Lynne Apone

The MspJI family of modification-dependent restriction endonucleases for epigenetic studies

MspJI is a novel modification-dependent restriction endonuclease that cleaves at a fixed distance away from the modification site. Here, we present the biochemical characterization of several MspJI homologs, including FspEI, LpnPI, AspBHI, RlaI, and SgrTI. All of the enzymes specifically recognize cytosine C5 modification (methylation or hydroxymethylation) in DNA and cleave at a constant distance (N12/N16) away from the modified cytosine. Each displays its own sequence context preference, favoring different nucleotides flanking the modified cytosine. By cleaving on both sides of fully modified CpG sites, they allow the extraction of 32-base long fragments around the modified sites from the genomic DNA. These enzymes provide powerful tools for direct interrogation of the epigenome. For example, we show that RlaI, an enzyme that prefers mCWG but not mCpG sites, generates digestion patterns that differ between plant and mammalian genomic DNA, highlighting the difference between their epigenomic patterns. In addition, we demonstrate that deep sequencing of the digested DNA fragments generated from these enzymes provides a feasible method to map the modified sites in the genome. Altogether, the MspJI family of enzymes represent appealing tools of choice for method development in DNA epigenetic studies.

Solid-phase enzyme catalysis of DNA end repair and 3′ A-tailing reduces GC-bias in next-generation sequencing of human genomic DNA

The use of next-generation sequencing (NGS) has been instrumental in advancing biological research and clinical diagnostics. To fully utilize the power of NGS, complete, uniform coverage of the entire genome is required. In this study, we identified the primary sources of bias observed in sequence coverage across AT-rich regions of the human genome with existing amplification-free DNA library preparation methods. We have found evidence that a major source of bias is the inefficient processing of AT-rich DNA in end repair and 3′ A-tailing, causing under-representation of extremely AT-rich regions. We have employed immobilized DNA modifying enzymes to catalyze end repair and 3′ A-tailing reactions, to notably reduce the GC bias observed with existing library construction methods.

Abstract 5365: Combining enzymatic DNA fragmentation with NGS library construction results in high quality, high yield libraries

The use of Next Generation Sequencing (NGS) data has been instrumental in advancing our understanding of human genetics, identifying the molecular events that contribute to human disease, and supporting drug development targeted towards precision medicine. Continued advancement relies on overcoming the limitations and bottlenecks associated with NGS. In this work, we have focused on NGS library preparation, where the requirement for expensive equipment and numerous steps can lead to sample loss, errors, and limited throughput. Specifically, we have developed a library construction method that integrates enzymatic DNA fragmentation into the workflow and combines fragmentation with end repair and dA-tailing in a single step. Integrating these reactions eliminates the need for costly equipment to shear DNA and reduces the number of sample transfers and losses. Adaptor ligation is also carried out in the same tube, after which a single cleanup step is performed. For low input samples, PCR amplification is performed prior to sequencing. This method is compatible with a broad range of DNA inputs and insert sizes. Libraries generated using this streamlined method with inputs ranging from 500 pg to 500 ng of intact DNA show no significant difference in coverage uniformity or sequence quality metrics, compared to libraries generated with mechanically sheared DNA. Similarly, libraries generated to contain insert sizes that range from 150bp to 1kb display no significant difference in sequence quality from each other or from those generated with mechanically sheared DNA. Finally, this streamlined method generates libraries of substantially higher yields than those generated using mechanically fragmented DNA, allowing the use of lower DNA inputs and fewer PCR cycles. The ability to generate high quality NGS libraries from intact DNA without the need for costly equipment and numerous cleanup or liquid transfer steps substantially reduces the time, cost and errors associated with library construction. In addition, these advances will enable greater use and adoption of NGS technologies in clinical and diagnostic settings. Citation Format: Fiona Stewart, Lynne Apone, Vaishnavi Panchapakesa, Karen Duggan, Timur Shtatland, Bradley Langhorst, John Murdoch, Christine Sumner, Christine Rozzi, Pingfang Liu, Keerthana Krishnan, Deyra Rodriguez, Joanna Bybee, Danielle Rivizzigno, Laurie Mazzola, Eileen Dimalanta, Theodore Davis. Combining enzymatic DNA fragmentation with NGS library construction results in high quality, high yield libraries [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5365. doi:10.1158/1538-7445.AM2017-5365

Abstract 3998: Sequencing the B-cell and T-cell repertoire

Immune sequencing allows for the study of complex immunological diseases by sequencing millions of V(D)J combinations from B-cell antibody and T-cell receptors. The popularity of this technique has increased due to recent throughput and read length improvements in next-generation sequencing technologies. However, structural and sequence complexities of antibody genes have made reliable targeting approaches challenging. We have developed and optimized a method for accurate sequencing of full-length immune gene repertoires of B-cells and T-cells. The method uses a unique barcoding scheme specifically designed to tag every mRNA molecule with a unique identifier (UID) so that all PCR copies of each mRNA fragment can be collapsed into a single consensus sequence. This makes the assay extremely accurate, by resolving PCR bias and sequencing errors as well as allowing quantitative digital molecule counting. Immune sequencing libraries were generated from total RNA extracted from Peripheral Blood Mononuclear Cells in duplicate from a single patient. The use of UIDs enabled absolute quantification of starting RNA molecules present in the original sample and therefore accurate ranking of the antibody clone abundance, by avoiding the bias incorporated by PCR or sequencing when total reads only were measured. Using the same sequencing method, tumor samples were analyzed for abundance of expanded clones via grouping clones by V gene, J gene and CDR3 similarity and ranking by mRNA abundance. Additionally, the use of isotype-specific primers (IgM, IgD, IgG, IgA and IgE) enabled measurement of the heavy chain isotype proportions within the samples. Further, alignment of full-length heavy chain antibody sequences generated using this method to germline genes from reference databases enabled quantitation of the mutation level of each antibody sequence, thereby providing information on the overall maturity and mutational profile of the sample repertoire. Citation Format: Fiona J. Stewart, Mehmet Karaca, Kris Adams, Chris Clouser, Bonny Patel, Sonia Timberlake, William Donahue, Lynne Apone, Salvatore Russello, Eileen T. Dimalanta, Theodore B. Davis, Francois Vigneault. Sequencing the B-cell and T-cell repertoire. [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 3998.

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.

Abstract 3186: Comparative analysis of different total RNA sequencing approaches

Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL Initial transcriptomic studies largely relied on hybridization-based microarray technologies and offered a limited ability to fully catalogue and quantify the diverse RNA molecules that are expressed from genomes over wide ranges of levels. Massively parallel cDNA sequencing, or Total RNA-Seq, has allowed many advances in the characterization and quantification of transcriptomes; an offer a new appreciation for the complexity of the Transcriptome, encompassing a multitude of previously unknown coding and non-coding RNA species, particularly small RNAs, including micro RNAs. This work investigates the performance of different strategies for Total RNA-Seq using multiple next generation sequencing platforms. Standard RNA-sequencing approaches generally require double-stranded cDNA Synthesis, which erases RNA strand information. Synthesis of a randomly primed double-stranded cDNA followed by addition of adaptors for next-generation sequencing leads to the loss of information about which strand was present in the original mRNA template. The polarity of the transcript is important for correct annotation of novel genes, identification of antisense transcripts with potential regulatory roles, and for correct determination of gene expression levels in the presence of antisense transcripts. Here, we examine the performance of strand-specific RNA libraries made by direct ligation of adaptor on to the RNA. We analyze the effect of different RNA fragmentation methods (divalent cations plus heat versus enzymatic fragmentation) and we provide a comparative data analysis (library complexity, continuity of gene coverage, strand specificity and 3′and 5′-end bias analysis). Identification and analysis of small RNA by deep sequencing requires preparation of a di-tagged cDNA library, which leads to adaptor-dimer formation that strongly contaminates the library. We have developed a novel method to generate di-tagged small RNA libraries free of adapter-dimer contamination without introducing any additional enzymatic steps or gel purifications. This method has optimized the 3′adaptor-ligation reaction to recover and to increase representation of the 2′-O-modified RNAs present in a biological sample. To reduce cost and increase sample throughput we have developed a barcode strategy to tag samples during library construction. The multiplexed libraries can then be pooled together before size selection, reducing the number of steps in the workflow. This technique reduces bias by ligation, increases representation of modified small RNAs and simplifies workflow during library construction for small RNA analysis and discovery. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3186. doi:1538-7445.AM2012-3186

A fast solution to NGS library preparation with low nanogram DNA input.

Next-generation sequencing (NGS) has significantly impacted human genetics, enabling a comprehensive characterization of human genome as well as better understanding of many genomic abnormalities. By delivering massive DNA sequences at unprecedented speed and cost, NGS promises to make personalized medicine a reality in the foreseeable future. To date, library construction with clinical samples has been a challenge, primarily due to the limited quantities of sample DNA available. To overcome this challenge, we have developed a fast library preparation method using novel NEBNext reagents and adaptors, including a new DNA polymerase that has been optimized to minimize GC bias. This method enables library construction from an amount of DNA as low as 5 ng, and can be used for both intact and fragmented DNA. Moreover, the workflow is compatible with multiple NGS platforms.

Comparative analysis of strand-specific RNA sequencing approaches

Background Standard RNA sequencing approaches generally require double-stranded cDNA synthesis, which erases RNA strand information. Synthesis of a randomly primed double-stranded cDNA followed by addition of adaptors for next-generation sequencing leads to the loss of information about which strand was present in the original mRNA template. The polarity of the transcript is important for correct annotation of novel genes, identification of antisense transcripts with potential regulatory roles, and for correct determination of gene expression levels in the presence of antisense transcripts. Different strand-specific RNA-seq approaches have been developed to preserve information about strand polarity with different level of performances. Material and methods Using Illumina Deep Sequencing Technology, this work investigates the performance of two different directional RNA-Seq (strand-specific RNA-seq) strategies. One is based on direct ligation of adaptors to the RNA ends and the other is based on the labeling and excision of the second strand cDNA. The RNA-seq workflows present in this work have been improved over current more laborious RNA-seq methods. Their low RNA input and streamlined workflows make them compatible with high throughput and automation. We also analyze the effect of different RNA fragmentation methods (divalent cations plus heat versus enzymatic fragmentation). Results We will provide a comparative full data analysis of different strand-specific RNA methods (library performance, complexity, continuity of gene coverage, strand specificity, rRNA background). Conclusions Our results show improved methods for high-quality strand-specific RNA-seq library construction amenable to large-scale library construction and automation.