PTPRC Antibody

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Description

Definition and Target Overview

PTPRC antibodies are immunodetection reagents designed to bind specifically to PTPRC/CD45, a leukocyte common antigen expressed on all nucleated hematopoietic cells (excluding erythrocytes and plasma cells) . The canonical human PTPRC protein has a molecular weight of 147.5 kDa (unmodified) but ranges from 180–220 kDa due to glycosylation . It functions as a tyrosine phosphatase, modulating immune cell activation by dephosphorylating signaling molecules like Src family kinases (e.g., LYN, LCK) and suppressing JAK-STAT pathways .

Clinical and Research Applications

PTPRC antibodies are widely used in:

ApplicationProtocol ExamplesKey Findings/Utility
Immunohistochemistry (IHC)Tumor microenvironment analysisHigher PTPRC expression in melanoma correlates with improved prognosis
Flow CytometryImmune cell phenotypingDistinguishes T/B cell subsets, monitors activation
Western BlotProtein quantificationDetects PTPRC in leukemic cells (e.g., AML lipid raft studies)
Therapeutic DevelopmentAntibody-drug conjugates (ADCs)Targets unmodified CD45 in blood cancer therapies

Infectious Disease

  • HIV-1: Upregulated PTPRC in seroconverters associates with heightened interferon responses (adj p = 6.6 × 10⁻¹⁰) .

Autoimmunity

  • Dysregulated PTPRC activity is implicated in multiple sclerosis and rheumatoid arthritis via aberrant T/B cell signaling .

Challenges and Innovations

  • Isoform Complexity: IDEIS improves isoform resolution in scRNA-seq data, outperforming prior tools like CD45er in speed and murine compatibility .

  • Therapeutic Targeting: Engineering CD45-shielded hematopoietic stem cells could mitigate ADC toxicity in leukemia .

Future Directions

  • Biomarker Discovery: Validating PTPRC isoforms as predictors of immunotherapy response in solid tumors.

  • Gene Editing: CRISPR-based CD45 modulation to enhance CAR-T cell efficacy .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (12-14 weeks)
Synonyms
B220 antibody; CD 45 antibody; CD45 antibody; CD45 antigen antibody; CD45R antibody; GP180 antibody; L-CA antibody; LCA antibody; Leukocyte common antigen antibody; loc antibody; Ly-5 antibody; LY5 antibody; Ly5, homolog of antibody; Lyt-4 antibody; OTTHUMP00000033813 antibody; OTTHUMP00000033816 antibody; OTTHUMP00000033817 antibody; OTTHUMP00000038574 antibody; Protein tyrosine phosphatase receptor type c polypeptide antibody; Protein tyrosine phosphatase, receptor type C antibody; protein tyrosine phosphatase, receptor type, C antibody; Protein tyrosine phosphatase, receptor type, c polypeptide antibody; Ptprc antibody; PTPRC_HUMAN antibody; Receptor-type tyrosine-protein phosphatase C antibody; T200 antibody; T200 glycoprotein antibody; T200 leukocyte common antigen antibody
Target Names
Uniprot No.

Target Background

Function
Protein tyrosine-protein phosphatase PTPRC is essential for T-cell activation through the antigen receptor. It acts as a positive regulator of T-cell coactivation by binding to DPP4. The first PTPase domain exhibits enzymatic activity, while the second domain appears to influence the substrate specificity of the first. Upon T-cell activation, PTPRC recruits and dephosphorylates SKAP1 and FYN. It also dephosphorylates LYN, thereby modulating LYN activity. In the context of microbial infection, PTPRC functions as a receptor for human cytomegalovirus protein UL11, mediating the binding of UL11 to T-cells. This binding leads to reduced induction of tyrosine phosphorylation of multiple signaling proteins upon T-cell receptor stimulation, ultimately impairing T-cell proliferation.
Gene References Into Functions
  1. This study reveals the heterogeneity of CD4 effector memory T cells expressing CD45RA, providing insights into T-cell responses against dengue virus and other viral pathogens. PMID: 29133794
  2. Patients with high transcriptional expression of CD45 (n = 107) exhibited a 5-year disease-free survival rate of 62.4%, while those with low expression (n = 53) had a rate of 36.2% (P = 0.003). Patients with high CD45 expression demonstrated improved local recurrence-free survival and disease-specific survival. PMID: 29177949
  3. CD45 acts as a regulator of IL-2 synergy in the NKG2D-mediated activation of immature human NK cells. PMID: 28655861
  4. TCR phosphorylation negatively correlates with TCR-CD45 separation. PMID: 29467364
  5. LPS modulates the expression of CD163 and CD206 in monocytes in vitro. LPS induces CD163 expression and downregulates the spontaneously increased expression of CD206. PMID: 25914252
  6. The no-wash, no-lyse staining protocol with CD45-KO and CD14-PB enables clear differentiation and gating of the monocyte population in near-physiological conditions. This protocol provides a simple and easy approach to assess the reaction between NO and superoxide ion in whole blood monocytes using RT-FCM. PMID: 25758468
  7. The mannose receptor (MR) exerts a regulatory effect by directly interacting with CD45 on T cells, inhibiting its phosphatase activity. This inhibition results in upregulation of CTLA-4 and the induction of T-cell tolerance. Furthermore, CD45 inhibition prevents the expression of B-cell lymphoma 6 (Bcl-6), a transcriptional inhibitor that directly binds the CTLA-4 promoter and regulates its activity. PMID: 27601670
  8. pUL11 induces IL-10 producing T cells by binding to the CD45 phosphatase on T cells. PMID: 28628650
  9. Expression of IL10R subunits within the leukocyte population (CD45(+) cells) is significantly higher in primary brain tumors compared to metastases. PMID: 28982901
  10. CD45 expression is routinely measured in the diagnostics of acute leukemias. PMID: 26415521
  11. A phosphosite within the SH2 Domain of Lck regulates its activation by CD45. A negative feedback loop that responds to signaling events tunes active Lck amounts and TCR sensitivity. PMID: 28735895
  12. The C77G variant of PTPRC is not associated with ovarian cancer in the Norwegian population. However, it may be associated with a less aggressive cancer type. PMID: 28759630
  13. CD45 is a key regulator of BCR-signaling thresholds mediated by T-cell help. PMID: 27056269
  14. This study demonstrates the physiological existence of circulating CD45 (ct-CD45) in human plasma. ct-CD45 may be an extrinsic factor contributing to the maintenance of human T-cell quiescence. PMID: 27718235
  15. Morphometric analysis of the blast cluster on SSC versus CD45 allows for the differentiation between ALL and AML, and their subtypes. If the w/h ratio on SSC versus CD45 plot is less than 1.6, AML may be considered, whereas a ratio greater than 1.6 suggests an ALL diagnosis. PMID: 27748273
  16. The use of the common leukocyte marker CD45 increases the sensitivity of diagnosing lymphocytic myocarditis. PMID: 28025077
  17. Rheumatoid arthritis patients with the PTPRC rs10919563 A allele exhibit a poor response to anti-TNF therapy. PMID: 27074847
  18. CD41 and CD45 expression marks the onset of haemangioblastoma (HB) neovascularisation and the stepwise development of the angioformative period. These markers also represent potential therapeutic targets for anti-vascular treatment. PMID: 26468019
  19. PTPRC has become the most replicated genetic biomarker of response to TNF inhibitors. PMID: 25896535
  20. CD45RO in tumor-infiltrating lymphocytes is a positive prognostic factor in squamous non-small cell lung cancer. PMID: 26678911
  21. CD45RO+ memory T-cells produce IL-17 in patients with atherosclerosis. PMID: 26667768
  22. This study elucidates the structural basis for, and the potent signaling effects of, local CD45 antigen and kinase segregation. PMID: 26998761
  23. A CD45+/CD19 - cell population in bone marrow aspirates correlates with the clinical outcome of patients with mantle cell lymphoma. PMID: 25739938
  24. High CD45 expression is associated with multiple myeloma. PMID: 26994849
  25. C77G T(reg) cells exhibit diminished upregulation of activation markers, lower phosphorylation of p56(lck)(Y505), and a reduced proliferative potential when stimulated with anti-TcR or anti-TcR plus CD28 mAb. These findings suggest decreased responsiveness to activating stimuli. The changes in CD45 isoform combination resulting from the C77G mutation alter the responsiveness of T(reg) cells. PMID: 26355564
  26. CD45 antigen(+) and c-Kit protein(+) hematopoietic cells are more abundant in muscle compared to bone marrow between embryonic days 14.5 and 17.5. PMID: 26389592
  27. The CD4+CD45RO+CD25-/lowCD127+: CD4+CD45RO+CD25hiCD127-/low ratio in peripheral blood indicates heart transplant recipients at risk for cardiac allograft vasculopathy. PMID: 25539460
  28. CD45+ cells are abundant in the stroma of physiologically immature placental villi and decrease as pregnancy progresses. PMID: 25043745
  29. Copy number variations of PTPRC are related to opioid dependence. PMID: 25345593
  30. This study did not replicate the association between PTPRC and response to anti-TNF treatment in a Southern European population. However, it found that TRAF1/C5 risk RA variants may influence anti-TNF treatment response. PMID: 25834819
  31. Long noncoding RNA encoded by the natural antisense gene of CD45 contributes to the expressional regulation of the CD45RO splicing variant through the recruitment of DNA methyltransferase and histone modification modulators specific to the sense gene CD45. PMID: 25381328
  32. Cholesterol-dependent domains in T-cells function in the regulation of the Src family kinase Lck (p56lck) by sequestering Lck from its activator CD45. PMID: 25658353
  33. Gastric cancer patients with the presence of CD8- and CD45RO-positive T cells in bone marrow demonstrated better survival outcomes than those without these cells. PMID: 25804232
  34. Type 1 diabetic children exhibit low expression of CD39(+) /CD45RA(+) on regulatory T cells (Treg ) cells, in contrast to high expression of CD101(+) /CD129(+) on Treg cells in children with celiac disease. PMID: 25421756
  35. Late-outgrowth CD45 negative endothelial progenitor cells express markers associated with pluripotency and can directly express an osteogenic phenotype under bone differentiation conditions. PMID: 25531767
  36. SLAMF7-triggered inhibition in MM cells is mediated by a mechanism involving Src kinases, CD45, and SHIP-1, which is defective in MM cells. PMID: 25312647
  37. CD45 PTP activity is both positively and negatively regulated by T cell receptor phosphorylation in reconstituted membrane protein clusters, depending on LCK activity. PMID: 25128530
  38. Galectin-1 inhibits CD45 PTP activity in the anaplastic large cell lymphoma cell line H-ALCL. PMID: 24589677
  39. Expressing CD45 promoters containing specific regions and tethered to green fluorescent protein (GFP) in a primary B-cell differentiation assay and a transplantation model resulted in high levels of GFP in lymphoid, myeloid, and nucleated erythroid cells. PMID: 24852660
  40. The rare sub-population of CD45(-)/Lin(-)/SSEA-4(+) VSEL stem cells survived after Hespan sedimentation. PMID: 24364909
  41. The hematopoietic cell marker CD45 is expressed in hepatic progenitor cells. PMID: 24396288
  42. CD45RA-Foxp3high Tregs increase in the peripheral circulation of head and neck squamous cell carcinoma patients. PMID: 24761979
  43. The regulation of alternative splicing in CD45 by IkappaBL is independent from the kinase activity of CLK1. PMID: 23953137
  44. High CD45 surface expression is associated with a poor prognosis in both BCP-ALL and T-ALL. PMID: 23911702
  45. PTPRC/CD45 is down-regulated in leukemogenic tyrosine kinase expressing cells. PMID: 23997015
  46. Circulating CD34+/KDR+/CD45dim endothelial progenitor cells hold great potential as biomarkers of vasculogenesis and endothelial repair when research protocols of in vitro culture and flow cytometry are included. PMID: 23171577
  47. Heterogeneity within the Lin(-)CD45(-) cell fraction likely explains differences in hUCB cell populations. PMID: 23840798
  48. Galectin-3-induced apoptosis of Jurkat cells is regulated by both O-glycans and N-glycans on CD45. PMID: 24211831
  49. Spatial regulation of Lck by CD45 and GM1 ganglioside determines the outcome of the apoptotic response to Gal-1. This local regulation likely occurs only upon intimate effector (Gal-1 expressing) cell-T-cell attachment. PMID: 24231767
  50. A glycosylation-dependent CD45RB epitope defines previously unacknowledged CD27-(IgM high) B cell subpopulations enriched in young children and after hematopoietic stem cell transplantation. PMID: 24211716

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Database Links

HGNC: 9666

OMIM: 126200

KEGG: hsa:5788

STRING: 9606.ENSP00000356346

UniGene: Hs.654514

Involvement In Disease
Severe combined immunodeficiency autosomal recessive T-cell-negative/B-cell-positive/NK-cell-positive (T(-)B(+)NK(+) SCID); Multiple sclerosis (MS)
Protein Families
Protein-tyrosine phosphatase family, Receptor class 1/6 subfamily
Subcellular Location
Cell membrane; Single-pass type I membrane protein. Membrane raft.
Tissue Specificity
Isoform 1: Detected in thymocytes. Isoform 2: Detected in thymocytes. Isoform 3: Detected in thymocytes. Isoform 4: Not detected in thymocytes. Isoform 5: Detected in thymocytes. Isoform 6: Not detected in thymocytes. Isoform 7: Detected in thymocytes. Is

Customer Reviews

Overall Rating 5.0 Out Of 5
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Applications : Immunocytochemistry

Sample type: Cells

Sample dilution: 1:100

Review: Examples of an isolated CTC of sarcoma patient with cytomorphological features negative staining for CD45, nucleus size≥12 µm, hyperchromatic and irregular nucleus, visible presence of cytoplasm, and a high nucleus–cytoplasm ratio.

Q&A

What is PTPRC and why is it important in immunological research?

PTPRC (CD45) is a transmembrane glycoprotein that functions as a protein tyrosine phosphatase receptor. It serves as an essential regulator of T and B cell antigen receptor-mediated activation pathways . The importance of PTPRC in immunological research stems from its critical role in controlling immune function through regulation of lymphocyte survival, cytokine responses, and T-cell receptor (TCR) signaling . Disruption of the equilibrium between protein tyrosine kinase and phosphatase activity involving CD45 can result in severe immunological disorders including immunodeficiency, autoimmunity, or malignancy .

For researchers, PTPRC antibodies serve as invaluable tools for investigating lymphocyte development, activation states, and functional responses. The protein's expression pattern makes it a useful marker for identifying and characterizing various immune cell populations, particularly during development and in disease states. Understanding CD45's structure, isoform expression, and functional mechanisms provides critical insights into fundamental immunological processes.

What are the different isoforms of PTPRC and how do they affect antibody selection?

The PTPRC gene can produce up to eight different isoforms through alternative splicing . These isoforms differ primarily in their extracellular domains, which affects their glycosylation patterns, molecular weights, and functional properties. The most well-characterized isoforms include CD45RA, CD45RB, CD45RC, and CD45RO, which are differentially expressed on various immune cell populations and at different stages of cell development and activation.

When selecting PTPRC antibodies for research, it is essential to consider which isoform(s) you aim to detect. Some antibodies recognize common epitopes present in all CD45 isoforms (pan-CD45), while others are specific for particular isoforms. For example, if studying naive versus memory T cells, researchers might select antibodies that distinguish between CD45RA (expressed on naive cells) and CD45RO (expressed on memory cells) . Review the antibody's datasheet carefully to confirm which epitope it recognizes and validate its specificity in your experimental system using appropriate positive and negative controls.

What are the optimal protocols for using PTPRC antibodies in flow cytometry?

For optimal flow cytometry results with PTPRC antibodies, researchers should consider several methodological factors:

  • Sample preparation: Prepare single-cell suspensions from your tissue of interest using gentle dissociation methods to preserve cell surface antigens. Avoid excessive mechanical stress or enzymatic over-digestion that might damage the PTPRC epitopes.

  • Antibody titration: Perform titration experiments to determine the optimal antibody concentration for your specific cell type and preparation. This minimizes background and ensures appropriate signal-to-noise ratios.

  • Blocking step: Include a blocking step (typically with serum matching the secondary antibody host species) to reduce non-specific binding.

  • Controls: Always include appropriate controls such as:

    • Unstained cells for autofluorescence assessment

    • Isotype controls matching the PTPRC antibody's isotype and concentration

    • Known positive and negative cell populations

  • Compensation: When using multiple fluorochromes, proper compensation is essential to account for spectral overlap.

Given that PTPRC is expressed at high levels on most leukocytes, it can serve as an excellent marker for gating immune cell populations in complex samples . The selection of specific anti-PTPRC clones should be determined by your research question, particularly if you're investigating specific isoforms or if cross-reactivity with other species is a concern.

How should researchers validate the specificity of PTPRC antibodies?

Validating PTPRC antibody specificity is crucial for reliable research outcomes and should include multiple approaches:

  • Western blotting: Confirm the antibody detects a protein of the expected molecular weight (approximately 147.5 kDa for the canonical form, though this varies by isoform) . Multiple bands may indicate detection of different isoforms or glycosylation states.

  • Knockout/knockdown controls: Where possible, use PTPRC knockout or knockdown cell lines/tissues as negative controls.

  • Peptide competition assays: Pre-incubate the antibody with the immunizing peptide (if available) to demonstrate signal specificity.

  • Cross-validation with multiple antibodies: Use antibodies targeting different epitopes of PTPRC to confirm consistent staining patterns.

  • Flow cytometry validation: Compare staining patterns on known PTPRC-positive cells (e.g., lymphocytes) versus PTPRC-negative cells (e.g., mature erythrocytes) .

  • Immunohistochemistry controls: Include appropriate tissue sections known to express or lack PTPRC as positive and negative controls, respectively.

Thorough validation not only ensures reliable results but also helps troubleshoot inconsistent findings that may arise from technical variations or biological differences in PTPRC expression across different cellular contexts.

How do PTPRC gene polymorphisms affect immune function, and what methodologies are best for their investigation?

PTPRC gene polymorphisms can significantly impact immune function and have been linked to various immune disorders. Two notable polymorphisms in humans are C77G and A138G . The C77G polymorphism affects the exon 4 splice silencer, leading to CD45RO isoform deficiency and has been associated with immune disorders including autoimmune hepatitis, HIV infection, and multiple sclerosis . The A138G mutation results in altered CD45 isoform expression with increased numbers of memory activated lymphocytes and enhanced interferon-gamma production .

For investigating these polymorphisms, researchers should consider the following methodological approaches:

  • Genotyping techniques: PCR-RFLP (Restriction Fragment Length Polymorphism), allele-specific PCR, or next-generation sequencing for accurate identification of specific polymorphisms.

  • Functional assays: Measure T and B cell proliferation, cytokine production, and receptor signaling to assess the functional impact of polymorphisms.

  • Flow cytometry analysis: Quantify CD45 isoform expression patterns on different immune cell subpopulations to correlate with genotypic variations.

  • Cell signaling studies: Investigate phosphorylation states of downstream signaling molecules (particularly Src family kinases) affected by altered PTPRC activity.

  • Clinical correlation: For translational studies, correlate polymorphism data with clinical phenotypes, disease progression, or treatment responses in patient cohorts.

When designing such studies, it's crucial to consider the ethnic background of your study population, as the frequency and impact of these polymorphisms can vary significantly between different ethnic groups.

What are the current methodological approaches for investigating PTPRC in severe combined immunodeficiency (SCID)?

PTPRC mutations can lead to severe combined immunodeficiency (SCID), particularly types 104 and 105 . Investigating PTPRC in SCID contexts requires a comprehensive approach combining genetic, molecular, cellular, and functional methodologies:

  • Genetic screening: Next-generation sequencing techniques to identify novel or known mutations in the PTPRC gene. This should include both coding regions and potential regulatory elements affecting expression.

  • Protein expression analysis: Western blotting and flow cytometry to quantify PTPRC protein levels and assess isoform distribution patterns in patient samples compared to healthy controls.

  • Phosphatase activity assays: Biochemical assays to measure the enzymatic activity of PTPRC and determine if mutations result in loss or alteration of phosphatase function.

  • Immune cell functional studies: Comprehensive assessment of T and B cell development, proliferation capacity, and antigen receptor signaling in patient-derived cells.

  • Signaling pathway analysis: Phospho-flow cytometry or western blotting to examine the phosphorylation status of downstream targets in the TCR signaling pathway, particularly focusing on Lck and Fyn kinases.

  • Mouse models: Generation of knockin mice harboring patient-specific mutations to recapitulate the disease phenotype and test potential therapeutic interventions.

  • iPSC-derived immune cells: Patient-specific induced pluripotent stem cells differentiated into hematopoietic lineages to study developmental defects caused by PTPRC mutations.

These approaches can provide valuable insights into how specific PTPRC mutations impair immune cell development and function, potentially leading to novel therapeutic strategies for SCID patients .

How can researchers effectively use PTPRC antibodies in multiplex immunoassays?

Integrating PTPRC antibodies into multiplex immunoassays requires careful consideration of several technical factors:

  • Antibody compatibility: Select PTPRC antibodies with minimal cross-reactivity to other targets in your panel. Monoclonal antibodies like those available from commercial sources may offer higher specificity .

  • Panel design: When designing a multiplex panel:

    • Choose fluorochromes for PTPRC based on its expected expression level (bright fluorochromes for low-expressed targets, dimmer ones for highly expressed targets like PTPRC)

    • Account for potential spectral overlap between fluorochromes

    • Consider the cellular localization of targets (membrane for PTPRC)

  • Optimization strategies:

    • Perform antibody titrations individually before combining in a multiplex panel

    • Test different fixation and permeabilization protocols to ensure compatibility with all antibodies

    • Evaluate potential epitope masking or steric hindrance between antibodies

  • Validation approaches:

    • Compare results from single-stained samples with multiplex results

    • Include fluorescence-minus-one (FMO) controls to accurately set gates

    • Use known reference samples to validate expected staining patterns

  • Data analysis considerations:

    • Implement appropriate compensation matrices

    • Consider dimensionality reduction techniques (t-SNE, UMAP) for high-parameter data

    • Validate findings using alternate methodologies

The high expression level of PTPRC on most immune cells makes it an excellent marker for identifying leukocyte populations in complex samples, serving as an anchor marker in many immunophenotyping panels .

What are the challenges and solutions in investigating interactions between PTPRC and its ligands?

Studying interactions between PTPRC and its ligands presents several methodological challenges:

  • Challenge: PTPRC has multiple potential ligands, including PP14/PAEP, galectin-1, CD22, and viral proteins like pUL11 , making comprehensive interaction studies complex.
    Solution: Employ systematic approaches including proximity ligation assays, co-immunoprecipitation with multiple antibodies targeting different PTPRC domains, and FRET/BRET technologies to validate interactions in physiological contexts.

  • Challenge: PTPRC interactions may be transient or of low affinity.
    Solution: Use chemical crosslinking combined with mass spectrometry to capture and identify transient interactions. Surface plasmon resonance or bio-layer interferometry can quantify binding kinetics and affinities.

  • Challenge: PTPRC has extensive glycosylation that may modulate ligand binding .
    Solution: Compare binding studies with differentially glycosylated forms of PTPRC, using enzymatic deglycosylation or expression systems with altered glycosylation capacity.

  • Challenge: The large extracellular domain of PTPRC makes structural studies difficult.
    Solution: Focus on domain-specific interactions using recombinant protein fragments representing specific PTPRC domains.

  • Challenge: Functional consequences of ligand binding are context-dependent.
    Solution: Develop cell-type specific assays measuring downstream signaling events (e.g., LCK phosphorylation status), calcium flux, or functional outcomes like proliferation or cytokine production in response to specific ligand engagement.

For example, when studying the interaction between PTPRC and viral protein pUL11, researchers should note that different concentrations of pUL11 can lead to varying effects on the phosphorylation of LCK at different residues, highlighting the complex nature of these interactions .

How should researchers interpret PTPRC antibody data in the context of innate immune cell research?

While PTPRC is traditionally associated with adaptive immunity, recent evidence indicates it plays essential roles in the innate immune system . When using PTPRC antibodies in innate immune cell research, consider these interpretative frameworks:

  • Cell type-specific expression patterns:

    • PTPRC can be used as a marker to identify specific macrophage populations, including alveolar macrophages and interstitial macrophages

    • Different innate immune cell subtypes may express distinct PTPRC isoforms or levels

    • Compare expression patterns across multiple markers to accurately identify cell populations

  • Functional context interpretation:

    • Correlate PTPRC expression with functional readouts (cytokine production, phagocytic capacity)

    • Consider activation state—PTPRC phosphatase activity may regulate innate immune signaling differently depending on cellular activation

    • Integrate with signaling pathway analyses, particularly those involving tyrosine phosphorylation cascades

  • Technical considerations:

    • Use multiple antibody clones recognizing different epitopes to validate findings

    • Account for potential differences in PTPRC accessibility or conformation in different innate immune cell types

    • Consider tissue-specific factors that may affect antibody binding or PTPRC function

  • Comparative analysis approaches:

    • Compare findings across species, considering potential differences in PTPRC structure and function

    • Validate flow cytometry findings with imaging techniques to confirm cellular localization

    • Correlate PTPRC expression with other innate immune markers to establish reliable identification panels

When designing studies focusing on PTPRC in innate immunity, researchers should particularly focus on macrophage populations, where PTPRC may serve as a useful marker for identifying specific subpopulations or activation states .

What controls are essential when using PTPRC antibodies in experimental workflows?

Robust experimental design with appropriate controls is critical when working with PTPRC antibodies. Essential controls include:

  • Positive and negative tissue/cell controls:

    • Positive: Lymphoid tissues (lymph nodes, spleen) known to express high levels of PTPRC

    • Negative: Mature erythrocytes or non-hematopoietic cell lines that lack PTPRC expression

  • Antibody-specific controls:

    • Isotype controls matched to the primary antibody's isotype, species, and concentration

    • Secondary antibody-only controls (for indirect detection methods)

    • Blocking peptide controls where the primary antibody is pre-incubated with excess immunizing peptide

  • Technical controls:

    • Unstained samples to establish baseline autofluorescence in flow cytometry

    • Fluorescence-minus-one (FMO) controls for multicolor flow panels

    • Single-stained compensation controls for each fluorochrome

  • Biological validation controls:

    • Comparison of staining patterns across known biological states (e.g., naive vs. activated lymphocytes)

    • Correlation with functional readouts relevant to the research question

  • Method-specific controls:

    • For immunoprecipitation: Pre-immune serum or IgG controls

    • For Western blotting: Molecular weight markers and loading controls

    • For immunohistochemistry: Absorption controls and secondary antibody controls

Including these controls allows for accurate interpretation of results and troubleshooting of unexpected outcomes, particularly important given the various isoforms and extensive post-translational modifications of PTPRC .

How can researchers address common technical challenges with PTPRC antibodies?

Researchers commonly encounter several technical challenges when working with PTPRC antibodies. Here are methodological solutions for addressing them:

  • Challenge: Variable staining intensity across sample types
    Solution: Optimize fixation conditions specifically for your tissue/cell type. For formalin-fixed tissues, test different antigen retrieval methods (heat-induced vs. enzymatic). For flow cytometry, compare different fixation buffers and incubation times.

  • Challenge: Cross-reactivity with other proteins
    Solution: Validate antibody specificity using multiple techniques (Western blot, immunoprecipitation, flow cytometry). Consider using recombinant monoclonal antibodies like CPTC-PTPRC-2 for improved specificity .

  • Challenge: Distinguishing between PTPRC isoforms
    Solution: Select antibodies targeting isoform-specific epitopes. Complement antibody-based detection with molecular techniques like RT-PCR to confirm isoform expression patterns.

  • Challenge: Poor signal in immunohistochemistry
    Solution: Test different antibody concentrations and incubation conditions. Consider amplification systems like tyramide signal amplification if the target expression is low.

  • Challenge: Inconsistent results between different antibody clones
    Solution: Compare antibodies targeting different epitopes of PTPRC. Different epitopes may be differentially accessible depending on protein conformation, fixation method, or cellular context.

  • Challenge: Interference from heavy glycosylation
    Solution: For biochemical studies, consider using enzymatic deglycosylation to improve epitope accessibility. In flow cytometry, longer incubation times or different detergents in staining buffers may improve staining.

  • Challenge: Non-specific background in immunofluorescence
    Solution: Implement more stringent blocking procedures using a combination of serum, BSA, and commercial blocking reagents. Include additional washing steps with detergents like Tween-20 or Triton X-100.

Addressing these challenges systematically will improve data quality and reproducibility in PTPRC-focused research.

What emerging methodologies are advancing PTPRC research?

Several cutting-edge methodologies are expanding our understanding of PTPRC biology and offering new research opportunities:

  • Single-cell technologies: Single-cell RNA sequencing and CyTOF (mass cytometry) are enabling researchers to precisely characterize PTPRC isoform expression patterns and correlate them with cellular identity and function at unprecedented resolution.

  • CRISPR-Cas9 gene editing: Targeted modification of PTPRC can create model systems to study specific polymorphisms or mutations associated with immunodeficiency . This approach allows for precise dissection of structure-function relationships.

  • Spatial transcriptomics and proteomics: These techniques allow researchers to map PTPRC expression in intact tissues, providing crucial spatial context for understanding its function in different microenvironments.

  • Proximity labeling methods: BioID or APEX2-based approaches can identify novel PTPRC-interacting proteins in living cells, expanding our understanding of its signaling networks.

  • Advanced imaging techniques: Super-resolution microscopy and live-cell imaging are providing new insights into PTPRC dynamics during immune cell activation and signaling.

  • Protein structure analysis: Cryo-electron microscopy is advancing our understanding of PTPRC's complex structure, particularly its heavily glycosylated extracellular domains.

  • Systems biology approaches: Integration of multi-omics data is helping researchers understand how PTPRC functions within broader signaling networks and how perturbations affect immune system homeostasis.

These emerging methodologies are particularly valuable for investigating PTPRC's role in the innate immune system, which remains less well characterized than its functions in adaptive immunity .

How might PTPRC research inform therapeutic strategies for immunological disorders?

PTPRC research has significant implications for developing therapeutic strategies for various immunological disorders:

  • Immunodeficiency disorders: Understanding the molecular mechanisms underlying PTPRC-associated severe combined immunodeficiency (SCID types 104 and 105) could inform targeted gene therapy approaches or the development of recombinant proteins to restore immune function.

  • Autoimmune diseases: Given PTPRC's role in regulating T cell activation and the association of certain polymorphisms with autoimmune conditions , modulating CD45 activity could represent a therapeutic strategy. Research into the A138G polymorphism, which affects interferon-gamma production , may inform treatments for conditions characterized by dysregulated cytokine responses.

  • Cancer immunotherapy: PTPRC's role in immune cell activation makes it relevant for cancer immunotherapy research. Understanding how PTPRC regulates immune checkpoint pathways could identify new targets or combination strategies to enhance anti-tumor immune responses.

  • Transplantation medicine: PTPRC research may inform strategies to modulate immune responses in transplantation settings, potentially through targeted antibodies or small molecules that modify CD45 phosphatase activity.

  • Infectious disease: The interaction between viral proteins like pUL11 and PTPRC highlights potential viral evasion mechanisms. Understanding these interactions could lead to novel anti-viral strategies targeting host-pathogen interfaces.

Future therapeutic approaches may include developing small molecule modulators of PTPRC phosphatase activity, antibodies targeting specific isoforms, or gene editing strategies to correct pathogenic mutations in severe immunodeficiencies.

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