A reversible epigenetic memory of inflammatory injury controls lineage plasticity and tumor initiation in the mouse pancreas.

Inflammation is essential to the disruption of tissue homeostasis and can destabilize the identity of lineage-committed epithelial cells. Here, we employ lineage-traced mouse models, single-cell transcriptomic and chromatin analyses, and CUT&TAG to identify an epigenetic memory of inflammatory injury in the pancreatic acinar cell compartment. Despite resolution of pancreatitis, our data show that acinar cells fail to return to their molecular baseline, with retention of elevated chromatin accessibility and H3K4me1 at metaplasia genes, such that memory represents an incomplete cell fate decision. In vivo, we find this epigenetic memory controls lineage plasticity, with diminished metaplasia in response to a second insult but increased tumorigenesis with an oncogenic Kras mutation. The lowered threshold for oncogenic transformation, in turn, can be restored by blockade of MAPK signaling. Together, we define the chromatin dynamics, molecular encoding, and recall of a prolonged epigenetic memory of inflammatory injury that impacts future responses but remains reversible.

Comparison of protein capture from a human cancer cell line by genomic G-quadruplex DNA sequences toward aptamer discovery.

A genome-inspired route to aptamer discovery that expands the sequence space beyond that available in traditional, combinatorial selection approaches is investigated for discovery of DNA-protein interactions in cancer. These interactions could then serve as the basis for new DNA aptamers to cancer-related proteins. The genome-inspired approach uses specific DNA sequences from the human genome to capture proteins from biological protein pools. The use of naturally occurring DNA sequences takes advantage of biological evolution of DNA sequences that bind to specific proteins to perform biological functions. Linking aptamer discovery to nature increa`ses the chances of uncovering protein-DNA affinity binding interactions that have biological significance as well as analytical utility. Here, the focus is on genomic, G-rich sequences that can form G-quadruplex (G4) structures. These structures are underrepresented in combinatorial libraries used for conventional aptamer selection. Additionally, G4-forming sequences are prone to inefficient PCR amplification, further biasing aptamer selection away from these structures. Nature provides a large diversity of G4-forming sequences throughout the human genome. They are prevalent in gene promoter regions, especially in oncogene promoters, and are therefore promising candidates for aptamers to regulatory proteins in cancer. The present work investigates protein capture from nuclear and cytoplasmic extracts of the breast cancer cell line MDA-MB-468 by G4-forming sequences from the CMYC, RB, and VEGF gene promoters. The studies included the effects of modifications of the VEGF sequence on the selectivity of protein capture, from which we identified promising aptamer candidates, subject to further refinement, to the proteins nucleolin and RPL19, both of which play important regulatory functions related to cancer.