PSAT1 Antibody, Biotin conjugated

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Description

ELISA Compatibility

The biotin-conjugated format enables integration with avidin-biotin detection systems, making it suitable for enzyme-linked immunosorbent assays. This is advantageous for quantifying PSAT1 levels in murine samples, such as serum, tissue lysates, or cell culture supernatants.

Potential Cross-Applications

While not explicitly validated, biotin-conjugated antibodies are often adaptable to:

  • Biotin-Avidin Amplification: Enhancing signal detection in low-abundance samples.

  • Multiplex Assays: Combination with other biotinylated probes for multi-target analysis.

PSAT1’s Functional Relevance

PSAT1 is a pyridoxal-phosphate-dependent enzyme that catalyzes the reversible conversion of 3-phosphohydroxypyruvate to phosphoserine and 3-hydroxy-2-oxo-4-phosphonooxybutanoate to phosphohydroxythreonine. It plays pivotal roles in:

  • Serine Metabolism: Central to nucleotide synthesis, redox balance, and cancer progression .

  • Cancer Resistance: Overexpression linked to tamoxifen resistance in breast cancer and oxaliplatin resistance in colorectal cancer .

  • Muscle Regeneration: Modulates α-ketoglutarate (α-KG) and glutamine production, influencing stem cell proliferation .

Antibody Comparisons

The biotin-conjugated antibody differs from other PSAT1 antibodies in its conjugation and species specificity:

AntibodyHostConjugateReactive SpeciesApplications
Cepham Biotin RabbitBiotinMouseELISA
Boster Bio PB10086 RabbitUnconjugatedHuman, Mouse, RatWB, IHC, IF, ICC, IP
Proteintech 67619-1-PBS MouseUnconjugatedHuman, Mouse, Rat, PigWB, IHC, IF/ICC, ELISA

Validation and Optimization

  • Species-Specificity: Primarily validated for murine PSAT1; cross-reactivity with other species (e.g., human) requires experimental confirmation.

  • Dilution Range: ELISA protocols typically require titration (e.g., 1:500–1:2,000), as optimal concentrations vary by assay design.

Limitations

  • Untested Applications: No published data on WB, IHC, or IF/ICC performance.

  • Metabolic Context: PSAT1’s role in serine metabolism necessitates careful interpretation in studies involving metabolic pathways (e.g., glycolysis, glutaminolysis) .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Typically, we can ship your order within 1-3 business days of receiving it. Delivery times may vary depending on the shipping method and destination. Please consult your local distributor for specific delivery timelines.
Synonyms
EC 2.6.1.52 antibody; Endometrial progesterone induced protein antibody; EPIP antibody; MGC1460 antibody; NLS2 antibody; Phosphohydroxythreonine aminotransferase antibody; phosphoserine aminotransferase 1 antibody; Phosphoserine aminotransferase antibody; PSA antibody; PSAT antibody; Psat1 antibody; PSATD antibody; SERC_HUMAN antibody
Target Names
PSAT1
Uniprot No.

Target Background

Function
This antibody catalyzes the reversible conversion of 3-phosphohydroxypyruvate to phosphoserine and 3-hydroxy-2-oxo-4-phosphonooxybutanoate to phosphohydroxythreonine.
Gene References Into Functions
  1. Studies have shown a significant association between elevated PSAT1 protein and mRNA levels and poor response to tamoxifen treatment in breast cancer. PMID: 28522855
  2. PSAT1, which is often overexpressed in ER-negative breast cancers, is activated by ATF4. This activation promotes cell cycle progression by regulating the GSK3beta/beta-catenin/cyclin D1 pathway. PMID: 29216929
  3. Research suggests that phosphoserine aminotransferase 1 (PSAT1) may be a promising target for anticancer therapies. PMID: 27372650
  4. High expression of PSAT is associated with Colon Cancer. PMID: 26439504
  5. In non-small cell lung cancer, PSAT1 expression is positively correlated with the levels of phosphorylated cyclin D1. PMID: 25142862
  6. A deficiency in phosphoserine aminotransferase is linked to Neu-Laxova syndrome. PMID: 25152457
  7. Evidence suggests that PSAT1 may be involved in altered serine metabolism and schizophrenia spectrum conditions. PMID: 20955740
  8. Two isoforms generated by alternative splicing have been identified, each exhibiting distinct nucleotide sequences and enzymatic activity. Their expression varies depending on tissue specificity and cellular proliferation status. PMID: 12633500
  9. Overexpression of phosphoserine aminotransferase is associated with colorectal cancer development. PMID: 18221502

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Database Links

HGNC: 19129

OMIM: 610936

KEGG: hsa:29968

STRING: 9606.ENSP00000365773

UniGene: Hs.494261

Involvement In Disease
Phosphoserine aminotransferase deficiency (PSATD); Neu-Laxova syndrome 2 (NLS2)
Protein Families
Class-V pyridoxal-phosphate-dependent aminotransferase family, SerC subfamily
Tissue Specificity
Expressed at high levels in the brain, liver, kidney and pancreas, and very weakly expressed in the thymus, prostate, testis and colon.

Q&A

What is PSAT1 and why is it significant in biomedical research?

PSAT1 (Phosphoserine Aminotransferase 1) is an enzyme involved in serine biosynthesis, with significant implications in cancer biology. Recent research has established PSAT1 as a critical regulator of tumor metastasis, particularly in colorectal cancer (CRC) where it influences epithelial-mesenchymal transition (EMT) through modulation of the PI3K/AKT signaling pathway . The enzyme has been identified as both a potential prognostic biomarker and therapeutic target for metastatic colorectal cancer. PSAT1's molecular weight is approximately 40 kDa (calculated from its 370 amino acids), though it typically appears at 37-40 kDa in experimental conditions . Understanding PSAT1's function provides critical context for antibody-based detection and functional studies in cancer research.

How do PSAT1 antibodies differ in their binding specificity and what factors should researchers consider when selecting one?

PSAT1 antibodies vary significantly in their binding specificity based on the epitope regions they target. Some antibodies target the full-length protein (AA 1-370), while others target specific regions such as the N-terminus, internal regions, or C-terminus . When selecting a PSAT1 antibody, researchers should consider:

  • Target epitope region: Different functional domains may be masked in certain experimental conditions

  • Cross-reactivity profile: Some antibodies react with human samples only, while others show reactivity with mouse, rat, and other species

  • Validated applications: Ensure the antibody has been validated for your specific application (WB, IHC, IF, etc.)

  • Clonality: Polyclonal antibodies offer broader epitope recognition but may have batch-to-batch variability

  • Potential for post-translational modifications affecting epitope availability

The epitope location can significantly impact experimental outcomes, particularly when working with truncated proteins or in contexts where protein interactions might mask certain regions.

What are the advantages of biotin-conjugated PSAT1 antibodies compared to unconjugated versions?

Biotin-conjugated PSAT1 antibodies offer several methodological advantages over unconjugated versions:

  • Enhanced signal amplification: The biotin-avidin/streptavidin system provides one of the strongest non-covalent biological interactions (Kd ≈ 10^-15 M), enabling significant signal amplification in detection systems

  • Multi-platform compatibility: Biotin conjugation enables detection across multiple secondary systems using streptavidin conjugated to various reporters (HRP, fluorophores, gold particles)

  • Reduced background in multi-labeling experiments: Particularly valuable when performing co-localization studies with multiple primary antibodies from the same host species

  • Versatility in complex tissues: Enhanced penetration and detection in tissues with high autofluorescence or endogenous peroxidase activity

For applications requiring enhanced sensitivity, such as detecting low PSAT1 expression in early-stage cancer samples or following knockdown experiments, biotin-conjugated antibodies can provide significantly improved detection thresholds compared to unconjugated versions .

What is the optimal protocol for using biotin-conjugated PSAT1 antibodies in immunohistochemistry of paraffin-embedded tissues?

The optimal protocol for using biotin-conjugated PSAT1 antibodies in FFPE tissues requires careful consideration of several methodological factors:

  • Antigen retrieval optimization: Based on available data for PSAT1 antibodies, TE buffer at pH 9.0 is recommended, though citrate buffer at pH 6.0 may be used as an alternative

  • Blocking endogenous biotin: Critical step often overlooked - use avidin/biotin blocking kit before antibody application

  • Titration of primary antibody: Start with dilutions between 1:100-1:500 based on comparable PSAT1 antibodies

  • Extended incubation: For optimal sensitivity, incubate overnight at 4°C rather than shorter incubations at room temperature

  • Detection system selection: Use streptavidin-HRP or streptavidin-AP systems, avoiding ABC (avidin-biotin complex) methods which may increase background

  • Counterstaining optimization: Adjust hematoxylin timing to maintain nuclear detail without obscuring cytoplasmic PSAT1 staining

This approach has been validated for detecting PSAT1 in human lung cancer and breast cancer tissues , with particular attention to preventing non-specific binding in stromal regions that might confound interpretation of epithelial-mesenchymal transition studies.

How should researchers optimize western blotting protocols for biotin-conjugated PSAT1 antibodies?

Optimizing western blotting protocols for biotin-conjugated PSAT1 antibodies requires specific adjustments:

  • Sample preparation considerations:

    • Include phosphatase inhibitors in lysis buffer to preserve phosphorylation states

    • Heat samples at 70°C rather than 95°C to prevent potential aggregation of PSAT1

  • Gel percentage and transfer parameters:

    • Use 10-12% polyacrylamide gels for optimal resolution around the 37-40 kDa range

    • Semi-dry transfer at 15V for 30 minutes typically provides efficient transfer of PSAT1

  • Blocking and antibody incubation:

    • Use casein-based blockers rather than BSA to reduce biotin background

    • Dilute biotin-conjugated primary antibody to 1:1000-1:3000

    • Incubate with streptavidin-HRP at 1:5000-1:10000

  • Signal development considerations:

    • Enhanced chemiluminescence detection with extended exposure times (1-5 minutes)

    • For quantitative analysis, ensure linear range of detection is maintained

This methodology has been successfully employed with various PSAT1 antibodies in HeLa, HEK-293, A549, and K-562 cell lines, as well as mouse and rat brain tissues .

What controls are essential when validating a biotin-conjugated PSAT1 antibody for research applications?

Comprehensive validation of a biotin-conjugated PSAT1 antibody requires multiple control strategies:

  • Positive controls:

    • Cell lines with confirmed PSAT1 expression (HeLa, HEK-293, A549)

    • Tissue samples with known PSAT1 expression (lung cancer, breast cancer tissues)

    • Recombinant PSAT1 protein as a standard

  • Negative controls:

    • PSAT1 knockout or knockdown samples (KO validated antibodies are available)

    • Tissues known to express minimal PSAT1

    • Secondary-only controls to assess streptavidin binding to endogenous biotin

  • Specificity controls:

    • Pre-absorption with immunizing peptide (where available)

    • Comparison with non-biotinylated PSAT1 antibody results

    • Parallel testing with PSAT1 antibodies targeting different epitopes

  • Technical controls:

    • Endogenous biotin blocking efficiency assessment

    • Loading controls appropriate for the experimental context

    • Signal linearity assessment across a concentration gradient

Properly implemented controls are essential for distinguishing genuine PSAT1 signals from artifacts, particularly in complex samples where endogenous biotin may be present at variable levels.

How can biotin-conjugated PSAT1 antibodies be used to investigate the role of PSAT1 in epithelial-mesenchymal transition in cancer?

Biotin-conjugated PSAT1 antibodies offer several sophisticated approaches for investigating PSAT1's role in EMT:

  • Multiplex immunofluorescence co-localization studies:

    • Simultaneous detection of PSAT1 with EMT markers (E-cadherin, vimentin, N-cadherin)

    • Analysis of subcellular relocalization during transition states

    • Quantitative assessment of co-localization coefficients during EMT progression

  • Chromatin immunoprecipitation (ChIP) applications:

    • Using biotin-conjugated PSAT1 antibodies to identify potential chromatin associations

    • Investigation of PSAT1's potential role in transcriptional regulation of EMT-related genes

  • Proximity ligation assays:

    • Detection of PSAT1 interactions with PI3K/AKT pathway components

    • Quantification of protein-protein interaction dynamics during EMT

  • In vivo imaging applications:

    • Near-infrared fluorophore-conjugated streptavidin for in vivo tracking

    • Monitoring therapy response through PSAT1 expression changes

Recent findings indicate that PSAT1 regulates EMT in colorectal cancer through the PI3K/AKT signaling pathway , suggesting these approaches could elucidate the molecular mechanisms by which PSAT1 influences cancer metastasis. The biotin-streptavidin system's signal amplification properties are particularly valuable when detecting subtle changes in protein interactions during early phases of EMT.

What methodological approaches can resolve contradictory data on PSAT1 expression patterns in different cancer types?

Resolving contradictory data on PSAT1 expression requires systematic methodological approaches:

  • Antibody epitope mapping and validation:

    • Compare results from antibodies targeting different PSAT1 regions (N-term, internal, C-term)

    • Validate each antibody against knockout controls

    • Assess potential isoform-specific recognition patterns

  • Multi-platform expression analysis:

    • Correlate protein detection (IHC/WB) with mRNA expression (RT-qPCR, RNA-seq)

    • Employ absolute quantification methods (MS-based proteomics)

    • Distinguish between total protein levels and enzymatically active PSAT1

  • Context-dependent analysis:

    • Evaluate PSAT1 expression across tumor microenvironmental gradients

    • Consider metabolic state influences on expression patterns

    • Assess potential post-translational regulation mechanisms

  • Standardized reporting framework:

    • Document complete methodology including epitope information

    • Report quantitative metrics rather than subjective assessments

    • Include both positive and negative control data

The contradictory findings regarding PSAT1 upregulation versus downregulation in colorectal cancer highlight the importance of these approaches. Advanced immunohistochemical analysis combined with digital pathology quantification can help differentiate genuine biological variance from technical artifacts.

How can researchers design experiments to investigate PSAT1's enzymatic activity in relation to its protein expression levels?

Designing experiments to correlate PSAT1 enzymatic activity with expression levels requires sophisticated methodological approaches:

  • Parallel activity and expression measurements:

    • Spectrophotometric enzyme activity assays measuring phosphoserine production

    • Quantitative western blotting with biotin-conjugated PSAT1 antibodies

    • Activity-to-expression ratio calculations for different experimental conditions

  • Subcellular fractionation studies:

    • Isolation of mitochondrial, cytosolic, and nuclear fractions

    • Assessment of compartment-specific PSAT1 activity versus expression

    • Correlation with metabolic intermediates in each fraction

  • Structure-function analyses:

    • Site-directed mutagenesis of catalytic residues

    • Expression of mutants with biotin-tagged antibody detection

    • Activity assays correlated with expression levels

  • In situ activity assessment:

    • Metabolic labeling with stable isotopes

    • Correlation with PSAT1 protein localization via biotin-conjugated antibodies

    • Single-cell resolution of activity-expression relationships

Recent research suggests PSAT1's role in cancer progression may involve both enzymatic and non-enzymatic functions , making these correlation studies essential for distinguishing pathway-specific mechanisms of action in different cellular contexts.

What are the most common sources of false positives when using biotin-conjugated PSAT1 antibodies and how can they be mitigated?

Common sources of false positives with biotin-conjugated PSAT1 antibodies include:

  • Endogenous biotin interference:

    • Problem: Tissues with high endogenous biotin (liver, kidney, brain) show non-specific signals

    • Solution: Implement avidin/biotin blocking steps before antibody application

    • Validation: Include streptavidin-only controls without primary antibody

  • Cross-reactivity with related aminotransferases:

    • Problem: Some PSAT1 antibodies may cross-react with related family members

    • Solution: Validate with PSAT1 knockout samples or siRNA knockdown

    • Validation: Compare staining patterns with antibodies targeting different epitopes

  • Biotin amplification system oversaturation:

    • Problem: Excessive signal amplification creating diffuse positivity

    • Solution: Titrate streptavidin conjugates and reduce development times

    • Validation: Establish signal linearity with dilution series

  • Post-fixation artifacts:

    • Problem: Extended fixation can create artifactual biotin-mimicking epitopes

    • Solution: Standardize fixation times and validate with fresh-frozen samples

    • Validation: Compare multiple fixation protocols

Each laboratory should establish an empirical validation pipeline addressing these potential issues, particularly when examining tissues known to contain high levels of endogenous biotin or biotin-dependent carboxylases that might create background signals.

How should researchers analyze and interpret PSAT1 subcellular localization data from immunofluorescence studies?

Rigorous analysis and interpretation of PSAT1 subcellular localization requires a systematic approach:

  • Quantitative co-localization analysis:

    • Calculate Pearson's correlation coefficients with organelle markers

    • Determine Manders' overlap coefficients for partial co-localization

    • Employ intensity correlation analysis for relationship strength

  • Morphological context considerations:

    • Distinguish between diffuse cytoplasmic and punctate patterns

    • Assess nuclear/cytoplasmic distribution ratios

    • Evaluate perinuclear enrichment patterns quantitatively

  • Dynamic localization assessment:

    • Analyze temporal changes following stimulation or inhibition

    • Correlate localization shifts with functional outcomes

    • Implement live-cell imaging with compatible tags when possible

  • Technical considerations in interpretation:

    • Account for fixation-dependent artifacts (methanol vs. paraformaldehyde)

    • Consider optical sectioning thickness in apparent co-localization

    • Implement super-resolution techniques for definitive co-localization

Published data demonstrate that PSAT1 localization can be effectively studied in HepG2 cells and various cancer cell lines using immunofluorescence . The relationship between PSAT1 localization and EMT status in colorectal cancer can be particularly informative when analyzed using these quantitative approaches.

What experimental approaches can help distinguish specific versus non-specific binding when validating novel biotin-conjugated PSAT1 antibodies?

Distinguishing specific from non-specific binding requires multiple experimental approaches:

  • Competitive binding assays:

    • Pre-incubation with unlabeled antibody at increasing concentrations

    • Titration with recombinant PSAT1 protein as a competitor

    • Dose-dependent displacement curves for quantitative assessment

  • Cross-validation with orthogonal detection methods:

    • Correlation with mRNA expression levels across sample panels

    • Comparison with mass spectrometry-based protein quantification

    • Validation against CRISPR knockout cell lines

  • Epitope-specific validation:

    • Testing against synthetic peptide arrays covering PSAT1 sequence

    • Mutational analysis of predicted epitope regions

    • Comparison with antibodies targeting distinct PSAT1 epitopes

  • Signal characteristics analysis:

    • Assessment of signal-to-noise ratios across dilution series

    • Evaluation of staining pattern consistency across diverse samples

    • Comparison of subcellular localization patterns with known biology

These approaches should be implemented in a progressive validation pipeline, starting with basic specificity controls and advancing to more sophisticated analyses. Comparative analysis across multiple antibodies can provide particularly strong evidence for binding specificity when concordant results are obtained.

Table 1: Comparison of PSAT1 Antibodies Mentioned in Research Literature

ParameterABIN743564620180-1-APNBP2-19973A06277
Host/TypeRabbit PolyclonalRabbit PolyclonalRabbit PolyclonalRabbit Polyclonal
Target EpitopeAA 1-312Not specifiedNot specifiedM1-K363
Validated ApplicationsWB, IHC, ICC, IPWB, IP, IHC, IF/ICC, ELISAICC/IF, IHC, IHC-P, WBELISA, Flow, IF, ICC, WB
ReactivityHuman, Mouse, Pig, RatHuman, Mouse, RatNot specifiedHuman, Mouse, Rat
Working Dilutions (WB)Not specified1:1000-1:80001:500-1:3000Not specified
Working Dilutions (IHC)Not specified1:50-1:50010-1:500Not specified
ImmunogenMet1~Ala312PSAT1 fusion proteinNot specifiedM1-K363
PurificationAffinity chromatographyAntigen affinityAntigen AffinityNot specified
Storage BufferNot specifiedPBS with 0.02% sodium azide, 50% glycerol0.1M Tris, 0.1M Glycine, 20% GlycerolContains Trehalose
Notable FeaturesCross-reactivity with multiple speciesExtensively validated in publicationsBSA Free formulationPremium "Picoband" quality

How should researchers select between different PSAT1 antibodies for specific experimental objectives?

Selection between different PSAT1 antibodies should be guided by a systematic decision framework based on experimental objectives:

  • For studies focused on protein-protein interactions:

    • Select antibodies with epitopes outside predicted interaction domains

    • Consider antibodies validated for immunoprecipitation applications

    • Review cross-reactivity profiles if studying conserved interactions across species

  • For quantitative expression analyses:

    • Choose antibodies with validated linear detection ranges

    • Select formulations with demonstrated lot-to-lot consistency

    • Consider antibodies validated against knockout controls

  • For localization studies:

    • Prioritize antibodies validated for immunofluorescence/IHC applications

    • Select antibodies with minimal background in intended tissues

    • Consider epitope accessibility in fixed/embedded conditions

  • For functional studies:

    • Select antibodies that don't interfere with enzymatic activity

    • Choose epitopes outside functional domains if passive detection is required

    • Consider neutralizing antibodies if pathway inhibition is desired

The comprehensive validation data available for antibody 20180-1-AP makes it particularly suitable for complex applications, while the BSA-free formulation of NBP2-19973 may offer advantages in sensitive detection systems prone to carrier protein interference.

This systematic selection process should be documented in research protocols to facilitate reproducibility and appropriate interpretation of results across different experimental systems.

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