ID

45688

Description

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.

Link

dbGaP study = phs001209

Keywords

  1. 5/3/23 5/3/23 - Simon Heim
Copyright Holder

Ning Jiang, PhD, University of Texas at Austin, Austin, TX, USA

Uploaded on

May 3, 2023

DOI

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License

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.

pht006805
Description

pht006805

Alias
UMLS CUI [1,1]
C3846158
De-identified Sample ID
Description

SAMPLE_ID

Data type

string

Alias
UMLS CUI [1,1]
C4684638
UMLS CUI [1,2]
C1299222
Body site where sample was collected
Description

BODY_SITE

Data type

string

Alias
UMLS CUI [1,1]
C0449705
Analyte Type
Description

ANALYTE_TYPE

Data type

string

Alias
UMLS CUI [1,1]
C4744818
Cell type of sample
Description

HISTOLOGICAL_TYPE

Data type

string

Alias
UMLS CUI [1,1]
C0370003
UMLS CUI [1,2]
C0449475
Tumor status
Description

IS_TUMOR

Data type

string

Alias
UMLS CUI [1,1]
C0475752
Malaria disease state during sample collection
Description

AFFECTION_STATUS

Data type

string

Alias
UMLS CUI [1,1]
C5188927
UMLS CUI [1,2]
C0024530
UMLS CUI [1,3]
C1442880
UMLS CUI [1,4]
C0200345
Sequencing platform used
Description

SEQUENCER

Data type

string

Alias
UMLS CUI [1,1]
C5401061
UMLS CUI [1,2]
C0042153
Read length and run mode
Description

READ_LENGTH

Data type

string

Alias
UMLS CUI [1,1]
C4727198
UMLS CUI [1,2]
C3846158

Similar models

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.

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
pht006805
C3846158 (UMLS CUI [1,1])
SAMPLE_ID
Item
De-identified Sample ID
string
C4684638 (UMLS CUI [1,1])
C1299222 (UMLS CUI [1,2])
BODY_SITE
Item
Body site where sample was collected
string
C0449705 (UMLS CUI [1,1])
ANALYTE_TYPE
Item
Analyte Type
string
C4744818 (UMLS CUI [1,1])
HISTOLOGICAL_TYPE
Item
Cell type of sample
string
C0370003 (UMLS CUI [1,1])
C0449475 (UMLS CUI [1,2])
IS_TUMOR
Item
Tumor status
string
C0475752 (UMLS CUI [1,1])
AFFECTION_STATUS
Item
Malaria disease state during sample collection
string
C5188927 (UMLS CUI [1,1])
C0024530 (UMLS CUI [1,2])
C1442880 (UMLS CUI [1,3])
C0200345 (UMLS CUI [1,4])
SEQUENCER
Item
Sequencing platform used
string
C5401061 (UMLS CUI [1,1])
C0042153 (UMLS CUI [1,2])
READ_LENGTH
Item
Read length and run mode
string
C4727198 (UMLS CUI [1,1])
C3846158 (UMLS CUI [1,2])

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