The si:ch211-248e11.2 gene (Ensembl ID: ENSDARG00000058940) produces the Fleer protein, which regulates cilia motility and structure by modulating tubulin polyglutamylation. Key features include:
The si:ch211-248e11.2 antibody has been utilized in immunofluorescence and confocal microscopy to study cilia dynamics. Key findings include:
Cilia Defects: Morpholino knockdown of si:ch211-248e11.2 in zebrafish embryos resulted in shortened cilia and reduced tubulin polyglutamylation, mimicking the flr mutant phenotype .
Axonemal Staining: The antibody revealed that polyglutamylated tubulin levels are significantly reduced in si:ch211-248e11.2 mutants, particularly in multiciliated cells .
| Parameter | Wild-Type | si:ch211-248e11.2 Mutant |
|---|---|---|
| Cilia Length (2.5 dpf) | ~5 µm | ~2 µm |
| Polyglutamylation Signal | Strong basal body | Absent in axonemes |
| Acetylated Tubulin | Uniform distribution | Retained, but fragmented |
A nonsense allele (sa10375) of si:ch211-248e11.2 has been characterized:
| Allele | Mutation | Consequence | Exon Affected |
|---|---|---|---|
| sa10375 | A > T | Premature stop codon (Q114*) | Exon 3/3 |
This mutation truncates the Fleer protein at residue 114 of 137, eliminating critical tetratricopeptide repeat (TPR) domains required for cilia function .
Si:ch211-248e11.2 belongs to a class of zebrafish genes identified through genome sequencing projects, where the "si:ch" prefix denotes genes discovered during systematic chromosome mapping initiatives. This naming convention is common in zebrafish genetics for genes awaiting full functional characterization. Similar to other si:ch-prefixed genes (such as si:ch211-248e11.3, which is orthologous to human formin-binding protein 1), si:ch211-248e11.2 likely has structural or functional importance in zebrafish development . The antibody against this target provides researchers with a valuable tool for studying protein localization, expression patterns, and functional analyses in zebrafish models.
The antibody is primarily used for:
Immunohistochemistry (IHC) to visualize protein expression patterns in tissue sections
Immunofluorescence (IF) for subcellular localization studies
Western blotting for protein expression quantification
Immunoprecipitation (IP) for protein-protein interaction studies
Chromatin immunoprecipitation (ChIP) if the protein has DNA-binding properties
These applications allow researchers to characterize the spatial and temporal expression patterns of the protein during zebrafish development, similar to the approaches taken with other zebrafish proteins like those in the intermediate filament family .
Proper validation should include:
Western blot analysis showing a band of expected molecular weight
Positive and negative control tissues based on known expression patterns
Peptide competition assays to confirm specificity
Testing in knockout or knockdown models (if available)
Cross-reactivity assessment with closely related proteins
For zebrafish-specific antibodies, validation using CRISPR/Cas9 knockout models has become increasingly important, as demonstrated with other zebrafish proteins. This approach helps confirm antibody specificity, especially given the genome duplication events in teleost fish that can create paralogs with high sequence similarity .
Optimal fixation depends on the cellular localization of si:ch211-248e11.2. Based on similar intermediate filament proteins in zebrafish:
| Fixation Method | Duration | Temperature | Best For | Notes |
|---|---|---|---|---|
| 4% PFA | 2-4 hours | 4°C | General tissue preservation | Maintains most epitopes |
| Methanol | Overnight | -20°C | Membrane proteins | May improve nuclear protein detection |
| Dent's fixative | 2 hours | Room temp | Deep tissue penetration | Good for whole-mount embryos |
| 2% TCA | 30 min | 4°C | Cytoskeletal proteins | Preserves intermediate filaments |
If si:ch211-248e11.2 is predicted to localize to intermediate filaments like other similar proteins, TCA fixation may preserve epitopes better than PFA alone . For dual immunostaining with other markers, fixation protocols should be optimized to maintain epitope accessibility for both antibodies.
Non-specific binding can be addressed through:
Increased blocking time: Extend from standard 1 hour to 3-4 hours using 5-10% normal serum
Alternative blocking agents: Try fish gelatin (2-5%) instead of BSA for zebrafish tissues
Antibody pre-adsorption: Incubate antibody with zebrafish tissue powder from unrelated tissues
Titration optimization: Test dilution series (1:100 to 1:2000) to find optimal signal-to-noise ratio
Detergent modification: Adjust Triton X-100 concentration (0.1-0.5%) to improve accessibility while maintaining tissue integrity
For zebrafish-specific proteins like si:ch211-248e11.2, batch-to-batch variability in antibodies can significantly impact specificity. Maintaining consistent validation protocols for each new lot is crucial for reproducible results .
Effective immunoprecipitation typically requires:
Lysis buffer optimization:
For cytoskeletal proteins: RIPA buffer with 1% NP-40, 0.5% sodium deoxycholate
For membrane-associated proteins: Buffer with 1% digitonin or 1% Triton X-100
Include phosphatase inhibitors if studying phosphorylation states
Cross-linking considerations:
Use DSP (dithiobis[succinimidyl propionate]) for transient interactions
Formaldehyde (0.1-1%) for DNA-protein complexes if applicable
Antibody coupling method:
Direct coupling to magnetic beads improves signal-to-noise ratio
Use of protein A/G beads may introduce heavy chain interference in subsequent blotting
The approach should be tailored based on the predicted subcellular localization of si:ch211-248e11.2, similar to approaches used for other zebrafish proteins with intermediate filament domains .
Optimization should address:
| Parameter | Recommendation | Rationale |
|---|---|---|
| Protein extraction | RIPA buffer with protease inhibitors | Balances protein solubilization with epitope preservation |
| Sample preparation | 65°C for 10 minutes instead of boiling | Prevents aggregation of intermediate filament proteins |
| Gel percentage | 10-12% for proteins 30-80 kDa | Provides optimal separation |
| Transfer conditions | Wet transfer, 30V overnight at 4°C | Ensures complete transfer of structured proteins |
| Blocking solution | 5% non-fat dry milk in TBST | Reduces background without affecting antibody binding |
| Primary antibody incubation | 1:500 dilution, overnight at 4°C | Balances signal strength with specificity |
| Detection method | ECL+ or fluorescent secondary antibodies | Provides quantifiable results with low background |
If working with embryonic tissues, developmental stage-specific optimization may be necessary, as protein expression levels can vary dramatically across developmental timepoints .
Essential controls include:
Negative controls:
Secondary antibody only (to detect non-specific binding)
Pre-immune serum (if available)
CRISPR/Cas9 knockout or morpholino knockdown tissue
Competing peptide block
Positive controls:
Tissues with known expression based on in situ hybridization data
Overexpression systems (mRNA injection or transgenic lines)
Specificity controls:
Co-staining with mRNA probes in fluorescent in situ hybridization
Comparison with GFP-tagged fusion protein localization
Technical controls:
Autofluorescence assessment (particularly in yolk and pigmented cells)
Co-staining with established markers (e.g., DAPI for nuclei)
Similar to approaches used for cd79a (formerly si:ch211-64k10.2), validation in multiple tissue contexts is essential to confirm antibody specificity across different cellular environments .
RNA-seq data can provide:
Expression validation: Confirm protein detection corresponds with mRNA expression patterns
Developmental timeline: Map temporal expression changes to inform optimal sampling timepoints
Splice variant identification: Detect potential isoforms that may react differently with antibodies
Comparative expression analysis: Identify co-expressed genes for pathway analysis
Knockdown validation: Confirm efficacy of genetic manipulations at the transcript level
Integrating RNA-seq with antibody-based detection creates a more comprehensive understanding of gene function. For zebrafish genes like si:ch211-248e11.2, RNA-seq can reveal tissue-specific expression patterns that guide more targeted antibody-based studies .
CRISPR/Cas9 validation involves:
Design of guide RNAs targeting early exons to create frameshift mutations
Generation of F0 mosaic embryos for preliminary antibody testing
Establishment of stable knockout lines with confirmed mutations
Western blot analysis comparing wild-type and knockout samples
Immunohistochemistry comparison between wild-type and knockout tissues
Quantitative assessment of signal reduction in knockout samples
This approach has been successfully used for validating antibodies against other zebrafish proteins. For genes like si:ch211-248e11.3, which has two available nonsense alleles (sa21213 and sa34330), similar resources may be available for si:ch211-248e11.2 through the Zebrafish Mutation Project .
Key considerations include:
Antibody compatibility: Ensure primary antibodies are raised in different host species
Sequential staining protocols: Consider implementing for antibodies from the same species
Spectral overlap management: Select fluorophores with minimal bleed-through
Fixation compromise: Choose fixation that preserves all target epitopes
Antigen retrieval optimization: Balance conditions for multiple targets
Order of antibody application: Test different sequences to maximize signal quality
When combining with common zebrafish markers, start with established protocols for those markers and adapt conditions for si:ch211-248e11.2 antibody. Similar to strategies used for other zebrafish intermediate filament proteins, careful titration of each antibody in the multiplex panel is essential for optimal results .
Cross-species applicability depends on:
Sequence conservation: Homology between target epitopes across species
Validation evidence: Published cross-reactivity data from antibody manufacturers
Immunogen design: Antibodies raised against conserved domains have higher cross-reactivity potential
Application-specific testing: Cross-reactivity may vary between Western blot and immunohistochemistry
For zebrafish-specific proteins like si:ch211-248e11.2, cross-reactivity with mammalian orthologs should be experimentally verified. If si:ch211-248e11.2 has human orthologs similar to si:ch211-248e11.3 (which is orthologous to human FNBP1), sequence alignment of the immunogen region with the human counterpart can predict potential cross-reactivity .
Appropriate quantification methods include:
| Method | Application | Parameters |
|---|---|---|
| Mean fluorescence intensity | Expression level comparison | Background-subtracted intensity within defined ROIs |
| Colocalization coefficient | Protein interaction studies | Pearson's or Mander's coefficient with reference marker |
| Cell counting | Expression in specific populations | Percent positive cells in defined tissue regions |
| Subcellular distribution | Localization studies | Nuclear/cytoplasmic ratio or membrane intensity |
| 3D rendering | Whole-mount embryo analysis | Volume-based quantification of expression domains |
For developmental studies, stage-matched controls are essential, as baseline expression can vary significantly across developmental timepoints. Statistical analysis should account for inter-embryo variability, typically requiring 15-20 embryos per condition across 3+ independent experiments .
When facing discrepancies:
Verify temporal dynamics: Protein expression may lag behind mRNA expression
Consider post-transcriptional regulation: miRNAs may suppress translation despite high mRNA levels
Examine protein stability: Long protein half-life may persist despite decreased transcription
Check antibody specificity: Confirm antibody detects all relevant isoforms
Assess detection sensitivity: RNA detection methods may be more sensitive than antibody-based methods
Evaluate spatial resolution: Whole-tissue RNA extraction may mask cell-type-specific differences
For zebrafish proteins, differences between transcript and protein abundance are commonly observed during rapid developmental transitions. Integrating multiple detection methods provides the most comprehensive understanding of gene expression dynamics .
Useful bioinformatic resources include:
STRING database: Predicts functional protein associations based on genomic context
ZFIN expression database: Identifies co-expressed genes in zebrafish
Protein domain analysis tools: Predicts interaction motifs based on conserved domains
Ortholog interaction maps: Leverages known interactions of mammalian orthologs
BioGRID: Curates protein and genetic interactions from published experimental data
Domain analysis of si:ch211-248e11.2 may reveal structural similarities to better-characterized proteins, such as intermediate filament family members or formin-binding proteins, providing hypotheses for potential interaction partners to test in co-immunoprecipitation experiments .