Acetyl-KRT8 (K483) Antibody is a rabbit polyclonal antibody that specifically detects Keratin 8 (KRT8) protein when acetylated at lysine 483. The antibody is primarily used for Western Blot (WB) and ELISA applications in research settings .
The antibody is designed to recognize a specific post-translational modification of KRT8, which is important for studying how acetylation affects KRT8 function in various cellular processes. Typical research applications include:
Western blotting (WB): Used at dilutions of 1:500-1:2000
ELISA: Used at dilutions up to 1:20000
Immunohistochemistry (IHC): Used in some research applications
It's important to note that this antibody specifically recognizes the acetylated form at K483, not the total KRT8 protein, making it valuable for studying this specific post-translational modification .
When optimizing Western Blot protocols for Acetyl-KRT8 (K483) Antibody, researchers should consider the following methodological approach:
Sample preparation:
Use appropriate cell lines known to express KRT8 (e.g., A549, HeLa, MCF-7)
Consider treatments that may affect acetylation status, such as histone deacetylase inhibitors
Protocol optimization:
Controls to include:
Detection optimization:
Western blots using this antibody have successfully detected endogenous levels of Acetyl-KRT8 (K483) in various cell lines, with optimal results often requiring careful optimization of blocking conditions and antibody concentrations .
Studying KRT8 acetylation in mitochondrial dynamics requires a multi-faceted experimental approach:
Baseline assessment of acetylation status:
Induction of mitochondrial stress:
Mitochondrial function assessment:
Mitochondrial morphology analysis:
Research has shown that KRT8 facilitates mitochondrial fission and protects against necrotic cell death under oxidative stress conditions . When monitoring mitochondrial fission, KRT8 has been observed at fission sites, suggesting a direct role in this process. Studies have demonstrated that KRT8 overexpression leads to extensive mitochondrial fragmentation under oxidative stress, while KRT8 knockdown results in enlarged, swollen mitochondria with disrupted cristae .
When investigating KRT8 acetylation in autophagy research, researchers should implement the following controls:
Essential controls for acetylation status:
Positive acetylation control: Cells treated with deacetylase inhibitors (e.g., trichostatin A)
Negative acetylation control: Cells expressing K483R mutant KRT8 (acetylation-deficient)
Acetylation comparison: Use both Acetyl-KRT8 (K483) and pan-KRT8 antibodies on parallel samples
Autophagy pathway controls:
Autophagy induction control: Cells under starvation conditions (EBSS medium)
Autophagy inhibition controls:
Early inhibition: 3-methyladenine (3-MA) treatment
Late inhibition: Bafilomycin A1 or Chloroquine
Autophagy flux markers: LC3-II and SQSTM1/p62 levels
KRT8 manipulation controls:
KRT8 knockdown: siRNA targeting KRT8
KRT8 overexpression: Wild-type KRT8 expression
Non-targeting siRNA or empty vector controls
Microscopy controls for co-localization studies:
Single-stained controls for each fluorophore
Secondary antibody-only controls
Co-localization with established autophagy markers (LC3B, LAMP1/2)
Research has shown that KRT8 expression is enhanced concomitantly with autophagy progression, as indicated by SQSTM1 degradation and LC3B conversion under oxidative stress conditions . When cells were treated with autophagy inhibitor 3-MA, a decrease in KRT8 expression was observed. Furthermore, KRT8 knockdown experiments resulted in decreased LC3B-II/I ratio and increased SQSTM1 accumulation, suggesting impaired autophagy . Electron microscopy studies also revealed that KRT8 facilitates autophagosome clearance by enhancing fusion between autophagosomes and lysosomes .
The Acetyl-KRT8 (K483) Antibody can be strategically employed to investigate the Krt8+ transitional stem cell state through the following methodological approaches:
Temporal profiling of KRT8 acetylation during regeneration:
Collect lung tissue samples at multiple timepoints following injury (days 2, 7, 10, 14, 21, 36, 54 post-injury have been established as informative timepoints)
Process for Western blot analysis using Acetyl-KRT8 (K483) Antibody (1:500-1:2000) and total KRT8 antibody
Quantify the ratio of acetylated to total KRT8 at each timepoint
Single-cell analysis correlation:
Perform single-cell RNA-seq on EpCam+ sorted cells from injured lungs
Correlate KRT8 gene expression with acetylation status using flow cytometry or imaging mass cytometry
Identify gene signatures associated with differential KRT8 acetylation
Lineage tracing combined with acetylation status:
Implement genetic lineage tracing (e.g., SftpcCreERT2 or ScgbCreERT2)
Perform immunofluorescence co-staining with Acetyl-KRT8 (K483) Antibody
Track acetylation status during transition from alveolar/airway stem cells to Krt8+ state
Pathway analysis in relation to acetylation:
Assess correlation between acetylation status and activation of key pathways:
p53 pathway
NFkB signaling
Cellular senescence markers
EMT-related gene expression
Research has demonstrated that Krt8+ alveolar differentiation intermediate (ADI) cells represent a unique regenerative cell state that appears during lung injury and repair. These cells show high expression of Krt8 with peak expression around days 10-14 post-injury . They exhibit squamous morphology, display transcriptional features of cellular senescence, and show activation of p53 and NFkB pathways . Importantly, these Krt8+ cells form a distinct communication network with mesenchyme and macrophages during repair, creating specific receptor-ligand pairs, such as expressing endothelin-1 (Edn1) that binds to endothelin-receptor (Ednrb) on capillary endothelial cells .
When faced with contradictory data regarding KRT8 post-translational modifications, researchers should implement the following methodological approaches:
Sequential immunoprecipitation strategy:
First IP: Use Acetyl-KRT8 (K483) Antibody to isolate acetylated KRT8
Western blot analysis: Probe with phospho-specific KRT8 antibodies
Reverse approach: IP with phospho-specific antibodies, then detect with Acetyl-KRT8 (K483)
Quantify relative abundance of singly-modified versus doubly-modified KRT8
Mass spectrometry-based validation:
Perform IP with either Acetyl-KRT8 (K483) or total KRT8 antibodies
Conduct LC-MS/MS analysis to identify all post-translational modifications
Quantify stoichiometry of different modifications
Map temporal dynamics of modifications under stress conditions
Site-directed mutagenesis experiments:
Generate KRT8 mutants: K483R (acetylation-deficient) and relevant phosphorylation site mutants
Express in KRT8-knockout cells and analyze phenotypes
Assess how one modification affects the occurrence of others
Evaluate functional consequences of each modification
Time-course analysis of modifications:
Subject cells to oxidative stress (e.g., paraquat treatment)
Collect samples at multiple timepoints (0, 1, 3, 6, 12, 24, 36, 48 hours)
Quantify acetylation and phosphorylation levels at each timepoint
Determine the sequence of modification events
Research has shown that under oxidative stress, both KRT8 and its phosphorylated form (p-KRT8) are enhanced in a manner dependent on stress intensity and duration . Interestingly, when cells were treated with paraquat (400 μM) for 24 hours, expression of both KRT8 and its phosphorylated form was enhanced without altering the p-KRT8:total KRT8 ratio . Additional studies have suggested that the association between PLEC-anchoring mitochondria and KRT8 was diminished by KRT8 phosphorylation under oxidative stress , indicating a potential regulatory relationship between different post-translational modifications.
Interpreting KRT8 acetylation changes in mitochondrial dysfunction studies requires systematic analytical approaches:
Quantitative analysis framework:
Calculate the ratio of acetylated KRT8 to total KRT8 across conditions
Normalize to appropriate housekeeping proteins
Perform statistical analysis (e.g., ANOVA with post-hoc tests) to determine significance
Consider using the following interpretation framework:
| Acetyl-KRT8:Total KRT8 Ratio | Mitochondrial Morphology | Mitochondrial Function | Interpretation |
|---|---|---|---|
| Increased | Fragmented | Maintained OCR | Protective response |
| Increased | Swollen | Decreased OCR | Failed protective response |
| Decreased | Swollen | Severely decreased OCR | Compromised mitophagy |
| No change | Elongated/Normal | Normal OCR | Homeostatic state |
Correlation with functional parameters:
Analyze relationship between acetylation levels and:
Oxygen consumption rate (OCR)
Mitochondrial membrane potential
ROS generation
Cell death (apoptosis vs. necrosis)
Use regression analysis to establish quantitative relationships
Context-dependent interpretation:
Cell type specificity: Different cell types may show different baseline and stress-induced acetylation patterns
Stress type specificity: Oxidative, ER, and metabolic stress may induce different patterns
Duration effects: Acute vs. chronic stress responses may differ significantly
Pathway integration analysis:
Consider KRT8 acetylation in relation to:
Mitochondrial dynamics proteins (MFF, DNM1L)
Autophagy/mitophagy markers
ER stress indicators (DDIT3, p-GCN1)
Calcium signaling
Research has demonstrated that KRT8 plays a critical role in protecting against mitochondrial dysfunction and cell death under oxidative stress. In KRT8-overexpressing cells, paraquat-induced mitochondrial ROS generation was significantly reduced compared to control cells . Furthermore, while control and KRT8-knockdown cells showed enlarged, swollen mitochondria with destroyed cristae under oxidative stress, KRT8-overexpressing cells exhibited extensive mitochondrial fragmentation . Functionally, oxygen consumption rate remained at approximately 90% in KRT8-overexpressing cells under oxidative stress, while it decreased to approximately 50% in control cells and even further in KRT8-knockdown cells .
Researchers should be vigilant about the following methodological pitfalls when studying post-translational modification crosstalk with Acetyl-KRT8 (K483) Antibody:
Epitope masking and antibody access issues:
Problem: Nearby modifications may affect antibody binding to the K483 acetylation site
Solution strategies:
Use alternative sample preparation methods (native vs. denaturing)
Compare results with mass spectrometry-based detection
Validate with complementary antibodies targeting different epitopes
Modification stability challenges:
Problem: Acetylation is dynamic and can be lost during sample processing
Solution strategies:
Include deacetylase inhibitors in all buffers (e.g., nicotinamide, trichostatin A)
Process samples rapidly and maintain cold temperatures
Consider using acetylation-mimicking mutants (e.g., K483Q) as controls
Quantification accuracy issues:
Problem: Western blot signals may not be linear across the entire dynamic range
Solution strategies:
Create standard curves with recombinant acetylated KRT8
Use multiple exposure times to ensure linearity
Consider alternative quantitative methods (ELISA, capillary Western)
Use appropriate statistical methods for non-linear data
Context-dependent modification patterns:
Problem: Acetylation patterns may vary with cell type, stress conditions, and time
Solution strategies:
Include comprehensive time-course experiments
Test multiple cell types relevant to research question
Validate findings in physiologically relevant models
Consider single-cell analysis techniques
To investigate KRT8 acetylation in cellular senescence and regenerative medicine contexts, researchers should employ the following methodological framework:
Senescence model characterization:
Establish senescence models using:
Replicative senescence (serial passaging)
Stress-induced senescence (H₂O₂, irradiation)
Oncogene-induced senescence (Ras, Raf)
Verify senescence markers (SA-β-gal, p16, p21, SASP factors)
Quantify acetylated KRT8 levels across models using Western blot (1:500-1:2000 dilution)
Multi-dimensional analysis of KRT8 in senescence:
Perform co-immunoprecipitation to identify acetylated KRT8 binding partners
Conduct immunofluorescence to assess subcellular localization changes during senescence
Use cell fractionation to quantify cytoskeletal vs. soluble acetylated KRT8
Implement ChIP-seq to identify potential impact on chromatin organization
Regenerative potential assessment:
In tissue regeneration models, track acetylated KRT8 in:
Stem/progenitor cells (using co-markers)
Transitional states (as identified in lung regeneration)
Terminally differentiated cells
Correlate acetylation status with regenerative capacity
Functional manipulation strategies:
Use CRISPR/Cas9 to generate K483R (non-acetylatable) and K483Q (acetylation-mimetic) mutations
Assess impact on:
Senescence markers
SASP secretion
Regenerative capacity
Cell-cell communication networks
Research has identified that Krt8+ transitional stem cells display transcriptional features of cellular senescence during regeneration following lung injury . These cells have squamous morphology and feature p53 and NFkB activation , which are pathways associated with senescence. Scoring single cells for enrichment of gene programs revealed that Krt8+ ADI cells displayed high scores for genes involved in cell senescence, and the p53, MYC, and TNFA via NFkB pathways . Statistical analysis confirmed the strong and specific enrichment of genes previously associated with wound healing, angiogenesis, and the p53 pathway in these cells . This suggests that KRT8 acetylation status may play a role in regulating the senescence-associated regenerative functions.
To establish causality between KRT8 acetylation and autophagic flux, researchers should implement these advanced experimental designs:
Site-specific acetylation manipulation:
Generate the following cell lines using CRISPR/Cas9:
KRT8-knockout cells
KRT8-K483R knock-in (acetylation-deficient)
KRT8-K483Q knock-in (acetylation-mimetic)
Reconstitute KRT8-knockout cells with:
Wild-type KRT8
K483R mutant
K483Q mutant
Assess baseline and stress-induced autophagic flux in each cell line
Temporal control of acetylation:
Implement inducible systems for temporal control:
Tet-inducible expression of KRT8 variants
Chemical-genetic approaches for rapid induction of acetylation/deacetylation
Monitor autophagic flux before, during, and after acetylation changes
Establish temporal relationship between acetylation and autophagy events
Disease model validation:
Test in multiple disease-relevant models:
Retinal degeneration models (related to RPE cells)
Lung injury models (bleomycin, hyperoxia)
Neurodegenerative disease models (where autophagy is implicated)
Assess acetylation status, autophagic markers, and disease progression
Apply acetylation-modifying interventions and evaluate outcomes
Mechanism dissection:
Identify acetylation/deacetylation enzymes for KRT8-K483:
Use pharmacological inhibitors
Apply genetic knockdown/knockout approaches
Conduct enzyme activity assays
Map the complete signaling pathway from stress stimulus to KRT8 acetylation to autophagy modulation
Identify potential feedback mechanisms
Research has demonstrated that KRT8 expression is enhanced concomitantly with autophagy progression under oxidative stress conditions, as indicated by SQSTM1 degradation and LC3B conversion . When cells were treated with the autophagy inhibitor 3-MA, there was a decrease in KRT8 expression. Furthermore, knockdown of ATG5, a protein required for autophagosome elongation, resulted in decreased expression of KRT8 and its phosphorylated form . Transmission electron microscopy revealed that KRT8-overexpressing cells treated with paraquat showed facilitated autolysosome formation, while KRT8 knockdown cells showed only the double membranous vacuole form of autophagosomes, indicating diminished autolysosome formation due to autophagosome blockage . These findings suggest that KRT8 facilitates autophagosome clearance by enhancing the fusion process between autophagosomes and lysosomes.
Rigorous validation of Acetyl-KRT8 (K483) Antibody specificity requires implementation of these methodological approaches:
Fundamental specificity controls:
Peptide competition assay:
Pre-incubate antibody with the immunizing peptide
Run in parallel with non-competed antibody
Specific signal should be abolished by peptide competition
Genetic validation:
Test antibody in KRT8 knockout/knockdown systems
Compare with wild-type cells
Test in cells expressing KRT8-K483R mutant
Post-translational modification specificity:
Deacetylation treatment:
Treat lysates with recombinant HDAC proteins
Compare signal before and after treatment
Multi-antibody validation:
Compare with different antibodies targeting the same modification
Use total KRT8 antibody to normalize
Acetylation induction:
Treat cells with deacetylase inhibitors to increase acetylation
Confirm signal increase with treatment
Application-specific validation:
For Western blotting:
Run defined gradient of recombinant acetylated and non-acetylated KRT8
Determine detection limit and linear range
Test different blocking agents to minimize background
For ELISA:
Generate standard curve with synthetic acetylated peptide
Test antibody at multiple dilutions (1:2000 to 1:20000)
Validate with samples of known acetylation status
Cross-reactivity assessment:
Test against closely related keratins:
Include other type II keratins (KRT1-7, KRT71-86)
Confirm specificity for KRT8 vs. other keratins
Evaluate acetylation at other lysine residues:
Test if antibody recognizes KRT8 acetylated at sites other than K483
Use synthesized peptides with acetylation at different positions
According to the product specifications, the Acetyl-KRT8 (K483) Antibody is affinity-purified from rabbit antiserum by affinity-chromatography using epitope-specific immunogen . It detects endogenous levels of Cytokeratin 8 protein only when acetylated at K483 . Western blot validation data from A549 cells demonstrates its specificity for the acetylated form . For optimal results, researchers should use the recommended dilutions: 1:500-1:2000 for Western blot and 1:20000 for ELISA applications .
Integrating multi-omics with Acetyl-KRT8 (K483) Antibody-based assays requires sophisticated methodological integration:
Antibody-based enrichment for multi-omics:
IP-MS approach:
Immunoprecipitate with Acetyl-KRT8 (K483) Antibody
Perform mass spectrometry to identify interacting partners
Conduct pathway analysis of the interactome
ChIP-seq integration:
Perform ChIP-seq using Acetyl-KRT8 (K483) Antibody
Identify potential chromatin associations
Correlate with transcriptional changes
Single-cell multi-modal analysis:
Cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq):
Use Acetyl-KRT8 (K483) Antibody conjugated to oligonucleotides
Simultaneously measure KRT8 acetylation and transcriptome
Identify cell states associated with KRT8 acetylation
Spatial transcriptomics with immunofluorescence:
Combine spatial transcriptomics with Acetyl-KRT8 (K483) immunostaining
Map acetylation patterns to spatial gene expression domains
Identify spatial niches with specific acetylation patterns
Longitudinal multi-omics:
Time-series experimental design:
Collect samples at multiple timepoints following stimulus
Perform antibody-based acetylation quantification
Parallel transcriptomics, proteomics, and metabolomics
Establish temporal relationships between acetylation and other molecular changes
Integrative computational analysis:
Multi-level data integration:
Correlate KRT8 acetylation levels with:
Transcriptomics data (RNA-seq)
Proteomics profiles (phosphorylation, other PTMs)
Metabolomics data (especially mitochondrial metabolites)
Apply machine learning for pattern recognition
Develop predictive models of KRT8 acetylation function