Evidence map›Paper›PMID 36974941›Full record

ArticleDisease models & mechanisms2023

Lifting the cloche: Jeroen Bakkers interviews Didier Stainier.

Didier Y R Stainier, Jeroen Bakkers

Abstract readInterview
In one paragraph

Article in Disease models & mechanisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Didier Y R StainierMax Planck Institute for Heart and Lung Research, Department of Developmental Genetics, Bad Nauheim 61231, Germany.ORCID 0000-0002-0382-0026
Jeroen BakkersHubrecht Institute-KNAW and Utrecht University Medical Center, Utrecht 3584 CT, The Netherlands.ORCID 0000-0002-9418-0422

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Didier Stainier is Director of the Department of Developmental Genetics at the Max Planck Institute for Heart and Lung Research in Bad Nauheim, Germany. He became acquainted with the zebrafish model as a PhD student in Walter Gilbert's lab at Harvard, which motivated him to champion the use of this powerful model organism to study heart development as a postdoctoral fellow with Mark Fishman at Massachusetts General Hospital. Although his scientific focus has expanded significantly since then, zebrafish modelling and heart development and regeneration remain key topics in his research. The developmental biology and zebrafish modelling communities have embraced him as an inspiring mentor and advocate for basic research. Jeroen Bakkers is a group leader at the Hubrecht Institute for Developmental Biology and Stem Cell Research and Professor of Molecular Cardiogenetics at the University Medical Center Utrecht, The Netherlands. Jeroen did hid PhD with Herman Spaink at Leiden University, The Netherlands. A short visit to Massachusetts Institute of Technology during his doctoral training introduced him to the zebrafish model, which he applied to his PhD project. Zebrafish development remained the focus of his career, including during his postdoctoral training in the lab of Matthias Hammerschmidt at the Max Planck Institute of Immunology and Epigenetics in Freiburg and in his own lab at the Hubrecht Institute, where his group uses this powerful model organism to investigate cardiac development, disease and regeneration. Jeroen and Didier met up at a recent conference to talk about their shared interest in cardiac regeneration, a zebrafish mutant with a curious name and Didier's commitment to mentorship.

Indexed as

LiftingZebrafishAnimalsHeart

Identifiers

PMID36974941
PMCPMC10110420

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.