NLM DIR Seminar Schedule
UPCOMING SEMINARS
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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 -
April 22, 2025 Stanley Liang
TBD -
April 29, 2025 MG Hirsch
TBD
RECENT SEMINARS
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April 1, 2025 Roman Kogay
Horizontal transfer of bacterial operons into eukaryote genomes -
March 25, 2025 Yifan Yang
Adversarial Manipulation and Data Memorization in Large Language Models for Medicine -
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
Scheduled Seminars on Dec. 4, 2023
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
The complexity of Alzheimer’s Disease (AD) means that approaches for effective therapeutic target identification and drug development need to be multifaceted. Genetically identified target genes have yet to be shown as clinically effective as drug targets. Data driven approaches to discovery are far more successful when tightly linked to predictive assessment in biological systems. Using a comparative systems approach, we have focused upon the activity of individual pathways to map dysregulated function across human and model systems. Integrated Pathway Activity Analysis (IPAA) compares human brains with 3D Alzheimer’s disease (AD) neural cell culture models, ensuring selection of the most accurate model. This approach identifies crucial pathways and new drug candidates, validated in neural cell culture models, accelerating the development of AD interventions. Precise alignment of cellular model functional recapitulation with human AD pathology streamlines drug discovery and minimizes the risk of clinical trial failures. The P38 MAPK pathway is identified as a key dysregulated pathway, consistently activated in both AD brains and 3D AD neural cell culture models. We validated the impact of this pathway by therapeutic intervention with known clinical p38 MAPK inhibitors. We are now exploring the potential modulation of pathogenic pathways using microRNAs (miRNAs). Utilizing a miRNA-Pathway prediction framework, PanomiR, we systematically analyze the role of miRNAs in regulating the multi-pathway activity events we have discovered related to AD. This approach has led to the identification of key miRNAs that target coordinated groups of disease pathways, offering novel insights into the regulatory mechanisms in AD and highlighting potential therapeutic candidates.