Dynamic network curvature analysis of gene expression reveals novel potential therapeutic targets in sarcoma

Elkin, Rena, Oh, Jung Hun, Dela Cruz, Filemon, Norton, Larry, Deasy, Joseph O, Kung, Andrew L, Tannenbaum, Allen R (January 2024) Dynamic network curvature analysis of gene expression reveals novel potential therapeutic targets in sarcoma. Scientific Reports, 14 (1). p. 488. ISSN 2045-2322 (Public Dataset)

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Abstract

Network properties account for the complex relationship between genes, making it easier to identify complex patterns in their interactions. In this work, we leveraged these network properties for dual purposes. First, we clustered pediatric sarcoma tumors using network information flow as a similarity metric, computed by the Wasserstein distance. We demonstrate that this approach yields the best concordance with histological subtypes, validated against three state-of-the-art methods. Second, to identify molecular targets that would be missed by more conventional methods of analysis, we applied a novel unsupervised method to cluster gene interactomes represented as networks in pediatric sarcoma. RNA-Seq data were mapped to protein-level interactomes to construct weighted networks that were then subjected to a non-Euclidean, multi-scale geometric approach centered on a discrete notion of curvature. This provides a measure of the functional association among genes in the context of their connectivity. In confirmation of the validity of this method, hierarchical clustering revealed the characteristic EWSR1-FLI1 fusion in Ewing sarcoma. Furthermore, assessing the effects of in silico edge perturbations and simulated gene knockouts as quantified by changes in curvature, we found non-trivial gene associations not previously identified.

Item Type:	Paper
Subjects:	bioinformatics diseases & disorders > cancer bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification diseases & disorders bioinformatics > genomics and proteomics > genetics & nucleic acid processing bioinformatics > genomics and proteomics diseases & disorders > neoplasms organs, tissues, organelles, cell types and functions > cell types and functions > cell types > cell line organs, tissues, organelles, cell types and functions > cell types and functions > cell types > cell line organs, tissues, organelles, cell types and functions > cell types and functions > cell types > cell line organs, tissues, organelles, cell types and functions > cell types and functions > cell types organs, tissues, organelles, cell types and functions > cell types and functions > cell types organs, tissues, organelles, cell types and functions > cell types and functions > cell types organs, tissues, organelles, cell types and functions > cell types and functions bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function > gene expression bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function > gene network bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function > genes: types bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function > genes: types > oncogene organs, tissues, organelles, cell types and functions diseases & disorders > cancer > cancer types > sarcoma diseases & disorders > cancer > cancer types
CSHL Authors:	Norton, Larry
Communities:	CSHL labs > Wigler lab
SWORD Depositor:	CSHL Elements
Depositing User:	CSHL Elements
Date:	4 January 2024
Date Deposited:	08 Jan 2024 13:55
Last Modified:	09 Jan 2024 16:59
PMCID:	PMC10766622
Related URLs:	Publisher
Dataset ID:	SRA: SAMN38494083 SRA: SAMN38494152
URI:	https://repository.cshl.edu/id/eprint/41393

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