At1g27860 Antibody

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Description

Potential Nomenclature Misinterpretation

The designation "At1g27860" follows standard plant gene nomenclature (e.g., "At" = Arabidopsis thaliana, "1g" = chromosome 1, "27860" = locus ID). No antibodies targeting this plant-specific protein have been documented. The query may conflate "At1g27860" with AT1R (Angiotensin II Type 1 Receptor) antibodies, a well-studied class in mammalian systems.

AT1R Antibodies: Key Research and Applications

AT1R antibodies target the angiotensin II type 1 receptor, a G protein-coupled receptor (GPCR) involved in blood pressure regulation and implicated in diseases like hypertension and COVID-19 . Below is a synthesis of critical findings:

2.1. Validated AT1R Antibodies

Antibody NameHost SpeciesIsotypeApplications (Validated)Specificity ConcernsSource
MA1100 (TH-16)MouseIgGWB, IHC (human, rat, rabbit)Cross-reactivity with brain tissues Boster Bio
sc-1173RabbitIgGWB, IHC (predominantly murine)Non-specific bands in KO models Santa Cruz
AAR-011RabbitIgGWB, ICCFalse positives in hypothalamus Alomone Labs

2.2. Key Functional Insights

  • COVID-19 Severity: Elevated AT1R autoantibodies correlate with unfavorable outcomes (ICU admission/mortality) in COVID-19 patients (OR = 2.1, p < 0.05) .

  • GPCR Modulation: Nanobodies against AT1R exhibit tunable antagonism and synergize with small-molecule drugs .

  • Validation Challenges: 6/6 commercial AT1R antibodies showed non-specific binding in knock-out models, questioning their reliability .

Research Gaps and Recommendations

  1. Antibody Specificity: Use radioligand binding assays as a gold standard for AT1R studies .

  2. Clinical Relevance: AT1R antibodies may exacerbate pulmonary inflammation in viral infections via crosstalk with endothelin receptors .

  3. Therapeutic Potential: Engineered nanobodies enable cell-type-specific GPCR modulation, reducing systemic side effects .

Frequently Asked Questions

Q: Why are no antibodies listed for At1g27860?

  • At1g27860 is a plant gene with no known orthologs in mammals. Antibody development requires confirmed protein expression and functional relevance, which are absent here.

Q: How to address AT1R antibody non-specificity?

  • Combine orthogonal methods (e.g., CRISPR knock-out controls, mass spectrometry) to confirm target engagement .

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
At1g27860 antibody; F28L5.13 antibody; UPF0725 protein At1g27860 antibody
Target Names
At1g27860
Uniprot No.

Q&A

What is AT1G27860 and why would researchers develop antibodies against it?

AT1G27860 is classified as a hypothetical protein containing a Domain of Unknown Function (DUF626) from Arabidopsis thaliana's chromosome 1 . Developing antibodies against this protein allows researchers to confirm its expression, investigate subcellular localization, study protein-protein interactions, and monitor protein levels under different experimental conditions. For proteins like AT1G27860 with unknown functions, antibodies serve as critical tools for functional characterization by allowing researchers to track the protein in vivo and in vitro. Antibody-based approaches complement genetic and transcriptomic studies, providing crucial protein-level data that may differ from gene expression patterns due to post-transcriptional regulation mechanisms.

What approaches are most effective for generating antibodies against hypothetical plant proteins like AT1G27860?

For generating antibodies against hypothetical plant proteins like AT1G27860, researchers should consider multiple strategies based on the protein's characteristics. The most common approaches include recombinant protein expression, synthetic peptide design, and DNA immunization. Each method offers distinct advantages for plant protein research:

ApproachAdvantagesLimitationsBest suited for
Recombinant proteinHigh specificity, recognizes native conformationDifficult if protein is insolubleProteins with known domains
Synthetic peptidesEasier production, targeted epitopesMay not recognize native proteinProteins with strong predicted epitopes
DNA immunizationCan produce antibodies against native conformationLower yieldsProteins difficult to express in vitro

For hypothetical proteins like AT1G27860, researchers typically begin with bioinformatic analysis to identify antigenic regions within the DUF626 domain before proceeding with antibody production. This initial analysis can identify hydrophilic, surface-exposed regions that make ideal targets for antibody generation.

As a hypothetical protein with the DUF626 domain, AT1G27860's structural features must be carefully considered when developing antibodies . Key considerations include:

  • Secondary structure predictions revealing:

    • Alpha-helical regions (often good antigenic targets)

    • Beta-sheet regions (may have limited accessibility)

    • Disordered regions (excellent for linear epitopes)

  • Post-translational modifications that might affect antibody recognition:

    • Potential glycosylation sites

    • Phosphorylation sites

    • Other modifications common in plant proteins

  • Subcellular localization predictions to understand accessibility:

    • Transmembrane domains (require special consideration)

    • Signal peptides

    • Localization signals

For AT1G27860, bioinformatic analysis suggests it contains regions suitable for antibody production, particularly those predicted to be surface-exposed in the native protein. Researchers should analyze these features using bioinformatic tools before antibody production to select optimal antigenic regions and appropriate experimental approaches.

How can I use AT1G27860 antibodies to investigate protein-protein interactions in planta?

Investigating protein-protein interactions using AT1G27860 antibodies involves several sophisticated approaches that provide complementary evidence about interaction partners and complexes:

  • Co-immunoprecipitation (Co-IP):

    • Extract protocol optimization for plant tissues

    • Antibody coupling to beads (direct vs. indirect methods)

    • Gentle washing conditions to preserve interactions

    • Mass spectrometry analysis of co-precipitated proteins

  • Proximity labeling combined with immunoprecipitation:

    • Express AT1G27860 fused to BioID or APEX2

    • Use antibodies to verify expression and localization

    • Identify biotinylated proteins in proximity

A typical workflow would include:

StepProtocol DetailsCritical ParametersTroubleshooting
Tissue preparationFlash-freeze tissue, grind in liquid N₂Sample freshnessIncomplete tissue disruption leads to poor yield
ExtractionBuffer with 50mM Tris-HCl pH 7.5, 150mM NaCl, 10% glycerol, 1% NP-40, protease inhibitorsBuffer compositionAdjust detergent based on protein localization
Pre-clearingIncubate lysate with protein A/G beadsIncubation timeHigh background can indicate insufficient pre-clearing
ImmunoprecipitationIncubate with AT1G27860 antibodyAntibody amountNo precipitation may require crosslinking
AnalysisSDS-PAGE, Western blot, or mass spectrometrySample preparationWeak signal may require more sensitive detection

For AT1G27860, which contains a domain of unknown function, identifying interaction partners is particularly valuable as it can provide crucial insights into biological function through guilt-by-association approaches.

What experimental approaches can reveal the function of AT1G27860 using specific antibodies?

Uncovering the function of hypothetical proteins like AT1G27860 requires multifaceted approaches using antibodies:

  • Developmental and stress-response profiling:

    • Track protein expression across developmental stages

    • Monitor protein levels under various stresses (drought, salt, pathogens)

    • Compare with transcriptomic data to identify discrepancies between RNA and protein levels

  • Subcellular localization studies:

    • Immunogold electron microscopy for precise localization

    • Immunofluorescence microscopy with organelle markers

    • Cell fractionation followed by Western blotting

  • Chromatin immunoprecipitation (ChIP) if bioinformatic analysis suggests DNA-binding properties:

    • Optimize crosslinking conditions for plant tissues

    • Use AT1G27860 antibodies to pull down protein-DNA complexes

    • Sequence associated DNA (ChIP-seq) to identify binding sites

A systematic experimental design would include:

ApproachExperimental SetupControlsExpected Outcomes
Expression profilingSample tissues at developmental stagesLoading controlsTemporal/spatial expression pattern
Stress responseExpose plants to 5 stress conditionsUnstressed controlsStress-specific regulation patterns
LocalizationImmunogold EM with gold particlesPreimmune serumOrganelle-specific localization
ChIP-seqCrosslink tissue, sonicate, IP with antibodyInput DNA, IgG controlDNA binding motifs, target genes

Integrating these approaches provides complementary lines of evidence to establish AT1G27860 function in Arabidopsis, moving beyond its current status as a hypothetical protein with unknown function .

How do I troubleshoot cross-reactivity issues with AT1G27860 antibodies in closely related plant species?

Cross-reactivity is a significant challenge when using antibodies across plant species due to protein conservation. For AT1G27860 antibodies:

  • Bioinformatic analysis prerequisites:

    • Align AT1G27860 sequence with homologs from target species

    • Identify conserved and divergent epitopes

    • Predict cross-reactivity based on epitope conservation

  • Experimental validation approach:

    • Western blot using recombinant proteins from multiple species

    • Dot blot analysis with peptide arrays covering variant regions

    • Preabsorption with recombinant proteins from related species

  • Optimization strategies:

    • Epitope-specific antibody purification

    • Competitive blocking with recombinant proteins

    • Dual-antibody approaches targeting different epitopes

Cross-reactivity assessment framework:

SpeciesSequence Identity to AT1G27860Predicted Cross-reactivityWestern Blot Results
A. lyrata(e.g., 95%)High
A. halleri(e.g., 92%)High
Brassica napus(e.g., 80%)Moderate
Solanum lycopersicum(e.g., 40%)Low

For high-precision experiments, researchers should consider developing species-specific antibodies when cross-reactivity issues cannot be resolved through optimization. This is particularly important when translating findings from model systems like Arabidopsis to crop species.

How can I use phospho-specific antibodies to study post-translational modifications of AT1G27860?

Studying post-translational modifications (PTMs) of hypothetical proteins provides critical functional insights. For AT1G27860:

  • Identification of potential modification sites:

    • Bioinformatic prediction of phosphorylation sites

    • Preliminary mass spectrometry to identify actual modification sites

    • Conservation analysis of modification sites across species

  • Development of phospho-specific antibodies:

    • Design phosphopeptides corresponding to modified sites

    • Use double-purification strategy (positive selection on phosphopeptide, negative selection on non-phosphopeptide)

    • Validate specificity using phosphatase-treated samples

  • Application in signaling studies:

    • Monitor phosphorylation dynamics during developmental transitions

    • Track modifications in response to environmental stimuli

    • Investigate kinase/phosphatase relationships

Recommended experimental design:

Putative PTM SitePeptide Design for AntibodyValidation MethodApplication
Ser45 (example)KLH-Cys-RTVS(p)GLKMLambda phosphatase treatmentSalt stress response
Thr102 (example)KLH-Cys-PEVT(p)DRRVMutant protein (T102A)Cell cycle regulation
Tyr205 (example)KLH-Cys-MEDY(p)VGPLKinase assay with inhibitorsPathogen response

The temporal and spatial dynamics of AT1G27860 phosphorylation can provide crucial clues about its activation mechanisms and regulatory networks, which is particularly valuable for proteins with domains of unknown function like DUF626 .

What approaches can resolve contradictory results between antibody-based detection and transcript analysis of AT1G27860?

Discrepancies between protein detection and transcript levels are common and scientifically interesting. When studying AT1G27860:

  • Systematic validation of both measurements:

    • Antibody validation using knockout/overexpression lines

    • Multiple primer pairs for transcript quantification

    • Independent methods for both protein and RNA quantification

  • Investigation of post-transcriptional regulation:

    • miRNA-mediated regulation

    • Alternative splicing analysis

    • RNA stability assessments

  • Protein turnover analysis:

    • Cycloheximide chase experiments with antibody detection

    • Pulse-chase labeling

    • Proteasome inhibition studies

Recommended experimental framework:

ObservationPotential ExplanationConfirmatory ExperimentExpected Outcome
High transcript, low proteinTranslational repressionPolysome profilingAT1G27860 mRNA in non-translated fractions
High transcript, low proteinRapid protein turnoverProteasome inhibitor treatmentIncreased protein detection
Low transcript, high proteinProtein stabilityCycloheximide chaseSlow decay of protein signal
Low transcript, high proteinAlternate tissue expressionTissue-specific extractionDifferent protein/RNA ratios across tissues

Understanding these discrepancies often leads to discovery of novel regulatory mechanisms governing protein expression, which could be particularly relevant for hypothetical proteins like AT1G27860 whose regulation and function remain uncharacterized.

What is the optimal protein extraction protocol for detecting AT1G27860 in plant tissues?

Extracting plant proteins presents unique challenges due to cell walls, proteases, and secondary metabolites. For AT1G27860:

  • Buffer optimization considerations:

    • Detergent selection based on protein localization

    • pH optimization for stability

    • Protease inhibitor cocktail customized for plant tissues

    • Reducing agents to maintain epitope accessibility

  • Tissue-specific modifications:

    • Root tissues: Additional washing steps to remove soil contaminants

    • Leaf tissues: Approaches to deal with high phenolic compounds

    • Seed tissues: More aggressive grinding and extraction methods

Recommended extraction protocols:

Tissue TypeGrinding MethodBuffer CompositionCritical StepsExpected Yield
LeafLiquid N₂, mortar and pestle50mM HEPES pH 7.5, 150mM NaCl, 1% Triton X-100, 10% glycerol, 1mM EDTA, 1mM PMSF, plant protease inhibitor cocktailRemove phenolics with PVPP2-5 mg/g tissue
RootLiquid N₂, bead beater100mM Tris-HCl pH 8.0, 150mM NaCl, 5mM EDTA, 10% glycerol, 0.5% NP-40, 1% plant protease inhibitor cocktail, 5mM DTTMultiple wash steps before extraction1-3 mg/g tissue
Silique/SeedLiquid N₂, bead beater with steel beads100mM Tris-HCl pH 8.5, 500mM NaCl, 2% SDS, 5mM DTT, 1mM EDTA, 2% plant protease inhibitor cocktailExtended extraction time (30 min)0.5-2 mg/g tissue

The extraction protocol should be optimized based on preliminary experiments determining AT1G27860's abundance and localization. For hypothetical proteins, it's advisable to try multiple extraction methods in parallel to determine which yields the best results.

What are the best immunohistochemistry protocols for localizing AT1G27860 in plant tissues?

Immunohistochemistry in plant tissues requires special considerations for cell wall penetration and autofluorescence. For AT1G27860:

  • Tissue fixation and embedding options:

    • Paraformaldehyde fixation: Preserves protein epitopes

    • Cryosection approach: Preserves native proteins, minimal epitope modification

    • Paraffin embedding: Better tissue morphology, requires antigen retrieval

  • Antigen retrieval methods:

    • Citrate buffer heating: For paraformaldehyde-fixed samples

    • Enzymatic treatment: Controlled cell wall digestion

    • Combination approaches: Sequential enzymatic and heat treatment

Optimized protocol framework:

StepProtocol DetailCritical ParametersTroubleshooting
Fixation4% paraformaldehyde, 1-2 hrsTemperature, pH, timeOverfixation masks epitopes
EmbeddingLow-temperature paraffinDehydration gradientsRapid dehydration causes tissue distortion
Sectioning5-10 μm thicknessSection adhesion to slideUse charged slides for better adhesion
Antigen retrieval10mM citrate buffer pH 6.0, 95°C, 10 minTemperature, timeOptimize time to prevent tissue damage
Blocking5% BSA, 0.3% Triton X-100, 1hrBSA quality, blocking timeInsufficient blocking causes high background
Primary antibodyAnti-AT1G27860, 1:100-1:500, overnight at 4°CAntibody concentrationTitrate antibody to optimize signal:noise
Secondary antibodyAnti-rabbit-AlexaFluor488, 1:500, 1hr RTWorking in darknessMultiple brief washes better than few long washes

For plant-specific concerns, include controls for autofluorescence and non-specific binding to cell walls and vascular tissues. These are particularly important when studying hypothetical proteins like AT1G27860 where localization patterns are not yet established.

How can I quantify AT1G27860 protein levels accurately across different experimental conditions?

Accurate protein quantification is essential for comparative studies. For AT1G27860:

  • Western blot quantification approaches:

    • Standardized loading controls (constitutive proteins like actin)

    • Recombinant protein standards for absolute quantification

    • Digital image analysis with dynamic range considerations

  • ELISA development options:

    • Sandwich ELISA using two different AT1G27860 antibodies

    • Competitive ELISA for higher sensitivity

    • Calibration curve using recombinant protein

  • Mass spectrometry-based quantification:

    • Selected reaction monitoring (SRM) with isotope-labeled standards

    • Data-independent acquisition (DIA) approaches

    • Label-free quantification with appropriate normalization

Quantification method comparison:

MethodSensitivityDynamic RangeEquipment NeedsBest For
Western blot0.1-1 ng10-20 foldBasic lab equipmentRelative changes, molecular weight confirmation
ELISA1-10 pg1000 foldPlate readerHigh-throughput, absolute quantification
SRM-MS10-100 pg1000-10000 foldTriple quadrupole MSMultiple proteins, absolute quantification

For experimental design, consider normalization strategy (total protein normalization, housekeeping proteins), statistical approach (minimum of 3-4 biological replicates), and validation measures (technical replicates, independent quantification methods). These approaches ensure reliable quantification of hypothetical proteins like AT1G27860 across different experimental conditions.

What are the considerations for developing monoclonal versus polyclonal antibodies against AT1G27860?

The choice between monoclonal and polyclonal antibodies has significant implications for research outcomes, particularly for hypothetical proteins like AT1G27860 :

  • Comparative analysis of antibody types:

CharacteristicPolyclonal AntibodiesMonoclonal Antibodies
Epitope coverageMultiple epitopesSingle epitope
Batch-to-batch variationModerate to highLow
Production time2-3 months4-6 months
CostLowerHigher
SensitivityOften higher (multiple epitopes)May require signal amplification
SpecificityVariable, may have cross-reactivityHigh for the specific epitope
Applications versatilityOften works across applicationsMay be application-specific
  • Decision framework for AT1G27860:

    • Choose polyclonal for initial characterization and applications flexibility

    • Choose monoclonal for highly specific detection and reproducibility

    • Consider combining both: polyclonal for IP, monoclonal for detection

  • Production considerations:

    • Epitope selection based on bioinformatic analysis

    • Host species selection to minimize background in target applications

    • Purification strategy to enhance specificity

For AT1G27860 as a hypothetical protein, the recommended approach would often be initial characterization with polyclonal antibodies followed by monoclonal development once key epitopes are identified and the protein's function begins to be elucidated.

How can AT1G27860 antibodies be used to investigate abiotic stress responses in Arabidopsis?

Plant responses to abiotic stresses involve complex protein regulation networks. AT1G27860 antibodies can provide insights through:

  • Stress-specific expression profiling:

    • Time-course analysis of protein levels under different stresses

    • Dose-response relationships for stressors like salt, drought, heat

    • Recovery dynamics after stress alleviation

  • Post-translational modification monitoring:

    • Phosphorylation state under stress conditions

    • Subcellular relocalization during stress

    • Protein stability changes in response to stress

Experimental design template:

Stress TypeTreatment ConditionsSampling TimepointsKey Analyses
DroughtWithhold water for 5, 10, 15 daysPre-treatment, 5d, 10d, 15d, 2d after re-wateringProtein levels, phosphorylation state
Salt50, 100, 150 mM NaCl0, 1h, 6h, 24h, 7dProtein levels, interacting partners
Heat37°C treatment0, 15min, 30min, 1h, 3h, recoveryPhosphorylation, complex formation

Integrating these analyses with physiological measurements and genetic approaches (knockout/overexpression lines) can establish whether the hypothetical protein AT1G27860 plays a role in stress response pathways. This is particularly relevant as many proteins containing domains of unknown function are involved in stress adaptation mechanisms in plants.

What approaches can detect interaction between AT1G27860 and other proteins in signaling pathways?

Protein interaction studies are essential for placing hypothetical proteins in functional networks:

  • In vivo interaction approaches:

    • Co-immunoprecipitation using AT1G27860 antibodies

    • Proximity labeling (BioID, APEX) followed by AT1G27860 antibody validation

    • Fluorescence resonance energy transfer (FRET) with fluorescently-tagged antibodies

  • In vitro interaction validation:

    • Pull-down assays with recombinant proteins

    • Surface plasmon resonance (SPR) for interaction kinetics

    • Protein arrays probed with AT1G27860 or its antibodies

Experimental workflow for interaction discovery:

TechniqueInitial SetupControlsData Analysis Approach
Co-IP + MSAT1G27860 antibody IP followed by MSIgG control, knockout plantEnrichment ratio vs. control
Y2H screeningAT1G27860 as baitEmpty vector, autoactivation testValidation of hits with co-IP using antibodies
BiFCAT1G27860 fusions with split fluorescent proteinNegative controls with unrelated proteinsConfirmation of expression using antibodies

For hypothetical proteins like AT1G27860, combining complementary approaches provides higher confidence in identified interactions and helps establish biological relevance. These interaction studies often provide the first clues about function for proteins containing domains of unknown function like DUF626 .

How can I use AT1G27860 antibodies in chromatin immunoprecipitation (ChIP) experiments?

If bioinformatic analysis suggests AT1G27860 may interact with DNA or chromatin-associated proteins, ChIP experiments can be valuable:

  • ChIP protocol optimization for plant tissues:

    • Crosslinking conditions (formaldehyde concentration and time)

    • Sonication parameters for plant chromatin

    • Immunoprecipitation conditions for AT1G27860 antibodies

  • Controls and validation approaches:

    • Input DNA controls

    • IgG control immunoprecipitations

    • Knockout/knockdown plant lines

    • Peptide competition controls

ChIP experimental design framework:

StepProtocol DetailCritical ParametersQuality Control
Tissue preparationCrosslink with 1% formaldehyde, 10 minTissue amount, crosslinking timePilot with different crosslinking times
Chromatin isolationNuclei isolation, sonication to 200-500bpSonication conditionsAgarose gel to check fragment size
ImmunoprecipitationIncubate chromatin with AT1G27860 antibody overnightAntibody amount, washing stringencyInput sample preservation, IgG control
DNA purificationReverse crosslinking, proteinase K, DNA cleanupIncubation timesNanodrop/Qubit quantification

For AT1G27860 as a hypothetical protein, ChIP experiments would be particularly valuable if computational prediction suggests DNA-binding domains or chromatin-associated functions within the DUF626 domain. This approach could reveal whether this protein plays a role in transcriptional regulation despite its current status as a protein of unknown function.

How do experimental approaches differ when studying AT1G27860 in Arabidopsis versus crop species?

Translating research from model plants to crops presents specific challenges:

  • Cross-species application considerations:

    • Sequence conservation analysis before antibody application

    • Epitope-specific optimization for cross-reactivity

    • Validation requirements in each target species

  • Technical modifications for crop tissues:

    • Extraction protocol adjustments for crop-specific compounds

    • Tissue-specific protocol modifications (e.g., high starch content)

    • Developmental timing differences between models and crops

Cross-species research framework:

AspectArabidopsisCrop Plants (e.g., rice, wheat)Adaptation Strategy
Protein extractionStandard protocols effectiveHigher interfering compoundsAdditional purification steps
Antibody applicationDirect applicationValidation of cross-reactivityEpitope mapping, concentration optimization
Tissue samplingWhole seedlings often sufficientTissue-specific sampling requiredStandardized developmental staging
Sample sizeSmall samples, high replicationLarger samples, field variabilityStatistical design accounting for heterogeneity

For AT1G27860, researchers should first establish its function in Arabidopsis, then identify orthologs in target crop species before developing cross-species or species-specific antibodies for agricultural applications. This stepwise approach ensures that findings from the model plant can be effectively translated to crop improvement programs.

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