Excel · study · 2026
Immune receptor repertoire profiling in HIV-1 elite controllers and individuals with progressive disease
Listed in NCBI GEO
Elite controllers (ECs) are a rare subset of people living with HIV-1 who maintain very low or undetectable plasma viremia without antiretroviral therapy (ART), and represent a key model for understanding natural viral control.
Description
While cellular immune responses in ECs have been extensively studied, less is known about how B-cell and T-cell receptor repertoires relate to spontaneous control versus progressive disease. In this cross-sectional study, we enrolled 27 ART-naïve individuals with HIV-1 infection, including elite controllers (ECs, n = 7), typical progressors (TPs, n = 10) and rapid progressors (RPs, n = 10).
Peripheral blood mononuclear cells (PBMCs) were isolated at the time of diagnosis, and immune receptor repertoires were generated from total RNA using 5′-RACE-based library preparation for immunoglobulin heavy chain (IGH) and T-cell receptor β chain (TRB). Libraries were sequenced on Illumina platforms in paired-end mode, and clonotype-level IGH and TRB repertoires were reconstructed, annotated and analysed for CDR3 length distributions, V(D)J gene and gene-combination usage, clonotype sharing, and diversity indices.
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This dataset provides paired IGH and TRB repertoire profiles from elite controllers and individuals with progressive HIV-1 disease, enabling comparative analyses of B-cell and T-cell receptor architecture in relation to distinct clinical phenotypes of HIV-1 infection.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE315nnn/GSE315285 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE315285 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1395581 ncbi.nlm.nih.gov/bioproject/PRJNA1395581 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Disease 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE315285 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |