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RNA Library Preparation Solutions


High Exon Coverage Uniformity RNA Library Prep Kit
Compatiable with illumina, MGI and Element sequencing platform

5-Tube Reagent (Pre-mixed)

Complete library prep in ~3.5 hours. Support      10 ng-4 μg RNA inputs

Safer,Toxic Actinomycin D Free

No More Actinomycin D with light protection brown tube

Higher Strand Specificity

Engineered reverse transcriptase for high strand specificity

High Exon Coverage Uniformity

Higher Coverage in High GC Exon. 

Automation-Friendly Workflows

Ready-to-Use Plate Reagent

Key Performance Data

Less to 5 Tubes, Save 2 Hours

(A). Less to 5 Tubes

We refined the formulation and simplified the steps for first-strand synthesis, second-strand synthesis, and ligation, enabled by rigorous development and validation testing.

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(B). Operation Time Reduced by 2 Hours

Enzymes and buffers are pre-mixed to reduce reagent components and simplify preparation.

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Enhanced Strand-specificity for Reliable Transcript Profiling

(A). Actinomycin D–Free, Lab-Safe workflow

No toxic Actinomycin D, no light-sensitive steps, and no unpleasant odor exposure are required. This safer workflow also delivers high strand-specific data, ensuring reliable RNA library preparation under standard lab conditions.

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(B). Optimized Reverse Transcriptase for Accurate Strand Information

A novel, advanced reverse transcriptase fully suppresses intrinsic DNA polymerase activity, enhancing strand fidelity. This ensures accurate discrimination of sense and antisense transcripts and supports reliable gene expression and transcriptome analysis.

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Enhanced Exon Coverage Uniformity

(A). Higher Library Yield

Optimized enzymatic performance significantly boosts library yield and conversion efficiency, providing superior library output and higher complexity in both conventional mRNA libraries and lncRNA libraries, while ensuring reliable transcriptome representation.

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(B). High Exon Coverage Uniformity

Delivers even coverage across exonic regions with minimal 5′/3′ bias. Consistent performance across different transcript lengths and GC contents ensures accurate quantification and reproducible results

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(C). Robust High-GC Coverage

Delivers improved sequencing depth across high-GC exonic regions. Consistent performance across genes with varying GC content ensures accurate quantification and reliable detection. RNA-seq profiling (~8,000 genes) demonstrates enhanced coverage in high-GC exons with Yeasen 12340.

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Automation-Ready with Fewer Cleanups and Handling Steps

Designed with streamlined plate-format packaging, this kit is fully compatible with major commercial automation workstations. It minimizes manual cleanups and handling steps, enabling scalable high-throughput processing with consistent batch performance.

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(A). Higher Library Yield

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(B). Consistency Analysis

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Figure . Comparison of Library Yields Between Automated and Manual Prep.
(A).Four RNA standard samples (D5, D6, F7, M8) were used (3 replicates each) with 12340 and mRNA Isolation Master Kit (Cat#12629). Libraries were prepared using the automated platform and manual workflow. Both automated and manual preps showed highly uniform library yields across all samples. 
(B).Accuracy of gene expression quantification. Fold-change analysis of 12340 against the RNA standard dataset showed high consistency (Pearson r2 > 0.94).

Application

Yeasen provides application-driven NGS workflows designed to support diverse research and clinical needs—from fundamental genomics to translational and applied sequencing studies.

Transcriptome Profiling

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mRNA Sequencing

Genome-wide gene expression analysis through poly(A)+ RNA enrichment for transcript quantification and differential expression studies.

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Total RNA Sequencing

Comprehensive transcriptome analysis including coding and non-coding RNA by removing rRNA.

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LncRNA Sequencing

Identification and quantification of long non-coding RNAs involved in gene regulation.

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Alternative Splicing Analysis

Detection and characterization of transcript isoforms and alternative splicing events.

Specialized & Advanced RNA Applications

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Pathogen/Microbial Transcriptomics

Analysis of microbial gene expression and host–pathogen interactions during infection.

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Small RNA Sequencing

Profiling of regulatory small RNAs such as miRNA, siRNA, and piRNA.

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FFPE / Degraded RNA Sequencing

Transcriptome analysis from degraded RNA samples such as FFPE tissues.

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Fusion Transcript Detection

Identification of gene fusion transcripts and chimeric RNA molecules in cancer research.

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Single-Cell Transcriptomics

Gene expression analysis at single-cell resolution to reveal cellular heterogeneity.

Product Selection Guide

Specification

Conventional RNA seq Kit

Strand-specific  Kit

Non-strand-specific Kit

Cat.NO.

Input RNA Range

10 ng – 1 µg

10 ng – 4 µg

10 ng – 4 µg

Workflow Time

~4 h

~3.5 h

~3.5 h

Tube Qty

10 tubes

5 tubes

5 tubes

mRNA enrichment

Compatible with mRNA Oligo dT Beads 12629ES

 

 

rRNA depletion

Compatible with rRNA Depletion Module 12257ES (Human/Rat/Mouse) or 12254ES (Plant)

 

 

Strand-specific

Strand-specific &
Non-strand-specific

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Automation compatibility

FAQs

Which Yeasen RNA library prep kit should I choose?

Different kits are optimized for specific RNA applications, including mRNA sequencing, total RNA sequencing, and strand-specific transcriptome analysis. Selection depends on sample type, RNA quality, and research goals.

>>Kit Selection Guide

How do I choose between mRNA-Seq and Total RNA-Seq library preparation?

mRNA-Seq enriches poly(A)+ transcripts and is ideal for gene expression studies in eukaryotic samples. Total RNA-Seq uses rRNA depletion to capture both coding and non-coding RNAs, providing a more comprehensive transcriptome profile.

>>The Ultimate Guide to NGS mRNA Library Prep

How should RNA quality be evaluated before library preparation?

RNA integrity should be assessed using RIN values, fragment distribution, and purity ratios (A260/A280). High-quality RNA (typically RIN ≥7) ensures optimal library complexity and sequencing performance.

How can I confirm strand specificity in RNA libraries?

Strand specificity can be validated by mapping reads to known gene orientations and analyzing sense/antisense read distribution in transcriptome data.

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