Omics · study · 2026
Killer cell immunoglobulin-like receptors delineate distinct phenotypes and functions in human γδ T cells [RNA-seq]
Listed in NCBI GEO
Killer cell immunoglobulin-like receptors (KIRs) are a diverse family of HLA class I-specific receptors that shape immune responses, primarily through NK cells.
Description
Beyond NK cells, subsets of T cells, notably γδ T cells, express KIRs, but their roles remain unclear. Here, we demonstrate that KIR⁺γδ T cells are significantly more abundant in CMV-seropositive healthy adults, particularly within the Vδ2⁻ subset.
These cells exhibit a TEMRA phenotype, are predominantly CD16⁺CD57⁺, hallmarks of a highly differentiated state, and express multiple NK cell-associated receptors. KIR+γδ T cells display enhanced cytotoxic potential, with higher levels of granzyme B and perforin than their KIR- counterparts. Using Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) and transcriptional analyses, we show that KIR- and KIR+ γδ T cells reveal distinct molecular signatures, with KIR+γδ T cells transcriptionally and epigenetically aligning with terminally differentiated effector memory T cells, while KIR- cells retain a naïve-like phenotype.
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These findings suggest that CMV infection drives the differentiation of γδ T cells into potent, KIR-expressing cytotoxic effectors. This adaptive mechanism may bolster immune defense while maintaining self-tolerance, highlighting a previously unappreciated role for KIRs in shaping γδ T cell immunity.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE301nnn/GSE301799 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE301799 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1287589 ncbi.nlm.nih.gov/bioproject/PRJNA1287589 ↗
project · from NCBI GEO
- PubMed 42044172 pubmed.ncbi.nlm.nih.gov/42044172 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 65% · Sequencing 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE301799 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| 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[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |