Constarium
← Search

Omics · study · 2026

Evolutionary guided transcription factor design programs novel T cell states [RNAseq_Paired]

Listed in NCBI GEO

Human protein-coding genes evolved via modular rearrangement of domains from ancestral genes.

Description

Here, we develop a scalable, evolutionarily guided method to assemble novel protein-coding genes from constituent domains within a protein family, termed DESynR (Domain Engineered via Synthesis and Recombination) genes. Using primary human chimeric antigen receptor T cells as a model, we find that the expression of DESynR Activator Protein-1 (AP-1) transcription factors (TFs) significantly outperforms the overexpression of natural AP-1 TFs in multiple functional assays in vitro and in vivo.

Top DESynR AP-1 TFs exhibit non-intuitive domain architectures, including from TFs not canonically expressed in T cells. DESynR AP-1 TFs induce broad transcriptional and epigenetic reprogramming and establish non-natural T cell states that optimize features of exhaustion, effector and cytotoxic function, and persistence— in some cases co-opting gene expression modules from disparate cell types. We show that this reprogramming is primarily driven by differential regulation of established AP-1-bound regulatory elements, rather than unique binding.

Read the rest (1 more)

Finally, we extend the DESynR methodology to Erythroblast Transformation Specific (ETS) and Forkhead box (FOX) TFs to support the generalizability across protein families. Overall, we demonstrate that novel configurations of existing protein domains may uncover non-evolved genes that program cell states with therapeutic relevance.

Links

Where it is published

Documentation and papers

Topics

From keywords
Life Sciences
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE33504012 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[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