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Novel Approaches to Analyze Immunoglobulin Repertoires.
Wardemann, Hedda; Busse, Christian E.
Afiliación
  • Wardemann H; Division of B Cell Immunology, German Cancer Research Center, Heidelberg, Germany. Electronic address: h.wardemann@dkfz-heidelberg.de.
  • Busse CE; Division of B Cell Immunology, German Cancer Research Center, Heidelberg, Germany. Electronic address: christian.busse@dkfz-heidelberg.de.
Trends Immunol ; 38(7): 471-482, 2017 07.
Article en En | MEDLINE | ID: mdl-28566130
ABSTRACT
Analysis of immunoglobulin (Ig) repertoires aims to comprehend Ig diversity with the goal of predicting humoral immune responses in the context of infection, vaccination, autoimmunity, and malignancies. The first next-generation sequencing (NGS) analyses of bulk B cell populations dramatically advanced sampling depth over previous low-throughput single-cell-based protocols, albeit at the expense of accuracy and loss of chain-pairing information. In recent years the field has substantially differentiated, with bulk analyses becoming more accurate while single-cell approaches have gained in throughput. Additionally, new platforms striving to combine high throughput and chain pairing have been developed as well as various computational tools for analysis. Here we review the developments of the past 4-5 years and discuss the open challenges.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genes de Inmunoglobulinas / Linfocitos B / Enfermedades Transmisibles / Cambio de Clase de Inmunoglobulina / Inmunidad Humoral / Anticuerpos Límite: Animals / Humans Idioma: En Revista: Trends Immunol Asunto de la revista: ALERGIA E IMUNOLOGIA Año: 2017 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genes de Inmunoglobulinas / Linfocitos B / Enfermedades Transmisibles / Cambio de Clase de Inmunoglobulina / Inmunidad Humoral / Anticuerpos Límite: Animals / Humans Idioma: En Revista: Trends Immunol Asunto de la revista: ALERGIA E IMUNOLOGIA Año: 2017 Tipo del documento: Article