Recombinant Mouse Interleukin-33 (Il33), partial

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Product Specs

Form
Lyophilized powder

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Lead Time
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Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to consolidate the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our standard glycerol concentration is 50% and serves as a guideline for your use.
Shelf Life
Shelf life depends on several factors, including storage conditions, buffer composition, temperature, and the protein's inherent stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized forms have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquot for multiple uses to prevent repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.

The tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its development.

Synonyms
Il33Interleukin-33; IL-33) [Cleaved into: Interleukin-33(102-266); Interleukin-33(109-266)]
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
109-266
Protein Length
Partial
Purity
>85% (SDS-PAGE)
Species
Mus musculus (Mouse)
Target Names
Target Protein Sequence
SI QGTSLLTQSP ASLSTYNDQS VSFVLENGCY VINVDDSGKD QEQDQVLLRY YESPCPASQS GDGVDGKKLM VNMSPIKDTD IWLHANDKDY SVELQRGDVS PPEQAFFVLH KKSSDFVSFE CKNLPGTYIG VKDNQLALVE EKDESCNNIM FKLSKI
Uniprot No.

Target Background

Function
Interleukin-33 (IL-33) is a cytokine that binds to and signals through the IL1RL1/ST2 receptor, subsequently activating NF-κB and MAPK signaling pathways in target cells. It plays a role in Th2 cell maturation, inducing the secretion of T helper type 2-associated cytokines. Additionally, it is involved in the activation of mast cells, basophils, eosinophils, and natural killer cells. IL-33 acts as a chemoattractant for Th2 cells and may function as an alarmin, amplifying immune responses during tissue injury. In quiescent endothelium, the uncleaved form is constitutively and abundantly expressed, functioning as a chromatin-associated nuclear factor with transcriptional repressor properties. It may sequester nuclear NF-κB/RELA, thereby reducing the expression of its target genes. This form is rapidly lost upon angiogenic or proinflammatory activation.
Gene References Into Functions
  1. Il33 -/- mice exhibited reduced anxiety-like behaviors and deficits in social novelty recognition, despite intact sociability. Alterations in c-Fos immunoreactivity were observed in brain regions associated with anxiety. PMID: 29379874
  2. This study demonstrates that IL-33 promotes gastrointestinal allergy independently of TSLP. PMID: 28656964
  3. This research highlights the crucial role of interleukin 33 in promoting colorectal cancer development by inducing tumor-infiltrating ST2L+ regulatory T cells. PMID: 29950152
  4. Combined blockade of IL-13 and IL-33 pathways results in greater inhibition of type 2 inflammation compared to individual pathway inhibition. PMID: 27697499
  5. ST2 deficiency in early sepsis downregulates myeloid precursors, inflammatory NK, and dendritic cells. PMID: 30001716
  6. During acute, resolving colitis, the IL-33/ST2 axis plays a crucial role in gut mucosal healing by inducing epithelial-derived miR-320, promoting epithelial repair and inflammation resolution. PMID: 30224451
  7. IL-33 may downregulate CLDN1 expression through the ERK/STAT3 pathway in keratinocytes. PMID: 29534857
  8. Epithelial cell release of IL-33 and GM-CSF activates p65 and the p38-MK2/3 signaling module in dendritic cells, leading to Th2 polarization and allergic inflammation. PMID: 29288203
  9. Injection of IL-21- or IL-33-expressing plasmids facilitates clearance of persistent genotype B strain BPS and protects cured mice from re-challenge. PMID: 29242561
  10. In a sepsis model, IL-33 treatment enhanced IFN-γ levels, promoted survival, and increased gammadelta T cells and NK cells. These protective effects are IFN-γ dependent. PMID: 29610934
  11. The VHL-HIF-glycolysis axis is essential for late-stage ILC2 maturation and function via the IL-33-ST2 pathway. PMID: 29452935
  12. Manipulating the IL33-NLRP3 axis may suppress neuroinflammation and improve antimalarial drug efficacy in cerebral malaria. PMID: 29954866
  13. IL-33 deficiency exacerbated atopic dermatitis-like inflammation, suggesting a regulatory role in disease. PMID: 29368135
  14. IL-33 provides a protective mechanism at the mucosal barrier during influenza-associated bacterial superinfection. PMID: 28401938
  15. IL-33 acts directly on bone marrow ILC2s, making them an early source of IL-5 in IL-33-driven eosinophilia. PMID: 28921511
  16. Blockade of the IL-33/ST2 axis reduces acetaminophen-mediated organ injury by dampening liver chemokine release and activation of liver non-parenchymal cells. PMID: 29032512
  17. FAK controls the tumor immune environment through a transcriptional regulatory network mediated by nuclear IL-33. PMID: 29208683
  18. Thymic stromal lymphopoietin and IL-33 promote skin inflammation and vaccinia virus replication in atopic dermatitis. PMID: 26830114
  19. IL-33 is involved in Schaffer collateral/CA1 long-term potentiation (LTP) relevant to spatial learning and memory in a MyD88-dependent manner. PMID: 29147584
  20. IL-33 induces Th17 cell responses via IL-1β and IL-6 from IL-33-matured dendritic cells. PMID: 28802996
  21. Metaplasia induction and macrophage polarization after parietal cell loss are coordinated through an IL-33 and IL-13 cytokine signaling network, linking injury responses to intrinsic mucosal mechanisms and infiltrating M2 macrophages. PMID: 28196875
  22. IL-33/ST2 induces proinflammatory cytokines (TNF-α and IL-6) through IL-13 production in Plasmodium chabaudi-infected mice, playing a critical role in inflammatory responses to malaria. PMID: 28359899
  23. Intestinal epithelial cells, via the IL-33/ST2 axis, control pro-inflammatory TH17 cells to maintain homeostasis. PMID: 28198366
  24. In IL-4 and IL-13 pre-treated cells, IL-33 stimulation significantly increases mRNA for Ccl3, Ccl5, Ccl17, Ccl24, and Il1b, paralleled by upregulated miR-155-5p, potentially regulating allergic inflammation. IL-33-activated macrophages may contribute to exacerbated airway inflammation in allergic asthma. PMID: 29621782
  25. Hydrogen water administration reduces atopic dermatitis severity, TEWL, serum TARC levels, mast cell infiltration, and proinflammatory cytokine (IL-1β and IL-33) secretion in skin lesions. PMID: 28889151
  26. IL-33 is necessary for activating Th2-type natural helper cells following respiratory syncytial virus-induced airway inflammation. PMID: 28771101
  27. Interleukin-33 is critical for aged neuron repair; its deficiency causes tau abnormality, late-onset neurodegeneration, and Alzheimer's disease-like cognitive impairment. PMID: 28675392
  28. Under physiological conditions, IL-33 signals primarily to microglia, promoting microglial synapse engulfment and synapse depletion in vivo. PMID: 29420261
  29. IL-33 cooperates with Kras and TGFβR2 mutations in extrahepatic cholangiocarcinoma (ECC) development; anti-IL-33 treatment suppresses ECC development. PMID: 28439013
  30. IL-33 plays a protective role in trinitrobenzenesulfonic acid-induced colitis, related to alternatively activated macrophage polarization. PMID: 28423665
  31. IL-33 is significantly increased in inflamed skin in urushiol-induced allergic contact dermatitis due to increased production and release from keratinocytes. PMID: 27821781
  32. P. gingivalis fimbriae and lipopeptide induce IL-33 production, recognized by TLR2, modulating dendritic cell function in periodontal diseases. PMID: 28637954
  33. CLOCK temporally gates mast cell responses to IL-33 via ST2 expression regulation, providing insights into IL-33/mast cell-associated physiology and pathologies. PMID: 28259547
  34. Alveolar Gq/11 signaling maintains alveolar homeostasis, increasing TGFβ activation and decreasing epithelial IL-33 synthesis in response to mechanical stress. Gq/11 signaling disruption promotes inflammatory emphysema but protects against mechanically induced lung injury. PMID: 27811142
  35. CB2 contributes to eosinophil-driven disease pathogenesis, providing insights into CB2-mediated eosinophil priming. PMID: 26864308
  36. IL-33 dysregulates lung Treg cells and impairs immunologic tolerance to inhaled antigens. PMID: 28196763
  37. Gut pericryptal fibroblasts release IL-33, translating bacterial infection into an epithelial response for antimicrobial defense. PMID: 27184849
  38. Mex-3B facilitates allergic airway inflammation by upregulating IL-33 expression via inhibiting miR-487b-3p-mediated IL-33 repression. PMID: 27545879
  39. IL-33 promotes extracellular matrix deposition and angiogenesis, indicating a role in matrix synthesis and neovascularization. PMID: 28697404
  40. IL-33-induced IL-13 production by Th2 cells is dependent on EGFR expression. PMID: 29045902
  41. Heligmosomoides polygyrus Alarmin Release Inhibitor (HpARI) prevents active IL-33 binding to its receptor. PMID: 29045903
  42. Despite synovial expression in arthritic mice and normal keratinocytes, IL-33 is not required for collagen-induced arthritis or psoriasis. PMID: 27317338
  43. Chronic pancreatitis is an IL-33-dependent inflammation resulting from synergistic interactions between NOD1 and CCKR signaling pathways. PMID: 26813347
  44. IL-33 and TSLP are required for epithelial cell IL-25 expression, mucous metaplasia, and ILC2 expansion following early-life rhinovirus infection. PMID: 28701507
  45. TGF-β1, β2, or β3 reduce IL-33-mediated TNF, IL-6, IL-13, and MCP-1 production in bone marrow-derived mast cells, inhibiting IL-33-mediated Akt and ERK phosphorylation and NF-κB- and AP-1-mediated transcription. PMID: 28637902
  46. EGF increases IL-33 production and ST2 receptor expression during intestinal inflammation and carcinogenesis; the EGF/IL-33/ST2 axis is a potential therapeutic target in colon cancer. PMID: 27300306
  47. Lactic acid suppresses IL-33-mediated mast cell inflammatory responses via HIF-1α-dependent miR-155 suppression. PMID: 27559047
  48. Liver Treg cells highly express ST2, upregulated in the liver of infected mice, illustrating IL-33's importance in liver Treg cell suppression during cytomegalovirus (CMV) infection. PMID: 28448566
  49. Plasmacytoid dendritic cells producing IFN-α and IL-33 play a pivotal role in chronic fibro-inflammatory responses in murine and human IgG4-related autoimmune pancreatitis. PMID: 28373582
  50. In vitro IL-33 treatment abrogates MHV-3 and IFN-γ induced FGL2 expression in RAW264.7 and THP-1 cells. PMID: 28494352
Database Links
Protein Families
IL-1 family
Subcellular Location
Nucleus.; Nucleus. Chromosome. Cytoplasm. Cytoplasmic vesicle, secretory vesicle. Secreted.

Q&A

What is the molecular structure and characterization of recombinant mouse IL-33?

Recombinant mouse IL-33 is typically derived from E. coli expression systems and corresponds to the mature form spanning amino acids Ser109-Ile266 of the full-length protein. The mature form contains the IL-1-like cytokine domain that is responsible for receptor binding and biological activity. IL-33 shares structural homology with IL-1 family cytokines but less than 25% amino acid sequence identity with other IL-1 family proteins. The protein contains a predicted bipartite nuclear localization sequence and a homeodomain-like helix-turn-helix DNA binding domain in its N-terminal portion .

What are the primary signaling pathways activated by IL-33?

IL-33 primarily signals through binding to the ST2L receptor (IL-1R4), forming a ternary signaling complex through subsequent association with IL-1 receptor accessory protein (IL-1RAcP). This receptor engagement activates downstream signaling cascades involving MyD88 and STAT1 pathways. In research contexts, functional assays demonstrate that the ED50 for this effect is typically between 0.0125-0.05 ng/mL. The IL-33/ST2 signaling axis is particularly important in Th2 immune responses and has been implicated in various physiological and pathological processes including tissue regeneration .

How is IL-33 processed in vivo and how does this affect its biological activity?

Similar to IL-1, IL-33 can be cleaved by caspase-1 in vitro, generating an N-terminal fragment slightly shorter than the C-terminal fragment. The C-terminal fragment corresponds to mature IL-33 and is responsible for binding and triggering signaling through the ST2L receptor. This processing is critical for its extracellular cytokine functions. The full-length IL-33 localizes to the nucleus in various cell types including HUVECs, suggesting distinct intracellular roles. Understanding this dual functionality is important when designing experiments, as different forms of the protein may produce different biological effects .

What are the optimal conditions for administration of recombinant IL-33 in mouse models?

When designing in vivo experiments using recombinant mouse IL-33, researchers should consider both route of administration and dosing regimen. For systemic effects, intraperitoneal or intravenous administration is commonly used, while site-specific studies may utilize direct injection into target tissues. In the liver regeneration studies, recombinant murine IL-33 successfully normalized regenerative capacity in IL-33-/- mice after partial hepatectomy (PHx) .

For immunological studies, intramuscular administration has proven effective as demonstrated in rabies vaccination models where IL-33-expressing recombinant rabies virus was administered at 10^6 FFU. This dosing was sufficient to induce significant immunological changes including dendritic cell activation and enhanced antibody responses . Researchers should titrate doses based on their specific experimental endpoints, with preliminary dose-response studies recommended to determine optimal concentrations.

How can researchers effectively measure IL-33-induced immune responses in experimental models?

Multiple methodological approaches can be employed to comprehensively assess IL-33-induced immune responses:

  • Flow cytometry analysis is essential for quantifying cellular responses. Specific protocols should include:

    • Analysis of dendritic cell activation markers (CD11c+CD80+, CD11c+CD86+)

    • Quantification of T follicular helper (Tfh) cells (CD4+CXCR5hiPD-1hi)

    • Enumeration of germinal center B cells (B220+GL7hiCD95/Fashi)

    • Assessment of plasma cell development (B220loCD138+)

  • Immunofluorescence assays for detection of germinal center formation in lymphoid tissues

  • Serological assays including:

    • FAVN tests for virus neutralizing antibody quantification

    • ELISA for detection of specific antibody isotypes (IgG, IgG1, IgG2a)

For optimal results, researchers should collect samples at multiple time points (early: 3-7 days; intermediate: 14-21 days; late: >28 days) to capture the kinetics of immune responses.

What controls should be included when studying the effects of recombinant IL-33 in experimental systems?

Rigorous experimental design for IL-33 studies should include:

  • Genetic controls: When using transgenic models, proper comparisons should include:

    • Wild-type controls

    • IL-33-/- mice (to study loss of function)

    • ST2-/- mice (to distinguish receptor-dependent from receptor-independent effects)

  • Treatment controls:

    • Vehicle controls (e.g., DMEM as mock treatment)

    • Dose-matched controls of non-IL-33 expressing constructs (e.g., LBNSE vs. rLBNSE-IL33)

    • Heat-inactivated IL-33 to control for non-specific protein effects

  • Cell-specific controls:

    • Conditional knockouts (e.g., ST2 deficiency specifically in enterochromaffin cells) to delineate cell-specific contributions to observed phenotypes

These controls enable researchers to distinguish direct IL-33 effects from background variations and to identify the specific pathways through which IL-33 mediates its biological functions.

How can IL-33 be utilized in regenerative medicine research, particularly for liver regeneration?

IL-33 has shown significant potential in enhancing liver regenerative capacity through the following mechanisms:

  • Serotonin pathway activation: IL-33 increases serotonin release from enterochromaffin cells into portal blood following partial hepatectomy (PHx). This IL-33/ST2 signaling axis is critical, as demonstrated by:

    • Delayed liver regeneration in both IL-33-/- and ST2-/- mice

    • Rescue of regenerative capacity in IL-33-/- mice (but not ST2-/- mice) through recombinant murine IL-33 administration

    • Restoration of normal regeneration in both knockout models using the HTR2A agonist (±)-2,5-dimethoxy-4-iodoamphetamine

  • Molecular signaling: The downstream mechanism involves serotonin/HTR2A-induced hepatocyte proliferation through p70S6K activation, providing a targetable pathway for therapeutic intervention .

Researchers investigating liver regeneration applications should monitor both functional regenerative parameters and molecular markers of the IL-33/ST2/serotonin/p70S6K axis to comprehensively assess therapeutic efficacy.

What are the methodological approaches for using IL-33 to enhance vaccine efficacy?

IL-33 has demonstrated significant potential as a vaccine adjuvant, particularly in the context of rabies vaccination. Research methodologies for exploring this application include:

  • Vector design strategies:

    • Engineering recombinant viral vectors (such as rabies virus) to overexpress IL-33

    • Ensuring stable IL-33 expression through appropriate promoter selection and codon optimization

  • Immunological assessment protocol:

    • Monitoring lymph node development and germinal center formation (size, weight, and histological analysis)

    • Quantifying follicular helper T cell (Tfh) induction via flow cytometry (CD4+CXCR5hiPD-1hi)

    • Tracking germinal center B cell expansion (B220+GL7hiCD95/Fashi)

    • Measuring plasma cell generation in bone marrow (B220loCD138+)

  • Functional readouts:

    • Virus neutralizing antibody (VNA) kinetics, with particular attention to early responses (3 dpi) and peak levels (21 dpi)

    • Antibody isotype profiling (IgG, IgG1, IgG2a) to assess quality of humoral response

    • Protection assays against pathogen challenge

Implementation of these methodologies has demonstrated that IL-33-expressing vaccines can induce earlier and stronger antibody responses (10.74 IU/mL at 3 dpi, peaking at 91.19 IU/mL at 21 dpi) compared to conventional vaccines (19.33 IU/mL peak at 21 dpi), with significantly enhanced protection (86.67% vs. 46.67% survival) .

How does IL-33 modulate dendritic cell function and what experimental approaches best capture these effects?

IL-33 significantly influences dendritic cell (DC) activation and function through multiple mechanisms that can be studied using the following experimental approaches:

  • Flow cytometric analysis of DC activation markers:

    • Standard panel should include CD11c in combination with costimulatory molecules CD80 and CD86

    • Comparison between IL-33-exposed and control groups at multiple time points (3 and 6 days post-stimulation recommended)

  • Functional assays to assess DC capabilities:

    • Antigen processing and presentation assays

    • T cell stimulation capacity through mixed lymphocyte reactions

    • Cytokine production profiles via ELISA or intracellular cytokine staining

  • Mechanistic studies of the signaling pathways:

    • Analysis of ST2, MyD88, and STAT1 pathway activation

    • Assessment of costimulatory molecule expression induction mechanisms

Research has demonstrated that IL-33 overexpression significantly increases the percentage of activated DCs in draining lymph nodes, providing a mechanistic basis for enhanced adaptive immune responses. This DC activation represents a critical link between innate immunity and the development of robust T and B cell responses in IL-33-mediated immune enhancement .

How can researchers address inconsistent results when working with recombinant IL-33 in different experimental models?

Inconsistent results when working with IL-33 can stem from several factors:

  • Protein quality considerations:

    • Source of recombinant IL-33 (E. coli-derived vs. mammalian)

    • Presence of protein carrier in the preparation

    • Batch-to-batch variation in biological activity

  • Experimental design factors:

    • Timing of intervention and sample collection is critical, as IL-33 effects show distinct temporal patterns

    • Genetic background of mouse strains can significantly influence IL-33 responses

    • Different tissues may show varying sensitivity to IL-33 stimulation

  • Conflicting pathway interactions:

    • IL-33 interacts with multiple signaling pathways that may have opposing effects depending on the physiological context

    • The presence of soluble ST2 (sST2) can sequester IL-33 and reduce its bioavailability

To address these issues, researchers should:

  • Perform comprehensive dose-response studies

  • Include appropriate genetic controls (wild-type, IL-33-/-, ST2-/-)

  • Consider tissue-specific knockout models to isolate effects

  • Measure soluble ST2 levels in experimental systems

  • Validate key findings using alternative approaches or IL-33 sources

What are the critical considerations when analyzing IL-33-mediated immune activation in context-dependent experimental systems?

Context-dependent analysis of IL-33 immune activation requires attention to several key factors:

  • Temporal dynamics:

    • Early IL-33 responses (3-6 days) primarily reflect innate immunity and initial DC activation

    • Intermediate responses (7-14 days) capture germinal center formation and Tfh cell generation

    • Late responses (>14 days) reflect plasma cell development and antibody production

  • Tissue microenvironment:

    • Lymph node responses should be analyzed in the context of size and weight changes

    • Liver regeneration models require correlation of IL-33 activity with hepatocyte proliferation markers

    • Enterochromaffin cell-specific responses affect serotonin availability in the portal circulation

  • Data integration approaches:

    • Correlate cellular phenotypes with functional outcomes

    • Consider pathway cross-talk, particularly between IL-33/ST2 and serotonin/HTR2A systems

    • Analyze antibody responses in terms of both quantity (titer) and quality (isotype distribution)

Implementation of these analytical approaches will help researchers accurately interpret the complex and context-dependent effects of IL-33 in different experimental systems.

What are promising therapeutic applications of IL-33 beyond current research paradigms?

Based on current understanding of IL-33 biology, several promising therapeutic directions warrant further investigation:

  • Extended regenerative medicine applications:

    • While liver regeneration has been demonstrated, IL-33's regenerative potential in other tissues remains largely unexplored

    • Investigation of IL-33 in neural tissue repair, cardiac regeneration, and wound healing represents logical extensions of current research

  • Combination immunotherapeutic approaches:

    • Integration of IL-33 with checkpoint inhibitors for cancer immunotherapy

    • Combination of IL-33 with other cytokines or immune modulators to fine-tune immune responses

    • Development of cell-specific delivery systems to target IL-33 to particular tissues or cell types

  • Novel vaccine adjuvant strategies:

    • Optimization of IL-33 expression levels in vaccine vectors

    • Development of stabilized IL-33 variants with enhanced adjuvant properties

    • Exploration of IL-33 in the context of mucosal vaccination strategies

These applications would benefit from methodological advances in IL-33 delivery, stability enhancement, and targeted activation strategies.

How can researchers effectively study the dual nuclear and cytokine functions of IL-33 in a unified experimental approach?

Studying the dual functionality of IL-33 requires sophisticated experimental designs:

  • Protein engineering approaches:

    • Creation of mutant IL-33 variants that selectively retain either nuclear or cytokine activity

    • Development of tagged IL-33 constructs that allow tracking of protein localization while maintaining biological activity

    • Design of inducible expression systems to temporally control nuclear versus cytokine functions

  • Imaging methodologies:

    • Live cell imaging of fluorescently tagged IL-33 to track nuclear-cytoplasmic shuttling

    • Correlative light and electron microscopy to define subcellular localization at high resolution

    • FRET-based approaches to detect protein-protein interactions in different cellular compartments

  • Functional genomics strategies:

    • ChIP-seq analysis to identify IL-33 DNA binding sites and associated gene regulation

    • RNA-seq following nuclear or extracellular IL-33 manipulation to distinguish transcriptional programs

    • Proteomics approaches to identify differential protein interaction networks

These approaches would help decipher the context-dependent functions of IL-33 and provide insight into how its dual roles are integrated in physiological and pathological conditions.

What novel methodological approaches could enhance the specificity and efficacy of IL-33-based interventions?

Advancing IL-33 research requires innovative methodological developments:

  • Advanced delivery systems:

    • Nanoparticle-based delivery of recombinant IL-33 for enhanced stability and targeted distribution

    • Cell-specific targeting strategies using antibody-cytokine fusion proteins

    • Controlled release formulations to achieve sustained IL-33 activity at physiologically relevant levels

  • Genetic engineering refinements:

    • CRISPR-based approaches for precise modification of endogenous IL-33 or ST2 expression

    • Development of cell type-specific and inducible IL-33 expression systems

    • Engineering of synthetic IL-33 variants with enhanced stability or receptor specificity

  • Systems biology integration:

    • Multi-parameter profiling of IL-33 responses using CyTOF or single-cell RNA-seq

    • Computational modeling of IL-33 signaling networks to predict optimal intervention points

    • Machine learning approaches to identify biomarkers of IL-33 responsiveness

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