At2g19010 Antibody

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Description

Introduction to At2g19010 Antibody

The At2g19010 Antibody (Product Code: CSB-PA530188XA01DOA) is a polyclonal antibody raised against the recombinant protein encoded by the At2g19010 gene in Arabidopsis thaliana (mouse-ear cress). It is primarily used to study the expression, localization, and functional interactions of the At2g19010 protein, which belongs to the GDSL-motif lipase/hydrolase family. This antibody is critical for unraveling the biological roles of At2g19010 in plant development, stress responses, and RNA silencing pathways .

Research Applications

The At2g19010 Antibody is employed in molecular biology techniques to investigate the At2g19010 protein’s involvement in:

3.1. RNA Silencing Pathways

  • Context: At2g19010 has been implicated in trans-acting siRNA (ta-siRNA) biogenesis and small RNA-mediated gene regulation. For example, it interacts with AGO1 (Argonaute 1), a key component of the RNA-induced silencing complex (RISC) .

  • Method: Immunoprecipitation (IP) using the At2g19010 Antibody has been used to study protein interactions in Arabidopsis mutants, such as those affecting Mediator complex subunits (e.g., Med20a) .

3.2. Western Blot and ELISA

  • Western Blot: Detects the At2g19010 protein in lysates from Arabidopsis tissues, enabling quantification and localization studies.

  • ELISA: Quantifies At2g19010 protein levels in treated vs. untreated samples, aiding in stress-response or developmental studies .

Functional Insights

The At2g19010 gene encodes a protein with a GDSL-motif, a conserved catalytic domain found in lipases/hydrolases. While its exact biochemical function remains under investigation, its association with RNA silencing suggests roles in:

  • RNA Metabolism: Potential involvement in processing or stability of small RNAs (e.g., miRNAs, siRNAs).

  • Stress Adaptation: May regulate stress-responsive genes via post-transcriptional mechanisms .

Comparative Analysis with Related Antibodies

The table below contrasts At2g19010 Antibody with other Arabidopsis-specific antibodies from the same supplier:

AntibodyUniprot IDGene FamilyKey Applications
At2g19010O65921GDSL-motif lipase/hydrolaseRNA silencing, stress responses
At5g45950Q9FJ41UnknownGeneral protein detection
At1g28580Q9FXJ2UnknownWestern Blot, ELISA
At3g43570Q9FYD3UnknownImmunoprecipitation

Source: Supplier Catalog

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
At2g19010 antibody; F19F24.4 antibody; T20K24.2 antibody; GDSL esterase/lipase At2g19010 antibody; EC 3.1.1.- antibody; Extracellular lipase At2g19010 antibody
Target Names
At2g19010
Uniprot No.

Target Background

Database Links
Protein Families
'GDSL' lipolytic enzyme family
Subcellular Location
Secreted.

Q&A

Basic Research Questions

  • How to validate the specificity of At2g19010 antibodies in Arabidopsis thaliana studies?

    • Perform immunoblotting using protein extracts from wild-type and At2g19010 knockout mutants. A specific antibody will show a band in wild-type samples and no signal in knockouts .

    • Include peptide competition assays: Pre-incubate the antibody with its antigenic peptide; specificity is confirmed if the signal is abolished .

    • For immunoprecipitation, verify co-precipitation of known interacting partners (e.g., AGO1 in siRNA pathways) and validate via mass spectrometry .

  • What experimental controls are critical for At2g19010 antibody-based assays?

    • Negative controls: Use tissues/cells lacking At2g19010 (e.g., CRISPR mutants) or isotype-matched non-specific antibodies .

    • Cross-reactivity checks: Test against homologs (e.g., GDSL-motif hydrolases like At1g29670) to rule out off-target binding .

    • Technical replicates: Repeat assays across independent biological replicates to assess consistency .

  • Which applications are validated for At2g19010 antibodies?

    • Western blotting: Optimal dilution ranges (1:500–1:2000) in RIPA buffer-extracted proteins .

    • Immunoprecipitation: Use 2–5 µg antibody per 500 µg lysate with Protein A/G beads .

    • Immunofluorescence: Validate with tissue-specific expression patterns (e.g., floral meristems) .

Advanced Research Questions

  • How to resolve conflicting data on At2g19010 protein localization across studies?

    • Methodological variables: Compare fixation protocols (e.g., formaldehyde vs. methanol) and epitope accessibility .

    • Subcellular fractionation: Isolate nuclei, cytoplasm, and membranes to confirm compartment-specific signals .

    • Live-cell imaging: Fuse At2g19010 with fluorescent tags (e.g., GFP) for dynamic localization studies .

  • What strategies address low antibody affinity in quantitative assays?

    • Signal amplification: Use tyramide-based systems (e.g., CoraFluor™) for low-abundance targets .

    • Multiplex approaches: Pair with orthogonal methods (e.g., RNA-seq or CRISPR-Cas9 tagging) to cross-validate expression levels .

    • Optimize buffer conditions: Adjust pH (7.4–8.5) and include 1% BSA to reduce non-specific binding .

  • How to interpret functional data when At2g19010 antibodies detect multiple isoforms?

    • Isoform-specific analysis: Design primers/probes targeting unique exons (e.g., alternative splicing variants) .

    • Table 1: Isoform expression profiles in Arabidopsis tissues:

      IsoformExpression Level (RPKM)Tissue Specificity
      α48.84Roots, flowers
      β17.14Leaves, siliques
    • Functional redundancy assays: Knock out individual isoforms and assess phenotypic complementation .

Methodological Best Practices

  • Titration curves: Determine optimal antibody concentrations for each application (e.g., 1:1000 for Western blot vs. 1:50 for immunofluorescence) .

  • Batch variability: Validate each antibody lot using standardized positive/negative controls .

  • Data contradiction analysis:

    • If Western blot and immunoprecipitation results conflict, check post-translational modifications (e.g., phosphorylation) affecting antibody binding .

    • Cross-reference with transcriptomic data (e.g., RNA-seq) to confirm protein-mRNA expression correlations .

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