An integrated transcriptional analysis of the developing human retina
Author(s) -
Carla Mellough,
Roman Bauer,
Joseph Collin,
Birthe Dorgau,
Darin Zerti,
David Dolan,
Carl M. Jones,
Osagie Izuogu,
Min Yu,
Dean Hallam,
Jannetta S. Steyn,
Kathryn White,
David Steel,
Mauro SantibanezKoref,
David J. Elliott,
Michael S. Jackson,
Susan Lindsay,
Sushma Nagaraja Grellscheid,
Majlinda Lako
Publication year - 2019
Publication title -
development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.754
H-Index - 325
eISSN - 1477-9129
pISSN - 0950-1991
DOI - 10.1242/dev.169474
Subject(s) - biology , retina , alternative splicing , transcriptome , retinal , genetics , exon , rna splicing , gene , microbiology and biotechnology , epigenome , gene expression , computational biology , rna , neuroscience , biochemistry , dna methylation
The scarcity of embryonic/foetal material as a resource for direct study means that there is still limited understanding of human retina development. Here, we present an integrated transcriptome analysis combined with immunohistochemistry in human eye and retinal samples from 4 to 19 post-conception weeks. This analysis reveals three developmental windows with specific gene expression patterns that informed the sequential emergence of retinal cell types and enabled identification of stage-specific cellular and biological processes, and transcriptional regulators. Each stage is characterised by a specific set of alternatively spliced transcripts that code for proteins involved in the formation of the photoreceptor connecting cilium, pre-mRNA splicing and epigenetic modifiers. Importantly, our data show that the transition from foetal to adult retina is characterised by a large increase in the percentage of mutually exclusive exons that code for proteins involved in photoreceptor maintenance. The circular RNA population is also defined and shown to increase during retinal development. Collectively, these data increase our understanding of human retinal development and the pre-mRNA splicing process, and help to identify new candidate disease genes.
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