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Updated: Jul 12, 2026

Perspectives on Neuroscience
Published on: July 31, 2007
Cells and Networks in Flux: Rethinking Ontogenesis and Pathogenesis
1Department of Pathology and Genomic Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania.
Abstract:
Organ and tissue functions emerge from the coordinated activity of cell networks. Therapeutics that act on pathogenic cell networks, modulating their cellular interplay, follow naturally. Over several decades, our laboratory has developed a series of approaches for rewiring cell networks, culminating in a class of cell surface-directed signal converter proteins (SCPs) that do so by modulating juxtacrine and autocrine signaling in and among their nodal cells. A first such SCP has now produced encouraging clinical data for cancer immunotherapy. Yet, these early network-directed fusion proteins rest on a deliberately simplified picture: discrete end-cell types plugged into graphically tractable networks. That picture is increasingly at odds with what computational cell typing and spatiotemporal analytics, along with epigenetics, now reveal-a hyperdiverse, plastic, experience-shaped cellular landscape embedded in dynamic, multiway networks. Setting the stage for a next generation of network modulators, an extended cell differentiation synthesis is proposed, which formalizes paracell ultradifferentiation and aging-associated differentiation phases. According to this model, cells are ever evolving, and no two cells are alike. A richer cellular ontology forces a more elaborate network ontology, with paralogous networks and their shifting subnetworks opening a concrete design space for next-generation network-directed SCP therapeutics. This exploration calls for a willingness to embrace complexity more fully and borrow freely from conceptual fields close and afar.
Insights
New signal converter proteins (SCPs) rewire cell networks for cancer immunotherapy. Current models simplify cellular complexity, necessitating advanced approaches for next-generation SCP therapeutics targeting dynamic cell landscapes.
Area of Science:
- Cellular and Molecular Biology
- Systems Biology
- Immunotherapy
Background:
- Organ and tissue functions arise from complex cell network interactions.
- Signal converter proteins (SCPs) modulate cell signaling for therapeutic purposes.
- Early SCPs show promise in cancer immunotherapy but rely on simplified network models.
Purpose of the Study:
- To propose an advanced cell differentiation synthesis for next-generation network modulators.
- To accommodate the hyperdiverse and plastic nature of cellular landscapes.
- To inform the design of novel SCP therapeutics targeting complex cellular networks.
Main Methods:
- Development of cell surface-directed signal converter proteins (SCPs).
- Analysis of computational cell typing and spatio-temporal data.
- Integration of epigenetic insights into cellular heterogeneity.
- Formulation of an extended cell differentiation synthesis model.
Main Results:
- A first-generation SCP has yielded encouraging clinical data for cancer immunotherapy.
- Current simplified network models are insufficient for understanding cellular complexity.
- An extended cell differentiation synthesis formalizes paracrine ultra-differentiation and aging-associated phases.
- A richer cellular and network ontology is required for advanced therapeutic design.
Conclusions:
- Next-generation SCP therapeutics require a more sophisticated understanding of cellular dynamics and network complexity.
- Embracing cellular hyperdiversity and plasticity is crucial for future therapeutic development.
- Advanced network modulation strategies can be designed based on a more elaborate cellular ontology and network architecture.
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