M

Maxime De Waegeneer

VIB-KU Leuven Center for Brain & Disease Research

ORCID: 0000-0002-4535-3737

Publishes on Single-cell and spatial transcriptomics, Genomics and Chromatin Dynamics, Genetics, Aging, and Longevity in Model Organisms. 21 papers and 4.3k citations.

21Publications
4.3kTotal Citations

Is this you? Claim your profile.

Add your photo, update your bio, and get notified when your ranking changes.

Top publicationsby citations

Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly
Cited by 835Open Access

For more than 100 years, the fruit fly Drosophila melanogaster has been one of the most studied model organisms. Here, we present a single-cell atlas of the adult fly, Tabula Drosophilae , that includes 580,000 nuclei from 15 individually dissected sexed tissues as well as the entire head and body, annotated to >250 distinct cell types. We provide an in-depth analysis of cell type–related gene signatures and transcription factor markers, as well as sexual dimorphism, across the whole animal. Analysis of common cell types between tissues, such as blood and muscle cells, reveals rare cell types and tissue-specific subtypes. This atlas provides a valuable resource for the Drosophila community and serves as a reference to study genetic perturbations and disease models at single-cell resolution.

Peritumoral activation of the Hippo pathway effectors YAP and TAZ suppresses liver cancer in mice
Cited by 218Open Access

Mixed signals at tumor margins The Hippo signaling pathway has been implicated in tumor growth, sparking interest in the pathway as a potential therapeutic target. In a study of liver cancer in genetically manipulated mice, Moya et al. discovered that the role of this pathway in tumorigenesis is more complex than previously appreciated. They confirmed that activation of the Hippo pathway within tumor cells drives tumor growth; however, they also found that activation of the pathway in adjacent healthy cells has the opposite effect, suppressing tumor growth. Whether tumor cells survive or are eliminated thus appears to depend on competing signals produced by the tumor and surrounding tissue. Science , this issue p. 1029