IAN10 Antibody

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Description

Potential Nomenclature Confusion

The term "IAN10" may represent a typographical error or nomenclature misunderstanding. Two plausible candidates emerge from the search results:

A. IL-10 Antibodies
Interleukin-10 (IL-10) is a well-characterized anti-inflammatory cytokine, and multiple anti-IL-10 antibodies are documented in the sources:

  • Monoclonal anti-IL-10 antibody [4A7-25-17] (ab134742):
    Targets IL-10 to block its interaction with the IL-10 receptor, inhibiting downstream JAK1/STAT3 signaling .

    • Application: Used in studies of autoimmune diseases and inflammation .

    • Clinical trials: Anti-IL-10 antibodies (e.g., B-N10) improved symptoms in systemic lupus erythematosus (SLE) patients by restoring Th1 immune activity .

B. Researcher-Associated Terminology
Dr. Ian Wilkinson, a noted antibody engineer, has contributed to Fc-engineered therapeutics . While no "IAN10" antibody is linked to his work, his innovations in Fc modulation (e.g., Fcγ receptor elimination) are relevant to therapeutic antibody optimization .

Key Data on Anti-IL-10 Antibodies

The following table summarizes anti-IL-10 antibodies and their applications based on the search results:

Antibody NameTargetIsotypeKey FindingsSource
B-N10 (murine mAb)IL-10IgGReduced SLE activity index (8.83 → 1.33) and steroid dependence in clinical trials .
Anti-IL-10 MAB (murine)IL-10IgGRestored Th1 function post-burn injury by neutralizing IL-10-mediated suppression .
4A7-25-17 (ab134742)IL-10Mouse IgGBlocks IL-10 binding to IL10RA/IL10RB, validated in WB, IP, and neutralization .

Research Gaps and Recommendations

  • Terminology clarification: Confirm whether "IAN10" refers to a novel antibody, a typo for "IL-10," or an institutional/internal designation.

  • Exploratory steps:

    1. Screen antibody registries (e.g., Antibody Society, CiteAb) for "IAN10."

    2. Validate target specificity and epitope binding through structural assays (e.g., X-ray crystallography ).

    3. Assess cross-reactivity with IL-10 orthologs if applicable .

Product Specs

Buffer
Preservative: 0.03% Proclin 300; Constituents: 50% Glycerol, 0.01M Phosphate-Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
IAN10 antibody; PP2A3 antibody; At2g26820 antibody; F12C20.14 antibody; Immune-associated nucleotide-binding protein 10 antibody; AtIAN10 antibody; AIG1-like protein antibody; Putative protein PHLOEM PROTEIN 2-LIKE A3 antibody; AtPP2-A3 antibody
Target Names
IAN10
Uniprot No.

Q&A

What is IAN10 and how does it relate to other IAN family members?

IAN10 belongs to the immune-associated nucleotide-binding (IAN) protein family, also known as GIMAP (GTPase of immunity-associated protein) family. These proteins are GTP-binding proteins primarily expressed in vertebrate immune cells and in plant cells during antibacterial responses . The mouse genome encodes eight functional IAN genes within a tight cluster, with most being predominantly expressed in lymphocytes . While IAN1, IAN4, and IAN5 have been more extensively characterized, IAN10 represents another member of this protein family involved in immune regulation.

The IAN protein family members share structural similarities as GTP-binding proteins and appear to have distinct but related functions in immune cell development and survival. Research on IAN family proteins reveals their critical roles in T cell development, with different members influencing distinct developmental stages .

How do researchers differentiate between IAN10 and other similar proteins when selecting antibodies?

When selecting antibodies against IAN10 or other IAN family members, researchers must consider several factors to ensure specificity:

  • Sequence homology analysis: Conducting alignment studies between IAN10 and other family members (particularly IAN1, IAN4, and IAN5) to identify unique epitopes

  • Cross-reactivity testing: Validating antibody specificity against recombinant proteins of multiple IAN family members

  • Knockout controls: Using genetic knockout models or CRISPR-edited cell lines lacking IAN10 as negative controls

  • Epitope mapping: Confirming the antibody targets regions unique to IAN10 rather than conserved domains shared across the IAN family

This differentiation is particularly important given the evidence that different IAN proteins have distinct roles in T cell development, with some promoting survival (like IAN4 and IAN5) while others may induce apoptosis under certain conditions (like IAN1) .

What is the current evidence regarding IAN10's biological function?

While specific information about IAN10's function is limited in the current literature, research on the IAN family provides context for potential roles. IAN family proteins are critically involved in T lymphocyte development and survival . Based on studies of related family members:

  • IAN proteins appear to regulate T cell development at different stages, with expression patterns changing during thymic selection

  • Several IAN family members interact with Bcl-2 family proteins, suggesting roles in apoptosis regulation

  • Different IAN proteins may have opposing functions, with some promoting survival while others induce apoptosis

What are the optimal experimental conditions for using IAN10 antibodies in immunoblotting?

For successful immunoblotting with IAN10 antibodies, researchers should consider the following methodological approach:

  • Sample preparation:

    • Use freshly isolated lymphocytes or immune tissues when possible

    • Include protease inhibitors during lysis to prevent degradation

    • Consider phosphatase inhibitors if investigating potential phosphorylation states

  • Gel electrophoresis conditions:

    • 10-12% polyacrylamide gels typically provide optimal resolution for IAN family proteins

    • Include positive controls (tissue known to express IAN10) and negative controls

  • Transfer and detection optimization:

    • PVDF membranes may provide better results than nitrocellulose for IAN family proteins

    • Blocking with 5% non-fat dry milk in TBST (Tris-buffered saline with 0.1% Tween-20) for 1 hour at room temperature

    • Primary antibody incubation at 4°C overnight with gentle agitation

  • Signal validation:

    • Compare results with known expression patterns of other IAN family members

    • Consider using multiple antibody clones targeting different epitopes of IAN10

These recommendations are based on general principles for detecting GTP-binding proteins and protocols optimized for other IAN family members, which have been successfully used in studies examining IAN1, IAN4, and IAN5 .

How can researchers effectively use IAN10 antibodies in flow cytometry for immune cell analysis?

For flow cytometry applications utilizing IAN10 antibodies, researchers should implement the following protocol:

  • Cell preparation:

    • Isolate cells from relevant tissues (thymus, spleen, lymph nodes)

    • Maintain cells at 4°C throughout processing to preserve antigen integrity

    • For intracellular staining, use a fixation/permeabilization buffer optimized for nuclear antigens

  • Staining protocol:

    • Surface marker staining: Perform standard staining for lineage markers (CD3, CD4, CD8, etc.)

    • Fixation: Use 2-4% paraformaldehyde for 15-20 minutes at room temperature

    • Permeabilization: Use 0.1% Triton X-100 or specialized permeabilization buffer

    • Blocking: Include 2-5% serum from the same species as the secondary antibody

    • IAN10 antibody staining: Optimize concentration through titration experiments (typically 1-10 μg/ml)

  • Controls and validation:

    • Include fluorescence minus one (FMO) controls

    • Use isotype controls matched to the IAN10 antibody

    • Consider using cells with known differential expression of IAN proteins as biological controls

  • Analysis considerations:

    • Analyze expression in specific T cell developmental stages (double-negative, double-positive, single-positive)

    • Compare with known expression patterns of other IAN family members

This approach integrates known methodologies for studying IAN family proteins in lymphocyte development and should be optimized for specific experimental contexts .

What strategies can researchers employ to validate IAN10 antibody specificity?

A comprehensive validation strategy for IAN10 antibodies should include:

Validation MethodExperimental ApproachExpected Outcome
Western blotCompare detection in wildtype vs. IAN10-deficient cellsSingle band at predicted molecular weight only in wildtype samples
ImmunoprecipitationPull down IAN10 and confirm by mass spectrometryIdentification of IAN10 peptides with high confidence
Peptide competitionPre-incubate antibody with immunizing peptideSignal elimination or significant reduction
Recombinant protein analysisTest against purified IAN10 and other IAN family membersStrong signal with IAN10, minimal cross-reactivity
ImmunofluorescenceCompare staining patterns in cells with confirmed IAN10 expression vs. controlsExpected subcellular localization pattern
RNA interferenceCompare detection in control vs. IAN10 knockdown cellsReduced signal corresponding to knockdown efficiency

This multi-modal approach provides robust validation of antibody specificity, which is particularly important for studying IAN family proteins that share structural similarities .

How can IAN10 antibodies be utilized to investigate potential interactions with Bcl-2 family proteins?

Building on evidence that IAN family proteins interact with Bcl-2 family members , researchers can investigate potential IAN10 interactions through:

  • Co-immunoprecipitation studies:

    • Use IAN10 antibodies to immunoprecipitate protein complexes from lymphocyte lysates

    • Probe for co-precipitated Bcl-2 family proteins (Bcl-2, Bcl-xL, Bax)

    • Include appropriate controls (IgG control, lysates from cells not expressing IAN10)

  • Proximity ligation assays:

    • Utilize IAN10 antibodies alongside antibodies against Bcl-2 family proteins

    • Visualize potential interactions within intact cells

    • Quantify interaction signals across different cell types and developmental stages

  • FRET or BRET analysis:

    • Generate fluorescent protein-tagged constructs of IAN10 and Bcl-2 family members

    • Measure energy transfer as indicator of protein-protein proximity

    • Compare interaction patterns with those established for other IAN family members

This approach builds on findings that IAN4 and IAN5 associate with anti-apoptotic proteins Bcl-2 and Bcl-xL, while IAN1 associates with pro-apoptotic Bax , providing a framework for investigating IAN10's potential interactions and functional implications in apoptosis regulation.

What are the technical considerations for using IAN10 antibodies in chromatin immunoprecipitation (ChIP) experiments?

For researchers investigating potential transcriptional regulatory roles of IAN10 through ChIP experiments:

  • Crosslinking optimization:

    • Standard formaldehyde crosslinking (1% for 10 minutes at room temperature)

    • Consider dual crosslinking with DSG (disuccinimidyl glutarate) followed by formaldehyde for protein-protein interactions

  • Chromatin preparation:

    • Sonication conditions: 10-15 cycles of 30 seconds on/30 seconds off at medium power

    • Target fragment size: 200-500 bp

    • Verify fragmentation by agarose gel electrophoresis before proceeding

  • Immunoprecipitation protocol:

    • Pre-clear chromatin with protein A/G beads and non-specific IgG

    • Use 2-5 μg of validated IAN10 antibody per IP reaction

    • Include IgG control and input samples

    • Consider including a positive control IP using antibodies against known transcription factors

  • Data analysis considerations:

    • Focus analysis on genes involved in T cell development and apoptosis regulation

    • Compare binding patterns with expression changes in IAN10-deficient cells

    • Integrate findings with known roles of other IAN family members in T cell development

These technical considerations align with general ChIP protocols while incorporating specific considerations for nuclear/GTP-binding proteins like the IAN family members.

How can researchers interpret contradictory results between different anti-IAN10 antibody clones?

When faced with discrepancies between different anti-IAN10 antibody clones, researchers should implement this systematic troubleshooting approach:

  • Epitope mapping analysis:

    • Determine which protein regions are targeted by each antibody clone

    • Consider whether epitopes might be masked by protein-protein interactions

    • Evaluate whether post-translational modifications could affect epitope accessibility

  • Validation comparison:

    • Review validation data for each antibody clone

    • Assess specificity through western blots, knockout controls, and peptide competition

    • Evaluate performance in different applications (WB, IP, IHC, flow cytometry)

  • Experimental resolution strategies:

    • Use multiple antibody clones in parallel experiments

    • Implement complementary techniques (e.g., mRNA analysis, tagged protein expression)

    • Consider potential biological explanations (splice variants, protein processing)

  • Reconciliation framework:

    ObservationPotential ExplanationResolution Approach
    Different molecular weightsAlternative splicing or post-translational modificationsMass spectrometry analysis
    Different subcellular localizationEpitope masking or condition-dependent localizationMultiple detection methods
    Variable expression patternsClone-specific sensitivity or off-target bindingValidation with genetic approaches
    Different co-immunoprecipitation resultsEpitope interference with protein interactionsAlternative IP approaches

This structured approach helps researchers navigate antibody discrepancies while maintaining scientific rigor in studying IAN family proteins .

How does IAN10 expression potentially change during T cell development compared to other IAN family members?

Based on studies of other IAN family members, researchers investigating IAN10 should consider the following developmental expression patterns:

  • Developmental stages:

    • Studies show that IAN1, IAN4, and IAN5 expression significantly increases upon thymic selection of T lymphocytes

    • Expression patterns differ between double-negative (DN), double-positive (DP), and single-positive (SP) thymocytes

    • Expression levels change in response to TCR-mediated positive selection signals

  • Comparative expression analysis:

    T Cell Developmental StageIAN1 ExpressionIAN4 ExpressionIAN5 ExpressionHypothesized IAN10 Pattern
    Double Negative (DN)LowLowModerateTo be determined
    Double Positive (DP)Low, increases upon selectionLow, increases upon selectionModerateTo be determined
    Single Positive (SP)HighHighHighTo be determined
    Mature peripheral T cellsHighHighHighTo be determined
  • Functional implications:

    • IAN4 appears to support positive selection, while IAN5 affects the generation of DP thymocytes

    • IAN1 overexpression can induce apoptosis in immature thymocytes

    • The differential expression and function suggest coordinated regulation of T cell development by multiple IAN family members

By examining IAN10 expression patterns in relation to established patterns of other family members, researchers can begin to elucidate its potential role in T cell development and selection processes.

What experimental approaches can best determine IAN10's functional role in T cell development?

To investigate IAN10's role in T cell development, researchers should consider these experimental approaches:

  • Gain-of-function studies:

    • Retroviral overexpression of IAN10 in developing thymocytes

    • Analysis of developmental progression and survival at different maturation stages

    • Comparison with known effects of other IAN family members (e.g., IAN1 overexpression induces apoptosis)

  • Loss-of-function studies:

    • shRNA-mediated knockdown or CRISPR-Cas9 deletion of IAN10

    • Analysis of T cell development in thymic organ cultures or in vivo models

    • Assessment of specific developmental checkpoints affected by IAN10 deficiency

  • Molecular interaction studies:

    • Investigation of potential interactions with Bcl-2 family proteins

    • Analysis of TCR signaling pathways in the presence/absence of IAN10

    • Comparative analysis with known interactions of other IAN family members

  • In vivo models:

    • Generation of IAN10-deficient or conditional knockout mice

    • Thymic transplantation experiments

    • Competitive bone marrow chimeras to assess cell-intrinsic effects

These approaches mirror successful strategies used to characterize IAN1, IAN4, and IAN5 functions, where researchers demonstrated their differential roles in thymocyte development and survival through gain- and loss-of-function experiments .

How might IAN10 interact with apoptotic pathways based on known functions of other IAN family proteins?

Based on established interactions between IAN family members and apoptotic machinery, potential IAN10 interactions include:

  • Bcl-2 family protein interactions:

    • IAN4 and IAN5 associate with anti-apoptotic proteins Bcl-2 and Bcl-xL, while IAN1 associates with pro-apoptotic Bax

    • IAN10 may similarly interact with one or more Bcl-2 family proteins, potentially influencing the balance between pro-survival and pro-apoptotic signals

  • Functional consequences of protein interactions:

    • The overexpression of Bcl-xL rescues reduced T cell survival caused by IAN5 deficiency

    • Similar rescue experiments could determine whether IAN10 functions through comparable mechanisms

  • Subcellular localization relevance:

    • IAN family proteins may localize to mitochondria, endoplasmic reticulum, or other subcellular compartments

    • Co-localization with apoptotic machinery may indicate functional interactions

    • Subcellular fractionation and imaging studies can reveal IAN10's distribution relative to apoptotic regulators

  • Apoptotic pathway integration model:

    IAN ProteinKnown Bcl-2 Family InteractionsFunctional EffectHypothesized IAN10 Role
    IAN1Bax (pro-apoptotic)Promotes apoptosis when overexpressedTo be determined
    IAN4Bcl-2, Bcl-xL (anti-apoptotic)Supports positive selectionTo be determined
    IAN5Bcl-2, Bcl-xL (anti-apoptotic)Promotes DP thymocyte generation and mature T cell survivalTo be determined

This framework provides a foundation for investigating IAN10's potential role in apoptotic regulation based on established patterns within the IAN family .

What are the key technical challenges in studying IAN10 compared to other IAN family members?

Researchers face several technical challenges when investigating IAN10:

  • Antibody specificity issues:

    • Sequence similarity between IAN family members creates potential for cross-reactivity

    • Limited commercial antibody options specifically validated for IAN10

    • Need for rigorous validation using genetic knockout controls

  • Expression level considerations:

    • Potentially low endogenous expression compared to more abundant family members

    • Cell type-specific or activation-dependent expression patterns

    • Requirement for sensitive detection methods

  • Functional redundancy complications:

    • Overlapping functions with other IAN family members may mask phenotypes

    • Need for combinatorial knockdown/knockout approaches

    • Challenges in distinguishing direct vs. indirect effects

  • Protein biochemistry challenges:

    • GTP-binding proteins can be difficult to purify in native conformation

    • Potential for rapid turnover or tight regulation

    • Interactions may be transient or condition-dependent

Addressing these challenges requires integrated approaches combining genetic, biochemical, and cellular techniques, similar to those used in characterizing other IAN family members .

How might single-cell technologies advance our understanding of IAN10's role in immune cell development?

Single-cell technologies offer powerful approaches to elucidate IAN10 function:

  • Single-cell RNA sequencing applications:

    • Mapping IAN10 expression across immune cell development trajectories

    • Identifying co-expression patterns with other IAN family members and potential interaction partners

    • Discovering rare cell populations with distinct IAN10 expression profiles

  • Single-cell protein analysis:

    • Mass cytometry (CyTOF) incorporation of IAN10 antibodies into immune profiling panels

    • Correlation of IAN10 protein levels with developmental markers and apoptosis indicators

    • Quantification of heterogeneity in expression at single-cell resolution

  • Spatial transcriptomics integration:

    • Mapping IAN10 expression within thymic microenvironments

    • Correlating expression with anatomical locations of T cell development

    • Identifying potential niche-dependent regulation

  • Computational analysis approaches:

    • Trajectory inference to place IAN10 function in developmental continuum

    • Network analysis to identify potential regulatory relationships

    • Integration with existing data on other IAN family members

These technologies can overcome limitations of bulk analysis methods, revealing cell-specific functions that may be masked in population-level studies of T cell development and IAN family function .

What unresolved questions about the broader IAN family could inform our understanding of IAN10?

Key unresolved questions about the IAN family that could illuminate IAN10 function include:

  • Evolutionary and structural considerations:

    • How conserved is the IAN family across species, and what does this reveal about fundamental functions?

    • What structural features determine the differential interactions with Bcl-2 family proteins?

    • Are there common regulatory mechanisms controlling expression of all IAN family members?

  • Signaling pathway integration:

    • How do TCR signals regulate different IAN family members during thymic selection?

    • Do IAN proteins function as signaling nodes or effector molecules?

    • What are the GTPase activities of IAN proteins and how do they relate to function?

  • Disease relevance:

    • Beyond the known role of IAN5 mutation in BB rat diabetes/lymphopenia , what human diseases might involve IAN dysfunction?

    • Could IAN proteins serve as therapeutic targets in immune dysregulation?

    • Are there genetic polymorphisms affecting IAN function in immune disorders?

  • Functional coordination:

    • How do multiple IAN proteins with seemingly opposing functions (pro-apoptotic vs. anti-apoptotic) work together?

    • Is there a temporal sequence of IAN protein expression/activation during T cell development?

    • Do different IAN proteins compete for interaction partners?

Addressing these broader questions will provide context for understanding IAN10's specific role within this functionally diverse protein family .

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