ATL28 Antibody

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Description

CD28 in ATL Pathobiology

CD28 is a transmembrane glycoprotein expressed on T cells that enhances T-cell receptor (TCR) signaling. In ATL, a malignancy caused by human T-cell leukemia virus type 1 (HTLV-1), CD28 signaling aberrations are common:

  • Genetic Alterations: A study of 144 ATL patients revealed CD28 gene abnormalities in 33% of cases, including activating mutations (2%), copy number variations (24%), and gene fusions (10%) .

  • Clinical Impact: Patients with CD28 alterations presented with aggressive disease subtypes (92% acute/lymphoma) and worse prognoses, particularly in chronic/smouldering ATL .

Superagonistic Anti-CD28 Antibodies

  • Mechanism: These antibodies (e.g., TGN1412) bypass TCR signaling to directly activate CD28, preferentially expanding regulatory T cells (Tregs) over conventional T cells .

  • Preclinical Efficacy:

    • Induced remission in autoimmune models by expanding CD4+CD25+FoxP3+ Tregs .

    • Adoptive transfer of CD28-activated Tregs suppressed ATL progression in murine models .

Anti-CD25 (IL-2Rα) and Anti-CD2 Antibodies

  • Daclizumab (Anti-CD25): Targets CD25, highly expressed on ATL cells, but limited efficacy in acute ATL .

  • MEDI-507 (Anti-CD2): Demonstrated superior survival benefits in murine ATL models compared to anti-CD25 therapy (P < 0.0025) .

Research Findings on Antibody-Based Therapies

  • Antibody-Dependent Cellular Cytotoxicity (ADCC):

    • MEDI-507 efficacy depended on FcγRIII expression on neutrophils/monocytes, highlighting ADCC as a key mechanism .

  • Transferrin Receptor Targeting:

    • mAb A24 blocked iron uptake via transferrin receptor (TfR), inducing apoptosis in ATL cells ex vivo .

Challenges and Emerging Strategies

  • Drug Resistance: ATL cells exhibit multidrug resistance due to CD52 and CD30 heterogeneity .

  • Bispecific Antibodies (BsAbs):

    • BsAbs targeting CD28 and viral antigens (e.g., HTLV-1) are under investigation to enhance specificity .

    • Example: Anti-CD28 x anti-PD-1 BsAbs aim to co-stimulate T cells while blocking immune checkpoints .

Future Directions

  • Biomarker-Driven Trials: Prioritize patients with CD28 alterations for targeted immunotherapy .

  • Combination Therapies: Pair CD28 agonists with PD-1 inhibitors or chemotherapy to overcome resistance .

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
ATL28; At2g35420; T32F12.20; RING-H2 finger protein ATL28; RING-type E3 ubiquitin transferase ATL28
Target Names
ATL28
Uniprot No.

Target Background

Database Links

KEGG: ath:AT2G35420

STRING: 3702.AT2G35420.1

UniGene: At.48551

Protein Families
RING-type zinc finger family, ATL subfamily
Subcellular Location
Membrane; Single-pass membrane protein.

Q&A

What is the ATL28 antibody and what is its target in human T-cells?

ATL28 antibody appears to be related to the family of antibodies that recognize antigens associated with Adult T-cell Leukemia (ATL). While specific information about ATL28 is limited in the provided context, related antibodies in this field typically target antigens found in HTLV-1 infected cells or T-cell surface receptors involved in T-cell activation and function. ATL is an aggressive lymphoid proliferative disease caused by Human T-cell Lymphotropic Virus Type 1 (HTLV-1) .

The antibody may be related to CD28 pathways, as CD28 is a critical T-cell-specific receptor that provides costimulatory signals alongside T-cell receptor (TCR) activation. CD28 ligation with its ligands CD80/CD86 on antigen-presenting cells delivers essential signals for T-cell activation . The relationship between ATL28 and CD28 would need to be clarified through specific epitope mapping and binding studies.

How do researchers differentiate between ATL-associated antibodies and conventional anti-T-cell antibodies?

Differentiating ATL-associated antibodies from conventional anti-T-cell antibodies requires specific validation approaches. Research has demonstrated that anti-ATLA (ATL-associated antigens) positive sera contain antibodies to surface glycoproteins and/or structural proteins of ATL-associated viruses (ATLV) that differ from anti-Forssman or anti-T-cell antibodies .

Key differentiation methods include:

  • Absorption studies: Sera absorbed with sheep red blood cells or human T-cell acute lymphatic leukemia cells can help distinguish viral-specific from general T-cell antibodies .

  • Indirect immunoferritin electron microscopy: This technique can visualize the binding of antibodies to viral particles versus cell membrane components, allowing researchers to confirm specificity .

  • Cross-reactivity testing: Testing antibodies against multiple cell lines including T-cell lines, B-cell lines, and non-T non-B cell lines helps establish specificity for ATL-associated antigens .

  • Immunofluorescence patterns: ATL-specific antibodies typically show distinctive cytoplasmic staining patterns in a small percentage (1-5%) of infected T-cell lines, such as MT-1 cells derived from ATL patients .

What controls should be included when using ATL28 antibody for immunofluorescence or flow cytometry?

When designing experiments with ATL28 or related antibodies for immunofluorescence or flow cytometry, several essential controls should be implemented:

  • Cell line controls:

    • Positive control: Use established ATL cell lines such as MT-1 or MT-2, which are known to express HTLV-1 antigens .

    • Negative controls: Include multiple T-cell lines known to be HTLV-1 negative, as well as B-cell lines and non-T non-B cell lines to confirm specificity .

  • Serum controls:

    • Positive control: Include sera from confirmed ATL patients with known antibody reactivity .

    • Negative control: Use sera from healthy adults from non-ATL-endemic areas .

  • Absorption controls: To rule out non-specific binding, perform parallel experiments with antibody preparations absorbed with:

    • HTLV-1 negative T-cells

    • Red blood cells (to remove potential Forssman antibodies)

  • Isotype controls: Include appropriate isotype-matched control antibodies to rule out non-specific Fc receptor binding.

  • Antigen induction control: Test cells cultured with 5-iodo-2'-deoxyuridine, which increases the proportion of antigen-bearing cells by approximately 5-fold in responsive cell lines .

How should researchers optimize the ATL28 antibody concentration for different experimental applications?

Optimizing antibody concentration is critical for achieving specific signal with minimal background. For ATL28 and related research antibodies, consider the following methodological approach:

  • Titration experiments:

    • Perform serial dilutions (typically 2-fold) starting from the manufacturer's recommended concentration

    • Test each dilution under identical experimental conditions

    • Determine the optimal signal-to-noise ratio rather than the strongest signal

  • Application-specific considerations:

    • For immunofluorescence: Begin with 1-10 μg/ml and adjust based on signal intensity and background

    • For flow cytometry: Typically 0.1-1 μg per million cells

    • For immunoprecipitation: Higher concentrations (5-10 μg/ml) may be required

    • For functional assays: Test multiple concentrations as functional effects may be dose-dependent

  • Blocking optimization:

    • Test different blocking reagents (BSA, serum, commercial blockers)

    • Optimize blocking duration (typically 30-60 minutes)

    • Consider dual blocking with both protein blockers and Fc receptor blockers

  • Control for receptor density effects:

    • Remember that CD28 expression varies with T-cell activation status

    • ATL-associated antigens may only be present in a small percentage of cells (1-5%) even in positive cell lines

How can the ATL28 antibody be utilized in studying HTLV-1 infection and transformation mechanisms?

The ATL28 antibody could be valuable for investigating HTLV-1 infection and cellular transformation processes through several advanced applications:

  • Viral protein expression dynamics:

    • Track expression of viral antigens during various stages of infection

    • Correlate antigen expression with viral replication, measured by electron microscopy detection of type C virus particles

    • Monitor changes in antigen expression following treatment with agents like 5-iodo-2'-deoxyuridine, which enhances viral protein expression

  • Investigating host-virus interactions:

    • Use co-immunoprecipitation with anti-ATL antibodies to identify viral protein interactions with host cell components

    • Perform ChIP assays to study viral integration sites and host chromatin modifications

  • Tracking cellular transformation:

    • Monitor changes in cellular phenotype markers alongside viral antigen expression

    • Use cell sorting based on antibody binding to isolate and characterize subpopulations at different transformation stages

  • Studying T-cell activation pathways:

    • If related to CD28, investigate how viral infection alters costimulatory pathway functioning

    • Examine potential crosstalk between viral proteins and T-cell activation pathways

  • Viral transmission dynamics:

    • Use the antibody to track viral transfer between cells in co-culture systems

    • Investigate the role of cell-to-cell contacts versus free virus in transmission

What considerations should researchers take into account when using ATL28 antibody for therapeutic development studies?

When exploring therapeutic applications of ATL28 or related antibodies, researchers should consider several critical factors:

  • Target specificity validation:

    • Confirm selective binding to malignant versus normal T-cells

    • Perform comprehensive cross-reactivity testing against healthy tissues

    • Verify epitope conservation across patient samples

  • Functional mechanism characterization:

    • Determine if the antibody has direct neutralizing activity

    • Evaluate potential for antibody-dependent cellular cytotoxicity (ADCC)

    • Assess complement-dependent cytotoxicity (CDC)

    • Investigate potential to induce apoptosis in target cells, similar to anti-transferrin receptor antibody (mAb A24) which induces apoptosis in ATL cells

  • Formulation considerations:

    • Evaluate humanization options to reduce immunogenicity if developed as a therapeutic

    • Consider antibody format (full IgG, F(ab')2, Fab) based on mechanism of action

    • Test stability under various storage and administration conditions

  • Preclinical efficacy models:

    • Test against both chronic and acute ATL models, as treatment response may vary by disease form

    • Evaluate combination approaches with existing therapies

    • Consider potential resistance mechanisms

  • Safety evaluation:

    • Monitor for on-target, off-tumor effects based on target expression patterns

    • Assess for cytokine release potential

    • Evaluate for unexpected immune activation or suppression

How can researchers address inconsistent staining patterns when using the ATL28 antibody for immunofluorescence?

Inconsistent staining patterns are a common challenge with antibodies detecting viral or low-abundance antigens. When experiencing variability with ATL28 or similar antibodies:

  • Sample preparation factors:

    • Cell fixation method: Compare paraformaldehyde, methanol, and acetone fixation

    • Fixation duration: Overfixation may mask epitopes while underfixation preserves poor morphology

    • Permeabilization protocol: Test different detergents (Triton X-100, saponin) and concentrations

    • Antigen retrieval: Consider heat or enzymatic antigen retrieval methods

  • Technical considerations:

    • Ensure consistent cell density across experiments

    • Standardize culture conditions prior to fixation

    • Control for T-cell activation status, which affects receptor expression

    • Verify antibody storage conditions and avoid freeze-thaw cycles

  • Biological variability factors:

    • Viral antigen expression is heterogeneous, with only 1-5% of cells in positive lines showing expression

    • Expression increases after treatment with 5-iodo-2'-deoxyuridine by approximately 5-fold

    • Consider cell cycle dependency of antigen expression

    • Account for clonal variation within cell populations

  • Detection optimization:

    • Compare direct versus indirect detection methods

    • Test different secondary antibodies or fluorophores

    • Optimize signal amplification approaches

    • Consider spectral unmixing for multicolor experiments

What are the potential causes of false positive or false negative results in ATL28 antibody-based assays?

Understanding potential sources of false results is crucial for accurate interpretation:

Causes of false positive results:

  • Cross-reactivity with other cellular antigens

  • Non-specific binding to Fc receptors on cells

  • Presence of endogenous peroxidases or phosphatases (for enzymatic detection methods)

  • Auto-fluorescence of fixed cells (particularly for immunofluorescence)

  • Background binding in immunohistochemistry due to endogenous biotin

  • Inappropriate blocking leading to high background

  • Contamination of cell cultures with HTLV-1 positive cells

Causes of false negative results:

  • Low expression of target antigen (only 1-5% of cells in ATL cell lines typically express the antigen)

  • Epitope masking due to fixation/processing

  • Antibody degradation from improper storage

  • Competition with endogenous ligands

  • Insufficient permeabilization for intracellular targets

  • Inappropriate detection system sensitivity

  • Use of cells that don't express the target (verify with positive control ATL cell lines)

Solutions to minimize false results:

  • Always include proper positive and negative controls

  • Validate results with orthogonal detection methods

  • Consider using induction methods (like 5-iodo-2'-deoxyuridine) to increase antigen expression

  • Optimize sample preparation for each application

  • Verify antibody specificity through competitive binding assays

How should researchers interpret binding kinetics data for ATL28 antibody compared to other research antibodies?

Interpreting binding kinetics is essential for understanding antibody performance in experimental systems. For ATL28 and related research antibodies:

  • Key parameters to measure:

    • Equilibrium dissociation constant (KD): Lower values indicate higher affinity

    • Association rate constant (kon): Reflects how quickly binding occurs

    • Dissociation rate constant (koff): Indicates binding stability

  • Contextual interpretation:

    • Compare to benchmark antibodies in the same class (e.g., anti-CD28 agonist antibody has a KD of 2.7 nM)

    • Consider that therapeutic antibodies typically have KD values in the nanomolar to picomolar range

    • Evaluate whether fast or slow binding kinetics are optimal for the intended application

  • Methodological considerations:

    • Surface Plasmon Resonance (SPR) provides real-time kinetics

    • Bio-Layer Interferometry offers an alternative approach

    • ELISA-based methods provide estimation of relative affinities

    • Cell-based binding assays reflect more physiological conditions

  • Application relevance:

    • For neutralizing antibodies: Higher affinity typically correlates with neutralization potency

    • For therapeutic applications: Balance affinity with tissue penetration (extremely high affinity can limit tissue distribution)

    • For detection applications: Consider whether kinetics match the timescale of your assay

What factors should be considered when comparing experimental results from ATL28 antibody with published literature?

When comparing experimental findings with published data, researchers should consider several critical factors:

  • Antibody characteristics:

    • Clone/catalog differences: Even antibodies targeting the same epitope may differ in affinity and specificity

    • Format variations: Native IgG versus recombinant, full antibody versus fragments

    • Species and isotype differences: May affect Fc-mediated functions and non-specific binding

  • Experimental system variables:

    • Cell line variations: Cell lines can drift genetically over passages

    • Culture conditions: Media composition, serum percentage, cell density

    • HTLV-1 viral strain differences between studies

    • Expression levels: Antigen expression varies between cell lines and can be modulated by culture conditions

  • Methodological differences:

    • Detection method sensitivity and dynamic range

    • Sample preparation protocols (fixation, permeabilization)

    • Quantification approaches and normalization methods

    • Incubation times and temperatures

  • Interpretation framework:

    • Statistical analysis methods may differ between studies

    • Definition of "positive" staining (percentage threshold, intensity criteria)

    • Baseline assumptions and reference standards

  • Reporting considerations:

    • Published data may be selectively reported (publication bias)

    • Limited methodological details in publications may obscure important differences

    • Consider contacting authors for clarification on specific protocols

How does ATL28 antibody performance compare with other antibodies targeting ATL-associated antigens?

When evaluating the relative performance of ATL28 compared to other antibodies in this research area, consider the following comparative aspects:

PropertyATL28 AntibodyOther ATL-Associated AntibodiesAnti-CD28 Antibodies
Target SpecificitySpecific information needs validationDetect antigens in 1-5% of ATL cell line cells Bind to CD28 receptor on T cells
Cell Line ReactivityNeeds validationPositive in MT-1 & MT-2; negative in other T-cell lines Reactive with T cells expressing CD28
Induction EffectUnknown5-fold increase with 5-iodo-2'-deoxyuridine Not applicable
Detection ApplicationsImmunofluorescence, flow cytometry (presumed)Immunofluorescence, immunoferritin EM Flow cytometry, functional assays
Functional EffectsUnknownDetection, not functionalT cell costimulation, promotes T cell response
Therapeutic PotentialRequires investigationLimitedHumanized versions reduce immunogenicity

This comparative table highlights the different properties and applications of antibodies in this field, though specific information about ATL28 would need experimental validation to complete accurately.

What are the key differences between research-grade and therapeutic-grade antibodies targeting T-cell receptors in ATL research?

Understanding the distinctions between research tools and therapeutic candidates is crucial for translational research:

Research-Grade Antibodies:

  • Production standards: Typically produced at laboratory scale with good but variable quality control

  • Purity requirements: Usually >95% purity, may contain minor contaminants

  • Formulation: Often contain stabilizers like glycerol, BSA, or sodium azide

  • Validation scope: Validated for specific research applications (Western blot, IHC, flow cytometry)

  • Species origin: Often mouse, rabbit, or other animal-derived

  • Immunogenicity: Not a primary concern for in vitro applications

  • Functional characterization: Limited to application-specific validation

  • Cost considerations: Relatively lower production costs

Therapeutic-Grade Antibodies:

  • Production standards: Manufactured under GMP conditions with rigorous quality control

  • Purity requirements: Extremely high purity (>99%), stringent testing for contaminants

  • Formulation: Physiologically compatible buffers, no toxic preservatives

  • Validation scope: Comprehensive characterization including cross-reactivity, stability, sterility

  • Species origin: Humanized or fully human to reduce immunogenicity

  • Immunogenicity: Extensively tested and engineered to minimize immune response

  • Functional characterization: Detailed mechanism of action studies, pharmacokinetics, pharmacodynamics

  • Cost considerations: Significantly higher production and validation costs

Application in ATL Research:

  • Therapeutic antibodies for ATL have shown variable clinical efficacy depending on disease form

  • Anti-CD25 (IL-2Rα) antibodies have demonstrated efficacy in chronic ATL but limited success in acute forms

  • Novel approaches targeting alternative receptors like the transferrin receptor have shown promise in inducing apoptosis in both acute and chronic ATL cells ex vivo

  • Humanized antibodies improve half-life and reduce immunogenicity for in vivo applications

What emerging technologies might enhance the utility of ATL28 antibody in single-cell analysis of heterogeneous T-cell populations?

The integration of ATL28 or similar antibodies with cutting-edge single-cell technologies offers promising opportunities for understanding T-cell heterogeneity in HTLV-1 infection and ATL:

  • Single-cell multiomics integration:

    • Combining antibody-based detection with transcriptomics (CITE-seq)

    • Integrating with single-cell epigenomic profiling (e.g., scATAC-seq)

    • Correlating protein expression with metabolomic signatures at single-cell resolution

  • Advanced imaging technologies:

    • Super-resolution microscopy to visualize nanoscale organization of receptors and viral proteins

    • Multiplexed ion beam imaging (MIBI) or Imaging Mass Cytometry for highly multiplexed protein detection

    • Live-cell imaging with labeled antibody fragments to track receptor dynamics

  • Microfluidic approaches:

    • Droplet-based single-cell isolation and analysis

    • Microfluidic platforms for monitoring individual cell responses to stimuli

    • Single-cell secretion profiling in nanowells with antibody detection

  • Computational enhancements:

    • Machine learning algorithms for identifying rare cell populations

    • Trajectory inference to map cellular states during transformation

    • Network analysis to identify key signaling nodes in infected cells

  • Functional correlates:

    • Linking antibody binding to single-cell functional readouts

    • Correlating receptor expression with T-cell activation at single-cell level

    • Monitoring cytokine production patterns in individual antibody-positive cells

How might the ATL28 antibody contribute to understanding the relationship between HTLV-1 infection and immune evasion mechanisms?

The ATL28 antibody could provide valuable insights into HTLV-1 immune evasion strategies through several research approaches:

  • Viral antigen presentation dynamics:

    • Track changes in antigen expression during latent versus productive infection phases

    • Investigate how viral antigens are presented to the immune system

    • Examine the relationship between antibody recognition and T-cell epitope exposure

  • Host receptor modulation:

    • If related to CD28 pathways, investigate how HTLV-1 infection alters costimulatory receptor expression and function

    • Study potential viral interference with T-cell activation pathways

    • Examine changes in receptor recycling and degradation in infected cells

  • Viral persistence mechanisms:

    • Explore the connection between antigen expression patterns and establishment of viral reservoirs

    • Investigate clonal expansion of infected cells with different antigen expression profiles

    • Study the relationship between antibody-detectable antigens and viral latency

  • Therapeutic escape:

    • Characterize antigen expression in treatment-resistant versus responsive cases

    • Identify potential epitope variations that might affect antibody recognition

    • Investigate receptor downregulation as a mechanism of escape from antibody-based therapies

  • Cross-talk with host immune checkpoints:

    • Examine relationships between viral antigen expression and immune checkpoint molecules

    • Study potential viral manipulation of T-cell exhaustion pathways

    • Investigate how costimulatory pathways like CD28 are altered during chronic infection

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