Cargando…
Computational Identification of Phospho-Tyrosine Sub-Networks Related to Acanthocyte Generation in Neuroacanthocytosis
Acanthocytes, abnormal thorny red blood cells (RBC), are one of the biological hallmarks of neuroacanthocytosis syndromes (NA), a group of rare hereditary neurodegenerative disorders. Since RBCs are easily accessible, the study of acanthocytes in NA may provide insights into potential mechanisms of...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280254/ https://www.ncbi.nlm.nih.gov/pubmed/22355334 http://dx.doi.org/10.1371/journal.pone.0031015 |
_version_ | 1782223800997249024 |
---|---|
author | De Franceschi, Lucia Scardoni, Giovanni Tomelleri, Carlo Danek, Adrian Walker, Ruth H. Jung, Hans H. Bader, Benedikt Mazzucco, Sara Dotti, Maria Teresa Siciliano, Angela Pantaleo, Antonella Laudanna, Carlo |
author_facet | De Franceschi, Lucia Scardoni, Giovanni Tomelleri, Carlo Danek, Adrian Walker, Ruth H. Jung, Hans H. Bader, Benedikt Mazzucco, Sara Dotti, Maria Teresa Siciliano, Angela Pantaleo, Antonella Laudanna, Carlo |
author_sort | De Franceschi, Lucia |
collection | PubMed |
description | Acanthocytes, abnormal thorny red blood cells (RBC), are one of the biological hallmarks of neuroacanthocytosis syndromes (NA), a group of rare hereditary neurodegenerative disorders. Since RBCs are easily accessible, the study of acanthocytes in NA may provide insights into potential mechanisms of neurodegeneration. Previous studies have shown that changes in RBC membrane protein phosphorylation state affect RBC membrane mechanical stability and morphology. Here, we coupled tyrosine-phosphoproteomic analysis to topological network analysis. We aimed to predict signaling sub-networks possibly involved in the generation of acanthocytes in patients affected by the two core NA disorders, namely McLeod syndrome (MLS, XK-related, Xk protein) and chorea-acanthocytosis (ChAc, VPS13A-related, chorein protein). The experimentally determined phosphoproteomic data-sets allowed us to relate the subsequent network analysis to the pathogenetic background. To reduce the network complexity, we combined several algorithms of topological network analysis including cluster determination by shortest path analysis, protein categorization based on centrality indexes, along with annotation-based node filtering. We first identified XK- and VPS13A-related protein-protein interaction networks by identifying all the interactomic shortest paths linking Xk and chorein to the corresponding set of proteins whose tyrosine phosphorylation was altered in patients. These networks include the most likely paths of functional influence of Xk and chorein on phosphorylated proteins. We further refined the analysis by extracting restricted sets of highly interacting signaling proteins representing a common molecular background bridging the generation of acanthocytes in MLS and ChAc. The final analysis pointed to a novel, very restricted, signaling module of 14 highly interconnected kinases, whose alteration is possibly involved in generation of acanthocytes in MLS and ChAc. |
format | Online Article Text |
id | pubmed-3280254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-32802542012-02-21 Computational Identification of Phospho-Tyrosine Sub-Networks Related to Acanthocyte Generation in Neuroacanthocytosis De Franceschi, Lucia Scardoni, Giovanni Tomelleri, Carlo Danek, Adrian Walker, Ruth H. Jung, Hans H. Bader, Benedikt Mazzucco, Sara Dotti, Maria Teresa Siciliano, Angela Pantaleo, Antonella Laudanna, Carlo PLoS One Research Article Acanthocytes, abnormal thorny red blood cells (RBC), are one of the biological hallmarks of neuroacanthocytosis syndromes (NA), a group of rare hereditary neurodegenerative disorders. Since RBCs are easily accessible, the study of acanthocytes in NA may provide insights into potential mechanisms of neurodegeneration. Previous studies have shown that changes in RBC membrane protein phosphorylation state affect RBC membrane mechanical stability and morphology. Here, we coupled tyrosine-phosphoproteomic analysis to topological network analysis. We aimed to predict signaling sub-networks possibly involved in the generation of acanthocytes in patients affected by the two core NA disorders, namely McLeod syndrome (MLS, XK-related, Xk protein) and chorea-acanthocytosis (ChAc, VPS13A-related, chorein protein). The experimentally determined phosphoproteomic data-sets allowed us to relate the subsequent network analysis to the pathogenetic background. To reduce the network complexity, we combined several algorithms of topological network analysis including cluster determination by shortest path analysis, protein categorization based on centrality indexes, along with annotation-based node filtering. We first identified XK- and VPS13A-related protein-protein interaction networks by identifying all the interactomic shortest paths linking Xk and chorein to the corresponding set of proteins whose tyrosine phosphorylation was altered in patients. These networks include the most likely paths of functional influence of Xk and chorein on phosphorylated proteins. We further refined the analysis by extracting restricted sets of highly interacting signaling proteins representing a common molecular background bridging the generation of acanthocytes in MLS and ChAc. The final analysis pointed to a novel, very restricted, signaling module of 14 highly interconnected kinases, whose alteration is possibly involved in generation of acanthocytes in MLS and ChAc. Public Library of Science 2012-02-15 /pmc/articles/PMC3280254/ /pubmed/22355334 http://dx.doi.org/10.1371/journal.pone.0031015 Text en De Franceschi et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article De Franceschi, Lucia Scardoni, Giovanni Tomelleri, Carlo Danek, Adrian Walker, Ruth H. Jung, Hans H. Bader, Benedikt Mazzucco, Sara Dotti, Maria Teresa Siciliano, Angela Pantaleo, Antonella Laudanna, Carlo Computational Identification of Phospho-Tyrosine Sub-Networks Related to Acanthocyte Generation in Neuroacanthocytosis |
title | Computational Identification of Phospho-Tyrosine Sub-Networks Related to Acanthocyte Generation in Neuroacanthocytosis |
title_full | Computational Identification of Phospho-Tyrosine Sub-Networks Related to Acanthocyte Generation in Neuroacanthocytosis |
title_fullStr | Computational Identification of Phospho-Tyrosine Sub-Networks Related to Acanthocyte Generation in Neuroacanthocytosis |
title_full_unstemmed | Computational Identification of Phospho-Tyrosine Sub-Networks Related to Acanthocyte Generation in Neuroacanthocytosis |
title_short | Computational Identification of Phospho-Tyrosine Sub-Networks Related to Acanthocyte Generation in Neuroacanthocytosis |
title_sort | computational identification of phospho-tyrosine sub-networks related to acanthocyte generation in neuroacanthocytosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280254/ https://www.ncbi.nlm.nih.gov/pubmed/22355334 http://dx.doi.org/10.1371/journal.pone.0031015 |
work_keys_str_mv | AT defranceschilucia computationalidentificationofphosphotyrosinesubnetworksrelatedtoacanthocytegenerationinneuroacanthocytosis AT scardonigiovanni computationalidentificationofphosphotyrosinesubnetworksrelatedtoacanthocytegenerationinneuroacanthocytosis AT tomellericarlo computationalidentificationofphosphotyrosinesubnetworksrelatedtoacanthocytegenerationinneuroacanthocytosis AT danekadrian computationalidentificationofphosphotyrosinesubnetworksrelatedtoacanthocytegenerationinneuroacanthocytosis AT walkerruthh computationalidentificationofphosphotyrosinesubnetworksrelatedtoacanthocytegenerationinneuroacanthocytosis AT junghansh computationalidentificationofphosphotyrosinesubnetworksrelatedtoacanthocytegenerationinneuroacanthocytosis AT baderbenedikt computationalidentificationofphosphotyrosinesubnetworksrelatedtoacanthocytegenerationinneuroacanthocytosis AT mazzuccosara computationalidentificationofphosphotyrosinesubnetworksrelatedtoacanthocytegenerationinneuroacanthocytosis AT dottimariateresa computationalidentificationofphosphotyrosinesubnetworksrelatedtoacanthocytegenerationinneuroacanthocytosis AT sicilianoangela computationalidentificationofphosphotyrosinesubnetworksrelatedtoacanthocytegenerationinneuroacanthocytosis AT pantaleoantonella computationalidentificationofphosphotyrosinesubnetworksrelatedtoacanthocytegenerationinneuroacanthocytosis AT laudannacarlo computationalidentificationofphosphotyrosinesubnetworksrelatedtoacanthocytegenerationinneuroacanthocytosis |