Local fractal dimension as an indicator of functional reorganization in molecular interaction networks
- 1Institute of Molecular Medicine, Center for Structural Mass Spectrometry, Martin Luther University Halle-Wittenberg, Halle, GermanyMartin Luther University Hall
Abstract
Changes in protein abundance incompletely describe how molecular perturbations reshape cellular organization. Here we introduce DIFFRACT, a framework that integrates quantitative proteomics with protein-protein interaction networks to identify reorganization through changes in local fractal dimension. Molecular associations define effective distances between connected proteins, allowing the geometry of their surrounding network neighborhoods to be compared across conditions. Analyses across four organisms (E. coli, A. thaliana, C. elegans, and H. sapiens) and three interaction resources (STRING, BioGRID, and IntAct) establish heterogeneous local scaling, while controlled perturbations demonstrate sensitivity to regional changes and invariance to uniform distance rescaling. Applied to RAVER1-deficient A549 cells, DIFFRACT identifies components associated with established RNA-regulatory functions and candidate roles in tRNA biology, mitochondrial organization and ciliogenesis. Selected RNA-regulatory and ciliary themes are not significantly enriched by abundance-ranked gene set analysis, supporting complementary information from network geometry. Selected functional annotations also recur in HEK293T cells. Guided by the ciliary predictions, we show that RAVER1 depletion increases the proportion of ciliated A549 cells 2.57-fold and increases cilium length. DIFFRACT thus connects changes in molecular network geometry to experimentally testable biological responses, extending the interpretation of proteomic perturbations beyond differential abundance.
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BibTeX
@misc{hause2026local,
title = {{Local fractal dimension as an indicator of functional reorganization in molecular interaction networks}},
author = {F. Hause and A. Wedler-Geyer and M. Lederer and T. Fuchs and C. H. Ihling and D. Taenzler and R. Keil and O. Sorokin and S. Wussow and A. Sinz and S. Huettelmaier},
howpublished = {bioRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.27.762149},
url = {https://www.biorxiv.org/content/10.64898/2026.10.27.762149v1},
note = {CC BY-NC-ND},
}
RIS
TY - UNPB
TI - Local fractal dimension as an indicator of functional reorganization in molecular interaction networks
AU - F. Hause
AU - A. Wedler-Geyer
AU - M. Lederer
AU - T. Fuchs
AU - C. H. Ihling
AU - D. Taenzler
AU - R. Keil
AU - O. Sorokin
AU - S. Wussow
AU - A. Sinz
AU - S. Huettelmaier
PY - 2026
DA - 2026/10/27
PB - bioRxiv
DO - 10.64898/2026.10.27.762149
UR - https://www.biorxiv.org/content/10.64898/2026.10.27.762149v1
AB - Changes in protein abundance incompletely describe how molecular perturbations reshape cellular organization. Here we introduce DIFFRACT, a framework that integrates quantitative proteomics with protein-protein interaction networks to identify reorganization through changes in local fractal dimension. Molecular associations define effective distances between connected proteins, allowing the geometry of their surrounding network neighborhoods to be compared across conditions. Analyses across four organisms (E. coli, A. thaliana, C. elegans, and H. sapiens) and three interaction resources (STRING, BioGRID, and IntAct) establish heterogeneous local scaling, while controlled perturbations demonstrate sensitivity to regional changes and invariance to uniform distance rescaling. Applied to RAVER1-deficient A549 cells, DIFFRACT identifies components associated with established RNA-regulatory functions and candidate roles in tRNA biology, mitochondrial organization and ciliogenesis. Selected RNA-regulatory and ciliary themes are not significantly enriched by abundance-ranked gene set analysis, supporting complementary information from network geometry. Selected functional annotations also recur in HEK293T cells. Guided by the ciliary predictions, we show that RAVER1 depletion increases the proportion of ciliated A549 cells 2.57-fold and increases cilium length. DIFFRACT thus connects changes in molecular network geometry to experimentally testable biological responses, extending the interpretation of proteomic perturbations beyond differential abundance.
ER -