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Updated: Aug 23, 2026

Mimicking the Function of Signaling Proteins: Toward Artificial Signal Transduction Therapy
Published on: September 29, 2016
Making mechanistic connections between cell signaling pathways and pathological endpoints
1Lilly Research Laboratories, A Division of Eli Lilly and Company, Greenfield, Indiana 46140, USA. davisma@lilly.com
Abstract:
Cell signaling is a term used to describe a complex interactive system of signals that act to regulate or mediate a cellular response. Therapies that target cell signaling pathways have the potential to effectively reverse molecular deregulation underlying disease. The inherent complexity of cell signaling presents a major challenge to designing such therapies however, because perturbation of pathways has the potential to produce dramatic adverse effects. Pathologists are in the primary position of detecting adverse responses in drug development and are essential members of teams whose goal is to determine the mechanisms underlying tissue responses. The pathologist therefore will be expected to integrate morphologic interpretation with data obtained from several laboratory-based methods and data derived from novel technologies. Approaches being used include several in silico tools that provide access to public databases and signal pathway visualization that can serve to focus on key mechanistic hypotheses. The main objective of this article is to discuss a basic mechanistic approach and methods that can be used to associate modulation of cell signaling pathways with pathologic endpoints. The approach suggested begins with diagnostic pathology and uses global gene expression analysis in conjunction with transcription factor profiling and confirmatory protein technologies, to elucidate pathways relevant to the biological mechanism. Another important objective is to highlight the use of in silico technologies to prioritize laboratory efforts and focus these efforts on key hypotheses.
Insights
This study outlines a pathology-driven approach to understand cell signaling in disease. It integrates diagnostic pathology with advanced methods to link pathway modulation to adverse effects, aiding drug development.
Area of Science:
- Cellular biology
- Molecular pathology
- Pharmacology
Background:
- Cell signaling pathways regulate cellular responses and are key targets for disease therapies.
- Therapeutic targeting of cell signaling is complex, with potential for adverse effects.
- Pathologists play a crucial role in identifying and understanding drug-induced tissue responses.
Purpose of the Study:
- To present a mechanistic approach for associating cell signaling pathway modulation with pathologic endpoints.
- To discuss methods for elucidating biological mechanisms underlying cellular responses.
- To highlight the utility of in silico technologies in prioritizing research efforts.
Main Methods:
- Diagnostic pathology for initial assessment.
- Global gene expression analysis.
- Transcription factor profiling and confirmatory protein technologies.
- In silico tools for database access and pathway visualization.
Main Results:
- The proposed approach integrates morphologic interpretation with molecular data.
- In silico tools aid in focusing on key mechanistic hypotheses.
- Combined methods elucidate pathways relevant to biological mechanisms.
Conclusions:
- A systematic approach linking cell signaling to pathology is essential for effective drug development.
- Integrating diverse data types, including in silico analysis, enhances mechanistic understanding.
- This strategy helps identify and mitigate adverse effects of targeted therapies.
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