2022
DOI: 10.1016/j.csbj.2022.07.006
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Biological interacting units identified in human protein networks reveal tissue-functional diversification and its impact on disease

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Cited by 2 publications
(3 citation statements)
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“…To understand whether the phenotypic commonalities observed in ALS and SMA might result from the deregulation of distinct, but functionally connected target proteins, we used a computational network-based approach. First, following our recently published approach [ 69 ], we generated a library of tissue-specific "functional modules" comprised of physically interacting and functionally collaborating neuronal proteins (Fig. 3 A).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To understand whether the phenotypic commonalities observed in ALS and SMA might result from the deregulation of distinct, but functionally connected target proteins, we used a computational network-based approach. First, following our recently published approach [ 69 ], we generated a library of tissue-specific "functional modules" comprised of physically interacting and functionally collaborating neuronal proteins (Fig. 3 A).…”
Section: Resultsmentioning
confidence: 99%
“…To investigate this possibility, we mapped the de-regulated transcripts identified in our transcriptomic analysis onto a comprehensive and non-biased library of neuronal physically interacting and functionally collaborating protein consortia. Following our recently published approach [ 69 ], definition of these functional units was achieved through the integration publicly available information from Drosophila PPI networks, neuronal gene expression and gene ontology annotations. This approach led to the identification of a set of 52 functional modules significantly impacted by all three proteins through the regulation of distinct components (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…To understand whether the phenotypic commonalities observed in ALS and SMA might result from the deregulation of distinct, but functionally connected target proteins, we used a computational network-based approach. First, following our recently published approach (Garcia-Vaquero et al 2022), we generated a library of tissue-specific “functional modules” comprised of physically interacting and functionally collaborating neuronal proteins (Fig. 3A).…”
Section: Resultsmentioning
confidence: 99%