Text · study · 2026
DNA Mechanical Strain Steers Transcription Factor Recognition
Listed in NCBI GEO
DNA is not merely a linear code of bases, but a mechanically constrained polymer whose backbone continuity restricts the conformations accessible during protein recognition.
Description
Yet, although base-sequence preferences have been extensively mapped across human transcription factor (TF) families, we lack comparable maps of how TFs read backbone continuity and DNA mechanics, leaving these layers of recognition poorly understood.
Here we introduce PIC-NIC, a high-throughput platform that uses site-specific backbone nicks to perturb DNA mechanics while preserving base identity and minimizing accompanying chemical changes. Across 15 TFs spanning eight structural families, PIC-NIC reveals a highly position-dependent response to backbone disruption: most positions are permissive, whereas nicking at mechanically sensitive sites can substantially reshape binding.
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Mechanistic analyses integrating PIC-NIC maps with newly determined TF–DNA structures, structural comparisons, binding kinetics, and molecular simulations show that sensitive positions often coincide with strain-adapted DNA geometries, including Hoogsteen conformations, whose relaxation can enhance binding or rewire sequence specificity. Genomic single-strand breaks and repair maps further suggest that TF retention at nicked DNA may influence local repair-factor accessibility.
Together, these findings systematically map DNA backbone mechanics as a position-resolved layer of TF recognition across diverse protein families, showing how this layer can reshape binding specificity and may influence repair-factor accessibility.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE346nnn/GSE346667 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE346667 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1526156 ncbi.nlm.nih.gov/bioproject/PRJNA1526156 ↗
project · from NCBI GEO
Topics
- Stated by source
- Arabidopsis thaliana · Homo sapiens · Protein profiling by protein array
- From keywords
- Life Sciences
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE346667 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:protein-profiling-by-protein-array | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:3702 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| 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 |