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Enregistrement W2430251295 · doi:10.1038/cdd.2016.49

Chewing the fat about death with the neighbours

2016· editorial· en· W2430251295 sur OpenAlexaff
W. Brent Derry

Notice bibliographique

RevueCell Death and Differentiation · 2016
Typeeditorial
Langueen
DomaineMedicine
ThématiqueAutophagy in Disease and Therapy
Établissements canadiensHospital for Sick ChildrenUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésProgrammed cell deathNecroptosisApoptosisAutophagyCell biologyBiologyFADDCellCaspaseGenetics

Résumé

récupéré en direct d'OpenAlex

Pointed threats, they bluff with scorn Suicide remarks are torn From the fool's gold mouthpiece the hollow horn Plays wasted words, proves to warn That he not busy being born is busy dying (Bob Dylan, 'It's Alright, Ma (I'm Only Bleeding)') There are as many ways to interpret Bob Dylan's lyrics as there are ways that a cell can die. Like Dylan's music, the cell death field has undergone several transformations over the years. In the early days cell death could be divided into three categories based primarily on morphology: Type 1 (programmed cell death or apoptosis), Type 2 (cell death with autophagy), and Type 3 (necrosis).1, 2 Genetic approaches in model organisms like Caenorhabditis elegans and Drosophila uncovered the apoptotic cell death genes and ordered them into pathways,3, 4 while biochemical approaches, primarily in cell lines, established the molecular mechanisms by which apoptosis proteins function. Chemical approaches were instrumental in the subsequent identification and study of non-apoptotic forms of cell death, such as necroptosis and ferroptosis.5, 6 The two reviews in this issue of CDD cover the roads less travelled on the journey to death. They address how signals from neighbouring cells license and fine-tune the apoptotic machinery, and detail the role of lipids in non-apoptotic cell death. Apoptotic cell death can be activated through either the intrinsic (mitochondrial) or extrinsic (death receptor) pathways, and over the years much effort has been focused on understanding the detailed molecular mechanisms by which the proteins in these pathways function. However, until recently, much less attention has been paid to the influence of neighbouring cells on the death process. It is well known that apoptosis can be regulated by exogenous factors, such as cytokines and nerve growth factor, but there are many differences in how cells die in vivo versus in vitro. Genetic studies in worms have taught us that the engulfing cell can help promote the execution of a neighbour fated to die, and secreted factors can license the execution machinery.7, 8, 9, 10 Work in Drosophila has shown that secreted factors collaborate with the core apoptosis pathway to fine-tune its activity, and dying cells (or cells primed for apoptotic death) can stimulate proliferation of their neighbours in a process called compensatory proliferation.11 The review by Eroglu and Derry focuses on recent advances in cell non-autonomous mechanisms that regulate apoptosis, a topic that has important implications in development and disease. While we still have much to learn about apoptosis, a series of papers have recently described alternate ways in which cells can die. These forms of non-apoptotic death, referred to as regulated cell death, involve distinct effector molecules and unique morphological changes. One might even say that we have entered a new renaissance in the cell death field, as we begin to embrace the many forms of cell death that can occur. The review by Matanong, Ko and Dixon tackles the mysterious roles of lipids in regulated cell death. Not only do lipids assist in the formation of pores in cellular membranes that cause their contents to bleed out, but they also serve as signalling molecules in apoptosis and regulated cell death. The plasma membrane is comprised of many different lipid molecules that can be called into action to initiate or assist in various forms of cell death, but we really do not understand how cells utilize these lipids (or 'chew the fat') in these processes. Decoding the logic of how lipids function has important implications in the treatment of numerous diseases that have defects in both apoptotic and regulated cell death (Figure 1). Figure 1 Cells use a variety of molecules, including fatty acids, to assist their neighbours with suicide There are many questions remaining to be answered about non-autonomous apoptosis and the molecular mechanisms of regulated cell death. The intense debate in these areas is reminiscent of the early days of apoptosis research. Autophagy was originally shown to prolong cell survival under nutrient starvation through organelle cannibalism, but more recent studies have shown that it can also trigger the rapid demise of a cell under specific conditions.12 This reinforces the old paradigm that life hangs in the balance with death, and the words of Bob Dylan remind us 'that he not busy being born is busy dying'.

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: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,132
Score d'incertitude au seuil0,480

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 Opus0,008
Tête enseignante GPT0,246
Écart entre enseignants0,238 · 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'étudeSans objet
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

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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