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Pulecio Rojas, J. A.

Publications and source records attributed to Pulecio Rojas, J. A..

2 recordsLinked to original sources

A Genetically Engineered Human Organoid Model Reveals Distinct Genetic and Epigenetic Barriers of Lineage Plasticity in Early PDAC Transformation

The lack of accurate, human-based models recapitulating early-stage pancreatic ductal adenocarcinoma (PDAC) has hindered therapeutic development. Using pluripotent stem cell-derived pancreatic progenitor organoids, we established a human PDAC model that faithfully reproduces the genetic, epigenetic, and transcriptomic trajectory of tumor initiation and progression in vitro, validated against clinical datasets and histopathology. We demonstrate that CDKN2A loss, nearly universal in patients but dispensable in mouse models, is essential for neoplastic transformation when combined with KRAS and TP53 mutations, while SMAD4 loss promotes tumor progression. Multi-omics profiling reveals epigenetic repression of pancreatic lineage program during PDAC initiation, alongside oncogenic AP-1-driven chromatin remodeling. Notably, we identify TET1 suppression as a mechanistic link between oncogenic ERK signaling and the hypermethylation and silencing of essential pancreatic transcription factors. This model captures the genetic and epigenetic determinants of human PDAC, reveals antagonism between oncogenic and lineage restriction programs, and supports TET-based lineage restoration as a promising early intervention strategy for high-risk individuals.

cancer biology↗

FourC: identifying significant and differential contacts in 1D chromatin conformation data

4C-seq is a cost-effective 3C-based assay that measures the interactions between a single genomic element and all other genomic elements. However, 4C-seq data remains semi-quantitative because it cannot be deduplicated without UMIs. To address this, we developed an open source method, FourC, based on a Bayesian Bernoulli regression model, that overcomes the duplication problem and models spatial patterns with Gaussian processes to identify significantly enriched and differential contacts. We demonstrate the utility of FourC on 4C-seq data that profiles the local chromatin structure at key genes necessary for pancreatic differentiation and under CRISPR perturbation of enhancers.

bioinformatics↗