C17orf99 (chromosome 17 open reading frame 99) encodes IL-40 (Interleukin-40), a recently discovered B cell-associated cytokine that plays a significant role in humoral immune responses. Identified in 2017, this small secreted protein (~27 kDa) is expressed primarily in bone marrow, fetal liver, and activated B cells . IL-40 is evolutionarily unique and only present in mammalian genomes, suggesting specialized functions in mammalian immune responses . Its significance lies in its involvement in B cell development and immunoglobulin production, particularly IgA . Research interest has increased due to its potential role in autoimmune conditions such as rheumatoid arthritis, systemic lupus erythematosus, and primary Sjögren's syndrome .
C17orf99/IL-40 antibodies are valuable tools for multiple research applications:
Immunohistochemistry (IHC): Typically used at dilutions of 1:50-1:200 to visualize expression patterns in tissue sections
Immunocytochemistry/Immunofluorescence (ICC/IF): For cellular localization studies, showing positivity in the nucleus but not nucleoli in certain cell lines
Western Blotting: For detecting the protein at its expected molecular weight of approximately 27 kDa
ELISA: For quantifying IL-40 levels in serum and other biological fluids, especially in autoimmune disease studies
When selecting antibodies for these applications, researchers should consider validation data showing specificity and sensitivity in the intended experimental system.
C17orf99/IL-40 expression in B cells is regulated through several mechanisms:
Activation-dependent expression: Naive B cells express minimal IL-40, but expression increases significantly upon activation
Receptor-mediated stimulation: CD40 ligation combined with IL-4 strongly induces C17orf99 expression
Cytokine influence: Multiple cytokines modulate expression, with TGF-β1 particularly potentiating C17orf99 expression
Tissue-specific regulation: Expression is highest in bone marrow and fetal liver, suggesting developmental regulation
Expression analysis using qPCR shows that C17orf99 expression decreases rapidly (becoming undetectable by 48 hours) when isolated B cells are cultured in vitro without appropriate stimulation .
When using C17orf99 antibodies, include the following controls:
Positive tissue controls: Human liver tissue has been validated for IHC applications
Positive cell line controls: U-251MG cell line shows nuclear positivity and is recommended for ICC/IF applications
Negative controls: Include isotype controls and samples known to lack C17orf99 expression
Blocking peptide controls: Use specific antigen controls when available to confirm specificity
Cross-reactivity controls: Test species with varying homology (human: 100%, dog: 85%, rat: 77%) to establish specificity
Always validate antibody performance in your specific experimental system before proceeding with larger studies.
For autoimmune disease research, C17orf99/IL-40 antibodies can be employed with these methodological approaches:
Serum biomarker analysis: Measure IL-40 levels in patients with rheumatoid arthritis or other autoimmune conditions using validated ELISA protocols
Tissue expression studies: Compare IL-40 expression patterns in affected tissues using IHC:
Cellular source identification: Use dual immunofluorescence staining with CD19 (B cell marker) and C17orf99 antibodies to identify specific cell populations producing IL-40 in disease states
Research has shown elevated IL-40 levels in rheumatoid arthritis patients compared to healthy controls, with levels decreasing following B-cell depletion therapy .
To effectively detect C17orf99 in B cell subpopulations:
B cell isolation and activation protocol:
qPCR detection strategy:
Gating strategy for flow cytometry:
Follow established protocols for B cell subset identification as described in references 17 and 18 from the original study .
Comprehensive validation of C17orf99 antibodies should include:
Cross-platform validation:
Genetic validation approaches:
Peptide competition assay:
Cross-species reactivity assessment:
Test antibodies against samples from species with varying homology:
To investigate C17orf99 function in B cell development and IgA production:
In vivo knockout models:
In vitro functional assays:
B cell differentiation in the presence/absence of recombinant IL-40
IgA class switching frequency measurement
Antibody secretion quantification
B cell proliferation and survival assays
Rescue experiments:
When confronting contradictory data in C17orf99 research:
Technical variance analysis:
Biological context considerations:
| Context | Expression Level | Regulation Factors | Detection Methods |
|---|---|---|---|
| Naive B cells | Low/Undetectable | Requires activation | qPCR, Flow cytometry |
| Activated B cells | High | CD40L, IL-4, TGF-β1 | qPCR, Flow cytometry, Western blot |
| Bone marrow | Moderate | Developmental stage | IHC, qPCR |
| Autoimmune disease | Elevated | Disease activity | ELISA, IHC |
Experimental design reconciliation:
Validation through orthogonal approaches:
Current evidence suggests multiple connections between IL-40 and other cytokine networks:
Cytokine induction relationships:
Potential signaling pathway intersections:
JAK/STAT pathway: Given IL-40's classification as an interleukin
TGF-β signaling: Based on TGF-β1's potentiation effect
NF-κB pathway: Common in B cell activation processes
Methodological approaches to investigate pathway connections:
Phosphoproteomic analysis following IL-40 stimulation
Inhibitor studies targeting specific nodes in potential signaling pathways
Co-immunoprecipitation to identify binding partners
Reporter assays for pathway activation
Research examining IL-40 in the context of other cytokines will provide valuable insights into its place within the immune signaling network.
For human autoimmune disease research on C17orf99/IL-40:
Multiparameter analysis techniques:
Multiplex cytokine assays including IL-40 alongside established biomarkers
Single-cell transcriptomics to identify IL-40-producing cell populations
Mass cytometry (CyTOF) with IL-40 antibodies for high-dimensional profiling
Longitudinal monitoring strategies:
Serial sampling before and after treatment interventions
Correlation with disease activity scores (e.g., DAS28 for RA)
Integration with patient-reported outcomes
Experimental design considerations:
| Disease | Sample Type | Key Measurements | Controls |
|---|---|---|---|
| Rheumatoid Arthritis | Serum, Synovial fluid | IL-40, RF, anti-CCP | Age/sex-matched healthy, OA patients |
| SLE | Serum, PBMCs | IL-40, dsDNA antibodies | Age/sex-matched healthy |
| Sjögren's syndrome | Serum, Salivary gland | IL-40, SSA/SSB antibodies | Sicca without autoimmunity |
Recent research demonstrates elevated IL-40 levels in RA that decrease following B-cell depletion therapy, suggesting IL-40 as a potential biomarker for treatment response .
When developing new C17orf99/IL-40 detection methods:
Epitope mapping and antibody development:
Target multiple epitopes across the protein sequence
Evaluate antibody pairs that recognize different regions for sandwich ELISA development
Develop monoclonal antibodies with high specificity and sensitivity
Assay optimization parameters:
Detection range: Optimize to cover physiological and pathological ranges
Sample matrix effects: Validate in serum, plasma, cell culture supernatants
Stability: Assess analyte stability under various storage conditions
Cross-reactivity: Test against related cytokines and proteins
Novel detection technologies:
Digital ELISA platforms for ultrasensitive detection
Aptamer-based biosensors for real-time monitoring
Mass spectrometry-based targeted proteomics approaches
To investigate C17orf99/IL-40 and gut microbiome relationships:
Integrated sampling approach:
Paired collection of fecal samples and serum for IL-40 quantification
IgA-bound bacteria isolation from fecal samples
Intestinal tissue biopsies for local IL-40 expression analysis
Luminal content collection for secretory IgA measurement
Microbiome analysis techniques:
16S rRNA sequencing for bacterial composition
Metagenomics for functional pathway analysis
Metabolomics to identify microbial metabolites affected by IL-40/IgA changes
FISH combined with flow cytometry for targeted bacterial group analysis
Experimental models:
Gnotobiotic mice with defined microbial communities
Fecal microbiota transplantation between C17orf99-/- and wild-type mice
Ex vivo intestinal organoid co-culture with microbiota
Research with C17orf99-/- mice has demonstrated altered microbiome composition, likely resulting from reduced IgA levels in the gut, highlighting the functional importance of this cytokine in host-microbiome interactions .
For optimal C17orf99/IL-40 detection across tissue types:
Tissue-specific preparation protocols:
Sample collection considerations:
Preservation of phosphorylation states:
Use phosphatase inhibitors in lysis buffers
Rapid fixation for phospho-flow cytometry analysis
Flash freezing for proteomics applications
For designing multiplex assays incorporating C17orf99/IL-40:
Antibody compatibility assessment:
Screen for cross-reactivity between detection antibodies
Optimize antibody concentrations to prevent interference
Validate detection in mixed standard curves
Assay format selection:
Bead-based multiplex systems (Luminex) for serum/plasma samples
Multiplex ELISA arrays for limited sample volume
Digital ELISA platforms for ultrasensitive detection
Flow cytometry-based cytokine detection for cellular sources
Validation requirements:
Single-analyte standard curves vs. multiplex format
Spike-recovery in complex matrices
Dilution linearity assessment
Comparison with established single-analyte methods
To reconcile transcript-protein expression discrepancies:
Post-transcriptional regulation assessment:
miRNA prediction and validation for C17orf99 transcript
RNA stability assays with transcription inhibitors
Polysome profiling to assess translation efficiency
Protein half-life determination with cycloheximide chase
Technical considerations:
| Issue | Investigation Approach | Potential Resolution |
|---|---|---|
| Transcript detected, protein absent | Protein degradation during extraction | Modify buffer conditions, add protease inhibitors |
| Protein detected, low transcript | Stable protein with high turnover transcript | Measure transcript stability, adjust timing |
| Inconsistent ratios between samples | Cell type-specific post-transcriptional regulation | Compare transcript:protein ratios across cell types |
| Antibody specificity issues | Multiple antibody validation | Epitope mapping, use multiple antibodies |
Single-cell approaches:
CITE-seq for simultaneous protein and transcript detection
Imaging mass cytometry with RNA probes and protein antibodies
Single-cell western blotting compared to scRNA-seq
For quality control of C17orf99/IL-40 recombinant protein:
Production verification checklist:
Expression vector confirmation: Verify correct C17orf99 sequence
Protein size validation: Western blot showing ~27 kDa band
Endotoxin testing: Limulus amebocyte lysate (LAL) assay (<1 EU/μg protein)
Host cell protein contamination: Host cell protein ELISA
Stability parameters:
Thermal stability: Differential scanning fluorimetry
Freeze-thaw stability: Activity retention after cycles
Long-term storage: Activity at various timepoints
Aggregation assessment: Size exclusion chromatography
Tag influence assessment:
To identify C17orf99/IL-40 receptors and binding partners:
Protein interaction screening methods:
BioID or APEX2 proximity labeling with IL-40 as bait
Co-immunoprecipitation followed by mass spectrometry
Yeast two-hybrid screening against immune cell cDNA libraries
Protein microarray screening with recombinant IL-40
Signaling pathway analysis:
Phosphoproteomic analysis following IL-40 stimulation
Transcriptomic profiling of IL-40-treated cells
CRISPR screening for genes affecting IL-40 responsiveness
Reporter cell lines expressing different candidate receptors
Structural biology approaches:
In silico modeling based on related cytokines
Epitope mapping using antibody binding interference
Hydrogen-deuterium exchange mass spectrometry
X-ray crystallography or cryo-EM of IL-40 complexes
For developing conditional C17orf99 knockout models:
Strategic targeting approaches:
Floxed C17orf99 allele design targeting critical exons
Cell type-specific Cre lines for B cell subtypes:
CD19-Cre for general B cell deletion
Mb1-Cre for early B cell progenitor deletion
AID-Cre for germinal center B cell deletion
Inducible systems (tamoxifen-inducible CreERT2)
Tissue-specific promoters for mammary gland or intestinal epithelium
Experimental design for phenotypic analysis:
| Tissue/Cell Type | Cre Driver | Key Phenotypes to Assess | Controls |
|---|---|---|---|
| B cells | CD19-Cre | IgA production, Peyer's patches, microbiome | Cre-only, floxed-only |
| Mammary epithelium | MMTV-Cre | Lactation-associated IgA | Heterozygous deletion |
| Intestinal cells | Villin-Cre | Gut IgA, microbiome composition | Littermate controls |
| Inducible deletion | Rosa26-CreERT2 | Temporal requirements for IL-40 | Vehicle-treated floxed |
Rescue approaches:
AAV-mediated expression of C17orf99 in knockout tissues
Bone marrow chimeras with wild-type and knockout cells
Recombinant IL-40 administration studies
To investigate C17orf99/IL-40 in pathogen response and mucosal immunity:
Infection model design:
Bacterial challenges: Citrobacter rodentium, Salmonella
Viral challenges: Influenza, rotavirus
Parasitic models: Giardia, Cryptosporidium
Compare WT vs. C17orf99-/- mice for pathogen clearance, tissue damage, and immune response
Human translational approaches:
IL-40 levels in mucosal secretions during infection
SNP analysis of C17orf99 in cohorts with recurrent infections
Ex vivo stimulation of human mucosal tissues with pathogens
Correlation between IL-40 levels and secretory IgA in various conditions
Mechanistic investigations:
| Mechanism | Experimental Approach | Readouts |
|---|---|---|
| IgA class switching | In vitro B cell cultures with IL-40 | Flow cytometry for surface IgA, ELISPOT |
| Plasma cell differentiation | Transcription factor analysis | qPCR for Blimp-1, XBP1 |
| Epithelial interaction | Co-culture systems | Transcriptomics, barrier function |
| Antigen-specific responses | Immunization models | Antigen-specific IgA ELISA |