
QIAseq UPX 3’ Transcriptome Kits
- Start with 1–100 cells or 10 pg to 1 ng of isolated RNA
- LNA-enhanced chemistry for increased accuracy, specificity and sensitivity
- UMIs eliminate library amplification bias for accurate gene expression
- UPX tagging allows 4608–18,432 samples per single sequencing lane
- Includes cloud-based read alignment and single-cell or low-input analysis
QIAseq UPX 3" Transcriptome Kits enable high-throughput gene expression analysis from single cells and previously isolated RNA. Each kit is enough for 96 or 384 libraries, with kit format comprising of either a 96-well multi-break plates or 384-well single use plates with reverse transcription primers already lyophilized in the bottom of the plate for ease of use. To build libraries for RNA-seq, simply add 1 to 100 cells into each well or 10 pg to 1 ng of RNA to reconstitute a reverse transcription reaction. After cDNA synthesis, combine each plate into a single tube to complete the library preparation. All reagents necessary for starting with cells (such as lysis reagents) or RNA are included in the kit. Want to try this solution for the first time? Request a quote for a trial kit.
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Cat No./ID:333074 QIAseq UPX 3" Trans. 12-Index (48) $1,033.00 For indexing up to 12 samples per sequencing lane on Illumina NGS instruments; multiple 96- or 384-well plates can be combined as one sample allowing for 12 x 96-well plates (1152 cells/wells) or 12 x 384-well plates (4608 cells/wells) per lane |
Cat No./ID:333075 QIAseq UPX 3" Trans. 48-Index (192) $2,067.00 For indexing up to 48 samples per sequencing lane on Illumina NGS instruments; multiple 96- or 384-well plates can be combined as one sample allowing for 48 x 96-well plates (4608 cells/wells) or 48 x 384-well plates (18,432 cells/wells) per lane |
Cat No./ID:333088 QIAseq UPX 3" Transcriptome Kit (96) $2,959.00 For 3" gene expression analysis from cells or mRNA of 8–96 samples at one time; each kit contains cell lysis solution, buffers, oligos and enzymes lyophilized in a 96-well plate which can be easily separated for processing 8–96 samples in parallel (this format is ideal for both small and large sample sizes) |
Cat No./ID:333089 QIAseq UPX 3" Transcriptome Kit (96-M) $8,996.00 For 3" gene expression analysis from cells or mRNA of up to 384 samples; each kit contains cell lysis solution, buffers, oligos and enzymes in a 96-well plate. The increased volumes allow for automation or manual pipetting or where custom protocols are necessary. |
Cat No./ID:333090 QIAseq UPX 3" Transcriptome Kit (384) $8,996.00 For 3" gene expression analysis from cells or mRNA of 384 samples simultaneously; each kit contains cell lysis solution, buffers, oligos and enzymeslyophilized on a 384-well plate for processing 384 samples in parallel (this format is best suited for large samples numbers of at least 384 samples) |
Product Details
Innovative, optimized workflow
The QIAseq UPX 3" Transcriptome Kit defines a new generation of high-throughput NGS technologies in QIAGEN’s Sample to Insight workflow.Purified RNA or single cells are first reverse transcribed and each RNA molecule is given a Unique Molecular Index (UMI) and well-specific IDs are assigned (up to 384 wells; cell IDs). Following reverse transcription with integrated template switching, all cDNAs are combined, enabling simplified library construction steps to be performed in a single tube.During subsequent amplification and library construction, up to 48 different library indices (sample IDs) can be assigned. The combination of cell IDs and sample IDs enables up to 18,432 libraries to be sequenced simultaneously (see figures "Innovative and Optimized QIAseq UPX 3" Transcriptome Kit Workflow" and "QIAGEN’s Sample to Insight QIAseq UPX 3" Transcriptome Workflow").Convenient GeneGlobe data analysis
QIAseq UPX cloud-based data analysis is available via the GeneGlobe Data Analysis Center and provides read alignments, UMI and sample de-multiplexing, with final single-cell or low-input gene expression analysis.- High-throughput screening applications (e.g., toxicology research)
- Single-cell analysis
- Differential gene expression analysis
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