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      A ligation-based single-stranded library preparation method to analyze cell-free DNA and synthetic oligos

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          Abstract

          Background

          Cell-free DNA (cfDNA), present in circulating blood plasma, contains information about prenatal health, organ transplant reception, and cancer presence and progression. Originally developed for the genomic analysis of highly degraded ancient DNA, single-stranded DNA (ssDNA) library preparation methods are gaining popularity in the field of cfDNA analysis due to their efficiency and ability to convert short, fragmented DNA into sequencing libraries without altering DNA ends. However, current ssDNA methods are costly and time-consuming.

          Results

          Here we present an efficient ligation-based single-stranded library preparation method that is engineered to produce complex libraries in under 2.5 h from as little as 1 nanogram of input DNA without alteration to the native ends of template molecules. Our method, called Single Reaction Single-stranded LibrarY or SRSLY, ligates uniquely designed Next-Generation Sequencing (NGS) adapters in a one-step combined phosphorylation/ligation reaction that foregoes end-polishing. Using synthetic DNA oligos and cfDNA, we demonstrate the efficiency and utility of this approach and compare with existing double-stranded and single-stranded approaches for library generation. Finally, we demonstrate that cfDNA NGS data generated from SRSLY can be used to analyze DNA fragmentation patterns to deduce nucleosome positioning and transcription factor binding.

          Conclusions

          SRSLY is a versatile tool for converting short and fragmented DNA molecules, like cfDNA fragments, into sequencing libraries while retaining native lengths and ends.

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          Most cited references32

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          A high-coverage genome sequence from an archaic Denisovan individual.

          We present a DNA library preparation method that has allowed us to reconstruct a high-coverage (30×) genome sequence of a Denisovan, an extinct relative of Neandertals. The quality of this genome allows a direct estimation of Denisovan heterozygosity indicating that genetic diversity in these archaic hominins was extremely low. It also allows tentative dating of the specimen on the basis of "missing evolution" in its genome, detailed measurements of Denisovan and Neandertal admixture into present-day human populations, and the generation of a near-complete catalog of genetic changes that swept to high frequency in modern humans since their divergence from Denisovans.
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            High-resolution mapping and characterization of open chromatin across the genome.

            Mapping DNase I hypersensitive (HS) sites is an accurate method of identifying the location of genetic regulatory elements, including promoters, enhancers, silencers, insulators, and locus control regions. We employed high-throughput sequencing and whole-genome tiled array strategies to identify DNase I HS sites within human primary CD4+ T cells. Combining these two technologies, we have created a comprehensive and accurate genome-wide open chromatin map. Surprisingly, only 16%-21% of the identified 94,925 DNase I HS sites are found in promoters or first exons of known genes, but nearly half of the most open sites are in these regions. In conjunction with expression, motif, and chromatin immunoprecipitation data, we find evidence of cell-type-specific characteristics, including the ability to identify transcription start sites and locations of different chromatin marks utilized in these cells. In addition, and unexpectedly, our analyses have uncovered detailed features of nucleosome structure.
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              A genomic code for nucleosome positioning.

              Eukaryotic genomes are packaged into nucleosome particles that occlude the DNA from interacting with most DNA binding proteins. Nucleosomes have higher affinity for particular DNA sequences, reflecting the ability of the sequence to bend sharply, as required by the nucleosome structure. However, it is not known whether these sequence preferences have a significant influence on nucleosome position in vivo, and thus regulate the access of other proteins to DNA. Here we isolated nucleosome-bound sequences at high resolution from yeast and used these sequences in a new computational approach to construct and validate experimentally a nucleosome-DNA interaction model, and to predict the genome-wide organization of nucleosomes. Our results demonstrate that genomes encode an intrinsic nucleosome organization and that this intrinsic organization can explain approximately 50% of the in vivo nucleosome positions. This nucleosome positioning code may facilitate specific chromosome functions including transcription factor binding, transcription initiation, and even remodelling of the nucleosomes themselves.
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                Author and article information

                Contributors
                chris@claretbio.com
                jkapp@ucsc.edu
                varsharao@claretbio.com
                kelly@claretbio.com
                chkcole@gmail.com
                naughtoncolin@claretbio.com
                jmgarcia@claretbio.com
                bashapir@ucsc.edu
                ed@soe.ucsc.edu
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                27 December 2019
                27 December 2019
                2019
                : 20
                : 1023
                Affiliations
                [1 ]Claret Bioscience LLC, Santa Cruz, CA 95060 USA
                [2 ]ISNI 0000 0001 0740 6917, GRID grid.205975.c, Department of Ecology and Evolutionary Biology, , University of California, ; Santa Cruz, CA 95064 USA
                [3 ]ISNI 0000 0001 0740 6917, GRID grid.205975.c, Department of Biomolecular Engineering, , University of California Santa Cruz, ; Santa Cruz, CA 95064 USA
                [4 ]ISNI 0000 0001 0740 6917, GRID grid.205975.c, Howard Hughes Medical Institute, , University of California Santa Cruz, ; Santa Cruz, CA 95064 USA
                Author information
                http://orcid.org/0000-0002-4850-0288
                Article
                6355
                10.1186/s12864-019-6355-0
                6935139
                31881841
                ccc08b28-890c-4f74-96c9-5755b0ccd6f4
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 15 June 2019
                : 29 November 2019
                Categories
                Methodology Article
                Custom metadata
                © The Author(s) 2019

                Genetics
                srsly,single-stranded library,next-generation sequencing,cell-free dna,oligos,nucleosome positioning

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