EAAC Antibody

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Description

Introduction to Antibodies

An antibody, also known as an immunoglobulin, is a protective protein produced by the immune system in response to a foreign substance, called an antigen . Antigens can include bacteria, viruses, fungi, allergens, and toxins . Antibodies recognize and latch onto antigens to remove them from the body .

How Antibodies Work

When a foreign substance enters the body, the immune system recognizes it because the molecules on the surface of the antigen differ from those found in the body . The immune system then produces antibodies, which are created by specialized white blood cells called B lymphocytes (or B cells) . When an antigen binds to the B-cell surface, it stimulates the B cell to divide and mature into a group of identical cells called a clone . The mature B cells, called plasma cells, secrete millions of antibodies into the bloodstream and lymphatic system .

As antibodies circulate, they attack and neutralize antigens identical to the one that triggered the immune response . Antibodies bind to antigens, and this binding can neutralize toxins or prevent microorganisms from penetrating body cells . Antibody production continues for several days until all antigen molecules are removed, and the antibodies remain in circulation for several months, providing extended immunity against that particular antigen .

Types of Antibodies

Monoclonal antibodies are proteins made in a lab that bind to one specific antigen . They are exact copies of one antibody and help stimulate the immune system to fight off germs . Polyclonal antibodies, on the other hand, come from several different types of immune cells and bind to more than one antigen . Recombinant antibodies may be superior to monoclonal and polyclonal antibodies, though there is large variation in how different manufacturers test their products .

Antibodies in Research and Medicine

Antibodies are used in various applications in medicine and research . For example, broadly neutralizing antibodies (bnAbs) can prevent the acquisition of HIV strains that are sensitive to the bnAb . Antibody-drug conjugates (ADCs) are innovative biopharmaceutical drugs that use an antibody to deliver and release a potent warhead to a specific target . ADCs are used in therapeutic areas such as cancer, arthritis, and HIV infection .

Vanderbilt researchers have also found a way to isolate and amplify a class of rare antibodies that can target a wide range of different viruses . This technique has been used to discover antibodies that recognize multiple variants of SARS-CoV-2 and target human parainfluenza virus 3 (HPIV3) .

Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
EAAC; At3g51870; ATEM1.12; Probable envelope ADP,ATP carrier protein, chloroplastic; Envelope ADP/ATP translocase
Target Names
EAAC
Uniprot No.

Target Background

Function
Adenine nucleotide transporter.
Database Links

KEGG: ath:AT3G51870

STRING: 3702.AT3G51870.1

UniGene: At.27677

Protein Families
Mitochondrial carrier (TC 2.A.29) family
Subcellular Location
Plastid, chloroplast membrane; Multi-pass membrane protein.

Q&A

What is an EAAC antibody and what is its primary research application?

EAAC antibodies are immunoglobulins designed to recognize and bind to Excitatory Amino Acid Carrier proteins, which are important transmembrane proteins involved in glutamate transport. In research settings, these antibodies are commonly used for detecting, quantifying, and localizing EAAC proteins in various experimental contexts . EAAC antibodies can be applied across multiple experimental platforms including ELISA, Western blotting, immunohistochemistry, and immunoprecipitation techniques, with each application requiring specific validation parameters .

The primary applications for EAAC antibodies in neuroscience research include studying glutamate transporter expression patterns, investigating neurological disorders associated with excitatory amino acid transport dysregulation, and examining the role of these transporters in neuronal metabolism and signaling. When selecting an EAAC antibody for research, it's essential to verify that it has been validated for your specific experimental conditions and cellular context .

How should researchers validate EAAC antibodies before use in experiments?

Proper validation of EAAC antibodies is critical for ensuring experimental reproducibility and reliability. After selecting an antibody, researchers should perform context-specific validation relevant to the particular research study . Validation should include multiple complementary approaches:

  • Positive and negative controls using tissues or cells known to express or lack the target protein

  • Knockout or knockdown validation to confirm specificity

  • Peptide competition assays to verify epitope recognition

  • Cross-reactivity testing against similar proteins

  • Application-specific validation (e.g., for Western blot, IHC, or IP)

When validating EAAC antibodies, researchers should not rely solely on vendor-provided data but should conduct independent validation in their specific experimental system. This is particularly important because antibody performance can vary significantly depending on sample preparation, fixation methods, and detection systems . Documentation of all validation steps is essential for ensuring reproducibility and should be included in publications and research protocols.

What are the key differences between polyclonal and monoclonal EAAC antibodies?

The choice between polyclonal and monoclonal EAAC antibodies significantly impacts experimental outcomes. Each type offers distinct advantages and limitations for researchers:

CharacteristicPolyclonal EAAC AntibodiesMonoclonal EAAC Antibodies
ProductionGenerated from multiple B-cell clonesProduced from a single B-cell clone
Epitope recognitionRecognize multiple epitopes on EAACRecognize a single epitope on EAAC
SensitivityGenerally higher sensitivityMay have lower sensitivity but higher specificity
Batch-to-batch variabilityHigher variabilityLower variability
Resistance to antigen changesMore resistant to minor changes in antigen conformationMore susceptible to epitope loss through protein modification
Ideal applicationsBetter for detection of low abundance proteinsPreferred for distinguishing between closely related proteins

When selecting between these antibody types, researchers should consider their experimental goals. Polyclonal antibodies may be preferred when initially detecting EAAC in a novel system due to their ability to recognize multiple epitopes, while monoclonal antibodies are typically better for experiments requiring high reproducibility and precise epitope targeting . For quantitative analyses, well-characterized monoclonal antibodies often provide more consistent results across experiments.

How can researchers troubleshoot cross-reactivity issues with EAAC antibodies?

Cross-reactivity remains one of the most challenging issues when working with antibodies targeting transporter proteins like EAAC. When experiencing cross-reactivity problems, researchers should implement a systematic troubleshooting approach:

  • Perform comprehensive epitope analysis to identify regions of sequence homology between EAAC and related transporters

  • Conduct pre-adsorption controls with the immunizing peptide to confirm binding specificity

  • Test the antibody against tissues from knockout models lacking EAAC expression

  • Implement more stringent washing conditions in immunoblotting or immunohistochemistry protocols

  • Consider using multiple antibodies targeting different epitopes of EAAC to cross-validate findings

To reduce cross-reactivity issues, researchers might benefit from using recombinant, non-animal-derived antibodies that have undergone extensive specificity screening. These antibodies offer significant scientific advantages, including defined sequences that can be reproduced with identical binding and specificity profiles . Advanced techniques such as epitope mapping can also help identify the specific binding regions and potential cross-reactive sequences.

What methodological approaches optimize EAAC antibody performance in different experimental contexts?

Optimizing EAAC antibody performance requires tailoring methodological approaches to specific experimental contexts:

For Western blotting:

  • Adjust protein extraction buffers to preserve membrane protein integrity (critical for transmembrane EAAC proteins)

  • Test multiple blocking agents (BSA vs. milk) as milk proteins may interfere with some antibody-epitope interactions

  • Optimize primary antibody concentration through titration experiments (typically 1:500 to 1:5000)

  • Extend primary antibody incubation time (overnight at 4°C often improves signal-to-noise ratio)

For immunohistochemistry:

  • Compare multiple fixation protocols as EAAC epitope accessibility can be fixative-dependent

  • Test antigen retrieval methods specifically optimized for membrane proteins

  • Use tyramide signal amplification for low-abundance targets

  • Consider tissue-specific autofluorescence quenching techniques

The selection of affinity-based methods should be informed by the antibody's validated applications. Importantly, the in vitro antibody selection against a target antigen can be tightly controlled to enrich clones with desired properties, allowing researchers to select antibodies that are functional under their specific experimental conditions . For quantitative applications, researchers should establish standard curves with recombinant EAAC protein to ensure accurate quantification.

How do post-translational modifications of EAAC proteins affect antibody recognition and experimental design?

Post-translational modifications (PTMs) of EAAC proteins significantly impact antibody recognition and necessitate careful experimental design considerations:

Phosphorylation, glycosylation, ubiquitination, and other PTMs can either mask or create epitopes on EAAC proteins, potentially altering antibody binding characteristics. Researchers should consider:

  • Using modification-specific antibodies when studying particular PTM states of EAAC

  • Treating samples with phosphatases, glycosidases, or other enzymes to remove specific modifications when studying total EAAC expression

  • Comparing results using multiple antibodies recognizing different epitopes to control for PTM-related recognition issues

  • Incorporating appropriate controls that account for the dynamic nature of PTMs under various physiological conditions

When studying EAAC regulation through PTMs, researchers might benefit from employing non-animal-derived antibodies that can be selected under precisely controlled biochemical conditions that match their experimental setup . This approach allows for the enrichment of antibody clones with desired properties, potentially including those that can distinguish between different PTM states of the target protein.

What are the advantages of using non-animal-derived EAAC antibodies in research?

Non-animal-derived EAAC antibodies offer several significant advantages for researchers:

  • Sequence-defined antibodies can be duplicated with identical binding and specificity profiles indefinitely, enhancing experimental reproducibility

  • In vitro selection against target antigens can be precisely controlled to enrich clones with desired properties specific to EAAC research applications

  • The genetic sequence of non-animal-derived antibodies can be modified to add various features, including different antibody formats and detection systems

  • Selection of antibodies using universal recombinant libraries can be performed in just a few weeks, compared to several months for animal-derived monoclonal antibodies

  • Ethical considerations align with the 3Rs principle (Replacement, Reduction, Refinement) of animal research

According to scientific evidence reviewed by the EURL ECVAM Scientific Advisory Committee (ESAC), non-animal-derived antibodies are not only equivalent to animal-derived antibodies but in many respects offer significant scientific and economic benefits . For researchers studying EAAC proteins, these advantages translate to more consistent experimental outcomes, greater flexibility in antibody design, and faster development of new research tools.

How can machine learning approaches improve EAAC antibody selection and application?

Machine learning approaches are increasingly valuable for enhancing EAAC antibody selection and application through several innovative methods:

Recent advances in computational biology have enabled the development of predictive models for antibody-antigen binding. For EAAC antibody research specifically, these approaches can:

  • Predict antibody-antigen binding affinities based on sequence information, potentially reducing experimental screening time

  • Identify optimal epitopes on EAAC proteins that balance accessibility, uniqueness, and stability

  • Design more specific antibodies by analyzing cross-reactivity patterns across related transporter proteins

  • Optimize antibody sequences for improved expression, stability, and binding characteristics

Active learning algorithms can significantly improve experimental efficiency in a library-on-library setting and advance antibody-antigen binding prediction . In one study, the best algorithm reduced the number of required antigen mutant variants by up to 35% and accelerated the learning process by 28 steps compared to random baseline approaches . These advancements are particularly valuable for complex membrane proteins like EAAC, where traditional experimental approaches may be more challenging and resource-intensive.

What methodological considerations are essential when transitioning from animal-derived to non-animal-derived EAAC antibodies?

Transitioning from animal-derived to non-animal-derived EAAC antibodies requires careful methodological considerations to ensure experimental continuity and validity:

  • Cross-validation between existing animal-derived and new non-animal-derived antibodies should be performed using multiple techniques (Western blot, ELISA, IHC) to establish equivalency or identify differences in recognition patterns

  • Optimization of experimental protocols may be necessary, as non-animal-derived antibodies might have different optimal conditions for:

    • Buffer compositions

    • Incubation times and temperatures

    • Blocking agents

    • Detection methods

  • Documentation of transition effects through side-by-side comparisons of results obtained with both antibody types is essential for maintaining research continuity

  • Epitope analysis and specificity testing should be conducted to understand potential differences in binding characteristics

How should researchers address inconsistent EAAC antibody staining patterns across different tissue samples?

Inconsistent EAAC antibody staining patterns across different tissue samples represent a common challenge that requires systematic troubleshooting:

  • Evaluate tissue preparation variables:

    • Compare fixation methods (paraformaldehyde, methanol, acetone) as EAAC epitopes may be differentially preserved

    • Assess antigen retrieval techniques (heat-induced vs. enzymatic) for effectiveness across tissue types

    • Consider tissue-specific autofluorescence and implement appropriate quenching methods

  • Analyze biological variables:

    • Document developmental stage and physiological state of tissue samples

    • Consider region-specific expression patterns of EAAC variants

    • Evaluate potential post-translational modifications that may vary between tissues

  • Implement technical controls:

    • Use positive control tissues with established EAAC expression patterns

    • Include no-primary antibody controls to assess non-specific binding of secondary antibodies

    • Perform peptide competition assays to confirm specificity

When addressing inconsistencies, researchers should remember that while validation images and publication data are important when selecting an antibody, it's also crucial to research the companies providing the antibodies . A transparent company will show all validation images whether performed in-house or by another source, and will disclose antigen information . This transparency can help researchers better understand potential sources of variability in their experimental results.

What are the most effective strategies for quantifying EAAC expression levels in complex tissue samples?

Quantifying EAAC expression levels in complex tissue samples requires sophisticated methodological approaches to ensure accuracy and reliability:

MethodStrengthsLimitationsBest Practices
Western blottingDirect comparison of protein levelsLimited spatial informationUse loading controls specific for membrane fractions
Quantitative immunohistochemistryPreserves spatial informationChallenging to standardizeImplement rigorous image acquisition parameters
Flow cytometrySingle-cell resolutionRequires tissue dissociationUse compensation controls for autofluorescence
ELISAHigh throughput quantificationLoss of spatial informationDevelop standard curves with recombinant EAAC
Quantitative PCRSensitive for transcript detectionDoesn't measure proteinValidate correlation between mRNA and protein levels

When quantifying EAAC expression, researchers should consider using non-animal-derived antibodies that offer sequence consistency and reproducibility advantages . The genetic sequence of these antibodies can be modified to add features that may facilitate quantification, such as standardized detection systems .

For challenging samples, combining multiple quantification techniques provides the most comprehensive assessment. Researchers should be particularly careful when interpreting results from different antibodies targeting the same protein, as they may recognize different epitopes or isoforms, potentially leading to apparent discrepancies in expression levels.

How can researchers distinguish between specific and non-specific binding when using EAAC antibodies?

Distinguishing between specific and non-specific binding is critical for accurate interpretation of EAAC antibody results. Researchers should implement multiple control strategies:

  • Genetic controls:

    • Compare staining between wild-type and knockout/knockdown samples

    • Use overexpression systems to confirm signal enhancement with increased target expression

  • Biochemical controls:

    • Perform pre-adsorption with immunizing peptides or recombinant EAAC protein

    • Conduct competitive binding assays with unlabeled antibodies

  • Technical controls:

    • Test multiple antibodies targeting different EAAC epitopes

    • Implement isotype controls matched to the primary antibody

    • Use concentration gradients to identify optimal antibody dilutions that maximize signal-to-noise ratios

  • Analytical approaches:

    • Compare staining patterns with known EAAC distribution from orthogonal techniques (e.g., in situ hybridization)

    • Assess subcellular localization consistency with known EAAC biology

When evaluating specificity, researchers should be aware that according to industry experts, buying antibodies only from reputable companies, shopping around, and not letting price dictate choice are important considerations . Additionally, ensuring the antibody fits the application and has been validated specifically for that application with robust validation data is essential for minimizing non-specific binding issues .

How are advances in recombinant antibody technology changing EAAC research methodologies?

Advances in recombinant antibody technology are fundamentally transforming EAAC research methodologies through several breakthrough approaches:

Recombinant technology allows for precise antibody engineering that can enhance EAAC detection and analysis:

  • Development of single-chain variable fragments (scFvs) and nanobodies with smaller sizes enables better penetration of tissues and access to sterically hindered epitopes on EAAC proteins

  • Creation of bispecific antibodies capable of simultaneously binding EAAC and interacting proteins to study protein complexes in their native context

  • Integration of site-specific labeling techniques for super-resolution microscopy applications, allowing visualization of EAAC distribution at unprecedented resolution

  • Engineering of antibody-enzyme fusion proteins for proximity labeling to identify novel EAAC interaction partners

The ESAC (EURL ECVAM Scientific Advisory Committee) has concluded that non-animal-derived antibodies are mature reagents generated by a proven technology and should be promoted for scientific use . For EAAC research specifically, these technologies offer the ability to develop highly specialized reagents that can address previously intractable questions about transporter localization, trafficking, and regulation. Well-characterized, recombinant affinity reagents will improve the reproducibility of science and positively impact society through more reliable research outcomes .

What new experimental approaches are emerging for studying EAAC protein interactions using advanced antibody technologies?

Innovative experimental approaches leveraging advanced antibody technologies are revolutionizing the study of EAAC protein interactions:

  • Proximity-dependent labeling methods:

    • Antibody-BioID fusion proteins allow for identification of proteins in close proximity to EAAC in living cells

    • APEX2-conjugated antibodies enable electron microscopy-compatible labeling of EAAC interaction environments

  • Real-time interaction monitoring:

    • Split-protein complementation assays using antibody fragments to detect EAAC-protein interactions without disrupting cellular architecture

    • FRET/BRET-based approaches using antibody-fluorophore conjugates for dynamic interaction studies

  • Spatial proteomics applications:

    • Multiplex immunofluorescence with spectrally distinct non-animal-derived antibodies to map EAAC co-localization patterns

    • Mass cytometry (CyTOF) with metal-conjugated antibodies for high-dimensional analysis of EAAC complex composition

  • Active learning algorithms for library-on-library antibody-antigen binding prediction can reduce experimental workload by up to 35% while accelerating the learning process . These computational approaches complement experimental methods by helping researchers prioritize the most informative experiments.

Non-animal-derived antibodies are particularly valuable for these advanced applications because they can be genetically modified to add specific features tailored to experimental needs . The in vitro selection process also allows for tight control of the biochemical conditions, enabling researchers to enrich for antibody clones with properties specifically suited to their experimental system .

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