Pedro Manuel Martínez‐García

The paper studies regulatory genome evolution in echinoderms, revealing deep conservation of cis-regulatory elements and chromatin organization, suggesting an ancestral regulatory pattern in animal genomes.

This study optimizes CRISPR-Cas13d for RNA targeting in zebrafish by improving gRNA design, nuclear targeting, and computational prediction, reducing collateral effects.

The paper compares 3D genome structures between neural retina and RPE to identify tissue-specific cis-regulatory interactions at retinal disease loci.

This study investigates the effects of retinoic acid signaling on the epigenome and chromatin architecture during zebrafish embryonic development using multi-omics approaches.

This paper predicts TOP2B binding sites using machine learning, showing that chromatin accessibility and architectural factors are sufficient for accurate predictions.

This study compares machine learning algorithms for predicting long-range chromatin interactions using 1D sequencing data, finding gradient boosting to be the most accurate.

The paper shows that topoisomerase IIa removes negative DNA supercoiling at promoters, repressing transcription by enforcing Pol II pausing, and reveals this as a novel regulatory mechanism for gene expression.