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Enregistrement W2786629238 · doi:10.1016/j.stemcr.2018.01.035

Ihor Lemischka (1953-2017)

2018· article· de· W2786629238 sur OpenAlexaffabout
Peter M. Lansdorp

Notice bibliographique

RevueStem Cell Reports · 2018
Typearticle
Languede
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueSingle-cell and spatial transcriptomics
Établissements canadiensBC Cancer Agency
Organismes subventionnairesnon disponible
Mots-clésBiologyStem cellHaematopoiesisEmbryonic stem cellProgenitor cellReceptor tyrosine kinaseCell biologyGeneComputational biologySignal transductionGenetics

Résumé

récupéré en direct d'OpenAlex

Ihor Lemischka, PhD, Professor at the Icahn School of Medicine at Mount Sinai in New York died, much too young, from a stroke early in December 2017. Ihor will be remembered for his great sense of humor and his pioneering work on embryonic and hematopoietic stem cells. Throughout his career he showed an unwavering desire to understand the behavior of stem cells from a mechanistic, biochemical point of view. He wanted to know how cell fate decisions were made. In his quest he applied a variety of approaches from transistor models used in electronics to large gene expression and proteomics datasets from various laboratories, including his own. Notable contributions from his laboratory were the cloning and characterization of fetal liver cell surface tyrosine kinases 1 and 2 (flk-1 or KDR/VEGFR2 and flk-2). Flk-2 is selectively expressed on hematopoietic stem and progenitor cells and the flk-2 gene in humans is encoded by the FLT3 gene (CD135), the receptor for the cytokine Flt3 ligand (FLT3L). FLT3 and its ligand are key signal transducing components in the hematopoietic system, and it is now known that the FLT3 gene is one of the most frequently mutated genes in acute myeloid leukemia (AML). His laboratory pioneered and refined perturbation of gene expression using RNAi approaches. He was a true “systems biologist” who aimed to integrate data from very different sources into testable models to understand the behavior of normal and malignant stem cells. Given inevitably incomplete knowledge of all the molecular interactions and pathways operating in a cell, he always stressed that “everything should be made as simple as possible, but not simpler,” a quote from Einstein that he liked to use. He always remained true to his original interest in fundamental biological questions, and his approach to research was original and uncompromising. However, he also did see the need to translate fundamental discoveries if possible, and his laboratory was one of the first to capitalize on the use of pluripotent stem cells (iPSCs) to study complex genetic disorders by showing that in vitro-derived cardiomyocytes from LEOPARD syndrome iPSCs provide molecular insights into signaling pathways that promote the disease phenotype. His presentations inevitably gave food for thought, and the stellar careers of some of his trainees attest to his talent as a mentor and teacher. He actively participated in various stem cell meetings and was an active member of both the International Society for Stem Cell Research, where he served on the board of directors for six years, and the International Society for Experimental Hematology. At meetings he often asked pointed question with his unmistakable low, booming voice. During meetings he was also very active outside the scientific sessions. I fondly remember Ihor as friend whom I got to know well at stem cell meetings in Germany organized by Lothar Kanz. These meetings were always incredibly well organized, with a very busy scientific as well as social agenda. As a result, most participants in the evening wisely retired to their hotel rooms, but for some jet-lagged, globe-trotting scientists there was always time for one more of those excellent German beers. Ihor tremendously enjoyed these sessions, where discussions would range from science to politics and from soccer to gossip. He often was the last person to leave but he somehow always managed to show up the next morning ready to tackle another day. Perhaps one personal tale can bring Ihor’s personality and sense of humor back for a moment. I had been staying with Ihor and Kateri Moore, his wife and collaborator, in their beautiful house in Princeton. In this house, which was previously lived in by the science philosopher (“paradigm shift”) Thomas Kuhn, I was welcomed by “Coach,” a large Labrador who, after Kateri, was probably Ihor’s best friend and companion. Ihor was an avid collector of art and several beautiful Japanese prints decorated the walls. The following day I wanted to go to New York, where my wife, Claudia Bos, had an opening at an art gallery. Ihor and Teri decided to join me and we found ourselves on a late Saturday afternoon at Penn Station in Manhattan in a long taxi line-up. Without hesitation Ihor commandeered an unsuspecting female bicycle rickshaw driver to bring us to Bleeker Street “on the double.” The three of us, with carry-on luggage, were clearly a very heavy load for our driver on the hills of Manhattan. While I was trying to hide behind the suitcase on my lap from embarrassment, Ihor continued his conversation with our driver, who clearly needed all the oxygen she could retrieve from the New York street air. When we finally made it to the show and had given the driver a generous tip, Ihor mingled effortlessly with the mixed crowd at the gallery. After a few minutes and clearly disappointed he asked me, “Where is David Bowie?” Moments later he pouted, “Where is Andy Warhol? I had hoped to meet Lou Reed.” This line of enquiry continued throughout the evening during a Thai dinner with Pat Passlof and friends where he dominated the conversation as if he was the famous art critic Clement Greenberg himself. Ihor often ignored social conventions, but he did it with such flair that any offensive behavior was readily forgiven. I will always foster the memory of Ihor that day: alive, full of sparks, and bigger than life. He will be sorely missed. My warmest thoughts are with Kateri, who will need to go on without him and his wild adventurous spirit.

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 candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,464
Score d'incertitude au seuil1,000

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 recherche0,0010,000
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 Opus0,015
Tête enseignante GPT0,231
Écart entre enseignants0,216 · 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.

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

Citations0
Publié2018
Routes d'admission2
Résumé présentoui

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