Human Cluster of differentiation 63, CD63 ELISA Kit

What it means: Target is the analyte this ELISA kit is designed to measure. The target shown here is CD63.

How to interpret here: Treat CD63 as the “what you will quantify.” This listing is for species Human, with reactivity listed as Human, and intended matrices like Serum, plasma, cell culture supernates. The assay type Sandwich influences curve behavior and interpretation. Plan dilutions so results fall within 0.3-90 ng/ml. If expected baseline is low, compare to sensitivity 0.14 ng/ml. Choose this when your organism/matrix fit and your expected levels can be brought into the working range; consider another kit if you need different species validation, matrix validation, or a different range/sensitivity.

Targets are often used as biomarkers for pathway activity, disease models, or treatment response. Practical success depends on species/matrix matching and good curve placement.

Why it matters for buying:

• Correct biomarker match: Confirms you are measuring the intended analyte (related family members or isoforms can complicate interpretation).
• Species alignment: Species-matched kits (here Human) reduce under-recovery due to sequence differences.
• Matrix fit: Intended matrices include Serum, plasma, cell culture supernates; unlisted matrices typically require extra validation.
• Throughput planning: Assay time 1h 30m affects batching and staffing for large sample sets.

How it impacts your workflow:

• Dilution series first: Run serial dilutions to land in the linear region and avoid saturation/below-range noise.
• Controls: Include blanks, standards, and (when possible) matrix-matched positive controls; replicate low-level samples.
• Matrix validation: Use spike-recovery and dilution linearity (parallelism) before committing to a full cohort.

What to watch out for:

• Cross-reactivity/isoforms: Check datasheet cross-reactivity notes if specificity is critical.
• Sample handling: Keep samples cold, minimize freeze–thaw cycles, and use recommended diluents to protect analyte stability.
• Near-limit calls: Close to 0.14 ng/ml, small background shifts can change detectability—tight technique and replicates matter.

What it means: Species indicates the organism context for this kit. The value shown here is Human.

How to interpret here: Use Human as a compatibility checkpoint. This kit is intended to measure CD63 in Human samples. Combine this with sample type Serum, plasma, cell culture supernates to choose matrices and controls. Plan dilutions to land within 0.3-90 ng/ml for reliable quantification. Choose this when your study organism matches; validate carefully for cross-species use (spike recovery + parallelism), since sequence differences can reduce binding.

Species mismatches are a common cause of weak signal or under-recovery in ELISA because antibody binding can change with protein sequence differences.

Why it matters for buying:

• Risk reduction: Species mismatch can cause false negatives or compressed curves.
• Comparability: Avoid comparing absolute concentrations across species unless you validated equivalent recovery.
• Control selection: Species context informs what positive controls and standards are most appropriate.

How it impacts your workflow:

• Matrix-matched controls: Keep species and matrix consistent across groups to reduce confounding.
• Cross-species pilot: If using another species, test spike recovery and dilution linearity before scaling up.
• Interpretation discipline: Treat cross-species results as “validated only after QC,” not plug-and-play.

What to watch out for:

• Serum vs plasma differences: Anticoagulants (EDTA/heparin) can shift background; keep matrix consistent within a study.
• Low-level targets: Species/matrix mismatch can push borderline signals below detectability—use replicates and careful washing.

What it means: Reactivity describes which species the kit’s antibodies/standards are validated to detect. The reactivity shown here is Human.

How to interpret here: Treat Human as the “validated detection scope.” This kit is intended to detect CD63 within that scope. Pair it with sample type Serum, plasma, cell culture supernates to choose matrices and controls. Choose this when your samples fall within the listed reactivity; validate carefully for off-list species to avoid under-recovery or false negatives.

Even if species and reactivity look similar, cross-species performance can vary due to target sequence differences and matrix effects.

Why it matters for buying:

• Performance confidence: Validated reactivity reduces the chance of weak binding and inaccurate quantification.
• Study design: Determines what organisms you can compare without extra validation work.
• Time/cost: Off-list reactivity typically requires a pilot validation and may increase repeat runs.

How it impacts your workflow:

• QC for cross-species use: Run spike recovery and dilution linearity (parallelism) in your exact matrix.
• Controls: Use species-matched positive controls when possible.
• Interpretation: Treat unexpected low values as potentially biological OR compatibility-related until validated.

What to watch out for:

• Do not assume cross-reactivity: Similar gene names across species do not guarantee antibody binding equivalence.
• Matrix interference: Serum/plasma anticoagulants or lysis buffers can change background—keep conditions consistent.

What it means: Sample Type(s) lists the matrices this kit is intended/commonly used for. The sample types shown are Serum, plasma, cell culture supernates.

How to interpret here: Treat Serum, plasma, cell culture supernates as your best hint for where the kit is expected to behave predictably. Pair it with species Human to select matrix- and species-matched controls. Plan dilutions so results land within 0.3-90 ng/ml. If expected levels are near 0.14 ng/ml, matrix background becomes a key limiter—pilot testing is strongly recommended. Choose this if your matrix matches (or you can validate a new matrix); consider another kit if you need validated performance in a different matrix with minimal development work.

Matrix effects are one of the biggest drivers of ELISA success. Background proteins, salts, lipids, and anticoagulants can change recovery and raise non-specific signal.

Why it matters for buying:

• Compatibility check: Unlisted matrices often require additional optimization and validation.
• Cost of failure: Matrix interference can force repeats; validated matrices save time and scarce samples.
• Planning: Sample type informs required sample volume, prep steps, and controls.

How it impacts your workflow:

• Prep/clarify: Centrifuge to remove debris; consistent lysis/homogenization improves repeatability.
• Dilution series: Start with serial dilutions to reduce interference and identify the linear region.
• Validation checklist: Run spike recovery and parallelism (dilution linearity) before full cohorts.

What to watch out for:

• Hemolysis/lipemia: Can raise background and hide true signal.
• Protease activity: Some targets degrade quickly—keep samples cold and use inhibitors where appropriate.

What it means: Assay Type describes how the assay generates signal. The assay type shown is Sandwich. Sandwich ELISA uses capture + detection antibodies, often improving specificity in complex matrices.

How to interpret here: Use Sandwich to anticipate curve behavior and workflow strictness. This kit measures CD63. With matrices like Serum, plasma, cell culture supernates, consistent prep and washing help control background. Assay time 1h 30m helps plan batching and staffing. Plan dilutions to keep results within 0.3-90 ng/ml. Choose this if the format matches your analyte and interpretation needs; consider another format if you require different curve behavior or validated performance in your matrix.

Assay format influences specificity, dynamic range, and tolerance to matrix interference. It also determines which QC controls are most informative.

Why it matters for buying:

• Higher specificity: Dual-antibody recognition can reduce off-target/background signal.
• Common for proteins: Widely used for cytokines, receptors, enzymes, and other protein biomarkers.

How it impacts your workflow:

• Timing and washing: Follow recommended wash counts/soak times; keep incubation timing consistent to reduce CV.
• Stay on the curve: Use dilution series to avoid saturation and below-range noise.
• QC controls: Verify curve shape, blanks, and replicates before interpreting samples.

What to watch out for:

• Edge effects: Plate temperature gradients can shift signal; seal plates and equilibrate reagents.
• Matrix-driven drift: Different anticoagulants/lysis buffers can change background—validate when you change matrices.

What it means: Sensitivity is the lowest concentration the assay can reliably distinguish from background under recommended conditions. The sensitivity shown here is 0.14 ng/ml.

How to interpret here: Use 0.14 ng/ml as a feasibility check. If you expect baseline CD63 levels near this value, plan a pilot run and replicates. Reliable quantification is best when results fall within 0.3-90 ng/ml. In matrices like Serum, plasma, cell culture supernates, background can reduce practical sensitivity—validate matrix effects (spike recovery + parallelism). Choose this if expected concentrations are comfortably above the sensitivity; consider a more sensitive kit if your baseline is near the limit or your matrix is challenging.

Sensitivity is related to, but not identical to, practical detection in every matrix. Real samples can raise background and effectively worsen the limit.

Why it matters for buying:

• Low-abundance feasibility: Helps you judge whether the kit can detect expected baseline levels.
• Risk/time planning: Near-limit work often requires extra validation and replicates—factor this into timelines and sample needs.

How it impacts your workflow:

• Pilot near expected range: Run dilution series to see where samples land on the curve.
• Background control: Clean pipetting, consistent washing, and avoiding plate drying preserve low-level detection.
• QC validation: Use spike recovery and parallelism, especially for serum/plasma and lysates.

What to watch out for:

• Hemolysis/lipemia: Can raise background and hide low signals.
• Inconsistent timing: Small incubation differences matter more at low concentrations.

What it means: Detection Range is the concentration interval where the assay is intended to quantify reliably. The range shown here is 0.3-90 ng/ml.

How to interpret here: Use 0.3-90 ng/ml to plan sample dilution and avoid re-runs. Sensitivity (0.14 ng/ml) indicates how low you can detect, while the range indicates where quantification is reliable. In matrices like Serum, plasma, cell culture supernates, dilution helps reduce matrix effects and keep readings in-range. Choose this if your expected concentrations can be brought into this range with reasonable dilutions; consider a different range if your samples are consistently far above or below this window.

Staying within the working range improves accuracy and reduces the chance of saturation (too high) or unstable readings (too low).

Why it matters for buying:

• Quantitative reliability: Results are most dependable when readings fall within the stated range.
• Dilution strategy: Guides how much to dilute (or concentrate) samples before running.
• Reduced repeats: Matching expected levels to range lowers the risk of repeat testing due to out-of-range data.

How it impacts your workflow:

• Pre-test: Run a small pilot or dilution series to bracket expected concentrations.
• Re-dilute when needed: If saturated, dilute further; if below curve, reduce dilution or choose a more sensitive kit.
• Consistency: Keep diluent, timing, and wash technique consistent to preserve curve shape.

What to watch out for:

• Non-linear edges: Lowest/highest curve points are often less stable; aim for mid-curve when possible.
• Matrix shifts: Different matrices can shift apparent concentrations—validate with spike recovery/parallelism.

What it means: Assay Time is the approximate hands-on + incubation time needed to complete the assay workflow under recommended conditions. The assay time shown here is 1h 30m.

How to interpret here: Use 1h 30m to plan throughput and scheduling. With matrices like Serum, plasma, cell culture supernates, allocate time for sample prep/clarification and keep incubations consistent. In a Sandwich format, timing consistency helps keep the standard curve stable run-to-run. Choose this if the runtime fits your lab schedule and sample stability window; consider alternatives if you need faster turnaround or must process many plates in parallel.

Assay time affects reproducibility: consistent incubations and washes reduce variability, especially across operators or multiple plates.

Why it matters for buying:

• Throughput planning: Determines how many plates you can run per day and staffing needs.
• Sample stability: Longer workflows may require colder handling and careful batching for unstable analytes.
• Reproducibility: Tight timing control reduces plate-to-plate variability.

How it impacts your workflow:

• Batch strategy: Stagger plate starts so wash/incubation timing stays consistent.
• Equipment readiness: Plan for plate washer (or manual wash), timers, and temperature control.
• Documentation: Record step timing to troubleshoot drift across runs.

What to watch out for:

• Rushing washes: Short/inconsistent washes increase background.
• Plate drying: Drying between steps can elevate background—keep workflow continuous.
• Operator variation: Standardize timing and mixing to reduce variability.