The CIART (Circadian-associated transcriptional repressor) antibody is a research tool designed to detect and study the CIART protein, a key regulator of circadian rhythms and viral infection mechanisms. CIART, encoded by the CIART gene (Gene ID: 148523), functions as a transcriptional repressor within the circadian clock network, modulating gene expression through histone deacetylase-dependent pathways . Recent studies highlight its role in SARS-CoV-2 infection, where it regulates viral replication via metabolic pathways and nuclear receptor interactions .
CIART antibodies are validated for multiple experimental applications, including:
Immunohistochemistry (IHC): Detects CIART in human tissues (e.g., small intestine) .
ELISA: Quantifies CIART protein levels in biological samples .
Immunofluorescence (IF): Localizes CIART in cellular compartments, such as nuclei and PML bodies .
CIART represses the CLOCK-ARNTL/BMAL1 heterodimer, reducing histone acetylation at circadian gene promoters . It rhythmically binds E-box elements, exhibiting antiphasic oscillation to ARNTL/BMAL1 .
Mechanism: CIART knockout (CRISPR-based) in human pluripotent stem cell-derived organoids (lung, cardiac) reduced SARS-CoV-2 infection by 50–70%, independent of viral entry .
Pathway: CIART modulates fatty acid synthesis (e.g., palmitic acid) and NR4A1 expression, both critical for viral replication .
Specificity: CIART upregulation is not exclusive to SARS-CoV-2; influenza infection also induces its expression .
Specificity: Antibodies are validated using protein arrays and knockout controls .
Cross-reactivity: Predicted homology to mouse and rat isoforms (97–95% sequence identity) .
Further studies are needed to explore CIART’s dual role in circadian biology and viral pathogenesis, particularly its interaction with glucocorticoid receptors . Antibody-based targeting of CIART could inform therapeutic strategies against SARS-CoV-2 and other circadian-related disorders.
CIART (Circadian-associated transcriptional repressor), also known as CHRONO or C1orf51, functions as a transcriptional repressor in the circadian clock regulatory system. It abrogates the interaction between ARNTL/BMAL1 and the transcriptional coactivator CREBBP, thereby repressing the histone acetyl-transferase action of the CLOCK-ARNTL/BMAL1 heterodimer . This action reduces histone acetylation of target genes. CIART rhythmically binds to E-box components (5'-CACGTG-3') on circadian gene promoters, with its occupancy showing circadian oscillation antiphasic to ARNTL/BMAL1 . More recently, CIART has been identified as a key factor in SARS-CoV-2 infection across multiple tissue types, making it an important target for COVID-19 research .
Current research validates CIART antibodies for several key applications:
| Application | Validation Status | Species Reactivity |
|---|---|---|
| Immunohistochemistry (IHC) | Validated | Human, Mouse, Rat |
| Western Blot (WB) | Validated | Human, Mouse, Rat |
| Immunocytochemistry/Immunofluorescence (ICC/IF) | Validated | Human, Mouse, Rat |
These applications have been validated through extensive testing on tissues and cell lines known to express CIART . When selecting antibodies for research, it is crucial to verify specific reactivity for your experimental model organism, as not all antibodies cross-react across species.
CIART expression demonstrates tissue-specific patterns with nuclear localization. It co-localizes with the CLOCK-ARNTL/BMAL1 heterodimer in PML (Promyelocytic Leukemia) bodies within the nucleus . Research indicates that CIART expression follows circadian patterns, with its binding to target promoters occurring in patterns antiphasic to the CLOCK-ARNTL/BMAL1 complex . In studies examining SARS-CoV-2 infection, CIART has been found to be expressed in lung airway organoids, lung alveolar organoids, and cardiomyocytes derived from human pluripotent stem cells, suggesting broad expression across respiratory and cardiovascular tissues .
Recent research using multi-organoid platforms has identified CIART as a critical host factor in SARS-CoV-2 infection . Lung airway organoids, lung alveolar organoids, and cardiomyocytes derived from isogenic CIART−/− human pluripotent stem cells demonstrate significant resistance to SARS-CoV-2 infection, independent of viral entry mechanisms .
For investigating this relationship, recommended antibody-based techniques include:
Immunohistochemistry (IHC) on infected versus non-infected tissue organoids to visualize CIART expression patterns
Western blot (WB) analysis to quantify CIART expression levels before and after infection
Co-immunoprecipitation to identify protein-protein interactions between CIART and viral components
Immunofluorescence combined with confocal microscopy to observe subcellular localization changes of CIART during infection
Single-cell RNA-sequencing analysis has validated decreased levels of SARS-CoV-2 infection in ciliated-like cells of lung airway organoids lacking CIART , suggesting cell-type specific roles that can be further investigated using antibody-based cell sorting followed by functional assays.
For optimal Western blot detection of CIART (approximate molecular weight: 41.443 kDa), researchers should consider the following protocol optimizations:
Sample preparation:
Use RIPA buffer supplemented with protease inhibitors for cell lysis
For nuclear proteins like CIART, include a nuclear extraction step
Sonicate briefly to shear genomic DNA and reduce sample viscosity
Gel electrophoresis conditions:
Use 10-12% polyacrylamide gels for optimal resolution of CIART
Load 20-40 μg of total protein per lane
Transfer and blotting:
PVDF membranes typically yield better results than nitrocellulose for CIART detection
Block with 5% non-fat milk or BSA in TBST for 1 hour at room temperature
Incubate with primary CIART antibody at 1:1000 dilution overnight at 4°C
Use HRP-conjugated secondary antibodies at 1:5000 dilution
Controls:
Include positive controls from tissues known to express CIART (brain tissue samples)
Use CIART knockout or knockdown samples as negative controls
Include housekeeping proteins (β-actin, GAPDH) for normalization
Optimizing these conditions will increase specificity and reduce background, which is particularly important when detecting CIART in complex tissue samples .
Validating antibody specificity for CIART requires a multi-faceted approach:
Genetic validation:
Compare antibody staining between wild-type and CIART knockout models
Use siRNA or shRNA knockdown of CIART followed by Western blot analysis
Perform antibody staining in tissues with known differential expression of CIART
Peptide competition assays:
Pre-incubate antibody with excess CIART antigenic peptide
Compare staining patterns with and without peptide competition
Loss of signal in peptide-competed samples confirms specificity
Cross-validation with multiple antibodies:
Use multiple antibodies targeting different epitopes of CIART
Consistent staining patterns across antibodies suggest specificity
Orthogonal validation:
Correlate protein detection with mRNA expression data
Confirm subcellular localization matches known distribution (nuclear and PML bodies)
Mass spectrometry confirmation:
Perform immunoprecipitation with the CIART antibody
Analyze pulled-down proteins with mass spectrometry to confirm target identity
Researchers should document these validation steps thoroughly, as they significantly strengthen the reliability of experimental findings .
For optimal CIART detection in tissue samples via immunohistochemistry, the following protocol adjustments are recommended:
Fixation and processing:
Use 10% neutral buffered formalin for 24-48 hours
For nuclear antigens like CIART, avoid overfixation
Process tissues into paraffin blocks following standard protocols
Antigen retrieval:
Heat-induced epitope retrieval in citrate buffer (pH 6.0) for 20 minutes
Alternative: EDTA buffer (pH 9.0) if citrate buffer yields insufficient results
Allow slides to cool gradually to room temperature (approximately 20 minutes)
Blocking and antibody incubation:
Block endogenous peroxidases with 3% hydrogen peroxide (10 minutes)
Block non-specific binding with 5% normal serum from secondary antibody host species
Incubate with primary anti-CIART antibody at 1:100-1:200 dilution overnight at 4°C
Use highly sensitive detection systems (e.g., polymer-based detection)
Controls and counterstaining:
Include positive control tissues with known CIART expression
Use isotype controls to assess non-specific binding
Counterstain with hematoxylin to provide cellular context
Consider nuclear counterstains to facilitate visualization of CIART's nuclear localization
For multi-label immunofluorescence studies, sequential staining protocols may be necessary to avoid cross-reactivity when examining CIART co-localization with circadian rhythm proteins .
For effective application of CIART antibodies in organoid-based SARS-CoV-2 infection models, researchers should consider:
Sample preparation for organoids:
Fix organoids in 4% paraformaldehyde for 30-60 minutes
For whole-mount staining, permeabilize with 0.5% Triton X-100 for 30 minutes
For sectioning, embed in paraffin or OCT compound after fixation
Antibody optimization for 3D cultures:
Increase primary antibody incubation time (24-48 hours) for better penetration
Use higher antibody concentrations than for 2D cultures (typically 1.5-2× higher)
Include 0.1% Triton X-100 in antibody diluent to improve penetration
Imaging considerations:
Use confocal microscopy for precise localization in 3D structures
Consider tissue clearing techniques for whole-mount imaging of larger organoids
Acquire z-stack images to capture CIART expression throughout the organoid
Experimental design for infection studies:
Compare CIART expression in mock-infected versus SARS-CoV-2 infected organoids
Examine time-course changes in CIART expression following infection
Co-stain with viral markers to assess correlation between CIART levels and viral load
Quantification approaches:
Use digital image analysis for quantifying nuclear CIART expression
Consider single-cell analysis approaches to account for heterogeneity within organoids
Correlate immunostaining results with transcriptomic data when available
These methodological adaptations will help overcome the challenges inherent in working with 3D organoid cultures while generating reliable data on CIART's role in SARS-CoV-2 infection .
When facing inconsistent results with CIART antibodies, researchers should systematically troubleshoot using the following strategies:
Antibody-related factors:
Check antibody storage conditions and avoid repeated freeze-thaw cycles
Validate antibody lot-to-lot consistency with positive control samples
Consider using alternative antibodies targeting different CIART epitopes
Prepare fresh working dilutions for each experiment
Sample-related factors:
Ensure consistent sample collection and processing protocols
For circadian proteins like CIART, document and standardize sample collection timing
Verify protein integrity through total protein stains on membranes
Use fresh samples when possible, as CIART may degrade during storage
Protocol optimization:
Systematically test different fixation methods and durations
Optimize antigen retrieval conditions (time, temperature, buffer composition)
Adjust blocking reagents to reduce background without affecting specific signals
Test multiple antibody concentrations and incubation times
Technical controls:
Include both positive and negative controls in every experiment
Use internal controls (housekeeping proteins) to normalize for loading variations
Perform parallel experiments with validated antibodies to other circadian proteins
Document all experimental conditions meticulously for troubleshooting
Biological variables:
Account for circadian expression patterns by standardizing collection times
Consider the potential impact of cell cycle phase on nuclear protein expression
For disease models, assess how pathological conditions affect antibody accessibility
Document donor-to-donor variability in human samples
By systematically addressing these factors, researchers can identify sources of variability and establish reliable protocols for CIART detection across experimental systems .
Given CIART's newly discovered role in SARS-CoV-2 infection, antibodies against this protein can be valuable tools in drug discovery:
High-throughput screening applications:
Develop cell-based assays using CIART antibodies to screen compound libraries
Use immunofluorescence-based readouts to quantify CIART expression or localization changes
Establish ELISA-based screening methods to identify compounds that modulate CIART-protein interactions
Target validation approaches:
Employ CIART antibodies in ChIP-seq experiments to identify genomic binding sites
Use co-immunoprecipitation with CIART antibodies to validate protein-protein interaction disruption by candidate drugs
Develop proximity ligation assays to detect changes in CIART interactions following compound treatment
Mechanism of action studies:
Track CIART subcellular localization changes in response to candidate therapeutics
Monitor post-translational modifications of CIART using modification-specific antibodies
Quantify CIART-dependent pathways in the presence of inhibitory compounds
Translational research applications:
Develop immunohistochemistry panels including CIART for patient sample analysis
Correlate CIART expression levels with disease severity or drug responsiveness
Establish predictive biomarkers based on CIART expression patterns
Since CIART's effect on SARS-CoV-2 infection has been linked to fatty acid synthesis stimulation , researchers can develop assays combining CIART antibodies with fatty acid metabolism readouts to identify interventions targeting this specific pathway.
The development of mimetic antibodies (MAs) targeting SARS-CoV-2 based on CIART research involves several specialized considerations:
Computational design strategies:
Scaffold selection considerations:
Experimental validation:
Validate binding affinity using surface plasmon resonance (SPR) or bio-layer interferometry (BLI)
Confirm interaction specificity through competitive binding assays
Assess functional activity in cell-based infection models
Optimization strategies:
Iteratively optimize interface residues to enhance binding affinity
Improve scaffold stability through consensus design approaches
Consider glycosylation engineering to enhance pharmacokinetic properties
Production and characterization:
Establish reproducible expression systems (bacterial, mammalian, or cell-free)
Develop purification strategies yielding homogeneous protein preparations
Perform thorough biophysical characterization (thermal stability, aggregation propensity)
Researchers should consider combining insights from CIART-dependent SARS-CoV-2 mechanisms with established mimetic antibody design principles to develop novel therapeutic candidates that disrupt this infection pathway .