dc.contributor.author
Thobe, Kirsten
dc.contributor.author
Sers, Christine
dc.contributor.author
Siebert, Heike
dc.date.accessioned
2018-06-08T11:09:03Z
dc.date.available
2017-02-20T11:49:07.473Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/21699
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-24987
dc.description.abstract
Background The mammalian target of rapamycin (mTOR) is a regulator of cell
proliferation, cell growth and apoptosis working through two distinct
complexes: mTORC1 and mTORC2. Although much is known about the activation and
inactivation of mTORC1, the processes controlling mTORC2 remain poorly
characterized. Experimental and modeling studies have attempted to explain the
regulation of mTORC2 but have yielded several conflicting hypotheses. More
specifically, the Phosphoinositide 3-kinase (PI3K) pathway was shown to be
involved in this process, but the identity of the kinase interacting with and
regulating mTORC2 remains to be determined (Cybulski and Hall, Trends Biochem
Sci 34:620-7, 2009). Method We performed a literature search and identified 5
published hypotheses describing mTORC2 regulation. Based on these hypotheses,
we built logical models, not only for each single hypothesis but also for all
combinations and possible mechanisms among them. Based on data provided by the
original studies, a systematic analysis of all models was performed. Results
We were able to find models that account for experimental observations from
every original study, but do not require all 5 hypotheses to be implemented.
Surprisingly, all hypotheses were in agreement with all tested data gathered
from the different studies and PI3K was identified as an essential regulator
of mTORC2. Conclusion The results and additional data suggest that more than
one regulator is necessary to explain the behavior of mTORC2. Finally, this
study proposes a new experiment to validate mTORC1 as second essential
regulator.
de
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Logical modeling
dc.subject
mTORC2 regulation
dc.subject
Cancer signaling
dc.subject.ddc
500 Naturwissenschaften und Mathematik::510 Mathematik
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie
dc.title
Unraveling the regulation of mTORC2 using logical modeling
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
Cell Communication and Signaling. - 15 (2017), Artikel Nr. 6
dcterms.bibliographicCitation.doi
10.1186/s12964-016-0159-5
dcterms.bibliographicCitation.url
http://biosignaling.biomedcentral.com/articles/10.1186/s12964-016-0159-5
refubium.affiliation
Mathematik und Informatik
de
refubium.affiliation
Charité - Universitätsmedizin Berlin
de
refubium.mycore.fudocsId
FUDOCS_document_000000026378
refubium.note.author
Der Artikel wurde in einer reinen Open-Access-Zeitschrift publiziert.
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000007718
dcterms.accessRights.openaire
open access