microRNAs (miRNAs) may provide useful markers for the development of disease diagnostic and prognostic assays. NGS brings sensitivity, specificity, and the ability to maximize data acquisition and minimize costs of miRNA sequencing by using multiplex strategies to allow many samples to be sequenced simultaneously with small RNA analysis. However, small RNA sequencing has typically suffered from three major drawbacks: severe bias, such that sequencing data does not reflect original miRNA abundances, the need to gel purify final libraries, and lack of low-input protocols. The NEXTflex™ Small RNA-Seq Kit v3 addresses these drawbacks by using two strategies: randomized adapters to reduce ligation-associated bias, and a dual approach to adapter-dimer reduction, thereby allowing gel-free or low-input small RNA library preparation.
3. Substantial bias introduced during ligation steps
Need to gel purify final library
Lack of low-input protocols
PROBLEM #
1
PROBLEM #
2
PROBLEM #
3
4. PROBLEM #
1
Research shows extensive bias is typically
seen in small RNA sequencing
Baran-Gale, J., Kurtz, L. C., Erdos, Sison, M. C., Young, A., Fannin, E. E., Chines, P. S. and Sethupathy, P. (2015)
Addressing bias in small RNA library preparation for sequencing: a new protocol recovers microRNAs that evade
capture by current methods. Frontiers in Genetics. doi: 10.3389/fgene.2015.00352.
6. Research shows these inconsistencies are
primarily caused by bias introduced during
the ligation step of library prep
Jayaprakash, A. D., Jabado O., Brown, B. D. and Sachidanandam, R. (Sept 2, 2011), Identification and remediation of
biases in the activity of RNA ligases in small-RNA deep sequencing Nuc Acid Res, 1–12. doi:10.1093/nar/gkr693
Zhang, et al. (2013) High-efficiency cloning enables accurate quantification of miRNA expression by deep sequencing.
Genome Biology 14 R109.
Sun, G. (2011) A bias-reducing strategy in profiling small RNAs using Solexa. RNA. 17: 2256-2262
Sorefan, K. et al. (2012) Reducing sequencing bias of small RNAs. Silence. doi:10.1186/1758-907X-3-4
8. Published research shows randomized
adapters reduce ligation bias
Jayaprakash, A. D., Jabado O., Brown, B. D. and Sachidanandam, R. (Sept 2, 2011),
Identification and remediation of biases in the activity of RNA ligases in small-RNA
deep sequencing Nuc Acid Res, 1–12. doi:10.1093/nar/gkr693.
9. Bioo Scientific makes the only small RNA
sequencing kits for Illumina platforms that
use randomized adapters to reduce ligase bias
10. The NEXTflex Small RNA-Seq Kit v3
shows more equal coverage of an equimolar
pool of 24 miRNAs (miRNA calibrator),
demonstrating more accurate representation
of the original sample
11. Figure 1. Sequencing results from small RNA libraries created in triplicate from 1 ng of miRNA
Calibrator, an equimolar mixture of 24 miRNAs. Values farther from 1 indicate more bias.
100
10
1
0.1
0.01
0.001
Observed/Expected
miRNA Calibrator
hsa-miR-92b-5p
hsa-miR-324-3p
dme-miR-6-3p
dme-miR-4-3p
has-miR-134
has-miR-23a-5p
hsa-miR-133a
hsa-miR-127-5p
hsa-miR-24-3p
hsa-let-7e-3p
hsa-miR-195-3p
hsa-miR-92a-3p
hsa-miR-34c-3p
hsa-miR-30c-1-3p
hsa-miR-320a
hsa-miR-218-1-3p
hsa-miR-34a-5p
hsa-miR-106b-5p
hsa-miR-141-3p
hsa-let-7c
hsa-miR-15a-5p
hsa-miR-21-5p
hsa-miR-29b-3p
hsa-miR-190a
CV
NEXTflex = 1.09
Illumina = 2.35
NEB = 2.31
NEXTflex Illumina NEB
12. The NEXTflex Small RNA-Seq Kit v3
shows more even coverage with the Miltenyi
miRXplore Universal References, an
equimolar mixture of 963 miRNAs
13. Figure 2. Sequencing results from small RNA libraries created in triplicate from 1 ng of
Miltenyi miRXplore Universal Reference, an equimolar mixture of 963 miRNAs.
1000
900
800
700
600
500
400
300
200
100
0
0
miRNAsdetected
miRNAs detected
Threshold (reads/100K)
NEXTflex Illumina NEB
10 20 30 40 50 60 70 80 90 100
CV
NEXTflex = 1.14
Illumina = 3.78
NEB = 1.67
14. The use of randomized adapters in the
NEXTflex Small RNA-Seq Kit v3 greatly
improves accuracy of data by reducing
bias in small RNA library prep
CONCLUSION #
1
15. The NEXTflex Small RNA-Seq Kit v3
allows detection of more miRNAs in
total RNA samples
16. Figure 3. Small RNA libraries were created in duplicate from human brain total RNA and
sequenced on an Illumina MiSeq. The indicated number of reads was sampled from each library
and the average number of miRNA groups with ≥20 reads determined. The inset shows the
number of reads required to detect 100 miRNA groups at a threshold of ≥20 reads.
Sequencing depth versus miRNAs detected
mirRNAgroupswith≥20reads
Reads sampled
180
160
140
120
100
80
60
40
20
0
0 50000 100000 150000 200000
NEXTflex - 100 ng NEXTflex - 10 ng NEB - 100 ng Illumina - 100 ng
17. The NEXTflex Small RNA-Seq Kit v3
detects the same number of miRNAs
with fewer reads
18. Figure 4. 3 - 4.5x fewer reads are necessary to detect 100 miRNAs with
the NEXTflex Small RNA Seq-Kit v3.
Reads necessary to
detect 100 miRNAs
200000
150000
100000
50000
0
NEXTflex - 100 ng NEXTflex - 10 ng NEB - 100 ng Illumina - 100 ng
19. Reduced bias small RNA library prep
using the NEXTflex Small RNA-Seq Kit
v3 allows detection of more small RNAs
at lower sequencing depth
CONCLUSION #
2
20. PROBLEM #
2
Small RNA library preparation has historically
required PAGE gel purification due to the
presence of adapter-dimer products
24. The NEXTflex Small RNA-Seq Kit v3 uses
a dual approach to substantially reduce
adapter-dimer formation, allowing gel-free
purification of final libraries
25. Gel-free libraries prepared with the
NEXTflex Small RNA-Seq Kit v3 have
a higher proportion of reads mapping
to miRNAs
26. Figure 5. Percent of total reads aligned to miRBase in gel-free libraries
created from 100 ng human brain total RNA input.
0
10
20
30
40
50
60
70
Bioo-100 ng Bioo- 10 ng
%miRBasealigned
Overall alignment rate% miRBase alignment
NEXTflex NEB
70
60
50
40
30
20
10
0
32. PCR bias adds negligible bias to
small RNA libraries
33. Correlation of miRNA expression
demonstrates negligible bias added by
additional PCR cycles
PCR Cycles 12 16 20 24 28
12 1 0.9999 0.9994 0.9966 0.9807
16 1 0.9996 0.9970 0.9813
20 1 0.9975 0.9824
24 1 0.9816
28 1
Table 1. Correlation of miRNA abundance in libraries created using serial 10x dilutions
of cDNA and the indicated number of PCR cycles. The Pearson correlation coefficients
calculated from the Log10(reads) values of miRNAs with ≥ 10 reads in all samples are shown
34. Published data shows that additional
PCR cycles add negligible bias
to small RNA libraries
Jayaprakash, A.D., et al., Identification and remediation of biases in the activity of
RNA ligases in small-RNA deep sequencing. Nucleic Acids Res, 2011. 39(21): p. e141.
Hafner, M., et al., RNA-ligase-dependent biases in miRNA representation in deep-
sequenced small RNA cDNA libraries. RNA, 2011. 17(9): p. 1697-712.
35. Expression values are reproducible across
different sample inputs
Figure 6. Correlation of miRNA expression between samples created with 100 ng and 10 ng
of human brain total RNA with the NEXTflex Small RNA-Seq kit v3. The Pearson correlation
coefficient is shown.
1
1.5
2
2.5
3
3.5
4
4.5
5
1 1.5 2 2.5 3 3.5 4 4.5 5
Log10(reads)100ng
Log10(reads) 10 ng
100 ng vs 10 ng100 ng vs 10 ngLog10(reads)100ng
Log10(reads) 100 ng
5
4.5
4
3.5
3
2.5
2
1.5
1
1 1.5 2 2.5 3 3.5 4 4.5 5
R = 0.964
37. Enhanced reduction of adapter-dimer
formation allows library preparation
from as little as 1 ng of total RNA
CONCLUSION #
4
38. The NEXTflex Small RNA-Seq Kit v3 is the
only commercially available kit that includes
randomized adapters to reduce bias and
allows gel-free or low-input library prep
39. NEXTflex™ Small RNA-Seq Kit v3
(Illumina® Compatible)
• 48 unique barcodes for multiplexing included with 48 reaction kit
• 8 reaction kit includes barcodes that allow low-level multiplexing