An Integrated Experimental and Computational Framework for Testing Extracellular Material Memory
Year: 2026
Type: preprint
Abstract: This Perspective proposes an integrated experimental and computational framework for investigating extracellular material memory: whether a defined formation or conditioning history leaves persistent material features that influence cells introduced after the original stimulus has been withdrawn. Fibrin serves as an initial demonstrator. The proposed workflow separates encoding, retention, delayed cellular readout, selective material modification, and independent reconstruction of candidate features. It distinguishes extracellular retention from cellular mechanical memory, residual stimuli, and ongoing activity of persistent molecular components. The framework describes two implementation levels. A minimal platform combines controlled matrix preparation, quantitative imaging, mechanical characterization, and a standardized cellular assay. An expanded platform adds automation, multimodal measurements, uncertainty-aware prediction, and active learning to guide experiment and intervention selection. Computational models would be evaluated prospectively against simpler baselines using independently prepared specimens. Within the MMD, TMP, and MME research program, the article connects causal testing of altered microenvironments, investigation of material retention and readout, and controlled modification toward predefined functional targets. Explicit evidence gates distinguish positive findings, adequately supported negative results, and technically inconclusive outcomes. Immediate functional improvement, persistence after intervention withdrawal, and response to a subsequent challenge are assessed separately. Building on established research in fibrin mechanics, cellular mechanical memory, and computational biomaterial discovery, the contribution is an integrated research strategy rather than a claim to have discovered these phenomena. This document is a conceptual Perspective and research roadmap. It reports no new experimental results, validated computational platform, or demonstrated therapeutic efficacy. It does not represent participation or endorsement by any specific laboratory or institution. Version 2 - This Perspective proposes an integrated experimental and computational platform for testing whether a defined formation or conditioning history leaves a retained extracellular material state that influences subsequently introduced cells. Fibrin serves as an initial demonstrator, drawing on established evidence of loading-history dependence and structural adaptation. The proposed sequence combines controlled encoding, verified stimulus withdrawal, acellular retention, delayed cellular readout, material intervention, and independent reconstruction of candidate features. Three tables summarize platform capabilities, causal comparisons, and staged evidence gates. This updated version expands the strategy for evaluating both newly designed molecules and repurposed drugs. It distinguishes prevention of matrix formation from modification of an established substrate and defines Go/Modify/No-Go criteria for candidate advancement. Rentosertib provides an illustrative precedent for connecting AI-assisted discovery with experimental and clinical validation, without constituting evidence of extracellular memory erasure. Computational models and active learning are proposed as tools for prioritizing experiments and interventions. Their contribution would require prospective evaluation against simpler approaches using independently prepared specimens. Controls address residual drug activity, soluble carryover, nonspecific matrix damage, and cellular remodeling. The manuscript connects MMD, TMP, and MME as working conceptual frameworks while distinguishing material retention, causal biological effects, and durable functional improvement. This is a conceptual Perspective and research roadmap. It reports no new experimental results and does not establish therapeutic efficacy or provide a fully specified laboratory protocol.
Author: Gondim Moreira, Christiano
Language: English
Subfield: Cell Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7225457761