How to find the right cDNA AI guide
Written by an AI model from its trained knowledge.
What the AI looks for in cDNA
- Priming method
- Oligo-dT for full-length mRNA and 3'-focused assays; random hexamers, or a mix, for 5' targets, non-polyadenylated RNA or partially degraded input Oligo-dT-primed cDNA underrepresents regions far from the poly-A tail.
- Normalization
- Tissue panels should be normalized to one or more housekeeping genes, with the normalization documented Without it, tissue-to-tissue comparisons reflect input differences rather than expression.
- gDNA control
- Supplier should confirm absence of genomic DNA, or you should run intron-spanning primers gDNA amplifies alongside cDNA and inflates signal.
- Source tissue and species
- Match tissue, species, developmental stage and disease status to your question Gene expression is highly tissue- and stage-specific.
- Format
- Choose single-tissue vials, multi-tissue panels or plated qPCR arrays based on your throughput Plated arrays save setup time but fix the panel composition.
Brands that matter
- Takara Bio: Known for multiple-tissue cDNA panels (MTC line).
- BioChain Institute: Tissue cDNA from normal, tumor and fetal sources.
- OriGene: Plated tissue cDNA arrays for qPCR (TissueScan).
- Thermo Fisher Scientific: cDNA synthesis kits and reverse transcriptases if you prefer to make your own.
What to avoid
- Using oligo-dT-primed cDNA for targets far upstream of the poly-A tail
- Panels without normalization or gDNA-free documentation
- Primers that do not span an intron, unless you have confirmed the cDNA is gDNA-free
Questions
Buy ready-made cDNA or synthesize my own?
Ready-made panels give access to tissues that are hard to obtain and come pre-normalized. Making your own from your RNA lets you control priming, input amount and the no-RT control.