Biology subjects

Bernas, G.

Publications and source records attributed to Bernas, G..

3 recordsLinked to original sources

bioRxiv2024

Brain-specific Gata4 downregulation in Greywick female mice models the metabolic subtype of polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is a heterogenous disorder characterized by reproductive and metabolic abnormalities. PCOS etiology remains poorly understood, although the hypothalamus is suspected to play a central role in many cases. Human genetic studies have also shown an association with the transcription factor-coding gene GATA4, but without providing a functional link. Here, we show that adult Greywick female mice may bridge this gap. These mice phenocopy PCOS with partial penetrance, due to serendipitous insertion of a Gata4 promoter-driven transgene in a strong enhancer region. Resulting robust transgene expression in subsets of hypothalamic neurons and glia impairs endogenous Gata4 expression, resulting in misexpression of genes linked to the control of fertility and food intake. We also show that this previously overlooked role of GATA4 in the hypothalamus can be replicated by conditional knockout approaches. Overall, this study sheds light not only on PCOS etiology but also on the role played by GATA4 in the central control of reproduction.

physiology↗

bioRxiv2021

Introduction of loxP sites by electroporation in the mouse genome; a simple approach for conditional allele generation in complex targeting loci.

BackgroundThe discovery of the CRISPR-Cas9 system and its applicability in mammalian embryos has revolutionized the way we generate genetically engineered animal models. To date, models harbouring conditional alleles (i.e.: two loxP sites flanking an exon or a critical DNA sequence of interest) remain the most challenging to generate as they require simultaneous cleavage of the genome using two guides in order to properly integrate the repair template. In the current manuscript, we describe a modification of the sequential electroporation procedure described by Horii et al (2017). We demonstrate production of conditional allele mouse models for eight different genes via one of two alternative strategies: either by consecutive sequential electroporation (strategy A) or non-consecutive sequential electroporation (strategy B). ResultsBy using strategy A, we demonstrated successful generation of conditional allele models for three different genes (Icam1, Lox, and Sar1b), with targeting efficiencies varying between 5 to 13%. By using strategy B, we generated five conditional allele models (Loxl1, Pard6a, Pard6g, Clcf1, and Mapkapk5), with targeting efficiencies varying between 3 to 25%. ConclusionOur modified electroporation-based approach, involving one of the two alternative strategies, allowed the production of conditional allele models for eight different genes via two different possible paths. This reproducible method will serve as another reliable approach in addition to other well-established methodologies in the literature for conditional allele mouse model generation.

molecular biology↗

bioRxiv2018

Re-Evaluating One-step Generation of Mice Carrying Conditional Alleles by CRISPR-Cas9-Mediated Genome Editing Technology

CRISPR-Cas9 gene editing technology has considerably facilitated the generation of mouse knockout alleles, relieving many of the cumbersome and time-consuming steps of traditional mouse embryonic stem cell technology. However, the generation of conditional knockout alleles remains an important challenge. An earlier study reported up to 16% efficiency in generating conditional knockout alleles in mice using 2 single guide RNAs (sgRNA) and 2 single-stranded oligonucleotides (ssODN) (2sgRNA-2ssODN). We re-evaluated this method from a large data set generated from a consortium consisting of 17 transgenic core facilities or laboratories or programs across the world. The dataset constituted 17,887 microinjected or electroporated zygotes and 1,718 live born mice, of which only 15 (0.87%) mice harbored 2 correct LoxP insertions in cis configuration indicating a very low efficiency of the method. To determine the factors required to successfully generate conditional alleles using the 2sgRNA-2ssODN approach, we performed a generalized linear regression model. We show that factors such as the concentration of the sgRNA, Cas9 protein or the distance between the placement of LoxP insertions were not predictive for the success of this technique. The major predictor affecting the methods success was the probability of simultaneously inserting intact proximal and distal LoxP sequences, without the loss of the DNA segment between the two sgRNA cleavage sites. Our analysis of a large data set indicates that the 2sgRNA-2ssODN method generates a large number of undesired alleles (>99%), and a very small number of desired alleles (<1%) requiring, on average 1,192 zygotes.

genetics↗