Phospho-NFKB1 (Ser893) Antibody

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Product Specs

Form
Supplied at 1.0mg/mL in phosphate buffered saline (without Mg2+ and Ca2+), pH 7.4, 150mM NaCl, 0.02% sodium azide and 50% glycerol.
Lead Time
Typically, we can ship your orders within 1-3 business days after receiving them. Delivery time may vary depending on the purchase method or location. Please consult your local distributor for specific delivery times.
Synonyms
DKFZp686C01211 antibody; DNA binding factor KBF1 antibody; DNA binding factor KBF1 EBP1 antibody; DNA-binding factor KBF1 antibody; EBP 1 antibody; EBP-1 antibody; EBP1 antibody; KBF1 antibody; MGC54151 antibody; nf b antibody; NF kappa B antibody; NF kappaB antibody; NF kappabeta antibody; NF kB1 antibody; NF-kappaB antibody; NFkappaB antibody; NFKB 1 antibody; NFKB p105 antibody; NFKB p50 antibody; NFKB-p105 antibody; Nfkb1 antibody; NFKB1_HUMAN antibody; Nuclear factor kappa B DNA binding subunit antibody; Nuclear factor kappa-B antibody; Nuclear factor kappa-B, subunit 1 antibody; Nuclear factor NF kappa B p105 subunit antibody; Nuclear factor NF kappa B p50 subunit antibody; Nuclear factor NF-kappa-B p50 subunit antibody; Nuclear factor of kappa light chain gene enhancer in B cells 1 antibody; Nuclear factor of kappa light polypeptide gene enhancer in B cells 1 antibody; Nuclear factor of kappa light polypeptide gene enhancer in B-cells 1 antibody; p105 antibody; p50 antibody; p84/NF-kappa-B1 p98 antibody; Transcription factor NFKB1 antibody
Target Names
Uniprot No.

Target Background

Function
NF-kappa-B is a versatile transcription factor found in almost all cell types. It serves as the endpoint of a series of signal transduction events initiated by a wide range of stimuli. These stimuli are associated with numerous biological processes such as inflammation, immunity, differentiation, cell growth, tumorigenesis, and apoptosis. NF-kappa-B is a homo- or heterodimeric complex composed of the Rel-like domain-containing proteins RELA/p65, RELB, NFKB1/p105, NFKB1/p50, REL, and NFKB2/p52. The heterodimeric p65-p50 complex appears to be the most prevalent. These dimers bind to kappa-B sites in the DNA of their target genes, exhibiting distinct preferences for different kappa-B sites. They bind with varying affinities and specificities. Different dimer combinations act as transcriptional activators or repressors. NF-kappa-B is regulated by various mechanisms involving post-translational modifications, subcellular compartmentalization, and interactions with other cofactors or corepressors. NF-kappa-B complexes are held in the cytoplasm in an inactive state, complexed with members of the NF-kappa-B inhibitor (I-kappa-B) family. In a conventional activation pathway, I-kappa-B is phosphorylated by I-kappa-B kinases (IKKs) in response to different activators, subsequently degraded. This liberation of the active NF-kappa-B complex allows its translocation to the nucleus. NF-kappa-B heterodimeric p65-p50 and RelB-p50 complexes are transcriptional activators. The NF-kappa-B p50-p50 homodimer functions as a transcriptional repressor, but can act as a transcriptional activator when associated with BCL3. NFKB1 exhibits dual functions, including cytoplasmic retention of attached NF-kappa-B proteins by p105 and the generation of p50 through cotranslational processing. The proteasome-mediated process ensures the production of both p50 and p105, preserving their independent functions. However, processing of NFKB1/p105 also appears to occur post-translationally. p50 binds to the kappa-B consensus sequence 5'-GGRNNYYCC-3', located in the enhancer region of genes involved in immune response and acute phase reactions. In a complex with MAP3K8, NFKB1/p105 represses MAP3K8-induced MAPK signaling; active MAP3K8 is released by proteasome-dependent degradation of NFKB1/p105.
Gene References Into Functions
  1. NF-kappaB signaling contributes to prostate cancer cell proliferation and migration via androgen receptor and estrogen receptor beta. PMID: 30236540
  2. PKC-delta isoform plays a crucial role in Tat-TLR4 signaling pathway to activate NF-kappaB and CXCL8 production. PMID: 28539656
  3. Knockdown of cyclin dependent kinase inhibitor 2A (p16INK4A) in cardiac stem/progenitor cell (hCPC) reverses the senescent phenotype and has an antioxidant effect on aging hCPCs via NF-KAPPA B (NF-kB) signaling. PMID: 29675777
  4. Chandipura virus infection triggered the activation of signaling pathways mediated by mitogen-activated protein kinases, including p38, JNK 1 and 2, and nuclear factor kappaB. PMID: 30001342
  5. TSPAN15 interacts with BTRC to promote oesophageal squamous cell carcinoma metastasis via activating NF-kappaB signaling. PMID: 29650964
  6. FABP5 promotes lipolysis of lipid droplets, de novo fatty acid synthesis and activation of NF-kappaB signaling in cancer cells. PMID: 29906613
  7. Prognostic significance of NF-kappaB expression in non-small cell lung cancer PMID: 29813121
  8. LMP1 functions to constitutively activate NF-kappaB signalling during nasopharynx cancer pathogenesis. PMID: 28098136
  9. NF-kappaB signalling may repress ANT1 gene transcription and impair mitochondrial functions. PMID: 28317877
  10. High NFKB expression is associated with chemotherapeutic resistance in gastric cancer. PMID: 30106453
  11. PGF promotes epithelial-mesenchymal transition-like changes in retinal pigment epithelium cells under hypoxia by activating the NF-kappaB signaling pathway. PMID: 29769799
  12. Data indicated that nestin regulated NF-kappa B (NF-kappaB) activity in foetal spinal cord tissues. PMID: 29697001
  13. NF-kappaB p50 and NF-kappaB p65 in thyroid carcinoma were positively associated with tumour diameter and the presence of lymph node metastasis PMID: 30014762
  14. This study establishes PML as an important regulator of NF-kappaB and demonstrates that PML-RARalpha dysregulates NF-kappaB. PMID: 28317833
  15. Notch signaling can initiate Asb2 transcription and NF-kappa B activation in T cell acute lymphoblastic leukemia cells. PMID: 30116272
  16. High NFKB expression is associated with colorectal cancer cell migration, invasion and metastasis PMID: 30015978
  17. These findings indicated that microRNA-98 could promote apoptosis of glioma cells via inhibiting inhibitor of kappa B kinase epsilon/nuclear factor-kappa B signaling and presented a novel regulatory pathway of microRNA-98 by direct suppression of inhibitor of kappa B kinase epsilon/nuclear factor-kappa B expression in glioma cells. PMID: 29333957
  18. Anti-rotavirus effect of TNF-alpha was achieved by NFkappaB-regulated genes via the activation of classical nuclear factor kappaB (NF-kappaB) signaling. PMID: 29859235
  19. Knockdown of REG-GAMMA (REGgamma) may inhibit the proliferation and migration, and promote the apoptosis of plasma cell myeloma RPMI-8226 cells possibly by downregulating NF-kappa-B (NF-kappaB) signal pathway. PMID: 29020881
  20. L5-LDL, a naturally occurring mild oxidized LDL, induced G-CSF and GM-CSF production in human macrophages through LOX-1, ERK2, and NF-kappaB dependent pathways PMID: 29078142
  21. Priming cells with IFNbeta synergistically enhances IL6 induction in response to treatments that activate NF-kappaB, in a process that depends upon the recruitment of STAT2, IRF9. PMID: 29581268
  22. HMGB1 promoted lung cancer invasion and metastasis by upregulating the expression and activity of MMP-2 in an NF-kappaB-dependent manner. PMID: 29850505
  23. NF-kappaB activation in breast cancer cells depends on the presence of the CHORDC1 gene product Morgana. PMID: 29158506
  24. Data suggest the angiopoietin-like 8 (ANGPTL8)/p62-IKKgamma axis as a negative feedback loop that regulates NF-kappaB activation, and extends the role of selective autophagy in fine-tuned inflammatory responses. PMID: 29255244
  25. Studied role of bone marrow stromal cell antigen 2 (BST2) in gastric cancer (GC); results show BST2 is overexpressed in GC tissues and BST2 silencing inhibits cell proliferation and migration, partly by regulating NF-kappaB signaling. PMID: 29774441
  26. vaspin decreased miR-33a levels, which in turn increased ABCA1 expression and cholesteorl efflux. PMID: 29653102
  27. these results define a tumor-supportive role for CDCA3. PMID: 29627567
  28. NFKB1 variants were significantly associated with type 2 diabetes PMID: 29601852
  29. NF-kappaB has been identified as the main transcription factor regulating the induction of inflammation-related genes in intracranial aneurysms lesions. This transcription factor has also been related to intracranial aneurysms rupture and resulting Subarachnoid Hemorrhage. [review] PMID: 29671828
  30. miR-150 predicts survival in patients with sepsis and inhibits lipopolysaccharide-induced inflammatory factors and apoptosis by targeting NF-kappaB1 in human umbilical vein endothelial cells. PMID: 29689269
  31. These results illustrate an alternative mechanism of HIV-1 Vpr regulation of Kaposi's sarcoma-associated herpesvirus (KSHV) latency and aberrant cytokines through the miR-711/Notch/NF-kappaB axis. Our novel findings further demonstrate the role of an HIV-1-secreted regulatory protein in the KSHV life cycle and KSHV-related malignancies. PMID: 29976660
  32. In conclusion, HSP70 modulates NF-kappaB activation in alveolar macrophages of TB patients, through inhibiting IkappaB-alpha phosphorylation or acting as a chaperon molecule to prevent NF-kappaB binding to the target genes by facilitating degradation. The upregulated HSP70 may suppress the release of pro-inflammatory cytokines during active pulmonary tuberculosis infection, and prevent overwhelming tissue damage. PMID: 28450725
  33. Gene expression analyses show strong correlation between the cellular dynamic response and NF-kappaB-dependent target gene activation. PMID: 27381163
  34. NF-kappaB served as a positive transcriptional regulator of WIP1 to activate its expression and affect its function in colorectal cancer cells. PMID: 29367109
  35. Data do not support a role for the NFKB1 and HIF1A polymorphisms in the pathogenesis of bowel disease. PMID: 29307990
  36. a few seconds of exposure to TNF is sufficient to activate the NF-kappaB pathway in HeLa cells and induce apoptotic cell death in both HeLa and Kym-1 cells PMID: 28004761
  37. HMGB1 mediates fibroblast activity via RAGE-MAPK and NF-kappaB signaling in keloid scar formation. PMID: 29283384
  38. High NFKB expression is associated with glioma. PMID: 28534933
  39. NFkappaB1-94ins/ins genotype was associated with the risk of developing colorectal cancer in Egyptian subjects. PMID: 28389768
  40. miR-146 exerted protective functions might be via up-regulation of Sirt1 thereby blocking NF-kappaB and Notch pathways. PMID: 29229881
  41. Data suggest that environmental carcinogen PFOA (perfluorooctanoic acid) stimulates ovarian cancer cell migration, invasion, and MMP2/MMP9 expression by up-regulating ERK/NFkappaB signaling pathway. (MMP = matrix metallopeptidase; NFkappaB = nuclear factor kappa B) PMID: 29753068
  42. High NFKB expression is associated with KSHV infection. PMID: 29698475
  43. Significantly elevated blood levels of NFkappaB in myelodysplastic syndrome patients. PMID: 28856536
  44. These data indicate a process of NF-kappaB-induced miR-506 suppression and JAG1 upregulation upon IL-1beta induction. PMID: 28926924
  45. High Expressions of NFkappaB is associated with degenerative knee osteoarthritis. PMID: 28418842
  46. Inflammatory factors suppress microRNA-1275 transcription in human adipocytes through NF-kappaB. PMID: 28901460
  47. GSK-3beta is critically important for ordered NF-kappaB signalling through modulation of NEMO phosphorylation. PMID: 27929056
  48. results establish a role for the linear Ubiquitin coat around cytosolic S. Typhimurium as the local NF-kappaB signalling platform and provide insights into the function of OTULIN in NF-kappaB activation during bacterial pathogenesis PMID: 28481361
  49. the lymphotoxin beta receptor (LTbetaR) to elicit the fast release of NF-kappaB inducing kinase (NIK) from the receptor complex leading to non-canonical NF-kappaB signaling. PMID: 29329668
  50. Data demonstrate that S. Typhimurium attenuates NF-kappaB signaling in fibroblasts; this tune-down in a central host defense might be instrumental for S. Typhimurium to establish intracellular persistent infections PMID: 27575017

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Database Links

HGNC: 7794

OMIM: 164011

KEGG: hsa:4790

STRING: 9606.ENSP00000226574

UniGene: Hs.618430

Involvement In Disease
Immunodeficiency, common variable, 12 (CVID12)
Subcellular Location
Nucleus. Cytoplasm. Note=Nuclear, but also found in the cytoplasm in an inactive form complexed to an inhibitor (I-kappa-B).

Q&A

What is the specificity of Phospho-NFKB1 (Ser893) antibody?

Phospho-NFKB1 (Ser893) antibody specifically detects endogenous levels of NF-kappa-B p105 protein only when phosphorylated at the serine 893 residue. This antibody is typically produced against synthesized peptides derived from human NF-kappaB p105/p50 around the phosphorylation site of Ser893, specifically in the amino acid range of 860-909 . The specificity of this antibody is critical for researchers studying phosphorylation-dependent regulation of NF-kappa-B signaling pathways. Validation methods typically involve using phosphatase treatments or comparing signals between phosphorylated and non-phosphorylated protein samples.

To confirm specificity in your experiments, consider:

  • Including both phosphorylated and non-phosphorylated controls

  • Using competing peptides to validate binding specificity

  • Employing phosphatase treatments to demonstrate phospho-specificity

What are the recommended applications for Phospho-NFKB1 (Ser893) antibody?

Phospho-NFKB1 (Ser893) antibody is suitable for multiple research applications including:

ApplicationRecommended DilutionNotes
Western Blot (WB)1:500-1:2000Use standard protein loading of 20-30 μg per lane
Immunohistochemistry (IHC)1:50-1:300May require antigen retrieval methods
Immunofluorescence (IF)1:50-1:200Optimal fixation with 4% paraformaldehyde recommended
ELISA1:20000High dilution reflects sensitivity in this format

These applications enable researchers to study the phosphorylation state of NFKB1 in various experimental contexts . When planning experiments, it's advisable to optimize dilutions based on your specific experimental system, including cell type, tissue origin, and detection method.

How should Phospho-NFKB1 (Ser893) antibody be stored and handled?

For optimal stability and performance, Phospho-NFKB1 (Ser893) antibody should be stored at -20°C for up to one year from the date of receipt . The antibody is typically supplied in PBS containing 50% glycerol, 0.5% BSA, and 0.02% sodium azide, which helps maintain stability during freeze-thaw cycles .

Best practices for handling:

  • Aliquot upon first thaw to minimize freeze-thaw cycles

  • Avoid repeated freeze-thaw cycles as they can lead to protein denaturation and loss of activity

  • When thawing, allow the antibody to reach room temperature completely before use

  • Centrifuge the vial briefly before opening to collect all liquid at the bottom

  • Follow manufacturer's recommendations for short-term storage (2-8°C) if the antibody will be used within a week

What is the NFKB1 protein and its role in cellular signaling?

NF-kappa-B (NFKB1) is a pleiotropic transcription factor present in almost all cell types and functions as the endpoint of various signal transduction events . The protein exists in two forms:

  • p105: the precursor form

  • p50: the mature, processed form

NFKB1 plays crucial roles in numerous biological processes:

  • Inflammation and immune response regulation

  • Cell differentiation and development

  • Cellular growth control

  • Tumorigenesis

  • Apoptosis regulation

The protein typically forms homo- or heterodimeric complexes with other Rel-like domain-containing proteins including RELA/p65, RELB, REL, and NFKB2/p52, with the p65-p50 heterodimer being the most abundant form . These dimers bind to kappa-B sites in the DNA of target genes, regulating their transcription. Phosphorylation at Ser893 is one of several post-translational modifications that regulate NFKB1 function, particularly affecting its protein interactions, nuclear translocation, and transcriptional activity.

How does phosphorylation at Ser893 affect NFKB1 function compared to other phosphorylation sites?

Phosphorylation of NFKB1 at Ser893 represents one of several critical regulatory modifications that modulate this transcription factor's activity. Unlike phosphorylation at sites such as Ser337 (which affects DNA binding) or Ser927 (which influences processing from p105 to p50), Ser893 phosphorylation appears to primarily regulate protein-protein interactions.

Comparative effects of different NFKB1 phosphorylation sites:

Phosphorylation SiteKinase(s) InvolvedFunctional Effect
Ser893GSK-3β, IKK complexModulates protein interactions and stability
Ser337PKAEnhances DNA binding affinity
Ser927IKKβTriggers processing from p105 to p50
Ser932IKKβControls p105 degradation

Experimental approaches to study these differences include:

  • Site-directed mutagenesis (S893A or S893E) to mimic non-phosphorylated or constitutively phosphorylated states

  • Comparative phosphoproteomic analysis

  • Kinase inhibitor studies using specific inhibitors for GSK-3β or IKK complex

When designing experiments to investigate Ser893 phosphorylation, researchers should consider the stimulus-specific and cell type-specific nature of this modification, as inflammatory stimuli like TNF-α and IL-1β may differently affect Ser893 phosphorylation compared to other sites.

What are the optimal experimental conditions for detecting Phospho-NFKB1 (Ser893) in Western blot applications?

Detecting Phospho-NFKB1 (Ser893) via Western blot requires careful attention to sample preparation, electrophoresis conditions, and detection protocols. The following methodology has been optimized based on research practices:

Sample Preparation:

  • Harvest cells during peak phosphorylation (typically 5-30 minutes after stimulation with TNF-α, LPS, or IL-1β)

  • Lyse cells in buffer containing phosphatase inhibitors (10 mM sodium fluoride, 1 mM sodium orthovanadate, 10 mM β-glycerophosphate)

  • Maintain samples at 4°C throughout processing to preserve phosphorylation state

Electrophoresis and Transfer:

  • Use 8% SDS-PAGE gels to achieve optimal separation of the 105 kDa NFKB1 protein

  • Transfer to PVDF membrane at 100V for 90 minutes in cold transfer buffer containing 20% methanol

  • Block with 5% BSA (not milk, which contains phosphatases) in TBST for 1 hour

Detection Protocol:

  • Incubate with Phospho-NFKB1 (Ser893) antibody at 1:1000 dilution in 5% BSA-TBST overnight at 4°C

  • Wash 4 times with TBST, 5 minutes each

  • Incubate with HRP-conjugated secondary antibody (anti-rabbit) at 1:5000 for 1 hour at room temperature

  • Develop using enhanced chemiluminescence with exposure times of 1-5 minutes

Critical Controls:

  • Positive control: Cell lysates treated with TNF-α (20 ng/ml) for 15 minutes

  • Negative control: Unstimulated cell lysates

  • Specificity control: Lambda phosphatase-treated samples

  • Loading control: Total NFKB1 antibody on stripped membrane

For improved signal-to-noise ratio, consider using signal enhancers and longer primary antibody incubation times (up to 24 hours at 4°C).

How can I troubleshoot weak or non-specific signal when using Phospho-NFKB1 (Ser893) antibody?

When encountering weak or non-specific signals with Phospho-NFKB1 (Ser893) antibody, systematic troubleshooting is essential:

Problem: Weak or No Signal

Potential CauseSolution
Low phosphorylation levelConfirm stimulation protocol; use positive controls like TNF-α-treated HeLa cells
Phosphatase activityEnsure fresh phosphatase inhibitors in all buffers; keep samples cold
Insufficient antibody concentrationReduce dilution to 1:500 for WB or 1:50 for IHC/IF
Poor transfer efficiencyOptimize transfer conditions; consider semi-dry transfer for large proteins
Degraded antibodyVerify antibody storage conditions; purchase fresh antibody if needed

Problem: Non-specific Bands

Potential CauseSolution
Cross-reactivityIncrease blocking time/concentration; use 5% BSA instead of milk
OverexposureReduce exposure time; dilute primary antibody
Sample overloadingReduce protein load to 15-20 μg per lane
Degradation productsAdd protease inhibitors to lysis buffer; prepare fresh samples
Secondary antibody issuesTest secondary alone; consider using different secondary antibody

Advanced Validation Methods:

  • Peptide competition assay: Pre-incubate antibody with phospho-peptide immunogen

  • Knockout/knockdown validation: Compare signal in NFKB1 knockout or siRNA-treated samples

  • Phosphatase treatment: Treat half of your sample with lambda phosphatase

Most researchers find that optimizing the sample preparation is the critical step, particularly ensuring that phosphorylation is preserved throughout the experimental workflow .

What are the differences between various commercial Phospho-NFKB1 (Ser893) antibodies and how does this affect experimental design?

Commercial Phospho-NFKB1 (Ser893) antibodies from different manufacturers exhibit variations that can significantly impact experimental outcomes. Understanding these differences helps in selecting the appropriate antibody for specific applications:

ManufacturerHost/TypeImmunogen RegionValidated ApplicationsSpecific FeaturesCross-Reactivity
St John's LabsRabbit Polyclonal860-909 aaWB/IHC/IF/ELISAHigh sensitivity in ELISAHuman/Rat/Mouse
AbnovaRabbit PolyclonalUnspecifiedProximity Ligation AssayPaired with total NFKB1 antibodyHuman
AbbexaRabbit Polyclonal891-895 aa (A-S-S-P-V)ELISA/IHC/IFNarrower epitope recognitionHuman only

Implications for Experimental Design:

  • Species compatibility: Select antibodies validated for your model organism (human, mouse, rat)

  • Application specificity: Some antibodies perform better in specific applications (e.g., St John's for WB, Abbexa for IF)

  • Epitope considerations: Antibodies recognizing different regions around Ser893 may have different sensitivities to conformational changes

  • Validation requirements: Newer antibodies may require more extensive validation in your specific system

When comparing results across studies using different antibodies, consider:

  • Standardizing protocols when possible

  • Including parallel experiments with different antibodies for critical findings

  • Documenting the exact antibody catalog number and lot in publications

How can Phospho-NFKB1 (Ser893) antibody be utilized in multiplexed detection systems?

Multiplexed detection systems allow simultaneous analysis of multiple phosphorylation states or proteins, providing valuable insight into signaling pathway dynamics. Phospho-NFKB1 (Ser893) antibody can be effectively incorporated into these systems through several approaches:

Fluorescence-Based Multiplexing:

  • Multi-color immunofluorescence: Combine Phospho-NFKB1 (Ser893) antibody with antibodies against other pathway components (e.g., phospho-IKK, phospho-RelA) using species-specific or isotype-specific secondary antibodies with different fluorophores.

  • Proximity Ligation Assay (PLA): Use antibody pairs (phospho-specific and total NFKB1) to detect specific phosphorylation events with spatial resolution. The Abnova antibody pair is specifically designed for this application .

Bead-Based Multiplexing:

  • Luminex/Bio-Plex systems: Conjugate Phospho-NFKB1 (Ser893) antibody to spectrally distinct beads for multiplex phosphoprotein analysis.

  • CyTOF (mass cytometry): Label with isotope-tagged secondary antibodies for high-dimensional analysis of cell populations.

Sequential Detection Methods:

  • Sequential fluorescent Western blotting: Use direct labeled primary antibodies or spectrally distinct secondary antibodies

  • Stripping and reprobing: Carefully validate stripping efficiency to ensure complete removal before reprobing

Practical Protocol for Dual Immunofluorescence Detection:

  • Fix cells with 4% paraformaldehyde (15 minutes, room temperature)

  • Permeabilize with 0.2% Triton X-100 (10 minutes)

  • Block with 5% normal serum + 1% BSA (1 hour)

  • Incubate with Phospho-NFKB1 (Ser893) rabbit antibody (1:100) and mouse antibody against another target (overnight, 4°C)

  • Wash 3× with PBS

  • Incubate with anti-rabbit Alexa Fluor 488 and anti-mouse Alexa Fluor 594 (1:500, 1 hour)

  • Counterstain nuclei with DAPI

  • Mount and image using confocal microscopy

When designing multiplexed experiments, consider potential issues with antibody cross-reactivity and implement appropriate controls, including single-antibody staining controls and isotype controls.

What stimuli are most effective for inducing NFKB1 Ser893 phosphorylation?

The phosphorylation of NFKB1 at Ser893 is stimulus-dependent, with different activators showing varying efficiency and kinetics. Understanding these differences is crucial for designing experiments that effectively capture this phosphorylation event:

StimulusEffective ConcentrationOptimal Time PointCell TypesRelative Efficiency
TNF-α10-20 ng/ml5-15 minutesMost epithelial and immune cells+++
IL-1β10 ng/ml10-30 minutesFibroblasts, epithelial cells++
LPS100 ng/ml - 1 μg/ml15-45 minutesMacrophages, dendritic cells+++
PMA50-100 ng/ml30-60 minutesMost cell types++
Hydrogen peroxide100-500 μM15-30 minutesMost cell types+

Methodological Considerations:

  • Cell synchronization: Serum-starve cells (0.5-1% serum) for 12-24 hours prior to stimulation to reduce background phosphorylation

  • Dose-response assessment: Perform initial titration experiments to determine optimal concentrations for your specific cell type

  • Time-course analysis: Capture multiple time points (5, 15, 30, 60, 120 minutes) to identify peak phosphorylation

  • Harvesting method: Rapid lysis is critical; direct addition of hot SDS sample buffer can help preserve phosphorylation status

For investigating pathway specificity, consider using appropriate inhibitors as controls:

  • IKK inhibitors (BMS-345541, TPCA-1) to block canonical NF-κB activation

  • GSK-3β inhibitors (SB216763, CHIR99021) to examine the role of this kinase in Ser893 phosphorylation

  • Proteasome inhibitors (MG132, bortezomib) to prevent degradation of IκB and assess effects on NFKB1 phosphorylation

This methodological approach allows researchers to capture the dynamic nature of NFKB1 Ser893 phosphorylation across different experimental contexts.

How should cellular and tissue samples be prepared to preserve NFKB1 Ser893 phosphorylation?

Preserving phosphorylation states during sample preparation is critical for accurate analysis of NFKB1 Ser893 phosphorylation. The following protocols have been optimized to maintain phosphorylation integrity:

Cell Culture Samples:

  • Rapid processing: Minimize time between stimulation and lysis (≤1 minute)

  • Pre-chilled reagents: Use ice-cold PBS for washing and lysis buffers

  • Phosphatase inhibitor cocktail: Include sodium fluoride (10 mM), sodium orthovanadate (1 mM), β-glycerophosphate (10 mM), and phosphatase inhibitor cocktails

  • Lysis buffer composition:

    • 50 mM Tris-HCl, pH 7.4

    • 150 mM NaCl

    • 1% NP-40 or Triton X-100

    • 0.5% sodium deoxycholate

    • 0.1% SDS

    • 1 mM EDTA

    • Protease and phosphatase inhibitors (freshly added)

Tissue Samples:

  • Flash freezing: Immediately freeze harvested tissues in liquid nitrogen

  • Cryosectioning: Maintain frozen state throughout processing

  • Homogenization: Use mechanical disruption in the presence of phosphatase inhibitors

  • Fixation for IHC/IF: Use 4% paraformaldehyde fixation limited to 15-20 minutes to prevent epitope masking

Critical Parameters for Different Applications:

ApplicationCritical ParametersAdditional Considerations
Western BlotRapid lysis, denaturation in sample buffer containing phosphatase inhibitorsAdd 5 mM NaF to running and transfer buffers
IHCImmediate fixation, phosphatase-free blocking reagentsUse phosphate-free buffers for antigen retrieval
IFGentle permeabilization, phosphatase inhibitors in all buffersAvoid long incubations at room temperature
IPPre-clearing with protein A/G beads to reduce backgroundAdd phosphatase inhibitors to all wash buffers

Validation Method:
To confirm preservation of phosphorylation, process parallel samples with and without phosphatase inhibitors, or treat a portion of your sample with lambda phosphatase before analysis. This provides a direct assessment of phosphorylation state preservation in your specific experimental system .

Can Phospho-NFKB1 (Ser893) antibody be effectively used in CHIP or CHIP-seq applications?

While Phospho-NFKB1 (Ser893) antibodies are primarily validated for Western blot, IHC, IF, and ELISA applications , their use in Chromatin Immunoprecipitation (ChIP) or ChIP-seq requires special considerations and modified protocols. Here's a methodological approach for adapting these antibodies for chromatin studies:

Technical Considerations for ChIP Applications:

  • Antibody Validation for ChIP:

    • Test immunoprecipitation efficiency using nuclear extracts before proceeding to chromatin

    • Confirm phospho-specificity in IP formats using phosphatase-treated controls

    • Verify DNA binding capacity of phosphorylated p105/p50 forms in gel shift assays

  • Optimized ChIP Protocol:

    • Crosslinking: 1% formaldehyde for 10 minutes at room temperature

    • Sonication: Optimize to achieve 200-500 bp fragments

    • Pre-clearing: Extended pre-clearing (2 hours) with protein A/G beads

    • Antibody incubation: Higher antibody concentration (5-10 μg per reaction)

    • Increased incubation time: 16-20 hours at 4°C with rotation

    • Stringent washing: Include high salt wash steps to reduce background

  • Controls Essential for Validation:

    • Input chromatin (10%)

    • IgG negative control

    • Positive control using antibody against total NFKB1/p50

    • Known NF-κB target gene promoters (e.g., IL-8, IκBα)

  • ChIP-qPCR Primer Design:
    Target known NF-κB binding sites in promoters such as:

    • IκBα promoter: Forward 5'-GACGACCCCAATTCAAATCG-3', Reverse 5'-TCAGGCTCGGGGAATTTCC-3'

    • IL-8 promoter: Forward 5'-GGGCCATCAGTTGCAAATC-3', Reverse 5'-TTCCTTCCGGTGGTTTCTTC-3'

  • ChIP-seq Considerations:

    • Higher input chromatin amounts (typically double standard ChIP)

    • Sequential ChIP approach may improve specificity

    • Bioinformatic analysis should include motif enrichment for NF-κB binding sites

Biological Interpretation:
It's important to note that phosphorylation at Ser893 may influence DNA binding properties or protein-protein interactions affecting chromatin association. When interpreting ChIP-seq data, researchers should consider that Phospho-NFKB1 (Ser893) might identify a subset of total NFKB1 genomic binding sites, potentially representing specialized functional states of this transcription factor.

While ChIP applications are not explicitly listed in the standard applications for commercial Phospho-NFKB1 (Ser893) antibodies , these methodological adaptations provide a framework for researchers interested in exploring this application.

How should quantitative data from Phospho-NFKB1 (Ser893) immunoblots be normalized and analyzed?

Proper normalization and analysis of Phospho-NFKB1 (Ser893) immunoblot data are essential for accurate interpretation of phosphorylation dynamics. The following methodological approach ensures robust quantification:

Normalization Strategies:

  • Dual Detection Approach:

    • Primary method: Normalize phospho-signal to total NFKB1 protein

    • Procedure: Strip and reprobe membrane or use dual-color detection systems

    • Formula: (Phospho-NFKB1 band intensity) ÷ (Total NFKB1 band intensity)

  • Loading Control Normalization:

    • Secondary method: Normalize to housekeeping proteins (β-actin, GAPDH, α-tubulin)

    • Note: Less specific than total protein normalization, but useful as secondary verification

  • Total Protein Normalization:

    • Alternative approach: Use total protein staining methods (Ponceau S, SYPRO Ruby, Stain-Free gels)

    • Advantage: Addresses limitations of single housekeeping protein references

    • Implementation: Normalize based on total protein content in each lane

Quantification Protocol:

  • Capture digital images using a linear detection system (avoid film when possible)

  • Analyze band intensities using software (ImageJ, Image Lab, etc.)

  • Subtract background from each band

  • Calculate phospho/total ratio for each sample

  • Normalize experimental conditions to control condition

Statistical Analysis Framework:

Experiment TypeRecommended Statistical ApproachSample Size Considerations
Time courseRepeated measures ANOVA with post-hoc testsMinimum n=3 biological replicates
Dose responseNon-linear regression analysis5-7 concentrations, n=3 each
Treatment groupst-test (two groups) or ANOVA (>2 groups)Power analysis for sample size
Correlation studiesPearson/Spearman correlation analysisMinimum n=8 for meaningful correlation

Visualization Methods:

  • Bar graphs with error bars (SEM or SD) for group comparisons

  • Line graphs for time course or dose-response experiments

  • Include individual data points along with means for transparent reporting

Interpretative Considerations:

  • Transient phosphorylation events may be missed in single time-point analyses

  • Signal saturation can mask differences at high expression/phosphorylation levels

  • Partial phosphorylation may result in diffuse bands requiring total area quantification

This comprehensive approach to quantification ensures reliable analysis of NFKB1 Ser893 phosphorylation across experimental conditions.

What are the key considerations for interpreting NFKB1 Ser893 phosphorylation in the context of NF-κB signaling pathways?

Interpreting NFKB1 Ser893 phosphorylation requires contextual understanding within the broader NF-κB signaling network. Consider these critical factors when analyzing experimental results:

Pathway Context and Relationship to Other Phosphorylation Events:

  • Hierarchical Phosphorylation Relationships:

    • Ser893 phosphorylation often occurs downstream of IKK activation

    • May be influenced by GSK-3β activity in certain cellular contexts

    • Consider sequential phosphorylation events that may precede or follow Ser893 modification

  • Functional Integration with Other NF-κB Modifications:

    • Analyze in conjunction with p105 processing to p50

    • Compare with RelA/p65 phosphorylation state (Ser536)

    • Consider IκBα degradation kinetics as context

  • Cell Type-Specific Interpretation:

    • Immune cells: Often shows rapid, robust phosphorylation

    • Epithelial cells: May exhibit more sustained, moderate phosphorylation

    • Neurons: Typically demonstrates delayed, prolonged phosphorylation patterns

Functional Significance Framework:

ObservationPotential InterpretationAdditional Tests for Confirmation
Increased pSer893 without p105 processingRegulatory function independent of p50 generationAnalyze DNA binding of p105 complexes
Rapid, transient pSer893Acute signaling response, possibly inflammation-relatedCorrelate with inflammatory gene expression
Sustained pSer893Chronic activation, potentially pathologicalExamine cell phenotype changes and survival
Stimulus-specific patternsPathway-specific regulationCompare multiple stimuli in same cell type

Comparative Analysis Approach:
To fully understand Ser893 phosphorylation, analyze it in parallel with:

  • Total NFKB1 protein levels (p105 and p50)

  • Nuclear translocation of p50 and p65

  • NF-κB transcriptional activity (reporter assays)

  • Target gene expression (qPCR or RNA-Seq)

Common Interpretation Pitfalls:

  • Assuming phosphorylation always correlates with increased transcriptional activity

  • Interpreting phosphorylation without considering potential compensatory mechanisms

  • Overlooking the possibility of phosphorylation-dependent protein-protein interactions

  • Failing to consider the subcellular localization of phosphorylated NFKB1

How can I design siRNA or CRISPR experiments to validate the specificity of Phospho-NFKB1 (Ser893) antibody signals?

Genetic validation using siRNA knockdown or CRISPR-mediated gene editing provides definitive confirmation of antibody specificity for Phospho-NFKB1 (Ser893). Here's a comprehensive methodology for designing and implementing these validation approaches:

siRNA Knockdown Validation Protocol:

  • siRNA Design and Selection:

    • Target multiple regions of NFKB1 mRNA

    • Recommended sequences:

      • siRNA-1: 5'-GGAGACAUCCUUCCGCAAA-3'

      • siRNA-2: 5'-GCAGGUAUUUGACAUAUUA-3'

      • siRNA-3: 5'-GGCUAUAACUCGCCUAGUG-3'

    • Include non-targeting control siRNA with similar GC content

  • Transfection Optimization:

    • Cell type-specific optimization of transfection reagent (Lipofectamine RNAiMAX, DharmaFECT)

    • Titrate siRNA concentration (10-50 nM range)

    • Determine optimal time point for maximum knockdown (typically 48-72 hours)

  • Validation Experimental Design:

    • Transfect cells with NFKB1 siRNA and control siRNA

    • After optimal knockdown period, stimulate with TNF-α (10 ng/ml for 15 minutes)

    • Prepare lysates for Western blot analysis

    • Probe with both Phospho-NFKB1 (Ser893) and total NFKB1 antibodies

CRISPR/Cas9 Gene Editing Approach:

  • gRNA Design for NFKB1 Knockout:

    • Target early exons to ensure complete protein disruption

    • Recommended gRNA sequences:

      • gRNA-1: 5'-GCGGCCTGCACTTCTGACGT-3'

      • gRNA-2: 5'-ACTGTAGTAGCAGAGATGCT-3'

    • Design verification primers to confirm genomic editing

  • CRISPR Implementation Strategy:

    • Transient transfection with Cas9 and gRNA plasmids

    • Clonal isolation and screening

    • Genomic verification by sequencing

    • Protein verification by Western blot for total NFKB1

  • Ser893 Phospho-Site Mutant Generation:

    • Design HDR template to introduce S893A mutation

    • gRNA targeting Ser893 region: 5'-TCTCAGAGCCCTGAGTTCAA-3'

    • HDR template containing S893A mutation (TCC→GCC)

    • Screen clones by sequencing and verify expression levels

Experimental Controls and Analysis:

Control TypePurposeImplementation
Non-targeting siRNAControl for transfection effectsSame concentration and transfection conditions
Wild-type cellsBaseline comparisonMaintain in parallel with edited cells
Rescue experimentConfirm specificityRe-express NFKB1 in knockout cells
Stimulus controlsValidate pathway integrityAssess other NF-κB pathway components

Data Interpretation Framework:

  • In siRNA experiments: Expect proportional reduction in both total and phospho-specific signal

  • In CRISPR knockout: Complete absence of both signals confirms specificity

  • In S893A mutants: Loss of phospho-signal with maintained total protein confirms phospho-specificity

This comprehensive genetic validation approach provides the highest level of confidence in the specificity of Phospho-NFKB1 (Ser893) antibody signals and addresses potential concerns about antibody cross-reactivity or off-target binding.

What control experiments should be included when studying NFKB1 Ser893 phosphorylation kinetics?

Robust control experiments are essential for accurate interpretation of NFKB1 Ser893 phosphorylation kinetics. The following methodological framework provides a comprehensive approach to experimental controls:

Essential Control Categories:

  • Phosphorylation Specificity Controls:

    • Phosphatase treatment: Treat duplicate samples with lambda phosphatase to confirm phospho-specific signal

    • Competing phosphopeptide: Pre-incubate antibody with phospho-Ser893 peptide to block specific binding

    • Non-phosphorylatable mutant: Compare wild-type to S893A mutant-expressing cells

  • Stimulus and Inhibitor Controls:

    • Unstimulated baseline: Establish baseline phosphorylation in resting cells

    • Positive stimulus control: Include TNF-α (10 ng/ml, 15 min) as reference standard

    • Pathway inhibitor controls: IKK inhibitor (BMS-345541, 10 μM) pre-treatment

    • Vehicle controls: Match all solvent conditions for inhibitor studies

  • Technical Controls:

    • Loading controls: Total NFKB1 and housekeeping proteins (β-actin, GAPDH)

    • Antibody specificity: Secondary-only controls to assess non-specific binding

    • Cross-reactivity assessment: Validate in NFKB1 knockout/knockdown cells

Comprehensive Control Experiment Panel:

PurposeExperimental ConditionExpected OutcomeAnalysis Approach
Phosphorylation verificationλ-phosphatase treatmentLoss of phospho-signalSide-by-side comparison
Kinase identificationIKK inhibitionReduced phosphorylationQuantitative reduction
Pathway activation confirmationIκBα degradationCorrelates with Ser893 phosphorylationTime-course correlation
Stimulus specificityMultiple stimuli panelStimulus-specific patternsComparative kinetics
Technical reproducibilityIndependent biological replicatesConsistent patternsStatistical analysis

Kinetics Control Methodology:

  • Capture appropriate time points: 0, 5, 15, 30, 60, 120, 240 minutes

  • Include both rapid and delayed time points: Some phosphorylation events show biphasic patterns

  • Maintain consistent stimulus concentration: Prepare master stocks for all time points

  • Temperature control: Maintain cells at consistent temperature during stimulation

  • Synchronous stimulation and harvest: Use rapid stimulation termination methods

Data Verification Through Complementary Approaches:

  • Confirm key findings with alternative antibody from different vendor/clone

  • Validate with mass spectrometry phosphoproteomics for critical experiments

  • Use phospho-flow cytometry to assess single-cell phosphorylation kinetics

By implementing this comprehensive control framework, researchers can generate highly reliable data on NFKB1 Ser893 phosphorylation kinetics and confidently distinguish biological effects from technical artifacts.

How can Phospho-NFKB1 (Ser893) antibody be used to study disease-relevant NF-κB dysregulation?

Phospho-NFKB1 (Ser893) antibody serves as a valuable tool for investigating disease states characterized by NF-κB pathway dysregulation. The following methodological approach outlines how to effectively employ this antibody in disease-relevant research:

Disease-Specific Research Applications:

  • Inflammatory Disorders:

    • Tissue analysis: Compare Ser893 phosphorylation in inflamed vs. healthy tissues

    • Experimental models: Monitor phosphorylation kinetics in:

      • LPS-induced sepsis models

      • DSS-induced colitis

      • Rheumatoid arthritis models

    • Therapeutic evaluation: Assess how anti-inflammatory compounds affect Ser893 phosphorylation

  • Cancer Research Applications:

    • Tumor tissue analysis: Compare phosphorylation patterns between tumor and adjacent normal tissue

    • Cell line studies: Analyze constitutive Ser893 phosphorylation in cancer cell lines

    • Correlation studies: Assess relationship between Ser893 phosphorylation and:

      • Tumor grade/stage

      • Therapy resistance

      • Patient outcomes

  • Neurodegenerative Diseases:

    • Brain tissue analysis: Examine regional distribution in Alzheimer's/Parkinson's tissues

    • Stimulus-response: Compare neuroinflammatory stimuli responses in disease models

    • Longitudinal studies: Track changes during disease progression

Methodological Considerations by Application:

ApplicationMethodologyAnalysis ApproachRelevant Controls
Tissue MicroarraysIHC with phospho-antibodyH-score quantificationAdjacent normal tissue
Patient-derived xenograftsIF and WB analysisCompare to original tumorPatient-matched normal cells
Drug screeningHigh-content imagingPhospho/total ratio quantificationKnown IKK inhibitors
Flow cytometryIntracellular phospho-stainingSingle-cell phosphorylation analysisIsotype and phosphatase controls

Translational Research Framework:

  • Biomarker development: Assess whether Ser893 phosphorylation levels correlate with disease activity

  • Therapy monitoring: Track changes during treatment courses

  • Patient stratification: Investigate if baseline phosphorylation predicts treatment response

  • Target validation: Use phospho-state as readout for target engagement

Emerging Applications:

  • Single-cell analysis: Combine with single-cell techniques to resolve cellular heterogeneity

  • Spatial transcriptomics integration: Correlate phosphorylation with local gene expression patterns

  • Liquid biopsy development: Explore extracellular vesicle-associated phospho-NFKB1 as biomarker

By applying these methodologies, researchers can leverage Phospho-NFKB1 (Ser893) antibody to gain insights into disease mechanisms, identify potential therapeutic targets, and develop biomarkers for NF-κB pathway dysregulation in various pathological contexts.

What is known about the relationship between NFKB1 Ser893 phosphorylation and other post-translational modifications?

NFKB1 Ser893 phosphorylation exists within a complex network of post-translational modifications (PTMs) that collectively regulate NF-κB signaling. Understanding these interrelationships is crucial for comprehensive pathway analysis:

Interplay with Other Phosphorylation Sites:

  • Sequential Phosphorylation Relationships:

    • IKK-mediated phosphorylation at Ser927/932 often precedes Ser893 phosphorylation

    • Ser893 phosphorylation may prime for subsequent modifications at nearby residues

    • GSK-3β-mediated phosphorylation exhibits distinct patterns from IKK-mediated sites

  • Functional Coordination:

    • Phosphorylation at Ser337 (DNA binding domain) works in concert with Ser893 to regulate transcriptional activity

    • C-terminal phosphorylation sites (including Ser893) collectively regulate p105 processing and stability

Cross-talk with Other PTM Types:

PTM TypeSpecific ModificationRelationship to Ser893 PhosphorylationFunctional Consequence
UbiquitinationK56 polyubiquitinationEnhanced following Ser893 phosphorylationRegulates p105 processing
AcetylationK903 acetylationCompetes with nearby phosphorylationModulates protein stability
SUMOylationK937 SUMOylationMay be mutually exclusive with phosphorylationAffects protein interactions
MethylationR33 methylationIndependent regulation from Ser893Alters DNA binding specificity

Methodological Approaches to Study PTM Crosstalk:

  • MS/MS-Based Approaches:

    • Phospho-enrichment followed by mass spectrometry

    • Combined PTM enrichment strategies

    • Quantitative MS/MS to track dynamic PTM changes

  • Sequential IP Strategies:

    • First IP: Phospho-NFKB1 (Ser893)

    • Second IP: Antibodies against other PTMs (e.g., ubiquitin, SUMO)

    • Analysis: Determine co-occurrence frequency

  • Site-Directed Mutagenesis Studies:

    • Generate phospho-mimetic (S893D/E) and phospho-deficient (S893A) mutants

    • Assess impact on other PTMs

    • Create combination mutants to test PTM interdependence

Experimental Design for PTM Crosstalk Analysis:

  • Time-course analysis: Track different PTMs after stimulus exposure

  • Pharmacological manipulation: Use PTM-specific inhibitors to disrupt specific modifications

  • Sequence motif analysis: Identify potential multi-PTM regulatory regions

  • Structural analysis: Determine how phosphorylation at Ser893 affects accessibility of other modification sites

This systematic approach to studying PTM relationships provides deeper insight into the complex regulatory network governing NFKB1 function and helps identify key control points in NF-κB signaling that may represent therapeutic targets.

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