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How to solve problems Solving Aging
Fiction The Hike
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Status: Draft, early Project Outline Epistemic status: Extremely weak This is a early version of how a Coordinated Research Project for solving aging could look like, given my current assumptions.
We are complex multicellular organisms that have grown from two single cells to a trillion. This growth and the upkeep of the adult organism requires significant collaboration between cells and collective decision-making by cellular communities. We believe that the primary "master" driver of aging is the degeneration of this intercellular communication. Whether this is caused by bottom-up damage causing loss of signal transmission and reception or top-down forgetting or destruction of the morphological goal state does not matter: we predict simple restoration of intercellular communication patterns will lead to robust lifespan increases.
In order to test this hypothesis we are launching a new coordinated research effort, a collection of programs, institutions, FROs prizes and tools to read, write and understand the signals between cells. The following is a list of technologies needed to fully understand intercellular communication on all scales
Cells
Maybe not even needed, assumes we have to understand things before we can intevene.
Goal: Deterministic Control of Cell Futures
Input: Cells-on-a-Chip
Output: Cell State Identifier
Simulation: Multi-input BETSIE
Organs
Goal: 3D Video from Embryo to Death
Input: Ex Vivo Organ Models
How can we modulate in-vivo
Output: Multi-cell in-vivo Patch Clamp Array
How can we see what’s going on within tissues? How do animals and organisms grow, and which signals determine homeostasis of the morphological state?
Simulation: Electrome Clocks
Organism
Goal: Full Body Developmental Control
Input: Animal Models with Real Aging
Output: Continuous Exosome Monitor
Simulation: Exosome Clocks
- Cells
- Goal: Deterministic Control of Cell Futures
- Input: Cells-on-a-Chip
- Output: Cell State Identifier
- Simulation: Multi-input BETSIE
- Organs
- Goal: 3D Video from Embryo to Death
- Input: Ex Vivo Organ Models
- Output: Multi-cell in-vivo Patch Clamp Array
- Simulation: Electrome Clocks
- Organism
- Goal: Full Body Developmental Control
- Input: Animal Models with Real Aging
- Output: Continuous Exosome Monitor
- Simulation: Exosome Clocks