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Excel · study · 2026

Repertoire FLEX (REFLEX) Enables High-Throughput Multiomic scRNAseq with AIR Detection

Listed in NCBI GEO

Profiling the vast diversity of the T-cell repertoire at single-cell resolution is challenging due to the scale and cost requirements involved.

Description

Current technologies capture TCR or perform single-cell sequencing at scale but struggle to combine both. Here, we utilize both neat and virally stimulated PBMCs to showcase “REFLEX”, a technological approach enabling highly scalable, low cost-per-cell profiling of TCR repertoire in parallel with epitope and gene expression.

This combination of capabilities allows for high throughput, multi-omic profiling of rare T cell subsets and longitudinal study formats at scales that were previously unattainable.

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From keywords
Life Sciences
Inferred from text
Longitudinal study 75% · Sequencing 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE31486314 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[method].local:method:longitudinal-studyenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title