Biomedical subjects

Qian Li

Publications and source records attributed to Qian Li.

16 recordsLinked to original sources

PubMed2026

Genomic Characterization of ETV6::RUNX1-Positive Childhood B-ALL in a Chinese Cohort: Novel Fusion Partners, Co-Occurring Mutations, and Risk-Stratifying Biomarkers.

BACKGROUND: ETV6::RUNX1 is the most common genetic abnormality in pediatric B-cell acute lymphoblastic leukemia (ALL; ∼25%), yet the comprehensive genetic architecture and molecular predictors of intermediate-risk (IR) stratification remain incompletely characterized. METHODS: We performed whole-transcriptome sequencing (Illumina NovaSeq 6000, rRNA depletion, 41.70 Gb/sample) on bone marrow samples from 93 pediatric ETV6::RUNX1-positive B-ALL patients. Bioinformatics analysis included STAR alignment, MuTect2 variant calling, FusionCatcher fusion detection, and VEP annotation. The Jaccard index with permutation testing assessed mutation co-occurrence; logistic regression identified independent predictors of IR classification. RESULTS: Beyond ETV6::RUNX1, we identified 51 distinct fusion genes across the cohort, including the reciprocal RUNX1-ETV6 (73.1%), chr8::KLF1210 (38.7%), and KLF12-chr8 (34.4%). Somatic mutations in 249 genes were detected; the most frequent were KIAA1715 (17.2%), KRAS (11.8%), and NSD2 (10.8%). Network analysis revealed significant chromatin modifier co-occurrence (KIAA1715-KMT2C: J = 0.136, p = 0.015) and KRAS-NRAS mutual exclusivity (J = 0.000, p = 0.042). PTCH1 (OR = 3.50, 95% CI 0.21-58.49, p = 0.41) and GNB1 (OR = 6.5, 95% CI 1.2-34.8, p = 0.029) mutations independently predicted IR classification. chr8::KLF1210 fusion correlated with higher Day-19 MRD levels (p = 0.038). CONCLUSIONS: GNB1 mutation represents a novel independent predictor of IR stratification in ETV6::RUNX1-positive B-ALL. The chromatin modifier co-occurrence module and extensive fusion architecture reveal biological heterogeneity within this favorable-risk subtype, with potential implications for risk-adapted therapeutic strategies.

B‐ALL↗

PubMed2026

Exploring trop-2-directed ADCs monotherapy and combination therapy in pretreated mTNBC: a real-world study.

PURPOSE: Although Trop-2 antibody-drug conjugates (ADCs) have improved outcomes in pretreated metastatic triple-negative breast cancer (mTNBC), resistance remains common and the optimal combination strategy in routine practice is unclear. METHODS: In this retrospective real-world study, we identified patients with mTNBC from a health record-derived database who received sacituzumab govitecan or sacituzumab tirumotecan in the later-line setting between April 2020 and December 2025. Patients received at least two cycles of Trop-2 ADC therapy as monotherapy, plus a PD-1 inhibitor (dual-agent combination), or plus a PD-1 inhibitor and an antiangiogenic agent (triple-agent combination). RESULTS: Descriptively, the ORR was 57.1% in the triple-agent combination group, 38.5% in the dual-agent combination group, and 31.7% in the monotherapy group. Median follow-up was 15.2 months (95% CI, 8.7-20.6). Median progression-free survival (mPFS) was 15.4 months (95% CI, 5.3-NA) in the triple-agent combination group, 10.0 months (95% CI, 4.2-NA) in the dual-agent combination group, and 3.8 months (95% CI, 3.2-5.2) in the monotherapy group. Severe treatment-related toxicity was not increased in the combination groups. Exploratory analyses identified a genomic scoring system that may enable stratification of patients with a higher likelihood of benefiting from the triple-agent combination. CONCLUSION: To our knowledge, this study represents one of the earliest real-world evaluations of this triple-agent strategy in previously treated mTNBC, providing a basis for further prospective validation and biomarker-guided application.

Humans↗

PubMed2026

Decoding mechanoregulation in immunological synapses using biomimetic artificial cells.

Mechanical force-driven signaling has emerged as a key regulator of cell-cell interactions (CCIs), which can enhance immune cell function. However, current biochemical approaches for studying CCIs offer minimal direct control over cellular bulk phenotypes, while synthetic biomaterial systems fail to mimic the dynamic complexity of cells. Here we introduce kpiCells, a biomaterial-based platform that uses a biomimetic membrane-endoplasmic architecture to enable finely tuned phenocopying of cellular states via modular mechanical, chemical and topographical inputs. We demonstrate that kpiCells can engage in physiological CCIs and reproduce critical subcellular features. In T cell systems, kpiCells enable integrated interrogation of afferent mechanosensing pathways and efferent force-exertion pathways, and support measurement of piconewton-scale forces at individual T cell antigen receptors as well as single cell-cell force fingerprints that define activation thresholds. This work establishes kpiCells as a bionic model that enables synthetic material design with the level of functional complexity approaching living cell systems.

Artificial Cells↗

PubMed2026

ATR-dependent phosphorylation of the histone acetyltransferase HBO1 suppresses chromatin binding and promotes replication stress responses.

Mounting evidence has shown that histone acetyltransferase binding to ORC1 (HBO1) serves as an oncoprotein, warranting the use of the small molecule inhibitor WM-3835 for cancer therapy. However, HBO1 is ubiquitously expressed in both tumor and normal tissues, with potential to increase the risk of systemic toxicity. This unmet need highlights the importance of identifying suitable biomarkers to predict the sensitivity to HBO1 inhibitor. Here, we show that ATR, a key regulator of DNA replication stress, is a novel interacting partner of HBO1. In addition, we reveal a regulatory function of HBO1 in DNA replication stress responses, in an ATR-dependent manner. Mechanistically, ATR mediated HBO1 Ser50/53 phosphorylation interferes with the genomic binding of HBO1 and regulates gene expression. Notably, overexpression of HBO1 mutated at the ATR phosphorylation site (S50/53A) dampens the expression of DNA repair related genes and suppresses tumor colony formation, consistent with the observations of WM-3835 treatment. Inhibition of ATR significantly antagonized the sensitivity to WM-3835 treatment. Collectively, our findings uncovered a previously unidentified role of HBO1 in the regulation of replication stress and discovered ATR as a potential biomarker for WM-3835 treatment.

ATR↗

PubMed2026

The ASH HematOmics Program supports integrative analysis of genomic and clinical data in hematologic diseases.

The increasing availability of genomic and transcriptomic sequencing has uncovered diverse genomic alterations and distinct gene expression profiles driving hematologic diseases, yet a data integration and sharing platform dedicated to hematology remains lacking. We developed the American Society of Hematology (ASH) HematOmics Program (ASHOP; ashop.hematology.org), a resource for exploring somatic alterations and gene fusions, transcriptomic results, and clinical data from 5960 patients spanning B-cell precursor and T-cell acute lymphoblastic leukemia, acute myeloid leukemia, myelodysplastic syndromes, and chronic lymphocytic leukemia. Users can explore genomic alteration landscapes and comutation patterns via lollipop and matrix plots and analyze significantly altered genes in user-defined subcohorts. Transcriptomes can be explored through interactive uniform manifold approximation and projections, clustering, differential expression, and pathway enrichment. Genomic, transcriptomic features, and clinical outcomes can be correlated in a user-driven manner or combined to precisely define study cohorts. We illustrate the following 4 use cases of ASHOP: (1) stratification of DUX4-rearranged B-cell leukemias into Early/Multipotent and Committed subgroups with distinct outcomes, (2) characterization of HOXA/HOXB expression patterns in acute myeloid leukemias, (3) correlating mutational burden with mismatch repair deficiency and mutational signatures, and (4) investigation of TP53 alteration landscape. ASHOP is an open-access resource to inform genomic and transcriptomic data interpretation for hematologic malignancies and will expand to support additional diseases and data modalities from the ASH community.

Humans↗

PubMed2026

Characterization of the gut phageome and functional genes carried by phages in laying hens with fatty liver hemorrhagic syndrome.

BACKGROUND: The gut microbiota is closely associated with the development of fatty liver hemorrhagic syndrome (FLHS); however, the function of its viral component, particularly bacteriophages, remains poorly understood. This study compared clinical parameters and the cecal phageome between 30-week-old (W30) and 50-week-old (W50) laying hens to characterize gut phages in the context of this metabolic disorder. RESULTS: Clinical analysis revealed that the W50 group exhibited typical FLHS, accompanied by elevated serum liver function and lipid markers (P < 0.05). Functional prediction of the gut microbiota suggested a reduced lipid-metabolic capacity in W50 compared to the W30 group. A total of 20,274 phage genomes were identified from the two groups. These phages were primarily classified into 67 viral families, including Salasmaviridae, Herelleviridae, Suoliviridae, Peduoviridae, Crevaviridae, and Casjensviridae. The families Druskaviridae, Felixviridae, and Stanwilliamsviridae were uniquely detected in the W50 group. The phage community structure differed significantly between groups, with both phage diversity and richness markedly lower in W50 (P < 0.05). LEfSe analysis revealed that phage taxa such as Stegnyidae, Herpelidae, and Chasovidae were significantly enriched in the W50 group, whereas Crewdviridae, Salasmaviridae, and Castroviridae were predominantly enriched in the W30 group. Functional annotation showed that these phages encode numerous metabolism-related genes and carry antimicrobial resistance genes (ARGs) as well as virulence factor genes. Notably, the diversity of ARGs carried by W50 phages was significantly higher (P < 0.05), and ARG-rank analysis indicated a greater potential risk to human health. CONCLUSIONS: This study provides the first characterization of the gut phageome associated with FLHS in laying hens and confirms that gut phages constitute an important reservoir of ARGs. These findings offer a new perspective for understanding the pathogenesis of this disease and its associated public health risks. Video Abstract.

Animals↗

PubMed2026

Ocean warming enhances iron use efficiencies of marine ammonia-oxidizing archaea.

Ammonia-oxidizing archaea (AOA) are among the most abundant microorganisms in the ocean, playing a fundamental role in the marine nitrogen cycle. Although temperature and trace metal availability each individually influence the growth and activity of marine AOA, there is only a very limited understanding of the interactive effects of these two major factors on AOA in the rapidly changing ocean. Here, we show that the iron requirements of the model marine AOA species Nitrosopumilus maritimus SCM1 are highly sensitive to temperature changes. A 5 °C increase in growth temperature reduced SCM1 iron requirements by >80%, and was associated with a substantial increase in iron use efficiencies (IUE, mol C fixed/h/mol cellular Fe) under iron-limited and warming conditions. A thermally enhanced IUE enables SCM1 to more efficiently utilize scarce available iron supplies to support its growth. Whole-cell proteomic analysis revealed that iron limitation decreased expression of a ferredoxin and increased expression of a copper-dependent plastocyanin that became more pronounced with warming, suggesting coordinated electron transport response regulation under combined iron and temperature stress. The global impacts of these temperature-dependent changes to AOA iron demands were assessed using sensitivity experiments with a state-of-the-art biogeochemical model. Simulations showed that impacts on nitrification were concentrated at higher latitudes, but the alterations to ammonia concentrations were redistributed toward lower latitudes by mode and intermediate water transport. These findings reveal a previously unrecognized mechanism by which ocean warming may alleviate iron limitation of AOA, enhance their ecological competitiveness, and reshape ocean nitrogen cycling throughout marine ecosystems.

Iron↗

PubMed2026

iModMix: integrative module analysis for multi-omics data.

SUMMARY: Integrative Module Analysis for Multi-omics Data (iModMix) is a biology-agnostic framework that enables the discovery of novel associations across any type of quantitative abundance data, including but not limited to transcriptomics, proteomics, and metabolomics. Instead of relying on pathway annotations or prior biological knowledge, iModMix constructs data-driven modules using graphical lasso to estimate sparse networks from omics features. These modules are summarized into eigenfeatures and correlated across datasets for horizontal integration, while preserving the distinct feature sets and interpretability of each omics type. iModMix operates directly on matrices containing expression or abundances for a wide range of features, including but not limited to genes, proteins, and metabolites. Because it does not rely on annotations (e.g., KEGG identifiers), it can seamlessly incorporate both identified and unidentified metabolites, addressing a key limitation of many existing metabolomics tools. iModMix is available as a user-friendly R Shiny application requiring no programming expertise (https://imodmix.moffitt.org), and as a Bioconductor R package for advanced users (https://bioconductor.org/packages/release/bioc/html/iModMix.html). The tool includes several public and in-house datasets to illustrate its utility in identifying novel multi-omics relationships in diverse biological contexts. AVAILABILITY AND IMPLEMENTATION: iModMix is freely available from Bioconductor (https://bioconductor.org/packages/release/bioc/html/iModMix.html), and the example dataset package (iModMixData) is also available from Bioconductor (https://bioconductor.org/packages/release/ data/experiment/html/iModMixData.html). The R package source code and Docker are available from GitHub: https://github.com/biodatalab/iModMix. Shiny application can be accessed at: https://imodmix.moffitt.org.

Multiomics↗

PubMed2026

Identification of tomato leaf miner secretory proteins and their roles in influencing plant defenses.

The tomato leaf miner (Tuta absoluta) is a globally destructive pest that cause extensive damage to tomato crops by chewing mouthparts, leading to severe necrosis, fruit abortion, and substantial yield losses. To date, the elicitors/effectors of T. absoluta have not been characterized. In this study, we combined proteomic profiling of T. absoluta-infested tomato leaves with transcriptomic analysis of salivary glands to identify candidate molecules involved in herbivory-driven plant responses. Bioinformatics analyses predicted 40 candidate elicitors and effectors, which were subsequently assessed through transient expression assays in Nicotiana benthamiana. The results demonstrated that the candidate number 33 (T. absoluta 33, Ta33) induced cell death in both the intracellular space and the apoplast, while Ta21 triggered a strong apoplastic reactive oxygen species (ROS) burst. Conversely, Ta38 effectively suppressed INF1-induced cell death. Quantitative real-time PCR analysis further showed that these genes were highly expressed during the feeding stage, supporting their involvement in plant-insect molecular dialogue. This study systematically identified and characterized elicitors and effectors of T. absoluta, providing a foundational framework for elucidating its herbivory mechanisms and developing targeted management strategies.

Moths↗

PubMed2026

The Mediating Role of Immune Cells in the Genetically Predicted Relationship between Gut Microbiota and Puerperal Sepsis: A Mendelian Randomization Study.

INTRODUCTION: The causal relationship between gut microbiota and puerperal sepsis (PS) remains unclear, and there is a lack of in-depth research regarding the potential mediating role of immune cells in this context. OBJECTIVE: This study aims to investigate the causal relationship between gut microbiota and PS using Mendelian randomization (MR) analysis and to assess the mediating effects of immune cells on the risk of PS onset through mediation analysis. MATERIALS AND METHODS: We selected data from large-scale genome-wide association studies (GWAS) involving 473 gut microbiota species, 731 immune cell phenotypes, and PS datasets. Univariate MR (UVMR) analysis was employed to explore the causal relationship between gut microbiota and PS, with the primary statistical method being inverse variance weighting (IVW). Multiple statistical models were applied for sensitivity analysis to minimize the confounding effects of horizontal pleiotropy and heterogeneity. Subsequently, a two-step mediation MR analysis was conducted to evaluate whether immune cells mediate the relationship between gut microbiota and PS. RESULTS AND DISCUSSION: Analysis using various statistical models indicated that 11 gut microbiota species (e.g., Azorhizobium, Bacillus velezensis, CAG-245 sp000435175, Lentimicrobiaceae, and Providencia) exhibited a causal relationship with PS. Further reverse causal analysis between PS and gut microbiota ruled out the possibility of reverse causality. The two-step mediation MR analysis demonstrated that the percentage of IgD-CD27- B cells (10.26%) and CD62L- monocytes (17.29%) partially mediated the effect of CAG-245 sp000435175 on PS risk. CONCLUSION: This study provides evidence of a causal relationship between the abundance of certain gut microbiota species and PS, while also revealing a potential mediating role of immune cells. These findings offer valuable theoretical insights into personalized treatment strategies and the development of novel diagnostic biomarkers for PS.

Humans↗

PubMed2025

MOADE: a multimodal autoencoder for dissociating bulk multi-omics data.

In single cell biology, the complexity of tissues may hinder lineage cell mapping or tumor microenvironment decomposition, requiring digital dissociation of bulk tissues. Many deconvolution methods focus on transcriptomic assay, not easily applicable to other omics due to ambiguous cell markers and reference-to-target difference. Here, we present MOADE, a multimodal autoencoder pipeline linking multi-dimensional features to jointly predict personalized multi-omic profiles and cellular compositions, using pseudo-bulk data constructed by internal non-transcriptomic reference and external scRNA-seq data. MOADE is evaluated through rigorous simulation experiments and real multi-omic data from multiple tissue types, outperforming nine deconvolution pipelines with superior generalizability and fidelity.

Humans↗

PubMed2025

Redistribution of super-enhancers promotes malignancy in human hepatocellular carcinoma.

INTRODUCTION: Super-enhancers (SEs) are defined as the regulatory region where intensive transcriptional cofactors bind. Dysregulation of SEs is related to multiple diseases, however, its role in hepatocellular carcinoma (HCC) remains elusive. OBJECTIVES: This work aimed to reveal the dysregulation of SEs in HCC and the therapeutic potential for HCC treatment. METHODS: Fifteen HCC and twelve paracancerous samples underwent chromatin immunoprecipitation (ChIP) sequencing targeting H3K27ac, and subsequently the SEs were identified by the Rank Ordering of Super-Enhancers algorithm. Differential SEs featured by tumor or paracancerous tissues were identified, and cross-referenced with the differential expression genes and prognosis-related genes in 2 independent public or in-house HCC cohorts. The SE region of HSPA4 was deleted in the genome of HCCLM3 cell by CRISPR-Cas9, named HSPA4-SE-KO cells. The potential druggable transcriptional factors were identified by CRCmapper, GeneMANIA and Drug Gene Interaction Database (DGID). RESULTS: Five targets, including CDKN2C, HSPA4, GGH, PDGFA, and CAP2, were identified as HCC-gain SEs with oncogenic potential, which were further validated experimentally by SE inhibitors and ChIP targeting H3K27ac and BRD4. Cell proliferation and migration assays further confirmed that silencing of these HCC-gain SEs significantly suppressed the malignant phenotype of HCC cell lines. HSPA4 appeared strongest oncogenic functions among these targets, which was further verified by HCC mouse xenograft models and clinical sample investigation. Moreover, HSPA4-SE-KO cells obtained significantly suppressed HSPA4 expression and retarded tumorigenic capability. Finally, dysregulation of transcriptional factors engaged in the oncogenic role of SEs, and Danthron that targeting RXRA were identified from DGID for HCC treatment. CONCLUSION: The dysregulated SE landscape of HCC promoted the malignancy phenotype by the upregulation of oncogenes, and SE-regulatory network might be potential drug targets for HCC treatment. Our study deepened the insight of epigenetic dysregulation in HCC, offering the groundwork for SEs as potential therapeutic targets of HCC treatment.

Humans↗

PubMed2025

The super-enhancer regulatory gene SH2D1A promotes the progression of T cell acute lymphoblastic leukemia by activating CHI3L2.

T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive leukemia subtype and a prevalent malignancy in children, with poor prognosis, high relapse rates, and drug resistance. Recent research has shown that super-enhancer-regulated genes play crucial roles in T-ALL progression. In this study, we identified SH2 domain containing 1 A (SH2D1A) as a gene regulated by super-enhancers, and is overexpressed, which correlates with unfavorable clinical outcomes in T-ALL. To investigate its role, we silenced SH2D1A expression in T-ALL cell models using RNA interference. This led to a significant reduction in cell proliferation, colony formation, and promoted apoptosis, as demonstrated by CCK-8 assays, soft agar colony formation, and flow cytometry analysis. In vivo, knockdown of SH2D1A significantly inhibited tumor growth and prolonged survival in mice bearing T-ALL. Mechanistically, we found that SH2D1A contributes to T-ALL progression by upregulating CHI3L2, a downstream effector that promotes cell proliferation and inhibits apoptosis. Using ChIP-Seq and RNA-seq technologies, we confirmed that SH2D1A regulates CHI3L2 expression through super-enhancer-mediated regulation in T-ALL cells. Our findings suggest that SH2D1A and CHI3L2 act as oncogenes in T-ALL, and may represent novel therapeutic targets. This research offers new insights into the molecular mechanisms of T-ALL and highlights potential avenues for therapeutic intervention.

Precursor T-Cell Lymphoblastic Leukemia-Lymphoma↗

PubMed2025

EBV Latency Programs: Molecular and Epigenetic Regulation and Its Role in Disease Pathogenesis.

Epstein-Barr virus (EBV) asymptomatically infects over 95% of the global population, and poses a great threat to human health. This review summarizes the complex mechanisms underlying EBV latency programs and their roles in both viral persistence and disease development. We comprehensively analyze the four distinct latency programs (0, I, II, and III) and their associated gene expression patterns, with particular emphasis on the key viral proteins, the Epstein-Barr virus nuclear antigen EBNA1, EBNA2, EBNA3A/B/C, LMP1, and LMP2A/B. The review explores how these latency programs contribute to various EBV-associated malignancies and autoimmune conditions, including Burkitt lymphoma, Hodgkin lymphoma, nasopharyngeal carcinoma, and multiple sclerosis. We detail the multilayered regulation of EBV latency, encompassing epigenetic modifications, chromatin organization, and long-range genomic interactions. Recent advances in understanding the molecular mechanisms of EBV latency maintenance and the virus's interaction with host cellular machinery provide new insights into potential therapeutic approaches for EBV-associated diseases.

Humans↗

PubMed2024

Assessment the carrier frequency of monogenic diseases in populations requiring assisted reproductive technology.

PURPOSE: The objective of this study is to assess the carrier frequency and pathogenic variation of monogenetic diseases in a population of 114 subjects in Han Chinese from Hebei province who are undergoing assisted reproductive technology through the utilization of Expanded Carrier Screening (ECS). METHODS: The study utilized a panel consisting of 155 severe monogenic recessive genetic diseases for ECS. Next-generation sequencing technology was employed to identify specific variants associated with ECS in a cohort of 114 subjects from 97 couples, comprising 97 females and 17 male spouses. RESULTS: A total of 114 individuals received ECS. The carrier rate of pathogenic genes in the enrolled population was 44.74% (51/114). Among the 97 females, the carrier rate of pathogenic genes was higher in those without assisted reproduction indicators than in those with assisted reproduction indicators (59.09% vs. 41.33%). However, the carrier rate of pathogenic genes in males without assisted reproductive technology was slightly lower than that with assisted reproductive technology (40% vs. 41.67%). Among both female and male participants, the carrier rate of pathogenic genes between individuals without indicators of assisted reproduction and those with such indicators was 55.55% vs. 41.38%. In 51 carriers, 72.55% (37/51) carried one genetic variant, 25.49% (13/51) carried two genetic variants, and 1.96% (1/51) carried three genetic variants. A total of 38 pathogenic genes were detected in this study, and GJB2 and MMACHC were most common. The carrier rates of the two genes were both 5.26% (6/114). A total of 55 variations were detected, and c.235delC was most frequently found. The carrier rate was 3.51% (4/114). The incidence of couples carrying the same pathogenic genes was 1.03% (1/97). CONCLUSIONS: The findings elucidate the carrier rate of pathogenic genes among 155 severe monogenic recessive genetic diseases and underscore the significance of ECS as a preventive measure against congenital anomalies. When both partners carry the same genetic mutation for a monogenic disease, preventive strategies can be taken in offspring through preimplantation genetic testing (PGT), prenatal genetic testing, or the utilization of donor gametes. ECS is instrumental in assessing reproductive risk, guiding fertility-related decisions, and reducing the prevalence of monogenic recessive genetic disorders in subsequent generations.

Humans↗

PubMed2018

E3 Ligase VHL Promotes Group 2 Innate Lymphoid Cell Maturation and Function via Glycolysis Inhibition and Induction of Interleukin-33 Receptor.

Group 2 innate lymphoid cells (ILC2s) are a specialized subset of lymphoid effector cells that are critically involved in allergic responses; however, the mechanisms of their regulation remain unclear. We report that conditional deletion of the E3 ubiquitin ligase VHL in innate lymphoid progenitors minimally affected early-stage bone marrow ILC2s but caused a selective and intrinsic decrease in mature ILC2 numbers in peripheral non-lymphoid tissues, resulting in reduced type 2 immune responses. VHL deficiency caused the accumulation of hypoxia-inducible factor 1α (HIF1α) and attenuated interleukin-33 (IL-33) receptor ST2 expression, which was rectified by HIF1α ablation or inhibition. HIF1α-driven expression of the glycolytic enzyme pyruvate kinase M2 downmodulated ST2 expression via epigenetic modification and inhibited IL-33-induced ILC2 development. Our study indicates that the VHL-HIF-glycolysis axis is essential for the late-stage maturation and function of ILC2s via targeting IL-33-ST2 pathway.

Animals↗