商品名称：QIAseq UPX 3' Transcriptome Kit (384)
QIAseq UPX 3' Transcriptome Kits enable high-throughput gene expression analysis from cell lysates and isolated total RNA. Each kit is enough for 96 or 384 libraries with kit formats comprised of either 96-well multi-break plates or 384-well single-use plates with reverse transcription primers already lyophilized in the bottom of the plates for ease of use. To build libraries for RNA-seq, simply add cells or up to 10 ng of total 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.
Analyze 3’ RNA-seq data with ease using the GeneGlobe-integrated RNA-seq Analysis Portal – an intuitive, web-based data analysis solution created for biologists and included with QIAseq UPX 3’ Transcriptome Kits.
Want to try this solution for the first time? Request a quote for a trial kit.
The QIAseq UPX 3' Transcriptome Kit enables high-throughput next-generation sequencing (NGS) of polyadenylated RNAs. The kit is intended for library construction and analysis of cell pellets and ultra-low amounts of total RNA, starting with cell pellets or isolated RNA. QIAGEN’s Sample to Insight approach makes transcriptome and targeted gene expression accessible to researchers who demand high-quality results but do not have the time or experience in NGS workflow optimization or have the ability to create complicated bioinformatic pipelines for read alignment and differential gene expression analysis.
Consistency of Detection with QIAseq UPX 3’ Transcriptome Kits.
Library QC and Quantification.
The QIAseq UPX 3' Transcriptome Kit enables high-throughput next-generation sequencing (NGS) of polyadenylated RNAs. The kit is intended for library construction and analysis of cell pellets and ultra-low amounts of total RNA, starting with cell pellets or isolated RNA. QIAGEN’s Sample to Insight approach makes transcriptome and targeted gene expression accessible to researchers who demand high-quality results but do not have the time or experience in NGS workflow optimization or have the ability to create complicated bioinformatic pipelines for read alignment and differential gene expression analysis.
QIAseq UPX 3' Transcriptome Kits enable Sample to Insight, high-throughput NGS of polyadenylated RNAs from cell lysates or isolated RNA on Illumina NGS instruments. Kits are intended for library construction and analysis of cell pellets (up to 100 cells) or purified RNA (10 pg to 10 ng). QIAseq UPX 3' Transcriptome Kits present an innovative advantage in that during reverse transcription, each cell is tagged with a unique ID (up to 384 different IDs) and each RNA molecule is tagged with a Unique Molecular Index (UMI). Following reverse transcription with integrated template switching, all individually tagged cDNAs can be combined, which enables all subsequent library construction steps to be performed in a single tube. This prevents sample mixup, saves substantial time and dramatically reduces library prep costs. During subsequent amplification and library construction up to 48 different sample IDs can be assigned. Together, the combination of cell IDs and sample IDs enables up to 18,432 libraries to be sequenced together. The GeneGlobe-integrated RNA-seq Analysis Portal enables primary mapping and differential expression analysis.
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 RNA from cell lysates 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.
Library construction starts with lysis of cells or addition of total RNA to the 96- or 384-well plates that have the reverse transcription primers. Poly-A RNA is reverse transcribed using LNA-enhanced chemistry with an oligo-dt primer containing a random Unique Molecular Index (UMI) and a fixed cell ID. Following reverse transcription, cDNA is combined into a single tube for amplification, fragmentation, end-repair, A-addition and adapter ligation. During library amplification, up to 48 different sample indices can be assigned. The combination of cell IDs and sample IDs enables up to 18,432 libraries to be sequenced simultaneously.
The QIAseq UPX 3' Transcriptome Kit enables high-throughput next-generation sequencing (NGS) of polyadenylated RNAs. The kit is intended for library construction and analysis of cell pellets and ultra-low amounts of total RNA, starting with cell pellets or isolated RNA. QIAGEN’s Sample to Insight approach makes transcriptome and targeted gene expression accessible to researchers who demand high-quality results but do not have the time or experience in NGS workflow optimization or have the ability to create complicated bioinformatic pipelines for read alignment and differential gene expression 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 low-input gene expression analysis.
The QIAseq UPX 3' Transcriptome Kit enables high-throughput next-generation sequencing (NGS) of polyadenylated RNAs. The kit is intended for library construction and analysis of cell pellets and ultra-low amounts of total RNA, starting with cell pellets or isolated RNA. QIAGEN’s Sample to Insight approach makes transcriptome and targeted gene expression accessible to researchers who demand high-quality results but do not have the time or experience in NGS workflow optimization or have the ability to create complicated bioinformatic pipelines for read alignment and differential gene expression analysis.
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