PURA1 Antibody

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Description

Antibody Overview

The PURA antibody (e.g., ab125200 from Abcam) is a rabbit polyclonal antibody validated for immunoprecipitation (IP) and Western blot (WB) in human samples . Key features include:

PropertyDetails
Target EpitopeSynthetic peptide within human PURA amino acids 100–150
Host SpeciesRabbit
ApplicationsWB, IP
IsotypeIgG
ImmunogenSynthetic peptide (Human PURA aa 100–150)
Validated SpeciesHuman
Predicted Molecular Weight27 kDa (primary band), 35 kDa, and 71 kDa (additional isoforms)

Biological Context of PURA

PUR-alpha (PURA) is a multifunctional protein involved in:

  • DNA/RNA binding: Binds purine-rich sequences in DNA (e.g., near MYC oncogene) and cytoplasmic mRNAs .

  • Cellular processes: Regulates mRNA transport, stress granule dynamics, and P-body formation .

  • Disease links: Heterozygous PURA mutations cause PURA Syndrome, characterized by neurodevelopmental delays, hypotonia, and seizures .

Mechanistic Insights into PURA Syndrome

  • P-body disruption: PURA depletion reduces expression of P-body components (LSM14A, DDX6) and destabilizes mRNA regulation, implicating PURA in neurodevelopmental pathology .

  • GLUT1 interaction: PURA physically interacts with glucose transporter GLUT1, enhancing glucose uptake in HeLa cells without altering GLUT1 expression levels .

HIV-1 and Viral Pathogenesis

  • Transcriptional activation: PURA binds HIV-1 Tat protein and viral RNA (TAR element), facilitating viral transcription and replication .

  • JCV replication: PURA cooperates with HIV-1 Tat to activate JC polyomavirus replication in oligodendrocytes, contributing to progressive multifocal leukoencephalopathy .

Cancer Biology

  • Cell cycle regulation: PURA overexpression inhibits oncogenic cell proliferation by interacting with Cyclin/Cdk complexes and Rb tumor suppressor .

Experimental Validation

  • Western blot: Detects PURA at 27 kDa (primary band) in HeLa lysates, with specificity confirmed via knockdown controls .

  • Immunoprecipitation: Co-IP experiments demonstrate PURA’s interaction with GLUT1, validated by colocalization and dot-blot assays .

  • Functional assays: Glucose uptake assays in PURA-knockdown HeLa cells show reduced 2-NBDG fluorescence, linking PURA to metabolic regulation .

Comparative Antibody Performance

While ab125200 is widely used, other antibodies like 12D11 (rat monoclonal) target PURA’s linker region (aa 21) and show specificity in WB/IP . Key differences:

AntibodyHostEpitopeApplications
ab125200RabbitPURA aa 100–150WB, IP
12D11RatPURA linker regionWB, IP, immunofluorescence

Clinical and Therapeutic Implications

  • Biomarker potential: PURA levels correlate with P-body integrity and mRNA stability, offering insights into PURA Syndrome diagnostics .

  • Therapeutic targets: PURA-GLUT1 interaction highlights metabolic pathways as potential intervention points for neurodevelopmental disorders .

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
PURA1 antibody; Os03g0174500 antibody; LOC_Os03g07840 antibody; OsJ_09613 antibody; Adenylosuccinate synthetase 1 antibody; chloroplastic antibody; AMPSase 1 antibody; AdSS 1 antibody; EC 6.3.4.4 antibody; IMP--aspartate ligase 1 antibody
Target Names
PURA1
Uniprot No.

Target Background

Function
PURA1 Antibody plays a crucial role in both the de novo and salvage pathways of purine nucleotide biosynthesis. It catalyzes the first committed step in the biosynthesis of adenosine monophosphate (AMP) from inosine monophosphate (IMP).
Database Links

KEGG: osa:4331792

STRING: 39947.LOC_Os03g07840.1

UniGene: Os.8295

Protein Families
Adenylosuccinate synthetase family
Subcellular Location
Plastid, chloroplast.

Q&A

What is PURA protein and why is it significant in research?

PURA (Purine-rich element binding protein A) is a probable transcription activator that specifically binds to the purine-rich single strand of the PUR element located upstream of the MYC gene . It comprises three PUR domains that engage with nucleic acids and play roles in protein-protein interactions. PURA is significant in research due to its neurological implications, as mutations in the PURA gene can lead to PURA syndrome, which presents with developmental delay, hypotonia, and seizures . Understanding PURA's function is critical for investigating neurological development and glucose metabolism pathways, as recent research has revealed its interaction with GLUT1 transport mechanisms .

What applications are PURA antibodies commonly used for in research?

PURA antibodies are utilized in multiple research applications including:

  • Immunoprecipitation studies to investigate protein-protein interactions, as demonstrated in research identifying PURA's interaction with GLUT1

  • Western blotting for expression analysis and validation of PURA manipulation in experimental models

  • Immunofluorescence microscopy to visualize PURA localization and potential co-localization with other proteins

  • Dot-blot overlay assays to provide evidence of protein interactions

These applications are essential for investigating PURA's role in transcriptional regulation and its interactions with other cellular components.

How should researchers validate the specificity of PURA antibodies?

Validating PURA antibody specificity requires a multi-step approach:

  • Positive and negative controls: Use tissues or cell lines known to express or not express PURA

  • Knockdown validation: Employ PURA knockdown (e.g., through IPTG-induced shRNA) to confirm antibody specificity by observing reduced signal in Western blots

  • Overexpression controls: Compare antibody signal in normal vs. PURA-overexpressing cells to confirm proportional signal increase

  • Cross-reactivity testing: Test against closely related proteins to ensure specificity

  • Multiple detection methods: Confirm findings using different techniques (Western blot, immunofluorescence, etc.) to ensure consistent detection

This systematic validation approach ensures that experimental findings genuinely reflect PURA biology rather than antibody artifacts.

What experimental protocols are recommended for co-immunoprecipitation studies with PURA antibodies?

For effective PURA co-immunoprecipitation studies:

  • Antibody conjugation: Conjugate anti-PURA antibodies to Protein A agarose beads as demonstrated in successful PURA-GLUT1 co-IP experiments

  • Cell lysis conditions: Use gentle lysis buffers that preserve protein-protein interactions while effectively extracting membrane proteins if investigating interactions with membrane components like GLUT1

  • Controls: Include immunoprecipitation with non-specific IgG antibodies and input samples (pre-immunoprecipitation lysates)

  • RNase treatment: Consider RNase treatment of lysates prior to immunoprecipitation to distinguish direct protein-protein interactions from RNA-mediated associations

  • Detection method: Use Western blotting with antibodies against suspected interacting partners to confirm co-precipitation

This protocol has successfully demonstrated PURA's physical interaction with GLUT1, providing evidence that PURA engages in functional protein complexes in cellular contexts .

How can researchers investigate PURA's role in glucose metabolism using PURA antibodies?

Investigating PURA's role in glucose metabolism requires a multi-faceted approach:

  • Establish modulation systems: Develop stable cell lines with inducible shRNA targeting PURA, alongside PURA overexpression systems

  • Measure glucose uptake: Use fluorescent glucose analogs following PURA manipulation to quantify functional effects on glucose transport

  • Antibody applications:

    • Western blotting to confirm PURA and GLUT1 expression levels

    • Immunofluorescence to examine co-localization of PURA with GLUT1 or other glucose transporters

    • Co-immunoprecipitation to identify physical interactions

Researchers have successfully demonstrated that PURA enhances glucose uptake in cultured HeLa cells by potentiating the function of GLUT1, without inducing significant alterations in GLUT1 expression levels . This finding illustrates how antibody-based techniques can reveal functional metabolic roles for transcription factors beyond their nuclear activities.

What are the technical considerations when using PURA antibodies for immunofluorescence co-localization studies?

For successful PURA co-localization studies:

  • Fixation method: Optimize fixation protocols to preserve both nuclear and potential cytoplasmic PURA localization

  • Antibody compatibility: Ensure primary antibodies for PURA and target proteins (e.g., GLUT1) are raised in different species to allow simultaneous detection

  • Controls for specificity: Include single-staining controls and PURA knockdown samples

  • Quantification methodology: Use appropriate co-localization metrics (e.g., Pearson's coefficient as used in PURA-GLUT1 studies showing coefficients of 0.81 in overexpression conditions)

  • Subcellular markers: Include markers for specific cellular compartments to precisely identify co-localization regions

  • Image analysis: Apply deconvolution and appropriate thresholding methods when calculating co-localization coefficients

These considerations enable researchers to accurately assess protein interactions in their native cellular context, as demonstrated in studies revealing the spatial relationship between PURA and GLUT1 .

What are common pitfalls when working with PURA antibodies and how can they be addressed?

Common challenges with PURA antibodies include:

  • Non-specific binding: Address by:

    • Optimizing antibody concentration through titration experiments

    • Increasing blocking stringency (longer blocking times, different blocking agents)

    • Using additional washing steps with higher detergent concentrations

  • Weak signal detection: Improve by:

    • Using signal amplification methods

    • Optimizing antigen retrieval methods if working with tissue sections

    • Ensuring proper sample preparation to expose PURA epitopes

  • Inconsistent results between applications: Resolve by:

    • Verifying antibody suitability for each specific application

    • Potentially using different PURA antibodies optimized for different applications

    • Validating antibody performance in your specific experimental system

  • Batch-to-batch variability: Mitigate by:

    • Maintaining detailed records of antibody lot numbers

    • Testing each new lot against previous lots before full implementation

    • Considering monoclonal antibodies for greater consistency if working with polyclonals

Addressing these challenges systematically will improve the reliability and reproducibility of PURA antibody-based experiments.

How can researchers optimize Western blotting protocols for detecting PURA?

Optimizing Western blotting for PURA detection:

  • Sample preparation:

    • Use appropriate lysis buffers containing protease inhibitors

    • Consider nuclear extraction protocols as PURA is primarily nuclear

    • Include positive controls (PURA-overexpressing cells) and negative controls (PURA knockdown)

  • Electrophoresis and transfer conditions:

    • Determine optimal percentage of acrylamide gels for PURA's molecular weight

    • Optimize transfer time and voltage for efficient transfer of PURA

  • Antibody incubation:

    • Titrate primary antibody concentrations to determine optimal dilution

    • Consider overnight incubation at 4°C for improved signal-to-noise ratio

    • Test different blocking agents to minimize background

  • Detection system:

    • Choose between chemiluminescence, fluorescence, or chromogenic detection based on sensitivity requirements

    • Consider signal enhancement systems for detecting low abundance PURA

  • Validation strategy:

    • Confirm specificity using PURA knockdown samples as negative controls

    • Use PURA overexpression samples as positive controls

These optimizations have successfully been applied in studies examining PURA's relationship with GLUT1, providing clear Western blot results that demonstrated successful manipulation of PURA expression levels .

How can PURA antibodies be used to investigate the relationship between PURA syndrome and glucose transport?

Investigating PURA syndrome and glucose transport:

  • Patient-derived samples:

    • Use PURA antibodies to compare PURA expression and localization in control vs. patient-derived cells

    • Examine PURA-GLUT1 co-localization in patient samples with hypoglycorrhachia (low CSF glucose)

  • Model systems:

    • Develop cellular models with PURA mutations identified in patients

    • Use PURA antibodies to examine altered interactions with GLUT1 or other glucose transporters

    • Quantify changes in PURA-GLUT1 complex formation using co-immunoprecipitation

  • Functional assays:

    • Combine PURA antibody-based techniques with glucose uptake assays to correlate structural findings with functional outcomes

    • Use immunofluorescence to track changes in GLUT1 trafficking in response to PURA mutations

  • Mechanistic investigations:

    • Use PURA antibodies in chromatin immunoprecipitation (ChIP) to identify changes in PURA's transcriptional targets in disease models

    • Compare PURA-protein interactions using immunoprecipitation followed by mass spectrometry in normal vs. disease conditions

This comprehensive approach can help elucidate why PURA mutations in some patients lead to hypoglycorrhachia, providing insights into both PURA syndrome pathophysiology and normal PURA function in glucose homeostasis .

What are the latest methodological advances in studying PURA interactions with membrane proteins like GLUT1?

Recent methodological advances include:

  • Proximity labeling techniques:

    • BioID or APEX2 fusion proteins with PURA to identify proteins in close proximity in living cells

    • These complement traditional co-immunoprecipitation approaches used with PURA antibodies

  • Advanced microscopy methods:

    • Super-resolution microscopy to better visualize PURA-GLUT1 interactions at the membrane

    • FRET (Förster Resonance Energy Transfer) microscopy to confirm direct protein-protein interactions in live cells

  • Combined structural and functional approaches:

    • Correlating co-localization coefficient measurements with functional glucose uptake assays as demonstrated in HeLa cell models

    • Using rotenone treatment (mitochondrial complex I inhibitor) to indirectly upregulate GLUT1 and observe effects on PURA interaction

  • Computational modeling:

    • Using antibody-derived interaction data to inform computational models of PURA-GLUT1 binding

    • Applying biophysics-informed models similar to those used in antibody specificity research to predict interaction interfaces

These methodological advances are providing unprecedented insights into how a primarily nuclear protein like PURA can influence membrane protein function, revealing new dimensions of cellular regulation .

How do different types of PURA antibodies compare in research applications?

Comparison of PURA antibody types:

Antibody TypeAdvantagesLimitationsBest Applications
Polyclonal (e.g., ab125200) - Recognizes multiple epitopes
- Often higher sensitivity
- Good for low-abundance targets
- Potential batch-to-batch variability
- May have more background
- Potential for cross-reactivity
- Western blotting
- Immunoprecipitation
- Initial characterization studies
Monoclonal- Consistent performance
- High specificity for single epitope
- Reduced background
- May be less sensitive
- Single epitope may be lost in certain applications
- More expensive production
- Quantitative assays
- Long-term studies requiring consistency
- Applications where specificity is critical
Recombinant- Defined sequence
- Reduced batch variation
- Animal-free production option
- More expensive
- May have different post-translational modifications
- Limited availability for some targets
- Reproducible research requiring high consistency
- Applications where ethical considerations limit animal use

Selection should be based on the specific research question, required applications, and validation needs. For studying novel PURA interactions like those with GLUT1, using multiple antibody types can provide complementary evidence and strengthen research findings .

How should researchers design experiments to investigate potential novel PURA binding partners?

A comprehensive experimental design should include:

  • Initial screening approaches:

    • Immunoprecipitation with PURA antibodies followed by mass spectrometry to identify potential interacting proteins

    • Proximity labeling methods (BioID, APEX) to identify proteins in close proximity to PURA in living cells

  • Validation of interactions:

    • Reciprocal co-immunoprecipitation experiments (IP with PURA antibody and blot for partner; IP with partner antibody and blot for PURA)

    • Dot-blot overlay assays as used in PURA-GLUT1 studies

    • Co-localization studies using immunofluorescence microscopy with appropriate controls and quantification

  • Functional significance assessment:

    • Manipulate PURA levels (knockdown/overexpression) and observe effects on potential partner proteins

    • Design functional assays relevant to the putative partner's function (e.g., glucose uptake assays for GLUT1)

  • Controls and specificity checks:

    • RNase treatment to distinguish RNA-dependent from direct protein interactions

    • PURA mutant constructs to map interaction domains

    • Competition assays with purified proteins

This systematic approach has successfully identified the interaction between PURA and GLUT1, revealing new functional roles for PURA beyond its known transcriptional activities .

How can computational approaches complement PURA antibody studies in research?

Computational approaches can enhance PURA antibody research by:

  • Predicting interaction interfaces:

    • Using biophysics-informed models similar to those used in antibody research to predict PURA binding interfaces with partners like GLUT1

    • Identifying key residues for mutagenesis studies to confirm computational predictions

  • Integrating multiple datasets:

    • Combining antibody-derived co-immunoprecipitation data with transcriptomic and proteomic datasets

    • Creating network models of PURA interactions to predict novel functions and partners

  • Optimizing experimental design:

    • Using computational approaches to design optimal epitope selection for generating new PURA antibodies

    • Applying computational models to predict the impact of PURA mutations on antibody binding and protein function

  • Enhancing specificity analysis:

    • Using computational methods similar to those employed in antibody specificity engineering to identify potential cross-reactivity of PURA antibodies

    • Designing computational workflows to disentangle multiple binding modes in complex experimental systems

This integration of computational and antibody-based experimental approaches represents the cutting edge of PURA research methodology, potentially accelerating discovery and providing mechanistic insights that neither approach could achieve alone .

What are future directions for PURA antibody applications in neurological research?

Emerging applications for PURA antibodies in neurological research include:

  • Single-cell analysis:

    • Applying single B cell screening technologies to develop highly specific PURA antibodies for neurological research

    • Using PURA antibodies in single-cell imaging and -omics approaches to understand cell-type-specific functions

  • In vivo applications:

    • Developing application-optimized PURA antibodies for techniques like tissue clearing and whole-brain imaging

    • Creating PURA antibody fragments for potential therapeutic applications in PURA syndrome

  • Mechanistic studies of PURA syndrome:

    • Using PURA antibodies to investigate how mutations affect PURA's interaction with GLUT1 and glucose transport in neuronal models

    • Exploring the relationship between PURA dysfunction, hypoglycorrhachia, and neurological symptoms

  • Multi-protein complex analysis:

    • Investigating PURA as part of larger protein complexes in neurons using antibody-based proximity labeling

    • Exploring PURA's role in regulating multiple aspects of neuronal metabolism beyond glucose handling

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