Reelin (RELN) is a secreted glycoprotein essential for cerebral cortex development. In humans, recessive RELN variants cause cortical and cerebellar malformations, while heterozygous variants were associated to epilepsy, autism and mild cortical abnormalities. However, their functional effects remain unknown. We identified inherited and de novo RELN missense variants in heterozygous patients with neuronal migration disorders (NMDs) as diverse as pachygyria and polymicrogyria. We investigated in culture and in the developing mouse cerebral cortex how different variants impacted RELN function. Polymicrogyria-associated variants behaved as gain-of-function showing an enhanced ability to induce neuronal aggregation, while those linked to pachygyria as loss-of-function leading to defective neuronal aggregation/migration. The pachygyria-associated de novo heterozygous RELN variants acted as dominant-negative by preventing wild-type RELN secretion in culture, animal models and patients, thereby causing dominant NMDs. We demonstrated how mutant RELN proteins in vitro and in vivo predict cortical malformation phenotypes, providing valuable insights into the pathogenesis of such disorders.
Martina Riva, Sofia Ferreira, Kotaro Hayashi, Yoann Saillour, Vera P. Medvedeva, Takao Honda, Kanehiro Hayashi, Claire Altersitz, Shahad Albadri, Marion Rosello, Julie Dang, Malo Serafini, Frédéric Causeret, Olivia J. Henry, Charles-Joris Roux, Céline Bellesme, Elena Freri, Dragana Josifova, Elena Parrini, Renzo Guerrini, Filippo Del Bene, Kazunori Nakajima, Nadia Bahi-Buisson, Alessandra Pierani
Usage data is cumulative from July 2024 through August 2024.
Usage | JCI | PMC |
---|---|---|
Text version | 670 | 0 |
225 | 0 | |
Supplemental data | 63 | 0 |
Citation downloads | 32 | 0 |
Totals | 990 | 0 |
Total Views | 990 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.