November 1, 2018
Shanghai New International Expo Centre
Room M16, Hall E1 (2nd floor)
The theme of the conference:
High-throughput sequencing technology and application
English or Chinese
High-throughput Sequencing Technology and Application
|Time||TopicNew Developments in NGS sample Quality Control – from FFPE RNA to cell-free DNA||Guest|
Agilent Technologies | Global Product Manager, Biomolecular Analysis Division
Rainer Nitsche, Global Product Manager, Biomolecular Analysis Division of Agilent. Rainer is based in Waldbronn, Germany. He is responsible to market the next generation TapeStation instrumentation. His background is chemistry as well as biochemistry. He received his PhD from the faculty of Biochemistry at University of Karlsruhe, Germany.
New Developments in NGS sample Quality Control – from FFPE RNA to cell-free DNA
Over the past years, Next Generation Sequencing (NGS) developed to a powerful tool in almost all genetic research and diagnostic areas. Key for the success of any NGS experiment is the quality control (QC) of source RNA and DNA samples as well as generated libraries. Most library preparations remain lengthy and therefore are expensive processes. Tight QC steps are required to avoid a “garbage in-garbage out” situation. The ideal NGS QC solution is easy-to-use, economical and provides fast and unambiguous results also for very low concentrated samples. One way to ensure that samples are “fit for purpose” is to apply a separation by automated electrophoresis followed by fluorescence detection and automatic data analysis. This talk covers the latest developments in the area of NGS sample QC and gives application examples.
Cell-free DNA (cfDNA), extracted from blood specimens (“liquid biopsies”) or other body fluids, gain more and more importance in the context of cancer research and prenatal testing. Accurate quantification of cfDNA samples is essential to determine suitable input amounts for cfDNA library preparation prior to sequencing. Dependent on preanalytical sample treatment or extraction method, cfDNA samples may contain larger DNA fragments e.g. genomic DNA contaminations. High molecular weight material can negatively influence library preparation and subsequently result in lower sequencing depth. Different examples for cfDNA samples will be shown and data will be discussed.
GMINIX | CEO
Shanghai Biotechnology Corporation | Product Manager
New England Biolabs (Beijing) LTD. | Operation Director
Next generation sequencing continues to revolutionize genomic research. Lower input material and higher throughput requirements are ever growing demands for library preparation methods used to study the genome and transcriptome. Highly streamlined, efficient, robust and reliable methods are required to ensure high quality data generation, including high yields, high coverage, low GC bias, and sensitivity.
To address these challenges, we continue to develop a broad range of solutions for sample preparation using multiple sample types. These include a novel enzymatic DNA fragmentation reagent incorporated into DNA library preparation workflow that uses a single time-dependent protocol, regardless of input amount and GC content. This reliable fragmentation reagent is also combined with end repair and dA-tailing agents, thereby eliminating the need for equipment to shear DNA, and reducing the number of sample transfers and losses. Adaptor ligation is also carried out in the same tube, followed by a single cleanup step. For low input samples, PCR amplification is performed prior to sequencing. These optimizations enable a more streamlined, automation friendly workflow using low input DNA without compromising on data quality.
RNA sequencing (RNA-seq) has become the tool of choice for transcriptome profiling and discovery. To meet the need for RNA library construction methods that produce high quality, reproducible libraries from small amounts of precious material we have developed two streamlined RNA-seq library preparation methods that can be used across a wide range of input RNA, from single cells to a microgram of total RNA. Sequencing data from these methods show that important parameters such as GC content, gene body coverage and gene expression correlation remain consistent across input amounts. As a result, these methods have increased sensitivity and specificity for low-abundance transcripts, and reduced PCR duplicates and sequence bias, delivering high quality data.
Combined, these advances enable higher performance with lower inputs, and overall a wider range of sample types and qualities.
Geno Biotech (China) Co., Ltd. | Chief Medical Officer
NAOBIO CO., LTD | Chairman
Shanghai Center for Systems Biomedicine Shanghai Jiao Tong University | Professor
Due to limited seats for the meeting room, pre-registration is strongly recommended.