KEGG: dre:570302
STRING: 7955.ENSDARP00000122187
For optimal stability and activity of recombinant Danio rerio TMEM71:
Store at -20°C for regular use
For extended storage, maintain at -80°C
Avoid repeated freeze-thaw cycles which can lead to protein degradation
Working aliquots may be stored at 4°C for up to one week
The protein is typically supplied in a Tris-based buffer containing 50% glycerol, specifically optimized for TMEM71 stability
Several database resources provide valuable information for TMEM71 research:
ZFIN (Zebrafish Information Network): The central repository for zebrafish genetic, genomic, and developmental data. ZFIN provides:
Alliance of Genome Resources: Integrates ZFIN data with other model organism databases, providing:
UniProt: Contains protein sequence and annotation data (UniProt accession: B0S728)
Detection methods include:
RNA expression analysis:
RT-PCR for targeted detection
RNA-Seq or microarray for genome-wide expression profiling
In situ hybridization for spatial expression patterns during development
Protein detection:
Perturb-seq combines CRISPR-based perturbations with single-cell RNA sequencing to comprehensively characterize gene function. For TMEM71 studies:
Design phase:
Generate CRISPR guide RNAs targeting TMEM71
Consider the IterPert approach for selecting optimal perturbations
Sequential experimental design:
Analysis considerations:
This sequential approach is particularly valuable for TMEM71 as it allows researchers to explore both the direct effects of TMEM71 perturbation and its interaction with other genes, while minimizing the number of experiments required.
Based on studies primarily in human systems, TMEM71 shows significant associations with several key signaling pathways:
| Signaling Pathway | Relationship with TMEM71 | Research Applications |
|---|---|---|
| PI3K-AKT | Positive correlation | Inhibitor studies, phosphorylation assays |
| JAK-STAT | Positive correlation | Cytokine response assays, STAT phosphorylation |
| Wnt | Negative correlation | TOPFlash reporter assays, β-catenin localization |
| cAMP | Negative correlation | cAMP level measurements, PKA activity assays |
Pharmacological studies: Treat zebrafish embryos with pathway-specific inhibitors (e.g., PI3K inhibitors) and analyze effects on TMEM71 expression or TMEM71-related phenotypes
Genetic interaction studies: Generate double mutants of TMEM71 and key components of these signaling pathways
Reporter assays: Use transgenic zebrafish lines with pathway-specific reporters to visualize pathway activity in TMEM71 mutant backgrounds
Biochemical analyses: Assess phosphorylation states of key pathway components in wild-type versus TMEM71-deficient zebrafish
Research on human TMEM71 indicates significant immunological associations that could be explored in zebrafish models:
Immune checkpoint correlations:
Inflammatory activities:
Functional implications:
Analyze immune cell populations in TMEM71-deficient zebrafish larvae
Challenge with pathogens to assess immune response efficacy
Perform transcriptome analysis focusing on immune-related genes
Use fluorescent reporter lines marking immune cell populations to track cellular responses
To effectively visualize and analyze TMEM71 localization:
Transgenic fluorescent reporter systems:
Live imaging protocol:
Colocalization studies:
Combine TMEM71 visualization with markers for specific subcellular compartments
Use double transgenic lines expressing different fluorescent markers
Apply quantitative colocalization analysis techniques
High-resolution approaches:
Super-resolution microscopy for nanoscale localization
Electron microscopy with immunogold labeling for ultrastructural localization
Guide RNA design considerations:
Target early exons to maximize functional disruption
Use zebrafish-specific design tools to minimize off-target effects
Consider multiple guides targeting different regions to address potential compensation
Delivery protocol:
Microinject CRISPR/Cas9 components at one-cell stage embryos
Typical mixture: 300 ng/μL Cas9 mRNA and 25 ng/μL sgRNA
Validation strategies:
T7 endonuclease assay or direct sequencing to confirm mutations
RT-PCR and Western blotting to verify reduced expression
Phenotypic analysis based on predicted TMEM71 function
Advanced applications:
Clinical research has indicated that TMEM71 expression is associated with survival outcomes in human glioma patients, with a hazard ratio (HR) of 7.035 (95% CI: 1.571-31.494) in univariate analysis and 18.43 (95% CI: 2.463-138.02) in multivariate analysis .
| Variables | Univariate analysis | Multivariate analysis | ||
|---|---|---|---|---|
| HR (95% CI) | P value | HR (95% CI) | P value | |
| TMEM71 expression | 7.035 (1.571-31.494) | 0.011 | 18.43 (2.463-138.02) | 0.005 |
| MGMT methylation | 0.564 (0.364-0.872) | 0.01 | 0.921 (0.506-1.673) | 0.786 |
| Radiotherapy | 0.412 (0.259-0.654) | <0.001 | 0.498 (0.274-0.907) | 0.023 |
Genetic models:
Generate TMEM71 knockout or overexpression models
Create precise mutations that mimic human disease variants
Assess pathological phenotypes and compare to human disease manifestations
Functional assessment:
Perform behavioral assays if neurological functions are affected
Analyze histological changes in relevant tissues
Measure pathway activities associated with disease progression
Drug screening applications:
Translational applications:
A comprehensive antibody validation strategy includes:
Specificity testing:
Western blot analysis using wild-type and TMEM71 knockout/knockdown tissues
Preabsorption with immunizing peptide to confirm specificity
Mass spectrometry verification of immunoprecipitated proteins
Technical validation:
Test different fixation and antigen retrieval methods for immunohistochemistry
Validate across multiple applications (Western blot, IHC, IP)
Compare results from multiple antibodies targeting different epitopes
Biological validation:
Compare antibody staining patterns with mRNA expression data
Use transgenic lines expressing tagged TMEM71 as positive controls
Verify subcellular localization is consistent with predicted transmembrane topology
Documentation and transparency:
To resolve contradictory findings in TMEM71 research:
Systematic approach to experimental design:
Multi-level validation:
Test hypotheses across multiple model systems (cell lines, zebrafish, mouse)
Compare results from different perturbation approaches (CRISPR knockout, morpholino knockdown, overexpression)
Validate with complementary techniques (transcriptomics, proteomics, functional assays)
Contextual analysis:
Consider developmental stage-specific effects
Analyze tissue-specific or cell type-specific functions
Examine genetic background influences
Data integration:
Designing effective expression systems for transmembrane proteins like TMEM71 requires special considerations:
Expression system selection:
Mammalian cells: Provide proper folding and post-translational modifications
Insect cells: Balance between mammalian-like processing and higher yield
Bacterial systems: Higher yield but may require refolding for proper structure
Vector design considerations:
Include appropriate purification tags (His, GST, FLAG)
Consider fusion partners to improve solubility
Include protease cleavage sites for tag removal
Optimize codon usage for the expression system
Membrane protein-specific strategies:
Consider detergent screening for optimal solubilization
Test nanodiscs or liposomes for functional reconstitution
Evaluate truncation constructs to identify stable domains
Quality control metrics:
Single-cell RNA sequencing offers powerful approaches to understand TMEM71 biology:
Cell type-specific expression analysis:
Identify cell populations that express TMEM71 at different developmental stages
Correlate with cell type-specific markers to define expression patterns
Map temporal dynamics of expression during development
Perturbation analysis:
Regulatory network inference:
Identify genes co-regulated with TMEM71
Map upstream regulators and downstream targets
Build gene regulatory networks centered on TMEM71
Clinical applications:
Compare expression patterns in disease models
Identify cell populations with altered TMEM71 expression in pathological states
Discover potential therapeutic targets in TMEM71-related pathways
Based on human TMEM71 associations with disease processes, zebrafish models offer opportunities to investigate:
Oncology applications:
Immunological disease modeling:
Developmental disorder investigation:
Study potential roles in neural development based on signaling pathway associations
Investigate phenotypes resulting from TMEM71 dysfunction during embryogenesis
Compare to human developmental disorders with similar genetic profiles
Translational research pipeline:
Generate humanized zebrafish models expressing human TMEM71 variants
Use for high-throughput screening of therapeutic candidates
Validate findings in higher vertebrate models before clinical translation