased intracellular Ca2+ over time in response to ACh stimulation, as well as upregulation of luminal cell features. In cell culture experiments, we showed that contrary to the paradigm that elevation of Ca2+ promote epidermal differentiation, specification of the glandular myoepithelial (basal) cells requires high Ca2+ while lowering Ca2+ level promotes luminal (suprabasal) cell fate. Our work highlights that neuronal signals not only act transiently for mature sweat glands to function, but also exert long-term impact on glandular stem cell specification through regulating intracellular Ca2+ dynamics.

developmental biology↗

bioRxiv2023

Chemically Induced Degradation of Native Proteins by Direct Recruitment to the 26S Proteasome

Targeted protein degradation (TPD) is a promising strategy for drug development. Most degraders function by forcing the association of the target protein (TP) with an E3 Ubiquitin ligase, which in favorable cases results in the poly-Ubiquitylation of the TP and its subsequent degradation by the 26S proteasome. Here we explore the feasibility of a different TPD strategy in which the TP is recruited directly to the proteasome without the requirement for poly-Ubiquitylation. Using an engineered cell line in which the HaloTag protein is fused to one of the Ubiquitin receptors, we show that native protein targets can be degraded in this fashion when the cells are exposed to a chemical dimerizer containing a chloroalkane and a TP ligand. The potential advantages and disadvantages of Ubiquitin-independent degraders vs. traditional proteolysis-targeting chimeras are discussed.

molecular biology↗

bioRxiv2023

Sustained hippocampal theta-oscillations reflect experience-dependent learning in bidirectional temporal-order memory retrieval

Navigating within our neighborhood, learning a set of concepts, or memorizing a story, requires remembering the relationship between individual items that are presented sequentially. Theta activity in the mammalian hippocampus has been related to the encoding and recall of relational structures embedding episodic memories. However, how theta oscillations are involved in retrieving temporal order information in opposing directionality (forward vs backward) has not been characterized. Here, using intracranial recordings from 10 human epileptic patients of both genders with hippocampal electrodes, we tested the patients with a temporal order memory task in which they learned the spatial relationship among individual items arranged along a circular track and were tested on both forward-cued and backward-cued retrieval conditions. We found that sustained high-power oscillatory events in the hippocampal theta (2-8 Hz) band, as quantified by Pepisode rate, were higher for the backward conditions during the later stage but not in the earlier stage. The theta Pepisode results are consistent with the behavioral memory performance. In contrast, we observed a stronger effect of forward than backward retrieval for the gamma (30-70 Hz) Pepisode rate irrespective of stages. Our results revealed differential roles of theta vs. gamma oscillations in the retrieval of temporal order and how theta oscillations are specifically implicated in the learning process for efficient retrieval of temporal order memories under opposing directionality. Significance statementWhile the hippocampus is critical to link events into unitary episodes, the effect of repeated experiences, or learning, on these processes is not entirely clear. We discovered that hippocampal theta oscillation in humans is modulated by repeated experiences, which in turn increases the efficacy of backward-cued memory retrieval of temporal order. This study revealed an important physiological signature characterizing the role of experiences and learning in bidirectional temporal memory retrieval. Journal sectionBehavioral/Cognitive

neuroscience↗

bioRxiv2023

Entropy-based decoy generation methods for accurate FDR estimation in large-scale metabolomics annotations.

Large-scale metabolomics research faces challenges in accurate metabolite annotation and false discovery rate (FDR) estimation. Recent progress in addressing these challenges has leveraged experience from proteomics and inspiration from other sciences. Although the target-decoy strategy has been applied to metabolomics, generating reliable decoy libraries is difficult due to the complexity of metabolites. Additionally, continuous bioinformatic efforts are necessary to increase the utilization of growing spectra resources while reducing false identifications. Here we introduce the concept of ion entropy and present two entropy-based decoy generation methods. The assessment of public spectral databases using ion entropy validated it as a good metric for ion information content in massive metabolomics data. The decoy generation method developed based on this concept outperformed current representative decoy strategies in metabolomics and achieved the best FDR estimation performance. We analyzed 47 public metabolomics datasets using the constructed workflow to provide instructive suggestions. Finally, we present MetaPhoenix, a tool equipped with a well-constructed FDR estimation workflow that facilitates the development of accurate FDR-controlled analysis in the metabolomics field.

bioinformatics↗

bioRxiv2023

Aird-ComboComp: A combinable compressor framework with a dynamic-decider for lossy mass spectrometry data compression

Mass spectrum (MS) data volumes increase with an improved ion acquisition ratio and a highly accurate mass spectrometer. However, the most widely used data format, mzML, does not take advantage of compression methods and improved read performances. Several compression algorithms have been proposed in recent years, and they consider a number of factors, including, numerical precision, metadata read strategies and the compression performance. Due to limited compression ratio, the high-throughput MS data format is still quite large. High bandwidth and memory requirements severely limit the applicability of MS data analysis in cloud and mobile computing. ComboComp is a comprehensive improvement to the Aird data format. Instead of using the general-purpose compressor directly, ComboComp uses two integer-purpose compressors and four general-purpose compressors, and obtains the best compression combination with a dynamic decider, achieving the most balanced compression ratio among all the numerous varieties of compressors. ComboComp supports a seamless extension of the new integer and generic compressors, making it an evolving compression framework. The improvement of compression rate and decoding speed greatly reduces the cost of data exchange and real-time decompression, and effectively reduces the hardware requirements of MS data analysis. Analyzing mass spectrum data on IoT devices can be useful in real-time quality control, decentralized analysis, collaborative auditing, and other scenarios. We tested ComboComp on 11 datasets generated by commonly used MS instruments. Compared with Aird-ZDPD, the compression size can be reduced by an average of 12.9%. The decompression speed is increased by an average of 27.1%. The average compression time is almost the same as that of ZDPD. The high compression rate and decoding speed make the Aird format effective for data analysis on small memory devices. This will enable MS data to be processed normally even on IoT devices in the future. We provide SDKs in three languages, Java, C# and Python, which offer optimized interfaces for the various acquisition modes. All the SDKs can be found on Github: https://github.com/CSi-Studio/Aird-SDK.

bioinformatics↗

bioRxiv2023

How much storage precision can be lost: Guidance for near-lossless compression of untargeted metabolomics mass spectrometry data

The size of high-resolution mass spectrometry (HRMS) data has been increasing significantly. Several lossy compressors have been developed for higher compression rates. Currently, a comprehensive evaluation of what and how MS data (m/z and intensities) with precision losses would affect data processing (i.e., feature detection and compound identification) is absent. Here, we set an error threshold at 1% to assess the significance of the difference between two files in feature and compound detection results obtained from MZmine3. First, we examined that mzML files with both m/z and intensity encoded in 32-bit precision appear to be a preferred combination via msConvert, which has smaller file size and minor variation with other combinations of storage precision (<0.13%). We then identified that the absolute error of 10-4 for m/z had a feature detection error of 0.57% and compound detection error of 1.1%. For intensities, the relative error group of 2x10-2 had an error of 4.65% for features and 0.98% for compounds, compared with precision-lossless files. Taken together, we provided a reasonable scene-accuracy proposal, with a maximum absolute error of 10-4 for m/z and a maximum relative error of 2x10-2 for intensity. This guidance aimed to help researchers in improving lossy compression algorithms and minimizing the negative effects of precision losses on downstream data processing.

bioinformatics↗

bioRxiv2022

Intestinal Epithelial Heat Shock Protein 25/27 integrates host and microbial drivers of mucosal restitution following inflammatory injury

Mucosal healing following inflammatory injury is poorly understood and often neglected, despite being the best indicator of long-term outcomes in inflammatory bowel diseases. We report here that the enigmatic small molecular weight heat shock protein, Hsp25 (the human form is Hsp27), plays a vital role in converging microbial and host factors to promote pSTAT3-mediated mucosal healing. In wild type mice, the proximal-to-distal gradient of intestinal epithelial cell (IEC) Hsp25 expression is dependent on microbial cues. Patients with left-sided ulcerative colitis, however, show reduced levels of Hsp27 expression in both uninvolved and involved areas compared to normal colons of non-IBD patients. In mice with global or IEC-specific Hsp25 gene-targeted deletion, impaired mucosal healing with development of hallmarks of chronic disease are observed following DSS-induced or TNBS-induced colitis, whereas mucosal restitution is accelerated in IEC-specific overexpressing Hsp25 transgenic mice. In colonic IECs derived from these murine lines, Hsp25 binds and stabilizes a phospho-STAT3/YAP nuclear complex stimulated by IL-22 to sustain its wound healing gene programming. Thus, our findings provide insight into the mechanism of action of IEC Hsp25/27 in integrating host and microbial drivers of mucosal restitution, which can be leveraged to develop novel approaches for achieving and maintaining remission in complex immune disorders like IBD.

pathology↗