ID
45688
Descripción
Principal Investigator: Ning Jiang, PhD, University of Texas at Austin, Austin, TX, USA MeSH: Malaria,Malaria, Falciparum https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001209 This study describes a novel Immune Repertoire Sequencing technique, termed Molecular Identifier Clustering-based Immune Repertoire Sequencing (MIDCIRS), to reduce sequencing error while maintaining extremely high coverage and applies this technique to investigate the differential immune response to malaria between infants and toddlers. Despite a lower somatic hypermutation load, we found an unexpectedly high level of competency within the infant antibody repertoire, particularly the ability to diversify B cell clonal lineages upon acute infection. Detailed clonal lineage analysis encompassing lineages containing sequences from both pre- and acute malaria timepoints revealed an increase in somatic hypermutations upon acute infection. Further analysis on pre-malaria memory B cell containing lineages in toddlers who had previously been exposed to malaria provides evidence for the capacity of memory B cells to continue to mutate and isotype switch.
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Versiones (1)
- 3/5/23 3/5/23 - Simon Heim
Titular de derechos de autor
Ning Jiang, PhD, University of Texas at Austin, Austin, TX, USA
Subido en
3 de mayo de 2023
DOI
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Licencia
Creative Commons BY 4.0
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dbGaP phs001209 MIDCIRS Reveals Antibody Diversification in Young Children with Malaria
This sample attributes table contains sample IDs, body site where sample was collected, analyte type, histological type, tumor status, malaria disease state during sample collection, sequencing platform used, and read length and run mode.
- StudyEvent: SEV1
- The subject consent file includes subject IDs and consent information.
- This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.
- This subject phenotype table contains subject IDs, onset age, and gender.
- This sample attributes table contains sample IDs, body site where sample was collected, analyte type, histological type, tumor status, malaria disease state during sample collection, sequencing platform used, and read length and run mode.
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This sample attributes table contains sample IDs, body site where sample was collected, analyte type, histological type, tumor status, malaria disease state during sample collection, sequencing platform used, and read length and run mode.
- StudyEvent: SEV1
- The subject consent file includes subject IDs and consent information.
- This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.
- This subject phenotype table contains subject IDs, onset age, and gender.
- This sample attributes table contains sample IDs, body site where sample was collected, analyte type, histological type, tumor status, malaria disease state during sample collection, sequencing platform used, and read length and run mode.
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C0024530 (UMLS CUI [1,2])
C1442880 (UMLS CUI [1,3])
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C0042153 (UMLS CUI [1,2])
C3846158 (UMLS CUI [1,2])