M. Duhamel

Repeated loss of function at HD mating-type genes and of recombination suppression without mating-type locus linkage in anther-smut fungi

The paper shows that HD mating-type genes have lost function in three Microbotryum species, with PR genes controlling mating compatibility, and reports evolutionary strata from recombination suppression.

Establishment and characterization of a tumoroid biobank derived from dog patients' mammary tumors for translational research

This paper establishes a canine mammary tumoroid biobank that mirrors human breast cancer in molecular and histological features, demonstrating its utility as a preclinical drug screening model.

Dynamics of transposable element accumulation in the non-recombining regions of mating-type chromosomes in anther-smut fungi

This study examines TE accumulation dynamics in non-recombining regions of mating-type chromosomes in Microbotryum fungi, showing rapid TE expansion followed by a plateau and repeated expansion of specific TE superfamilies.

Anticancer immunotherapies transition postcapillary venules into high-endothelial venules that generate TCF1+ T lymphocyte niches through a feed-forward loop

This paper shows that antiangiogenic immunotherapies convert postcapillary venules into high-endothelial venules that support TCF1+ T cell niches through a feed-forward loop involving CD8 and NK cells.

Onset and stepwise extensions of recombination suppression are common in mating-type chromosomes of Microbotryum anther-smut fungi

This study identifies multiple independent events of recombination suppression and chromosomal rearrangements linking mating-type loci in Microbotryum fungi.

Tempo of degeneration across independently evolved non-recombining regions

The paper quantifies the tempo of degeneration in non-recombining regions by analyzing codon usage and synonymous substitutions in mating-type chromosomes of fungi.

Overall patient's survival of glioblastoma associated to molecular markers: a pan-proteomic prospective study

This paper identifies three molecular groups of glioblastoma (GBM) associated with different survival outcomes using pan-proteomic analysis and validates prognostic markers for improved patient stratification.