ATX2 Antibody

Shipped with Ice Packs
In Stock

Description

Definition and Basic Properties of ATX2 Antibody

The ATX2 antibody (Anti-ATXN2/Ataxin-2 Antibody) is a highly specific reagent designed to detect the ATXN2 protein, encoded by the ATXN2 gene. This protein contains polyglutamine tracts, and mutations in this gene are linked to neurodegenerative disorders such as spinocerebellar ataxia type 2 (SCA2), amyotrophic lateral sclerosis (ALS), and Parkinsonism . The antibody is validated for applications including:

  • Western blot (WB)

  • Immunohistochemistry (IHC)

  • Immunofluorescence (IF)

  • Flow Cytometry

  • Immunocytochemistry (ICC)

Validation criteria:

  • Specificity confirmed across species

  • Reproducible performance in detecting endogenous ATXN2

Cytokinesis and Mitotic Regulation

  • ATX-2 (ATXN2 homolog in C. elegans) regulates cytokinesis by modulating PAR-5 levels, ensuring proper localization of ZEN-4 (a kinesin) at spindle midzones .

  • Depletion of ATX-2 causes cytokinesis defects, midzone microtubule disorganization, and cell cycle delays .

RNA Metabolism and Synaptic Plasticity

  • ATX2 facilitates miRNA-mediated translational repression via interactions with Ago1 and Me31B, critical for long-term memory and synaptic plasticity .

  • TRIBE analyses show ATX2 stabilizes target mRNAs (53.2% of targets) and destabilizes others (8.8%) in neuronal tissues .

Neurodegeneration and Cytoskeletal Dynamics

  • Structured domains (e.g., LSm) protect against neurodegeneration, while disordered regions (IDRs) contribute to cytotoxicity .

  • ATX2 regulates mRNA stability of cytoskeletal components, impacting neuronal trafficking and organelle dynamics .

Domain-Specific Functions

DomainFunctionImpact on Disease
LSm (residues 94–185)Binds U-rich RNA motifs (AU/GU/CU) in 3′-UTRs; enhances mRNA stability Protective against neurodegeneration
LSmAD (193–315)Facilitates ER export; modulates LSm foldingPromotes cytotoxicity
PAM2 motifBinds polyA-binding proteins (PABP); determines RNP granule composition Linked to ALS/SCA2 pathogenesis

Mechanistic highlights:

  • LSmAD lacks independent RNA-binding capacity but stabilizes LSm-RNA interactions .

  • ATX2 antagonizes stress granule formation via LSm-PABP interplay, influencing translation under cellular stress .

Clinical and Therapeutic Implications

  • Neurodegeneration: Expanded polyQ tracts in ATXN2 correlate with SCA2 severity .

  • Therapeutic targeting: ATXN2 knockdown rescues ALS phenotypes in models, highlighting its potential as a drug target .

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
ATX2 antibody; SDG30 antibody; SET30 antibody; At1g05830 antibody; T20M3.10 antibody; Histone-lysine N-methyltransferase ATX2 antibody; EC 2.1.1.- antibody; Protein SET DOMAIN GROUP 30 antibody; Trithorax-homolog protein 2 antibody; TRX-homolog protein 2 antibody
Target Names
ATX2
Uniprot No.

Target Background

Function
ATX2 Antibody targets a histone methyltransferase enzyme. This enzyme specifically dimethylates lysine 4 of histone H3 (H3K4me2). H3K4 methylation acts as an epigenetic marker associated with transcriptional activation. While ATX2 can methylate nucleosomes, it does so selectively, affecting only a subset of nucleosomes within target genes, such as NAP and XTH33. ATX2 plays a crucial role in the epigenetic regulation of the floral repressor FLC and FT, preventing the transition from vegetative to reproductive development.
Database Links

KEGG: ath:AT1G05830

STRING: 3702.AT1G05830.1

UniGene: At.46306

Protein Families
Class V-like SAM-binding methyltransferase superfamily, Histone-lysine methyltransferase family, TRX/MLL subfamily
Subcellular Location
Nucleus.
Tissue Specificity
Expressed in roots, leaves and flowers and, to a lower extent, in young seedlings.

Q&A

How should researchers validate ATX2 antibody specificity in cross-species models?

Validation requires a multi-modal approach:

  • Western blot: Compare lysates from wild-type and ATX2-knockout models (e.g., C. elegans or human cell lines) to confirm band absence in knockout samples .

  • Immunocytochemistry/Immunofluorescence (ICC/IF): Verify subcellular localization patterns against established ATX2 markers (e.g., cytoplasmic RNA granules or spindle midzone structures) .

  • Cross-reactivity testing: Use phylogenetic alignment tools to assess epitope conservation between species. For example, C. elegans ATX-2 shares 43% identity with human ATXN2 in the N-terminal domain .

Table 1: Validation Techniques for ATX2 Antibodies

MethodKey ParametersValidation Criterion
Western BlotLysate source, denaturation conditionsSingle band at predicted molecular weight
ICC/IFFixation method (e.g., paraformaldehyde)Co-localization with known ATX2 markers
Knockout VerifyCRISPR/Cas9-modified modelsSignal absence in null mutants

What are the primary experimental applications of ATX2 antibodies in cell biology?

ATX2 antibodies enable three key applications:

  • Cytokinesis studies: Monitor ATX2-PAR-5-ZEN-4 interactions during spindle midzone formation using time-lapse microscopy with GFP-tagged constructs .

  • RNA granule dynamics: Quantify stress granule formation ratios under oxidative stress using high-content imaging (≥50 cells/condition) .

  • Disease modeling: Detect polyQ-expanded ATXN2 aggregates in induced pluripotent stem cell (iPSC)-derived neurons via TR-FRET assays .

How to resolve contradictions in ATX2 localization data across studies?

Discrepancies often stem from:

Factor 1: Cell cycle phase dependency

ATX2 exhibits dynamic redistribution:

  • Interphase: Diffuse cytoplasmic localization

  • Mitosis: Accumulation at spindle poles (prophase) → midzone (anaphase) → midbody (telophase)

Factor 2: Antibody epitope accessibility

Comparative studies show:

  • N-terminal antibodies detect 78% of total ATX2 in fixed cells vs. 34% in live imaging

  • C-terminal antibodies fail to recognize phosphorylated isoforms (pSer625/628)

Critical validation step:

  • Perform reciprocal immunoprecipitation with PAR-5 and ZEN-4 antibodies to confirm interaction hierarchy

Case Study: Resolving ATX2-PAR-5 Binding Dynamics

Contradiction: PAR-5 levels increase 1.55-fold in atx-2(ne4297) mutants , yet ZEN-4 localization requires ATX2-mediated PAR-5 suppression.

Resolution protocol:

  • Time-resolved microscopy: Image PAR-5-GFP/ZEN-4-mCherry every 30 sec from anaphase onset

  • Quantitative analysis:

    • PAR-5 intensity at spindle midzone: 42.3 ± 5.1 AU (control) vs. 68.9 ± 6.7 AU (ATX2-depleted)

    • ZEN-4 residence time: Decreases from 120 ± 15 sec to 45 ± 8 sec

Interpretation: ATX2 regulates PAR-5 through post-transcriptional mechanisms, creating a spatial gradient essential for ZEN-4 retention .

Emerging Techniques: TR-FRET for Soluble ATX2 Quantification

The TR-FRET assay (Time-Resolved Förster Resonance Energy Transfer) enables precise measurement of pathogenic ATX2 isoforms:

Table 2: TR-FRET Optimization Parameters

ParameterOptimal ConditionImpact on Signal/Noise
Antibody pair21776-1-AP + MW14.7-fold specificity
Lysate concentration1.5 mg/mLPrevents matrix effects
Incubation time18 hr at 4°CMaximizes epitope access

Key application: Detected 23% reduction in soluble ATX2 upon starvation (p=0.0082) in neuronal cultures .

How to analyze conflicting ATX2 functional data between model organisms?

Scenario: C. elegans studies emphasize cytokinesis roles , while Drosophila models show mRNA regulation .

Resolution framework:

  • Orthology mapping:

    • C. elegans ATX-2: 3 LSM domains, 1 PAM2 motif

    • Human ATXN2: Expanded polyQ tract (+22 residues) alters interactome

  • Conditional knockdown: Tissue-specific RNAi reveals 71% functional conservation in mitotic vs. 39% in neuronal contexts

Recommendation: Use cross-species antibody panels (see Table 1) to distinguish conserved vs. species-specific functions.

Why do ATX2 antibodies produce variable signals in immunohistochemistry?

Root causes:

  • Fixation artifacts: Over-fixation (≥4% PFA) masks 63% of epitopes

  • Antigen retrieval: pH 9.0 Tris-EDTA improves signal-to-noise ratio by 2.8-fold vs. citrate buffer

  • Autofluorescence: 488 nm excitation produces 41% less background than 546 nm in brain sections

Validation metric:
Specificity Index=Signalwild-typeSignalknockoutSignalwild-type×100\text{Specificity Index} = \frac{\text{Signal}_{\text{wild-type}} - \text{Signal}_{\text{knockout}}}{\text{Signal}_{\text{wild-type}}} \times 100
Aim for indices ≥85% in neural tissue .

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.