NRM1 Antibody

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Description

Definition and Biological Role of NR1 Antibodies

NR1 antibodies are autoantibodies targeting the amino-terminal domain of the NR1 subunit of the NMDAR, a glutamate receptor critical for synaptic plasticity, memory, and neuronal development . These antibodies are directly pathogenic, disrupting synaptic NMDAR currents and causing receptor internalization .

Role in Autoimmune Encephalitis

NR1 antibodies are the hallmark of anti-NMDAR encephalitis, a severe autoimmune disorder.

Clinical Features18:

  • Neuropsychiatric symptoms: Psychosis, hallucinations, memory deficits.

  • Neurological manifestations: Seizures, dyskinesias, autonomic dysfunction.

  • Outcome: 75% recover with immunotherapy; 12–24% relapse risk .

Pathogenic Mechanisms:

  • Antibody affinity: High-affinity NR1 antibodies cause more severe synaptic disruption .

  • Germline origins: Some NR1 antibodies are unmutated or minimally mutated, retaining pathogenicity .

Antibody Production and Engineering

NR1 antibodies arise from B-cell germinal center reactions and undergo somatic hypermutation .

Production Insights:

FeatureDetailsSource
Somatic HypermutationLower in NR1-binding vs. non-NR1 antibodies (5.1 ± 4.0 SHM in heavy chains)
Germline AntibodiesUnmutated NR1 antibodies (e.g., #003-109) retain pathogenicity
CSF Concentrations0.1–5 µg/ml (1–10% of total CSF IgG)

Engineering Advances56:

  • Monoclonal antibody development: Patient-derived NR1 antibodies are cloned for functional studies .

  • Affinity optimization: High-affinity NR1 antibodies correlate with severe clinical phenotypes .

Diagnostic Applications

NR1 antibodies are detected via cell-based assays (CBAs) and cerebrospinal fluid (CSF) analysis .

Diagnostic Criteria4:

ParameterValue/OutcomeSource
Antibody-Specific Index (AI)Negative AI has 100% NPV for excluding anti-NMDAR encephalitis
CSF Titer CorrelationWeak correlation with disease severity (rs = 0.1, p = 0.75)

Tools57:

  • Flow cytometry: Quantifies NR1 antibody binding to live NR1-expressing cells .

  • Western blot: Detects NR1 subunit (~120 kDa band) .

Therapeutic Implications

Immunotherapies target NR1 antibody production or downstream effects.

Treatment Strategies38:

  • First-line: High-dose corticosteroids, IVIg, or plasmapheresis (53% response rate) .

  • Second-line: Rituximab or cyclophosphamide for refractory cases .

  • B-cell depletion: Reduces NR1-IgG levels but limited by germinal center persistence .

Prognostic Factors48:

  • Early treatment: Better cognitive outcomes if initiated within 3 months of symptom onset .

  • Antibody affinity: High-affinity antibodies predict prolonged ICU stays .

Longitudinal Antibody Dynamics3:

Antibody ClassPeak TimingDurationClinical Relevance
NR1-IgGDisease onsetMonths–yearsCorrelates with relapse risk
NR1-IgMEarly diseaseUp to 6 monthsSuggests ongoing B-cell activity

Key Studies:

  • Affinity Variability: NR1 antibody binding constants (c) range widely, influencing pathogenicity .

  • Teratoma Association: Ovarian teratomas harbor NR1 antibody-secreting B cells .

Challenges and Future Directions

  • Detection limitations: Low-affinity NR1 antibodies may evade standard CBAs .

  • Therapeutic targets: Germinal center inhibition may prevent chronic antibody production .

  • Biomarker refinement: Improved correlation between CSF titers and clinical outcomes is needed .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
NRM1 antibody; SCY_4794 antibody; Transcription factor NRM1 antibody; Negative regulator of MBF targets 1 antibody
Target Names
NRM1
Uniprot No.

Target Background

Function
NRM1 Antibody targets a negative regulatory component of the MBF complex, which plays a crucial role in cell cycle-dependent transcription.
Protein Families
WHI5/NRM1 family
Subcellular Location
Cytoplasm. Nucleus.

Q&A

What is NRM1 and what is its primary function in cell cycle regulation?

NRM1 functions as a transcriptional corepressor that binds to the MBF complex, which is composed of Cdc10 and sequence-specific DNA-binding proteins Res1 and Res2 in fission yeast. NRM1 specifically interacts with the Cdc10 component of MBF and is essential for repressing MBF-regulated gene expression outside of the G1-S phase . This repression mechanism operates through a negative feedback loop, as NRM1 itself is regulated by MBF. The protein accumulates during S phase and associates with MBF target promoters to constrain transcription, ensuring proper temporal regulation of G1-S specific genes . This regulatory function appears to be evolutionarily conserved between distantly related yeasts, highlighting its fundamental importance in eukaryotic cell cycle control .

How does NRM1 interact with the MBF complex at the molecular level?

NRM1 associates with the MBF complex primarily through direct binding to the Cdc10 component. Specifically, this interaction requires the C-terminal region of Cdc10, as demonstrated by studies using the cdc10-C4 mutant (lacking the C-terminal 61 amino acids), which abolishes NRM1 binding to MBF . Mass spectrometry analysis using MultiDimensional Protein Interaction Technology (MuDPIT) has confirmed that NRM1 is a component of MBF complexes containing Res2 .

Interestingly, while NRM1 can bind to Cdc10 independently of Res2, it requires intact MBF complexes to associate with target promoters. Research has shown that NRM1 interacts with Cdc10 but not with Res1 in the absence of Res2, and deletion of Res1 disrupts the interaction between NRM1 and Res2 . This suggests a specific architectural requirement for NRM1's incorporation into functional MBF complexes at target promoters.

What experimental methods are commonly used to study NRM1 function?

Researchers employ several sophisticated methods to investigate NRM1 biology:

  • Chromatin Immunoprecipitation (ChIP): Used to analyze NRM1 binding to MBF target promoters such as cdc22+ and cdc18+ .

  • Co-immunoprecipitation: Applied to study interactions between NRM1 and MBF components (Cdc10, Res1, Res2) .

  • Western blotting: Employed to detect NRM1 protein levels and phosphorylation status during cell cycle progression and in response to replication stress .

  • Genetic approaches: Creation of deletion mutants (nrm1Δ) and phosphorylation site mutants to assess functional consequences .

  • In vitro kinase assays: Used to demonstrate direct phosphorylation of NRM1 by checkpoint kinases such as Cds1 .

What are the key considerations when selecting an NRM1 antibody for chromatin immunoprecipitation studies?

When selecting an NRM1 antibody for ChIP experiments, researchers should consider:

  • Epitope location: Choose antibodies targeting epitopes that don't interfere with DNA binding or protein-protein interactions crucial for chromatin association.

  • Validation in ChIP applications: Confirm the antibody has been validated specifically for ChIP, as not all antibodies that work in western blotting perform well in ChIP.

  • Cross-reactivity profile: Ensure minimal cross-reactivity with other cellular proteins, particularly other cell cycle regulators.

  • Controls: Plan to include appropriate controls such as IgG control, input samples, and when possible, samples from nrm1Δ cells as a negative control.

  • Formaldehyde compatibility: Verify the antibody recognizes its epitope after formaldehyde crosslinking.

Based on published research, antibodies capable of detecting NRM1 at MBF target promoters such as cdc22+ and cdc18+ have been successfully used to demonstrate the cell cycle-dependent binding of NRM1 and its dissociation in response to replication stress .

How should researchers optimize NRM1 immunoprecipitation protocols for studying protein-protein interactions?

For optimal NRM1 immunoprecipitation to study protein interactions:

  • Buffer optimization:

    • Use buffers containing 50 mM HEPES-KOH (pH 7.5), 140 mM NaCl, 1 mM EDTA, 1% Triton X-100, and 0.1% sodium deoxycholate .

    • Include protease inhibitors to prevent degradation.

    • Add phosphatase inhibitors when studying phosphorylation-dependent interactions.

  • Antibody conditions:

    • Titrate antibody concentration to determine optimal amount (typically 2-5 μg).

    • Consider cross-linking antibodies to beads to prevent heavy chain interference.

    • Pre-clear lysates to reduce background.

  • Complex preservation:

    • Avoid harsh lysis conditions that might disrupt protein complexes.

    • Consider in vivo crosslinking for transient interactions.

    • Keep all steps at 4°C to preserve complex integrity.

  • Controls:

    • Include wild-type vs. mutant comparisons (e.g., cdc10-C4 mutant which disrupts NRM1-MBF binding) .

    • Use IgG control immunoprecipitations.

    • Include conditions that alter complex formation (e.g., hydroxyurea treatment).

What protocols are effective for analyzing NRM1 phosphorylation states using specific antibodies?

To effectively analyze NRM1 phosphorylation:

  • Phosphorylation detection methods:

    • Use standard western blotting to detect mobility shifts (slower migrating bands indicate phosphorylation) .

    • Confirm phosphorylation by treating samples with phosphatase, which collapses slower migrating bands .

    • Consider Phos-tag acrylamide gels for enhanced separation of phosphorylated species.

  • Sample preparation:

    • Harvest cells rapidly and lyse in buffer containing phosphatase inhibitors.

    • For checkpoint activation studies, compare untreated vs. hydroxyurea, MMS, or camptothecin-treated samples .

    • Include checkpoint kinase mutants (cds1Δ, rad3Δ) as controls .

  • Phosphorylation site analysis:

    • When available, use phospho-specific antibodies targeting known sites (Ser9, Thr11, Thr55, Ser57, Thr116, Ser174, Thr236, Ser237) .

    • Compare wild-type NRM1 with phosphorylation site mutants (e.g., NRM1-8A with all eight sites mutated).

  • Kinase-specific phosphorylation:

    • Use in vitro kinase assays with purified components to demonstrate direct phosphorylation .

    • Compare phosphorylation patterns in wild-type vs. kinase-deficient backgrounds.

How can NRM1 antibodies be used to investigate the DNA replication checkpoint response?

NRM1 antibodies are valuable tools for studying DNA replication checkpoint responses:

  • Monitoring phosphorylation dynamics:

    • Track NRM1 phosphorylation status before and after hydroxyurea, MMS, or camptothecin treatment .

    • Follow the kinetics of phosphorylation and dephosphorylation during checkpoint activation and recovery.

    • Compare phosphorylation patterns in wild-type vs. checkpoint mutants (cds1Δ, rad3Δ) .

  • Analyzing promoter association:

    • Use ChIP to monitor NRM1 dissociation from MBF target promoters during checkpoint activation .

    • Quantify promoter occupancy changes in response to different replication stress agents.

    • Correlate NRM1 promoter binding with expression levels of MBF target genes.

  • Protein complex dynamics:

    • Immunoprecipitate NRM1 or MBF components to analyze how complex composition changes during checkpoint activation .

    • Use sequential ChIP (re-ChIP) to determine co-occupancy of factors at promoters.

  • In vitro checkpoint reconstitution:

    • Immunopurify NRM1-MBF complexes and treat with purified checkpoint kinases .

    • Track the release of phosphorylated NRM1 from the complex.

Research has established that the checkpoint kinase Cds1 directly phosphorylates NRM1, causing its dissociation from MBF and allowing sustained expression of G1-S genes during replication stress, which is critical for cell survival .

What experimental approaches can distinguish between different phosphorylated forms of NRM1?

To distinguish between NRM1 phosphorylation states:

  • Electrophoretic mobility analysis:

    • Standard SDS-PAGE to detect mobility shifts corresponding to phosphorylated species .

    • Phos-tag SDS-PAGE for enhanced separation of phospho-isoforms.

    • 2D gel electrophoresis to separate by both isoelectric point and molecular weight.

  • Phosphatase treatments:

    • Lambda phosphatase treatment to confirm phosphorylation-dependent mobility shifts .

    • Titration of phosphatase to identify intermediately phosphorylated forms.

    • Use of specific phosphatase inhibitors to preserve certain phosphorylation events.

  • Mass spectrometry approaches:

    • Phospho-peptide mapping following tryptic digestion.

    • SILAC or TMT labeling for quantitative comparison between conditions.

    • Parallel reaction monitoring for targeted quantification of specific phospho-sites.

  • Phospho-specific antibodies:

    • When available, use antibodies recognizing specific phosphorylated residues.

    • Sequential immunoprecipitation with different phospho-specific antibodies.

  • Genetic approaches:

    • Compare wild-type NRM1 with phospho-mimetic (S/T→D/E) and phospho-deficient (S/T→A) mutants .

    • Create partial phospho-site mutants to map functional consequences of specific sites.

How can researchers accurately interpret changes in NRM1 localization during cell cycle progression?

For accurate interpretation of NRM1 localization patterns:

  • Cell cycle synchronization approaches:

    • Use established synchronization methods appropriate for your model system.

    • Confirm synchronization quality using flow cytometry or microscopy of cell morphology.

    • Take time points that capture key transitions (G1, G1/S, mid-S, G2).

  • Quantitative analysis methods:

    • Quantify nuclear vs. cytoplasmic distribution in immunofluorescence experiments.

    • Measure promoter occupancy by ChIP-qPCR at different cell cycle phases .

    • Correlate binding changes with gene expression (RT-qPCR or RNA-seq).

  • Co-localization studies:

    • Perform dual staining with cell cycle markers (e.g., PCNA for S phase).

    • Co-stain for MBF components (Cdc10, Res1, Res2) to examine complex assembly/disassembly .

    • Use sequential ChIP to confirm simultaneous binding of multiple factors.

  • Expected patterns based on research:

    • NRM1 typically accumulates as cells transition from G1 to S phase .

    • Binding to MBF target promoters coincides with repression of G1-S transcripts.

    • During replication stress, NRM1 becomes phosphorylated and dissociates from promoters .

What are common technical challenges when using NRM1 antibodies and how can they be resolved?

Common challenges and solutions when working with NRM1 antibodies:

  • Weak or inconsistent western blot signals:

    • Optimize primary antibody concentration (typically 1:500 to 1:2000).

    • Extend incubation time (overnight at 4°C).

    • Increase protein loading if NRM1 is expressed at low levels.

    • Use enhanced chemiluminescence (ECL) substrates with higher sensitivity.

    • Consider membrane transfer conditions (lower voltage for longer time).

  • Multiple bands or high background:

    • Increase washing duration and stringency.

    • Optimize blocking conditions (BSA vs. milk, concentration, time).

    • Use monoclonal antibodies for higher specificity.

    • Pre-absorb antibody with lysate from knockout cells.

    • Remember that NRM1 typically shows multiple bands due to phosphorylation .

  • Poor immunoprecipitation efficiency:

    • Optimize antibody-to-lysate ratio.

    • Ensure antibody is suitable for immunoprecipitation.

    • Try different lysis buffers to preserve interactions.

    • Consider protein A vs. protein G beads based on antibody isotype.

    • Pre-clear lysates to reduce non-specific binding.

  • Inconsistent ChIP results:

    • Optimize crosslinking conditions.

    • Ensure adequate sonication (200-500 bp fragments).

    • Include more washing steps with increasing stringency.

    • Use carrier chromatin for low abundance targets.

    • Validate primers with input controls.

How should researchers distinguish between specific and non-specific signals in NRM1 antibody experiments?

To distinguish specific from non-specific signals:

  • Essential controls:

    • Use extracts from nrm1Δ cells as negative controls .

    • Include IgG controls in immunoprecipitation and ChIP experiments.

    • Compare results using antibodies targeting different epitopes of NRM1.

    • Include competing peptide controls when possible.

  • Validation approaches:

    • Correlate antibody signals with GFP-tagged or epitope-tagged NRM1.

    • Verify that signals change as expected with treatments (e.g., HU) .

    • Confirm that phosphorylated bands are sensitive to phosphatase treatment .

    • Demonstrate appropriate molecular weight shifting with tagged versions.

  • Phosphorylation-specific validation:

    • Show loss of phospho-specific signals in phospho-site mutants.

    • Demonstrate altered phosphorylation in checkpoint kinase mutants .

    • Verify phosphorylation-dependent mobility shifts with Phos-tag gels.

  • Signal specificity criteria:

    • Specific signals should be consistently reproducible.

    • Signals should respond appropriately to biological stimuli.

    • Intensity should correlate with expression level manipulations.

    • Results should be consistent across different detection methods.

What standards should researchers apply when analyzing NRM1 phosphorylation data in checkpoint response studies?

When analyzing NRM1 phosphorylation in checkpoint studies:

  • Experimental design standards:

    • Include appropriate time courses (e.g., 0, 30, 60, 120, 240 min after HU addition).

    • Use multiple replication stress agents (HU, MMS, camptothecin) .

    • Compare wild-type with checkpoint mutants (cds1Δ, rad3Δ) .

    • Include recovery phase after stress removal.

  • Data analysis approaches:

    • Quantify the ratio of phosphorylated to unphosphorylated NRM1.

    • Correlate phosphorylation with promoter occupancy changes .

    • Link NRM1 phosphorylation status to expression of target genes.

    • Assess correlation with other checkpoint markers.

  • Expected patterns based on research:

    • NRM1 should become hyperphosphorylated upon HU treatment .

    • Phosphorylation should be reduced or absent in cds1Δ and rad3Δ mutants .

    • Phosphorylated NRM1 should show reduced association with MBF complexes .

    • Recovery from checkpoint should show dephosphorylation of NRM1 .

  • Integration with functional data:

    • Correlate phosphorylation changes with cell survival under replication stress .

    • Link NRM1 phosphorylation to maintenance of G1-S transcription.

    • Compare effects of NRM1 deletion with checkpoint kinase mutations .

Table: NRM1 Phosphorylation Sites and Their Functions

Phosphorylation SiteKinaseFunctional EffectDetection MethodMutation Effect
Ser9Cds1Contributes to MBF dissociationMobility shift, MSS9A reduces dissociation
Thr11Cds1Contributes to MBF dissociationMobility shift, MST11A reduces dissociation
Thr55Cds1Contributes to MBF dissociationMobility shift, MST55A reduces dissociation
Ser57Cds1Contributes to MBF dissociationMobility shift, MSS57A reduces dissociation
Thr116Cds1Contributes to MBF dissociationMobility shift, MST116A reduces dissociation
Ser174Cds1Contributes to MBF dissociationMobility shift, MSS174A reduces dissociation
Thr236Cds1Contributes to MBF dissociationMobility shift, MST236A reduces dissociation
Ser237Cds1Contributes to MBF dissociationMobility shift, MSS237A reduces dissociation
Combined (8A mutant)Cds1Prevents checkpoint-induced dissociationWestern blot, ChIPMaintains MBF repression during replication stress

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