Computational analysis of the evolutionarily conserved Missing In Metastasis/Metastasis Suppressor 1 gene predicts novel interactions, regulatory regions and transcriptional control

dc.contributor.authorPetar Petrov
dc.contributor.authorAlexey V. Sarapulov
dc.contributor.authorLel Eöry
dc.contributor.authorCristina Scielzo
dc.contributor.authorLydia Scarfò
dc.contributor.authorJacqueline Smith
dc.contributor.authorDavid W. Burt
dc.contributor.authorPieta K. Mattila
dc.contributor.organizationfi=MediCity|en=MediCity|
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.contributor.organization-code2607100
dc.converis.publication-id40088803
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/40088803
dc.date.accessioned2022-10-28T13:20:35Z
dc.date.available2022-10-28T13:20:35Z
dc.description.abstractMissing in Metastasis (MIM), or Metastasis Suppressor 1 (MTSS1), is a highly conserved protein, which links the plasma membrane to the actin cytoskeleton. MIM has been implicated in various cancers, however, its modes of action remain largely enigmatic. Here, we performed an extensive in silico characterisation of MIM to gain better understanding of its function. We detected previously unappreciated functional motifs including adaptor protein (AP) complex interaction site and a C-helix, pointing to a role in endocytosis and regulation of actin dynamics, respectively. We also identified new functional regions, characterised with phosphorylation sites or distinct hydrophilic properties. Strong negative selection during evolution, yielding high conservation of MIM, has been combined with positive selection at key sites. Interestingly, our analysis of intra-molecular co-evolution revealed potential regulatory hotspots that coincided with reduced potentially pathogenic polymorphisms. We explored databases for the mutations and expression levels of MIM in cancer. Experimentally, we focused on chronic lymphocytic leukaemia (CLL), where MIM showed high overall expression, however, downregulation on poor prognosis samples. Finally, we propose strong conservation of MTSS1 also on the transcriptional level and predict novel transcriptional regulators. Our data highlight important targets for future studies on the role of MIM in different tissues and cancers.
dc.identifier.jour-issn2045-2322
dc.identifier.olddbid181402
dc.identifier.oldhandle10024/164496
dc.identifier.urihttps://www.utupub.fi/handle/11111/37940
dc.identifier.urnURN:NBN:fi-fe2021042826534
dc.language.isoen
dc.okm.affiliatedauthorPetrov, Petar
dc.okm.affiliatedauthorSarapulov, Alexey
dc.okm.affiliatedauthorMattila, Pieta
dc.okm.affiliatedauthorDataimport, MediCity
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline3122 Cancersen_GB
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.discipline3122 Syöpätauditfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherNATURE PUBLISHING GROUP
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.articlenumberARTN 4155
dc.relation.doi10.1038/s41598-019-40697-1
dc.relation.ispartofjournalScientific Reports
dc.relation.volume9
dc.source.identifierhttps://www.utupub.fi/handle/10024/164496
dc.titleComputational analysis of the evolutionarily conserved Missing In Metastasis/Metastasis Suppressor 1 gene predicts novel interactions, regulatory regions and transcriptional control
dc.year.issued2019

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