The Use of Zebrafish in Transcriptome Analysis of the Early Effects of Mutations Causing Early Onset Familial Alzheimer’s Disease and Other Inherited Neurodegenerative Conditions
Affiliations: [a] Alzheimer’s Disease Genetics Laboratory, The University of Adelaide, Adelaide, SA, Australia
| [b] Alkahest Inc., San Carlos, CA, USA
| [c] Black Ochre Data Labs, Indigenous Genomics, Telethon Kinds Institute, Adelaide, SA, Australia
| [d]
Childhood Dementia Research Group, College of Medicine & Public Health, Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, Australia
| [e]
John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
Correspondence:
[*]
Correspondence to: Michael Lardelli, Alzheimer’s Disease Genetics Laboratory, 1.24 Molecular Life Sciences, North Terrace Campus, The University of Adelaide, Adelaide, SA 5005, Australia. Tel.: +61 8 83133212; E-mail: [email protected].
Note: [1] Joint senior authors.
Abstract: The degree to which non-human animals can be used to model Alzheimer’s disease is a contentious issue, particularly as there is still widespread disagreement regarding the pathogenesis of this neurodegenerative dementia. The currently popular transgenic models are based on artificial expression of genes mutated in early onset forms of familial Alzheimer’s disease (EOfAD). Uncertainty regarding the veracity of these models led us to focus on heterozygous, single mutations of endogenous genes (knock-in models) as these most closely resemble the genetic state of humans with EOfAD, and so incorporate the fewest assumptions regarding pathological mechanism. We have generated a number of lines of zebrafish bearing EOfAD-like and non-EOfAD-like mutations in genes equivalent to human PSEN1, PSEN2, and SORL1. To analyze the young adult brain transcriptomes of these mutants, we exploited the ability of zebrafish to produce very large families of simultaneous siblings composed of a variety of genotypes and raised in a uniform environment. This “intra-family” analysis strategy greatly reduced genetic and environmental “noise” thereby allowing detection of subtle changes in gene sets after bulk RNA sequencing of entire brains. Changes to oxidative phosphorylation were predicted for all EOfAD-like mutations in the three genes studied. Here we describe some of the analytical lessons learned in our program combining zebrafish genome editing with transcriptomics to understand the molecular pathologies of neurodegenerative disease.
