ERL1 Antibody

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Product Specs

Buffer
Preservative: 0.03% ProClin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
14-16 weeks (made-to-order)
Synonyms
ERL1 antibody; At5g62230 antibody; MMI9.14LRR receptor-like serine/threonine-protein kinase ERL1 antibody; EC 2.7.11.1 antibody; Protein ERECTA-like kinase 1 antibody
Target Names
ERL1
Uniprot No.

Target Background

Function

The ERECTA-family receptor-like kinase, ERL1, plays a crucial role in regulating plant development. Specifically, it influences inflorescence architecture, organ shape, and stomatal patterning, including stomatal density and clustering. ERL1 functions in concert with other ERECTA family members (ER and ERL2) and is involved in procambial development. Importantly, ERL1 forms a functional ligand-receptor pair with EPF1 (Accession Q8S8I4) and constitutes a complex with TMM, facilitating the recognition of stomatal regulatory peptides EPF1, EPF2, and EPFL9/STOMAGEN.

Gene References Into Functions

Further Research: The ERECTA family of leucine-rich repeat receptor-like kinases (ER, ERL1, ERL2) collectively govern stomatal patterning. Individual members within this family exhibit specific roles in regulating stomatal stem cell fate and guard cell differentiation. (See reference below for details on ERL1's specific contribution).

PMID: 16002616

Database Links

KEGG: ath:AT5G62230

STRING: 3702.AT5G62230.1

UniGene: At.29062

Protein Families
Protein kinase superfamily, Ser/Thr protein kinase family
Subcellular Location
Cell membrane; Single-pass type I membrane protein.
Tissue Specificity
Mostly expressed in developing organs, including bud clusters, flowers, siliques and young rosettes. Also detected in mature aboveground organs, such as leaves, stems and pedicels, but barely in roots.

Q&A

What is ERL1 and why is it an important target for antibody development?

ERL1 is a major receptor restricting plant stomatal differentiation that undergoes dynamic subcellular behaviors in response to different EPIDERMAL PATTERNING FACTOR (EPF) peptides . It plays dual functions in regulating guard cell differentiation both autocrinally and by enforcing stomatal spacing of neighboring cells paracrinally . Antibodies targeting ERL1 are essential tools for studying receptor localization, trafficking dynamics, and signaling mechanisms in plant development research.

What experimental applications are ERL1 antibodies suitable for?

Based on research methodologies used with similar receptor antibodies, ERL1 antibodies are applicable for:

  • Immunofluorescence microscopy for subcellular localization studies

  • Western blotting for protein expression analysis

  • Immunoprecipitation for protein-protein interaction studies

  • Co-localization studies with organelle markers

  • Tracking receptor dynamics in response to different ligands

When selecting antibodies for these applications, researchers should consider specificity, detection sensitivity, and validated applications in similar experimental contexts.

How do researchers distinguish ERL1 from other ERECTA family receptors in antibody-based studies?

This is a critical consideration as ERL1 shares sequence homology with other ERECTA family members. Effective approaches include:

  • Using antibodies targeting unique epitopes in the ERL1 sequence not shared with ERECTA or ERL2

  • Validating specificity using erl1 knockout plants as negative controls

  • Performing peptide competition assays to confirm antibody specificity

  • Cross-validation with fluorescently tagged ERL1 protein expression patterns

How can ERL1 antibodies help elucidate receptor trafficking in response to different signaling peptides?

Research shows that ERL1 undergoes differential endocytic trafficking depending on the activating peptide . When designing experiments to study this:

  • Use dual-labeling approaches with antibodies targeting different ERL1 epitopes

  • Combine with markers for endocytic compartments (early endosomes, MVB/LE, vacuoles)

  • Design time-course experiments to capture transitional states

  • Consider treatment with endocytosis inhibitors like Tyrphostin A23 (Tyr A23) as controls

The table below summarizes ERL1 trafficking responses to different peptides:

Signaling PeptideEffect on ERL1 TraffickingRequired Co-receptorReference
EPF1Rapid internalization to MVB/LETMM required
EPFL6Internalization to MVB/LETMM independent
StomagenRetention in endoplasmic reticulumNot specified

What methodological approaches can resolve contradictory results in ERL1 localization studies?

Contradictory localization data often stems from methodological differences. Consider:

  • Fixation artifacts: Compare results from formaldehyde fixation (as used in standard protocols ) with cryo-fixation methods

  • Epitope masking: Test multiple antibodies targeting different regions of ERL1

  • Trafficking dynamics: Conduct pulse-chase experiments to distinguish steady-state from dynamic populations

  • Signaling state differences: Standardize pre-experimental conditions to control ERL1 activation state

  • Cell-type variation: Account for differential expression and function of ERL1 in different cell types

How can researchers determine if observed ERL1 endocytosis is ligand-induced versus constitutive?

This critical distinction requires careful experimental design:

  • Control experiments with inactive ligand analogs

  • Quantitative comparison with baseline internalization rates

  • Use of Brefeldin A (BFA) to trap constitutively internalized receptors in BFA bodies

  • Analysis of co-receptor requirements (e.g., TMM dependence for EPF1-induced but not constitutive internalization)

  • Pharmacological inhibition with endocytosis blockers such as Endosidin 9-17

What is the optimal immunofluorescence protocol for detecting ERL1 in plant tissues?

Based on established protocols for receptor proteins in plant tissues , an optimized protocol would include:

  • Fixation: 4% pH neutral buffered formaldehyde for 15 minutes

  • Permeabilization: 0.2% Triton X-100/1% BSA/PBS solution for 20 minutes at room temperature

  • Blocking: 1% BSA in PBS for 30-60 minutes

  • Primary antibody incubation: One hour in a humidified environment at room temperature

  • Secondary antibody: Fluorophore-conjugated antibodies (e.g., ATTO-555 or ATTO-633) at 1:200 dilution

  • Counterstaining: DAPI for nuclear visualization

  • Mounting: Anti-fade mounting medium to preserve fluorescence

For co-localization studies, combining mouse and rabbit monoclonal antibodies allows simultaneous detection of multiple targets .

How should researchers optimize western blotting conditions for ERL1 detection?

For successful western blotting:

  • Sample preparation: Use buffer containing phosphatase inhibitors to preserve phosphorylation states

  • Protein extraction: Optimize membrane protein extraction methods as ERL1 is a transmembrane receptor

  • Gel concentration: 8-10% SDS-PAGE gels are typically suitable for receptor proteins

  • Transfer conditions: Semi-dry or wet transfer optimized for membrane proteins

  • Blocking: 5% non-fat milk or BSA depending on the antibody specifications

  • Antibody dilution: Optimize through titration experiments (typical range 1:500-1:2000)

  • Detection system: Consider enhanced chemiluminescence or fluorescent secondary antibodies

What critical controls should be included when studying ERL1 endocytosis and trafficking?

Based on endocytosis research methodologies , essential controls include:

  • Genetic controls: erl1 knockout mutants and TMM mutants to assess co-receptor requirements

  • Trafficking markers: Endocytic tracer dye FM4-64 to visualize membrane trafficking pathways

  • Pharmacological treatments:

    • Concanamycin A to inhibit vacuolar degradation

    • BFA to visualize endocytic trafficking

    • Tyrphostin A23 to block clathrin-mediated endocytosis

  • Organelle co-localization with established markers:

    • N-ST-YFP for trans-Golgi

    • GFP-SYP43 for TGN/EE

    • ARA6-GFP for MVB/LE

What factors might contribute to inconsistent ERL1 staining patterns across experiments?

Variability in staining patterns can result from:

  • Technical factors:

    • Inconsistent fixation duration or formaldehyde concentration

    • Variable permeabilization efficiency across tissue types

    • Antibody batch variation

    • Inconsistent washing steps

  • Biological factors:

    • ERL1 conformational changes upon ligand binding

    • Developmental stage differences affecting ERL1 expression

    • Rapid receptor turnover rates in response to stimuli

    • Epitope masking due to protein-protein interactions

How can researchers address non-specific background when using ERL1 antibodies?

High background is a common challenge. Effective solutions include:

  • Increase blocking stringency by using combination blockers (BSA + normal serum)

  • Optimize antibody concentration through careful titration experiments

  • Extend washing duration and increase detergent concentration in wash buffers

  • Pre-absorb secondary antibodies with plant tissue extract

  • Include peptide competition controls to distinguish specific from non-specific signals

  • For plant tissues, include treatments to reduce autofluorescence (e.g., 0.1% Sudan Black B)

What approaches can resolve discrepancies between antibody-based detection and fluorescent protein fusion localization studies?

When reconciling differences between antibody staining and fluorescent protein data:

  • Consider epitope accessibility: Antibodies may not access all ERL1 populations

  • Assess fixation effects: Compare live-cell imaging with fixed-cell immunofluorescence

  • Evaluate overexpression artifacts: Compare native ERL1 levels with transgenic expression

  • Analyze tag interference: Fluorescent protein tags may alter trafficking dynamics

  • Implement proximity ligation assays (PLA) as an alternative approach to validate interactions

What quantitative methods are most appropriate for analyzing ERL1 subcellular distribution?

For rigorous quantification of ERL1 localization:

  • Fluorescence intensity ratio: Measure plasma membrane-to-intracellular signal ratio

  • Co-localization analysis: Calculate Pearson's or Manders' coefficients with compartment markers

  • Object-based analysis: Count distinct ERL1-positive vesicles and measure their size distribution

  • Kinetic analysis: Track intensity changes over time following ligand application

  • Distribution profiling: Generate intensity line profiles across cells or tissues

The experimental approach should be tailored to the specific research question:

Research QuestionRecommended Quantification MethodKey Parameters
Endocytosis rateTime-dependent PM/intracellular ratioMeasurement intervals, temperature control
Trafficking routesMarker co-localization coefficientsSelection of appropriate markers
Degradation kineticsVacuolar accumulation with ConA treatment Treatment duration, concentration
Response to ligandsComparative subcellular distributionLigand concentration, timing

How can researchers effectively distinguish between different conformational states of ERL1 using antibodies?

Detecting conformational changes requires specialized approaches:

  • Use conformation-sensitive antibodies that recognize specific activation states

  • Compare accessibility of different epitopes in activated versus inactive receptors

  • Implement Förster resonance energy transfer (FRET) between different antibody-conjugated fluorophores

  • Correlate with functional readouts of receptor activation (e.g., downstream signaling)

  • Combine with proximity ligation assays to detect changes in protein-protein interactions

What statistical approaches should be used when analyzing complex ERL1 trafficking datasets?

For robust statistical analysis of trafficking data:

  • For comparing treatments: ANOVA with appropriate post-hoc tests

  • For time course experiments: Repeated measures ANOVA or mixed-effects modeling

  • For co-localization analysis: Fisher's z-transformation of correlation coefficients before comparison

  • For heterogeneous cell populations: Consider hierarchical clustering to identify response patterns

  • For complex datasets: Consider principal component analysis to identify key variables driving differences

When reporting results, include both representative images and quantitative data with appropriate statistical tests to demonstrate significance of observed differences.

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