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Omics · study · 2026

RNA resequencing of Jurkat T cells activation model

Listed in NCBI GEO

To gain insights into how different activation methods affect T cells, we established a T cell activation model using human Jurkat T cells.

Description

In this model, two activation methods were applied: one with the polyclonal stimulants PMA and Ionomycin, and the other with the monoclonal stimulation antibodies anti - CD3 and anti - CD28. To comprehensively understand the differences caused by these two activation methods at the cellular level and their impact on cell function regulation, we used transcriptome sequencing.

This technology aims to analyze the expression of differentially expressed genes and related signaling pathway changes under the two activation methods, offering a molecular basis for revealing their role in cell activation, proliferation, and immune responses.

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From keywords
Life Sciences
Inferred from text
Biochemistry and cell biology 68% · RNA sequencing 65% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE30178914 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].anzsrc:group:3101enrichment · NCBI GEOtaxonomy-embedding@1.1.0title+keywords+description (68%)
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[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