PTF1A Antibody, HRP conjugated

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Description

Detection in Western Blot

  • Identifies PTF1A at ~45 kDa in human cell lysates (e.g., Jurkat T-cell leukemia) .

  • Example protocol: Incubate membrane with 1 µg/mL primary antibody followed by HRP-conjugated secondary antibody .

Immunohistochemistry (IHC)

  • Localizes PTF1A in nuclei of pancreatic cancer cells and normal pancreatic tissue .

  • Protocol: 15 µg/mL primary antibody overnight at 4°C, visualized using HRP-DAB chromogenic kits .

Functional Studies

  • Pancreatic Cancer Research: PTF1A overexpression in pancreatic ductal adenocarcinoma (PDAC) reduces tumorigenic properties, including cell proliferation and chemoresistance .

  • Stem Cell Differentiation: PTF1A activation in embryonic stem cells induces pancreatic lineage markers like PDX1, critical for organogenesis .

Research Findings Using PTF1A Antibodies

StudyKey InsightMethod
PDAC DifferentiationPTF1A re-activation restores acinar gene programs (e.g., digestive enzymes) and reduces CSC populations .Western Blot, qPCR
Cerebellar DevelopmentPTF1A directly regulates Nephrin and Neph3 expression via PTF1-binding motifs .ChIP, EMSA
Embryonic PancreasPTF1A is essential for pancreas specification from foregut endoderm .Immunoblotting

Comparative Analysis of PTF1A Antibodies

AntibodyHostConjugationApplicationsReactivity
PTF1A, HRP (US Biological)RabbitHRPELISA, WB, IHCHuman
AF6119 (R&D Systems)GoatUnconjugatedWB, ICC/IF, IHCHuman, Mouse, Rat
S25-763 (BD Biosciences)MouseUnconjugatedFlow cytometry, IHCHuman, Mouse, Rat
12H4L4 (Thermo Fisher)RabbitUnconjugatedWB, ICC/IFHuman, Monkey, Rat

Validation and Quality Control

  • Specificity: Recognizes recombinant human PTF1A (Met1-Pro92; Accession #Q7RTS3) .

  • Cross-reactivity: Predicted reactivity with monkey, pig, bovine, and rat based on epitope conservation .

  • Controls: Includes isotype-matched IgG and unstained samples to rule out non-specific binding .

Technical Considerations

  • Storage: Stable at 4°C for short-term; long-term storage at -20°C in glycerol-based buffers.

  • Antigen Retrieval: Required for formalin-fixed tissues (e.g., enzymatic or heat-induced methods) .

Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Typically, we are able to dispatch the products within 1-3 working days after receiving your orders. Delivery timelines may vary based on the purchasing method or location. Please consult your local distributors for specific delivery details.
Synonyms
bHLH transcription factor p48 antibody; bHLHa29 antibody; Class A basic helix-loop-helix protein 29 antibody; Class II bHLH protein PTF1A antibody; Exocrine pancreas specific transcription factor p48 antibody; p48 DNA binding subunit of transcription factor PTF1 antibody; p48 DNA-binding subunit of transcription factor PTF1 antibody; PACA antibody; PAGEN2 antibody; Pancreas specific transcription factor 1a antibody; Pancreas transcription factor 1 subunit alpha antibody; Pancreas-specific transcription factor 1a antibody; PTF 1A antibody; PTF1 p48 antibody; PTF1-p48 antibody; Ptf1a antibody; PTF1A_HUMAN antibody; PTF1P48 antibody
Target Names
PTF1A
Uniprot No.

Target Background

Function
PTF1A is a transcription factor critically involved in cell fate determination across various organs. It binds to the E-box consensus sequence 5'-CANNTG-3'. PTF1A plays a crucial role in both early and late stages of pancreas development and differentiation. It is essential for determining whether cells committed to the pancreatic buds continue towards pancreatic organogenesis or revert to duodenal fates. PTF1A may contribute to the maintenance of exocrine pancreas-specific gene expression, including ELA1 and amylase. It is indispensable for the formation of pancreatic acinar and ductal cells. Additionally, PTF1A plays a significant role in cerebellar development. During retinal development, it is directly regulated by FOXN4 and RORC. Notably, the FOXN4-PTF1A pathway is central to directing the differentiation of retinal progenitors towards horizontal and amacrine cell fates.
Gene References Into Functions
  1. PTF1A, a non-neural progenitor transcription factor, is sufficient to reprogram mouse and human fibroblasts directly into self-renewing induced neural stem cells. These cells can differentiate into functional neurons, astrocytes, and oligodendrocytes. Furthermore, transplantation of these cells can improve cognitive dysfunction in Alzheimer's disease mouse models. (PMID: 30030434)
  2. This study elucidates the extensive gene regulation by PTF1A, which sustains the specific characteristics of pancreatic acinar cell identity and differentiation. PTF1A governs the pancreatic acinar transcriptional program through direct action at thousands of genes. It collaborates with other, less cell type-restricted factors to ensure acinar cell homeostasis and suppress other cell-type-specific programs. (PMID: 27697859)
  3. Data reveal isolated Pancreatic Aplasia stemming from a Hypomorphic PTF1A Mutation. (PMID: 27284104)
  4. Findings from this study suggest Ptf1a-dependent cell-fate misspecification as a novel mechanism underlying human brainstem pathology. (PMID: 26937009)
  5. PTF1A enhancer mutations have been implicated in the development of neonatal diabetes associated with pancreatic agenesis. (PMID: 26184423)
  6. Loss of Ptf1a alone is sufficient to induce acinar-to-ductal metaplasia, potentiate inflammation, and trigger a KRAS-permissive, pancreatic ductal adenocarcinoma-like gene expression profile. (PMID: 26151762)
  7. The results of this study do not support the hypothesis that high penetrant mutations within these regions of PTF1A are involved in the development of human VATER/VACTERL association or NTDs. (PMID: 25775927)
  8. Data indicate that E3 ubiquitin ligase thyroid hormone receptor-interacting protein 12 (TRIP12) promotes proteasomal degradation of pancreas transcription factor 1a (PTF1a) and regulates PTF1a activities. (PMID: 25355311)
  9. Recessive mutations in a distal PTF1A enhancer cause isolated pancreatic agenesis. (PMID: 24212882)
  10. ICAT is a novel Ptf1a interactor that regulates pancreatic acinar differentiation and exhibits altered expression. (PMID: 23339455)
  11. Ptf1a functions as a "pancreatic determiner". (PMID: 20668890)
  12. P48 interacts with the RBP-L and RBP-J subunits primarily through two short conserved tryptophan-containing motifs, similar to the motif of the Notch intracellular domain (NotchIC) that interacts with RBP-J. (PMID: 16354684)
  13. PTF1A plays a critical and selective role in the fate, survival, differentiation, and migration of climbing fiber neurons during their development in the transgenic murine inferior olivary nucleus. (PMID: 17928434)
  14. This study demonstrates a critical and selective role of p/CAF in PTF1-dependent gene activation during acinar differentiation. (PMID: 18834332)
  15. This report describes a new case of cerebellar agenesis and neonatal diabetes mellitus where both parents are carriers of PTF1A mutations. (PMID: 19650412)
  16. Two distinct genomic regions encode for the initiation and positive feedback of Ptf1a transgene expression in the developing nervous system. (PMID: 19741120)

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Database Links

HGNC: 23734

OMIM: 607194

KEGG: hsa:256297

STRING: 9606.ENSP00000365687

UniGene: Hs.351503

Involvement In Disease
Pancreatic and cerebellar agenesis (PACA); Pancreatic agenesis 2 (PAGEN2)
Subcellular Location
Nucleus. Cytoplasm.
Tissue Specificity
Pancreas-specific (at protein level). Loss of expression is seen in ductal type pancreas cancers.

Q&A

What is PTF1A and why is it an important research target?

PTF1A (Pancreas transcription factor 1 subunit alpha) is a crucial transcription factor involved in pancreatic development and neurogenesis. This protein, also known as Class A basic helix-loop-helix protein 29 (bHLHa29) or PTF1-p48, plays a fundamental role in determining cell fate and differentiation in pancreatic tissue. PTF1A is particularly significant for researchers studying pancreatic development, pancreatic cancer, and neurological development. As a transcription factor with a molecular weight of approximately 35-45 kDa, PTF1A has been detected in the nuclei of pancreatic cells and certain neuronal populations, making it a valuable marker for developmental and pathological studies . Its dysregulation has been implicated in various pancreatic diseases, making antibodies against this protein essential tools in both basic and translational research.

What are the key characteristics of PTF1A Antibody with HRP conjugation?

PTF1A Antibody with HRP conjugation is a research-grade polyclonal antibody developed in rabbit hosts that directly targets human PTF1A protein. The antibody is conjugated to Horseradish Peroxidase (HRP), a 44 kDa glycoprotein with 6 lysine residues that enables direct visualization through chromogenic reactions . This conjugation eliminates the need for secondary antibody incubation steps, streamlining experimental protocols. The antibody is typically supplied in liquid form with a buffer comprising 0.03% Proclin 300 as a preservative, 50% glycerol, and 0.01M PBS at pH 7.4 . It requires storage at -20°C or -80°C with careful handling to avoid repeated freeze-thaw cycles that can compromise antibody performance. The direct HRP conjugation offers significant advantages in applications like ELISA, immunohistochemistry, and western blotting by reducing background noise and cross-reactivity issues common in multi-step detection protocols .

What are the primary applications for PTF1A Antibody, HRP conjugated?

PTF1A Antibody with HRP conjugation has been validated for several research applications with distinct methodological advantages. For ELISA assays, the direct HRP conjugation eliminates the need for secondary antibody steps, reducing background signal and streamlining the protocol . In Western blot applications, this antibody has successfully detected PTF1A protein in Jurkat human acute T cell leukemia cell lysates at approximately 45 kDa under reducing conditions . For immunocytochemistry, the antibody has effectively labeled PTF1A in fixed human pancreatic cancer cells at concentrations of 10 μg/mL, with specific staining localized to nuclei . In immunohistochemistry applications, it has been used at 15 μg/mL on paraffin-embedded human pancreas sections with overnight incubation at 4°C, detecting nuclear localization of PTF1A . The direct HRP conjugation allows for immediate chromogenic detection using substrates like diaminobenzidine (DAB) in the presence of hydrogen peroxide, producing a stable brown precipitate that precisely marks the antigen location .

How should optimal antibody concentration be determined for different applications?

Determining the optimal working concentration of PTF1A Antibody, HRP conjugated requires methodical titration experiments customized for each application. For Western blot applications, begin with a concentration range of 0.5-2 μg/mL (based on detection of PTF1A at 1 μg/mL in Jurkat cell lysates as a reference point) . Prepare a dilution series using blocking buffer and run parallel blots with identical samples to identify the concentration that yields the highest signal-to-noise ratio. For immunohistochemistry experiments, a concentration range of 5-20 μg/mL should be tested (with 15 μg/mL serving as an effective starting point based on published data) . The optimal concentration may vary significantly depending on tissue fixation method, with paraformaldehyde-fixed tissues potentially requiring lower antibody concentrations than formalin-fixed tissues. For ELISA applications, prepare a detailed antibody titration series ranging from 0.1-5 μg/mL against a standard curve of recombinant PTF1A protein . Importantly, all optimization experiments should include appropriate negative controls (secondary-only for indirect detection methods, isotype controls, and tissue samples known to lack PTF1A expression) to accurately assess background signal levels.

What strategies can be employed to troubleshoot weak or absent signal in Western blot experiments?

Addressing weak or absent PTF1A signal in Western blots requires systematic troubleshooting of multiple experimental parameters. First, verify protein transfer efficiency using reversible staining methods such as Ponceau S before immunodetection. Consider that PTF1A, with its approximately 45 kDa molecular weight, may require optimized transfer conditions—specifically 100V for 60-90 minutes in a wet transfer system . If signal remains weak, implement an antigen retrieval step by heating the membrane in citrate buffer (pH 6.0) for 10-15 minutes at 95°C before blocking. Examine protein loading concentration; PTF1A may require loading 50-75 μg of total protein from samples with lower expression levels. The reducing conditions are critical; ensure fresh DTT or β-mercaptoethanol in your sample buffer as PTF1A detection has been validated under reducing conditions . If background is high but specific signal is weak, consider modifying blocking conditions by testing different blocking agents (5% BSA versus 5% non-fat milk) and extending blocking time to 2 hours at room temperature. For tissues or cell lines with suspected low expression, consider enriching nuclear proteins through subcellular fractionation techniques before Western blotting, as PTF1A is primarily localized to the nucleus .

How can researchers establish specificity of PTF1A antibody staining in immunohistochemistry?

Establishing definitive specificity of PTF1A antibody staining in immunohistochemistry requires implementation of rigorous validation protocols. Begin with anatomical validation by confirming that PTF1A staining appears in nuclei of pancreatic acinar cells and developing cerebellar tissue, where expression has been well-documented . Include a competitive inhibition assay wherein pre-incubation of the antibody with excess recombinant human PTF1A protein (224-325AA region) should abolish specific staining patterns . Implement dual staining approaches using a second validated PTF1A antibody raised in a different host species against a different epitope; co-localization of signals strongly supports specificity. For genetic validation, compare staining patterns between wild-type tissues and PTF1A-knockout models (if available) or use tissue samples with siRNA-mediated PTF1A knockdown. Technical controls should include substitution of primary antibody with rabbit IgG at the same concentration, which should yield no specific nuclear staining. Additionally, perform staining on tissue types known to lack PTF1A expression (such as adult liver) to confirm absence of cross-reactivity with other proteins . Document and quantify staining patterns using digital image analysis to establish a reproducible specificity profile across multiple tissue samples.

What are the critical buffer considerations when using PTF1A antibody with HRP conjugation?

Buffer composition significantly impacts the performance and stability of PTF1A antibody with HRP conjugation. The standard storage buffer containing 50% glycerol, 0.01M PBS at pH 7.4, and 0.03% Proclin 300 preservative is optimized to maintain antibody structure and conjugate activity . When diluting the antibody for experimental use, avoid buffers containing sodium azide, which irreversibly inhibits HRP activity even at concentrations as low as 0.02%. For Western blot applications, dilute the antibody in blocking buffer (typically 5% non-fat milk or 3% BSA in TBST) immediately before use rather than storing diluted antibody. For immunohistochemistry applications requiring antigen retrieval, citrate buffer (pH 6.0) is generally preferred over EDTA-based buffers as it better preserves epitope recognition without compromising HRP activity. When conducting chromogenic detection, prepare hydrogen peroxide fresh for each experiment, as degraded H₂O₂ significantly reduces signal development. For long-term storage, aliquot the antibody into single-use volumes to minimize freeze-thaw cycles, as each cycle can reduce HRP activity by approximately 20% . Buffer considerations for the Lightning-Link® HRP conjugation system are particularly important; the antibody must be free of carriers, stabilizers, and amine-containing additives that can interfere with the conjugation chemistry .

How should researchers design multiplexing experiments involving PTF1A antibody, HRP conjugated?

Designing effective multiplexing experiments with PTF1A antibody, HRP conjugated requires careful planning to prevent signal overlap and cross-reactivity. For chromogenic multiplexing in immunohistochemistry, implement sequential staining protocols rather than simultaneous antibody incubation. Begin with PTF1A antibody detection using DAB substrate (yielding a brown precipitate), followed by complete inactivation of HRP using 3% hydrogen peroxide for 15 minutes before applying the second primary antibody . Select contrasting chromogens for subsequent antibodies, such as Vector Red (red precipitate) or BCIP/NBT (blue precipitate) to clearly distinguish target proteins. For fluorescent multiplexing, although the antibody is HRP-conjugated, employ tyramide signal amplification (TSA) to convert the HRP activity to a fluorescent signal using fluorophore-conjugated tyramide substrates . This approach allows subsequent heat-mediated stripping of antibodies while preserving the initial fluorescent signal. When designing panels, pair PTF1A with markers of cellular differentiation (like amylase for exocrine pancreas or insulin for endocrine pancreas) or developmental regulators (like Ngn3) to gain deeper biological insights . For co-expression analysis in subcellular compartments, use nuclear counterstains like DAPI at lower intensities to avoid masking the nuclear PTF1A signal, and employ confocal microscopy with z-stack acquisition to accurately resolve nuclear versus cytoplasmic signals .

What quantification methods are recommended for PTF1A immunostaining analysis?

Quantification of PTF1A immunostaining requires specialized approaches tailored to its predominantly nuclear localization pattern. For immunohistochemistry samples, implement digital pathology approaches using software platforms capable of nuclear segmentation (such as QuPath, ImageJ with nuclear detection plugins, or CellProfiler). Configure algorithms to detect nuclei based on hematoxylin counterstain, then quantify DAB intensity specifically within nuclear compartments . For reliable quantification, establish standard thresholds for positive versus negative nuclei based on control samples and maintain consistent acquisition parameters (exposure time, microscope settings) across all experimental groups. Since PTF1A expression can be heterogeneous within tissues, analyze multiple random fields (minimum of 10) with at least 200 cells per field to obtain statistically meaningful data. For Western blot quantification, normalize PTF1A band intensity to both a loading control (β-actin) and a nuclear protein control (such as Lamin B1 or Histone H3) to account for variations in nuclear protein extraction efficiency . For comparing expression levels across different experimental conditions, construct standard curves using recombinant PTF1A protein at known concentrations to ensure signal linearity within your detection range. Present quantitative data as either percentage of positive nuclei (for immunohistochemistry) or relative expression normalized to controls (for Western blots), with appropriate statistical analysis including mean, standard deviation, and tests for significance between experimental groups.

How can PTF1A antibody be used to investigate pancreatic development and differentiation?

PTF1A antibody with HRP conjugation serves as a powerful tool for investigating pancreatic development through multiple methodological approaches. In developmental time-course studies, implement sequential tissue sampling from embryonic, neonatal, and adult pancreatic tissues with PTF1A immunohistochemistry to track temporal expression patterns . Co-staining with early pancreatic progenitor markers (Pdx1, Sox9) and later differentiation markers (amylase, CPA1 for acinar cells; insulin, glucagon for endocrine cells) can reveal developmental lineage relationships. For in vitro differentiation models, such as directed differentiation of stem cells into pancreatic lineages, use PTF1A antibody in flow cytometry or immunofluorescence at specific time points to quantify differentiation efficiency into acinar cell populations. In genetic manipulation experiments, combine PTF1A antibody staining with lineage tracing techniques (using Cre-loxP systems with fluorescent reporters) to definitively establish cell fate decisions. For studies of pancreatic regeneration following injury, employ PTF1A immunodetection to identify cells undergoing acinar-to-ductal metaplasia or dedifferentiation, which often show altered PTF1A expression patterns . When examining the effects of signaling pathway modulators on pancreatic differentiation, quantitative analysis of nuclear PTF1A intensity can serve as a sensitive readout of acinar cell commitment. The precise nuclear localization of PTF1A staining provides a clear advantage for distinguishing true differentiation events from non-specific changes in cellular morphology.

What approaches can be used to analyze PTF1A protein-protein interactions in research contexts?

Analyzing PTF1A protein-protein interactions requires specialized techniques that preserve protein complexes while maintaining antibody specificity. Implement co-immunoprecipitation (Co-IP) protocols using PTF1A antibody (non-HRP conjugated versions) coupled to Protein G magnetic beads to pull down PTF1A protein complexes from nuclear extracts, followed by Western blotting for suspected interaction partners like RBPJ, E2A, or other bHLH transcription factors . For more comprehensive interaction profiling, perform immunoprecipitation followed by mass spectrometry (IP-MS) of the precipitated complexes to identify novel binding partners. In situ detection of protein interactions can be achieved through proximity ligation assays (PLA), which require a second antibody against the suspected interaction partner raised in a different host species; this technique produces fluorescent signals only when the two proteins are within 40nm proximity, suggesting direct interaction. For investigating dynamic interactions in living cells, consider bimolecular fluorescence complementation (BiFC) by creating fusion constructs of PTF1A and suspected binding partners with split fluorescent protein fragments. Chromatin immunoprecipitation (ChIP) using PTF1A antibody followed by sequencing (ChIP-seq) or PCR (ChIP-PCR) can identify genomic binding sites and, when combined with other transcription factor ChIP data, reveal co-binding patterns indicative of cooperative interactions . For validating direct interactions identified through these methods, implement in vitro binding assays using purified recombinant proteins and surface plasmon resonance or isothermal titration calorimetry to determine binding affinities and kinetics.

How can PTF1A antibody be applied in pancreatic cancer research models?

PTF1A antibody, HRP conjugated provides critical insights in pancreatic cancer research across multiple experimental paradigms. In patient-derived xenograft (PDX) models, quantitative immunohistochemistry of PTF1A can be used to assess differentiation status, as loss of PTF1A expression often correlates with dedifferentiation and poorer prognosis in pancreatic ductal adenocarcinoma (PDAC) . For studying acinar-to-ductal metaplasia (ADM), a precursor to pancreatic intraepithelial neoplasia (PanIN), implement time-course experiments with dual immunofluorescence for PTF1A and ductal markers like CK19 to track the progressive loss of acinar identity. In 3D organoid cultures derived from normal or neoplastic pancreatic tissue, PTF1A immunostaining can serve as a readout for differentiation-inducing therapeutic approaches, with quantitative image analysis of nuclear PTF1A intensity across treatment conditions . For genetic models of pancreatic cancer, such as KPC (KrasG12D; Trp53R172H; Pdx1-Cre) mice, track PTF1A expression changes during disease progression to identify windows for potential intervention. When evaluating epigenetic modulators as potential therapeutics, changes in PTF1A expression can indicate restoration of differentiation programs. For cancer stem cell research, combine PTF1A staining with putative cancer stem cell markers to determine if stem-like populations retain any acinar differentiation features . In clinical sample analysis, develop tissue microarrays with pancreatic cancer specimens at various stages and degrees of differentiation to correlate PTF1A expression patterns with patient outcomes, treatment responses, and molecular subtypes.

What are the essential positive and negative controls for validating PTF1A antibody specificity?

Establishing a comprehensive control framework is essential for validating PTF1A antibody specificity across experimental systems. For positive tissue controls, normal human pancreatic tissue sections containing acinar cells should consistently demonstrate nuclear PTF1A staining . Developmental tissue controls such as embryonic cerebellum also serve as excellent positive controls due to well-documented PTF1A expression during neurogenesis. For cell line positive controls, pancreatic acinar cell lines or Jurkat cells have been validated to express detectable levels of PTF1A . Essential negative tissue controls include adult liver or lung tissues, which should show minimal to no PTF1A expression. For antibody technical controls, implement primary antibody omission, isotype controls (rabbit IgG at equivalent concentration), and pre-absorption controls where the antibody is pre-incubated with excess recombinant PTF1A protein (224-325AA) before application to tissues . Genetic negative controls provide the most stringent validation; tissues from PTF1A knockout models or cells with CRISPR-mediated PTF1A deletion should show complete absence of staining. For detection system controls, especially important with HRP-conjugated antibodies, include substrate-only controls (DAB + H₂O₂ without antibody) to assess potential endogenous peroxidase activity that might generate false positive signals. Document all controls systematically with images acquired under identical settings to experimental samples, and maintain a validation dossier that includes lot-specific verification of each control type.

How should researchers interpret variable PTF1A staining intensity across different tissue samples?

Interpreting variable PTF1A staining intensity requires careful consideration of biological, technical, and analytical factors that influence immunohistochemical results. At the biological level, recognize that PTF1A expression naturally varies during development and cellular differentiation; embryonic pancreatic tissue typically shows stronger nuclear staining than adult pancreatic tissue, reflecting its role in developmental programming . Technical variables significantly impact staining intensity; fixation duration beyond 24 hours can progressively mask PTF1A epitopes, necessitating more rigorous antigen retrieval. Tissue processing artifacts include edge effects (stronger staining at sample periphery), so systematically exclude tissue edges from quantitative analyses. Implement standardized scoring systems with clear intensity thresholds (0 = negative, 1+ = weak, 2+ = moderate, 3+ = strong) calibrated against control tissues processed simultaneously . For automated image analysis, use internal reference features like strongly positive nuclei to normalize intensity measurements across batches. When comparing pathological specimens, account for disease-associated changes in nuclear morphology that may concentrate or dilute the PTF1A signal. Distinguish between changes in staining intensity (potentially reflecting protein expression levels) and changes in the percentage of positive nuclei (reflecting altered cell populations). For clinical samples, correlation with other differentiation markers can help distinguish true biological variation from technical artifacts. Document pre-analytical variables (time to fixation, fixative type, storage conditions) that might explain unexpected variations in staining patterns across samples.

What approaches can address potential cross-reactivity in PTF1A antibody applications?

Addressing potential cross-reactivity of PTF1A antibody requires systematic investigation and implementation of specialized controls. Begin with in silico analysis to identify proteins with sequence homology to the immunogen region (amino acids 224-325 of human PTF1A) and incorporate Western blot analysis on tissue lysates from multiple organs to confirm the antibody detects a single band of appropriate molecular weight (approximately 45 kDa) . For tissues with unexpected PTF1A staining, perform competitive inhibition experiments with recombinant PTF1A protein at increasing concentrations; true PTF1A signal should show dose-dependent reduction, while cross-reactive signals may persist. Employ peptide array technology to precisely map the epitope(s) recognized by the antibody and identify potential cross-reactive motifs in other proteins. Implement dual staining approaches using a second validated PTF1A antibody targeting a different epitope; only true PTF1A staining should show co-localization. For critical research applications, consider pre-clearing the antibody by absorption against tissues known to lack PTF1A but showing potential cross-reactivity . When working with non-human species, perform sequence alignment of the immunogen region across species to predict potential differences in reactivity. For difficult tissues with high background or suspected cross-reactivity, modify immunohistochemistry protocols to include extended blocking steps (2-3 hours) with mixed blocking agents (5% BSA, 5% normal serum, and 0.3% Triton X-100). When cross-reactivity cannot be eliminated, implement dual staining with cell-type specific markers to clearly distinguish the cell populations of interest from potentially cross-reactive populations.

What methodological considerations are crucial when using PTF1A antibody for chromogenic immunohistochemistry?

Successful chromogenic immunohistochemistry with PTF1A antibody requires methodological refinements at multiple protocol stages. For tissue preparation, optimal fixation parameters include 10% neutral buffered formalin for 12-24 hours followed by standard paraffin embedding processes; over-fixation significantly reduces antigen accessibility . Antigen retrieval is critical; heat-induced epitope retrieval in citrate buffer (pH 6.0) at 95-98°C for 20 minutes has proven effective for exposing PTF1A epitopes in paraffin sections. Implement dual blocking strategy with 3% hydrogen peroxide (15 minutes) to quench endogenous peroxidase activity followed by protein blocking with 5% normal serum from the same species as the secondary antibody (if using indirect detection) or 3% BSA (if using direct HRP-conjugated antibody) . Antibody dilution preparation should occur immediately before use in fresh blocking buffer without sodium azide, which inhibits HRP activity. For directly conjugated PTF1A-HRP antibody, optimal concentration typically ranges between 10-15 μg/mL with overnight incubation at 4°C in a humidified chamber . DAB development requires careful timing optimization; monitor under microscope and standardize development time (typically 3-5 minutes) across experimental groups to enable meaningful comparison. Counterstaining with hematoxylin should be light (15-30 seconds with Mayer's hematoxylin) to avoid obscuring the nuclear PTF1A signal . For automated staining platforms, reduce primary antibody concentration by approximately 25% compared to manual protocols due to improved reagent delivery efficiency.

How should researchers optimize Western blot protocols specifically for PTF1A detection?

Optimizing Western blot protocols for PTF1A detection requires specific modifications to standard procedures. Begin with effective protein extraction; since PTF1A is predominantly nuclear, implement nuclear extraction protocols using NE-PER reagents or high-salt buffer extraction methods rather than standard whole-cell lysis approaches . For sample preparation, maintain reducing conditions with fresh DTT (50 mM) or β-mercaptoethanol (5%) in sample buffer, as PTF1A detection has been validated under these conditions. Heat samples at 95°C for exactly 5 minutes—extended heating can cause protein aggregation while insufficient heating may leave protein complexes intact. During electrophoresis, use 10-12% polyacrylamide gels to achieve optimal resolution around the 45 kDa range where PTF1A migrates . For protein transfer, wet transfer systems at 100V for 60 minutes with methanol-containing transfer buffer have shown superior results compared to semi-dry transfer methods. Membrane blocking requires careful optimization; 5% non-fat milk in TBST has generally proven more effective than BSA-based blocking for reducing background with this antibody. When using HRP-conjugated PTF1A antibody, dilute to 0.5-1 μg/mL in blocking buffer without sodium azide and incubate overnight at 4°C with gentle agitation . For enhanced chemiluminescence (ECL) detection, use high-sensitivity substrates for detecting endogenous PTF1A in non-transfected cells, but standard ECL is sufficient for transfected or overexpression systems. For stripping and reprobing, mild stripping buffers (glycine-based, pH 2.2) are preferred over harsh stripping buffers that might damage transferred proteins. When quantifying PTF1A expression, always normalize to both a general loading control (β-actin) and a nuclear protein control (Lamin B1) to account for fractionation efficiency .

How might PTF1A antibodies contribute to regenerative medicine approaches for diabetes?

PTF1A antibodies with HRP conjugation hold significant potential in advancing regenerative medicine strategies for diabetes through multiple research applications. In directed differentiation protocols converting stem cells to pancreatic lineages, PTF1A immunostaining serves as a critical checkpoint for successful acinar specification, allowing researchers to track nuclear translocation of this transcription factor as a definitive marker of commitment . Quantitative assessment of PTF1A expression in differentiated cell populations provides a metric for optimizing differentiation protocols, with higher nuclear PTF1A levels correlating with improved functional outcomes in acinar cell generation. For transdifferentiation approaches, where hepatocytes or other cell types are reprogrammed toward pancreatic fates, PTF1A antibody enables precise temporal monitoring of conversion milestones . In tissue engineering applications, PTF1A immunostaining of bioprinted or scaffold-based pancreatic organoids can verify maintenance of differentiated acinar phenotypes after implantation. For monitoring pancreatic tissue engraftment in vivo, the nuclear specificity of PTF1A staining helps distinguish donor-derived pancreatic tissue from host tissue in chimeric models. The antibody also facilitates investigation of cross-talk between different pancreatic cell types (acinar, ductal, endocrine) in engineered tissues by enabling multiplex staining protocols. As regenerative medicine approaches advance toward clinical application, developing standardized PTF1A immunostaining protocols with precisely calibrated positive and negative controls will be essential for quality control of cell products intended for therapeutic use. The direct HRP conjugation offers particular advantages for high-throughput screening applications where rapid assessment of differentiation status across multiple treatment conditions is required .

What role could PTF1A antibody play in understanding neurodevelopmental disorders?

PTF1A antibody with HRP conjugation offers valuable research applications for investigating neurodevelopmental disorders, particularly those affecting cerebellar and retinal development where PTF1A plays crucial roles. In cerebellar development research, immunohistochemical detection of PTF1A enables precise mapping of GABAergic inhibitory interneuron progenitors, allowing researchers to detect subtle abnormalities in neuronal specification and migration that may underlie cerebellar ataxias or autism spectrum disorders . For developmental time-course studies, the nuclear specificity of PTF1A staining provides clear identification of neuronal commitment stages when combined with markers of progenitor status (Sox2, Nestin) and neuronal differentiation (NeuN, Map2). In patient-derived induced pluripotent stem cell (iPSC) models of neurodevelopmental disorders, PTF1A immunostaining can serve as a quantifiable readout of GABAergic neuron specification efficiency, potentially revealing disease-associated differentiation defects. For studies of retinal development and disorders, PTF1A antibody enables tracking of amacrine and horizontal cell specification, which may be disrupted in congenital visual processing disorders . In genetic models with conditional PTF1A deletion, the antibody provides essential validation of knockout efficiency in specific neural tissues. The direct HRP conjugation facilitates high-resolution chromogenic detection in delicate embryonic tissues where fluorescence-based approaches may yield higher background. Additionally, combining PTF1A immunostaining with markers of neuronal subtype identity can reveal shifts in inhibitory versus excitatory neuron balance in various neurodevelopmental conditions, potentially identifying therapeutic targets for conditions characterized by excitatory/inhibitory imbalance like epilepsy or certain forms of autism.

How can researchers effectively integrate PTF1A antibody data with multi-omics approaches?

Integrating PTF1A antibody data with multi-omics approaches requires sophisticated methodological frameworks to generate meaningful biological insights. Begin by establishing spatial correlation between PTF1A immunohistochemistry and regions selected for laser capture microdissection prior to transcriptomic or proteomic analysis; this enables direct comparison between PTF1A protein expression patterns and corresponding molecular profiles . For single-cell approaches, implement sequential methodologies where PTF1A immunostaining guides FACS isolation of specific cell populations for subsequent single-cell RNA sequencing, creating matched datasets that link transcriptional states to protein expression levels. In epigenomic integration, correlate PTF1A ChIP-seq data with H3K27ac, H3K4me3, or ATAC-seq datasets to identify active enhancers and promoters in PTF1A-expressing cell populations . For proteomics integration, use PTF1A co-immunoprecipitation followed by mass spectrometry to identify protein interaction networks, then validate key interactions with proximity ligation assays using the HRP-conjugated antibody with tyramide signal amplification. When analyzing developmental trajectories, implement pseudotime analysis of transcriptomic data from sorted cell populations with known PTF1A expression status to map differentiation pathways. For clinical sample analysis, apply multiplex immunohistochemistry with PTF1A and other markers to annotate regions for spatial transcriptomics, enabling direct correlation between PTF1A protein expression and local gene expression patterns. Computationally, develop integrated visualization tools that overlay PTF1A immunostaining intensity data with clustered gene expression data to identify transcriptional programs associated with varying levels of PTF1A expression. This multi-modal approach provides a systems-level understanding of PTF1A's role in cellular differentiation and function across developmental, physiological, and pathological contexts.

ApplicationRecommended PTF1A Antibody ConcentrationIncubation ConditionsDetection MethodKey Controls
Western Blot0.5-2 μg/mLOvernight at 4°CECL chemiluminescenceJurkat cell lysate (positive), HeLa cells (negative)
IHC (FFPE sections)10-15 μg/mLOvernight at 4°CDAB chromogenNormal pancreas (positive), adult liver (negative)
ICC (fixed cells)5-10 μg/mL3 hours at room temperatureFluorescent TSA or DABPancreatic cancer cells (positive), fibroblasts (negative)
ELISA1-5 μg/mL2 hours at room temperatureTMB substrateRecombinant PTF1A protein standard curve
ChIP5 μg per IP reactionOvernight at 4°CqPCR or sequencingIgG control, input normalization

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