Sex-specific cortical, hippocampal and thalamic whole genome transcriptome data from controls and a G72 schizophrenia mouse model

TL;DR

This study provides transcriptome data from a schizophrenia mouse model and controls, focusing on sex and brain region differences to better understand the disease's biology.

Contribution

The paper presents a comprehensive, sex-specific transcriptome dataset from multiple brain regions in a schizophrenia mouse model and controls.

Findings

Transcriptome data from the retrosplenial cortex, hippocampus, and thalamus of G72 and control mice were collected.

The dataset enables analysis of age-, sex-, and brain-region-specific transcriptional changes in a schizophrenia model.

Public availability of the data supports further research into biomarkers and drug development for schizophrenia.

Abstract

The G72 mouse model of schizophrenia represents a well-known model that was generated to meet the main translational criteria of isomorphism, homology and predictability of schizophrenia to a maximum extent. In order to get a more detailed view of the complex etiopathogenesis of schizophrenia, whole genome transcriptome studies turn out to be indispensable. Here we carried out microarray data collection based on RNA extracted from the retrosplenial cortex, hippocampus and thalamus of G72 transgenic and wild-type control mice. Experimental animals were age-matched and importantly, both sexes were considered separately.

The isolated RNA from all three brain regions was purified, quantified und quality controlled before initiation of the hybridization procedure with SurePrint G3 Mouse Gene Expression v2 8  ×  60 K microarrays. Following immunofluorescent measurement und preprocessing of image data, raw transcriptome data from G72 mice and control animals were extracted and uploaded in a public database. Our data allow insight into significant alterations in gene transcript levels in G72 mice and enable the reader/user to perform further complex analyses to identify potential age-, sex- and brain-region-specific alterations in transcription profiles and related pathways. The latter could facilitate biomarker identification and drug research and development in schizophrenia research.