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Ng, J.

Publications and source records attributed to Ng, J..

At least 19 recordsLinked to original sources

Intermediate-Resolution Modeling of Dynamic DNAs and Their Phase Separation

DNA is a fundamental biomolecule in eukaryotic cells, playing central roles in processes ranging from genome organization and transcription to innate immune signaling. Recent studies have revealed that DNA can undergo protein-free phase separation in the presence of divalent cations, yet the underlying molecular mechanisms, including the interplay of base stacking, base pairing, electrostatics, and ion interactions, remain poorly understood. Here, we introduce an intermediate-resolution model for condensates of DNAs (iConDNA) that can capture key local and long-range structural features of dynamic DNAs and simulate their spontaneous phase transitions. By introducing explicit base stacking and pairing interactions, the iConDNA model not only reproduces major conformational properties of DNA homopolymers but also folds DNA hairpins and duplexes and captures their thermodynamic properties. With an effective model of explicit Mg2+, iConDNA successfully captures the temperature and magnesium concentration dependence of DNA properties. Together, these features enable iConDNA to qualitatively recapitulate homotypic DNA phase separation, providing a suitable tool to study DNA homotypic phase separation in biological and engineering applications.

biophysics↗

Neuronal targeted AAV Micro-Dystrophin restores neurobehavioural co-morbidities, grip strength and motor coordination in mdx52 mouse model of Duchenne Muscular Dystrophy

Duchenne muscular dystrophy (DMD) is a X-linked disorder caused by mutations in the DMD gene, which disrupts production of multiple isoforms of dystrophin in multiple organs namely muscle, heart and brain. While progressive muscle disease and cardiomyopathy are the hallmarks of DMD, over 40% of individuals also experience significant neurobehavioral comorbidities, including autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), obsessive compulsive disorder (OCD) and intellectual disability. These deficits are linked to the loss of brain isoforms and approximately 90% of DMD individuals have loss of either Dp427 or both Dp427 and Dp140 in the brain. We studied the mdx52 mouse model, which lacks these isoforms and exhibits severe fear and anxiety-like behaviours, suitable to evaluate the therapeutic efficacy on neuro-comorbidities after delivering a neuronal-targeted adeno-associated virus (AAV) micro-dystrophin ({micro}Dys) therapy. We compared two delivery routes intravenous (IV) and intracerebroventricular (ICV) in neonatal mdx52 male mice to assess impact on an extensive range of neurobehavioural aspects including emotional reactivity, neurocognitive, OCD and motor coordination deficits. While both routes successfully reduced emotional reactivity and anxiety-related behaviours, IV delivery emerged as the superior therapeutic strategy addressing a more comprehensive spectrum of DMD related brain co-morbidities. Critically, significant improvements in cognitive deficits and OCD-like behaviours were achieved only through IV delivery. This was associated with a widespread lower transduction pattern across the brain, including hindbrain and cerebellum, which were less effectively targeted by ICV injection, although forebrain transduction with ICV delivery was higher. Brain {micro}Dys expression successfully restored dystrophin interactors dystroglycan, syntrophin and pre- and post-synaptic functional interactors VGLUT1, gephyrin, GABAAR with both delivery methods. These results demonstrate that while ICV gene therapy results in improved emotional reactivity and anxiety-related behaviour in the mdx52, only the systemic, neuronal-targeted gene therapy efficiently transduced the central nervous system restoring neuronal synaptic functional complexes of both Dp427 and 140 isoforms and simultaneously restored peripheral NMJ dystrophin deficiency. Beyond cognitive restoration, while both routes improved aspects of gait on CatWalk XT, only IV delivery significantly enhanced motor coordination on the Beam walk and, unexpectedly, normalised grip strength. This was specifically linked to the selective expression of {micro}Dys at neuromuscular junctions (NMJs), which corrected post-synaptic electrophysiological dysfunction of mdx52 mice. Our findings establish a significant foundation for incorporating brain-directed strategies into the future therapeutic approaches for DMD, offering a holistic approach to treating DMD as a multisystemic disease.

neuroscience↗

Origin of chaperone dependence and assembly complexity in Rubisco biogenesis

Molecular chaperones assist with the folding and assembly of protein clients. Consequently, they are essential to diverse cellular functions. In most aerobic photosynthetic organisms such as {beta}-cyanobacteria and all plants, the key CO2-fixing enzyme Rubisco strictly relies on dedicated chaperones for its assembly. Why these chaperones were recruited is unclear, as they are absent and not required in other prokaryotic autotrophs. By retracing the evolution of Rubisco-chaperone interactions, we find that Rubiscos dependence on chaperones evolved neutrally and not by adaptive optimization, and that this may be reversed without compromising catalytic function. Our work shows how chaperones are broad modifiers of their clients sequence spaces that can become totally essential through non-adaptive processes.

evolutionary biology↗

Benchmarking long-read RNA-sequencing technologies with LongBench: a cross-platform reference dataset profiling cancer cell lines with bulk and single-cell approaches

Long-read RNA sequencing enables full-length transcript profiling and improved isoform resolution, but variable platforms and evolving chemistries demand careful benchmarking for reliable application. We present LongBench, a matched, multi-platform reference dataset spanning bulk, single-cell, and single-nucleus transcriptomics across eight human lung cancer cell lines with synthetic spike-in controls. LongBench in-corporates three state-of-the-art long-read protocols alongside Illumina short reads: Oxford Nanopore Technologies (ONT) PCR-cDNA, ONT direct RNA, and PacBio Kinnex. We systematically evaluate transcript capture, quantification accuracy, differential expression, isoform usage, variant detection, and allele-specific analyses. Our results show high concordance in gene-level differential analyses across protocols, but reduced consistency for transcript-level and isoform analyses due to length- and platform-dependent biases. Single-cell long-read data are highly concordant with bulk for high-confidence features, though single-nuclei data show reduced feature detection. LongBench provides one of the largest publicly available long-read benchmarking resources, enabling rigorous cross-platform evaluation and guiding technology selection for transcriptomic research.

genomics↗

γδ T cells modulate anti-tumor immunity in small cell lung cancer

Small cell lung cancer (SCLC) is a highly aggressive neoplasm with limited sensitivity to anti-PD-(L)1 blockade, likely due to the epigenetic silencing of MHC-I. Elucidating MHC-I-independent immune recognition mechanisms is therefore crucial for enhancing treatment responses and improving clinical outcomes in a greater number of patients. Leveraging single cell approaches, we discovered {gamma}{delta} T cell infiltration in biospecimens from patients with SCLC. Despite PD-1 expression, {gamma}{delta} T cells maintained a cytotoxic transcriptional profile, suggestive of an anti-tumor role. Indeed, high {gamma}{delta} T cell infiltration predicted improved response to anti-PD-L1 immunotherapy in patients with SCLC. Moreover, using pre-clinical models, we demonstrated that {gamma}{delta} T cells are effective at tarlatamab (DLL3-CD3 BiTE) redirected SCLC killing and that zoledronate, an FDA-approved compound, can sensitize SCLC cells to {gamma}{delta} T cell-mediated killing. Thus, our findings suggest that engaged {gamma}{delta} T cells are potentially valuable targets for SCLC therapy.

cancer biology↗

SMCHD1 compacts DNA directly in an ATP-regulated manner

Structural maintenance of chromosome (SMC) complexes play crucial roles in genome organization by DNA loop extrusion. SMCHD1 is a non-canonical SMC protein important for X-inactivation, imprinting and the silencing of specific autosomal genes. While it is known to be a repressor, little is known about its structure or mechanism of action. Here, we show that the SMCHD1 homodimer is flexible and dynamic in solution. This flexibility is conferred by its yet uncharacterized linker domain, which can alter its length by dynamically switching between compact and extended conformations. Interestingly, we observed that SMCHD1 can directly bridge and compact DNA, independently of other proteins, forming large protein-DNA clusters. SMCHD1 contains a GHKL ATPase domain and SMC hinge domain, however each domain alone is insufficient for DNA compaction. DNA compaction rate decreases when the linker domain is removed. The coiled-coil domain does not affect compaction rate but facilitates interaction with a partner protein LRIF1. Surprisingly, DNA compaction by SMCHD1 does not require ATP and paradoxically, compaction rate is reduced with the addition of ATP. Similarly, SMCHD1 forms clusters with reconstituted nucleosome arrays in the absence of ATP, and the addition of ATP results in a reduction in cluster sizes. Our data provides biophysical and mechanistic insights into the role of SMCHD1 in gene silencing and genome organization.

molecular biology↗

SMARCA4 is essential for early-stage tumor development but its loss promotes late-stage cancer progression in small-cell lung cancer

SMARCA4 and other components of the SWI/SNF chromatin remodeling complex have been implicated in various cancers. Yet, its role in small cell lung cancer (SCLC) tumorigenesis remains poorly understood. Genetically engineered mouse models (GEMMs) of SCLC revealed that deletion of Smarca4 significantly decreased tumor development in this model. Pharmacological inhibition of SMARCA4 decreased the proliferation of preneoplastic neuroendocrine (NE) cells. These effects coincided with reduced expression of the lineage-specific transcription factor, ASCL1, suggesting that disruption of the SMARCA4-ASCL1 axis impairs tumor development. However, Smarca4-deficient tumors, albeit smaller than controls, displayed features associated with malignant progression, including variant histology and the loss of NE differentiation. This prompted us to test the functional role of SMARCA4 in established tumor cells that recapitulate late-stage disease. Intriguingly, whilst Smarca4 knockdown in tumor cells failed to affect their proliferative capacity in vitro, Smarca4 knockdown tumors exhibited enhanced growth following subcutaneous transplantation in athymic nude mice. Interestingly, SMARCA4 knockdown significantly reduced expression and cell-surface display of PVR, a ligand for activating natural killer (NK) cells. These results led to an idea that the enhanced tumor formation was partly owing to altered tumor-NK cell interactions mediated by the SMARCA4-PVR axis in tumor cells. These findings suggest that SMARCA4 plays a temporally distinct role in SCLC, supporting early tumorigenesis but potentially functioning as a tumor suppressor in the later stages. The dramatic differences observed when targeting SMARCA4 in distinct disease states emphasize a need to acknowledge how differences in the timing of alterations can drastically alter tumor evolution.

cancer biology↗

Polyglutamine expansion induced dynamic misfolding of Androgen Receptor

Spinal bulbar muscular atrophy (SBMA) is caused by a polyglutamine expansion (pQe) in the N-terminal transactivation domain of human androgen receptor (AR-NTD), resulting in a combination of toxic gain- and loss-of-function mechanisms. The structural basis of these processes has not been resolved due to the disordered nature of the NTD, which hinders experimental analyses of its detailed conformations. Here, using extensive computational modelling, we show that AR-NTD forms dynamic compact regions, which upon pQe re-organize dynamically, mediated partly by direct pQ interaction with the Androgen N-Terminal Signature (ANTS) motif. The altered dynamics of the NTD result in a perturbation of interdomain interactions, with potential implications for binding of the receptor protein to its response element. Oligomeric aggregation of the dynamic misfolded NTD exposes pQe, but blocks tau-5 and the FQNLF motif, which could lead to aberrant receptor transcriptional activity. These observations suggest a structural mechanism for AR dysfunction in SBMA.

pathology↗

Identification and characterization of a wet adhesive protein extracted from Dreissena bugensis, the freshwater quagga mussel

Mechanisms of wet adhesion have been developed by several aquatic organisms over millions of years of evolutionary processes. Yet, the repertoire of synthetic biocompatible wet adhesive materials is still limited. In most marine bioadhesive proteins, 3,4-dihydroxyphenylalanine (DOPA) plays a significant role in strong interfacial interactions. The bioadhesive proteins in freshwater organisms are less well understood. The quagga mussel (Dreissena bugensis) is a notorious freshwater invasive species in the Great Lakes that attaches to a plethora of surfaces via a byssus. To determine the adhesive proteins in the quagga mussel byssus, we utilized quantitative proteomics to identify the proteins enriched at the byssus-substrate interface. Among the identified proteins was the Dbfp7 protein family. Dbfp7 is a small, polymorphic, and mostly disordered protein that lacks significant amounts of DOPA. Atomic force microscopy measurements of Dbfp7 confirm that this protein has similar adhesion energy to marine mussel adhesive proteins in aqueous conditions despite lacking DOPA. These results suggest that freshwater mussels may employ different mechanisms of adhesion compared to marine byssates. The inclusion of Dbfp7 to the library of known wet bioadhesive proteins - the first functionally characterized freshwater bioadhesive protein to our knowledge - will allow for a better understanding of the fundamental properties required to achieve biocompatible wet adhesion, a crucial step for the development of bio-inspired wet adhesive materials, such as improved medical adhesives. Significance StatementWhile many aquatic organisms evolved strategies to adhere to surfaces underwater, current synthetic biocompatible adhesives lack reliable adhesive strength in varying aqueous conditions. Investigating freshwater mussel adhesive proteins expands the current understanding of aquatic bioadhesion and offers potential advancements in wet adhesive technology. The discovery of a DOPA-deficient wet adhesive protein derived from the invasive quagga mussels presents a paradigm shift to the currently known mechanisms of byssal bioadhesion, thereby expanding the repertoire of wet adhesive strategies. Further, understanding the mechanism of adhesion employed by this biofouling species can help with the design of anti-fouling strategies to mitigate the impacts of these animals on the infrastructure and ecosystems in the Great Lakes and connected freshwater systems in North America.

biochemistry↗

An updated and expanded characterization of the biological sciences academic job market

In the biological sciences, many areas of uncertainty exist regarding the factors that contribute to success within the faculty job market. Earlier work from our group reported that beyond certain thresholds, academic and career metrics like the number of publications, fellowships or career transition awards, and years of experience did not separate applicants who received job offers from those who did not. Questions still exist regarding how academic and professional achievements influence job offers and if candidate demographics differentially influence outcomes. To continue addressing these gaps, we initiated surveys collecting data from faculty applicants in the biological sciences field for three hiring cycles in North America (Fall 2019 to the end of May 2022), a total of 449 respondents were included in our analysis. These responses highlight the interplay between various scholarly metrics, extensive demographic information, and hiring outcomes, and for the first time, allowed us to look at persons historically excluded due to ethnicity or race (PEER) status in the context of the faculty job market. Between 2019 and 2022, we found that the number of applications submitted, position seniority, and identifying as a women or transgender were positively correlated with a faculty job offer. Applicant age, residence, first generation status, and number of postdocs, however, were negatively correlated with receiving a faculty job offer. Our data are consistent with other surveys that also highlight the influence of achievements and other factors in hiring processes. Providing baseline comparative data for job seekers can support their informed decision-making in the market and is a first step towards demystifying the faculty job market.

scientific communication and education↗

Near infrared spectroscopic characterization of sesamin, a dietary lignan natural product

Sesamin, a lignan component of sesame seed oil, has shown pharmacologic benefits, such as anti-oxidative and anti-inflammatory qualities. However, the amount of data available to the field is surprisingly sparse, as for instance there is no known spectroscopic characterization of sesamin. This work provides the first experimental near infrared spectrum of sesamin. Sesamin powder was subjected to experimental Fourier-transform infrared spectroscopy, and the resulting spectrum was compared to quantum chemical calculations of sesamins stereoisomers in various hydration states. Major peaks of sesamin were assigned vibrational modes through comparison of computed and observed spectra. Multiple sesamin species may be present in a typical powder sample, coexisting with potential trace hydration.

biochemistry↗

Identification and targeting of microbial putrescine acetylation in bloodstream infections

The growth of antimicrobial resistance (AMR) has highlighted an urgent need to identify bacterial pathogenic functions that may be targets for clinical intervention. Although severe bacterial infections profoundly alter host metabolism, prior studies have largely ignored alterations in microbial metabolism in this context. Performing metabolomics on patient and mouse plasma samples, we identify elevated levels of bacterially-derived N- acetylputrescine during gram-negative bloodstream infections (BSI), with higher levels associated with worse clinical outcomes. We discover that SpeG is the bacterial enzyme responsible for acetylating putrescine and show that blocking its activity reduces bacterial proliferation and slows pathogenesis. Reduction of SpeG activity enhances bacterial membrane permeability and results in increased intracellular accumulation of antibiotics, allowing us to overcome AMR of clinical isolates both in culture and in vivo. This study highlights how studying pathogen metabolism in the natural context of infection can reveal new therapeutic strategies for addressing challenging infections.

microbiology↗

Stable, efficient, and typical dynamic functional connectivity patterns relate to higher general intelligence

General intelligence, referred to as g, is hypothesized to emerge from the capacity to dynamically and adaptively reorganize macroscale brain connectivity. Temporal reconfiguration can be assessed using dynamic functional connectivity (dFC), which captures the propensity of brain connectivity to transition between a recurring repertoire of distinct states. Conventional dFC metrics commonly focus on categorical state switching frequencies which do not fully assess individual variation in continuous connectivity reconfiguration. Here, we supplement frequency measures by quantifying within-state connectivity consistency, dissimilarity between connectivity across states, and conformity of individual connectivity to group-average state connectivity. We utilized resting-state fMRI data from the large-scale Human Connectome Project and applied data-driven multivariate Partial Least Squares Correlation to explore emergent associations between dynamic network properties and cognitive ability. Our findings reveal a positive association between g and the stable maintenance of states characterized by distinct connectivity between higher-order networks, efficient reconfiguration (i.e., minimal connectivity changes during transitions between similar states, large connectivity changes between dissimilar states), and ability to sustain connectivity close to group-average state connectivity. This hints at fundamental properties of brain-behavior organization, suggesting that general cognitive processing capacity is supported by the ability to efficiently reconfigure between stable and population-typical connectivity patterns. Impact StatementNovel evidence for an association between the stability, efficiency, and typicality of macro-scale dynamic functional connectivity patterns of the brain and higher general intelligence.

neuroscience↗

Discovery of New Broad-Spectrum Anti-Infectives for Eukaryotic Pathogens Using Bioorganometallic Chemistry

Drug resistance observed with many anti-infectives clearly highlights the need for new broad-spectrum agents to treat especially neglected tropical diseases (NTDs) caused by eukaryotic parasitic pathogens including fungal infections. Since these diseases target the most vulnerable communities who are disadvantaged by health and socio-economic factors, new agents should be, if possible, easy-to-prepare to allow for commercialization based on their low cost. In this study, we show that simple modification of one of the most well-known antifungal drugs, fluconazole, with organometallic moieties not only improves the activity of the parent drug but also broadens the scope of application of the new derivatives. These compounds were highly effective in vivo against pathogenic fungal infections and potent against parasitic worms such as Brugia, which causes lymphatic filariasis and Trichuris, one of the soil-transmitted helminths that infects millions of people globally. Notably, the identified molecular targets indicate a mechanism of action that differs greatly from the parental antifungal drug, including targets involved in biosynthetic pathways that are absent in humans, offering great potential to expand our armamentarium against drug-resistant fungal infections and NTDs targeted for elimination by 2030. Overall, the discovery of these new compounds with broad-spectrum activity opens new avenues for the development of treatments for several current human infections, either caused by fungi or by parasites, including other NTDs, as well as newly emerging diseases. ONE-SENTENCE SUMMARYSimple derivatives of the well-known antifungal drug fluconazole were found to be highly effective in vivo against fungal infections, and also potent against the parasitic nematode Brugia, which causes lymphatic filariasis and against Trichuris, one of the soil-transmitted helminths that infects millions of people globally.

pharmacology and toxicology↗

Brief report: Reclassifying SCLC-Y as SMARCA4 deficient malignancies - resolving the controversy

IntroductionThe classification of small cell lung cancer (SCLC) into distinct molecular subtypes defined by ASCL1, NEUROD1, POU2F3 or YAP1 expression, paves the way for the development of targeted therapeutics. However, the existence of a distinct YAP1-expressing SCLC subtype remains controversial. Here we have undertaken a detailed molecular and histological characterisation of YAP1 expressing SCLC-Y to understand the biology of this proposed subtype. MethodsThe mutational landscape of human SCLC cell lines was interrogated to identify pathogenic genomic alterations unique to SCLC-Y. Xenograft tumours generated from cell lines representing the molecular subtypes of SCLC (SCLC-A, -N, -P and -Y) were evaluated by a panel of pathologists. Diagnoses were validated by transcriptomic analysis of primary tumour and human cell line datasets. ResultsUnexpectedly, pathogenic mutations in SMARCA4 were identified in six of eight SCLC-Y cell lines and correlated with reduced SMARCA4 mRNA and protein expression. Pathologist evaluations revealed that SMARCA4-deficient SCLC-Y tumours exhibited features consistent with thoracic SMARCA4-deficient undifferentiated tumours (SMARCA4-UT). Similarly, the transcriptional profile SMARCA4-mutant SCLC-Y lines more closely resembled primary SMARCA4-UT, or SMARCA4-deficient non-small cell carcinoma, than SCLC. Combining clinical, pathological, transcriptomic, and genetic data we found little evidence to support a diagnosis of SCLC for any of the YAP1-expressing cell lines originally used to define the SCLC-Y subtype. ConclusionsSCLC-Y cell lines harbour inactivating SMARCA4 mutations and exhibit characteristics consistent with SMARCA4-deficient malignancies rather than SCLC. Our findings suggest that, unlike ASCL1, NEUROD1 and POU2F3, YAP1 is not a subtype defining transcription factor in SCLC.

cancer biology↗

Feature Importance Network reveals novel functional relationships between biological features in Arabidopsis thaliana

Understanding how the different cellular components are working together to form a living cell requires multidisciplinary approaches combining molecular and computational biology. Machine learning shows great potential in life sciences, as it has the ability to find novel relationships between biological features. Here, we constructed a dataset of 11,801 gene features for 31,522 Arabidopsis thaliana genes, and developed a machine learning workflow to identify linked features. The detected linked features are visualised as a Feature Important Network (FIN), which can be mined to reveal a variety of novel biological insights pertaining to gene function. We demonstrate how FIN can be used to generate novel insights into gene function. To make this network easily accessible to the scientific community, we present the FINder database, available at finder.plant.tools (http://finder.plant.tools/).

bioinformatics↗

ETV2 regulates PARP-1 binding protein to induce ER stress-mediated cell death in tuberin-deficient cells

Lymphangioleiomyomatosis (LAM) is a rare progressive disease, characterized by mutations in the tuberous sclerosis complex genes (Tsc1 or Tsc2), and hyperactivation of mechanistic target of rapamycin complex 1 (mTORC1). The effectiveness of mTORC1 inhibitors is limited by their lack of cytotoxic effects. Here, we report that E26 transformation specific (ETS) Variant Transcription Factor 2 (ETV2) is a critical regulator of Tsc2-deficient cell survival. Nuclear localization of ETV2 in Tsc2-deficient cells is mTORC1-independent and is enhanced by spleen tyrosine kinase (Syk) inhibition. In the nucleus, ETV2 transcriptionally regulates poly(ADP-ribose) polymerase 1 binding protein (PARPBP), a coregulator of transcription, mRNA and protein expression. Silencing of ETV2 or PARPBP in Tsc2-deficient cells induced ER-stress and increased cell death in vitro and in vivo. We also found ETV2 expression in human cells with loss of heterozygosity for TSC2 lending support to the translational relevance of our findings. In conclusion, we report a novel signaling axis unique to Syk-inhibition is mTORC1-independent and promotes a cytocidal response in Tsc2-deficient cells, and therefore, maybe a potential alternative therapeutic target in LAM.

cell biology↗

Heterogeneous Tfh cell populations that develop during enteric helminth infection predict the quality of type 2 protective response

T follicular helper (Tfh) cells are an important component of the germinal centre (GC)-mediated humoral immunity. Yet, how regulation of Tfh- GC responses impacts on effective responses to helminth infection are poorly understood. Here we show that chronic helminth Trichuris muris infection fails to induce Tfh-GC B cell responses, with Tfh cells expressing T-bet and IFN-{gamma}. In contrast, Tfh cells that express GATA-3 and IL-4 dominate responses to an acute, resolving infection. Accordingly, heightened expression and increased chromatin accessibility of Th1- and Th2 cell-associated genes is observed in chronic and acute induced Tfh cells, respectively. However, both acute and chronic Tfh cell populations retained the capacity to produce IL-21 in spite of the Th-biased response. Blockade of Tfh-GC interactions impaired type 2 immunity, highlighting the protective role of GC-dependent Th2-like Tfh cell responses against helminths. Collectively, these results provide new insights into the protective roles of Tfh-GC responses and identify distinct transcriptional and epigenetic features of Tfh cells that emerge during resolving or chronic helminth infections. Author summaryAbout a quarter of the world population is afflicted with parasitic worm infection. Although deworming drugs can reduce the levels of the infection, they fail to prevent reinfections. Therefore, the most sustainable goal is to develop vaccines against human helminth parasites, which has been extremely challenging due to the lack of understanding of host-parasite interactions. While the protective roles of T helper 2 (Th2) cells are well established, the regulation of T follicular helper (Tfh) cells and their roles during helminth infection remain poorly defined. In this study, we describe the differential regulation of Tfh cell responses during chronic non-protective vs acute protective responses during helminth infection. We show that Tfh cells during chronic infection are rare and have strikingly different characteristics to acute-induced Tfh cells, which appear to be more like Th2 cells. Specifically, we show that blockade of Th2-like Tfh cell response during acute infection results in the host failing to expel the worms. Our study identifies that Tfh cell populations that emerge during chronic and acute infection are strikingly heterogeneous and critically important in mediating protective immune responses against helminths.

immunology↗