Eileen T. Dimalanta

An integrated semiconductor device enabling non-optical genome sequencing

The seminal importance of DNA sequencing to the life sciences, biotechnology and medicine has driven the search for more scalable and lower-cost solutions. Here we describe a DNA sequencing technology in which scalable, low-cost semiconductor manufacturing techniques are used to make an integrated circuit able to directly perform non-optical DNA sequencing of genomes. Sequence data are obtained by directly sensing the ions produced by template-directed DNA polymerase synthesis using all-natural nucleotides on this massively parallel semiconductor-sensing device or ion chip. The ion chip contains ion-sensitive, field-effect transistor-based sensors in perfect register with 1.2 million wells, which provide confinement and allow parallel, simultaneous detection of independent sequencing reactions. Use of the most widely used technology for constructing integrated circuits, the complementary metal-oxide semiconductor (CMOS) process, allows for low-cost, large-scale production and scaling of the device to higher densities and larger array sizes. We show the performance of the system by sequencing three bacterial genomes, its robustness and scalability by producing ion chips with up to 10 times as many sensors and sequencing a human genome.

Sequence and structural variation in a human genome uncovered by short-read, massively parallel ligation sequencing using two-base encoding

We describe the genome sequencing of an anonymous individual of African origin using a novel ligation-based sequencing assay that enables a unique form of error correction that improves the raw accuracy of the aligned reads to >99.9%, allowing us to accurately call SNPs with as few as two reads per allele. We collected several billion mate-paired reads yielding approximately 18x haploid coverage of aligned sequence and close to 300x clone coverage. Over 98% of the reference genome is covered with at least one uniquely placed read, and 99.65% is spanned by at least one uniquely placed mate-paired clone. We identify over 3.8 million SNPs, 19% of which are novel. Mate-paired data are used to physically resolve haplotype phases of nearly two-thirds of the genotypes obtained and produce phased segments of up to 215 kb. We detect 226,529 intra-read indels, 5590 indels between mate-paired reads, 91 inversions, and four gene fusions. We use a novel approach for detecting indels between mate-paired reads that are smaller than the standard deviation of the insert size of the library and discover deletions in common with those detected with our intra-read approach. Dozens of mutations previously described in OMIM and hundreds of nonsynonymous single-nucleotide and structural variants in genes previously implicated in disease are identified in this individual. There is more genetic variation in the human genome still to be uncovered, and we provide guidance for future surveys in populations and cancer biopsies.

Abstract 3620: Enhancing clinical utility of NGS with reduced bias, low DNA input, library construction

Early detection and diagnosis of cancer substantially increases the likelihood for successful treatment. Tools that aid in detecting and diagnosing cancer early, therefore, have the potential to greatly impact the clinical outcome for cancer patients. Next Generation Sequencing (NGS) has emerged as an important tool in this area. The technology is sensitive, fast and high throughput to allow sequencing of many samples at once. Unfortunately, many clinical samples go unanalyzed because they do not yield sufficient quantities of DNA to generate NGS libraries or the libraries generated require so many rounds of PCR amplification that they display extreme sequence bias. Bias not only hampers data analysis, but also increases costs by requiring excess sequencing to obtain sufficient coverage over all relevant genomic regions. To enable the increased use of NGS in the clinic and reduce the amount of sequence bias generated during library preparation, we have developed a PCR free library construction method that uses low quantities of DNA as input. As an initial test of the method, we generated PCR free libraries from 100ng, 50ng and 25ng of human genomic DNA. The libraries where pooled and sequenced on the Illumina NextSeq 500 instrument to approximately 10X coverage. All libraries, irrespective of input amount, showed minimal AT/GC bias and excellent coverage distributions, with most bases covered within 5X of the expected coverage depth. In addition, regions identified as difficult to sequence (Aird, D., et.al., 2011 and Ross, M. G., et.al., 2013) showed coverage at near expected levels for all libraries. This method can easily be adapted for use with extremely low DNA inputs by the introduction of a minimal number of PCR cycles. In fact, we have used this method to construct high quality NGS libraries with picogram quantities of DNA input. Standard library construction methods require DNA inputs of 2ug to 500ng when PCR amplification is omitted. This new method utilizes inputs as low as 25ng to generate high-quality PCR free libraries and picogram quantities when amplification is performed. We are currently investigating the possibility of reducing input levels further and exploring the limits of the method with low quality DNA samples. Interestingly, we have observed substantial sample loss during DNA shearing and reaction cleanup. Samples that do not require fragmentation, such as DNA isolated from plasma (cfDNA) and low quality FFPE DNA, may reduce the input requirements even further. Finally, this new method utilizes low sample and reagent volumes, possibly paving the way for its use in microfluidic devices. Citation Format: Lynne Apone, Pingfang Liu, Vaish Panchapakesa, Deyra Rodriguez, Karen Duggan, Krishnan Keerthana, Nicole Nichols, Yanxia Bei, Julie Menin, Brad Langhorst, Christine Sumner, Christine Chater, Joanna Bybee, Laurie Mazzola, Danielle Rivizzigno, Fiona Stewart, Eileen Dimalanta, Theodore Davis. Enhancing clinical utility of NGS with reduced bias, low DNA input, library construction. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3620.