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Enregistrement W2063497848 · doi:10.4161/15384101.2014.980700

Targeted protein degradation as a tumor suppressor

2014· article· en· W2063497848 sur OpenAlexaff
N. Özlem Arat, Lea Harrington

Notice bibliographique

RevueCell Cycle · 2014
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueUbiquitin and proteasome pathways
Établissements canadiensUniversité de MontréalInstitute for Research in Immunology and Cancer
Organismes subventionnairesnon disponible
Mots-clésBiologySuppressorCancer researchUbiquitinDegradation (telecommunications)Cell biologyProtein degradationCancerGeneticsGene

Résumé

récupéré en direct d'OpenAlex

Targeted protein degradation by the ubiquitin-proteasome system (UPS) has an essential role in carcinogenesis and cancer cell survival. Thus, the search for proteasome inhibitors is of great interest as a potential anticancer therapy.1 Recent studies by the Ferbeyre group suggest that certain UPS-targeted proteins play a role not just in carcinogenesis, but also in cellular senescence. The limited replicative potential of cells or tissues, called senescence, serves as a ‘mitotic clock’ for normal cell proliferation. During cancer development, it is often bypassed through inactivation of DNA damage checkpoints, and thus senescence is often considered a tumor suppressive mechanism.2 Senescence is induced by many causes such as telomere shortening, DNA damage, chromatin perturbations, oncogenes and reactive oxygen species (ROS).2 How these diverse triggers lead to cell cycle arrest and what common features define the senescent state is a topic under intensive investigation. The ubiquitin proteasome system (UPS) is a major protein degradation network in eukaryotic cells. One of the signaling networks that regulate the UPS is the Ras family of kinases. Ras is mutated in various cancer types and Ras signaling regulates cellular differentiation, survival, and proliferation. Extracellular signal regulated kinases (ERK) or MAP kinases (MAPK) are also commonly disrupted in cancer, and ubiquitinylation of Ras is essential to activate ERK/MAPK.3 Previously, Deschenes-Simard and colleagues uncovered a common feature of protein degradation in both Ras-induced and telomere dysfunction-induced senescence that they termed senescence-associated protein degradation (SAPD).4 In particular, they found that inhibition of ERK signaling attenuated Ras-induced senescence and permitted cells to adopt a transformed state.4 In order to model the specific proteome changes characteristic of SAPD, in the present study the authors compared the proteome of cells undergoing Ras-induced senescence in the absence or presence of the proteosome inhibitor MG132.5 The authors showed that Ras-induced senescence led to increased turnover of proteins whose functions are implicated in diverse cellular processes such as mitochondrion dysfunction (ATP5B, STAT3, TOM complex), proteotoxic stress (HSP27, HSP60, HSP90AB1), the DNA damage response, (CCDC6, SOD1, TOP2, Rap1), nucleolar and ribosome biogenesis dysfunction (NOLC1, NOP56/58, DDX1, NOL6, NOC2L, NCL, RPLP1, RSL1D1, NPM1), cell cycle arrest (YAP1, MCM2, ORCA, MYC, JUN, KAP1, TBX2), and impaired mRNA metabolism and translation (YBX1, SRRM1, SRRM2).5 Furthermore, some of these proteins, including RAP1, YAP1, MYC and STAT3, are also localized to PML nuclear bodies (PML-NBs) and are targets for sumoylation and phosphorylation followed by ubiquitylation, leading the authors to suggest that PML-NBs could be a site for nuclear SAPD. Figure 1. A schematic of the cellular processes affected by targeted protein degradation during Ras-induced senescence. Hyperactive ERK/MAPK (in red) leads to targeting of proteins to proteasomes for degradation (in blue). The authors suggest that PML nuclear bodies ... Other recently published findings support a role for the UPS as a trigger for the changes that accompany cellular aging; for example, proteosomal dysfunction can lead to mitochondrial ROS production, which is a common feature of the senescent state,6 and Mdm2-induced proteolysis of phosphoglycerate mutase is a hallmark of DNA damage-induced senescence.7 The precise mechanisms that link Ras, ERK and SAPD will be interesting to determine. For example, what are the key E3 ubiquitin ligases that trigger SAPD? The authors suggest CUL4A-DDB1 may be involved in Ras-induced SAPD5; if so, would this E3 ligase also be instrumental in DNA damage-induced or telomere dysfunction-induced senescence? An understanding of how these cellular networks become deranged will no doubt lead to further mechanistic insights not only in cellular senescence, but will hopefully also aid our understanding of aging and cancer.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,072
Score d'incertitude au seuil0,397

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,211
Écart entre enseignants0,205 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2014
Routes d'admission1
Résumé présentoui

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