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PXD007644

PXD007644 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteomic dissection of substrate nanotopography-sensitive mechanotransductive signalling hubs that foster neuronal differentiation.
DescriptionNeuronal cells are competent in precisely sensing nanotopographical features of their microenvironment and the intrinsic information impacts on neuronal functioning and differentiation “interpreted” by mechanotransductive processes. Attempts to influence and direct neuronal differentiation behaviour by engineering substrates that mimic appropriate extracellular matrix (ECM) topographies are hampered by the difficulty since many details of mechanosensing/-transduction are still elusive. Introducing omics methods into these biomaterial approaches has the potential to provide a deeper insight into the molecular processes and signalling cascades underlying mechanosensing/-transduction but their exigence in cellular material is often opposed by technical limitations of the biomaterial fabrication methods. Supersonic cluster beam deposition (SCBD) of zirconia nanoparticles allows instead the realisation of large macroscopic areas with biocompatible nanostructured films equipped with controllable and reproducible ECM-like nanoroughness that have been recently shown to foster neuron differentiation and maturation. Exploiting this capacity of SCBD, we challenged mechanosensing/-transduction and differentiative behaviour of neuron-like PC12 cells interacting with diverse nanotopographies and/or by changing their biomechanical status, to analyse their phosphoproteomic profiles in these settings. Versatile proteins were found to be affected that can be associated to significant processes along the mechanotransductive signal sequence, i.e. cell/cell interaction, glycocalyx and ECM, membrane/f-actin linkage and integrin activation, cell/substrate interaction, IAC, actomyosin organisation/cellular mechanics, nuclear organisation and transcription. The phosphoproteomic data suggested furthermore an involvement of ILK, mTor, Wnt and calcium signalling in these nanotopography- and/or cell mechanics-related processes. Altogether, potential nanotopography-sensitive, mechanotransductive signalling hubs participating to neuronal differentiation were dissected.
HostingRepositoryPRIDE
AnnounceDate2018-01-24
AnnouncementXMLSubmission_2018-10-08_03:52:42.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmittergabriella tedeschi
SpeciesList scientific name: Rattus norvegicus (Rat); NCBI TaxID: 10116;
ModificationListL-methionine sulfoxide; phosphorylated residue; iodoacetamide derivatized residue
InstrumentLTQ Orbitrap Velos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02017-09-04 05:22:09ID requested
12018-01-25 01:32:30announced
22018-10-08 03:52:44announcedUpdated publication reference for PubMed record(s): 30290237, 29354032.
Publication List
Maffioli E, Schulte C, Nonnis S, Grassi Scalvini F, Piazzoni C, Lenardi C, Negri A, Milani P, Tedeschi G, Proteomic Dissection of Nanotopography-Sensitive Mechanotransductive Signaling Hubs that Foster Neuronal Differentiation in PC12 Cells. Front Cell Neurosci, 11():417(2017) [pubmed]
Tripodi F, Castoldi A, Nicastro R, Reghellin V, Lombardi L, Airoldi C, Falletta E, Maffioli E, Scarcia P, Palmieri L, Alberghina L, Agrimi G, Tedeschi G, Coccetti P, Methionine supplementation stimulates mitochondrial respiration. Biochim Biophys Acta Mol Cell Res, 1865(12):1901-1913(2018) [pubmed]
Keyword List
curator keyword: Biological
submitter keyword: biomaterial, mechanotransduction, cell mechanics, biophysics, PC12 cells, quantitative proteomics, shot gun proteomics, integrin signalling, zirconia nanosubstrates, neuronal differentiation, NGF
Contact List
Gabriella Tedeschi
contact affiliationDipartimento di Medicina Veterinaria, Università degli Studi di Milano, Milano; Italy
contact emailgabriella.tedeschi@unimi.it
lab head
gabriella tedeschi
contact affiliationUniversity of Milano
contact emailgabriella.tedeschi@unimi.it
dataset submitter
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