"TPS" commonly refers to Tumor Proportion Score, a metric used to evaluate PD-L1 expression in cancer immunotherapy (e.g., in non-small cell lung cancer) .
The number "27" may stem from unrelated contexts, such as:
*ACS: Acute Coronary Syndrome
For PD-L1 diagnostics (e.g., clones 22C3, SP142, SP263), TPS (Tumor Proportion Score) is calculated as:
| PD-L1 Clone | Approved Use (Cancer Type) | Scoring Threshold |
|---|---|---|
| 22C3 | NSCLC, HNSCC, gastric cancer | TPS ≥1% |
| SP142 | Triple-negative breast cancer | IC ≥1% |
| SP263 | NSCLC, urothelial carcinoma | CPS ≥10 |
Typographical Error: "TPS27" may be a misreference to SC27 (COVID-19 antibody) or TU27 (IL-2 receptor antibody).
Conceptual Overlap: "TPS" is a scoring system, not an antibody. For example, PD-L1 TPS values guide pembrolizumab use .
Hypothetical Construct: If "TPS27" refers to a novel antibody targeting tumor cells via TPS-linked pathways, no existing studies validate this.
TPS27 antibody is a rabbit polyclonal antibody that specifically recognizes the TPS27 protein in plants, particularly Arabidopsis thaliana. This antibody targets the terpene synthase-like sequence-1, 8-cineole (TPS-CIN), which is involved in plant secondary metabolism . The antibody is generated using recombinant Arabidopsis thaliana TPS27 protein as the immunogen, ensuring specificity for plant research applications .
The TPS27 antibody has been validated for several research applications including:
Enzyme Immunoassay (EIA)
General Immunoassay protocols
Enzyme-Linked Immunosorbent Assay (ELISA)
This versatility makes it suitable for both protein quantification and qualitative detection experiments in plant biology research.
For optimal antibody performance and longevity, the TPS27 antibody should be stored at -20°C or -80°C upon receipt. It's crucial to avoid repeated freeze-thaw cycles as these can degrade antibody quality and reduce binding efficiency . For researchers planning extensive experimental series, aliquoting the antibody upon receipt is recommended to minimize freeze-thaw cycles.
Determining optimal antibody dilution requires systematic titration experiments:
Begin with a broad dilution range (e.g., 1:500, 1:1000, 1:2000, 1:5000) in your application of choice
Run parallel experiments with positive controls (known TPS27-expressing samples) and negative controls
Evaluate signal-to-noise ratio at each dilution
Select the dilution that provides maximum specific signal with minimal background
Fine-tune with narrower dilution ranges around the identified optimum
Remember that optimal dilutions may vary between applications – a dilution that works for Western blot may not be optimal for ELISA.
While specific blocking optimization data for TPS27 antibody is not detailed in the available literature, plant antibody research typically benefits from:
5% non-fat dry milk in TBS-T (standard starting point)
3-5% BSA in TBS-T (alternate for phospho-specific targets)
Commercial plant-optimized blocking buffers (for samples with high background)
Test multiple blocking agents in parallel when establishing your protocol, as the optimal agent may depend on your specific plant tissue and extraction method.
Comprehensive antibody validation should include:
Positive controls: Use recombinant Arabidopsis thaliana TPS27 protein or known TPS27-expressing tissue
Negative controls: Include samples from:
TPS27 knockout mutants
Non-plant tissues
Pre-immune serum controls
Peptide competition assay: Pre-incubate the antibody with excess immunogenic peptide to demonstrate signal reduction
Molecular weight verification: Confirm that detected bands match the expected molecular weight of TPS27
Multiple detection methods: Validate across different applications (e.g., if positive in Western blot, confirm with ELISA)
Effective TPS27 protein extraction requires preserving protein integrity while maximizing yield:
Extraction buffer composition:
50 mM Tris-HCl (pH 7.5)
150 mM NaCl
1% Triton X-100 (or alternative non-ionic detergent)
0.5% sodium deoxycholate
Protease inhibitor cocktail optimized for plants
Critical extraction steps:
Maintain cold conditions throughout (4°C)
Use mechanical disruption (e.g., bead-beating) for complete tissue homogenization
Centrifuge at high speed (≥14,000×g) to remove debris
Consider ultrafiltration for sample concentration if TPS27 expression is low
Tissue-specific considerations:
Young tissues typically yield better results than senescent tissues
Consider developmental timing as terpene synthase expression varies throughout plant development
If experiencing weak or no signal when using TPS27 antibody:
Sample preparation issues:
Increase protein concentration
Verify protein transfer efficiency with reversible stains
Try gentler extraction methods to preserve epitope integrity
Detection optimization:
Increase antibody concentration (use less dilute solution)
Extend primary antibody incubation (overnight at 4°C)
Switch to more sensitive detection systems (ECL Plus vs. standard ECL)
Try longer exposure times
Expression factors:
Verify TPS27 expression in your specific tissue/conditions (check transcriptomic data)
Consider induction treatments (e.g., jasmonic acid) to upregulate terpene synthesis
Harvest tissue at developmental stages known for higher TPS27 expression
The TPS gene family has many members with structural similarities. To improve specificity:
Stringent washing conditions:
Increase salt concentration in wash buffers (up to 500 mM NaCl)
Add low concentrations of SDS (0.1%) to wash buffers
Extend washing duration and increase washing steps
Antibody pre-absorption:
Incubate antibody with protein extracts from tissues expressing other TPS family members but not TPS27
Filter this solution and use the pre-absorbed antibody for your experiments
Alternative detection approaches:
Consider epitope-tagged recombinant TPS27 expression for unambiguous detection
Combine with mass spectrometry for definitive identification
While specific comparative data for TPS27 antibodies is not detailed in the search results, general principles apply:
| Parameter | Polyclonal TPS27 Antibody | Monoclonal TPS27 Antibody |
|---|---|---|
| Epitope recognition | Multiple epitopes (higher sensitivity) | Single epitope (higher specificity) |
| Batch-to-batch variation | Moderate to high | Low |
| Cost | Generally lower | Generally higher |
| Stability | Moderate | High |
| Applications | Broader range (ELISA, WB, IHC) | May be optimized for specific applications |
| Cross-reactivity with related proteins | Potentially higher | Typically lower |
Select based on your experimental priorities: polyclonals offer broader epitope recognition while monoclonals provide consistent reproducibility.
When extending TPS27 antibody use beyond Arabidopsis:
Sequence homology assessment:
Perform sequence alignment of TPS27 between Arabidopsis and your target species
70% identity in immunogenic regions suggests potential cross-reactivity
Validation experiments:
Always include Arabidopsis samples as positive controls
Run Western blots with both species to compare band patterns
Consider epitope mapping if working extensively with non-Arabidopsis species
Dilution and protocol adaptation:
Start with more concentrated antibody solutions (2-3× more concentrated)
Optimize incubation conditions specifically for the new species
Consider species-specific protein extraction protocols to preserve epitopes
TPS27 (TPS-CIN) is involved in terpene production relevant to plant defense. Research applications include:
Stress response studies:
Track TPS27 protein levels following biotic stressors (herbivory, pathogen infection)
Compare TPS27 protein abundance across resistant vs. susceptible plant varieties
Correlate protein levels with volatile terpene emissions
Spatio-temporal analysis:
Use immunohistochemistry to localize TPS27 in different tissues
Couple with GC-MS analysis of monoterpenes to correlate protein levels with enzymatic output
Study developmental regulation of defense compound production
Signal transduction investigation:
Monitor TPS27 protein levels following application of defense hormones (jasmonic acid, salicylic acid)
Compare with transcriptional analysis to identify post-transcriptional regulation
For quantitative measurement of TPS27:
Quantitative ELISA approaches:
Develop a standard curve using recombinant TPS27 protein
Ensure extraction buffers are compatible with ELISA protocols
Include internal standards to normalize between experimental batches
Quantitative Western blot:
Use housekeeping proteins (e.g., actin, tubulin) as loading controls
Employ fluorescent secondary antibodies for wider linear range
Perform densitometry analysis with appropriate software
Include dilution series of standards for calibration
Data normalization considerations:
Account for total protein content (Bradford/BCA assay)
Consider tissue-specific reference proteins
Report relative abundance changes rather than absolute values unless validated standards are used
Emerging applications for TPS27 antibody include:
Metabolic engineering verification:
Confirm protein expression in transgenic plants with modified terpene biosynthetic pathways
Monitor protein stability in plants engineered for enhanced essential oil production
Validate subcellular targeting in compartmentalized biosynthesis approaches
Protein-protein interaction studies:
Use for co-immunoprecipitation to identify interaction partners
Apply in proximity ligation assays to visualize protein complexes in situ
Combine with mass spectrometry for interactome analysis
Climate change response research:
Monitor changes in TPS27 protein levels under altered CO₂ and temperature conditions
Correlate with volatile emission profiles to understand adaptive responses
Develop early biochemical markers for plant stress under changing climate conditions
Integration opportunities include:
Proteomics-metabolomics integration:
Correlate TPS27 protein abundance with terpene metabolite profiles
Identify post-translational modifications affecting enzyme activity
Develop predictive models linking protein levels to metabolic outputs
Transcriptome-proteome correlation:
Compare TPS27 transcript levels with protein abundance to identify regulatory mechanisms
Identify conditions with post-transcriptional regulation
Develop correction factors for transcript-based predictions of enzyme activity
Systems biology approaches:
Position TPS27 within broader signaling and metabolic networks
Identify rate-limiting steps in terpene biosynthesis
Model flux through biosynthetic pathways based on enzyme abundance
For consistent results across extended research projects:
Antibody performance tracking:
Maintain a positive control sample as reference standard
Document signal intensity and background levels for each experiment
Record lot numbers and create control charts to track performance over time
Storage and handling validation:
Test aliquots after various storage durations to establish stability profile
Compare fresh vs. stored antibody performance periodically
Document freeze-thaw stability with performance metrics
Regular specificity confirmation:
Periodically revalidate with knockout/negative controls
Compare detection patterns across different tissues/conditions
Consider epitope mapping if inconsistencies arise
When publishing TPS27 antibody-based research, report:
Antibody details:
Experimental conditions:
Complete protocol details (dilutions, incubation times/temperatures)
Blocking reagents and concentrations
Detection method specifications
Image acquisition parameters
Validation evidence:
Controls used (positive, negative, loading)
How specificity was confirmed
Representative images of full blots/results
Quantification method details