Zeitlinger Lab
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zeitlingerlab.bsky.social
Zeitlinger Lab
@zeitlingerlab.bsky.social
Our long-term research goal is to understand and predict gene regulation based on DNA sequence information and genome-wide experimental data.
(12) We tested this idea to an accessibility time-course on decreasing Oct4 concentrations (Xiong et al, from Hans Schöler's lab). When a pioneer motif was in a cooperative vs. single configuration, the enhancer was more sensitive to changing Oct4 conc., regardless of affinity.
November 19, 2025 at 8:57 PM
(11) We found that the regulatory potential increases when two pioneer TFs cooperate. Motif affinity shifts the curve towards higher or lower TF concentrations, but does not change the regulatory potential. Thus, cooperativity and motif affinity have distinct effects.
November 19, 2025 at 8:57 PM
(8) This means that low-affinity motifs cooperate as readily as high-affinity motifs, but their relative gain is higher, which is why they produce strong effects.
November 19, 2025 at 8:57 PM
(7) Looking further, we find that arrangements of pioneer motifs tend to cooperate within nucleosome distances (~200 bp). This cooperative soft syntax applies to every examined pioneering motif pair and all mixtures of motif pair affinities.
November 19, 2025 at 8:57 PM
(6) Depending on the distance to a strong pioneer motif, the same motif sequence may have different effects on accessibility. This was validated with CRISPR/Cas9 editing on the Akr1cl enhancer, where two identical and bound Sox2 motifs have very different effects on pioneering.
November 19, 2025 at 8:57 PM
(5) We then found that low-affinity motifs are predicted to have outsized effects on pioneering due to the motif’s arrangement in the genomic region. Surprisingly, this context is a stronger determinant of pioneering than the motif’s affinity alone, as confirmed with CRISPR/Cas9 editing.
November 19, 2025 at 8:57 PM
(4) To map low-affinity motifs in their genomic context, we trained ChromBPNet (from the lab of @anshulkundaje.bsky.social) deep learning models in mESCs, learning the expected pluripotency TF motifs. We then validated the Oct4-Sox2 motif mappings through high-resolution TF binding footprints.
November 19, 2025 at 8:57 PM
(3) Described as “futility theorem” in the 2000s, it’s hard to map functional low-affinity motifs based on low PWM match scores, yet some low-affinity motifs have crucial phenotypic consequences in vivo.

What then makes low-affinity motifs important for enhancer regulation?
November 19, 2025 at 8:57 PM