NLM DIR Seminar Schedule
UPCOMING SEMINARS
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March 25, 2025 Yifan Yang
TBD -
April 1, 2025 Roman Kogay
TBD -
April 8, 2025 Jaya Srivastava
TBD -
April 15, 2025 Pascal Mutz
TBD -
April 18, 2025 Valentina Boeva, Department of Computer Science, ETH Zurich
Decoding tumor heterogeneity: computational methods for scRNA-seq and spatial omics
RECENT SEMINARS
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March 11, 2025 Sofya Garushyants
Tmn – bacterial anti-phage defense system -
March 4, 2025 Sanasar Babajanyan
Evolution of antivirus defense in prokaryotes depending on the environmental virus load -
Feb. 25, 2025 Zhizheng Wang
GeneAgent: Self-verification Language Agent for Gene Set Analysis using Domain Databases -
Feb. 18, 2025 Samuel Lee
Efficient predictions of alternative protein conformations by AlphaFold2-based sequence association -
Feb. 11, 2025 Po-Ting Lai
Enhancing Biomedical Relation Extraction with Directionality
Scheduled Seminars on Feb. 9, 2023
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
Millions of enhancers have been predicted in the human and mouse genomes based on enhancer-like signatures or massively parallel report assays (MPRAs). The number of experimentally validated in vivo enhancer-promoter pairs is, however, only in the dozens. How exactly tens of thousands of enhancers and active promoters in a cell organize into transcription regulatory loops remains unclear.
Using TF enrichment as an indicator of enhancer strength, we identified a portion of H3K27ac peaks as potentially strong enhancers and found a universal pattern of promoter and enhancer distribution that would not show if all the H3K27ac peaks are counted as enhancers: At actively transcribed regions of length of ~200-300kb, the numbers of active promoters and enhancers are inversely related. Super enhancers or enhancer clusters are associated with isolated active promoters, regardless of the gene’s cell-type specificity. As the number of nearby active promoters increases, the number of enhancers decreases. At regions where multiple active genes are closely located, there are few distant enhancers. With Hi-C analysis, we demonstrate that the interactions among the regulatory elements occur predominantly in clusters and multiway among linearly close elements . We propose a simple model of spatial organization of active promoters and enhancers: Gene transcriptions and regulations mainly occur at local active transcription hubs contributed dynamically by multiple elements from linearly close enhancers and/or active promoters. The model can be represented with a flower-shaped structure. Furthermore, local transcription hubs from distant parts of a chromosome can get into contact and form larger hubs, reflected as nodes in hierarchical TAD structures in Hi-C contact maps.