thi9 Antibody

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Description

Terminology Analysis

The designation "thi9" does not conform to established antibody nomenclature systems:

  • Prefix: No recognized antigen/target association (e.g., "anti-Th/To" in scleroderma )

  • Suffix: Missing standard numerical identifiers (e.g., "10E8v4" for HIV bNAbs )

  • Structural: No alignment with antibody classes (IgG, IgA) or formats (bispecific, trispecific )

2.1. Typographical Errors

  • Likely candidates:

    • Anti-Th/To: Well-characterized in systemic sclerosis (5% prevalence, pulmonary hypertension risk )

    • Anti-Thio™: Commercial antibody targeting thioredoxin fusion proteins (Catalog no. R920-25 )

2.2. Undisclosed Research

  • No preprints or conference abstracts match "thi9" in major repositories (PubMed Central, ClinicalTrials.gov)

Recommendations for Further Inquiry

StepActionPurpose
1Verify spelling/terminologyConfirm if "thi9" refers to anti-Th/To, anti-Thio™, or another antibody
2Consult proprietary databasesExplore internal pharmaceutical R&D pipelines
3Contact antibody distributorsRequest clarification from vendors (e.g., Thermo Fisher , Sino Biological )

Related Antibodies for Context

AntibodyTarget/FunctionRelevanceSources
Anti-Th/ToNucleolar RNA-processing enzymesSSc-associated pulmonary hypertension
Trispecific bNAbs (e.g., N6/PGDM1400-10E8v4)HIV-1 envelope glycoproteinsPotent antiviral activity (3-log viral load reduction )
Anti-Thio™Thioredoxin fusion proteinsWestern blot detection reagent

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
thi9; SPAC9.10; Thiamine transporter thi9
Target Names
thi9
Uniprot No.

Target Background

Function
Thi9 is a thiamine transporter involved in the cellular uptake of thiamine. Other compounds, including pyrithiamine, oxythiamine, amprolium, and the thiazole moiety of thiamine, have been demonstrated to be substrates of thi9.
Database Links
Protein Families
Amino acid-polyamine-organocation (APC) superfamily
Subcellular Location
Endoplasmic reticulum membrane; Multi-pass membrane protein. Cell membrane; Multi-pass membrane protein.

Q&A

What are Th9 cells and how do they differ from other T helper cell subsets?

Th9 cells are a distinct subset of CD4+ T helper cells primarily characterized by their production of the pleiotropic cytokine IL-9. Unlike Th1 cells (which produce IFN-γ) or Th2 cells (which produce IL-4, IL-5, and IL-13), Th9 cells have a unique cytokine profile dominated by IL-9 secretion. These cells develop from naive CD4+ T cells under specific cytokine conditions, particularly in the presence of TGF-β and IL-4. Th9 cells can function as both positive and negative regulators of immune responses, with particularly important roles in antitumor immunity, allergic inflammation, and autoimmune diseases .

The differentiation pathway of Th9 cells involves specific transcription factors including PU.1, IRF4, and BATF, which work together to establish the Th9 cell lineage. Unlike more stable T helper subsets, Th9 cells demonstrate some plasticity and can be reprogrammed under certain conditions, which has important implications for therapeutic manipulation of these cells.

What is the functional significance of IL-9 production by Th9 cells?

IL-9 secreted by Th9 cells serves as a critical mediator of immune responses in various contexts. In antitumor immunity, IL-9 contributes to protection against tumor development by promoting CD8+ cytotoxic T lymphocyte (CTL) activation and enhancing dendritic cell (DC) recruitment to tumor tissues . IL-9 can stimulate mast cell growth and function, influence epithelial cell biology, and regulate other immune cell populations.

Studies have demonstrated that neutralization of IL-9 in tumor models significantly affects tumor progression, confirming the biological relevance of this cytokine. For example, in a B16 melanoma lung model, IL-9 neutralization impacts tumor development, while the transfer of tumor-specific Th9 cells provides protection against tumor growth . This protective effect involves enhanced CD45+ leukocyte infiltration in tumor tissues, particularly CD4+ T cells, CD8+ T cells, and dendritic cell subsets.

How do researchers detect and quantify Th9 cells in experimental samples?

Detection and quantification of Th9 cells in experimental samples typically employ multiple complementary approaches:

  • Flow cytometry: The gold standard approach combines surface marker staining (CD4+) with intracellular cytokine staining for IL-9 after brief stimulation with PMA/ionomycin in the presence of protein transport inhibitors. Additional markers such as CD44 can be included to assess activation status .

  • RT-PCR and qPCR: Measurement of IL-9 mRNA expression, along with Th9-associated transcription factors (PU.1, IRF4), provides insight into Th9 differentiation at the transcriptional level.

  • ELISA and multiplex cytokine assays: Quantification of secreted IL-9 in culture supernatants or biological fluids offers functional assessment of Th9 activity.

  • Single-cell RNA sequencing: Provides comprehensive transcriptional profiling to identify Th9 cell populations and potential heterogeneity within this subset.

For accurate quantification, researchers should combine multiple detection methods and include appropriate controls, particularly when working with tissue samples where Th9 cells may represent a small percentage of the total immune cell population.

What mechanisms underlie the antitumor effects of Th9 cells?

Th9 cells mediate antitumor immunity through several coordinated mechanisms:

  • CTL activation: Th9 cells promote strong CD8+ cytotoxic T lymphocyte activation, enhancing tumor-specific killing. This occurs through recruitment of dendritic cells (DCs) into tumor tissues and subsequent presentation of tumor antigens in tumor-draining lymph nodes (TDLNs) .

  • Chemokine production: Th9 cells induce expression of chemokines, particularly Ccl20, in tumor tissues. This chemokine production contributes significantly to the antitumor effects by recruiting immune effector cells .

  • Leukocyte infiltration: Treatment with Th9 cells substantially increases CD45+ leukocyte infiltration into tumor tissues, including increased numbers of CD4+ T cells, CD8+ T cells, and both CD8α+ and CD11b+ dendritic cell subsets .

  • Enhanced T cell activation: Tumor tissue-infiltrating CD4+ and CD8+ T cells in Th9-treated mice show significantly upregulated expression of activation markers like CD44, indicating enhanced functional activity .

These mechanisms work in concert to establish a tumor microenvironment that supports immune-mediated tumor rejection, distinguishing Th9 cells as potent mediators of antitumor immunity.

How do Th9 cells compare to other T helper subsets in antitumor responses?

Comparative studies between Th9 cells and other T helper subsets, particularly Th1 cells, reveal distinct patterns of antitumor activity:

These comparative analyses suggest that while both Th1 and Th9 cells contribute to antitumor immunity, they may operate through partially distinct mechanisms and with different levels of efficacy depending on the tumor context.

What is the relationship between Th9 cells and dendritic cell recruitment in tumor immunity?

Th9 cells establish a critical relationship with dendritic cells (DCs) that forms a central axis of their antitumor activity:

  • DC recruitment: Th9 cells significantly enhance the recruitment of both CD8α+ and CD11b+ DC subsets into tumor tissues. This recruitment is substantially higher in Th9-treated mice compared to controls .

  • Antigen presentation: The recruited DCs take up tumor antigens within the tumor microenvironment and migrate to tumor-draining lymph nodes (TDLNs), where they present these antigens to T cells .

  • CTL priming: Through this enhanced antigen presentation, Th9-mediated DC recruitment leads to improved priming and activation of tumor-specific CD8+ CTLs.

  • Chemokine-dependent mechanism: The Th9-induced expression of chemokines, particularly Ccl20, in tumor tissues appears to be a key mediator of this DC recruitment .

This Th9-DC-CTL axis represents a coordinated immunological circuit that amplifies antitumor immunity through sequential cellular interactions, highlighting the complex network through which Th9 cells exert their effects.

What are the optimal protocols for in vitro differentiation of Th9 cells?

The differentiation of naive CD4+ T cells into Th9 cells requires specific cytokine conditions and careful optimization:

Standard Protocol:

  • Cell isolation: Purify naive CD4+ T cells (CD4+CD62L+CD44low) from spleen and lymph nodes using magnetic or flow cytometric sorting.

  • Activation: Stimulate cells with plate-bound anti-CD3 (1-5 μg/ml) and soluble anti-CD28 (1-2 μg/ml) antibodies.

  • Cytokine cocktail: Add TGF-β (2-5 ng/ml) and IL-4 (10-20 ng/ml) to the culture medium. Some protocols also include IL-2 (10-20 U/ml) to enhance cell survival and proliferation.

  • Culture duration: Maintain cells in these conditions for 3-5 days.

  • Validation: Confirm Th9 differentiation by measuring IL-9 production using intracellular cytokine staining and ELISA.

Critical Optimization Points:

  • Cytokine concentrations significantly impact differentiation efficiency and should be titrated for each experimental system.

  • The presence of APCs or APC-derived factors may influence Th9 differentiation.

  • Serum components in culture media can affect differentiation outcomes; consider using serum-free media for more consistent results.

  • For antigen-specific Th9 cells, stimulation with cognate peptide and APCs rather than anti-CD3/CD28 may better mimic physiological conditions.

What techniques are most effective for isolating and characterizing antibodies against Th9-associated antigens?

Isolating and characterizing antibodies against Th9-associated antigens requires sophisticated methodologies:

  • Single-cell encapsulation approaches: Advanced techniques combine microfluidic encapsulation of single antibody-secreting cells (ASCs) into an antibody capture hydrogel with antigen bait sorting by flow cytometry. This approach enables high-throughput screening (up to 10^7 cells per hour) and efficient isolation of antigen-specific ASCs .

  • Antibody capture systems: Using droplet microfluidics to compartmentalize single ASCs into hydrogels creates a stable capture matrix that concentrates secreted antibodies and facilitates the addition and removal of detection reagents .

  • Flow cytometric selection: Multiplexed detection and high-throughput sorting capabilities of FACS can isolate antigen-specific ASCs for subsequent single-cell sequencing and recombinant antibody expression .

  • Antibody validation: Comprehensive validation includes:

    • Binding affinity measurements using surface plasmon resonance

    • Functional assays specific to the antibody's target

    • Cross-reactivity testing

    • Epitope mapping

These advanced approaches significantly increase the efficiency of antibody discovery, with some technologies demonstrating hit rates exceeding 85% (where characterized antibodies bind the target) .

How can researchers analyze the functional interactions between Th9 cells and other immune cell populations?

Analyzing functional interactions between Th9 cells and other immune populations requires multi-dimensional approaches:

  • In vivo transfer models: Adoptive transfer of tumor-specific Th9 cells into tumor-bearing mice allows assessment of subsequent changes in tumor-infiltrating immune populations. Flow cytometric analysis can quantify changes in CD4+ T cells, CD8+ T cells, dendritic cells, macrophages, and granulocytes .

  • Co-culture systems: In vitro co-culture of Th9 cells with other immune cell types (DCs, CD8+ T cells) allows direct assessment of cellular crosstalk. Transwell systems can distinguish contact-dependent from soluble factor-mediated effects.

  • Chemokine/cytokine analysis: Measurement of chemokine and cytokine expression in tissues or co-cultures through techniques like qPCR, multiplex protein assays, or single-cell RNA sequencing provides insight into molecular mediators of cellular interactions .

  • Imaging approaches: Advanced imaging techniques including multiphoton intravital microscopy and imaging mass cytometry can visualize cellular interactions in tissues with spatial resolution.

  • Correlation analyses: Statistical correlation analyses between different immunological parameters (e.g., Th9 frequency, DC infiltration, CTL activation) can reveal functional relationships. Strong correlations (Spearman ρ values >0.8) between assay results indicate biologically meaningful relationships .

These complementary approaches allow researchers to dissect the complex cellular networks through which Th9 cells coordinate immune responses.

How can Th9 cells be genetically engineered for enhanced antitumor function?

Genetic engineering approaches can enhance the antitumor functions of Th9 cells:

  • Transcription factor overexpression: Overexpression of Th9-associated transcription factors (PU.1, IRF4, BATF) can enhance IL-9 production and stabilize the Th9 phenotype.

  • Chimeric antigen receptors (CARs): Integration of tumor-specific CARs into Th9 cells combines the antigen-specific targeting of CAR-T therapy with the unique antitumor mechanisms of Th9 cells.

  • Cytokine engineering: Expression of additional cytokines (IL-21, IL-2) can enhance Th9 function and survival in the tumor microenvironment.

  • Chemokine receptor modification: Overexpression of chemokine receptors that facilitate tumor homing can improve Th9 cell localization to tumor sites.

  • Checkpoint inhibition: Genetic modification to disrupt inhibitory checkpoint receptors (PD-1, CTLA-4) or their downstream signaling can enhance Th9 persistence and function in the suppressive tumor microenvironment.

  • Metabolic engineering: Modifications that alter cellular metabolism can enhance Th9 cell survival and function in the nutrient-poor tumor microenvironment.

These approaches are at various stages of preclinical development, with genetic engineering of Th9 cells representing an emerging frontier in cancer immunotherapy research.

What are the current methodological approaches for studying Th9 cells in human samples?

Studying Th9 cells in human samples presents unique challenges that require specialized methodological approaches:

  • Flow cytometry panels: Multiparameter flow cytometry combining surface markers (CD3, CD4, CD45RO, CCR6, CXCR3) with intracellular staining for IL-9, PU.1, and IRF4 enables identification of human Th9 cells. Optimized stimulation protocols (PMA/ionomycin or anti-CD3/CD28) are critical for reliable IL-9 detection.

  • CyTOF/mass cytometry: This technique allows simultaneous detection of >40 parameters, enabling comprehensive phenotyping of rare Th9 populations in complex human samples.

  • Single-cell RNA sequencing: Transcriptomic profiling at single-cell resolution identifies human Th9 cells based on gene expression signatures rather than relying solely on IL-9 production.

  • Cytokine capture assays: These techniques can isolate viable IL-9-producing cells from human samples for downstream functional studies.

  • TCR sequencing: Analysis of T cell receptor repertoires of human Th9 cells provides insight into their antigen specificity and clonal relationships.

  • Organoid co-culture systems: Co-culture of human Th9 cells with tumor organoids enables study of tumor-immune interactions in a system that better recapitulates human biology.

These complementary approaches allow comprehensive characterization of human Th9 cells despite their relative rarity in clinical specimens.

How can researchers develop and validate specific antibodies against Th9-associated markers?

Development and validation of antibodies against Th9-associated markers require systematic approaches:

  • Antigen selection and preparation: Careful selection of target antigens (IL-9, PU.1, IRF4, or Th9-specific surface markers) and production of high-quality recombinant proteins or peptides is critical.

  • Microfluidic-enabled antibody discovery: Advanced platforms combining microfluidic encapsulation of antibody-secreting cells with antigen-bait sorting enable rapid identification of high-affinity antibodies. This approach can screen millions of cells and yield antibodies with subnanomolar affinities in as little as 2 weeks .

  • Validation workflow:

    • Binding specificity: ELISA, flow cytometry, and Western blotting against recombinant proteins and cellular lysates

    • Epitope mapping: To ensure recognition of relevant epitopes

    • Cross-reactivity testing: Against related proteins to confirm specificity

    • Functional validation: In relevant biological assays

    • Reproducibility assessment: Across different lots and in multiple laboratories

  • Correlative validation: Strong correlations between different assay results (antibody titers, inhibition titers, neutralization potency) indicate robust antibody function. Spearman correlation coefficients (ρ) exceeding 0.8 suggest high reliability .

  • Application-specific optimization: Antibodies should be validated specifically for each intended application (flow cytometry, immunohistochemistry, Western blotting) as performance can vary across techniques.

These rigorous development and validation approaches ensure the generation of specific, reliable antibodies for Th9 research applications.

What methodological challenges limit current research on Th9 cells and how might they be addressed?

Several methodological challenges currently limit Th9 research:

  • Phenotypic instability: Th9 cells show plasticity in vivo, complicating tracking and functional assessment. Potential solutions include:

    • Development of more stable Th9 reporter systems

    • Identification of stable epigenetic or transcriptional signatures

    • Single-cell fate mapping technologies

  • Low frequency in vivo: Th9 cells often represent a small percentage of total CD4+ T cells. Approaches to address this include:

    • Advanced enrichment protocols prior to analysis

    • Single-cell technologies that can identify rare populations

    • In vitro expansion protocols that maintain phenotypic stability

  • Functional heterogeneity: Th9 populations may contain functionally distinct subsets. This can be addressed through:

    • Single-cell functional assays

    • Correlation of phenotypic markers with functional outputs

    • Comprehensive transcriptional and epigenetic profiling

  • Species differences: Murine and human Th9 cells may differ in key aspects. Strategies include:

    • Development of humanized mouse models

    • Parallel studies in human and mouse systems with careful cross-validation

    • Focus on conserved pathways and functions

  • Technical limitations in antibody development: Creating highly specific antibodies against Th9-associated targets remains challenging. Advanced approaches like microfluidic encapsulation of antibody-secreting cells can significantly improve efficiency and specificity .

Addressing these challenges will require interdisciplinary approaches combining immunology, systems biology, and advanced biotechnology.

How might Toll-like receptor signaling modulate Th9 cell function and antibody responses?

Toll-like receptor (TLR) signaling, particularly through TLR9, has complex effects on Th9 function and antibody responses:

  • TLR9 effects on antibody affinity maturation: TLR9 signaling can block the ability of B cells to capture, process, and present antigens to helper T cells. While TLR9 agonists like CpG enhance the magnitude of antibody responses to protein vaccines, they may impair affinity maturation .

  • Mechanistic basis: TLR9 signaling antagonizes antibody affinity maturation by interfering with key B cell functions, including antigen capture, processing, and presentation to helper T cells. This interference affects critical checkpoints in germinal center formation .

  • Impact on Th9-B cell interactions: Given that Th9 cells interact with B cells in certain contexts, TLR9-mediated effects on B cells may indirectly influence Th9 function in humoral responses.

  • TLR9 signaling in Th9 cells: Direct TLR9 stimulation in Th9 cells may alter their cytokine production profile, potentially enhancing or inhibiting IL-9 secretion depending on the context.

  • Therapeutic implications: The opposing effects of TLR9 signaling on antibody quantity versus quality have important implications for vaccine design and immunotherapy approaches involving Th9 cells.

Understanding the complex interplay between TLR signaling and Th9 cells represents an important frontier in immunological research with significant therapeutic implications.

What emerging technologies show promise for advancing Th9 cell research?

Several cutting-edge technologies are poised to advance Th9 research:

  • Advanced antibody discovery platforms: Systems combining microfluidic encapsulation of single antibody-secreting cells with antigen-bait sorting by flow cytometry enable rapid identification of high-affinity antibodies. These approaches can screen millions of cells at rates of 10^7 cells per hour, dramatically accelerating antibody discovery .

  • Electrochemical immunosensors: Novel electrochemical detection systems using nanomaterials like gold nanoparticles (AuNPs) and thionine (THI) offer ultrasensitive detection of cytokines relevant to Th9 biology. These approaches provide rapid, sensitive detection with lower limits of detection than conventional methods .

  • Spatial transcriptomics and proteomics: These technologies allow assessment of Th9 cells and their interactions within their tissue microenvironment with preserved spatial context.

  • CRISPR-based functional genomics: High-throughput CRISPR screening approaches enable systematic identification of genes regulating Th9 differentiation and function.

  • Artificial intelligence approaches: Machine learning algorithms can identify complex patterns in multiparametric data to better characterize Th9 heterogeneity and predict functional outcomes.

  • Organoid and microphysiological systems: Advanced 3D culture systems incorporating multiple cell types can model complex Th9 interactions with improved physiological relevance.

These emerging technologies promise to overcome current limitations in Th9 research and accelerate translation of basic findings into clinical applications.

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