Quantitative Polymerase Chain Reaction

qPCR Gene Expression, Outsourced.

Relative and absolute mRNA quantification with 384-well throughput — full Cq raw data and ΔΔCt results delivered in JSON/CSV for computational analysis.

2–5 days turnaround

384-well plate format

ΔΔCt method

Specifications

What you submit. What you get back.

Turnaround

2–5 business days

From RNA/sample receipt. Primer design adds 1–2 days if customer-supplied sequences not provided.

Sample Requirements

RNA ≥10 ng/µL, RIN ≥7

Total RNA, purified cDNA, or cell pellets accepted. Primer design included or submit your own sequences.

Output Format

JSON + CSV

Raw Cq values per well, ΔCt and ΔΔCt calculations, fold-change with error bars, reference gene stability scores.

AI-Readiness

Gene expression data your models can ingest directly

qPCR data from Litmus is delivered pre-normalized and structured. Multiple reference genes, full plate layout metadata, and normalized fold-change values arrive in a single JSON payload — no manual Cq export or Excel formula work required.

Raw Cq values for every well in the plate layout
ΔΔCt and fold-change calculated with multiple reference genes
Reference gene stability scoring (geNorm/NormFinder)
Amplification efficiency per primer pair
384-well plate map included for spatial normalization

                            # qPCR result payload
                            assay: "qPCR"
                            targets: ["GAPDH", "MYC", "TP53"]
                            samples: [
                              { id: "T1",
                                cq: { MYC: 24.3, TP53: 27.1 },
                                fold_change: { MYC: 3.4 } },
                              ...
                            ]
                            reference_genes: ["GAPDH", "ACTB"]
                            efficiency: { MYC: 0.98 }
                        

Use Cases

Who orders qPCR assays from Litmus

Mechanism of Action Validation

Confirm that a compound modulates the expected transcriptional targets before advancing to more expensive in vivo studies.

Biomarker Discovery & Signature Profiling

Profile a panel of candidate gene biomarkers across treatment conditions to identify robust pharmacodynamic signatures.

Pathway & Transcription Factor Analysis

Measure downstream gene expression changes to map which pathways a compound activates or suppresses in your cell model.

Ready to run your qPCR?

Tell us your targets, sample type, and throughput — we'll handle primer design, plating, and data delivery.

Or email us directly. No spam, ever.