RNA-Seq was developed to perform transcriptome profiling and provides a highly precise measurement of expression levels of transcripts and their isoforms. Normally, RNA-Seq analysis requires at least 500 ng โ1 ฮผg of total RNA. When working with small biopsies, single cells (such as circulating tumor cells), or other limited material, whole transcriptome amplification (WTA) is normally required. Various WTA methods overcome limited RNA availability and enable transcriptome analysis from limited material or even single cells. In standard PCR-based WTA procedures, however, bias from uneven coverage of cDNA regions with high GC or AT content or amplification errors can lead to the loss of transcripts and wrong variant calling. Here, we compare a standard RNA-Seq library preparation method and the REPLI-g RNA library protocol. The REPLI-g procedure is a PCR-free protocol to efficiently generate RNA-Seq libraries from small amounts of RNA or a single cell in 6.5โ7 hours. The REPLI-g protocol uses whole transcriptome amplification based on multiple displacement amplification (MDA), combined with an efficient library adaptor ligation procedure, to prepare RNA-Seq libraries from small RNA amounts. The procedure demonstrates high fidelity, minimal bias and retention of sampleโs transcriptional profile. Compared to standard RNA-Seq library prep, the REPLI-g protocol demonstrates similar reproducibility and sensitivity in transcript detection.
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Enabling RNA-Seq With Limited RNA Using Whole Transcriptome Amplification
1. Ioanna Andreou, Isabell Haupt, Annika Piotrowski, Nan Fang
QIAGEN GmbH, QIAGEN Strasse 1, 40724 Hilden, Germany
109638608/2015
Enabling RNA-Seq With Limited RNA Using
Whole Transcriptome Amplification
Sample to Insight
Introduction
RNA-Seq was developed to perform transcriptome profiling and provides a highly precise measurement of expression levels
of transcripts and their isoforms. Normally, RNA-Seq analysis requires at least 500 ng โ1 ยตg of total RNA. When working
with small biopsies, single cells (such as circulating tumor cells), or other limited material, whole transcriptome amplification
(WTA) is normally required. Various WTA methods overcome limited RNA availability and enable transcriptome analysis from
limited material or even single cells. In standard PCR-based WTA procedures, however, bias from uneven coverage of cDNA
regions with high GC or AT content or amplification errors can lead to the loss of transcripts and wrong variant calling.
Here, we compare a standard RNA-Seq library preparation method and the REPLI-gยฎ
RNA library protocol. The REPLI-g
procedure is a PCR-free protocol to efficiently generate RNA-Seq libraries from small amounts of RNA or a single cell in
6.5โ7 hours. The REPLI-g protocol uses whole transcriptome amplification based on multiple displacement amplification (MDA),
combined with an efficient library adaptor ligation procedure, to prepare RNA-Seq libraries from small RNA amounts. The
procedure demonstrates high fidelity, minimal bias and retention of sampleโs transcriptional profile. Compared to standard
RNA-Seq library prep, the REPLI-g protocol demonstrates similar reproducibility and sensitivity in transcript detection.
RNA-Seq was performed using total RNA from 2 different cell types and 2 different methods. One method is based on
MDA amplification of cDNA and the second is a strand-specific mRNA-Seq library preparation.
For WTA,10 ng total RNA was used. For the strand-specific mRNA-Seq library, 1 ยตg total RNA was used. Generated
libraries were sequenced on an Illuminaยฎ
MiSeqยฎ
instrument.
Experimental Workflows
Reliable Detection of All Transcripts
We compared the number of detected genes. The high number of expressed genes detected in sequencing enables accurate
RNA expression studies. Using the REPLI-g Single Cell RNA Library Kit, we detected a comparable number of expressed
genes with 10 ng total input RNA as with a standard RNA-Seq library prep kit with 1 ยตg input RNA. In the figure, we compare
the number of detected genes with an FPKM (fragments per kb of transcript per million mapped reads) value of at least 1. In
RNA-Seq, the relative expression of a transcript is proportional to the number of cDNA fragments that originate from it.
Significant Number of Reads Belong to Protein-Coding RNA
We show that with the REPLI-g Single Cell RNA Library Kit, we obtained a high percentage of protein-coding genes,
comparable with RNA-Seq. The efficient mRNA transcription and efficient genomic DNA wipeout step ensure a reliable
and efficient reverse transcription and amplification of mRNA, maximizing the valuable information from the experiment.
RNA biotype. Comparison of the percentage of RNA biotypes obtained with
RNA-Seq and REPLI-g RNA library from 2 different cell types. With both
methods, a comparable number of protein-coding genes were obtained.
Reproducibility of protocol. The REPLI-g RNA library protocol resulted in
reproducible results. The percentage of protein coding genes (mean of
4 replicates with SD) is shown.
WTA workflow. mRNA is transcribed and ligated. Ligated cDNA was then amplified using the REPLI-g SensiPhi DNA Polymerase, included in the REPLI-g
Single Cell RNA Library Kit. The polymerase leverages a high template affinity, high fidelity, and a high DNA strand displacement ability. The amplified
cDNA was used to generate sequencing libraries using a completely PCR-free protocol.
RNA-Seq workflow. mRNA is hybridized on beads and transcribed using 2 types of primer to ensure strand-specific mRNA sequence. The transcribed
fragments are ligated to the second primer before second strand synthesis is performed. The cDNA library is generated using PCR and then undergoes
enrichment PCR and purification.
Reliable Expression Profiling
We compared expression levels of replicates in two different RNA library preparations generated with RNA-Seq and
REPLI-g RNA library sequencing.
Conclusion
For more information, visit www.qiagen.com
The REPLI-g Single Cell RNA Library Kit allows reliable investigation of the transcriptome from limited amounts of material.
Our data demonstrate that MDA technology can be applied to amplify cDNA and result in expression analysis comparable
to other RNA-Seq workflows.
The REPLI-g Single Cell RNA Library Kit provides:
โข Fast time-to-result through a streamlined protocol
โข Unbiased, PCR-free library construction
โข Comprehensive and accurate transcriptome profiling of tiny samples
โข Minimal bias and sensitive detection of low-abundance transcripts
โข High-quality libraries, ready for use on any Illumina NGS platform
For up-to-date licensing information and product-specific disclaimers, see the respective QIAGEN kit handbook or user
manual. QIAGEN kit handbooks and user manuals are available at www.qiagen.com or can be requested from QIAGEN
Technical Services or your local distributor.
Trademarks: QIAGENยฎ
, Sample to Insightยฎ
, REPLI-gยฎ
(QIAGEN Group); Illuminaยฎ
, MiSeqยฎ
(Illumina, Inc.). Registered names, trademarks, etc. used in this
document, even when not specifically marked as such, are not to be considered unprotected by law. ยฉ 2015 QIAGEN, all rights reserved.Expression levels of replicate experiments using RNA-Seq or the REPLI-g RNA Library Kit.
12000
10000
8000
6000
4000
2000
RNA-Seq REPLI-g RNA Library
0
Number detected genes with FPKM>1;
mean of 4 with SD
cell replicate 1_2
R2
= 0.99339
cell replicate 1
1,000,000
100,000
10,000
1000
100
10
1
0.1
0.01
1,000,000
100,000
10,000
1000
100
10
1
0.1
0.01
cell replicate 2
R2
= 0.99609
cell replicate 1
1,000,000
100,000
10,000
1000
100
10
1
0.1
0.01
1,000,000
100,000
10,000
1000
100
10
1
0.1
0.01
100
RNA biotypes,%
80
60
40
20
Cell type 1 Cell type 2 Cell type 1 Cell type 2
RNA-Seq REPLI-g RNA Library
snoRNA
snRNA_pseudogene
snRNA
scRNA_pseudogene
rRNA_pseudogene
rRNA
pseudogene
misc_RNA
miRNA_peseudogene
miRNA
lincRNA
Mt_tRNA_pseudogene
Mt_tRNA
mt_rRNA
protein_coding
0
100
80
60
40
20
RNA-Seq REPLI-g RNA Library
0
Protein coding
genes, %
RNA
denaturation,
gDNA
removal
RNA
denaturation
Reverse
transcription
mRNA
immobiliza-
tion
on beads
Ligation
Primer
hybridization
MDA
RT and
Ligation
cDNA
shearing
Purification
Library
generation
Second
strand
synthesis
Size
selection,
adaptor
removal
cDNA
library
purification
Library
amplification
Library
purification
One tube reaction
Comparison of number of detected genes obtained with RNA-Seq and REPLI-g RNA library Kit. Detected genes with FPKM>1.
Protein coding
genes, %
RNA biotypes,
%
Generation of an RNA library from limited material
Sample type Single cell, multiple cells, tissue, blood, gDNA, RNA
Application Single-cell RNA analysis (1โ1000 cells or 10 pg โ 100 ng purified RNA)
QIAGENโs solution REPLI-g Single Cell RNA Library Kit
Analytical technology Next-generation sequencing