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Molecular mechanisms of cell death: recommendations of the Nomenclature Committee on Cell Death 2018
Lorenzo Galluzzi, Ilio Vitale, Stuart A. Aaronson, John Abrams, Dieter Adam, Patrizia Agostinis, Emad S. Alnemri, Lucia Altucci, Ivano Amelio, David W. Andrews, Margherita Annicchiarico‐Petruzzelli, Alexey V. Antonov, Eli Arama, Eric H. Baehrecke, Nickolai A. Barlev, Nicolás G. Bazán, Francesca Bernassola, Mathieu J.M. Bertrand, Katiuscia Bianchi, Mikhail V. Blagosklonny, Klas Blomgren, Christoph Borner, Patricia Boya, Catherine Brenner, Michelangelo Campanella, Eleonora Candi, Didac Carmona‐Gutiérrez, Francesco Cecconi, Francis Ka-Ming Chan, Navdeep S. Chandel, Emily H. Cheng, Jerry E. Chipuk, John A. Cidlowski, Aaron Ciechanover, Gerald M. Cohen, Marcus Conrad, Juan R. Cubillos‐Ruiz, Peter E. Czabotar, Vincenzo D’Angiolella, Ted M. Dawson, Valina L. Dawson, Vincenzo De Laurenzi, Ruggero De Maria, Klaus‐Michael Debatin, Ralph J. DeBerardinis, Mohanish Deshmukh, Francesco Di Virgilio, Vishva M. Dixit, Scott J. Dixon, Colin S. Duckett, Brian David Dynlacht, Wafik S. El‐Deiry, John W. Elrod, Gian María Fimia, Simone Fulda, Ana J. García‐Sáez, Abhishek D. Garg, Carmen Garrido, Evripidis Gavathiotis, Pierre Golstein, Eyal Gottlieb, Douglas R. Green, Lloyd A. Greene, Hinrich Gronemeyer, Atan Gross, György Hajnóczky, J. Marie Hardwick, Isaac S. Harris, Michael O. Hengartner, Claudio Hetz, Hidenori Ichijo, Marja Jäättelä, Bertrand Joseph, Philipp J. Jost, Philippe Juin, William J. Kaiser, Michael Karin, Thomas Kaufmann, Oliver Kepp, Adi Kimchi, Richard N. Kitsis, Daniel J. Klionsky, Richard A. Knight, Sharad Kumar, Sam W. Lee, John J. Lemasters, Beth Levine, Andreas Linkermann, Stuart A. Lipton, Richard A. Lockshin, Carlos López-Otı́n, Scott W. Lowe, Tom Luedde, Enrico Lugli, Marion MacFarlane, Frank Madeo, Michal Malewicz, Walter Malorni, Gwenola Manic, Jean‐Christophe Marine, Séamus J. Martin, Jean‐Claude Martinou, Jan Paul Medema, Patrick Mehlen, Pascal Meier, Sonia Melino, Edward A. Miao, Jeffery D. Molkentin, Ute M. Moll, Cristina Muñoz‐Pinedo, Shigekazu Nagata, Gabriel Núñez, Andrew Oberst, Moshe Oren, Michael Overholtzer, Michele Pagano, Theocharis Panaretakis, Manolis Pasparakis, Josef Penninger, David M. Pereira, Shazib Pervaiz, Marcus E. Peter, Mauro Piacentini, Paolo Pinton, Jochen H.M. Prehn, Hamsa Puthalakath, Gabriel A. Rabinovich, Markus Rehm, Rosario Rizzuto, Cecília M. P. Rodrigues, David C. Rubinsztein, Thomas Rudel, Kevin M. Ryan, Emre Sayan, Luca Scorrano, Feng Shao, Yufang Shi, John Silke, Hans‐Uwe Simon, Antonella Sistigu, Brent R. Stockwell, Andreas Strasser, György Szabadkai, Stephen W. G. Tait, Daolin Tang, Andrew Thorburn, Yoshihide Tsujimoto, Boris Turk, Tom Vanden Berghe, Peter Vandenabeele, Matthew G. Vander Heiden, Andreas Villunger, Herbert W. Virgin, Karen H. Vousden, Domagoj Vucic, Erwin F. Wagner, Henning Walczak, David Wallach, Ying Wang, James A. Wells, Will Wood, Junying Yuan, Zahra Zakeri, Boris Zhivotovsky, Laurence Zitvogel, Gerry Melino, Guido Kroemer
Bibliographic record
VenueCell Death and Differentiation · 2018
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammasome and immune disorders
Canadian institutionsSunnybrook HospitalUniversity of Toronto
FundersInstitut Universitaire de FranceNational Institute on Drug AbuseWeill Cornell Medical CollegeNational Institute on AgingMedical Research CouncilGenentechInstitut National Du CancerNational Heart, Lung, and Blood InstituteFrancis Crick InstituteNational Institute of General Medical SciencesLigue Contre le CancerNational Cancer InstituteLabex Immuno-OncologyMinistero dell’Istruzione, dell’Università e della RicercaFondation pour la Recherche MédicaleCancer Research UKWellcome TrustNational Institute of Allergy and Infectious DiseasesFondation LeducqAgence Nationale de la RechercheE-RareEuropean CommissionAssociazione Italiana per la Ricerca sul CancroAssociation pour la Recherche sur le Cancer
KeywordsProgrammed cell deathNecroptosisPyroptosisAutophagyBiologyMitotic catastropheCell biologyApoptosisGenetics
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.036
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.017
GPT teacher head0.251
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations6,498
Published2018
Admission routes1
Has abstractno