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      Deep sequencing of blood and gut T-cell receptor β-chains reveals gluten-induced immune signatures in celiac disease

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          Abstract

          Celiac disease (CD) patients mount an abnormal immune response to gluten. T-cell receptor (TCR) repertoires directed to some immunodominant gluten peptides have previously been described, but the global immune response to in vivo gluten exposure in CD has not been systematically investigated yet. Here, we characterized signatures associated with gluten directed immune activity and identified gluten-induced T-cell clonotypes from total blood and gut TCR repertoires in an unbiased manner using immunosequencing. CD patient total TCR repertoires showed increased overlap and substantially altered TRBV-gene usage in both blood and gut samples, and increased diversity in the gut during gluten exposure. Using differential abundance analysis, we identified gluten-induced clonotypes in each patient that were composed of a large private and an important public component. Hierarchical clustering of public clonotypes associated with dietary gluten exposure identified subsets of highly similar clonotypes, the most proliferative of which showing significant enrichment for the motif ASS[LF]R[SW][TD][DT][TE][QA][YF] in PBMC repertoires. These results show that CD-associated clonotypes can be identified and that common gluten associated immune response features can be characterized in vivo from total repertoires, with potential use in disease stratification and monitoring.

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          Most cited references25

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          Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments.

          One of the main objectives in the analysis of microarray experiments is the identification of genes that are differentially expressed under two experimental conditions. This task is complicated by the noisiness of the data and the large number of genes that are examined simultaneously. Here, we present a novel technique for identifying differentially expressed genes that does not originate from a sophisticated statistical model but rather from an analysis of biological reasoning. The new technique, which is based on calculating rank products (RP) from replicate experiments, is fast and simple. At the same time, it provides a straightforward and statistically stringent way to determine the significance level for each gene and allows for the flexible control of the false-detection rate and familywise error rate in the multiple testing situation of a microarray experiment. We use the RP technique on three biological data sets and show that in each case it performs more reliably and consistently than the non-parametric t-test variant implemented in Tusher et al.'s significance analysis of microarrays (SAM). We also show that the RP results are reliable in highly noisy data. An analysis of the physiological function of the identified genes indicates that the RP approach is powerful for identifying biologically relevant expression changes. In addition, using RP can lead to a sharp reduction in the number of replicate experiments needed to obtain reproducible results.
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            RankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis.

            While meta-analysis provides a powerful tool for analyzing microarray experiments by combining data from multiple studies, it presents unique computational challenges. The Bioconductor package RankProd provides a new and intuitive tool for this purpose in detecting differentially expressed genes under two experimental conditions. The package modifies and extends the rank product method proposed by Breitling et al., [(2004) FEBS Lett., 573, 83-92] to integrate multiple microarray studies from different laboratories and/or platforms. It offers several advantages over t-test based methods and accepts pre-processed expression datasets produced from a wide variety of platforms. The significance of the detection is assessed by a non-parametric permutation test, and the associated P-value and false discovery rate (FDR) are included in the output alongside the genes that are detected by user-defined criteria. A visualization plot is provided to view actual expression levels for each gene with estimated significance measurements. RankProd is available at Bioconductor http://www.bioconductor.org. A web-based interface will soon be available at http://cactus.salk.edu/RankProd
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              A direct estimate of the human alphabeta T cell receptor diversity.

              Generation and maintenance of an effective repertoire of T cell antigen receptors are essential to the immune system, yet the number of distinct T cell receptors (TCRs) expressed by the estimated 10(12) T cells in the human body is not known. In this study, TCR gene amplification and sequencing showed that there are about 10(6) different beta chains in the blood, each pairing, on the average, with at least 25 different alpha chains. In the memory subset, the diversity decreased to 1 x 10(5) to 2 x 10(5) different beta chains, each pairing with only a single alpha chain. Thus, the naïve repertoire is highly diverse, whereas the memory compartment, here one-third of the T cell population, contributes less than 1 percent of the total diversity.
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                Author and article information

                Contributors
                paivi.saavalainen@helsinki.fi
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                21 December 2017
                21 December 2017
                2017
                : 7
                : 17977
                Affiliations
                [1 ]ISNI 0000 0004 0410 2071, GRID grid.7737.4, Research Programs Unit, Immunobiology, , University of Helsinki, ; Helsinki, Finland
                [2 ]ISNI 0000 0004 0410 2071, GRID grid.7737.4, Department of Medical and Clinical Genetics, , University of Helsinki, ; Helsinki, Finland
                [3 ]ISNI 0000 0004 0410 2071, GRID grid.7737.4, Department of Bacteriology and Immunology, , University of Helsinki, ; Helsinki, Finland
                [4 ]ISNI 0000 0001 2314 6254, GRID grid.5509.9, Department of Internal Medicine, , Tampere University Hospital and Faculty of Medicine and Life Sciences, University of Tampere, ; Tampere, Finland
                [5 ]ISNI 0000 0001 2314 6254, GRID grid.5509.9, Center for Child Health Research, , University of Tampere and Tampere University Hospital, ; Tampere, Finland
                [6 ]ISNI 0000 0000 9387 9501, GRID grid.452433.7, Finnish Red Cross Blood Transfusion Service, ; Helsinki, Finland
                [7 ]GRID grid.1042.7, Walter and Eliza Hall Institute of Medical Research, ; Melbourne, Australia
                [8 ]ISNI 0000 0004 0410 2071, GRID grid.7737.4, Institute of Biotechnology, , University of Helsinki, ; Helsinki, Finland
                [9 ]Present Address: ImmusanT, Inc., Cambridge, MA USA
                [10 ]ISNI 0000 0001 2314 6254, GRID grid.5509.9, Faculty of Medicine and Life Sciences, , University of Tampere, ; Tampere, Finland
                Article
                18137
                10.1038/s41598-017-18137-9
                5740085
                29269859
                82da5cab-a0ed-4333-bc9f-044313f4fbff
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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                : 7 July 2017
                : 6 December 2017
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