SCIGA: Software for large-scale, single-cell immunoglobulin repertoire analysis.
Gigascience
; 10(9)2021 09 28.
Artigo
em Inglês
| MEDLINE | ID: covidwho-1443047
ABSTRACT
BACKGROUND:
B-cell immunoglobulin repertoires with paired heavy and light chain can be determined by means of 10X single-cell V(D)J sequencing. Precise and quick analysis of 10X single-cell immunoglobulin repertoires remains a challenge owing to the high diversity of immunoglobulin repertoires and a lack of specialized software that can analyze such diverse data.FINDINGS:
In this study, specialized software for 10X single-cell immunoglobulin repertoire analysis was developed. SCIGA (Single-Cell Immunoglobulin Repertoire Analysis) is an easy-to-use pipeline that performs read trimming, immunoglobulin sequence assembly and annotation, heavy and light chain pairing, statistical analysis, visualization, and multiple sample integration analysis, which is all achieved by using a 1-line command. Then SCIGA was used to profile the single-cell immunoglobulin repertoires of 9 patients with coronavirus disease 2019 (COVID-19). Four neutralizing antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were identified from these repertoires.CONCLUSIONS:
SCIGA provides a complete and quick analysis for 10X single-cell V(D)J sequencing datasets. It can help researchers to interpret B-cell immunoglobulin repertoires with paired heavy and light chain.Palavras-chave
Texto completo:
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Coleções:
Bases de dados internacionais
Base de dados:
MEDLINE
Assunto principal:
Software
/
Imunoglobulinas
/
Análise de Célula Única
Limite:
Humanos
Idioma:
Inglês
Ano de publicação:
2021
Tipo de documento:
Artigo
País de afiliação:
Gigascience
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