PTPN11 Antibody

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Buffer
PBS with 0.02% Sodium Azide, 50% Glycerol, pH 7.3. Store at -20°C. Avoid freeze/thaw cycles.
Lead Time
Typically, we can ship the products within 1-3 business days after receiving your orders. Delivery time may vary depending on the purchasing method or location. Please consult your local distributor for specific delivery timelines.
Synonyms
BPTP3 antibody; CFC antibody; JMML antibody; METCDS antibody; MGC14433 antibody; NS1 antibody; OTTHUMP00000166107 antibody; OTTHUMP00000166108 antibody; Protein tyrosine phosphatase 2 antibody; Protein tyrosine phosphatase 2C antibody; Protein tyrosine phosphatase non receptor type 11 antibody; Protein-tyrosine phosphatase 1D antibody; Protein-tyrosine phosphatase 2C antibody; PTN11_HUMAN antibody; PTP-1D antibody; PTP-2C antibody; PTP1D antibody; PTP2C antibody; PTPN11 antibody; SAP2 antibody; SH-PTP2 antibody; SH-PTP3 antibody; SH2 domain containing protein tyrosine phosphatase 2 antibody; SHP 2 antibody; SHP-2 antibody; Shp2 antibody; SHPTP2 antibody; SHPTP3 antibody; Syp antibody; Tyrosine-protein phosphatase non-receptor type 11 antibody
Target Names
Uniprot No.

Target Background

Function
PTPN11, also known as SHP2, acts downstream of various receptor and cytoplasmic protein tyrosine kinases. It plays a crucial role in signal transduction pathways, relaying information from the cell surface to the nucleus. SHP2 positively regulates the MAPK signaling pathway and is involved in dephosphorylation of several key proteins, including GAB1, ARHGAP35, EGFR, ROCK2, CDC73, and SOX9. Notably, dephosphorylation of ROCK2 at tyrosine 722 stimulates its RhoA binding activity, while dephosphorylation of SOX9 on tyrosine residues leads to its inactivation and promotes ossification.
Gene References Into Functions
  1. Genetic or pharmacologic inactivation of SHP2 promotes accumulation of JAK2 phosphorylated at Y570, reduces JAK2/STAT3 signaling, inhibits TGFbeta-induced fibroblast activation and ameliorates dermal and pulmonary fibrosis. PMID: 30108215
  2. Authors identify that miR-186 serves as a tumor suppressor in OSCC. Downregulation of this microRNA may lead to a higher expression of oncogenic factor SHP2, which leads to activation of growth promoting signaling. PMID: 29407635
  3. REVIEW: structural basis and recent research progression on SHP2 in various human disease, including genetic and cancer diseases. PMID: 27028808
  4. The tumor promoting role of YAP is involved in SHP2, which functions as a tumor promoter in vitro but as a tumor suppressor in vivo. PMID: 29699904
  5. Data indicate that by inhibiting adenine nucleotide translocase 1 (ANT1) and mitochondrial dysfunction, tyrosine phosphatase SHP2 orchestrates an intrinsic regulatory loop to limit excessive NLR family, pyrin domain-containing 3 protein (NLRP3) inflammasome activation. PMID: 29255148
  6. Findings revealed that SHP2 is associated with cisplatin-induced drug resistance in lung cancer and directly activates Ras, which in turn regulates the PI3K/Akt pathway. PMID: 29207183
  7. SHP-2 is activated by CD16b crosslinking in neutrophils. PMID: 29137913
  8. Proliferation and soft agar assays were used to demonstrate the functional contribution of SHP2 to cell growth and transformation. SHP2 expression correlated with SOX2 expression in glioma stem cell (GSC) lines and was decreased in differentiated cells. Forced differentiation of GSCs by removal of growth factors, as confirmed by loss of SOX2 expression, also resulted in decreased SHP2 expression. PMID: 28852935
  9. PTPN11 plays a role in regulating neurotrophin protective signaling in neuronal cells; PTPN11 dysregulation promotes apoptotic activation. PMID: 28947394
  10. This study provides information on phenotypes observed in Noonan syndrome patients with different PTPN11 mutations and defines two novel mutations. PMID: 26817465
  11. SHP-2 protein may become a new target for anti-malignant transformation of glioma. PMID: 28620155
  12. High SHP2 expression is associated with colorectal tumors. PMID: 27582544
  13. SHP2 expression was activated by the HBx-NF-kappaB pathway. In patients with HCC, a loss of SHP2 expression was associated with suppressed NF-kappaB-SHP2-ERK pathway activity and accelerated HCC development, whereas SHP2 overexpression in parallel with increased STAT3 activity was associated with fibrosis promotion during the early stages of HCC development. PMID: 28460481
  14. The inhibitory action of cryptotanshinone is largely attributed to the inhibition of STAT3 Tyr705 phosphorylation with a novel mechanism of upregulating the tyrosine phosphatase activity of SHP-2 protein. PMID: 28492557
  15. Studies indicate that multiple classes of PTPN11 mutations with a distinct perturbing effect on SHP2's function. PMID: 28074573
  16. Mutational status of NRAS, KRAS, and PTPN11 genes is associated with genetic/cytogenetic features in children with B-precursor acute lymphoblastic leukemia. PMID: 28853218
  17. Studied mutations of PTPN11 in a cohort of Noonan Syndrome patients. Mutational analysis was performed and PTPN11 mutations were detected in 11 out of 17 (64.7%) patients with Noonan syndrome; 72% had mutation in exon 3 and 27% had mutation in exon 13. PMID: 28607217
  18. NO controls the calcium signal propagation through Cx37-containing gap junctions. The tyrosine phosphatase SHP-2 is the essential mediator and NO target. PMID: 29025706
  19. We describe patients with craniosynostosis and Noonan syndrome due to de novo mutations in PTPN11 and patients with craniosynostosis and CFC syndrome due to de novo mutations in BRAF or KRAS. All of these patients had cranial deformities in addition to the typical phenotypes of CFC syndrome and Noonan syndrome. PMID: 28650561
  20. These results suggest that SHP-2-via association with ICAM-1-mediates ICAM-1-induced Src activation and modulates VE-cadherin switching association with ICAM-1 or actin, thereby negatively regulating neutrophil adhesion to endothelial cells and enhancing their transendothelial migration. PMID: 28701303
  21. High PTPN11 expression is associated with suppression of T lymphocyte function in Melanoma. PMID: 27930879
  22. PTPN11 mutations are the most common cause of the Noonan syndrome, along with frequent neuroepithelial brain tumors. (Review) PMID: 28328117
  23. A novel PTPN11 mutation defined in two separate fetuses with Cystic hygroma and associated with Noonan syndrome phenotype is being reported. PMID: 27193571
  24. High PTPN11 expression is associated with Pancreatic cancer. PMID: 27213290
  25. SHP-2 acts together with PI3K/AKT to regulate a ZEB1-miR-200 feedback loop in PDGFRalpha-driven gliomas. PMID: 27041571
  26. The data presented in the current study reveal that intestinal serotonin transporter (SERT) is a target of the tyrosine phosphatase SHP2 and show a novel mechanism by which a common diarrheagenic pathogen, EPEC, activates cellular SHP2 to inhibit SERT function. PMID: 28209599
  27. The effects of SHP2 overexpression and inhibition on fibroblast response to profibrotic stimuli were analyzed in primary human fibroblasts. SHP2 was down-regulated and lung fibroblasts obtained from patients with IPF, revealing SHP2 was absent within fibroblastic foci sufficient to induce fibroblast-to-myofibroblast differentiation in primary human lung fibroblasts, resulting in reduced cell survival. PMID: 27736153
  28. PTPN11 variant was identified in a case with a lethal presentation of Noonan syndrome. PMID: 28098151
  29. Appropriate knowledge of the phenotype-genotype correlations and of the outcome of cochlear implantation in genetic hearing impairment is important in the work-up to a CI. PMID: 28483241
  30. Our results provide strong evidence that CD244 co-operates with c-Kit to regulate leukemogenesis through SHP-2/p27 signaling. PMID: 28126968
  31. SHP2, SOCS3 and PIAS3 levels are reduced in medulloblastomas in vivo and in vitro, of which PIAS3 downregulation is more reversely correlated with STAT3 activation. In resveratrol-suppressed medulloblastoma cells with STAT3 downregulation and decreased incidence of STAT3 nuclear translocation, PIAS3 is upregulated, the SHP2 level remains unchanged and SOCS3 is downregulated. PMID: 28035977
  32. Could promote hepatocellular carcinoma cell dedifferentiation and liver cancer stem cell expansion by amplifying beta-catenin signaling. PMID: 28059452
  33. The results revealed that although the expression levels of SOCS1, SOCS3 and, in particular, pSHP2, tend to decrease in the four types of astrocytomas, PIAS3 downregulation is more negatively correlated with STAT3 activation in the stepwise progress of astrocytomas and would indicate an unfavorable outcome. PMID: 28035384
  34. In a retroviral transduction/transplantation mouse model, mice transplanted with MLL/AF10(OM-LZ) cells harboring PTPN11(wt) developed myelomonocytic leukemia. Those transplanted with cells harboring PTPN11(G503A) -induced monocytic leukemia in a shorter latency. Adding PTPN11(G503A) to MLL/AF10 affected cell proliferation, chemo-resistance, differentiation, in vivo BM recruitment/clonal expansion and faster progression. PMID: 27859216
  35. Shp2 (Src-homology 2 domain-containing phosphatase 2) functions as a negative regulator for STAT3 transcription factor (Stat3) activation in esophageal squamous cell cancer (ESCC). PMID: 28085101
  36. The phosphatase activity of Shp2 and its tyrosine phosphorylation, are necessary for the IL-6-induced downregulation of E-cadherin and the phosphorylation of Erk1/2. Our findings uncover an important function that links Shp2 to IL-6-promoted breast cancer progression. PMID: 28208810
  37. This study reveals the critical contribution of Ptpn11 mutations in the bone marrow microenvironment to leukaemogenesis and identifies CCL3 as a potential therapeutic target for controlling leukaemic progression in Noonan syndrome and for improving stem cell transplantation therapy in Noonan-syndrome-associated leukaemias. PMID: 27783593
  38. Higher expression of SHP2 might be involved in the progression of pancreatic ductal adenocarcinoma, suggesting that SHP2 may be a potential prognostic marker and target for therapy. PMID: 26695153
  39. Data indicate that the most prominent proteins associating with Gab2 are PTPN11, PIK3R1 and ARID3B. PMID: 27025927
  40. Since rs2301756 polymorphism of PTPN11 was associated with reduced risk of gastric cancer and better effects of chemotherapy on gastric cancer, it can be considered as a predictor of gastric cancer prognosis and the treatment target for gastric cancer. PMID: 27614952
  41. SHP2 gain-of-function mutation enhances malignancy of breast carcinoma. PMID: 26673822
  42. Mutation in PTPN11 is associated with co-occurrence of hypertrophic cardiomyopathy and myeloproliferative disorder in a neonate with Noonan syndrome. PMID: 26286251
  43. The existence of a tight association between SHP2 and EGFR expression in tumors and cell lines further suggested the importance of SHP2 in EGFR expression. PMID: 26728598
  44. Patients with low Shp2 expression exhibited superior prognosis to sorafenib. PMID: 25865556
  45. Combined X-ray crystallography, small-angle X-ray scattering, and biochemistry to elucidate structural and mechanistic features of three cancer-associated SHP2 variants with single point mutations within the N-SH2:PTP interdomain autoinhibitory interface. PMID: 27030275
  46. In vitro assays suggested that LEOPARD syndrome-associated SHP-2 mutations might enhance melanin synthesis in melanocytes, and that the activation of Akt/mTOR signalling may contribute to this process. PMID: 25917897
  47. SHP2 may promote invadopodia formation through inhibition of Rho signaling in cancer cells. PMID: 26204488
  48. Shp2 promotes metastasis of prostate cancer by attenuating the PAR3/PAR6/aPKC polarity protein complex and enhancing epithelial-to-mesenchymal transition. PMID: 26050620
  49. PTPN11 is a central node in intrinsic and acquired resistance to targeted cancer drugs. PMID: 26365186
  50. SHP2 preferentially binds to and dephosphorylates Ras to increase its association with Raf and activate downstream proliferative Ras/ERK/MAPK signaling. PMID: 26617336

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Database Links

HGNC: 9644

OMIM: 151100

KEGG: hsa:5781

STRING: 9606.ENSP00000340944

UniGene: Hs.506852

Involvement In Disease
LEOPARD syndrome 1 (LPRD1); Noonan syndrome 1 (NS1); Leukemia, juvenile myelomonocytic (JMML); Metachondromatosis (MC)
Protein Families
Protein-tyrosine phosphatase family, Non-receptor class 2 subfamily
Subcellular Location
Cytoplasm. Nucleus.
Tissue Specificity
Widely expressed, with highest levels in heart, brain, and skeletal muscle.

Q&A

What is PTPN11 and why is it important for research?

PTPN11 is a ubiquitously expressed protein tyrosine phosphatase that contains two tandem Src homology 2 (SH2) domains, a PTP domain, and a C-terminal tail with tyrosyl phosphorylation sites and a prolyl-rich motif. It plays a regulatory role in various cell signaling events critical for diverse cellular functions, including mitogenic activation, metabolic control, transcription regulation, and cell migration. PTPN11 is particularly important in hematopoietic cell development and function . Mutations in the PTPN11 gene are associated with several human diseases, including developmental disorders like Noonan syndrome and Leopard syndrome, as well as various malignancies such as acute myeloid leukemia and solid tumors . Its central role in multiple signaling pathways makes it an important target for both basic research and therapeutic development.

How do I select the appropriate PTPN11 antibody for my specific research application?

Selecting the appropriate PTPN11 antibody requires consideration of several experimental factors:

  • Target epitope location: Different antibodies recognize distinct regions of PTPN11. For instance, some antibodies target amino acids 263-329 , while others target the C-terminal region or specific phosphorylation sites like Tyr542 or Tyr580 . Choose an antibody that targets a region relevant to your specific research question.

  • Application compatibility: Verify the antibody's validated applications. Some antibodies are optimized for Western blot (WB), while others perform better in immunohistochemistry (IHC), flow cytometry (FC), or immunofluorescence (IF) . For example, the OTI1F7 clone has been specifically validated for flow cytometry and Western blot applications .

  • Species reactivity: Confirm that the antibody recognizes PTPN11 in your experimental species. Some antibodies react only with human PTPN11, while others cross-react with mouse and rat homologs .

  • Clonality: Monoclonal antibodies offer high specificity but recognize a single epitope, while polyclonal antibodies recognize multiple epitopes and may provide stronger signals but with potential for cross-reactivity .

  • Validation: Look for antibodies with knockout (KO) validation or other rigorous validation data to ensure specificity .

What are the key differences between monoclonal and polyclonal PTPN11 antibodies in research applications?

FeatureMonoclonal PTPN11 AntibodiesPolyclonal PTPN11 Antibodies
ProductionProduced from a single B cell cloneProduced from multiple B cell lineages
SpecificityRecognizes a single epitope (e.g., aa 263-329) Recognizes multiple epitopes (often C-terminal or phospho-specific)
Batch ConsistencyHigh consistency between batchesPotential batch-to-batch variation
Signal StrengthMay have lower signal in some applicationsOften provides stronger signal due to multiple binding sites
BackgroundGenerally lower backgroundPotentially higher background
ApplicationsMay be limited to specific applications (e.g., OTI1F7 for FC and WB) Often usable across multiple applications
Epitope AccessibilityMay lose reactivity if epitope is maskedMore robust against epitope masking due to multiple binding sites
ExampleMouse monoclonal clone 6D9 (aa 263-329) Rabbit polyclonal against C-terminus or pTyr542/pTyr580

Monoclonal antibodies like clone OTI1F7 offer consistent results across experiments and are ideal when absolute specificity is required . Polyclonal antibodies may be preferable when the target protein is present at low abundance or when detecting modified forms of PTPN11, such as phosphorylated variants .

How should I optimize Western blot protocols specifically for PTPN11 detection?

Optimizing Western blot protocols for PTPN11 detection requires attention to several key parameters:

  • Sample preparation: For optimal PTPN11 detection, lyse cells using a buffer containing phosphatase inhibitors to preserve phosphorylation states. PTPN11 has a predicted molecular weight of 67.8 kDa , but may appear at slightly different sizes depending on post-translational modifications.

  • Antibody dilution: Begin with the manufacturer's recommended dilution (e.g., 1:1000 for the OTI1F7 clone ) and adjust as needed based on signal intensity and background. Perform a dilution series experiment if optimal concentration is unclear.

  • Blocking conditions: Use 5% non-fat dry milk or BSA in TBST. For phospho-specific PTPN11 antibodies (pTyr542, pTyr580), BSA is preferred as milk contains phosphoproteins that may interfere with detection .

  • Incubation time and temperature: Primary antibody incubation can be performed overnight at 4°C or for 2 hours at room temperature. Secondary antibody incubation typically requires 1 hour at room temperature.

  • Washing steps: Implement thorough washing steps (4-5 washes, 5 minutes each) with TBST to reduce background, particularly important when using polyclonal antibodies.

  • Detection method: For low abundance PTPN11 detection or phospho-specific analysis, enhanced chemiluminescence (ECL) substrates with higher sensitivity are recommended.

  • Controls: Include appropriate positive controls (cell lines known to express PTPN11) and negative controls (PTPN11 knockout cells if available).

What are the critical considerations for immunohistochemical detection of PTPN11 in tissue samples?

When performing immunohistochemistry with PTPN11 antibodies, consider these critical factors:

  • Tissue fixation and antigen retrieval: Formalin fixation may mask PTPN11 epitopes. Optimize antigen retrieval methods (citrate buffer pH 6.0 or EDTA buffer pH 9.0) through comparative testing.

  • Antibody selection: Choose antibodies specifically validated for IHC applications. Not all PTPN11 antibodies work effectively in fixed tissues .

  • Signal amplification: Consider using polymer-based detection systems for enhanced sensitivity, especially important when studying tissues with low PTPN11 expression.

  • Counterstaining: Adjust hematoxylin counterstaining time to maintain visibility of PTPN11 immunoreactivity while providing adequate nuclear detail.

  • Controls: Include positive control tissues (with known PTPN11 expression patterns) and negative controls (primary antibody omission and ideally PTPN11 knockout tissues).

  • Subcellular localization analysis: PTPN11 can localize to different cellular compartments depending on activation state. Use high-magnification imaging to assess membrane, cytoplasmic, and nuclear distribution patterns.

  • Dual staining approaches: Consider dual immunostaining with markers of specific cell types or signaling molecules to contextualize PTPN11 expression within tissue microenvironments.

How can I effectively use PTPN11 antibodies in flow cytometry experiments?

For effective use of PTPN11 antibodies in flow cytometry:

  • Cell preparation: Since PTPN11 is primarily an intracellular protein, permeabilization is essential. Use a commercial intracellular staining kit compatible with phospho-epitope preservation if studying activated PTPN11.

  • Antibody selection: Choose antibodies specifically validated for flow cytometry, such as the OTI1F7 clone (recommended dilution 1:100) .

  • Controls: Include appropriate isotype controls (e.g., mouse IgG1 for the OTI1F7 clone ) and, if possible, PTPN11-deficient cells as negative controls.

  • Fixation protocol: For phospho-specific detection, use paraformaldehyde fixation (2-4%) followed by methanol or specialized permeabilization buffers to preserve phosphorylation states.

  • Titration: Perform antibody titration experiments to determine optimal concentration for maximum signal-to-noise ratio.

  • Multi-parameter analysis: Consider co-staining with cell surface markers or other intracellular proteins to analyze PTPN11 expression or activation in specific cell populations.

  • Compensation: When using multiple fluorochromes, proper compensation is critical, especially when analyzing subtle changes in PTPN11 expression or phosphorylation.

How can I detect specific phosphorylated forms of PTPN11 in experimental samples?

Detection of phosphorylated PTPN11 requires specialized approaches:

  • Phospho-specific antibodies: Use antibodies that specifically recognize phosphorylated residues, such as pTyr542 and pTyr580, which are key regulatory sites in PTPN11 . These antibodies are available for various applications including WB, IHC, and IF .

  • Sample preparation: Rapid sample processing is critical as phosphorylation is labile. Use lysis buffers containing phosphatase inhibitor cocktails and keep samples cold throughout processing.

  • Stimulation controls: Include appropriate positive controls (cells treated with growth factors or cytokines known to induce PTPN11 phosphorylation) and negative controls (unstimulated cells or phosphatase-treated lysates).

  • Quantification methods: For Western blots, normalize phospho-PTPN11 signal to total PTPN11 by sequential probing or parallel blots to accurately assess relative phosphorylation levels.

  • Multiplexed approaches: Consider using multiplexed detection systems to simultaneously measure total PTPN11 and site-specific phosphorylation in the same sample.

  • Temporal dynamics: For signaling studies, design time-course experiments to capture the transient nature of PTPN11 phosphorylation following stimulation.

What strategies can be employed to study PTPN11 protein-protein interactions in complex biological samples?

To study PTPN11 protein-protein interactions:

  • Co-immunoprecipitation (Co-IP): Use PTPN11 antibodies to pull down protein complexes, followed by Western blotting for suspected interacting partners. Select antibodies that do not interfere with the protein interaction domains (SH2 domains) .

  • Proximity ligation assay (PLA): This technique allows visualization of protein interactions in situ with high specificity and sensitivity. Some PTPN11 antibodies are specifically validated for PLA applications .

  • FRET/BRET: For studying dynamic interactions, consider fluorescence or bioluminescence resonance energy transfer approaches using tagged proteins in live cells.

  • Cross-linking strategies: Prior to immunoprecipitation, use chemical cross-linkers to stabilize transient interactions that might be lost during standard IP procedures.

  • Mass spectrometry: For unbiased discovery of interaction partners, couple immunoprecipitation with mass spectrometry analysis.

  • Domain-specific antibodies: Utilize antibodies that target specific domains of PTPN11 (N-SH2, C-SH2, or PTP domains) to investigate domain-specific interactions or to avoid disrupting particular interaction interfaces.

  • Competitive blocking: Use synthetic phosphopeptides that mimic binding sites to confirm specificity of interactions mediated through the SH2 domains of PTPN11.

How can PTPN11 antibodies be applied in studying disease-associated PTPN11 mutations?

For studying disease-associated PTPN11 mutations:

  • Mutation-specific antibodies: While rare, some antibodies may recognize conformational epitopes that are altered in specific mutant forms of PTPN11. Check with manufacturers for such specialized reagents.

  • Differential detection strategies: Use standard PTPN11 antibodies in combination with functional readouts (phosphorylation of downstream targets) to indirectly assess the impact of mutations on PTPN11 activity.

  • Immunofluorescence microscopy: Study subcellular localization changes of mutant PTPN11 compared to wild-type, as some mutations may affect protein trafficking or membrane association.

  • Expression level analysis: Quantify expression levels of mutant versus wild-type PTPN11 in patient samples or model systems using validated antibodies and quantitative Western blot or flow cytometry.

  • Phosphorylation state assessment: Compare phosphorylation patterns of wild-type and mutant PTPN11, as mutations often affect autoregulation and phosphorylation status .

  • Tissue distribution studies: Analyze expression patterns in disease tissues (e.g., Noonan syndrome or leukemia samples) compared to normal controls using IHC-validated antibodies .

How can I address common issues with non-specific binding when using PTPN11 antibodies?

To minimize non-specific binding problems:

  • Antibody validation: Verify antibody specificity using positive and negative controls. If possible, use knockout or knockdown samples as definitive negative controls .

  • Blocking optimization: Test different blocking agents (BSA, non-fat milk, normal serum, commercial blocking solutions) to identify optimal conditions that minimize background while preserving specific signal.

  • Antibody dilution: Titrate antibody concentrations to find the optimal dilution that provides specific signal with minimal background. Start with manufacturer recommendations (e.g., 1:1000 for WB, 1:100 for flow cytometry with OTI1F7 clone) .

  • Pre-adsorption: For polyclonal antibodies with high background, consider pre-adsorbing against tissues or cell lysates from species cross-reactivity is problematic.

  • Buffer composition: Adjust salt concentration and detergent levels in washing buffers to reduce non-specific ionic and hydrophobic interactions.

  • Secondary antibody selection: Use highly cross-adsorbed secondary antibodies to prevent species cross-reactivity, especially important in multi-color or multi-species experiments.

  • Sequential probing strategy: For multiple antibodies on the same blot, optimize stripping conditions or use differentially labeled secondary antibodies for simultaneous detection.

What are the best approaches for quantifying PTPN11 expression or phosphorylation levels?

For accurate quantification of PTPN11:

  • Western blot densitometry: Use linear range exposure times and appropriate normalization controls (loading controls like GAPDH or β-actin). For phosphorylated PTPN11, normalize to total PTPN11 rather than housekeeping proteins.

  • Flow cytometry quantification: Use calibration beads to convert mean fluorescence intensity (MFI) values to absolute antibody binding capacity or molecules of equivalent soluble fluorochrome (MESF).

  • Image analysis for IHC/IF: Employ digital image analysis software with defined parameters for signal intensity measurement, considering both staining intensity and percentage of positive cells (H-score or Allred score systems).

  • ELISA-based quantification: For absolute quantification, develop or use commercial sandwich ELISA assays with PTPN11 antibodies as capture and detection reagents.

  • Mass spectrometry: For precise quantification of PTPN11 and specific phosphorylation sites, consider targeted mass spectrometry approaches with isotope-labeled standards.

  • Biological replicates: Always perform multiple biological replicates and appropriate statistical analyses to ensure reliable quantification of potentially variable expression or phosphorylation levels.

How should I interpret discrepancies in PTPN11 detection between different antibodies or techniques?

When facing discrepancies in PTPN11 detection:

  • Epitope accessibility: Different antibodies target distinct regions of PTPN11 that may be differentially accessible depending on protein conformation, protein-protein interactions, or post-translational modifications .

  • Isoform specificity: Confirm whether antibodies detect specific PTPN11 isoforms or splice variants. Some antibodies may preferentially recognize certain isoforms.

  • Technical limitations: Each detection method has inherent limitations. For example, formalin fixation in IHC may mask epitopes that are readily detected in Western blot using the same antibody.

  • Antibody validation: Re-evaluate antibody specificity using additional controls. Consider performing antibody validation experiments using PTPN11 knockdown or knockout samples.

  • Biological context: PTPN11 expression, localization, and modification state can vary dramatically across cell types and conditions. Apparent discrepancies may reflect true biological differences rather than technical artifacts.

  • Cross-reactivity assessment: Test for potential cross-reactivity with SHP-1 (PTPN6), which shares high structural homology with PTPN11 but has distinct functional roles .

  • Integrated approach: When possible, use multiple antibodies and complementary techniques to build a more complete understanding of PTPN11 biology in your system.

How can PTPN11 antibodies be utilized in single-cell analysis techniques?

For single-cell PTPN11 analysis:

  • Single-cell flow cytometry: Use flow cytometry-validated PTPN11 antibodies like OTI1F7 for high-throughput quantification of PTPN11 expression or phosphorylation at the single-cell level, allowing correlation with other cellular parameters.

  • Mass cytometry (CyTOF): Utilize metal-conjugated PTPN11 antibodies in mass cytometry panels for simultaneous measurement of dozens of proteins, including PTPN11 and its phosphorylated forms, without fluorescence spillover concerns.

  • Imaging mass cytometry: Combine the high-parameter capabilities of mass cytometry with tissue imaging to study PTPN11 expression and activation in the spatial context of tissues at subcellular resolution.

  • Single-cell Western blot: Apply this emerging technology to detect PTPN11 in individual cells, allowing analysis of cell-to-cell heterogeneity in expression or phosphorylation.

  • Microfluidic antibody capture: Use antibody-coated microfluidic devices to capture secreted proteins from individual cells for correlation with intracellular PTPN11 signaling states.

  • Spatial transcriptomics integration: Combine PTPN11 protein detection with spatial transcriptomics to correlate protein expression and activation with gene expression patterns at the single-cell level.

What considerations are important when studying PTPN11 in the context of hematopoietic development and malignancies?

For hematopoietic PTPN11 research:

  • Cell type specificity: PTPN11 plays distinct roles across different hematopoietic lineages. Use lineage-specific markers in combination with PTPN11 antibodies to analyze expression and activation patterns in specific cell populations .

  • Developmental stage analysis: During hematopoiesis, PTPN11 expression and function may vary across developmental stages. Design experiments to capture these dynamics using stage-specific markers.

  • Mutation analysis: In hematologic malignancies, PTPN11 mutations are clinically significant. Use antibodies that can still recognize mutated forms, potentially supplemented with sequencing data .

  • Microenvironmental context: Consider the bone marrow microenvironment when studying PTPN11 in hematopoietic contexts. Multiplex immunofluorescence or immunohistochemistry can help preserve spatial relationships.

  • Signaling pathway integration: PTPN11 intersects with multiple signaling pathways in hematopoietic cells. Design experiments to simultaneously assess PTPN11 status and relevant downstream effectors.

  • Therapy response monitoring: For malignancies with PTPN11 involvement, consider using PTPN11 antibodies to monitor therapy response, particularly for treatments targeting PTPN11 or related signaling components.

How can researchers effectively study the role of PTPN11 in complex signaling networks and pathway cross-talk?

To study PTPN11 in signaling networks:

  • Multiplexed phosphoprotein analysis: Use multiplexed approaches (multi-color flow cytometry, RPPAs, or mass cytometry) with PTPN11 antibodies alongside antibodies against other pathway components to capture network-level responses.

  • Temporal dynamics: Implement time-course experiments to capture the dynamic nature of PTPN11 signaling, as its activation and effects on downstream pathways can be highly transient.

  • Pathway inhibitor combinations: Combine PTPN11 detection with selective pathway inhibitors to dissect the contribution of PTPN11 to different signaling branches.

  • Mathematical modeling: Use quantitative PTPN11 data as inputs for computational models of signaling networks to predict system-level behaviors and generate testable hypotheses.

  • Genetic perturbation analysis: Combine PTPN11 antibody-based detection with genetic manipulation (CRISPR, siRNA) of pathway components to systematically map network dependencies.

  • Cross-pathway validation: When discovering new PTPN11 interactions or pathway connections, validate findings using multiple antibodies and complementary techniques to ensure robustness.

  • Single-cell correlation analysis: At the single-cell level, correlate PTPN11 activity with multiple downstream pathways to identify potential sources of cellular heterogeneity in signaling responses.

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