Inference of B cell clonal families using heavy/light chain pairing information.
Inference of B cell clonal families using heavy/light chain pairing information.
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DOI:
10.1371/journal.pcbi.1010723
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发表时间:
2022-11
影响因子:
4.3
通讯作者:
中科院分区:
文献类型:
--
作者:
Next generation sequencing of B cell receptor (BCR) repertoires has become a ubiquitous tool for understanding the antibody-mediated immune response: it is now common to have large volumes of sequence data coding for both the heavy and light chain subunits of the BCR. However, until the recent development of high throughput methods of preserving heavy/light chain pairing information, these samples contained no explicit information on which heavy chain sequence pairs with which light chain sequence. One of the first steps in analyzing such BCR repertoire samples is grouping sequences into clonally related families, where each stems from a single rearrangement event. Many methods of accomplishing this have been developed, however, none so far has taken full advantage of the newly-available pairing information. This information can dramatically improve clustering performance, especially for the light chain. The light chain has traditionally been challenging for clonal family inference because of its low diversity and consequent abundance of non-clonal families with indistinguishable naive rearrangements. Here we present a method of incorporating this pairing information into the clustering process in order to arrive at a more accurate partition of the data into clonally related families. We also demonstrate two methods of fixing imperfect pairing information, which may allow for simplified sample preparation and increased sequencing depth. Finally, we describe several other improvements to the partis software package. Antibodies form part of the adaptive immune response, and are critical to immunity acquired by both vaccination and infection. Next generation sequencing of the B cell receptor (BCR) repertoire provides a broad and highly informative view of the DNA sequences from which antibodies arise. Until recently, however, this sequencing data was not able to pair together the two domains (from separate chromosomes) that make up a functional antibody. In this paper we present several methods to improve analysis of the new paired data that does pair together sequence data for complete antibodies. We first show a method that better groups together sequences stemming from the same ancestral cell, solving a problem called “clonal family inference.” We then show two methods that can correct for various imperfections in the data’s identification of which sequences pair together to form complete antibodies, which together may allow for significantly simplified experimental methods.
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DOI:
10.4049/jimmunol.2000583
发表时间:
2020-08-15
期刊:
Journal of immunology (Baltimore, Md. : 1950)
影响因子:
--
作者:
Alsoussi WB;Turner JS;Case JB;Zhao H;Schmitz AJ;Zhou JQ;Chen RE;Lei T;Rizk AA;McIntire KM;Winkler ES;Fox JM;Kafai NM;Thackray LB;Hassan AO;Amanat F;Krammer F;Watson CT;Kleinstein SH;Fremont DH;Diamond MS;Ellebedy AH
通讯作者:
Ellebedy AH
影响因子:
17.1
作者:
Howie, Bryan;Sherwood, Anna M.;Robins, Harlan S.
通讯作者:
Robins, Harlan S.
影响因子:
5.4
作者:
Doepker, Laura E.;Simonich, Cassandra A.;Overbaugh, Julie M.
通讯作者:
Overbaugh, Julie M.
影响因子:
6.6
作者:
Hagen O;Stadler T
通讯作者:
Stadler T
DOI:
10.4049/jimmunol.2100135
发表时间:
2021-06-15
期刊:
Journal of immunology (Baltimore, Md. : 1950)
影响因子:
--
作者:
Hoehn KB;Ramanathan P;Unterman A;Sumida TS;Asashima H;Hafler DA;Kaminski N;Dela Cruz CS;Sealfon SC;Bukreyev A;Kleinstein SH
通讯作者:
Kleinstein SH