---
title: "Piezo1 membrane feedback drives self-organization into finite clusters"
id: "biorxiv-13-recursive-feedback-between-piezo1-conformation-and-membrane-mechanics-drives"
canonical_url: "https://medichelpline.com/clinical-feed/biorxiv-13-recursive-feedback-between-piezo1-conformation-and-membrane-mechanics-drives"
content_type: "clinical_feed_article"
specialty: "General"
source_name: "bioRxiv (Biomedical Preprints)"
source_url: "https://www.biorxiv.org/content/10.64898/2026.09.14.751624v1?rss=1"
published_at: "2026-09-20T12:00:00.000Z"
evidence_level: "Verified Feed"
license: "CC-BY-NC-4.0 / Informational Use"
---
# Piezo1 membrane feedback drives self-organization into finite clusters
## Provenance & Clinical Metadata
- **Canonical URL:** https://medichelpline.com/clinical-feed/biorxiv-13-recursive-feedback-between-piezo1-conformation-and-membrane-mechanics-drives
- **Specialty:** [General](https://medichelpline.com/clinical-feed/general.md)
- **Primary Source:** bioRxiv (Biomedical Preprints)
- **Source URL:** [Original Journal Publication](https://www.biorxiv.org/content/10.64898/2026.09.14.751624v1?rss=1)
- **Published At:** 2026-09-20T12:00:00.000Z
- **Evidence Rating:** Verified Feed
## Executive GIST (TL;DR)
- Piezo1 is a principal **mechanosensitive ion channel** that converts physical force into calcium-dependent signaling in cells. - The spatial state of Piezo1 — dispersed, assembled into **finite clusters**, or concentrated at membrane reorganization sites — affects how mechanotransduction is implemented in living membranes. - The authors identify a **membrane-feedback** mechanism: coupling channel conformation (shape) to membrane–cortex elasticity lets neighboring channels relax shared membrane deformations, producing an effective interaction. - This effective interaction has a short-range attraction and a longer-range repulsion; the balance between these forces determines whether channels remain dispersed or form mesoscale finite clusters. - Increasing **channel density** or **membrane tension** shifts Piezo1 from dispersed channels into finite clusters, placing Piezo1 organization within a common density–tension framework across cellular systems. - Brownian-dynamics simulations based on this mechanism reproduce experimentally observed cluster geometries and cluster growth driven by swelling. - Application of the same membrane-feedback mechanism to lipopolysaccharide (LPS)-activated macrophages shows receptor-induced membrane reorganization can locally concentrate Piezo1 above the clustering threshold. - The results reframe Piezo1 mechanotransduction from isolated single-channel force sensing to a **membrane-driven self-organization** process that spatially biases force-dependent calcium signaling. - Data and code supporting the study are available via the authors’ repository (link provided in the source).
## Clinical Analysis & Structured Key Points
Recursive feedback between Piezo1 conformation and membrane mechanics drives self-organization into finite clusters | bioRxiv Skip to main content New Results Recursive feedback between Piezo1 conformation and membrane mechanics drives self-organization into finite clusters View ORCID Profile Zixian Guo , View ORCID Profile Amrit Bagchi , View ORCID Profile Monika Dhankhar , View ORCID Profile Mohammad dehghany dahaj , View ORCID Profile Vivek Shenoy doi: https://doi.org/10.64898/2026.09.14.751624 Zixian Guo University of Pennsylvania Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Zixian Guo Amrit Bagchi University of Pennsylvania Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Amrit Bagchi Monika Dhankhar University of Pennsylvania Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Monika Dhankhar Mohammad dehghany dahaj University of Pennsylvania Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Mohammad dehghany dahaj Vivek Shenoy University of Pennsylvania Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Vivek Shenoy For correspondence: vshenoy{at}seas.upenn.edu Abstract Info/History Metrics Supplementary material Data/Code Preview PDF Abstract Piezo1 is a major mechanosensitive ion channel through which cells convert physical force into calcium-dependent signaling programs. In living membranes, this conversion depends not only on channel activation, but also on whether Piezo1 channels remain dispersed, assemble into finite clusters, or concentrate at sites where receptor signaling and mechanical forces reorganize the membrane. How single-channel force sensing is amplified into these collective spatial states remains unknown. Here we identify a membrane-feedback mechanism that converts single-channel mechanosensing into self-organized Piezo1 clusters. Coupling channel shape to membrane-cortex elasticity reveals that neighboring channels relax shared deformation fields, generating an effective interaction with short-range attraction opposed by longer-range repulsion. As channel density or membrane tension increases, this balanced interaction shifts Piezo1 from dispersed channels into mesoscale finite clusters. Brownian-dynamics simulations reproduce experimentally observed Piezo1 cluster geometries and swelling-induced cluster growth, while comparisons across distinct cellular systems place Piezo1 organization within a common density-tension framework. Applying the same mechanism to LPS-activated macrophages shows how receptor-induced membrane reorganization locally concentrates Piezo1 above the clustering threshold. Overall, these results recast Piezo1 mechanotransduction from isolated-channel force sensing to a membrane-driven self-organization process that spatially biases force-dependent calcium signaling within cells. Competing Interest Statement The authors have declared no competing interest. Footnotes https://github.com/zxguo98/Piezo1_Membrane_Organization Funder Information Declared National Institute of Health , U54CA261694 National Science Foundation , CMMI-154857 National Institute of Biomedical Imaging and Bioengineering (NIBIB) Awards , R01EB017753 , R01EB030876 National Institute of General Medical Sciences , R01GM155943 National Institute of Diabetes and Digestive and Kidney Diseases , R01DK144619 Copyright The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license . Back to top Previous Posted September 20, 2026. Download PDF Supplementary Material Data/Code Email Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. You are going to email the following Recursive feedback between Piezo1 conformation and membrane mechanics drives self-organization into finite clusters Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website. Your Personal Message CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Share Recursive feedback between Piezo1 conformation and membrane mechanics drives self-organization into finite clusters Zixian Guo , Amrit Bagchi , Monika Dhankhar , Mohammad dehghany dahaj , Vivek Shenoy bioRxiv 2026.09.14.751624; doi: https://doi.org/10.64898/2026.09.14.751624 Share This Article: Copy Citation Tools Recursive feedback between Piezo1 conformation and membrane mechanics drives self-organization into finite clusters Zixian Guo , Amrit Bagchi , Monika Dhankhar , Mohammad dehghany dahaj , Vivek Shenoy bioRxiv 2026.09.14.751624; doi: https://doi.org/10.64898/2026.09.14.751624 Citation Manager Formats BibTeX Bookends EasyBib EndNote (tagged) EndNote 8 (xml) Medlars Mendeley Papers RefWorks Tagged Ref Manager RIS Zotero Tweet Widget Facebook Like Google Plus One Subject Areas All Articles Animal Behavior and Cognition (8013) Biochemistry (18740) Bioengineering (14888) Bioinformatics (44432) Biophysics (22603) Cancer Biology (19725) Cell Biology (26902) Clinical Trials (138) Developmental Biology (13966) Ecology (21005) Epidemiology (2067) Evolutionary Biology (25455) Genetics (16167) Genomics (23508) Immunology (18709) Microbiology (42518) Molecular Biology (18060) Neuroscience (93461) Paleontology (700) Pathology (2978) Pharmacology and Toxicology (5096) Physiology (8114) Plant Biology (15999) Scientific Communication and Education (2095) Synthetic Biology (4560) Systems Biology (10235) Zoology (2391)
## Related Clinical Research

- [NIH K Awards and Clinical Trial Components: Characterizing Trial Types and Sizes](https://medichelpline.com/clinical-feed/medrxiv-21-clinical-trial-components-of-nih-career-development-awards-supporting-the.md)
- [Jehovah’s Witnesses permit blood-derived products but keep ban on whole-blood transfusions](https://medichelpline.com/clinical-feed/stat-news-0-jehovah-s-witnesses-allow-blood-derived-products-but-keep-ban-on-whole-blood.md)
- [8-hour time-restricted eating yields greater weight loss but not consistent blood pressure benefits](https://medichelpline.com/clinical-feed/medical-news-today-0-16-8-intermittent-fasting-best-for-weight-loss-but-not-for-blood-pressure.md)
- [Barriers to Primary Healthcare for the Rural Bangladeshi Elderly: A Social Ecological Model Review](https://medichelpline.com/clinical-feed/plos-one-19-using-the-social-ecological-model-to-identify-barriers-to-accessing-and-using.md)
- [Impact of Mandatory Healthy Checkout Policies on Retail Food Environments](https://medichelpline.com/clinical-feed/plos-medicine-1-the-retail-food-environment-following-a-mandatory-healthy-checkout-policy-a.md)

## Navigation
- [← Back to General Feed](https://medichelpline.com/clinical-feed/general.md)
- [← All Clinical Specialties](https://medichelpline.com/clinical-feed.md)
## Medical & Regulatory Disclaimer

> [!CAUTION]
> MedicHelpline content is structured for research, educational, and professional discovery purposes. It does not constitute individual medical advice, clinical diagnosis, or treatment recommendations.
> Always verify dosing, contraindications, and regulatory alerts against official product labeling and primary regulatory sources before clinical decision-making.