The ATL60 Antibody (Product Code: CSB-PA314871XA01DOA) is a custom-made monoclonal antibody designed to target the ATL60 protein in Arabidopsis thaliana (Mouse-ear cress). It is cataloged under UniProt ID P0C035, though detailed structural or functional data about the target protein remains limited in publicly available literature .
While direct studies on ATL60 are sparse, its validation for WB and IHC suggests utility in:
Protein Localization: Mapping ATL60 expression in plant tissues .
Functional Studies: Investigating roles in stress responses or developmental pathways, inferred from homologous ATL proteins .
General antibody applications, such as those described for immunodiagnostics or protein-DNA interaction studies , provide a framework for its potential use in plant research.
Arabidopsis thaliana is a model organism for plant genetics. ATL-family proteins, including ATL60, are hypothesized to participate in:
Membrane Trafficking: Based on structural similarities to ubiquitin ligases.
Stress Signaling: Analogous to other plant immune-related proteins .
Further studies are required to elucidate ATL60’s specific biological role.
While explicit validation data for ATL60 is unavailable, suppliers like Cusabio and Atlas Antibodies emphasize application-specific validation (e.g., batch consistency, specificity in WB/IHC) . Researchers are advised to validate the antibody in their experimental systems.
The table below contrasts ATL60 with other ATL-family antibodies from the same supplier :
Antibody | Target Protein | UniProt ID | Applications |
---|---|---|---|
ATL60 | P0C035 | WB, IHC | Arabidopsis |
ATL55 | Q9LX93 | WB, IHC | Arabidopsis |
ATL53 | P0C041 | WB, IHC | Arabidopsis |
Current gaps include:
Functional Data: No peer-reviewed studies directly investigating ATL60.
Structural Insights: Lack of crystallographic or interaction data for the target protein.
Future research could leverage techniques like ChIP-exo sequencing or CRISPR-based knockout models to define ATL60’s role in plant biology.
ATL60 Antibody refers to antibodies that recognize the 60kDa component of adult T-cell leukemia virus-associated antigens (ATLA). These antibodies target specific viral proteins associated with Human T-cell Leukemia Virus Type 1 (HTLV-1), which is the causative agent of Adult T-cell Leukemia (ATL). The 60kDa target is analogous in some ways to the Ro60 antigen structure, though in a different disease context. HTLV-associated antigens are primarily expressed in infected T-cells, particularly those with OKT4-positive mature T-cell (inducer/helper T-cell) phenotype . Detection of anti-ATLA antibodies in patient serum serves as an important diagnostic marker for HTLV-1 infection and potential progression to ATL.
ATL antibodies demonstrate unique specificity compared to other diagnostic antibodies. Research has shown that anti-ATLA antibodies were found in 29.3% of patients with T-cell malignancy, with a particularly high prevalence (45.1%) among patients with OKT4-positive mature T-cell malignancies . In contrast, these antibodies were absent in B-cell malignancies and rare in other lymphoid malignancies without blood transfusions . This specificity makes them valuable for differentiating between T-cell and B-cell malignancies. Additionally, within T-cell malignancies, they serve to distinguish between different phenotypic subtypes, being predominantly associated with helper T-cell phenotypes rather than suppressor/cytotoxic T-cell phenotypes, providing a level of diagnostic precision unavailable with general lymphoma markers.
The detection of ATL-associated antibodies carries substantial clinical significance. Among OKT4-positive mature T-cell malignancies, anti-ATLA antibodies were found in 84.2% of patients with ATL but showed varying prevalence in other conditions: 27.8% in mature T-cell lymphoma, 0% in typical T-chronic lymphocytic leukemia, and only isolated cases in mycosis fungoides and Sézary's syndrome . This pattern suggests that anti-ATLA positive T-cell malignancies with OKT4-positive mature T-cell phenotype likely represent a distinct disease entity with shared etiology and cellular origin . The presence of these antibodies therefore guides differential diagnosis, treatment planning, and potentially indicates prognosis based on the specific subtype of T-cell malignancy.
Several methodological approaches have been validated for detecting ATL-associated antibodies in research contexts. Indirect immunoperoxidase and immunoferritin methods have proven effective using cell lines carrying HTLV or related viruses, such as the human MT-2 cell line and various monkey cell lines (Si-1, Si-2, Si-3) . These techniques enable both light microscopy visualization and electron microscopic confirmation of antibody binding to viral particles and plasma membranes. For comprehensive analysis, researchers often combine multiple techniques including Mass cytometry (CyTOF), RNA-sequencing, and immunofluorescence to characterize immune cell populations potentially expressing viral antigens . When designing an experimental protocol, researchers should consider sensitivity requirements and whether qualitative detection or quantitative measurement is the primary objective.
The production of fully human monoclonal antibodies against ATL-associated antigens involves a sophisticated in vitro immunization approach. Researchers have successfully developed techniques using human peripheral blood lymphocytes (PBLs) isolated from healthy volunteers . To overcome tolerance issues, antigen modification is essential—specifically, researchers modify the target antigens (similar to the approach used with IL-2 receptors CD25 and CD122) . The process involves:
Incubating isolated human PBLs with modified antigens to initiate a primary antibody response
Inducing class switching through a controlled mixture of cytokines and growth factors
Generating both IgM and IgG antibodies to the target antigens
Establishing human hybridomas to produce stable, continuous antibody production
Characterizing the generated antibodies for class, affinity, and functional capabilities such as antibody-dependent cell cytotoxicity (ADCC)
This methodology ensures the production of fully human antibodies that avoid the limitations of mouse-derived antibodies, particularly regarding ADCC effector function enhancement.
When designing cross-reactivity experiments for ATL antibodies, several key considerations must be addressed:
Selection of appropriate cell lines: Include both human and non-human (such as monkey) cell lines carrying the virus of interest. The comprehensive approach used in previous studies incorporated human cell lines (MT-2) carrying HTLV alongside monkey cell lines (Si-1, Si-2, Si-3) carrying either HTLV or related viruses .
Antibody source diversity: Test sera from multiple sources (e.g., human and monkey) at various dilutions to establish specificity patterns.
Visualization techniques: Employ both light microscopy (using immunoperoxidase) and electron microscopy (using immunoferritin or immunoperoxidase) to confirm binding at different structural levels .
Controls: Include anti-ATLA-negative sera as controls to verify specificity and rule out non-specific binding.
Target validation: Confirm that antibody binding occurs both to viral particles and plasma membranes of infected cells to establish comprehensive recognition patterns .
This multi-faceted approach helps establish the fundamental binding characteristics and potential cross-species applications of the antibodies.
For diagnostic applications, optimizing the balance between sensitivity and specificity requires careful antibody characterization. Traditional anti-CD25 antibodies (which target a receptor implicated in ATL) demonstrated high specificity but limited ADCC function . The implications for diagnostic applications include:
Higher affinity antibodies may detect viral antigen in early disease stages
Affinity must be balanced against cross-reactivity with related antigens
Validation studies should establish clear threshold values that maximize both sensitivity and specificity parameters
Consideration of sampling timeframe relative to disease progression, as antibody titers fluctuate throughout the course of infection
The remarkable specificity of ATL antibodies for OKT4-positive T-cells involves several molecular mechanisms:
Receptor-virus interaction: HTLV-1 preferentially infects CD4+ (OKT4-positive) T-cells through specific viral envelope interactions with cell surface receptors, explaining the predominant expression of viral antigens in this cell population.
Transcriptional regulation: The virus exhibits differential gene expression across T-cell subtypes, with enhanced viral protein production in helper/inducer phenotypes compared to suppressor/cytotoxic phenotypes.
Antigen processing differences: OKT4-positive cells may process and present viral antigens differently than OKT8-positive cells, affecting antibody recognition.
This specificity pattern has profound diagnostic implications—research has demonstrated that anti-ATLA antibodies were found in 45.1% of patients with OKT4-positive mature T-cell malignancy, but in none of the patients with T-cell malignancy of pre-T, thymic T-cell or OKT8-positive mature T-cell phenotypes . The molecular basis of this specificity provides insight into viral tropism and pathogenesis while enabling targeted diagnostic and therapeutic approaches.
Comparative analysis of ATL antibodies against other T-cell leukemia markers reveals distinct advantages:
ATL antibodies demonstrate exceptional specificity for T-cell versus B-cell malignancies, with studies showing 29.3% positivity in T-cell malignancies compared to complete absence in B-cell malignancies . Within T-cell malignancies, these antibodies provide further discrimination between subtypes, being predominantly associated with OKT4-positive mature T-cells.
In contrast to general T-cell markers:
CD3 and CD7 detect T-cells broadly but lack disease specificity
CD25 (IL-2 receptor alpha) has moderate specificity but may be expressed in various activated T-cell conditions beyond ATL
Flow cytometry immunophenotyping panels without viral antigen detection may miss the critical distinction between virus-associated and non-viral T-cell malignancies
For definitive diagnosis in atypical cases, researchers have determined that demonstrating monoclonal integration of proviral DNA of ATLV or HTLV into tumor cells is necessary . This requirement highlights a limitation of antibody-based methods alone and suggests an optimal diagnostic algorithm combining antibody detection with molecular techniques for maximum diagnostic accuracy.
Optimal sample preparation for ATL antibody detection requires careful consideration of pre-analytical factors that may affect results. Based on established protocols:
For serum or plasma specimens:
Collection: Obtain blood in serum gel tubes (preferred) or red-top tubes
Processing: Centrifuge promptly after collection to separate serum/plasma
Storage: Aliquot into plastic vials to avoid repeated freeze-thaw cycles
Volume requirements: Minimum of 0.4-0.5 mL for standard assays
Methodology selection should be based on research objectives:
For qualitative screening: Indirect immunoperoxidase methods offer efficient processing
For detailed structural analysis: Electron microscopy with immunoferritin labeling provides subcellular localization data
For highest sensitivity: Chemiluminescent immunoassays similar to those used for Ro60 detection offer quantitative results
Each methodology has specific sample requirements that must be addressed during experimental design to ensure reliable results.
Comprehensive validation of ATL antibody detection assays requires multiple control categories:
Positive controls:
Sera from confirmed ATL patients with known antibody titers
Calibrated reference standards with established antibody concentrations
Samples from different disease stages to assess detection across the clinical spectrum
Negative controls:
Analytical controls:
Precision assessment: Replicate testing of the same sample
Dilution linearity: Serial dilutions to confirm proportional results
Cross-reactivity panel: Testing against potentially interfering antibodies
Cell line controls:
Virus-positive cell lines (e.g., MT-2, Si-1, Si-3)
Virus-negative control cell lines with similar phenotypic characteristics
The validation protocol should establish performance characteristics including analytical sensitivity, analytical specificity, reportable range, clinical sensitivity, clinical specificity, and precision in accordance with laboratory regulatory standards.
When confronting discrepancies between different ATL antibody detection methods, researchers should implement a systematic troubleshooting approach:
Sample-related factors:
Verify sample integrity and storage conditions
Confirm sample type compatibility with each method
Assess potential interfering substances in specific specimens
Methodological considerations:
Compare detection limits of different techniques (immunoperoxidase vs. immunoferritin vs. ELISA)
Assess antibody epitope accessibility in different assay formats
Consider fixation/processing effects on antigen conformation
Antigen complexity factors:
Evaluate whether assays target different epitopes on the same antigen
Assess potential cross-reactivity with related viral proteins
Consider viral sequence variations affecting antibody recognition
Resolution strategies:
Discrepancy resolution often requires combining serological and molecular approaches, particularly in cases where antibody results alone provide insufficient diagnostic clarity.
Current therapeutic development utilizing ATL antibodies focuses on several promising strategies:
Fully human monoclonal antibodies: Researchers have developed in vitro technologies to create fully human mAbs against targets that mediate ATL progression, particularly IL-2 receptors (CD25 and CD122) . These fully human antibodies offer significant advantages over mouse mAbs:
Enhanced antibody-dependent cell cytotoxicity (ADCC)
Reduced immunogenicity in human patients
Improved functional inhibition of target receptors
Dual-targeting approaches: Evidence suggests that targeting both CD25 and CD122 may provide superior therapeutic efficacy since IL-15 may regulate ATL through the shared CD122 co-receptor . This approach addresses potential escape mechanisms and provides more comprehensive pathway inhibition.
Engineered antibody enhancements: Beyond simple target binding, contemporary research focuses on engineering antibodies with optimized effector functions, particularly ADCC, which plays a crucial role in eliminating malignant cells .
These approaches represent significant advancements over earlier therapeutic antibodies, which had limitations in human applications and restricted effector functions.
ATL antibodies offer unique capabilities for monitoring treatment response and disease recurrence:
Serological markers: Quantitative monitoring of anti-ATLA antibody titers provides a non-invasive method to assess viral burden and immune response. Declining titers may indicate effective treatment, while stable or rising levels despite therapy could suggest treatment failure.
Minimal residual disease detection: Highly sensitive antibody-based assays could detect persistent viral antigens in patients who achieve clinical remission but harbor residual disease, potentially identifying patients at high risk for relapse.
Immune reconstitution monitoring: Post-treatment antibody profiles might indicate degrees of immune recovery and potentially predict long-term outcomes.
Multidimensional assessment: Advanced monitoring protocols could combine antibody detection with methods like Mass cytometry (CyTOF) and RNA-sequencing to comprehensively characterize the immune landscape during and after treatment .
Early relapse indicators: Changes in antibody patterns might precede clinical evidence of relapse, allowing earlier intervention.
For optimal clinical utility, monitoring protocols should establish patient-specific baseline values and track longitudinal changes rather than relying solely on population-based reference ranges.
Several cutting-edge technologies hold promise for expanding ATL antibody applications:
Single-cell analysis platforms: Technologies like Mass cytometry (CyTOF) combined with antibody-based detection systems enable unprecedented characterization of heterogeneous cell populations, potentially revealing previously unrecognized ATL subtypes and resistance mechanisms .
Spatial transcriptomics with antibody validation: Combining gene expression analysis with antibody-based protein detection at the single-cell level creates multidimensional datasets that could identify novel therapeutic targets and resistance pathways.
Antibody engineering platforms: New technologies for rapid antibody optimization could generate ATL-specific antibodies with enhanced affinity, specificity, and effector functions tailored to individual patient tumor characteristics.
Liquid biopsy integration: Combining circulating tumor DNA detection with antibody-based assays could create comprehensive, minimally invasive monitoring systems for ATL patients.
Artificial intelligence analysis: Machine learning algorithms applied to complex antibody binding patterns across multiple antigens might identify subtle prognostic signatures invisible to conventional analysis.
These technologies move beyond simple detection toward integrated systems that combine multiple parameters for more nuanced understanding of disease biology and patient-specific therapeutic guidance.