PXN Antibody, FITC conjugated

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Description

Introduction to PXN Antibody, FITC Conjugated

Paxillin (PXN) is a 64 kDa cytoskeletal adapter protein critical for actin-membrane attachment at focal adhesions, influencing cell adhesion, migration, and signaling . The PXN antibody conjugated with Fluorescein Isothiocyanate (FITC) combines this specificity with a fluorochrome that emits yellow-green light (excitation/emission peaks: ~495 nm/525 nm) . This conjugate enables direct detection of Paxillin in live or fixed cells, bypassing secondary antibody steps in techniques like immunofluorescence (IF) and flow cytometry .

Immunofluorescence (IF)

  • Protocol: Cells fixed with 4% paraformaldehyde, permeabilized with 0.1% Triton X-100, blocked with 10% serum, and incubated with 1–5 µg/mL FITC-conjugated PXN antibody .

  • Example: Detection of cytoplasmic Paxillin in HeLa cells with punctuated staining patterns .

Western Blot (WB)

  • Dilution: 1:300–5,000 in 5% milk/TBST .

  • Validation: Detects ~66 kDa band in lysates from A549 and HeLa cells .

Flow Cytometry (FCM)

  • Staining: Fixed/permeabilized A549 cells labeled with 1 µg/1×10⁶ cells, analyzed via FITC filter .

Immunohistochemistry (IHC)

  • Tissue Types: Human lung cancer, breast cancer, and rat kidney sections .

  • Antigen Retrieval: EDTA buffer (pH 8.0) or enzymatic methods .

Research Findings and Case Studies

  • Cancer Research: Overexpression of Paxillin correlates with metastatic potential in lung and breast carcinomas. FITC-conjugated PXN antibody localized Paxillin at focal adhesions in tumor tissues .

  • Mechanistic Studies: siRNA knockdown of integrins disrupted Paxillin recruitment in MDCK cells, visualized via FITC labeling .

  • Artifact Mitigation: Excessive FITC labeling (>4 molecules/antibody) reduced binding affinity by 30% and increased nonspecific staining .

Quality Control and Optimization Parameters

  • F/P Ratio: Target 2–4 FITC molecules per IgG for balanced signal-to-noise .

  • Storage: Protect from light at -20°C in 40–50% glycerol; avoid repeated freeze-thaw cycles .

  • Validation: Include isotype controls and quenching experiments (e.g., pre-incubation with unlabeled antibody) to confirm specificity .

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 receipt. Delivery timelines may vary depending on your location and the chosen delivery method. Please contact your local distributor for specific delivery time estimates.
Synonyms
FLJ16691 antibody; FLJ23042 antibody; Paired box protein Pax 1 antibody; PAX 1 antibody; PAX1 antibody; PAXI_HUMAN antibody; Paxillin alpha antibody; Paxillin antibody; PXN antibody; PXN protein antibody
Target Names
PXN
Uniprot No.

Target Background

Function
Paxillin (PXN) is a cytoskeletal protein that plays a crucial role in mediating the attachment of actin filaments to cell membranes at focal adhesion sites. These sites are essential for cell adhesion to the extracellular matrix (ECM).
Gene References Into Functions
  1. Research indicates that FGFR3 mutations found in patients with SADDAN (Severe Achondroplasia with Developmental Delay and Acanthosis Nigricans) but not those found in patients with TDII (Thanatophoric Dysplasia type II) impact cytoskeletal organization in chondrocytes. This effect is attributed to the induction of tyrosine hyperphosphorylation of paxillin. PMID: 29242050
  2. Studies have demonstrated that overexpression of Paxillin significantly reduces tumor volume in colorectal cancer. Conversely, miR-24, which is overexpressed in natural killer cells, inhibits paxillin expression. PMID: 29494963
  3. XIST has been shown to positively regulate PXN levels by acting as a sponge for miR-137 both in vitro and in vivo. These findings shed light on the intricate relationship between XIST, miR-137, and PXN, potentially offering therapeutic avenues for non-small cell lung cancer. PMID: 29337100
  4. Frequent overexpression of PXN in cervical cancer has been linked to advanced tumor stage, poor differentiation, metastasis, and unfavorable prognostic outcomes. PMID: 29318915
  5. Kindlin, a protein involved in cell adhesion, supports platelet GPIIB IIIA activation by interacting with paxillin. PMID: 28954813
  6. Analysis of paraffin specimens from GBM (glioblastoma multiforme) patients revealed that paxillin expression was detected in a significant portion of the samples. Considering the critical role of the leading edge in cancer cell migration, this finding suggests that NA (N-acetylcysteine) treatment may hold therapeutic potential for malignant glioma. PMID: 28656206
  7. Pxn binding to the cytoplasmic tail of CD103, an integrin involved in immune cell function, triggers alphaEbeta7 integrin outside-in signaling. This signaling pathway promotes CD8(+) T-cell migratory behavior and effector functions. PMID: 29021139
  8. A comprehensive review of the functions of paxillin in pathological conditions, particularly in cell migration, has been published. PMID: 28214467
  9. Research has shown that frequent overexpression of PXN in glioma is associated with tumor progression and suggests a potential therapeutic target. PMID: 27637748
  10. The MBNL3 splicing factor promotes hepatocellular carcinoma by increasing paxillin expression through the alternative splicing of lncRNA-PXN-AS1. PMID: 28553938
  11. Data suggest that paxillin appears to influence major cell functions across a range of prostate and breast cancer models. Cellular responsiveness to environmental factors, such as HGF (hepatocyte growth factor) or BME (basement membrane extract), may be influenced by paxillin status, although this appears to be cell type-dependent. PMID: 28739717
  12. The role of paxillin in the aging process of skin cells has been reviewed. PMID: 27708212
  13. Interactions between Cat-1 (catalase) and its binding partner paxillin are essential for sufficient Akt activation, enabling cancer cells to grow under anchorage-independent conditions. PMID: 28100775
  14. Findings have demonstrated that the anticancer effect of docetaxel induces apoptosis in prostate cancer cells by suppressing the cofilin1 and paxillin signaling pathways. This mechanism could contribute to the development of clinical treatments for prostate cancer. PMID: 27035282
  15. Analysis revealed that PXN positivity was significantly higher in colorectal adenocarcinoma samples and correlated with TNM stage, distant metastasis, recurrence, and cetuximab resistance. PMID: 26530439
  16. Targeting GD3-mediated growth signaling pathways with siRNAs may offer a novel and promising therapeutic approach against malignant melanomas, particularly in cases with significant expression of signaling molecules such as p130Cas and paxillin. PMID: 27068854
  17. Research suggests that PXN expression holds potential as a novel biomarker for laryngeal squamous cell carcinoma patients and could serve as an independent predictive factor for prognosis. PMID: 26464671
  18. A detailed analysis of the mode of action of functionally important regions within the intrinsically disordered paxillin protein has been published. PMID: 26928467
  19. Paxillin was found to be expressed at significantly higher levels in colorectal cancer tissues and may serve as a potential prognostic indicator for patients with this type of cancer. PMID: 26159303
  20. Data suggest that miR-145 plays a pivotal role in colon cancer by inhibiting cell proliferation, migration, and invasion. This microRNA may act as a tumor suppressor by targeting the paxillin gene. PMID: 25973017
  21. In colorectal cancers, PXN showed a positive correlation with the expression of Bcl-2, pBcl-2-S87, and MMP2. PXN promotes phosphorylation of Bcl-2 at serine 87 via ERK activation, increases xenograft tumor formation, and is associated with poor patient outcomes. PMID: 25826088
  22. Paxillin-mediated stabilization of Bcl-2 confers resistance to 5-fluorouracil, a commonly used chemotherapy drug, in colorectal cancer. PMID: 25323586
  23. Fascin-1 and paxillin were expressed in a significant proportion of infiltrating duct carcinoma cases. A strong correlation was observed between the expression of these proteins and tumor grade, clinical stage, lymph-node metastasis grade, and HER2 expression. PMID: 26349603
  24. Research suggests that upregulation and phosphorylation of paxillin play a significant role in vascular remodeling, which underlies pulmonary hypertension. PMID: 25231004
  25. During early cell spreading, DLC1 (deleted in liver cancer 1) is preferentially localized at mature adhesions, while phosphorylated paxillin occupies nascent focal adhesions. Additionally, DLC1 downregulates paxillin turnover. PMID: 25448629
  26. The expression levels of Wnt5a, p-JNK1 (phosphorylated c-Jun N-terminal kinase 1), and p-paxillin in tumor tissues were found to be correlated. PMID: 24395444
  27. LPS (lipopolysaccharide)-induced phosphorylation of paxillin at Y31 and Y118 is mediated by the c-Abl tyrosine kinase. PMID: 25795725
  28. This chapter provides an overview of recent advances in understanding how paxillin regulates both steroid and growth factor signaling. It emphasizes the conserved nature of paxillin's actions across diverse species, from frog germ cells to human cancer cells. PMID: 25182764
  29. Study findings provide evidence that phosphorylation of PXN is required for cisplatin resistance in lung cancer cells. PMID: 24096476
  30. High PXN expression is associated with oral cavity squamous cell carcinoma. PMID: 24894864
  31. Paxillin may promote cell proliferation and inhibit apoptosis in SW480 cells. It has been identified as a potential metastasis predictor and an independent prognostic factor for recurrence. PMID: 24451945
  32. MEKK2 (mitogen-activated protein kinase kinase kinase 2) induces paxillin ubiquitylation in breast cancer cells, a process that requires both the paxillin LD1 motif and MEKK2 kinase activity. PMID: 25190348
  33. Paxillin knockdown enhances capillary endothelial cell migration and invasiveness, leading to increased microvessel ingrowth by suppressing NRP2 (neuropilin-2) expression. PMID: 24522185
  34. Through HDAC6 (histone deacetylase 6)-dependent regulation of the microtubule cytoskeleton, paxillin controls both Golgi organelle integrity and polarized cell invasion. PMID: 25070956
  35. PXN plays a significant role in tumor progression and may serve as a potential prognostic indicator in gastric cancer. PMID: 24180516
  36. Further research is needed to explore the relationship between TG-2 (tissue transglutaminase 2) and paxillin, aiming to elucidate this fundamental process in cell matrix adhesion signaling. PMID: 24193434
  37. Data indicate that mutant PXN variants play a crucial role in mitochondrial dynamics, with direct implications for lung cancer progression. PMID: 23792636
  38. In aneuploid tumors, EZH2 (enhancer of zeste homolog 2) expression and paxillin expression correlate with a more aggressive phenotype in breast cancer. PMID: 24344012
  39. Ezrin and paxillin may contribute to aggressive tumor features and invasiveness in urothelial bladder tumors. PMID: 21868260
  40. Paxillin plays crucial roles in cell motility by regulating the dynamics of focal adhesions. PMID: 22481092
  41. Lysophosphatidic acid (LPA) induces both time- and dose-dependent tyrosine phosphorylation of paxillin and focal adhesion kinase. PMID: 24061591
  42. Paxillin signaling contributes to tumor growth and vasculogenic mimicry, a process where tumor cells form vessel-like structures, in gallbladder carcinomas. PMID: 23588386
  43. Mutation of paxillin serine 250 prevents its phosphorylation by SLK (Ste20-like kinase) in vitro and results in impaired migration in vivo. This impairment is associated with an accumulation of phospho-FAK-Tyr397 and altered FA (focal adhesion) turnover rates. PMID: 23128389
  44. Data indicate that lasp-2 (LIM and SH3 domain protein 2) interacts with the focal adhesion proteins vinculin and paxillin. PMID: 23389630
  45. Overexpression of PXN induced by suppression of miR-137 promotes tumor progression and metastasis and could serve as an independent prognostic indicator in colorectal cancer patients. PMID: 23275153
  46. Paxillin is critical for integrating physical cues from the ECM with chemical motility signals by spatially constraining where cells form motile processes, thereby regulating directional migration. PMID: 23076140
  47. Fascin-1, ezrin, and paxillin contribute to the malignant progression and are predictors of clinical prognosis in laryngeal squamous cell carcinoma. PMID: 23209815
  48. Paxillin is a newly identified regulator protein of pulmonary arterial smooth muscle cell growth. PMID: 22959909
  49. Phosphorylation of GIT1 (G protein-coupled receptor kinase-interacting protein 1) on serine 46 by PKD3 (protein kinase D3) acts as a molecular switch that regulates GIT1 localization, paxillin trafficking, and cellular protrusive activity. PMID: 22893698
  50. Findings suggest that the MLK3-JNK-paxillin signaling axis may represent a potential prognostic marker for breast cancer metastasis. PMID: 22700880

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Database Links

HGNC: 9718

OMIM: 602505

KEGG: hsa:5829

STRING: 9606.ENSP00000228307

UniGene: Hs.446336

Protein Families
Paxillin family
Subcellular Location
Cytoplasm, cytoskeleton. Cell junction, focal adhesion. Cytoplasm, cell cortex.

Q&A

What is Paxillin (PXN) and why is it important in cellular research?

Paxillin is a 64 kDa cytoskeletal adapter protein that plays a crucial role in organizing and maintaining focal adhesions, which are essential structures for cell adhesion and migration. The biological significance of Paxillin extends to numerous physiological and pathological processes including embryogenesis, organogenesis, wound repair, inflammation, and cancer development .

At the molecular level, Paxillin contains specialized domains that facilitate protein-protein interactions, including:

  • LD motifs

  • LIM domains

  • SH3 and SH2 binding domains

These structural elements serve as docking sites for cytoskeletal proteins, tyrosine kinases (including FAK, Pyk 2, Src), serine/threonine kinases, GTPase activating proteins, and other adapter proteins such as Actin, Vinculin, and Crk . This extensive interaction network positions Paxillin as a central hub in cellular signaling related to adhesion dynamics.

Paxillin expression has been documented across diverse tissues including:

Tissue TypeEvidence Source
Brain and TestisPubMed ID: 15489334
Cervix CarcinomaPubMed ID: 16964243, 18220336, 18669648
Fetal KidneyPubMed ID: 17974005
Leukemic T-cellsPubMed ID: 19690332
LiverPubMed ID: 24275569
PlacentaPubMed ID: 9054445, 14702039

What applications are most suitable for PXN Antibody, FITC conjugated?

FITC-conjugated PXN antibodies have been validated for multiple research applications, with varying dilution recommendations for optimal results :

ApplicationRecommended DilutionKey Considerations
Western Blotting (WB)1:300-5000Good for protein expression quantification
Flow Cytometry (FCM)1:20-100Effective for single-cell analysis
Immunofluorescence (IHC-P)1:50-200For tissue section visualization
Immunofluorescence (IHC-F)1:50-200For frozen tissue analysis
Immunocytochemistry (ICC)1:50-200For cultured cell visualization

The FITC conjugation offers distinct advantages, including direct visualization without secondary antibodies, which can simplify multi-labeling experimental designs. The excitation/emission profile (499/515 nm) is compatible with standard 488 nm laser lines available in most flow cytometers and fluorescence microscopes .

What are the recommended protocols for using PXN Antibody, FITC conjugated in immunofluorescence studies?

Successful immunofluorescence detection of Paxillin requires attention to several methodological details. Based on validated protocols, the following step-by-step approach is recommended:

For Paraffin-Embedded Tissue Sections:

  • Perform heat-mediated antigen retrieval in EDTA buffer (pH 8.0)

  • Block tissue sections with 10% goat serum to minimize non-specific binding

  • Incubate with PXN antibody (2-5 μg/ml) overnight at 4°C

  • Wash thoroughly with appropriate buffer

  • For directly conjugated FITC-PXN antibodies, proceed directly to counterstaining

  • Counterstain nuclei with DAPI

  • Mount and analyze using appropriate filter sets (excitation ~499 nm, emission ~515 nm)

For Cultured Cells:

  • Fix cells with 4% paraformaldehyde

  • Permeabilize with appropriate buffer (critical for accessing intracellular Paxillin)

  • Block with 10% normal goat serum

  • Incubate with FITC-conjugated PXN antibody (optimal concentration determined experimentally)

  • Counterstain nuclei with DAPI

  • Mount and visualize using a fluorescence microscope with appropriate filters

For enzyme-based antigen retrieval, some protocols recommend IHC enzyme antigen retrieval reagent treatment for 15 minutes as an alternative to heat-mediated retrieval .

How should PXN Antibody, FITC conjugated be stored to maintain optimal activity?

Proper storage of FITC-conjugated PXN antibodies is essential for maintaining both antibody functionality and fluorescence intensity. The research literature recommends the following storage practices:

Storage ConditionRecommendationPurpose
Long-term storage-20°CMaintains antibody integrity
After reconstitution4°C for up to one monthFor frequent use
Extended storageAliquot and store at -20°CPrevents freeze-thaw damage
AvoidRepeated freeze-thaw cyclesPrevents protein denaturation
Buffer componentsOften contains 50% glycerolActs as cryoprotectant

Most commercial preparations contain stabilizing components such as:

  • 0.01M TBS or PBS (pH 7.4)

  • 1% BSA (though BSA-free formulations are available upon request)

  • 0.03% Proclin300 (preservative)

  • 50% Glycerol (cryoprotectant)

It is important to note that some researchers may require BSA-free formulations for specific applications, which can often be specially prepared upon request from manufacturers .

What controls should be included when using PXN Antibody, FITC conjugated?

Rigorous experimental design requires appropriate controls to validate findings and ensure specificity. When using FITC-conjugated PXN antibodies, the following controls should be considered:

  • Isotype Controls:

    • Include the appropriate isotype control antibody (e.g., rabbit IgG for rabbit-derived PXN antibodies)

    • Use at the same concentration as the experimental antibody

    • Helps distinguish specific staining from Fc receptor binding or other non-specific interactions

  • Negative Controls:

    • Unstained samples (no primary or secondary antibody)

    • Primary antibody omission (secondary only)

    • These controls help establish background fluorescence levels

  • Positive Controls:

    • Tissues or cell lines with known PXN expression (e.g., MDA-MB-231, A549, MCF-7 cells)

    • Helps validate the antibody's ability to detect the target

  • Fluorescence Controls:

    • Single-color controls for compensation in multicolor flow cytometry

    • Autofluorescence controls, particularly important for tissues with high intrinsic fluorescence

  • Specificity Validation:

    • Peptide competition assays may be used where the immunizing peptide blocks specific binding

    • Correlate staining pattern with known subcellular localization (cytoplasm, focal adhesions)

How can pH affect PXN antibody binding and what methodological adaptations should be considered?

The pH microenvironment can significantly impact antibody-antigen interactions, particularly in the context of tumor biology research. As demonstrated in several studies, pH-dependent effects warrant careful methodological consideration:

One study utilized pH-sensitive conjugates to exploit the acidic microenvironment of solid tumors, observing:

  • Enhanced antibody recruitment at pH 6.0 compared to pH 7.4

  • pH-dependent increase in fluorescence levels

  • Significant changes in cellular binding properties based on pH conditions

These findings suggest several methodological implications for researchers:

  • Buffer Optimization:

    • Buffer pH should be carefully controlled and reported

    • Effects of pH variation should be tested during protocol optimization

    • Consider pH as a variable in experimental design rather than a constant

  • Cancer Research Applications:

    • The acidic microenvironment of tumors may alter antibody binding characteristics

    • pH-dependent conjugates might be leveraged for selective targeting

    • Comparison between normal and tumor tissue may require pH considerations

  • Signal Interpretation:

    • Changes in signal intensity across pH ranges may reflect biological phenomena rather than technical issues

    • Quantitative analyses should account for potential pH effects

    • Validation across multiple pH conditions may strengthen findings

What strategies can optimize dual-labeling experiments using FITC-conjugated PXN antibodies?

Dual-labeling experiments present unique challenges that require careful optimization. For FITC-conjugated PXN antibodies, consider these advanced strategies:

  • Spectral Compatibility Planning:

FluorophoreExcitation (nm)Emission (nm)Compatible with FITC?
FITC499515-
Cy3550570Yes
Alexa Fluor 594590617Yes
Cy5649670Yes
DAPI358461Yes
  • Sequential Labeling Approach:

    • Complete PXN-FITC staining first

    • Block remaining binding sites with excess IgG

    • Proceed with second primary antibody from a different host species

    • Use spectrally distinct secondary antibody for second primary

  • Signal Amplification Options:

    • For weak FITC signals, employ anti-FITC antibodies for signal amplification

    • Utilize biotin-streptavidin systems with non-FITC fluorophores

    • This approach is particularly useful when examining focal adhesions in thick tissue sections

  • Anti-FITC Antibody Applications:

    • Anti-FITC antibodies can be useful in double-labeling experimental designs

    • They can amplify FITC signals when necessary

    • These antibodies help validate successful FITC conjugation

  • Cross-Reactivity Mitigation:

    • Test antibodies individually before combining

    • Use highly cross-adsorbed secondary antibodies

    • Include appropriate blocking steps to minimize non-specific binding

How does fixation method affect epitope recognition by PXN antibody in different sample types?

Fixation methodology can significantly impact epitope accessibility and recognition by PXN antibodies. This consideration becomes particularly important when comparing results across different experimental systems:

  • Paraformaldehyde Fixation Effects:

    • 4% paraformaldehyde is commonly used for cell fixation

    • PFA should be freshly prepared as long-term stored PFA forms formaldehyde polymers

    • PFA offers better tissue penetration compared to some alternatives

    • Overfixation may mask epitopes, while underfixation may compromise morphology

  • Antigen Retrieval Requirements:

Sample TypeRecommended Retrieval MethodProtocol Details
FFPE TissueHeat-mediated in EDTA bufferpH 8.0, epitope retrieval solution
Frozen TissueTypically less retrieval neededGentle fixation preferred
Cultured CellsMild retrieval or permeabilizationOften sufficient
  • Cell Type Considerations:

    • Different cell lines may require optimization of fixation conditions

    • Successful staining has been reported in diverse cell types including:

      • Epithelial: MDA-MB-231, A549, MCF-7, HeLa

      • Other: PC-3 (prostate cancer)

    • This suggests broad applicability across cell types but may require fine-tuning

  • Enzyme-Based Alternatives:

    • Some protocols utilize enzyme antigen retrieval reagents (15 mins treatment)

    • This approach represents an alternative to heat-mediated retrieval

    • May be gentler for certain sensitive epitopes

  • Correlation with Detection Method:

    • Flow cytometry typically requires robust permeabilization

    • Microscopy applications may need to balance permeabilization with morphological preservation

    • Western blotting requires complete protein denaturation

What technical considerations are important when analyzing PXN expression in cancer research using FITC-conjugated antibodies?

Cancer research presents unique challenges for PXN analysis due to complex microenvironments and altered protein expression patterns. Several technical considerations should be addressed:

  • pH-Dependent Cancer Cell Targeting:
    Research has demonstrated that the acidic microenvironment of solid tumors can be exploited for selective antibody recruitment. When designing cancer-focused PXN studies:

    • Consider pH as an experimental variable (pH 6.0 vs. pH 7.4)

    • Evaluate potential pH-dependent changes in antibody binding

    • Design controls that account for microenvironmental differences

  • Cancer-Specific Expression Analysis:
    PXN has been successfully detected in multiple cancer types including:

    • Breast cancer

    • Lung cancer

    • Thyroid papillary carcinoma

    • Laryngeal carcinoma

    • Hashimoto thyroiditis

  • Functional Assessment Approaches:
    Beyond simple detection, advanced cancer research may examine functional aspects of PXN:

    • Cell lysis assays can assess antibody-dependent cellular cytotoxicity

    • Complement-dependent cytotoxicity studies

    • Correlation with migration and invasion phenotypes

  • Technical Optimization Considerations:

    • FITC signal can be affected by the tumor microenvironment (pH, metabolites)

    • Autofluorescence is often elevated in cancer tissues

    • Signal-to-noise optimization may require additional blocking steps

    • Cross-validation with non-fluorescent detection methods is advisable

  • Quantitative Analysis Parameters:

    • Flow cytometry can provide quantitative assessment of PXN expression levels

    • Consider using mean fluorescence intensity (MFI) rather than percent positive

    • Include multiple reference cell lines for comparative analysis

How can researchers troubleshoot common issues when using PXN antibody, FITC conjugated in flow cytometry?

Flow cytometry with FITC-conjugated PXN antibodies presents unique challenges requiring specific troubleshooting approaches:

  • Weak Signal Intensity:

IssuePotential CauseSolution
Low signalInsufficient permeabilizationOptimize permeabilization protocol for intracellular access
Low signalSuboptimal antibody concentrationTitrate antibody (1:20-1:100 dilution range)
Low signalEpitope masking by fixationTry alternative fixation or retrieval methods
Low signalFITC quenchingProtect from light; use anti-photobleaching mounting media
  • High Background Problems:

    • Increase blocking stringency (use 10% normal serum)

    • Include proper controls (isotype control at same concentration)

    • Consider autofluorescence subtraction during analysis

    • Reduce antibody concentration if non-specific binding is observed

  • Cell Preparation Optimization:

    • For intracellular staining, proper fixation is critical (4% paraformaldehyde recommended)

    • Use appropriate permeabilization buffer compatible with cytoskeletal proteins

    • Single-cell suspensions must be prepared carefully to preserve protein epitopes

    • Standardize cell numbers (e.g., 1μg antibody per 10^6 cells)

  • Compensation Considerations:

    • FITC has potential spectral overlap with other fluorophores

    • Prepare single-color controls for compensation matrices

    • Consider alternative fluorophores if compensation is problematic

    • Use unstained controls to set basal fluorescence levels

  • Validation Approaches:

    • Compare results with immunofluorescence microscopy

    • Verify subcellular localization pattern is consistent with known biology

    • Test multiple antibody clones if available

    • Consider parallel western blot analysis to confirm specificity

How can PXN antibodies contribute to understanding focal adhesion dynamics in cancer progression?

Paxillin serves as a critical component of focal adhesions, dynamic structures that mediate cell-extracellular matrix interactions and signaling. FITC-conjugated PXN antibodies offer valuable tools for investigating these processes:

  • Metastasis Research Applications:

    • Focal adhesion turnover correlates with invasive potential

    • PXN phosphorylation status indicates activation of migration pathways

    • Quantitative analysis of focal adhesion size, number, and distribution provides insight into migration capacity

  • Recommended Methodological Approaches:

    • Live-cell imaging with FITC-PXN for temporal dynamics

    • Co-staining with other focal adhesion proteins (vinculin, FAK)

    • Correlation of PXN localization with migration front in wound healing assays

    • Quantitative image analysis of focal adhesion morphometrics

  • Interpretation Framework:

    • Increased peripheral PXN localization often indicates enhanced migration potential

    • Altered PXN phosphorylation may indicate aberrant signaling

    • Changes in focal adhesion size and turnover rate correlate with invasive capacity

    • Cytoskeletal coordination with focal adhesions reveals mechanotransduction mechanisms

What considerations are important when interpreting PXN antibody signals across different tissue types?

Tissue-specific characteristics can significantly influence both the technical aspects of staining and the biological interpretation of results:

  • Tissue-Specific Expression Patterns:
    PXN expression varies considerably across tissues, requiring contextual interpretation:

    Tissue TypeRelative ExpressionLocalization PatternFunctional Significance
    Brain/TestisVariableOften punctateSpecialized adhesions
    Cervix CarcinomaOften elevatedCytoplasmic & peripheralAssociated with invasion
    Fetal KidneyDevelopmental patternDynamic distributionMorphogenesis role
    Leukemic T-cellsContext-dependentDiffuse or clusteredImmune synapse function
    LiverGenerally moderateTypically cell bordersHepatocyte junctions
    PlacentaRelatively highComplex patternTrophoblast invasion
  • Technical Tissue-Specific Considerations:

    • Tissue autofluorescence varies dramatically (liver > kidney > brain)

    • Fixation requirements differ (brain tissue often requires gentler fixation)

    • Antigen retrieval efficacy is tissue-dependent

    • Background staining patterns vary by tissue type

  • Interpretation Guidelines:

    • Always compare to appropriate tissue-matched controls

    • Consider developmental stage when examining embryonic tissues

    • Account for tissue-specific microenvironments (pH, matrix composition)

    • Correlate with known tissue architecture and cell type distribution

    • Validate findings across multiple detection methods when possible

How can PXN antibody, FITC conjugated be utilized in high-content screening approaches?

High-content screening offers powerful approaches for analyzing cellular phenotypes at scale. FITC-conjugated PXN antibodies can be integrated into these workflows:

  • Assay Development Considerations:

    • Optimize fixation and staining protocols for automation compatibility

    • Determine appropriate cell seeding density for focal adhesion visualization

    • Establish robust image analysis pipelines for quantifying:

      • Focal adhesion number, size, and morphology

      • Cytoskeletal organization relative to focal adhesions

      • PXN phosphorylation status (using phospho-specific antibodies)

  • Multiplexing Strategies:

    • Combine FITC-PXN with spectrally distinct markers:

      • Cytoskeletal markers (actin, tubulin)

      • Other focal adhesion proteins (vinculin, FAK)

      • Cell cycle or viability indicators

    • Design compensation strategies for automated imaging platforms

    • Consider sequential staining approaches for complex panels

  • Quality Control Metrics:

    • Signal-to-background ratio optimization

    • Z'-factor calculation for assay robustness

    • Plate effects monitoring and normalization

    • Positive and negative control inclusion on each plate

    • Technical replicate consistency assessment

  • Data Analysis Frameworks:

    • Machine learning approaches for phenotypic classification

    • Multiparametric analysis of focal adhesion characteristics

    • Correlation of PXN patterns with functional outcomes

    • Population heterogeneity assessment at single-cell resolution

What methodological approaches enable successful analysis of PXN in dynamic live-cell imaging?

While fixed-cell analysis with FITC-conjugated antibodies provides valuable snapshots, understanding PXN dynamics often requires live-cell approaches. Consider these methodological strategies:

  • Complementary Approaches to Fixed-Cell Antibody Studies:

    • Generate PXN-GFP/YFP fusion proteins for live imaging

    • Validate fusion protein localization against antibody staining

    • Use photoconvertible or photoactivatable tags for pulse-chase experiments

    • Combine with fixed timepoint antibody analysis for validation

  • Technical Optimization Parameters:

    • Minimize phototoxicity through:

      • Reduced exposure times

      • Increased camera sensitivity

      • Strategic temporal sampling

      • Antifade media formulations

    • Balance temporal resolution with experiment duration

    • Maintain physiological conditions (temperature, CO2, humidity)

  • Analytical Frameworks:

    • Focal adhesion assembly/disassembly rate calculation

    • Directional persistence of migration correlation

    • Force transmission analysis using deformable substrates

    • Ratiometric analysis for protein recruitment sequences

    • Correlation of dynamics with cellular outcomes

  • Integration with Fixed Antibody Data:

    • Use live-cell dynamic data to guide optimal fixation timepoints

    • Correlate live dynamics with antibody-based molecular state assessment

    • Validate key timepoints with comprehensive antibody panels

    • Develop integrated models incorporating both approaches

How should researchers approach validation of novel applications for PXN antibody, FITC conjugated?

Developing novel applications requires systematic validation approaches. When expanding the use of FITC-conjugated PXN antibodies to new experimental systems:

  • Comprehensive Specificity Validation:

    • Genetic approaches:

      • siRNA/shRNA knockdown

      • CRISPR/Cas9 knockout

      • Overexpression systems

    • Biochemical approaches:

      • Peptide competition assays

      • Multiple antibody epitopes comparison

      • Correlation with mass spectrometry data

  • Cross-Platform Validation:

    • Western blot confirmation of specificity

    • Immunoprecipitation to verify target interaction

    • Microscopy for localization pattern assessment

    • Flow cytometry for quantitative expression analysis

    • Tissue microarray analysis for expression patterns across multiple samples

  • Experimental System Expansion:
    When applying to new experimental systems (cell types, tissues, or species):

    • Start with established positive controls

    • Systematically optimize key parameters (fixation, permeabilization, antibody concentration)

    • Document successful protocols in detail

    • Consider epitope conservation across species via sequence alignment

    • Validate with orthogonal detection methods

  • Functional Validation:

    • Correlate antibody detection with known functional outputs

    • Assess antibody interference with protein function

    • Determine if epitope recognition is affected by post-translational modifications

    • Evaluate detection in physiologically relevant contexts

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