An atlas and database of neuropeptide gene expression in the adult zebrafish forebrain.
Towako Hiraki-KajiyamaNobuhiko MiyasakaReiko AndoNoriko WakisakaHiroya ItogaShuichi OnamiYoshihiro YoshiharaPublished in: The Journal of comparative neurology (2024)
Zebrafish is a useful model organism in neuroscience; however, its gene expression atlas in the adult brain is not well developed. In the present study, we examined the expression of 38 neuropeptides, comparing with GABAergic and glutamatergic neuron marker genes in the adult zebrafish brain by comprehensive in situ hybridization. The results are summarized as an expression atlas in 19 coronal planes of the forebrain. Furthermore, the scanned data of all brain sections were made publicly available in the Adult Zebrafish Brain Gene Expression Database (https://ssbd.riken.jp/azebex/). Based on these data, we performed detailed comparative neuroanatomical analyses of the hypothalamus and found that several regions previously described as one nucleus in the reference zebrafish brain atlas contain two or more subregions with significantly different neuropeptide/neurotransmitter expression profiles. Subsequently, we compared the expression data in zebrafish telencephalon and hypothalamus obtained in this study with those in mice, by performing a cluster analysis. As a result, several nuclei in zebrafish and mice were clustered in close vicinity. The present expression atlas, database, and anatomical findings will contribute to future neuroscience research using zebrafish.
Keyphrases
- gene expression
- poor prognosis
- resting state
- white matter
- single cell
- dna methylation
- electronic health record
- functional connectivity
- cerebral ischemia
- binding protein
- big data
- long non coding rna
- metabolic syndrome
- genome wide
- machine learning
- adverse drug
- emergency department
- adipose tissue
- transcription factor
- high fat diet induced
- artificial intelligence
- brain injury
- subarachnoid hemorrhage
- genome wide identification
- genome wide analysis
- bioinformatics analysis