Optimizing FFPE DNA preparation for use in SureSelect XT2

Similar documents
SureSelect XT HS. Target Enrichment

Impact of gdna Integrity on the Outcome of DNA Methylation Studies

Implementation of Automated Sample Quality Control in Whole Exome Sequencing

Detection of Rare Variants in Degraded FFPE Samples Using the HaloPlex Target Enrichment System

SURESELECTXT LOW INPUT TARGET ENRICHMENT

High-yield, Scalable Library Preparation with the NEBNext Ultra II FS DNA Library Prep Kit

Functional DNA Quality Analysis Improves the Accuracy of Next Generation Sequencing from Clinical Specimens

DNA concentration and purity were initially measured by NanoDrop 2000 and verified on Qubit 2.0 Fluorometer.

Welcome to the NGS webinar series

Get to Know Your DNA. Every Single Fragment.

MagMAX FFPE DNA/RNA Ultra Kit

Gene Expression Profiling and Validation Using Agilent SurePrint G3 Gene Expression Arrays

Next-generation sequencing technologies

Next Generation Sequencing. Target Enrichment

Tech Note. Using the ncounter Analysis System with FFPE Samples for Gene Expression Analysis. ncounter Gene Expression. Molecules That Count

ACCEL-NGS 2S DNA LIBRARY KITS

Application Note. Genomics. Abstract. Authors. Kirill Gromadski Ruediger Salowsky Susanne Glueck Agilent Technologies Waldbronn, Germany

TECH NOTE Stranded NGS libraries from FFPE samples

SureSelect Target Enrichment for the Ion Proton TM Next Generation Sequencing System

Quality Control in Illumina Sequencing Workflows Using the TapeStation System

Incorporating Molecular ID Technology. Accel-NGS 2S MID Indexing Kits

Cancer Genetics Solutions

Analysis of DNA sequence copy number in archival formalin-fixed, paraffinembedded. Dione K. Bailey Anniek De Witte October 9, 2007

Accessible answers. Targeted sequencing: accelerating and amplifying answers for oncology research

G E N OM I C S S E RV I C ES

Integrated NGS Sample Preparation Solutions for Limiting Amounts of RNA and DNA. March 2, Steven R. Kain, Ph.D. ABRF 2013

KAPA hgdna QUANTIFICATION AND QC KIT:

KAPA RNA HyperPrep Workflow: Recommendations and Expectations for RNA-sequencing Using Degraded Inputs

solid S Y S T E M s e q u e n c i n g See the Difference Discover the Quality Genome

1. COMPONENTS. PyroStart Fast PCR Master Mix (2X) (#K0211 for 250 reactions of 20µl) 2. STORAGE 3. DESCRIPTION

The New Genome Analyzer IIx Delivering more data, faster, and easier than ever before. Jeremy Preston, PhD Marketing Manager, Sequencing

Lab methods: Exome / Genome. Ewart de Bruijn

EPIGENTEK. EpiNext DNA Library Preparation Kit (Illumina) Base Catalog # P-1051 PLEASE READ THIS ENTIRE USER GUIDE BEFORE USE

Your Best Data: Teaming QIAGEN Chemistry & Bioinformatics to Drive Samples to Insight

Surely Better Target Enrichment from Sample to Sequencer

ab High Sensitivity DNA Library Preparation Kit (For Illumina )

ab High Sensitivity DNA Library Preparation Kit (For Illumina )

Sample to Insight. Dr. Bhagyashree S. Birla NGS Field Application Scientist

A Systematic Approach to Optimize Real-Time Quantitative RT-qPCR Experiments with the Agilent 2200 TapeStation System

PAXgene Blood DNA PAXgene Blood DNA Tube (IVD) for clinical use PAXgene Blood DNA System (RUO) for research use. Explore more at

QPCR ASSAYS FOR MIRNA EXPRESSION PROFILING

Single Cell Genomics

RAPID, ROBUST & RELIABLE

DNA Workflow. Marine Biological Laboratory. Mark Bratz Applications Scientist, Promega Corporation. August 2016

Ultra-Sensitive BRAF Mutation Detection Kit. User Manual

APPLICATION NOTE

Increase Sequencing Efficiency with the SeqCap EZ Prime Exome

HaloPlex HS. Get to Know Your DNA. Every Single Fragment. Kevin Poon, Ph.D.

Fragment Library Preparation

Lecture 7. Next-generation sequencing technologies

Increased transcription detection with the NEBNext Single Cell/Low Input RNA Library Prep Kit

High Throughput Sequencing the Multi-Tool of Life Sciences. Lutz Froenicke DNA Technologies and Expression Analysis Cores UCD Genome Center

SO YOU WANT TO DO A: RNA-SEQ EXPERIMENT MATT SETTLES, PHD UNIVERSITY OF CALIFORNIA, DAVIS

Introducing QIAseq. Accelerate your NGS performance through Sample to Insight solutions. Sample to Insight

Analytical verification methods for the Oncomine Lung cfdna Assay using the Ion S5 XL System

Evaluating the Agilent 4200 TapeStation System for High Throughput Sequencing Quality Control

NGS Sample QC with the Agilent 2200 TapeStation. Rainer Nitsche Application Engineer Agilent Technologies, Inc.

Target Enrichment Strategies for Next Generation Sequencing

Isolation of total nucleic acids from FFPE tissues using FormaPure DNA

Unique, dual-matched adapters mitigate index hopping between NGS samples. Kristina Giorda, PhD

NEBNext. for Ion Torrent LIBRARY PREPARATION KITS

Gene Regulation Solutions. Microarrays and Next-Generation Sequencing

Application Note Whole Transcriptome Sequencing from FFPE-derived RNA

RIPTIDE HIGH THROUGHPUT RAPID LIBRARY PREP (HT-RLP)

Surely Better Target Enrichment from Sample to Sequencer and Analysis

DNA. bioinformatics. genomics. personalized. variation NGS. trio. custom. assembly gene. tumor-normal. de novo. structural variation indel.

APPLICATION NOTE. Abstract. Introduction

CAPTURE-BASED APPROACH FOR COMPREHENSIVE DETECTION OF IMPORTANT ALTERATIONS

Genome Resequencing. Rearrangements. SNPs, Indels CNVs. De novo genome Sequencing. Metagenomics. Exome Sequencing. RNA-seq Gene Expression

New Frontiers of Genetic Profiling Achieve Higher Sensitivity and Greater Insights with Molecular Barcodes, Long Read Capture and Optimized Exomes

Experimental Design. Dr. Matthew L. Settles. Genome Center University of California, Davis

resequencing storage SNP ncrna metagenomics private trio de novo exome ncrna RNA DNA bioinformatics RNA-seq comparative genomics

A more efficient, sensitive and robust method of chromatin immunoprecipitation (ChIP)

Shipping Samples for Extraction - Ensuring Sample Quantity and Quality

Considerations for Illumina library preparation. Henriette O Geen June 20, 2014 UCD Genome Center

Access Array BRCA1 / BRCA2 / TP53 Target-Specific Panel Build the highest quality amplicon libraries with qualified assays

Whole Genome, Exome, or Custom Targeted Sequencing: How do I choose? Aaron Thorner, PhD Clinical Genomics Group Leader

TRANSCRIPTOME SEQUENCING. RNA sequencing solutions. Simple, fast, and affordable. PG1595-PJT1209-COL11768-Ion-RNA-Expressions-Updates-Global.

DNA. Clinical Trials. Research RNA. Custom. Reports CLIA CAP GCP. Tumor Genomic Profiling Services for Clinical Trials

Low input RNA-seq library preparation provides higher small non-coding RNA diversity and greatly reduced hands-on time

HALOPLEX PCR TARGET ENRICHMENT & LIBRARY PREPARATION PROTOCOL. Version 1.0.3, April 2011 For research use only

Automating FFPE Samples from Extraction to NGS Library Preparation. NGS Workflow Solution APPLICATION NOTE. Authors: Guillaume Durin Vanessa Process

ab Post-Bisulfite DNA Library Preparation Kit (For Illumina )

Illumina s Suite of Targeted Resequencing Solutions

SMARTer Ultra Low RNA Kit for Illumina Sequencing Two powerful technologies combine to enable sequencing with ultra-low levels of RNA

Ultra-sensitive Cancer Liquid Biopsy Analysis with the Agilent SureSelect Target Enrichment Workflow

truxtrac FFPE DNA microtube Kit for chemagen Technology (24) For use with the Chemagen Prepito-D Automation Platform

Precipio, Inc. Instructions for Use. BRAF Exon 15 Mutation Analysis using ICE COLD- PCR for Detection with High Resolution Melting

QIAGEN s Preanalytic NGS Solutions

Deep Sequencing technologies

SOLiD Total RNA-Seq Kit SOLiD RNA Barcoding Kit

Performance Characteristics drmid Dx for Illumina NGS systems

TECH NOTE Pushing the Limit: A Complete Solution for Generating Stranded RNA Seq Libraries from Picogram Inputs of Total Mammalian RNA

Introduction to RNA-Seq in GeneSpring NGS Software

SEQUENCING FROM SAMPLE TO SEQUENCE READY

Precipio, Inc. Instructions for Use. PIK3CA Exon 9 Mutation Analysis using ICE COLD-PCR for Detection with High Resolution Melting

Molecular Diagnostics OEM and Commercial Supply Services. Your partners for success

Single Cell Genomics

Introduction The molacular targets are required rigorous molecular diagnostic methods owing to the fact that the therapy drive at a molecule for examp

APPLICATION NOTE

Transcription:

Optimizing PE DA preparation for use in SureSelect X2 Focus on the extraction of tumor-derived DA and preparation of target-enriched libraries for next generation sequencing Application ote For Research Use Only Authors Julia Barboza, Maria-Celeste Ramirez, Barbara ovak, Angelica Giuffre, and Scott Happe Abstract Massively parallel sequencing technologies enable scientists to discover rare mutations, structural variants, and novel transcripts at an unprecedented rate. With this technology, sensitive detection and identifi cation of even low-frequency alleles in highly heterogeneous samples can be done with confi dence. he Agilent SureSelect platform provides a fast, cost-effective, and accurate approach to target specifi c genomic regions for downstream sequencing analysis. he SureSelect X2 kit streamlines the sample preparation protocol for multiplexed sequencing, greatly reducing cost per sample, input requirements, and hands-on time. With the sensitivity offered by next-generation sequencing in tandem with focused resequencing enabled by SureSelect, researchers are now looking to interrogate highly heterogeneous archival samples which used to be a challenge for Sanger sequencing. his interest is spurred by the potential to detect low frequency variants that could be associated with disease progression and response to treatment. Often, research specimens that become invaluable to this type of study are derived from archived tissues that contain limited and/ or damaged DA content. o illustrate the utility of the SureSelect X2 protocol using these valuable archival sources, we demonstrate excellent performance with formalin-fi xed, paraffi n-embedded (PE) samples using two commercially available PE DA extraction kits. While the two preparation methods produce DA of different relative yield and quality, sequencing results, enrichment metrics, and library complexity are comparable between the kits, even when starting with nanogram quantities of DA. Our studies highlight the robustness of the SureSelect X2 arget Enrichment System and its utility in preparing DA from archived material that may be damaged or present in limited quantities.

Introduction he SureSelect X2 library preparation protocol enables faster and easier GS library preparations. o broaden its application, we describe an optimized protocol for processing genomic DA (gda) extracted from PE tissues. issue banks throughout the world provide an abundance of normal and diseased tissue samples for research studies. Archived PE samples offer the ability to analyze large numbers of tissues of diverse origins and conditions, allowing strategic comparisons that are not possible with fresh samples. Unfortunately, DA in PE samples is prone to damage through the fi xation process and prolonged storage. Extraction of suffi cient amounts of high-quality gda from PE blocks is critical to its successful analysis in downstream applications such as SureSelect. In this Application ote, we compare next-generation sequencing performance of PE gda extracted using either the QIAamp DA PE issue Kit (P/: 56404) or the (Life echnologies) RecoverAll otal ucleic Acid Isolation Kit (P/: AM 1975). We highlight relevant quality control metrics and parameters that contribute to the success of SureSelect target enrichment experiments with PE-derived DA. his information can be used to guide and troubleshoot experiments. Materials and Methods Preparation of gda PE blocks comprised of fi ve different tissue types (breast, colon, lung, ovary, and stomach), containing primary tumor or adjacent normal tissue (able 1), and matched fresh-frozen () tissue samples, were purchased from Cureline. For each PE sample, two to four 10 µm sections were cut from each paraffin block using a microtome, combined, and weighed. Samples were then processed according to the QIAamp PE issue kit () or RecoverAll otal ucleic Acid kit (Life echnologies) specifi cations. For samples, tissues were mechanically dissociated in liquid nitrogen, and weighed. Frozen tissue was then processed according to the QIAamp DA mini kit () or PureLink Genomic DA Mini kit (Life echnologies) specifi cations. DA was quantifi ed using a Qubit fl uorometer and Qubit Quant-i dsda BR Assay Kit (Invitrogen) according to the manufacturer s recommendations. DA quality was assessed by anodrop measurement of 260/280 ratio. able 1. Starting material Sequencing Library Preparation DA libraries were prepared according to the SureSelect X2 protocol. Briefl y, 1 µg of Qubit-quantifi ed PE,, or gda (Coriell) was used as starting material. For PE samples whose total yield was less than 1 µg, the entire volume of extracted DA was used in the shearing step. Samples were individually indexed, and amplifi ed using 6-9 cycles of PCR. Indexed samples (~107 ng each) were then pooled into 4 sets of 14 (1500 ng total per pool) before hybridization with the SureSelect Kinome capture library (P/: 5190-2947). Captured libraries were then sequenced on an Illumina HiSeq2000 instrument. Data Analysis Sequence data was demultiplexed with CASAVA 1.8.2 and aligned using BWA 0.5.9, generating ~6x10 6 high-quality reads per sample, with the exception of a few outliers with fewer reads. An internally-developed pipeline was used to generate target enrichment metrics. Sample o. Clinical Diagnosis Date of Procurement Anatomical Site Sex 1 Gastric cancer 6/26/07 Stomach (fundus) M 2 Ovarian cancer 9/2/09 Ovary F 3 Colorectal carcinoma (CRC) 9/24/10 Ascending colon M 4 Breast cancer 2/25/10 Breast F 5 Lung cancer 12/2/09 Lung F 2

Results Yield and Purity of PE-Derived Genomic DA We compared two commercially available DA extraction kits from or /Lifeechnologies for the production of sequence-quality gda from PE samples. Both methods were performed according to the manufacturer s recommendations. Using a panel of fi ve different PE tissue blocks, we found that the total DA yield was distinct between the two methods (able 2 ). he total yield of DA using the kit was higher compared to the kit for all samples, and was as much as 15-fold higher for one sample. Moreover, the two preparations differed in the 260/280 ratio of the fi nal product. he 260/280 ratio is used to assess nucleic acid purity. DA produced with the kit had an average 260/280 ratio of 2.0 while that of the samples was 1.8. In general, a ratio >1.8 is indicative of pure nucleic acid. A decreased ratio usually indicates protein carryover or organic contamination from the extraction process. DA integrity was also assessed by running the samples on an agarose gel [data not shown]. For all samples assayed, fragmentation was found to be at a minimum with majority of the DA having a size of 500 bp or higher, rendering it suitable for Covaris shearing as recommended in the SureSelect X2 protocol. Of note, treatment of samples with repair enzymes using commercially available kits (ew England Biolabs or Sigma) did not appreciably improve yields or quality of downstream sequencing data [data not shown]. able 2. PE sample yield and purity RecoverAll otal ucleic Acid kit QIAmp PE kit issue origin issue type Conc. (ng/µl) 260/280 Conc. (ng/µl) 260/280 Gastric Breast CRC Lung Ovary 27.16 1.78 50.81 1.94 35.58 1.79 214.29 1.91 4.64 1.95 13.02 2.05 25.11 1.88 84.86 1.96 14.97 1.81 48.56 2.00 88.33 1.80 138.37 1.96 2.50 1.66 27.68 2.07 3.52 1.76 32.76 2.02 29.14 1.84 58.38 2.04 5.34 1.75 85.14 1.94 3

Sureselect X2 Capture and Sequencing Results o test the utility of PE-derived DA for target enrichment, we prepared libraries with the SureSelect X2 kit, performed captures, and sequenced on the HiSeq2000 (able 3). We compared results obtained from PE DA to and controls. Overall, mean performance as determined by multiple key target enrichment metrics was equivalent for all samples, regardless of extraction method, storage condition, or tissue type. he percentage of reads that mapped to target regions was approximately 50% for PE,, and samples (Figure 1). After normalization to 3 million reads, on average, there was no appreciable difference in the per-base coverage between PE and control samples or in the uniformity of coverage (Figure 2). he two coverage outliers can be attributed to a substantially reduced read output for these particular samples, resulting in fewer than the 3 million reads to which the other samples were normalized (see Figure 3A). Importantly, even with as low as 0.12 µg of gda input, the SureSelect X2 workflow effectively enriched for targets of interest and provided high-quality sequencing results. here was generally more variation between individual PE samples, as compared to samples across multiple sequencing metrics (standard deviations between PE samples were 2-fold or greater than that of samples). In addition, the total number of high-quality, uniquely mapped reads (before normalization) for PE samples was generally lower (~50 %) than that of or samples (not shown). A few outliers with signifi cantly fewer reads were present (as shown in Figure 3A, even after normalization). Interestingly, a reduced number of mapped reads did not correlate with starting input amount as some samples with a ~10-fold difference in starting material had similar numbers of mapped reads. Likely due to reduced library complexity, PE samples had an increased percentage of duplicate reads ranging from 4% to 14% while control samples remained below 4% (Figure 3B). able 3. Library Preparation, Hybridization, and Capture PE otal # of Samples 34 20 2 56 Input Amount (µg) 0.12 1.00 1.00 1.00 Pre-capture PCR concentration (ng/µl) 2.46 24.98 13.70 22.70 21.83 24.79 # of pre-capture pools 4 # indeces per pool 14 Input for Hybridization (ng) 107.14 12.78 Post-capture PCR concentration (ng/µl) 8.27 6.12 6.53 4

% On-arget 80.00% 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 10.00% 0.00% A19238 A19240 PE Figure 1. he percentage of on-target reads was similar between all samples regardless of origin, fi xation procedure or extraction method (, normal;, tumor). A 10X Coverage 100.00% 90.00% 80.00% 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% A19238 A19240 PE B Uniformity (1/2 mean with upper tail) 80.00% 75.00% 70.00% 65.00% 60.00% 55.00% 50.00% 45.00% 40.00% 35.00% 30.00% A19238 A19240 PE Figure 2. A) Per base coverage was consistent between and samples, and only slightly more variable for PE samples. B) Uniformity of coverage varied only slightly between PE samples, but was comparable to matched and samples (, normal;, tumor). 5

A 3,500,000 otal HQ Unique Reads 3,000,000 2,500,000 2,000,000 1,500,000 1,000,000 500,000 0 PE A19238 A19240 B % Duplicates 16.00% 14.00% 12.00% 10.00% 8.00% 6.00% 4.00% 2.00% 0.00% A19238 A19240 PE Figure 3. A) he number of raw reads was normalized to 3 million followed by fi ltering for quality and uniqueness. PE samples had slightly reduced number of high quality, unique reads, on average, with the exception of a few outliers. B) Duplicate reads were elevated for PE samples as compared to and samples (, normal;, tumor). 6

Conclusions he SureSelect X2 protocol offers the benefi t of pre-capture sample pooling, reduced sample input requirements, and pre-combined master mixes for ease of use. SureSelect X2 is robust enough to effectively process samples starting from as little as ~120 ng of extracted gda, as long as enough adapter-ligated library can be generated for the hybridization step (e.g. ~100 ng per sample required for pools up to 16). Because of this pre-capture pooling procedure, SureSelect X2 requires the least amount of prepared library for any commercial target enrichment method, making it ideal for samples where input quantity is limited. Our data demonstrate that PE samples produce the same highquality enrichment as fresh-frozen and controls, maintaining equivalent percent on-target and uniformity. While we observe reduced read output and increased duplicate counts for PE samples, on average, per-base coverage remains similar to fresh-frozen and DA when normalized to the same number of reads. A few PE samples generating signifi cantly fewer high-quality reads may be attributable to inaccurate sample quantifi cation, undetectable DA damage, or other processing issues. In addition, mixing of highquality samples () with lower quality PE samples could result in bias during the hybridization and should generally be avoided. esting two commercially-available extraction kits indicates that any PE processing method is likely adequate as long as it produces DA with 260/280 ratios within the range tested here (1.7-2.1) and yields > ~0.1 µg. evertheless, as with any scientifi c procedure, data quality will certainly correlate with the initial quality of the procured sample. he likelihood for success using PE samples for SureSelect target enrichment experiments is enhanced by following specifi c sample quality control guidelines and triaging samples with particular red fl ags : Genomic DA extracts that differ signifi cantly from the expected 260/280 range (1.7-2.0) could indicate purity problems that will affect downstream sequencing. Elevated 260/280 ratios may also indicate damaged DA (singlestranded and/or excessively fragmented) that will be refractory to repair or adapter-ligation. he presence of abundant low molecular weight material (e.g. <500-1000 bp) in gda extracts, as observed on agarose gels, will affect yield and complexity of the resulting library, thereby reducing the effi ciency of capture and sequencing. Use of gda with a Qubit/anodrop concentration ratio < 0.35 should be avoided due to insuffi cient amount of double-stranded DA for successful library preparation. Additionally, a QC qpcr assay, as previously described 1, may be performed to predict performance. Accurate quantifi cation of samples pre- and post-enrichment is crucial to prevent bias during hybridization and to properly load the sequencing fl ow cell. Care should be taken when pooling high- and low-quality samples together. References 1. HaloPlex arget Enrichment from PE issues. Agilent Application ote Publication umber 5991-0666E, 2012. 7

Learn more about SureSelect X2 : www.agilent.com/genomics his item is not approved for use in diagnostic procedures. User is responsible for obtaining regulatory approval or clearance from the appropriate authorities prior to diagnostic use. Information is subject to change without notice. Agilent echnologies, Inc., 2012 Published in USA, August 13, 2012 Publication umber 5991-0960E