Biology subjects

Duan, Y.

Publications and source records attributed to Duan, Y..

At least 73 records · Page 4Linked to original sources

bioRxiv2024

Cortico-spinal Mechanisms of Periphery Neuromodulation induced Analgesia

BackgroundTranscutaneous Electrical Nerve Stimulation (TENS) is widely used for pain management, yet how different parameters--Conventional (high frequency, low intensity) versus Acupuncture-Like (low frequency, high intensity)--modulate pain remains controversial. These modes produce variable analgesic effects, but their underlying brain-spinal mechanisms are unclear. Clarifying these pathways could refine TENS protocols, optimize clinical outcomes, and reduce opioid reliance, highlighting the need for more precise, non-pharmacological approaches to advanced pain care. MethodsThis single-blind, three-arm randomized trial recruited 95 healthy adults (18-30 years) and assigned them (1:1:1) to Conventional TENS, Acupuncture-Like TENS, or sham. Participants underwent a 30-minute TENS intervention on the left forearm (C5-C6 dermatome) with simultaneous brain-spinal fMRI before and after thermal nociceptive stimuli. The primary outcomes were changes in Numeric Rating Scale (NRS) pain scores and brain-spinal BOLD signals. Secondary outcomes included psycho-physiological interaction (PPI) and mediation analyses of periaqueductal gray (PAG) activity and brain- cord connectivity. FindingsBoth TENS modes significantly reduced pain but engaged distinct cortico-spinal pathways. Conventional TENS yielded local analgesia via dlPAG-driven spinal inhibition plus partial cortical involvement (PAG-vmPFC). By contrast, Acupuncture-Like TENS produced diffuse analgesia through vlPAG-linked top-down modulation reliant on spinal gating. Correlation and mediation analyses confirmed that Conventional TENS integrates spinal and cortical synergies, whereas Acupuncture-Like TENS is dominated by robust descending control. InterpretationDifferent TENS parameters yield distinct analgesic mechanisms. Conventional TENS couples direct spinal inhibition with partial cortical regulation, while Acupuncture-Like TENS relies heavily on top-down pathways passing through the spinal cord. Recognizing these unique descending networks can guide targeted TENS protocols for diverse pain conditions, optimizing clinical outcomes and reducing reliance on pharmacological approaches. FundingsThis work was supported by the National Key R&D Program of China (2022YFC3500603), the National Natural Science Foundation of China (32071061, 82072010, 82030121 and 32100861, 82330057), the Beijing Natural Science Foundation (IS23108, JQ22018).

neuroscience↗

bioRxiv2024

CDC5L surveils cellular stress responses and stress granule formation through transcriptional repression

Cells have evolved a variety of mechanisms to respond to stress, such as activating the PERK- eIF2 pathway and forming stress granules (SGs). It is important that these mechanisms are inducted only when necessary and exerted at appropriate levels, to prevent spontaneous or excessive activation of stress responses. However, the mechanisms by which cells keep the stress response programs in check are elusive. In this study, we discovered that downregulation of Cell Division Cycle 5 Like (CDC5L) causes spontaneous SG formation in the absence of any stress, which is independent of its known functions in the cell cycle or the PRP19 complex. Instead, we found that CDC5L binds to the PERK promoter through its DNA-binding domains and represses PERK mRNA transcription. As a result, it negatively regulates the abundance of PERK protein and the phosphorylation levels of eIF2, thereby suppressing the PERK-eIF2 signaling pathway and preventing undesirable SG assembly. Further RNA-sequencing (seq) and chromatin immunoprecipitation (ChIP)-seq analyses reveal a dual function of CDC5L in gene transcription: it acts as a transcriptional activator in cell cycle control but as a repressor in cellular stress responses. Finally, we show that the loss of CDC5L decreases cell viability and fly survival under mild stress conditions. Together, our findings demonstrate a previously unknown role and mechanism of CDC5L in the surveillance of cellular stress through transcriptional repression, which serves as a gatekeeper for the stress response programs such as the PERK-eIF2 pathway and SG formation. Significance statementCells need to respond to stress promptly for survival. Meanwhile, it is equally important to prevent spontaneous or excessive activation of stress response programs when no stress or only minor stress is present. Here, we reveal that the DNA/RNA-binding protein CDC5L represses the transcription of a cluster of stress response genes including PERK. In doing so, CDC5L suppresses the PERK-eIF2 pathway and prevents spontaneous SG assembly. Downregulation of CDC5L releases the restraint on these genes, resulting in an exaggerated response to stress and decreased viability in both cell and fly models. Taken together, this study demonstrates the existence of a gatekeeper mechanism that surveils the stress response programs and highlights the crucial role of CDC5L-mediated transcriptional repression in this regulation.

cell biology↗

bioRxiv2023

A catalogue of small proteins from the global microbiome

Small open reading frames (smORFs) shorter than 100 codons are widespread and perform essential roles in microorganisms, where they encode proteins active in several cell functions, including signal pathways, stress response, and antibacterial activities. However, the ecology, distribution and role of small proteins in the global microbiome remain unknown. Here, we constructed a global microbial smORFs catalogue (GMSC) derived from 63,410 publicly available metagenomes across 75 distinct habitats and 87,920 high-quality isolate genomes. GMSC contains 965 million non-redundant smORFs with comprehensive annotations. We found that archaea harbor more small proteins proportionally than bacteria. We moreover provide a tool called GMSC-mapper to identify and annotate small proteins from microbial (meta)genomes. Overall, this publicly-available resource demonstrates the immense and underexplored diversity of small proteins.

bioinformatics↗

bioRxiv2023

Proteomic Stratification of Prognosis and Treatment Options for Small Cell Lung Cancer

Small cell lung cancer (SCLC) is a highly malignant and heterogeneous cancer with limited therapeutic options and prognosis prediction models. Here, we analyzed formalin-fixed, paraffin-embedded (FFPE) samples of surgical resections by proteomic profiling, and stratified SCLC into three proteomic subtypes (S-I, S-II, and S-III) with distinct clinical outcomes and chemotherapy responses. The proteomic subtyping was an independent prognostic factor and performed better than current TNM or Veterans Administration Lung Study Group (VALG) staging methods. The subtyping results could be further validated using FFPE biopsy samples from an independent center, extending the analysis to both surgical and biopsy samples. The signatures of the S-II subtype in particular suggest potential benefits from immunotherapy. Differentially overexpressed proteins in S-III, the worst prognostic subtype, allowed us to nominate potential therapeutic targets, indicating that patient selection may bring new hope for previously failed clinical trials. Finally, analysis of an independent cohort of SCLC patients who had received immunotherapy validated the prediction that the S-II patients had better Progression Free Survival (PFS) and Overall Survival (OS) after first-line immunotherapy. Collectively, our study provides the rationale for future clinical investigations to validate the current findings for more accurate prognosis prediction and precise treatments.

cancer biology↗

bioRxiv2023

PRIME-BSPre: A genome-wide protein-RNA binding sites prediction method based on templates

Identification of RNA binding sites that potentially interact with RNA-binding proteins facilitates a comprehensive analysis of protein-RNA interactions and enables further investigation into the mechanisms underlying RNA splicing and modification. However, the current experimental data remains limited in comparison to the vast family of RBPs, and deep learning prediction methods are inadequate for those RBPs lacking sufficient interaction data for training. Therefore, we present PRIME-BSPre, a genome-wide method for predicting protein-RNA binding sites based on templates that incorporate both RNA sequence and secondary structure as well as the tertiary structure of corresponding RBPs. We have successfully benchmarked our method on the human genome, demonstrating excellent prediction performance on RBP datasets beyond our library and robustness across cell lines. Additionally, we are pioneers in introducing the low Shannon entropy algorithm to describe binding preferences of RNA motifs. Our predicted results further support the hypothesis that RBPs preferentially bind RNA motifs with low complexity.

bioinformatics↗

bioRxiv2023

Immune Profiling among Colorectal Cancer Subtypes using Dependent Mixture Models

Comparison of transcriptomic data across different conditions is of interest in many biomedical studies. In this paper, we consider comparative immune cell profiling for early-onset (EO) versus late-onset (LO) colorectal cancer (CRC). EOCRC, diagnosed between ages 18-45, is a rising public health concern that needs to be urgently addressed. However, its etiology remains to be poorly understood. We work towards filling this gap by identifying homogeneous T cell subpopulations that show significantly distinct characteristics across the two tumor types, and to identify others that are shared between EOCRC and LOCRC. Such inference may reveal underlying determinants of clinically observed differences in the two disease subpopulations. We develop dependent finite mixture models where immune subtypes enriched under a specific condition are characterized by terms in the mixture model with common atoms but distinct weights across conditions, whereas common subtypes are characterized by sharing both atoms and relative weights. The proposed model defines a variation of mixtures of finite mixture models, facilitating the desired comparison by introducing highly structured multi-layer Dirichlet priors. The model allows us to explicitly compare features across conditions. We illustrate inference with simulation studies and data examples. Results identify EO-enriched and LO-enriched T cells subtypes whose biomarkers are found to be linked to mechanisms of tumor progression. The findings reveal distinct characteristics of the immune profiles in EOCRC and LOCRC, and potentially motivate insights into treatment and management of CRC.

bioinformatics↗

bioRxiv2023

DNA Origami Tension Sensors (DOTS) to study T cell receptor mechanics at membrane junctions

The T cell receptor (TCR) is thought to be a mechanosensor, meaning that it transmits mechanical force to its antigen and leverages the force to amplify the specificity and magnitude of TCR signaling. The past decade has witnessed the development of molecular probes which have revealed many aspects of receptor mechanotransduction. However, most force probes are immobilized on hard substrates, thus failing to reveal mechanics in the physiological context of cell membranes. In this report, we developed DNA origami tension sensors (DOTS) which bear force sensors on a DNA origami breadboard and allow mapping of TCR mechanotransduction at dynamic intermembrane junctions. We demonstrate that TCR-antigen bonds experience 5-10 pN forces, and the mechanical events are dependent on cell state, antigen mobility, antigen potency, antigen height and F-actin activity. We tethered DOTS onto a microparticle to mechanically screen antigen in high throughput using flow cytometry. Finally, DOTS were anchored onto live B cell membranes thus producing the first quantification of TCR mechanics at authentic immune cell-cell junctions.

biophysics↗

bioRxiv2023

Bacillus subtilis YisK possesses oxaloacetate decarboxylase activity and exhibits Mbl-dependent localization

YisK is an uncharacterized protein in Bacillus subtilis previously shown to interact genetically with the elongasome protein Mbl. YisK overexpression leads to cell widening and lysis, phenotypes that are dependent on mbl and suppressed by mbl mutations. In the present work we characterize YisKs localization, structure, and enzymatic activity. We show that YisK localizes in a punctate and/or punctate-helical pattern that depends on Mbl, and that YisK interacts directly with another elongasome protein, FtsE. YisK belongs to the fumarylacetoacetate hydrolase (FAH) superfamily and crystal structures revealed close structural similarity to two oxaloacetate (OAA) decarboxylases: human mitochondrial FAHD1 and Corynebacterium glutamicum Cg1458. We demonstrate that YisK can also catalyze the decarboxylation of OAA (Km = 134 {micro}M, Kcat = 31 min-1). A catalytic dead variant (YisK E148A, E150A) retains wild-type localization and still widens cells following overexpression, indicating these activities are not dependent on YisK catalysis. Conversely, a non-localizing variant (YisK E30A) retains wild-type enzymatic activity in vitro, but no longer widens cells following overexpression. Together these results suggest YisK may be subject to spatial regulation that depends on the cell envelope synthesis machinery. IMPORTANCEThe elongasome is a protein complex that guides lengthwise growth in some bacteria. We previously showed that in B. subtilis, overexpression of an uncharacterized enzyme (YisK), perturbed function of the actin-like elongasome protein Mbl. Here we show that YisK exhibits Mbl-dependent localization and interacts directly with another component of the elongasome, FtsE. Through biochemical and structural characterization, we demonstrate that like its mitochondrial homolog FAHD1, YisK can catalyze the decarboxylation of the oxaloacetate to pyruvate and CO2. YisK is the first example of an enzyme implicated in central carbon metabolism with subcellular localization that depends on Mbl.

microbiology↗

bioRxiv2023

Modeling neurodevelopmental disorder-associated hAGO1 mutations in C. elegans Argonaute ALG-1

MicroRNAs (miRNA) are endogenous non-coding RNAs important for post-transcriptional regulation of gene expression. miRNAs associate with Argonaute proteins to bind to the 3 UTR of target genes and confer target repression. Recently, multiple de novo coding variants in the human Argonaute gene AGO1 (hAGO1) have been reported to cause a neurodevelopmental disorder (NDD) with intellectual disability (ID). Most of the altered amino acids are conserved between the miRNA-associated Argonautes in H. sapiens and C. elegans, suggesting the hAGO1 mutations could disrupt evolutionarily conserved functions in the miRNA pathway. To investigate how the hAGO1 mutations may affect miRNA biogenesis and/or functions, we genetically modeled four of the hAGO1 de novo variants (referred to as NDD mutations) by introducing the identical mutations to the C. elegans hAGO1 homolog, alg-1. This array of mutations caused distinct effects on C. elegans miRNA functions, miRNA populations, and downstream gene expression, indicative of profound alterations in aspects of miRNA processing and miRISC formation and/or activity. Specifically, we found that the alg-1 NDD mutations cause allele-specific disruptions in mature miRNA profiles both in terms of overall abundances and association with mutant ALG-1. We also observed allele-specific profiles of gene expression with altered translational efficiency and/or mRNA abundance. The sets of perturbed genes include human homologs whose dysfunction is known to cause NDD. We anticipate that these cross-clade genetic studies may advance the understanding of fundamental Argonaute functions and provide insights into the conservation of miRNA-mediated post-transcriptional regulatory mechanisms.

molecular biology↗

bioRxiv2023

A positive feedback loop between ZEB2 and ACSL4 regulates lipid metabolism to promote breast cancer metastasis

Lipid metabolism plays a critical role in cancer metastasis. However, the mechanisms through which metastatic genes regulate lipid metabolism remain unclear. Here, we describe a new oncogenic-metabolic feedback loop between the epithelial-mesenchymal transition (EMT) transcription factor ZEB2 and the key lipid enzyme ACSL4 (long-chain acyl-CoA synthetase 4), resulting in enhanced cellular lipid storage and fatty acid oxidation to drive breast cancer metastasis. Functionally, Depletion of ZEB2 or ACSL4 significantly reduced lipid droplets (LD) abundance and cell migration. ACSL4 overexpression rescued the invasive capabilities of the ZEB2 knockdown cells, suggesting that ACSL4 is crucial for ZEB2-mediated metastasis. Mechanistically, ZEB2 activated ACSL4 expression by directly binding to the ACSL4 promoter. ACSL4 binds to and stabilizes ZEB2 by reducing ZEB2 ubiquitination. Notably, ACSL4 not only promotes the intracellular lipogenesis and lipid droplet accumulation but also enhances fatty acid oxidation (FAO) and ATP production by upregulating the FAO rate-limiting enzyme CPT1A (carnitine palmitoyltransferase 1 isoform A). Finally, we demonstrated that ACSL4 knockdown significantly reduced metastatic lung nodes in vivo. In conclusion, we reveal a novel positive regulatory loop between ZEB2 and ACSL4, which promotes LD storage to meet the energy needs of breast cancer metastasis, and identify the ZEB2-ACSL4 signaling axis as an attractive therapeutic target for overcoming breast cancer metastasis. HighlightsZEB2 activates FAO through transcription of ACSL4 ACSL4 regulates lipid metabolism through FAO, promoting breast cancer metastasis Targeting ZEB2-ACSL4 signaling axis inhibits breast cancer metastasis SignificanceWe describe a novel positive feedback loop between ZEB2 and ACSL4 that results in enhanced cellular lipid storage and FA oxidation to drive breast cancer metastasis.

cancer biology↗

bioRxiv2023

Natural constraints explain working memory capacity limitations in sensory-cognitive models

The limited capacity of the brain to retain information in working memory has been well-known and studied for decades, yet the root of this limitation remains unclear. Here we built sensory-cognitive neural network models of working memory that perform tasks using raw visual stimuli. Contrary to intuitions that working memory capacity limitation stems from memory or cognitive constraints, we found that pre-training the sensory region of our models with natural images imposes sufficient constraints on models to exhibit a wide range of human-like behaviors in visual working memory tasks designed to probe capacity. Examining the neural mechanisms in our model reveals that capacity limitation mainly arises in a bottom-up manner. Our models offer a principled and functionally grounded explanation for the working memory capacity limitation without parameter fitting to behavioral data or much hyperparameter tuning. This work highlights the importance of developing models with realistic sensory processing even when investigating memory and other high-level cognitive phenomena.

neuroscience↗

bioRxiv2023

Modulation of protein-DNA binding reveals mechanisms of spatiotemporal gene control in early Drosophila embryos

It is well known that enhancers regulate the spatiotemporal expression of their target genes by recruiting transcription factors (TFs) to the cognate binding sites in the region. However, the role of multiple binding sites for the same TFs and their specific spatial arrangement in determining the overall competency of the enhancer has yet to be fully understood. In this study, we utilized the MS2-MCP live imaging technique to quantitatively analyze the regulatory logic of the snail distal enhancer in early Drosophila embryos. Through systematic modulation of Dorsal and Twist binding motifs in this enhancer, we found that a mutation in any one of these binding sites causes a drastic reduction in transcriptional amplitude, resulting in a reduction in total mRNA production of the target gene. We provide evidence of synergy, such that multiple binding sites with moderate affinities cooperatively recruit more TFs to drive stronger transcriptional activity than a single site. Moreover, a Hidden Markov-based stochastic model of transcription reveals that embryos with mutated binding sites have a higher probability of returning to the inactive promoter state. We propose that TF-DNA binding regulates spatial and temporal gene expression and drives robust pattern formation by modulating transcriptional kinetics and tuning bursting rates.

developmental biology↗

bioRxiv2022

Mechano-Cas12a Assisted Tension Sensor (MCATS) for Massively Amplified Cell Traction Force Measurements

Cells transmit piconewton forces to mediate essential biological processes such as coagulation. One challenge is that cell-generated forces are infrequent, transient, and difficult to detect. Here, we report the development of Mechano-Cas12a Assisted Tension Sensor (MCATS) that utilizes CRISPR-Cas12a to transduce and amplify the molecular forces generated by cells. We demonstrate the power of MCATS by detecting the forces generated by as few as ~103 human platelets in a high-throughput manner. Platelet forces are significantly inhibited when blood samples are treated with FDA-approved drugs such as aspirin, eptifibatide(integrilin(R)), 7E3(Reopro(R)), and ticagrelor (Brelinta(R)). Because MCATS requires <5uL of blood/measurement, a single blood draw can generate a personalized dose-response curve and IC50 for this panel of drugs. Platelet activity and force-generation are tightly associated, and hence MCATS was used to quantify platelet dysfunction following cardiopulmonary bypass (CPB) in a pilot study of 7 cardiac patients. We found that MCATS detected platelet dysfunction which strongly correlated with the need for platelet transfusion to limit bleeding. These results indicate MCATS may be a useful assay for clinical applications.

biophysics↗

bioRxiv2022

Gap-free nuclear and mitochondrial genomes of Ustilaginoidea virens strain JS60-2, a fungal pathogen causing rice false smut

Rice false smut (RFS), caused by Ustilaginoidea virens, has become a major disease in recent years, and mycotoxins produced by U. virens often threaten food safety. To study fungal pathogenesis and identify potential targets for developing new fungicides, gap-free nuclear and complete mitochondrial genomes of U. virens JS60-2 were sequenced and assembled. Using the second and third generation sequencing data, we assembled a 38.02-Mb genome that consists of seven contigs with the contig N50 being 6.32-Mb. In total, 8,486 protein-coding genes were annotated in the genome, including 21 secondary metabolism gene clusters. We also assembled the complete mitochondrial genome, which is 102,498 bp, with 28% GC content. The JS60-2 genomes assembled in this study will facilitate research on U. virens and contribute to RFS control.

genomics↗

bioRxiv2022

Crystal structure of monkeypox H1 phosphatase, an Antiviral Drug Target

The current monkeypox outbreak has caused over 64,000 global cases, but the effective treatments are very limited. The dual specific phosphatase (H1) from monkeypox antagonizes the immune response and is crucial for viral replication, making it an attractive antiviral target. Here we determined a 1.8-[A] crystal structure of H1, which forms a domain swapped dimer resembling a butterfly. Each active site, which consists of a Cys-Arg-Asp triad, captures a phosphate ion. The observed conformation mimics the final step of catalysis prior to product release. The crystal structure provides a strong foundation for the discovery of new antivirals against this emerging worldwide pathogen.

microbiology↗

bioRxiv2022

Multiple pathways for SARS-CoV-2 resistance to nirmatrelvir

Nirmatrelvir, an oral antiviral targeting the 3CL protease of SARS-CoV-2, has been demonstrated to be clinically useful in reducing hospitalization or death due to COVID-191,2. However, as SARS-CoV-2 has evolved to become resistant to other therapeutic modalities3-9, there is a concern that the same could occur for nirmatrelvir. Here, we have examined this possibility by in vitro passaging of SARS-CoV-2 in increasing concentrations of nirmatrelvir using two independent approaches, including one on a large scale in 480 wells. Indeed, highly resistant viruses emerged from both, and their sequences revealed a multitude of 3CL protease mutations. In the experiment done at a larger scale with many replicates, 53 independent viral lineages were selected with mutations observed at 23 different residues of the enzyme. Yet, several common mutational pathways to nirmatrelvir resistance were preferred, with a majority of the viruses descending from T21I, P252L, or T304I as precursor mutations. Construction and analysis of 13 recombinant SARS-CoV-2 clones, each containing a unique mutation or a combination of mutations showed that the above precursor mutations only mediated low-level resistance, whereas greater resistance required accumulation of additional mutations. E166V mutation conferred the strongest resistance (~100-fold), but this mutation resulted in a loss of viral replicative fitness that was restored by compensatory changes such as L50F and T21I. Structural explanations are discussed for some of the mutations that are proximal to the drug-binding site, as well as cross-resistance or lack thereof to ensitrelvir, another clinically important 3CL protease inhibitor. Our findings indicate that SARS-CoV-2 resistance to nirmatrelvir does readily arise via multiple pathways in vitro, and the specific mutations observed herein form a strong foundation from which to study the mechanism of resistance in detail and to inform the design of next generation protease inhibitors.

microbiology↗

bioRxiv2022

The role of hippocampal CaMKII in resilience to trauma-related psychopathology

Traumatic stress exposure can form persistent trauma-related memories. However, only a minority of individuals develop post-traumatic stress disorder (PTSD) symptoms upon exposure. We employed a rat model of PTSD, which enables differentiating between exposed-affected and exposed-unaffected individuals. Two weeks after the end of exposure, animals were tested behaviorally, following an exposure to a trauma reminder, identifying them as trauma affected or unaffected. In light of the established role of hippocampal synaptic plasticity in stress and the essential role of Ca2+/calmodulin-dependent protein kinase II (CaMKII) in hippocampal based synaptic plasticity, in two separate experiments, we pharmacologically inhibited CaMKII or knocked-down CaMKII in the dorsal dentate gyrus of the hippocampus (dDG) following exposure to the same trauma paradigm. Both manipulations brought down the prevalence of affected individuals in the trauma- exposed population. A day after the last behavioral test, long-term potentiation (LTP) was examined in the dDG as a measure of synaptic plasticity. Trauma exposure reduced the ability to induce LTP, whereas, contrary to expectation, CaMKII-kd reversed this effect. Further examination revealed that reducing CaMKII expression, enables the formation of CaMKII-independent LTP, which may enable increased resilience in the face of a traumatic experience. The current findings further emphasize the pivotal role dDG has in stress resilience.

neuroscience↗

bioRxiv2022

The leucine-rich repeat (LRR) domain of NLRP3 is required for NLRP3 inflammasome activation in macrophages

The NLRP3 inflammasome is a critical component of innate immunity that defends the host from microbial infections. However, its aberrant activation contributes to the pathogenesis of several inflammatory diseases. Activation of the NLRP3 inflammasome induces the secretion of proinflammatory cytokines IL-1{beta} and IL-18, and pyroptotic cell death. NLRP3 contains a leucine-rich repeat (LRR) domain at its C-terminus. Although posttranslational modifications in this LRR domain have been shown to regulate NLRP3 inflammasome activation, the role of the entire LRR domain in NLRP3 inflammasome activation remains controversial. Here, we generated mouse macrophages that express an endogenous NLRP3 mutant lacking the LRR domain. Deletion of the LRR domain destabilized endogenous NLRP3 protein and abolished NLRP3 inflammasome activation in macrophages. Furthermore, using NLRP3-deficient macrophages that are reconstituted with NLRP3 mutants lacking the LRR domain, we found that deletion of the LRR domain inhibited NLRP3 inflammasome activation. Mechanistically, deletion of the LRR domain abolished NLRP3 self-association, oligomerization, and interaction with the essential regulator NEK7. Our results demonstrate a critical role for the LRR domain in NLRP3 inflammasome activation.

immunology↗