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Omics · study · 2026

A combinatorial transcription factor screening protocol for identifying cellular reprogramming minimal networks [scRNA-seq]

Listed in NCBI GEO

Direct reprogramming offers a powerful approach to generate therapeutic cell types, but progress is limited by an incomplete understanding of combinatorial transcription factor cooperativity.

Description

Here, we present a protocol for implementing REPROcode to identify reprogramming factor combinations that drive immune cell identities. This protocol details arrayed lentiviral production, transduction, and reprogramming of human fibroblasts into distinct immune cells.

We describe cell purification, library preparation, sequencing, and analysis to resolve transcription factor combinations and dynamics driving immune cell induction for immunotherapies.

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From keywords
Life Sciences
Inferred from text
Sequencing 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE32171712 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[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:single-cell-rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[organism].NCBITaxon:10090source · 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