Notice bibliographique
Résumé
I wanted to be a ballerina, but somehow, I ended up being a spectator and a student to the most intricate dance of all-that of an enzyme that performs center stage in the theater of cell signaling.Protein kinase C moves between cellular compart-ments, interacting with binding partners and second messengers, in an exquisitely choreographed dance of perfection and precision.The enzyme displays remarkable flexibility, undergoing global conformational changes as it pirouettes around the cell, from partner to partner.It is my prima ballerina assoluta and my favorite enzyme, all in one.Dan Koshland, in an autobiographical article in Annual Reviews in Biochemistry (1) recounts that he felt like a character in the Mikado, ''wafted by a favoring gale'' from place to place.I too feel that the breezes were favorable as I was wafted from a B.Sc. in Biochemistry from Simon Fraser University in my hometown of Vancouver, to a Ph.D. in Chemistry at Stanford with Wray Huestis, and into the lab of Dan Koshland at the University of California, Berkeley for my postdoctoral studies.Koshland recruited me to solve memory.I succeeded Daria Mochly-Rosen, who was his first postdoctoral fellow to work on protein kinase C in his lab (1983)(1984)(1985).The enzyme had been discovered a few years earlier by Yasutomi Nishizuka and his group in Kobe, Japan (2).We overlapped for 1 month during which she provided me with intense and rigorous training in protein kinase C-memorable for the 5 day-long, round the clock, purifications of protein kinase C (imagine, no tags!) from rat brain; I will not forget the day a decapitated rat head bit my glove to the music of the Talking Heads.As Daria recounts in an article on his life we wrote together for this journal (3), Koshland had decided that protein kinase C was the memory enzyme because repetitive painting on mouse skin of phorbol esters, which had just been shown to activate protein kinase C, caused cancer.Reasoning there was a mechanism to ''remember'' the previous application, he charged me with solving memory mediated by protein kinase C.For the first two weeks in the Koshland lab, I diligently set forth to develop a system to repetitively stimulate protein kinase C in cells and study desensitization, the closest I could think of to memory.I was getting nowhere quickly.After I had been in the lab about a week, Koshland asked if had solved memory yet.I replied that yes, I had, but I had forgotten the answer.After two weeks, it stopped being funny.So, I secretly started looking at the lipid regulation of protein kinase C. My graduate training was in lipid biochemistry, something much more tangible than memory.By then it was well known from Nishizuka's discoveries that protein kinase C was activated by lipids and Alexandra C.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,062 | 0,071 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».