GHT-SELEX demonstrates unexpectedly high intrinsic sequence specificity and complex DNA binding of many human transcription factors
Ranking
Observed public metrics from 1 member.
Merged summary
TL;DR - A Nature Methods paper introducing GHT-SELEX, a high-throughput SELEX variant that uses fragmented genomic DNA instead of random oligos to profile human transcription factor (TF) binding. It matters because it shows TF binding is far more sequence-specific and structurally complex than standard motif models assume, which has direct implications for regulatory-genomics datasets and the models trained on them.
- GHT-SELEX performs in vitro selection over fragmented genomic DNA, so the measured binding preferences are anchored to real genomic loci rather than synthetic random sequence libraries.
- Result: many human TFs display unexpectedly high intrinsic sequence specificity — they discriminate strongly among candidate genomic sites, rather than binding degenerately as simple PWM-style motifs would predict.
- C2H2 zinc finger proteins show mode-switching: the same protein engages different subsets of its zinc fingers at different binding sites, implying a single consensus motif per TF is an inadequate representation.
- Practical implication: benchmark and training data for sequence-to-function / regulatory models may need multi-mode binding representations; note this summary is based only on the published abstract blurb, so quantitative results (TF counts, effect sizes) are not available here.
Sources (1)
GHT-SELEX demonstrates unexpectedly high intrinsic sequence specificity and complex DNA binding of many human transcription factors
TL;DR - A Nature Methods paper introducing GHT-SELEX, a high-throughput SELEX variant that uses fragmented genomic DNA instead of random oligos to profile human transcription factor (TF) binding. It matters because it shows TF binding is far more sequence-specific and structurally complex than standard motif models assume, which has direct implications for regulatory-genomics datasets and the models trained on them.
- GHT-SELEX performs in vitro selection over fragmented genomic DNA, so the measured binding preferences are anchored to real genomic loci rather than synthetic random sequence libraries.
- Result: many human TFs display unexpectedly high intrinsic sequence specificity — they discriminate strongly among candidate genomic sites, rather than binding degenerately as simple PWM-style motifs would predict.
- C2H2 zinc finger proteins show mode-switching: the same protein engages different subsets of its zinc fingers at different binding sites, implying a single consensus motif per TF is an inadequate representation.
- Practical implication: benchmark and training data for sequence-to-function / regulatory models may need multi-mode binding representations; note this summary is based only on the published abstract blurb, so quantitative results (TF counts, effect sizes) are not available here.