Dataset Information

Reconstructing and mining the B cell repertoire with ImmunediveRsity.

ABSTRACT: The B cell antigen receptor repertoire is highly diverse and constantly modified by clonal selection. High-throughput DNA sequencing (HTS) of the lymphocyte repertoire (Rep-Seq) represents a promising technology to explore such diversity ex-vivo and assist in the identification of antigen-specific antibodies based on molecular signatures of clonal selection. Therefore, integrative tools for repertoire reconstruction and analysis from antibody sequences are needed. We developed ImmunediveRity, a stand-alone pipeline primarily based in R programming for the integral analysis of B cell repertoire data generated by HTS. The pipeline integrates GNU software and in house scripts to perform quality filtering, sequencing noise correction and repertoire reconstruction based on V, D and J segment assignment, clonal origin and unique heavy chain identification. Post-analysis scripts generate a wealth of repertoire metrics that in conjunction with a rich graphical output facilitates sample comparison and repertoire mining. Its performance was tested with raw and curated human and mouse 454-Roche sequencing benchmarks providing good approximations of repertoire structure. Furthermore, ImmunediveRsity was used to mine the B cell repertoire of immunized mice with a model antigen, allowing the identification of previously validated antigen-specific antibodies, and revealing different and unexpected clonal diversity patterns in the post-immunization IgM and IgG compartments. Although ImmunediveRsity is similar to other recently developed tools, it offers significant advantages that facilitate repertoire analysis and repertoire mining. ImmunediveRsity is open source and free for academic purposes and it runs on 64 bit GNU/Linux and MacOS. Available at: https://bitbucket.org/ImmunediveRsity/immunediversity/.

SUBMITTER: Cortina-Ceballos B

PROVIDER: S-EPMC4622655 | biostudies-other | 2015

REPOSITORIES: biostudies-other

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Reconstructing and mining the B cell repertoire with ImmunediveRsity.

Cortina-Ceballos Bernardo B Godoy-Lozano Elizabeth Ernestina EE Sámano-Sánchez Hugo H Aguilar-Salgado Andrés A Velasco-Herrera Martín Del Castillo Mdel C Vargas-Chávez Carlos C Velázquez-Ramírez Daniel D Romero Guillermo G Moreno José J Téllez-Sosa Juan J Martínez-Barnetche Jesús J

mAbs 20150101 3

The B cell antigen receptor repertoire is highly diverse and constantly modified by clonal selection. High-throughput DNA sequencing (HTS) of the lymphocyte repertoire (Rep-Seq) represents a promising technology to explore such diversity ex-vivo and assist in the identification of antigen-specific antibodies based on molecular signatures of clonal selection. Therefore, integrative tools for repertoire reconstruction and analysis from antibody sequences are needed. We developed ImmunediveRity, a ...[more]

PMID: 25875140

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Project description:The success of plant pathogenic fungi mostly relies on their arsenal of virulence factors that are expressed and delivered into the host tissue during colonization. The biotrophic fungal pathogen Ustilago hordei causes covered smut disease on both barley and oat. The biotrophic interaction of the fungus with its host plant starts with formation of appressorium and subsequent penetration of invasive hyphae into the plant cell, in which the plasma membrane of the infected cell gets invaginated and encases the penetrating hypha. After penetration, the fungus grows towards and in later stages along the vascular bundles, which contain assimilates and metabolites, representing a source of nutrients for the fungus. In this study, we combined cytological, genomics and molecular biological methods to achieve a better understanding of the molecular interactions in the U. hordei-barley pathosystem. This study focuses on the genome-wide Agilent Microarray-based transcriptome analysis of U. hordei during early stages (20 hpi, 40 hpi, 3 dpi, 6 dpi) of the biotrophic interaction in comparison to axenic culture growth. This should give insights into the molecular processes during these stages by the identification of regulated genes. Furthermore, the regulation of putative secreted enzymes and effector proteins can be studied. Transcriptome analysis of U. hordei at different stages of host infection revealed 273 effector gene candidates with differentially expressed transcript levels. Furthermore, U. hordei transcriptionally activates core-effector genes that may suppress even non-host early defense responses. It could be shown that about one half of the U. hordei open reading frames are differentially regulated during at least one of the analyzed stages. Based on the transcriptome data, some of them were identified to be involved in stage-specific processes, e.g. in the nutrient acquisition by the induction of carbohydrate transporters during the later stages of infection. Furthermore, a set of strongly induced genes was identified, which encode for secreted proteins. The acquired datasets show a strong induction of stage-specific secreted effector proteins, whose functions remain unclear. Based on the expression values, a group of 16 promising candidates was chosen for functional characterization. The success of plant pathogenic fungi mostly relies on their arsenal of virulence factors that are expressed and delivered into the host tissue during colonization. The biotrophic fungal pathogen Ustilago hordei causes covered smut disease on both barley and oat. The biotrophic interaction of the fungus with its host plant starts with formation of appressorium and subsequent penetration of invasive hyphae into the plant cell, in which the plasma membrane of the infected cell gets invaginated and encases the penetrating hypha. After penetration, the fungus grows towards and in later stages along the vascular bundles, which contain assimilates and metabolites, representing a source of nutrients for the fungus. In this study, we combined cytological, genomics and molecular biological methods to achieve a better understanding of the molecular interactions in the U. hordei-barley pathosystem. This study focuses on the genome-wide Agilent Microarray-based transcriptome analysis of U. hordei during early stages (20 hpi, 40 hpi, 3 dpi, 6 dpi) of the biotrophic interaction in comparison to axenic culture growth. This should give insights into the molecular processes during these stages by the identification of regulated genes. Furthermore, the regulation of putative secreted enzymes and effector proteins can be studied. Transcriptome analysis of U. hordei at different stages of host infection revealed 273 effector gene candidates with differentially expressed transcript levels. Furthermore, U. hordei transcriptionally activates core-effector genes that may suppress even non-host early defense responses. It could be shown that about one half of the U. hordei open reading frames are differentially regulated during at least one of the analyzed stages. Based on the transcriptome data, some of them were identified to be involved in stage-specific processes, e.g. in the nutrient acquisition by the induction of carbohydrate transporters during the later stages of infection. Furthermore, a set of strongly induced genes was identified, which encode for secreted proteins.The acquired datasets show a strong induction of stage-specific secreted effector proteins, whose functions remain unclear. Based on the expression values, a group of 16 promising candidates was chosen for functional characterization.

Dataset Information

Reconstructing and mining the B cell repertoire with ImmunediveRsity.

Publications

Reconstructing and mining the B cell repertoire with ImmunediveRsity.

Similar Datasets

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