Constarium
← Search

Omics · study · 2026

Transcriptomic changes underlying progression from islet autoantibody positivity to type 1 diabetes

Listed in NCBI GEO

In this study, we we collected RNA-seq data from four different human immune cells (CD4+ T cells, CD8+ T cells, B cells, NK ) to assess gene expression changes during type 1 diabetes (T1D) disease progression

Links

Where it is published

Documentation and papers

Topics

From keywords
Life Sciences
Inferred from text
Disease 75% · RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE17849313 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:diseaseenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
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[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
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