Incredibly fast and affordable RNA-seq with analysis included.
Academic / industry, per sample
No quote or minimum order
When shipped within the US or Europe
About one week from other regions
Through our dropbox network
Preserved cells or purified total RNA (Sample Prep →)
Check cell identity and screen for mycoplasma contamination
Compare treatments, investigate a phenotype, or keep tabs on your favorite genes. With transcriptome-wide Plasmidsaurus RNA-Seq and interactive analysis in every order, you can measure the genes you planned for and the thousands you didn’t, and see what else your data can tell you when the next hypothesis comes along.
Bring gene expression analysis into more of your experiments with fast turnaround and a fixed price per sample. Explore your results online, or download the data for your own analysis.
Start with the genes you’d normally run, then wander off-panel whenever a new question pops up. The answers are already in your data. No new samples, no new assays.
Included analysis
Move between a broad view of your experiment and the genes that matter to your question.
Explore expression patterns in heatmaps, bars, and tiles. Create comparisons to investigate which genes change between conditions.
Find expression patterns with gene clustering.
Explore differential expression in volcano or MA plots.
Investigate pathway enrichment in human and mouse samples.
Paste a gene list or search for individual genes, then compare them across up to four conditions against a common baseline. Export a figure or the underlying data.
View changes as fold change, log₂ fold change, or ΔΔCq.
Search pathways and over 2,300 commercial qPCR panels.
Review read counts and RNA concentration for each sample.
Compare sample relationships at a glance.
Check replicate agreement and spot outliers.
Flag contamination that can skew gene expression.
Confirm human cell line or mouse strain identity.
Available views and gene-set libraries depend on your order and organism.
Compare the evidence
See how our RNA-Seq stacks up against RT-qPCR and conventional RNA-seq, so you can decide with evidence.
On the same 16 samples, RNA-Seq closely matched RT-qPCR fold changes gene for gene (Pearson r = 0.97–0.99) and picked up responses even in genes expressed below 1 count per million (CPM).
Modeled cost for 16 samples
Duplicate measurements · $375 each
One measurement per sample · $80 each
Counting the 3′ ends of polyadenylated transcripts focuses your reads on gene-level expression, so each sample needs less sequencing depth.
Make sure your results reflect your biology, not a contaminant or a mix-up. These checks run on the sequencing data from your existing order, at no extra cost.
Catch hidden contamination! Mycoplasma can skew your expression data without changing how your cells look. We flag it in your results so you can act before it costs you more experiments.
Go to Technical Note
Catch sample mix-ups! A misidentified cell line can undermine your conclusions without you ever knowing. We identify human cell lines and mouse strains so you know exactly what you sequenced.
Go to Technical Note
For file formats, processing details, and the full list of deliverables, see the RNA-Seq Technical Documentation.
Gene count matrices, comparison tables, and exportable plots for your figures and downstream analyses.
Processed FASTQ reads and deduplicated, aligned BAM files for your own analysis workflow.
Mycoplasma screening, cell line or mouse strain identification where supported, and PCA and correlation views, plus per-sample mapping statistics and MultiQC reports.
"This is SO COOL!!!!! Huge kudos to Plasmidsaurus for this incredibly fast, affordable service. We'll definitely love using this service in the future."
Send supported cultured cells in Zymo DNA/RNA Shield or purified total RNA preserved with SEQguard Dino Preserve ↗ for room-temperature shipping. We handle library preparation, sequencing, and analysis.
The service is designed for comparing gene-level expression of polyadenylated RNA. If that is the focus of your experiment, review our comparison with fragmentation-based RNA-Seq. Studies focused on transcript structure, splice isoforms, or non-polyadenylated RNA need a different approach. Contact us to discuss your project.
Yes. Select individual genes or paste your gene list to explore their expression in your RNA-Seq data. Where Gene Panels is available, you can compare conditions against a common baseline using fold change, log₂ fold change, or a ΔΔCq-equivalent display. The last option is a transformation of the RNA-Seq estimate, not a qPCR measurement. You can also explore genes outside your original list.
Submit supported cultured cells preserved in Zymo DNA/RNA Shield, or purified eukaryotic total RNA. SEQguard Dino Preserve enables room-temperature shipping of purified RNA; dry-ice shipping is also accepted. Check the sample preparation guidelines for accepted sample types, input amounts, and preservation instructions.
Samples meeting the input requirements typically produce at least 10 million unique, deduplicated mapped reads. Yield varies with RNA quality, input, and mapping, and is not guaranteed. Your results include mapping statistics to help interpret the yield. See the technical documentation for details.
Include biological replicates to estimate variability and support statistical comparisons. When either group has only one sample, comparisons provide descriptive fold changes without inferential significance. You can submit samples without a minimum order size, but experimental replication should match the question you want to answer.
Yes. Download gene counts, quality-control reports, processed FASTQ reads, and deduplicated, aligned BAM files. You can use these alongside the included online analysis. The data and deliverables documentation describes how each file is processed.
