SureSeq™ Myeloid Panel
A 25-gene myeloid disorders hybridisation-based NGS enrichment panel with complimentary SureSeq Interpret Software that delivers accurate and easy identification of variants.
The SureSeq Myeloid Panel delivers:
- Most up-to-date content designed in collaboration with recognised cancer experts — detect SNVs and indels in 25 genes implicated in a variety of MPNs
- Time and cost saving solution — replace multiple single gene assays with one comprehensive panel
- Sensitive and reproducible variant detection even in heterogeneous samples — detect low-frequency alleles down to 1% MAF with confidence
- Fast and easy workflow — streamlined library preparation, rapid hybridisation and intuitive software allowing easy variant analysis
- Excellent coverage uniformity — 99% of targeted regions are covered to at least 20% of mean target coverage
We were delighted with the performance of the SureSeq panel. It showed complete concordance with our other techniques, detecting all known mutations with excellent sensitivity down to 1% [MAF (minor allele frequency)], including, in one case, a JAK2 V617F mutation which was not detected by ddPCR due to a second mutation under the primer. The panel also demonstrated mutations in other genes in samples with low level JAK2 V617F and good correlation between allele frequencies and quantitative analysis by ddPCR. We are planning to adopt the panel in the near future." Anna Skowronska, Research and Development Scientist at West Midlands Regional Genetics Laboratory, Birmingham, UK
Most up-to-date content designed in collaboration with recognised cancer experts
Myeloproliferative neoplasms (MPNs) are a group of diseases that affect normal blood cell production in the bone marrow resulting in overproduction of one or more cell types (i.e. red cells, white cells or platelets). There are numerous different sub-types of MPNs that are distinguished from each other by the type of cell which is most affected and the genetic profile. The SureSeq Myeloid Panel targets selected key genes known to contain driver mutations for a range of MPNs including polycythaemia vera (PV), essential thrombocythaemia (ET) and myelofibrosis (MF). The gene content has been defined with input from recognised cancer experts including Professor Mike Griffiths (West Midlands
Regional Genetics Laboratory, UK) and Professor Nick Cross (National Genetics Reference Laboratory – Wessex, UK) (Table 1). To obtain the optimal sensitivity whilst maximising throughput, we have targeted hot exons where clinically relevant mutations are known and every exon for tumour suppressor, hereditary and highly implicated research-related genes. This allows for detection of previously characterised as well as novel variants in myeloid samples.
Table 1: The SureSeq Myeloid Panel targets 25 genes implicated in a variety of MPNs.
Time and cost saving solution
Genetic analysis of single nucleotide variants (SNVs) and indels in myeloid-implicated genes is a reliable way of distinguishing between different subtypes of MPNs. Instead of assaying for single genes in a sequential manner, the mutational status of 25 genes can be rapidly and simultaneously determined with the use of the SureSeq Myeloid Panel. This approach therefore offers both a time and cost-effective solution.
Sensitive and reproducible variant detection even in heterogeneous samples
Heterogeneous cancer samples pose significant challenges as alleles are likely to be present at a lower fraction than what would be expected for standard germline variants. Samples typically contain a mixture of cancer and normal cells; moreover, cancer can consist of several molecularly distinct clones. In order to detect alleles that contribute only a small percentage to the reads at any locus, a highly uniform and sensitive enrichment is required. The SureSeq Myeloid Panel has been validated with samples from the National Institute for Biological Standards and Control (NIBSC) and has been shown to accurately detect alleles down to 1% minor allele fraction (MAF) at a read depth of >1000x (Table 2).
|NIBSC JAK2 V617F Sample||% variant detected||Wild type reads||Variant reads||95% confidence intervals|
|10%||13.6||1443||227||12 - 15.3|
|5%||7.1||1180||90||5.8 - 8.6|
|1%||1.6||1504||24||1.1 - 2.3|
|0.10%||0.6||1380||8||0.3 - 1.1|
|0%||0.0||1630||0||0.0 - 0.2|
Table 2: Data generated from 24 samples run on an Illumina MiSeq®. The SureSeq Myeloid Panel allowed the detection of alleles at 1% sensitivity with high confidence (95% confidence interval 1.1 – 2.3%).
A typical laboratory workflow might be to pool and run 24 samples in a single Illumina MiSeq lane. The SureSeq Myeloid Panel can reliably and routinely detect somatic mutations down to 1% MAF under these conditions at the following sites of interest in MPNs:
- JAK2 (exon 12 – AAs 536-547)
- JAK2 (V617F)
- MPL (W515)
- CALR (exon 9 indels)
- KIT (D816V)
- TET2 (R550)
Analysis in clinical research samples has shown that the panel is able to reliably detect not only SNVs but also deletions of up to 52 bp, which are particularly informative in the CALR gene (Table 3).
|Sample||Known mutation||Mean target coverage||% MAF detected|
|Sample 1||52 bp del in CALR exon 9||2351||23%|
|Sample 2||52 bp del in CALR exon 9||1315||8.3%|
|Sample 3||JAK2 V617F||1500||34%|
|Sample 4||JAK2 V617F||1254||11%|
Table 3: The SureSeq Myeloid Panel generated data concordant with previous findings. Data obtained using the panel on clinical research samples containing known CALR and JAK2 mutations. 24 samples were run on a MiSeq lane using 500 ng input DNA. Samples provided by the National Genetics Reference Laboratory – Wessex, UK.
Fast and easy workflow
Hybridisation-based enrichment is now well recognised as providing superior results over amplicon-based enrichment technology. To date, the protocol has required more DNA and the library preparation procedure has been longer and more complex. In combination with the OGT SureSeq Library Preparation Kit, these issues have been addressed. There are fewer hands-on steps, turnaround times have been significantly improved, and the panel has been optimised to work with as little as 500 ng of genomic DNA derived from whole blood.
SureSeq Interpret Software — OGT’s powerful, standalone data analysis package — is provided free with the SureSeq Myeloid Panel and allows the conversion of FASTQ files into an intuitive interactive report. The user-friendly report makes it easy to set up complex filtering rules with multiple parameters.
Figure 1: The SureSeq Interpret Report enables simple and rapid identification of meaningful results.
Variants are fully annotated with links to various databases (e.g. dbSNP, COSMIC, Genecards and OMIM) providing results in context. Each variant can be reviewed in the Integrative Genomics Viewer (IGV) from the Broad Institute (Figure 2).
Figure 2: Fast visual confirmation of variants using IGV from the Broad Institute.
Excellent coverage uniformity
Enrichment assay optimisation is a crucial step in ensuring accuracy and sensitivity of targeted sequencing. Where regions are poorly enriched, they will generate fewer sequencing reads. If a variant falls into a region that is not covered at all, or covered by only a few reads, that variant is likely to be missed. OGT’s expert bait design ensures efficient and more uniform capture of all targeted regions, so that all variants present can be called with maximum confidence. This has been demonstrated on the CALR gene, which is commonly mutated in various MPNs. It is critical to identify key CALR indels (types 1 & 2 causing a frameshift) as well as increasingly recognised point mutations in this gene. The SureSeq Myeloid Panel delivers superior performance to panels designed using standard algorithms by ensuring uniform coverage over the regions of interest (Figure 3).
Figure 3: OGT’s expert bait design delivers improved uniformity of coverage. The image shows exon 9 of CALR. The top two captures have been completed using baits designed with standard commercially available software. They have a considerable dip in coverage in the middle of the exon due to the fact it presents a low complexity region with low nucleotide diversity. Most algorithms would want to avoid such regions in the design. However, OGT’s superior bait design can increase the evenness of coverage of such regions.
To find out how OGT's SureSeq Myeloid Panel and complimentary SureSeq Interpret software can make the analysis of myeloid samples simple watch this short video:
|SureSeq Myeloid Panel (16 reactions)||Enrichment baits sufficient for 16 samples; SureSeq Interpret Software||600075||Get a quote|
|SureSeq Myeloid Panel (96 reactions)||Enrichment baits sufficient for 96 samples; SureSeq Interpret Software||600076||Get a quote|
|SureSeq NGS Library Preparation Complete Solution (16)||Bundle of 1x SureSeq library preparation kit (16), containing adaptors, PCR primers and enzymes, 1x SureSeq NGS Index Kit – Collection A, 1x SureSeq Hyb & Wash Kit (16), 1x Dynabeads M270 Streptavidin (2ml) and 1x AMPure XP beads (10ml). Sufficient for 16 samples||500084||Get a quote|
|SureSeq NGS Library Preparation Complete Solution (48)||Bundle of 3x SureSeq NGS Library Preparation Kit (16), containing adaptors, PCR primers and enzymes, 1x SureSeq NGS Index Kit – Collection B, 3x SureSeq NGS Hyb & Wash Kit (16), 3x Dynabeads M270 Streptavidin (2ml) and 3x AMPure XP beads (10ml). Sufficient for 48 samples||500085||Get a quote|
|SureSeq NGS Library Preparation and Hyb & Wash Kit (16)||Bundle of 1x SureSeq NGS Library Preparation Kit (16), containing adaptors, PCR primers and enzymes, 1x SureSeq NGS Index Kit – Collection A and 1x SureSeq Hyb & Wash Kit (16). Sufficient for 16 samples||500082||Get a quote|
|SureSeq NGS Library Preparation and Hyb & Wash Kit (48)||Bundle of 3x SureSeq NGS Library Preparation Kit (16), containing adaptors, PCR primers and enzymes, 1x SureSeq NGS Index Kit – Collection B and 3x SureSeq Hyb & Wash kit (16). Sufficient for 48 samples||500083||Get a quote|
|SureSeq NGS Library Preparation Kit (16)||Bundle of 1 x library preparation kit (16), containing adaptors, PCR primers and enzymes sufficient for 16 samples and 1 x SureSeq NGS Index Kit – Collection A||500070||Get a quote
|SureSeq NGS Library Preparation Kit (48)||Bundle of 3 x library preparation kit (16), containing adaptors, PCR primers and enzymes sufficient for 48 samples and 1 x SureSeq NGS Index Kit – Collection B||500073||Get a quote
|SureSeq NGS Hyb & Wash Kit (16)||Hybridisation buffer, Wash buffer, Cot and blocking oligos. Sufficient for 16 samples||500075||Get a quote|
|SureSeq NGS Hyb & Wash Kit (48)||Bundle of 3x SureSeq NGS Hyb & Wash Kit (16), containing Hybridisation buffer, Wash buffer, Cot and blocking oligos. Sufficient for 48 samples||500086||Get a quote|
|SureSeq NGS Index Kit - Collection A (16)||16 different indexes, each sufficient for 4 samples [included with SureSeq NGS Library Preparation Kit (16)]||500071||Get a quote
|SureSeq NGS Index Kit - Collection B (48)||48 different indexes, each sufficient for 4 samples [included with SureSeq NGS Library Preparation Kit (48)]||500072||Get a quote|
|Dynabeads™ M270 Streptavidin, 2ml||Sample capture beads, sufficient for 20 samples||500080*||Get a quote|
|AMPure® XP beads, 10ml||Sample purification beads, sufficient for 16 samples||500081*||Get a quote|
* Only for use with SureSeq NGS panels
SureSeq myPanel™ NGS Custom Cancer Panels Full Gene List
We now have 120 genes available for our SureSeq myPanel NGS Custom Cancer Panels. View and download a complete list of available cancer gene content.
The importance of enrichment assay choice and optimisation for confident variant detection
This white paper discusses the main strategies employed to optimise the enrichment step, depending on the type of assay chosen.
The role of NGS in stratified cancer medicine
In this white paper, two Clinical Scientists, Dr Matthew Smith and Dr George Burghel, share their views on the use of NGS in cancer genomics and its integration into the laboratory.
Understanding myeloid disorders with next-generation sequencing
How OGT’s SureSeq™ Myeloid Panel helps researchers identify and decipher the complex genetic origins of myeloproliferative disorders
SureSeq myPanel™ NGS Custom AML Panels
SureSeq myPanel™ NGS Custom Cancer Panels
SureSeq™ Core MPN Panel
SureSeq™ Myeloid Panel
SureSeq™ NGS Library Preparation Kit
An integrated approach to profiling haematological disorders
For accurate detection of all types of genetic aberrations, various technologies are used. View OGT's integrated portfolio of products that allow the accurate analysis of haematological disorders.
An integrated approach to tumour profiling
Various technologies are available to study the mutations that cause cancer, but none is capable of accurate detection of all types of genetic aberrations. View OGT's integrated portfolio of products that allow the accurate analysis of solid tumours.
Optimised, 1-day hybridisation-based NGS protocol yields 1% variant detection in MPN samples, as quickly and cost-effectively as multiplex PCR
Presented at AMP 2016, this poster outlines how the SureSeq™ Core MPN Panel can accurately detect alleles down to 1% variant allele fraction (VAF) in JAK2 (V617F) at a read depth of >1000x, facilitating reliable detection.
The accurate detection by next-generation sequencing (NGS) of difficult to sequence genes (CALR, CEBPA, FLT3) associated with myeloid disorders using a hybridisation-based enrichment approach
Presented at CGC 2017, this poster highlights the excellent uniformity of coverage obtained from the hybridisation-based enrichment using the SureSeq myPanel NGS Custom AML Panel.
The analysis of myeloproliferative neoplasm samples using a rapid (30 minute) hybridisation-based enrichment protocol for next-generation sequencing (NGS)
Presented at the CGC 2017 annual summer meeting in Denver, USA, this poster illustrates the excellent quality data generated by the OGT 1-day hybridisation-based SureSeq LPK protocol in combination with the SureSeq Core MPN Panel.
The application of a hybridisation-based next-generation sequencing (NGS) enrichment panel for the analysis of key genes involved in ovarian and breast tumours using DNA from FFPE samples
The application of a hybridisation-based NGS enrichment panel for the analysis of somatic variants in tumour samples and reference standards
Presented at AGT 2017, this poster outlines the application of a hybridisation-based NGS enrichment panel for the analysis of solid tumour somatic variants, demonstrating 100% concordance in variant detection in both genomic and formalin-compromised DNA.
The application of a one-day hybridisation-based enrichment protocol for NGS incorporating a rapid (30 minute) hybridisation step
Presented at AGT 2017, this poster outlines how OGT has optimised a one-day hybridisation-based enrichment protocol for NGS incorporating a rapid 30 hybridisation step.
The use of a hybridisation-based NGS enrichment panel for the confident identification of a broad range of low frequency variants from as little as 50ng of challenging clinical research FFPE samples
Presented at AMP 2016, this poster outlines how the SureSeq FFPE DNA Repair Mix significantly improves NGS library yields, with an increase of mean target coverage (increased by >2.2 fold), resulting in more meaningful data.
Evaluation of enzymatic DNA digestion as an alternative to mechanical DNA fragmentation (sonication) for targeted NGS using the SureSeq™ Myeloid Panel
DNA fragmentation is a crucial first step in the preparation of libraries for NGS. In this application note, Oxford Gene Technology has evaluated an alternative method of fragmentation using the NEBNext® dsDNA Fragmentase®.
Improving experimental reproducibility through automated hybridisation-based NGS library preparation
In this application note, an Agilent Bravo A Automated Liquid Handling Platform was configured to run the SureSeq NGS library preparation protocol. The results demonstrate marked improvement not only in hands-on-time, but also a number of quality metrics
Selecting the best NGS enrichment assay for your needs
With NGS now in routine use for a broad range of research and clinical applications, this application note details the value of making the correct choice for the initial sequence enrichment step.