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Does the introduction explain the objective of the research presented in the preprint?

Yes

Although enhancers are known to regulate gene expression, there is ongoing debate about whether enhancer-promoter activation requires direct physical contact or can occur over longer distances ("action-at-a-distance"). Yang et al. review conflicting evidence from previous live-cell imaging studies and argue that technical limitations may have prevented detection of transient enhancer-promoter contacts. They address these limitations by developing a five-part approach that integrates synthetic biology, super-resolution live-cell imaging, 3D genomics, gene expression measurements, polymer simulations, machine learning, and Bayesian modeling to determine the spatial and temporal mechanisms underlying enhancer-promoter interactions.

Are the methods well-suited for this research?

Highly appropriate

The methods are highly appropriate for addressing the research question because Yang et al. combine multiple complementary experimental and computational approaches to test the same hypothesis from independent perspectives. Rather than relying on a single assay, they integrate synthetic biology, super-resolution live-cell imaging, 3D genomics, perturbation experiments, polymer simulations, machine learning, and Bayesian inference to distinguish between competing mechanistic models of enhancer-promoter regulation. The inclusion of appropriate controls, validation of computational methods, and open discussion of the limitations of both the synthetic system and analytical approaches further strengthens the rigor of the study. Collectively, this convergence of orthogonal lines of evidence provides a robust framework for determining whether enhancer-promoter activation is mediated by direct physical contact or action at a distance. The convergence of multiple complementary approaches is a major strength of the manuscript. It may be helpful, however, to more explicitly discuss the extent to which the five estimates are statistically or conceptually independent, as several approaches draw upon shared experimental datasets while applying distinct analytical frameworks. Clarifying this relationship would help readers better appreciate the robustness of the convergent evidence without diminishing the overall conclusions. One aspect that could further strengthen the manuscript is improving the accessibility of the computational framework. The integration of polymer simulations, machine learning, Bayesian inference, and multiple experimental datasets is a major strength of the work, but readers without a computational background may find it challenging to understand how each analysis contributes to the overall conclusions. A summary figure or conceptual roadmap illustrating how each of the five complementary approaches estimates enhancer-promoter contact radius or interaction duration would improve readability while highlighting the convergence of evidence that makes the study so compelling. Because the study relies on a carefully engineered synthetic enhancer-promoter pair, the manuscript would benefit from additional discussion of how the properties of the synthetic enhancer compare with endogenous enhancers. While the synthetic system is clearly the appropriate experimental platform for distinguishing competing mechanistic models, briefly discussing which aspects are expected to generalize, and which may be unique to the engineered construct, would help readers place the findings in a broader biological context.

Are the conclusions supported by the data?

Highly supported

The authors distinguish between direct experimental observations, model-derived estimates, and broader biological interpretations, allowing readers to evaluate the strength of each conclusion independently. They appropriately acknowledge the assumptions underlying their computational analyses and the limitations of their synthetic system while avoiding unsupported claims about universal enhancer-promoter behavior. Overall, the central conclusions are well supported by the convergence of the presented evidence.

Are the data presentations, including visualizations, well-suited to represent the data?

Somewhat appropriate and clear

The data visualizations are generally well designed and effectively communicate the major findings. In particular, the conceptual schematics throughout the manuscript provide helpful context for interpreting both the experimental and computational analyses. One area that could be improved is the clarity of a few individual panels. For example, the legend and graphical elements in the lower-right portion of Figure 1B were difficult to interpret on first read, and additional labeling or explanation would improve accessibility. Overall, the figures are thoughtfully constructed, but a small number of panels would benefit from clearer annotation to help readers quickly understand the intended takeaway.

How clearly do the authors discuss, explain, and interpret their findings and potential next steps for the research?

Somewhat clearly

The Discussion provides a thoughtful and balanced interpretation of the findings, placing the results in the context of competing models of enhancer-promoter regulation and acknowledging important limitations of the experimental system. The authors appropriately discuss future directions and avoid overstating their conclusions. However, the Discussion covers several complex mechanistic concepts in rapid succession, making portions of the narrative difficult to follow on a first read. Additional organization between major conceptual sections would improve readability while preserving the depth of the discussion.

Is the preprint likely to advance academic knowledge?

Highly likely

This preprint has the potential to substantially advance our understanding of enhancer-promoter communication by addressing one of the field's central mechanistic debates of whether productive transcription requires direct physical contact or can occur through action-at-a-distance. Beyond the biological findings, the study introduces a powerful synthetic experimental platform and an integrated computational framework that will likely be valuable resources for future investigations of genome organization and gene regulation. The convergence of multiple orthogonal approaches, together with the broader methodological advances in live-cell imaging and quantitative analysis, make this work likely to have a lasting impact on both chromatin biology and the study of gene regulation.

Would it benefit from language editing?

No

No. The manuscript is exceptionally well written and effectively communicates a technically sophisticated body of work. The writing is clear, precise, and appropriately balanced, and any minor language issues do not detract from the readability or scientific content.

Would you recommend this preprint to others?

Yes, it’s of high quality

Yes. This is an exceptionally rigorous and thoughtfully executed study that addresses a longstanding question in gene regulation using an innovative combination of synthetic biology, live-cell imaging, quantitative genomics, and computational modeling. The authors present compelling evidence through multiple independent lines of investigation while remaining appropriately cautious in their interpretation of the results and transparent about the study's limitations. In addition to advancing our understanding of enhancer-promoter communication, the experimental and computational frameworks developed here are likely to become valuable resources for future studies of genome organization and transcriptional regulation. I expect this work to be of broad interest to researchers studying chromatin biology, gene regulation, and genome organization.

Is it ready for attention from an editor, publisher or broader audience?

Yes, as it is

Yes. This is a rigorous, well-executed, and thoughtfully communicated study that addresses an important and longstanding question in genome biology. The authors combine innovative experimental design with complementary computational approaches to provide compelling evidence for their central conclusions while appropriately acknowledging the study's limitations. Although there are minor opportunities to improve the clarity of a few figures, these do not detract from the overall quality of the manuscript. I believe the preprint is ready for consideration by editors and will be of broad interest to researchers studying gene regulation, chromatin biology, and genome organization.

Competing interests

The author declares that they have no competing interests.

Use of Artificial Intelligence (AI)

The author declares that they did not use generative AI to come up with new ideas for their review.