Excel · study · 2026
Dynamics of Natural Killer Cell Function upon Recurrent Stimulation
Listed in NCBI GEO
Natural killer (NK) cells have shown potential for allogeneic cell-based cancer immunotherapies.
Description
For development of economical off-the-shelf allogeneic therapies, maximal expansion of the NK cells from each donor must be achieved while maintaining efficacy and uniformity of the cell product. The most robust expansion method utilizes weekly stimulation with engineered feeder cells derived from the K562 cell line.
However, the effects of repeated stimulation on NK cell growth, metabolism, and function are not well understood. In this study, we demonstrated a distinct shift in growth kinetics and metabolism around week 3-4 of repeated K562 feeder cell stimulation, followed by a change in cytokine secretion and killing ability. While Seahorse metabolic flux assays and transcriptomics suggested a transition from glycolytic metabolism to oxidative metabolism after the first week of stimulation, the shift in growth kinetics generally correlated to reduced metabolic activity.
Read the rest (1 more)
Collectively, these results indicate that serial stimulation sustains large-fold NK cell expansion that can be exploited for NK cell therapy; however, this expansion has important impacts on NK cell growth, metabolism, and function. Careful characterization is critical when developing large-scale biomanufacturing processes that ensure clinical efficacy of the final cellular product.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE311nnn/GSE311384 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE311384 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1369378 ncbi.nlm.nih.gov/bioproject/PRJNA1369378 ↗
project · from NCBI GEO
- PubMed 41531166 pubmed.ncbi.nlm.nih.gov/41531166 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE311384 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | 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 |