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Enregistrement W2795731290 · doi:10.1111/ajt.14757

The Human Cell Atlas Project by the numbers: Relationship to the Banff Classification

2018· letter· en· W2795731290 sur OpenAlexaffabout
I. Moghe, Alexandre Loupy, Kim Solez

Notice bibliographique

RevueAmerican Journal of Transplantation · 2018
Typeletter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueSingle-cell and spatial transcriptomics
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésAtlas (anatomy)ScopusTransplantationMedicineLibrary scienceMEDLINEComputer sciencePolitical scienceAnatomySurgeryLaw

Résumé

récupéré en direct d'OpenAlex

To the Editor Two recent AJT articles refer to the “step change” that the Human Cell Atlas Project (HCAP) will bring about in transplantation.1Pullen LC The AJT Report: Human Cell Atlas poised to transform our understanding of organs.Am J Transplant. 2018; 18: 1-2Abstract Full Text Full Text PDF PubMed Scopus (4) Google Scholar,2Solez K Fung KC Saliba KA et al.Personal viewpoint: the bridge between transplantation and regenerative medicine. Beginning a new Banff Classification of Tissue Engineering Pathology.Am J Transplant. 2018; 18: 321-327Abstract Full Text Full Text PDF PubMed Scopus (10) Google Scholar Many readers will want to know how big that step will be. On the one hand, HCAP reports are appearing in the top journals, and there are videos and articles about it widely available on social media, with predictions of a 10- to-100 000-fold increase in known cell types and claims such as “Our bodies are made up of least 37 trillion cells, and scientists are teaming up around the world to map every single one of them.”3Weule G. ABC Science –Human Cell Atlas: the plan to map every cell in your body. http://www.abc.net.au/news/science/2017-11-17/human-cell-atlas-the-plan-to-map-every-cell-in-your-body/9127096. Accessed February 8, 2018.Google Scholar On the other hand, some large traditional meetings like the US/Canadian Academy of Pathology meeting and the American Transplant Congress have been entirely silent on the issue of the HCAP. Taking a rigorous approach to the numbers, there is evidence for a least a doubling of known cell types by applying HCAP technologies. Villani et al4Villani AC Satija R Reynolds G Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors.Science. 2017; 356Crossref PubMed Scopus (1210) Google Scholar demonstrated a doubling of cell types within dendritic cells, monocytes, and progenitors (from 6 to 12) when HCAP technologies are applied. Extrapolating from that, a conservative estimate of the impact of HCAP is that it will double the number of known cell types in every organ transplanted. So, for instance, the number of cell types in the kidney would go from 26 to approximately 52. Even at that level, it is something huge that everyone should know about and be making plans for. It is particularly relevant to the new Banff Classification of Tissue Engineering Pathology, as pointed out in a recent personal viewpoint paper.2Solez K Fung KC Saliba KA et al.Personal viewpoint: the bridge between transplantation and regenerative medicine. Beginning a new Banff Classification of Tissue Engineering Pathology.Am J Transplant. 2018; 18: 321-327Abstract Full Text Full Text PDF PubMed Scopus (10) Google Scholar As for the question of how many cells the project plans to characterize, the HCAP White Paper5The HCA Consortium, The Human Cell Atlas White Paper, October 18, 2017. https://www.humancellatlas.org/files/HCA_WhitePaper_18Oct2017. Accessed March 11, 2018.Google Scholar,6Regev A Teichmann SA Lander ES Human Cell Atlas meeting participants. The Human Cell Atlas.Elife. 2017; 6Google Scholar is clear that the intention is to profile 30-100 million cells from healthy controls of both sexes in the first draft of the project and then incorporate the lessons learned from that into creation of a comprehensive atlas of at least 10 billion cells, covering all tissues, organs, and systems. The guiding principle determining how many cells will be analyzed is ”Given a tissue with N discrete cell subsets, the rarest of which is present at proportion P, how many cells k need to be sampled such that at least n cells are recovered in each subset with confidence level C?” (The HCA Consortium,5p21 Box 1). At every step, the HCAP will bring about many important new insights, ultimately changing and making more precise every aspect of transplantation. The new Banff Classification of Tissue Engineering Pathology was first suggested in 2011, and concrete plans to make it happen have been in place since 2017, with the aim to have it completely finalized by 2025.2Solez K Fung KC Saliba KA et al.Personal viewpoint: the bridge between transplantation and regenerative medicine. Beginning a new Banff Classification of Tissue Engineering Pathology.Am J Transplant. 2018; 18: 321-327Abstract Full Text Full Text PDF PubMed Scopus (10) Google Scholar HCAP is an integral part of the new Banff Classification of Tissue Engineering Pathology. HCAP should become part of the mind set of every transplant physician and every transplant pathologist and will need to be central in the joint practical planning of those 2 communities for the future. The authors of this manuscript have no conflicts of interest to disclose as described by the American Journal of Transplantation.

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)0,001
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 enseignants0,473
Score d'incertitude au seuil0,407

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
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 Opus0,022
Tête enseignante GPT0,270
Écart entre enseignants0,248 · 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

Citations9
Publié2018
Routes d'admission2
Résumé présentoui

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