Slfn9 Antibody, FITC conjugated

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Typically, we can ship products within 1-3 business days after receiving your order. Delivery times may vary depending on the purchase method and location. Please consult your local distributor for specific delivery timeframes.
Synonyms
Slfn9; Schlafen family member 9; Schlafen-9
Target Names
Slfn9
Uniprot No.

Target Background

Function
This antibody targets Slfn9, an endoribonuclease that cleaves tRNAs and rRNAs.
Database Links

KEGG: mmu:237886

UniGene: Mm.270253

Subcellular Location
Cytoplasm.
Tissue Specificity
In T-cells, expressed at relatively constant levels during development: expressed in immature CD3(-)CD4(-)CD8(-) T-cells (DN stage), in CD4(+)CD8(+) double-positive stage (DP) and mature CD4(+) or CD8(+) thymocytes. Expression is slightly reduced at the D

Q&A

What is Slfn9 and what is its biological significance?

Slfn9 (Schlafen family member 9) is a mouse protein belonging to the Schlafen family, which plays critical roles in immune regulation, cell cycle control, and response to nucleic acids. Recent research has established that Slfn9 functions as a homologue of human SLFN11 and is essential for sensing intracellular single-stranded DNA (ssDNA) containing CGT motifs . Slfn9-knockout mice show resistance to CGT ssDNA-induced inflammation, acute hepatitis, and septic shock, indicating its importance in inflammatory pathways .

Functionally, Slfn9 appears to be involved in:

  • Recognition and binding of ssDNA with specific motifs

  • Translocation to the cytoplasm upon DNA recognition

  • Triggering immune responses through cytokine expression

  • Potentially regulating cell growth and proliferation

Slfn9's role in immune signaling makes it an important target for research into innate immunity, especially in mouse models of inflammatory disorders.

How does FITC conjugation work and what are its advantages for antibody applications?

FITC (fluorescein isothiocyanate) conjugation is a chemical process that covalently links the fluorescent dye molecule to antibodies, typically via primary amines (lysine residues) on the antibody protein . This process enables visualization of antibody binding through fluorescence detection.

The conjugation reaction typically follows these steps:

  • Preparation of the antibody in an alkaline buffer (pH 9.5)

  • Addition of reactive FITC molecule

  • Incubation (optimally 30-60 minutes at room temperature)

  • Purification to remove unbound FITC

The primary advantages of FITC-conjugated antibodies include:

  • Direct detection without secondary reagents

  • Compatibility with standard 488 nm laser excitation

  • Emission at approximately 530 nm

  • Well-established protocols for most applications

  • Compatibility with multiplexing when combined with other fluorophores

It's important to note that the optimal FITC conjugation involves attaching 3-6 FITC molecules per antibody molecule; higher conjugation ratios can cause problems with solubility and internal quenching that reduces brightness .

What are the recommended storage conditions for maintaining FITC-conjugated Slfn9 antibody activity?

Proper storage is critical for maintaining the activity and fluorescence intensity of FITC-conjugated antibodies. Based on established protocols for similar antibodies, FITC-conjugated Slfn9 antibodies should be stored according to the following guidelines :

Storage ParameterRecommendationRationale
Temperature-20°C for long-term storage; 4°C for working stocksPrevents protein degradation while maintaining antibody structure
Buffer composition50% Glycerol, 0.01M PBS, pH 7.4 with preservative (0.03% Proclin 300)Stabilizes antibody and prevents microbial growth
Light exposureProtect from lightPrevents photobleaching of FITC fluorophore
AliquotingDivide into single-use aliquotsMinimizes freeze-thaw cycles
Maximum freeze-thaw cyclesAvoid more than 5 cyclesPrevents protein denaturation and fluorophore degradation

For working solutions, store at 4°C and use within 1-2 weeks while protecting from light exposure . The addition of protein stabilizers such as BSA (1%) can further enhance stability during storage .

What are the validated applications for FITC-conjugated Slfn9 antibodies in immunological research?

FITC-conjugated Slfn9 antibodies can be utilized in multiple research applications, particularly those focusing on innate immune responses and nucleic acid sensing pathways. Based on research with similar antibodies and Schlafen family proteins, the following applications are recommended:

ApplicationValidated UseDilution RangeReference
Flow Cytometry (FCM)Detection of Slfn9 expression in immune cells1:20-100
Immunofluorescence (IF)Cellular localization, especially nuclear/cytoplasmic shuttling after DNA stimulation1:50-200
Immunocytochemistry (ICC)Visualization of Slfn9 in cultured cells1:50-200
Western Blotting (WB)Protein expression analysis (note: prior denaturation may affect FITC fluorescence)1:300-5000

Slfn9 antibodies are particularly valuable in studying:

  • Changes in Slfn9 localization after DNA damage or pathogen challenge

  • Expression patterns in different immune cell populations

  • Response to type I interferons, which regulate Schlafen gene expression

  • Immunological phenotyping of mouse models with altered DNA sensing pathways

How should I optimize staining protocols for flow cytometry using FITC-conjugated Slfn9 antibodies?

Optimizing flow cytometry protocols for FITC-conjugated Slfn9 antibodies requires attention to several parameters to ensure specific staining and minimal background:

  • Sample preparation:

    • For intracellular staining (required for Slfn9), use a gentle fixation method (2-4% paraformaldehyde for 10-15 minutes)

    • Permeabilize cells using 0.1-0.3% Triton X-100 or saponin-based buffers

    • Block with 2-5% serum from the same species as the secondary antibody (if used)

  • Titration:

    • Always titrate antibody to determine optimal concentration

    • Start with manufacturer's recommended dilution (typically 1:20-1:100)

    • Test 3-5 concentrations in a serial dilution

  • Staining conditions:

    • Stain in PBS with 1-2% BSA or FBS to reduce non-specific binding

    • Incubate at 4°C for 30-60 minutes (intracellular staining)

    • Include a wash step with excess buffer to remove unbound antibody

  • Instrument settings:

    • Excite FITC using a 488 nm laser

    • Collect emission at approximately 530 nm (standard FITC channel)

    • Compensate appropriately if using multiple fluorophores

  • Controls required:

    • Unstained cells for autofluorescence

    • Isotype control (FITC-conjugated IgG from same species)

    • Positive control (cell type known to express Slfn9)

    • Negative control (Slfn9-knockout cells if available)

For optimal results when studying Slfn9 dynamics after stimulation, consider time-course experiments, as Schlafen proteins show dynamic translocation following immune activation or DNA damage .

What controls and validation steps are essential when using Slfn9 antibody, FITC conjugated in research studies?

Proper controls and validation are critical to ensure the reliability and reproducibility of results obtained with FITC-conjugated Slfn9 antibodies:

Essential Controls:

  • Specificity controls:

    • Slfn9-knockout cells or tissues (ideally Slfn9^-/- mice)

    • Peptide blocking (pre-incubation of antibody with immunizing peptide)

    • Western blot confirmation of single band at expected molecular weight

    • Comparison with alternative Slfn9 antibody clones

  • Technical controls:

    • Isotype control (FITC-conjugated rabbit IgG for polyclonal antibodies)

    • Secondary antibody only (if using indirect staining)

    • Unstained samples for autofluorescence baseline

  • Biological controls:

    • Positive control cells (cells known to express Slfn9)

    • Negative control cells (cells known not to express Slfn9)

    • Treatment controls (e.g., IFNα stimulation increases Schlafen expression)

Validation Steps:

  • Antibody characterization:

    • Determine the F/P (fluorescein/protein) ratio to ensure optimal conjugation

    • Confirm binding specificity through immunoprecipitation followed by mass spectrometry

    • Test cross-reactivity with other Schlafen family members, especially Slfn8

  • Experimental validation:

    • Correlation with mRNA expression (qPCR for Slfn9)

    • Functional validation (e.g., induction by type I interferons)

    • Consistency across different detection methods (flow cytometry, IF, WB)

  • Reporting standards:

    • Document antibody source, clone, lot number, and concentration used

    • Report all validation steps in publications

    • Include images of all controls in supplementary data

These controls are particularly important for Slfn9 antibodies due to the high homology between Schlafen family members (especially Slfn8, Slfn9, and Slfn10) , which could lead to cross-reactivity issues.

How can FITC-conjugated Slfn9 antibodies be used to study DNA damage response pathways?

Recent research has revealed important roles for Schlafen family proteins in DNA damage response (DDR) pathways, making FITC-conjugated Slfn9 antibodies valuable tools for investigating these mechanisms:

  • Localization dynamics after DNA damage:

    • FITC-conjugated Slfn9 antibodies can track the translocation of Slfn9 following DNA damage

    • Mouse Slfn8 and Slfn9 are rapidly recruited to microlaser-irradiated DNA damage tracks, similar to human SLFN11

    • Time-lapse imaging can reveal the kinetics of Slfn9 recruitment and dissociation from damage sites

  • Replication stress response:

    • Slfn9 appears to be involved in destabilizing stalled replication forks, similar to SLFN11

    • FITC-conjugated antibodies can be used to:

      • Visualize co-localization with replication fork markers

      • Analyze association with RPA and RAD51 foci

      • Track expression changes after hydroxyurea (HU) treatment

  • Functional studies:

    • Complementation experiments in SLFN11^-/- human cells with mouse Slfn8/9 demonstrate functional conservation

    • FITC-Slfn9 antibodies can confirm expression in these complementation models

    • Changes in Slfn9 localization correlate with functional outcomes (sensitivity to DNA-damaging agents)

  • Mechanistic investigations:

    • Combined with DNA fiber assays, Slfn9 antibodies can help determine the relationship between Slfn9 localization and nascent DNA track degradation

    • Potential applications in studying fork protection mechanisms and their disruption in cancer cells

Experimental approach: For studying Slfn9 in DDR pathways, researchers should consider using laser microirradiation combined with real-time imaging of FITC-conjugated Slfn9 antibodies in live cells (if membrane-permeable antibody fragments are available) or fixed time-point analysis after DNA damage induction .

Developing and validating high-quality FITC-conjugated Slfn9 antibodies presents several technical challenges that researchers should be aware of:

  • Homology challenges:

    • High sequence similarity between Slfn8, Slfn9, and Slfn10 (mouse) makes generating specific antibodies difficult

    • When designing immunogens, careful sequence analysis is needed to identify unique epitopes

    • Epitope mapping and cross-reactivity testing are essential validation steps

  • Conjugation optimization:

    • Optimal F/P (fluorescein/protein) ratio is critical for functionality

    • Standard ranges of 3-6 FITC molecules per antibody provide optimal signal

    • Higher conjugation ratios can cause:

      • Solubility problems

      • Internal quenching through FRET effects

      • Altered binding characteristics

  • FITC stability issues:

    • FITC is sensitive to photobleaching

    • pH sensitivity of fluorescein (maximum fluorescence at pH 8-9)

    • Reactive FITC (isothiocyanate form) is unstable once solubilized

  • Validation complexities:

    • Limited availability of Slfn9-knockout models

    • Challenging to distinguish between closely related family members

    • Need for multiple validation approaches (WB, IP-MS, functional assays)

Technical solutions:

  • For antibody specificity:

    • Use recombinant expression of Slfn9 fragments unique to this family member

    • Validate through multiple techniques including knockout models

    • Consider monoclonal antibody development for increased specificity

  • For optimal conjugation:

    • Monitor the conjugation reaction carefully (30-60 minutes at room temperature)

    • Use gradient DEAE Sephadex chromatography to isolate optimally labeled antibodies

    • Measure the F/P ratio spectrophotometrically after purification

  • For stabilization:

    • Store in buffered solutions containing 50% glycerol at -20°C

    • Add stabilizers like BSA (1%) and mild preservatives

    • Aliquot to minimize freeze-thaw cycles

    • Consider alternative fluorophores with higher stability for certain applications

These technical considerations are crucial for researchers developing or using FITC-conjugated Slfn9 antibodies, particularly for advanced applications requiring high specificity and sensitivity.

How can I troubleshoot non-specific binding issues with FITC-conjugated Slfn9 antibodies?

Non-specific binding is a common challenge when working with antibodies against Schlafen family proteins due to their sequence similarity. Here's a systematic approach to troubleshooting:

  • Identify the pattern of non-specific binding:

    • Background in all cells vs. specific cell populations

    • Nuclear vs. cytoplasmic non-specific staining

    • Signal in known negative controls

  • Optimization strategies:

IssuePotential CauseSolutionImplementation
High background in all cellsInsufficient blockingIncrease blocking time/concentrationUse 5-10% serum from same species as secondary antibody; add 0.1-0.3% Triton X-100
Cross-reactivity with other Schlafen proteinsAntibody specificity issuesPeptide competition assayPre-incubate antibody with immunizing peptide
Non-specific Fc receptor bindingFc receptor expression on target cellsAdd Fc receptor blocking reagentUse commercial Fc block or 10% serum prior to staining
Aggregated antibodyImproper storageFilter antibody solutionUse 0.22 μm filter prior to staining
Excessive antibody concentrationOver-stainingTitrate antibodyTest dilutions from 1:10 to 1:500
  • Advanced troubleshooting for Slfn9-specific issues:

    • For cross-reactivity with Slfn8/10: Use Slfn8/9/10 triple knockout cells as negative controls

    • For distinguishing cytoplasmic vs. nuclear signals: Use fractionation controls with markers like GAPDH (cytoplasmic) and Histone H3 (nuclear)

    • For confirmation of specificity: Use siRNA knockdown of Slfn9 to confirm signal reduction

  • Validation approaches:

    • Compare results across multiple detection methods (flow cytometry, IF, Western blot)

    • Use alternative antibody clones targeting different epitopes

    • Confirm signals correlate with mRNA expression data

If persistent issues occur, consider alternative detection strategies such as epitope tagging of Slfn9 in model systems or using mRNA detection methods like RNA-FISH as complementary approaches.

What methods can be used to assess the quality of FITC conjugation to Slfn9 antibodies?

Assessing FITC conjugation quality is critical for ensuring optimal antibody performance. Several analytical methods can determine conjugation efficiency and functionality:

  • Spectrophotometric determination of F/P ratio:

    • Measure absorbance at 280 nm (protein) and 495 nm (FITC)

    • Optimal F/P ratio is typically 3-6 FITC molecules per antibody

  • Quality assessment by chromatography:

    • Gradient DEAE Sephadex chromatography separates antibodies based on conjugation level

    • Size-exclusion chromatography detects aggregation

    • Assess purity and homogeneity of the conjugated antibody preparation

  • Functional validation:

    • Flow cytometry titration to determine optimal working dilution

    • Comparative analysis with unconjugated antibody using secondary detection

    • Signal-to-noise ratio comparison at different F/P ratios

  • Stability assessment:

    • Accelerated stability testing at different temperatures

    • Photobleaching resistance measurement

    • Freeze-thaw cycle tolerance testing

Recommended quality parameters for FITC-conjugated Slfn9 antibodies:

ParameterOptimal RangeMethod of AssessmentSignificance
F/P ratio3-6SpectrophotometryBalance between signal strength and quenching
Free FITC<5%TLC or HPLCMinimizes background fluorescence
Antibody aggregation<10%Size-exclusion chromatographyPrevents non-specific binding
Specific activity≥85% of unconjugatedBinding assay comparisonEnsures conjugation didn't affect binding site
pH stabilityStable at pH 7.2-7.4Fluorescence at varying pHPredicts performance in biological buffers

For research laboratories without access to specialized analytical equipment, comparing the performance of different batches against a reference standard using flow cytometry is a practical approach to ensure consistent quality.

How can I optimize detection sensitivity when using FITC-conjugated Slfn9 antibodies in low-expression contexts?

Detecting Slfn9 in contexts with low expression levels presents challenges that require specific optimization strategies:

  • Signal amplification techniques:

    • Tyramide signal amplification (TSA) - can increase sensitivity up to 100-fold

    • Biotin-streptavidin systems using biotinylated anti-FITC antibodies

    • Fluorescent anti-FITC antibodies for secondary amplification

  • Instrument and acquisition optimization:

    • Use high-sensitivity PMTs/detectors for flow cytometry

    • Increase laser power (while monitoring photobleaching)

    • For microscopy:

      • Use high-NA objectives

      • Increase exposure time (with anti-fading agents)

      • Use sensitive cameras (EMCCD or sCMOS)

  • Sample preparation enhancement:

    • Upregulate Slfn9 expression where biologically relevant:

      • Type I IFN treatment increases Schlafen expression

      • DNA damage induces recruitment to specific cellular compartments

    • Reduce autofluorescence:

      • Use cell culture media without phenol red

      • Include Sudan Black B (0.1-0.3%) to quench tissue autofluorescence

      • Use specialized buffers to reduce cellular autofluorescence

  • Alternative detection strategies:

    • Consider brighter fluorophores (e.g., Alexa Fluor 488 instead of FITC)

    • Use highly sensitive enzyme-based detection for tissue sections

    • Employ proximity ligation assay (PLA) to detect interactions with known binding partners

  • Data analysis approaches:

    • Use digital signal processing and deconvolution for imaging data

    • Apply spectral unmixing to separate FITC signal from autofluorescence

    • Implement statistical approaches for low signal-to-noise data:

      • Probability binning

      • T-distributed stochastic neighbor embedding (t-SNE)

      • Clustering algorithms to identify positive populations

Practical implementation strategy for low-abundance Slfn9 detection:

  • Start with higher antibody concentration (1:20 dilution)

  • Extend incubation time (overnight at 4°C)

  • Add a secondary anti-FITC amplification step

  • Incorporate careful background controls to distinguish true signal

  • Consider cell enrichment techniques to focus on populations with higher expression

These optimizations are particularly important when studying Slfn9 in non-stimulated cells or in tissues with naturally low expression levels.

How can FITC-conjugated Slfn9 antibodies contribute to understanding innate immune sensing of nucleic acids?

Recent discoveries have established Slfn9 as a novel innate immune sensor for intracellular single-stranded DNA, specifically recognizing CGT motifs . FITC-conjugated Slfn9 antibodies provide powerful tools to further elucidate these pathways:

  • Visualizing DNA sensing dynamics:

    • Track Slfn9 localization changes after pathogen infection

    • Monitor recruitment to DNA-rich cellular compartments

    • Observe real-time responses to synthetic ODNs containing CGT motifs

  • Dissecting structural requirements for DNA recognition:

    • Analyze co-localization of Slfn9 with different DNA structures

    • Compare binding patterns with various DNA modifications (methylation, phosphorothioate)

    • Investigate structure-function relationships between DNA binding and immune activation

  • Mapping the DNA sensing interactome:

    • Identify proteins co-localizing with Slfn9 after DNA stimulation

    • Track formation of signaling complexes using multi-color imaging

    • Monitor downstream effects on cytokine expression and cell death pathways

  • Investigating pathogen evasion mechanisms:

    • Study how viral or bacterial pathogens might interfere with Slfn9 function

    • Examine changes in Slfn9 localization during infection

    • Compare responses between virulent and attenuated pathogens

Experimental approaches using FITC-conjugated Slfn9 antibodies:

Research QuestionMethodologyExpected OutcomeSignificance
How quickly does Slfn9 respond to cytosolic DNA?Live-cell imaging with membrane-permeable FITC-conjugated Fab fragmentsTemporal dynamics of Slfn9 relocalizationReveals kinetics of innate immune sensor activation
What cell types utilize Slfn9 for DNA sensing?Flow cytometry panel including FITC-Slfn9 across immune cell populationsCell type-specific expression patternsIdentifies key cellular players in this pathway
How does Slfn9 binding to DNA trigger downstream signaling?Immunoprecipitation of Slfn9 followed by interactome analysisIdentification of signaling partnersReveals molecular mechanisms of signal transduction
What is the role of Slfn9 in inflammatory diseases?Tissue analysis in disease models using FITC-Slfn9 antibodyAltered expression or localization in disease statesPotential therapeutic implications

These approaches could significantly advance our understanding of how the innate immune system detects foreign or mislocalized DNA, with implications for autoimmune disorders, inflammation, and host defense against pathogens.

What are the emerging roles of Slfn9 in cancer biology and how can FITC-conjugated antibodies enable their investigation?

While research on Slfn9's role in cancer biology is still emerging, studies of related Schlafen family members suggest important functions that can be investigated using FITC-conjugated antibodies:

  • Potential roles in DNA damage response and chemosensitivity:

    • Mouse Slfn9, like human SLFN11, appears involved in replication fork destabilization

    • This mechanism influences sensitivity to DNA-damaging chemotherapeutics

    • FITC-Slfn9 antibodies enable:

      • Analysis of expression levels across cancer models

      • Correlation of expression with treatment response

      • Dynamic tracking of subcellular localization after chemotherapy

  • Regulation of cancer cell growth and differentiation:

    • Schlafen family members influence cell cycle progression and growth

    • FITC-conjugated antibodies allow:

      • Cell cycle-correlated expression analysis by flow cytometry

      • Visualization of expression changes during differentiation

      • Identification of cancer subpopulations with differential expression

  • Immune surveillance mechanisms:

    • As a DNA sensor, Slfn9 may participate in recognition of tumor-derived DNA

    • Antibody-based detection enables:

      • Analysis of tumor-infiltrating immune cells for Slfn9 activation

      • Studies of Slfn9 function in anti-tumor immunity

      • Investigation of potential immune evasion mechanisms

  • Biomarker potential:

    • Expression patterns of Schlafen family proteins correlate with prognosis in some cancers

    • FITC-conjugated antibodies facilitate:

      • High-throughput screening of patient samples

      • Multiparameter analysis with other cancer markers

      • Monitoring expression changes during treatment

Methodological approaches:

For studying Slfn9 in cancer contexts, researchers can employ FITC-conjugated antibodies in several workflows:

  • Ex vivo analysis: Compare Slfn9 expression and localization in tumor vs. normal tissues

  • Drug response studies: Track dynamics of Slfn9 expression and localization after chemotherapy

  • Functional assessments: Correlate Slfn9 levels with measures of replication stress, DNA damage, and cell death

  • Interaction studies: Identify cancer-specific Slfn9 binding partners through co-localization and proximity ligation assays

These applications may reveal novel aspects of cancer biology and potentially identify new therapeutic targets or biomarkers.

What are the key considerations for selecting and validating FITC-conjugated Slfn9 antibodies for specific research applications?

Selecting the appropriate FITC-conjugated Slfn9 antibody requires careful consideration of several factors to ensure reliable and reproducible results:

  • Application-specific selection criteria:

    • Flow cytometry: Prioritize high signal-to-noise ratio and minimal background

    • Microscopy: Consider photostability and optimal F/P ratio

    • Western blotting: Verify performance under denaturing conditions (note that FITC fluorescence may be affected)

  • Critical validation steps:

    • Specificity testing using Slfn9-knockout samples

    • Cross-reactivity assessment with closely related Schlafen family members

    • Confirmation of expected molecular weight and localization patterns

    • Functional correlation with biological responses (e.g., IFN stimulation, DNA damage)

  • Technical parameters to evaluate:

    • F/P ratio (optimal range: 3-6 FITC molecules per antibody)

    • Lot-to-lot consistency

    • Stability under experimental conditions

    • Performance in complex samples (tissue sections, primary cells)

  • Documentation requirements:

    • Complete antibody information (clone, lot, host, immunogen)

    • Validation data including positive and negative controls

    • Optimization parameters for specific applications

    • Reproducibility assessment across multiple experiments

The rapid evolution of the Schlafen gene family and the high homology between members makes rigorous validation particularly important for Slfn9 antibodies. Researchers should consider developing a systematic validation workflow tailored to their specific research questions and model systems.

What future directions are emerging in the study of Slfn9 and how might antibody technology evolve to address these needs?

The study of Slfn9 and related Schlafen family proteins is an evolving field with several promising research directions that will require advanced antibody technologies:

  • Emerging research areas for Slfn9:

    • Precise mechanisms of DNA recognition and binding specificity

    • Structural biology of Slfn9-DNA complexes

    • Role in inflammatory and autoimmune diseases

    • Potential as therapeutic target or biomarker

    • Evolutionary relationships between Schlafen family members across species

  • Technical innovations in antibody development:

    • Single-domain antibodies with enhanced specificity for closely related proteins

    • Intrabodies for live-cell tracking of endogenous Slfn9

    • Proximity-based labeling antibodies to identify transient interaction partners

    • Bifunctional antibodies for simultaneous detection of Slfn9 and binding partners

    • Photoswitchable fluorophore conjugates for super-resolution microscopy

  • Integration with emerging technologies:

    • Combining antibody detection with CRISPR-Cas9 gene editing for precise functional studies

    • Single-cell proteomics approaches using antibody-based detection

    • In vivo imaging of Slfn9 dynamics using optimized antibody fragments

    • Spatial transcriptomics combined with antibody staining to correlate protein expression with mRNA

  • Translational applications:

    • Development of diagnostic tools based on Slfn9 detection

    • High-throughput screening approaches for drug discovery

    • Therapeutic targeting of DNA sensing pathways

    • Predictive biomarkers for response to DNA-damaging agents

The continued refinement of antibody technologies, particularly for detecting closely related family members like Slfn8 and Slfn9, will be essential for advancing our understanding of these important immune sensors and their diverse biological functions.

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