RNF168 antibodies are widely used to:
Detect RNF168 expression in human tissues (e.g., brain, cervical epithelium) and cell lines (e.g., HeLa, RAW 264.7) .
Study RNF168's role in DDR pathways, including homologous recombination (HR) and non-homologous end joining (NHEJ) .
Investigate interactions with DDR mediators like BRCA1, 53BP1, and RAD51 .
HR Regulation: RNF168 inhibits HR in reporter assays but becomes essential for HR defects in BRCA1-deficient cells .
Backup Mechanism for BRCA1: RNF168 supports RAD51 loading and PALB2 recruitment at DNA damage sites, compensating for BRCA1 loss .
53BP1 Ubiquitylation: RNF168 directly ubiquitylates 53BP1, modulating its retention at double-strand breaks (DSBs) .
| Pathway | RNF168 Function | Citation |
|---|---|---|
| NHEJ | Promotes 53BP1 recruitment to enhance error-prone repair | |
| Viral Defense | Targeted by herpes simplex virus ICP0 to suppress DDR and immune responses |
Cancer Therapy: RNF168’s dual role in HR and NHEJ makes it a potential target for synthetic lethality in BRCA1-mutant cancers .
Viral Infection Studies: Insights into how viruses evade DDR (e.g., herpes simplex) highlight RNF168’s broader cellular roles .
RNF168 is an E3 ubiquitin-protein ligase that plays a crucial role in DNA damage response pathways. It acts as a key mediator in the recruitment of repair proteins to sites of DNA damage, particularly at double-strand breaks (DSBs). RNF168 works with UBE2N/UBC13 to amplify RNF8-dependent histone ubiquitination, promoting the formation of 'Lys-63'-linked ubiquitin conjugates . This amplification is essential for concentrating ubiquitinated histones H2A and H2AX at DNA lesions to the threshold required for recruitment of critical repair factors like TP53BP1 and BRCA1 .
The significance of RNF168 in research extends beyond basic DNA repair mechanisms to conditions like RIDDLE syndrome, which has been linked to frameshift mutations resulting in loss-of-function truncations of RNF168 . Additionally, its involvement in class switch recombination in the immune system makes it relevant to immunological research. Understanding RNF168 function provides insights into fundamental genome maintenance mechanisms and pathological conditions associated with genomic instability.
Available RNF168 antibodies vary in several important characteristics:
When selecting an RNF168 antibody, researchers should consider the specific experimental application, target species, and epitope region based on their research question. For example, antibodies targeting the carboxy terminus versus the middle region may have different detection capabilities depending on protein conformation or post-translational modifications.
A comprehensive validation approach for RNF168 antibodies should include multiple complementary methods:
Positive control samples: Test the antibody on cell lines known to express RNF168, such as HeLa, HepG2, Jurkat, or MCF7 cells .
Negative controls and specificity assessment:
Use RNF168 knockout or knockdown samples where possible
Test on non-expressing tissues or cells
Include isotype controls in immunostaining experiments
Cross-validation with multiple detection methods:
Lot-to-lot consistency testing: When receiving a new lot, perform side-by-side comparison with previous lots using standardized samples and protocols.
For optimal results, researchers should document the validation process thoroughly and include validation controls in all critical experiments. This approach helps ensure experimental reproducibility and reliable interpretation of results involving RNF168.
Based on validated protocols across multiple antibody sources, the following conditions are recommended for optimal Western blot detection of RNF168:
Expected result: A specific band at approximately 65-70 kDa, with potentially minor variations based on cell/tissue type and post-translational modifications .
For mouse brain tissue, researchers have successfully detected RNF168 using a concentration of 0.5 μg/mL with sheep anti-mouse RNF168 antibody followed by HRP-conjugated anti-sheep IgG secondary antibody under reducing conditions .
For successful immunofluorescence detection of RNF168, consider the following methodological approach:
Fixation and permeabilization:
Immersion fixation with 4% paraformaldehyde (10-15 minutes at room temperature)
Permeabilization with 0.1-0.5% Triton X-100 (5-10 minutes)
Note: Methanol fixation may be tested if PFA results are suboptimal
Antibody concentrations and incubation:
Counterstaining and controls:
Nuclear counterstain with DAPI is essential as RNF168 shows primarily nuclear localization
Include no-primary-antibody controls to assess background
When possible, include RNF168-depleted cells as negative controls
Expected pattern:
Successful staining has been documented in HeLa cells, RAW 264.7 mouse monocyte/macrophage cell line, and HepG2 cells , making these useful positive control cell lines for protocol optimization.
Several methodological approaches can be employed to study RNF168 recruitment to DNA damage sites:
Laser micro-irradiation coupled with live cell imaging:
Immunofluorescence following DNA damage induction:
Treat cells with DNA-damaging agents (e.g., bleomycin, ionizing radiation)
Fix cells at different time points after treatment
Perform immunostaining with RNF168 antibodies
Quantify foci formation and co-localization with γH2AX or other DDR markers
This method allows assessment of endogenous RNF168 recruitment
Chromatin immunoprecipitation (ChIP):
Induce site-specific DNA breaks using endonucleases (e.g., I-SceI)
Perform ChIP using RNF168 antibodies
Quantify enrichment at break sites by qPCR or sequencing
This approach provides quantitative data on RNF168 recruitment to specific genomic loci
Proximity ligation assay (PLA):
Use antibodies against RNF168 and known interacting partners (e.g., γH2AX, MDC1)
Perform PLA following DNA damage
Quantify PLA signals as a measure of protein-protein interactions at damage sites
When analyzing RNF168 recruitment, researchers should consider factors such as cell cycle phase, chromatin state, and the presence of other DDR factors like RNF8, which acts upstream of RNF168 in the signaling cascade .
For researchers working with RNF168 antibody #21393-1-AP, Proteintech provides specific protocols for Western blot, immunofluorescence, and immunoprecipitation applications that may help in troubleshooting these issues .
When facing contradictory results in RNF168 studies, consider these methodological approaches:
Evaluate antibody specificity and epitope differences:
Consider cellular context variations:
Assess experimental condition differences:
DNA damage type, dose, and timing can affect RNF168 dynamics
Cell cycle phase influences DDR signaling
Solution: Standardize experimental conditions and include appropriate time-course analyses
Address potential technical artifacts:
Validate with orthogonal approaches:
Combine antibody-based methods with genetic approaches (CRISPR/Cas9, siRNA)
Use functional readouts (e.g., DNA repair efficiency, cell survival)
Solution: Implement a multi-method validation strategy
When reporting contradictory results, researchers should thoroughly document all experimental conditions, antibody details, and cell line information to facilitate replication and resolution of discrepancies by the scientific community.
RNF168 antibodies can be strategically employed to investigate its involvement in various disease models:
RIDDLE syndrome research:
Use Western blot with RNF168 antibodies to detect truncated proteins in patient-derived cells
Perform immunofluorescence to assess nuclear localization and foci formation capacity
Analyze different RNF168 frameshift mutations (c.397dupG/c.1323_1326delACCA, c.391C>T, R131X, c295delG) that cause RIDDLE syndrome
Methodological approach: Compare RNF168 expression, localization, and function between patient-derived and healthy control cells
Cancer research:
Analyze RNF168 expression levels in tumor tissues vs. normal tissues
Investigate RNF168 function in HPV-positive cancers, where increased RNF168 levels have been observed
Study how HPV E7 protein interaction with RNF168 (between MIU1 and MIU2 domains) affects DNA repair pathway choice
Methodological approach: Use co-immunoprecipitation with RNF168 antibodies to identify cancer-specific interacting partners
Neurodegenerative disease models:
Examine RNF168 expression and activity in brain tissues from different regions (cortex, thalamus/hypothalamus)
Investigate RNF168's role in preventing genome instability in post-mitotic neurons
Methodological approach: Combine immunohistochemistry with functional DNA repair assays in neuronal models
Immune system disorders:
Analyze RNF168's role in class switch recombination via its involvement in DSB repair
Study RNF168 function in B-cell development and antibody diversity
Methodological approach: Use ChIP with RNF168 antibodies at immunoglobulin loci in B-cells
For all disease models, researchers should combine protein detection using antibodies with functional assays to establish causative relationships between RNF168 dysfunction and disease phenotypes.
To study RNF168's interactions with other DDR proteins, researchers can employ these advanced methodological approaches:
Co-immunoprecipitation (Co-IP) assays:
Recommended protocol: 0.5-4.0 μg antibody for 1.0-3.0 mg of total protein lysate
Analyze interactions before and after DNA damage induction
Detect known interactors like RNF8, UBC13, histones H2A/H2AX, and 53BP1
Example: RNF126 has been shown to directly interact with RNF168 through in vitro pulldown assays using GST-RNF126 and FLAG-RNF168 or His-RNF168
Proximity-dependent labeling:
Fuse RNF168 to BioID or APEX2
Identify proteins in close proximity to RNF168 at DNA damage sites
Compare interactome changes in response to different DNA damaging agents
FRET/BRET analysis:
Tag RNF168 and potential interacting partners with appropriate fluorophores
Measure interaction dynamics in living cells
Assess how mutations or inhibitors affect these interactions
Domain mapping experiments:
Competitive binding assays:
These methodological approaches should be combined with functional assays to understand how protein-protein interactions influence RNF168's E3 ligase activity and its role in the DNA damage response pathway.
CRISPR-based technologies offer powerful complementary approaches to traditional antibody-based studies of RNF168:
Endogenous tagging:
Use CRISPR knock-in to add fluorescent or epitope tags to endogenous RNF168
Advantages: Avoids overexpression artifacts, maintains physiological regulation
Applications: Live cell imaging of endogenous RNF168 recruitment to DNA damage sites
Methodological considerations: Choose tags that don't interfere with RNF168 function; validate tagged protein functionality
Domain-specific mutation:
Generate precise mutations in functional domains (RING finger, MIU domains)
Create cell lines mimicking patient mutations found in RIDDLE syndrome
Applications: Structure-function analysis at endogenous expression levels
Methodological approach: Compare antibody-detected localization patterns between wild-type and mutant RNF168
Controlled degradation systems:
Integrate degron tags for rapid, reversible RNF168 depletion
Applications: Temporal analysis of RNF168 requirements at different stages of the DNA damage response
Advantages over RNAi: More rapid, complete, and reversible protein depletion
CUT&RUN or CUT&Tag with RNF168 antibodies:
Combine CRISPR-generated DSBs at specific genomic loci with antibody-based chromatin profiling
Applications: Genome-wide mapping of RNF168 recruitment patterns following DNA damage
Methodological advantage: Higher resolution and lower background than conventional ChIP
CRISPR screens with RNF168 readouts:
Use antibody-based detection of RNF168 foci or ubiquitination as phenotypic readouts
Applications: Identify novel regulators of RNF168 recruitment and function
Methodological approach: Combine genome-wide CRISPR screening with high-content imaging
When integrating CRISPR approaches with antibody-based methods, researchers should carefully validate that genetic modifications don't create artifacts in antibody recognition or protein function.
Recent technological advances have enabled more sophisticated analysis of RNF168's chromatin-modifying activities:
Mass spectrometry-based ubiquitinomics:
Allows comprehensive identification of RNF168-dependent ubiquitination sites
Can distinguish between different ubiquitin chain types (K63 vs. K48)
Applications: Identify the complete spectrum of RNF168 substrates beyond H2A/H2AX
Methodological consideration: Combine with RNF168 antibody-based immunoprecipitation to enrich for RNF168-associated substrates
ChIP-sequencing with RNF168 antibodies:
Maps genome-wide distribution of RNF168 before and after DNA damage
Applications: Identify preferential binding sites and chromatin context dependencies
Methodological advances: CUT&RUN or CUT&Tag provides higher resolution than traditional ChIP-seq
Chromatin accessibility assays:
ATAC-seq or DNase-seq to assess how RNF168 activity affects chromatin structure
Applications: Understand how RNF168-mediated ubiquitination influences chromatin compaction
Methodological approach: Compare accessibility profiles in wild-type vs. RNF168-deficient cells
Super-resolution microscopy:
Techniques like STORM, PALM, or live-cell SIM provide nanoscale resolution
Applications: Visualize RNF168 recruitment dynamics at individual DSB sites
Methodological consideration: Requires highly specific antibodies or fluorescently tagged proteins
In vitro reconstitution systems:
Purified components to recapitulate RNF168-mediated chromatin modification
Applications: Biochemical dissection of RNF168 substrate specificity and activity
Methodological advantage: Allows precise control of reaction components and conditions
When implementing these advanced approaches, researchers should validate findings using multiple complementary methods and carefully consider the limitations of each technique, particularly regarding antibody specificity and potential artifacts from protein tags or expression levels.