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      ED SUMM: B cell VH region repertoire sequencing of 8 anatomical sites in 6 human donors reveals distinct networks of clone distribution : An atlas of B cell clonal distribution in the human body

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          Abstract

          B cell responses result in clonal expansion, and can occur in a variety of tissues. To define how B cell clones are distributed in the body, we sequenced 933,427 B cell clonal lineages and mapped them to 8 different anatomic compartments in 6 human organ donors. We show that large B cell clones partition into two broad networks—one spans the blood, bone marrow, spleen and lung, while the other is restricted to tissues within the gastrointestinal (GI) tract (jejunum, ileum and colon). Notably, GI tract clones display extensive sharing of sequence variants among different portions of the tract and have higher frequencies of somatic hypermutation, suggesting extensive and serial rounds of clonal expansion and selection. Our findings provide an anatomic atlas of B cell clonal lineages, their properties and tissue connections. This resource serves as a foundation for studies of tissue-based immunity, including vaccine responses, infections, autoimmunity and cancer.

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          Most cited references41

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          Is Open Access

          Insight into biases and sequencing errors for amplicon sequencing with the Illumina MiSeq platform

          With read lengths of currently up to 2 × 300 bp, high throughput and low sequencing costs Illumina's MiSeq is becoming one of the most utilized sequencing platforms worldwide. The platform is manageable and affordable even for smaller labs. This enables quick turnaround on a broad range of applications such as targeted gene sequencing, metagenomics, small genome sequencing and clinical molecular diagnostics. However, Illumina error profiles are still poorly understood and programs are therefore not designed for the idiosyncrasies of Illumina data. A better knowledge of the error patterns is essential for sequence analysis and vital if we are to draw valid conclusions. Studying true genetic variation in a population sample is fundamental for understanding diseases, evolution and origin. We conducted a large study on the error patterns for the MiSeq based on 16S rRNA amplicon sequencing data. We tested state-of-the-art library preparation methods for amplicon sequencing and showed that the library preparation method and the choice of primers are the most significant sources of bias and cause distinct error patterns. Furthermore we tested the efficiency of various error correction strategies and identified quality trimming (Sickle) combined with error correction (BayesHammer) followed by read overlapping (PANDAseq) as the most successful approach, reducing substitution error rates on average by 93%.
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            Explicit Calculation of the Rarefaction Diversity Measurement and the Determination of Sufficient Sample Size

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              pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires.

              Driven by dramatic technological improvements, large-scale characterization of lymphocyte receptor repertoires via high-throughput sequencing is now feasible. Although promising, the high germline and somatic diversity, especially of B-cell immunoglobulin repertoires, presents challenges for analysis requiring the development of specialized computational pipelines. We developed the REpertoire Sequencing TOolkit (pRESTO) for processing reads from high-throughput lymphocyte receptor studies. pRESTO processes raw sequences to produce error-corrected, sorted and annotated sequence sets, along with a wealth of metrics at each step. The toolkit supports multiplexed primer pools, single- or paired-end reads and emerging technologies that use single-molecule identifiers. pRESTO has been tested on data generated from Roche and Illumina platforms. It has a built-in capacity to parallelize the work between available processors and is able to efficiently process millions of sequences generated by typical high-throughput projects.
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                Author and article information

                Journal
                9604648
                20305
                Nat Biotechnol
                Nat. Biotechnol.
                Nature biotechnology
                1087-0156
                1546-1696
                22 October 2017
                21 August 2017
                September 2017
                21 February 2018
                : 35
                : 9
                : 879-884
                Affiliations
                [1 ]Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
                [2 ]School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA
                [3 ]Columbia Center for Translational Immunology, Columbia University Medical Center, New York, NY
                [4 ]LiveOnNY, New York, NY
                [5 ]Department of Surgery and Department of Microbiology and Immunology, Columbia University School of Medicine, New York, NY
                [6 ]Department of Immunology, University of Pittsburgh, Pittsburgh, PA
                [7 ]Department of Microbiology and Immunology, Drexel College of Medicine, Drexel University, Philadelphia, PA
                Author notes
                [* ]Corresponding authors: Eline T. Luning Prak, MD, PhD, luning@ 123456mail.med.upenn.edu , Uri Hershberg, PhD, uh25@ 123456drexel.edu
                U.H. and E.L.P. are co-corresponding authors
                [ˆ]

                Equal Contributions Statement:

                W.M. and B.Z. contributed equally to this manuscript and are co-first authors.

                Article
                NIHMS892926
                10.1038/nbt.3942
                5679700
                28829438
                b9bbdf22-c6b0-4f13-a28a-fcf9d8108603

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                Biotechnology
                Biotechnology

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