NLM DIR Seminar Schedule
UPCOMING SEMINARS
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July 3, 2025 Matthew Diller
Using Ontologies to Make Knowledge Computable -
July 15, 2025 Noam Rotenberg
Cell phenotypes in the biomedical literature: a systematic analysis and the NLM CellLink text mining corpus
RECENT SEMINARS
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July 3, 2025 Matthew Diller
Using Ontologies to Make Knowledge Computable -
July 1, 2025 Yoshitaka Inoue
Graph-Aware Interpretable Drug Response Prediction and LLM-Driven Multi-Agent Drug-Target Interaction Prediction -
June 10, 2025 Aleksandra Foerster
Interactions at pre-bonding distances and bond formation for open p-shell atoms: a step toward biomolecular interaction modeling using electrostatics -
June 3, 2025 MG Hirsch
Interactions among subclones and immunity controls melanoma progression -
May 29, 2025 Harutyun Sahakyan
In silico evolution of globular protein folds from random sequences
Scheduled Seminars on April 16, 2024
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
Evolutionary turnover in the cis-regulatory elements (CREs) of the human genome accounts for more than 90% of the phenotypic and disease associated traits. Some CREs undergo higher rates of substitution and if mutated, may be more likely to result in phenotypic changes. Genomic substrates of novel enhancer activity can be repurposed CREs, transposable elements, or neutral sequences leading to de-novo emergence. We used a deep learning model that’s capable of correlating nucleotide changes to differential enhancer activity and found that a large majority of CREs between humans and our next closest relatives, chimpanzees, have evolved by repurposing regulatory activity from other cell types. Our results highlight a set of predisposed elements that are more suited to regulatory innovation due to their sequence composition of transcription factor binding sites (TFBSs). TFBS enrichment analysis suggests that the repurposed elements do not conform to specific transcription programs. I will discuss results of our analysis that leads us to hypothesize that the repurposed CREs may act as redundant enhancers, are inefficiently integrated into the transcriptional circuitry, and buffer the impact of unfavorable mutations to confer regulatory robustness.