Transcriptomic Analysis Identifies Candidate Genes for Differential Expression during Xenopus laevis Inner Ear Development
Virk, S. M.; Trujillo-Provencio, C.; Serrano, E. E.
Show abstract
BackgroundThe genes involved in inner ear development and maintenance of the adult organ have yet to be fully characterized. Previous genetic analysis has emphasized the early development that gives rise to the otic vesicle. This study aimed to bridge the knowledge gap and identify candidate genes that are expressed as the auditory and vestibular sensory organs continue to grow and develop until the systems reach postmetamorphic maturity. MethodsAffymetrix microarrays were used to assess inner ear transcriptome profiles from three Xenopus laevis developmental ages where all eight endorgans comprise mechanosensory hair cells: larval stages 50 and 56, and the post-metamorphic juvenile. Pairwise comparisons were made between the three developmental stages and the resulting differentially expressed X. laevis Probe Set IDs (Xl-PSIDs) were assigned to four groups based on differential expression patterns. DAVID analysis was undertaken to impart functional annotation to the differentially regulated Xl-PSIDs. ResultsAnalysis identified 1510 candidate genes for differential gene expression in one or more pairwise comparison. Annotated genes not previously associated with inner ear development emerged from this analysis, as well as annotated genes with established inner ear function, such as oncomodulin, neurod1, and sp7. Notably, 36% of differentially expressed Xl-PSIDs were unannotated. ConclusionsResults draw attention to the complex gene regulatory patterns that characterize Xenopus inner ear development, and underscore the need for improved annotation of the X. laevis genome. Outcomes can be utilized to select candidate inner ear genes for functional analysis, and to promote Xenopus as a model organism for biomedical studies of hearing and balance.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Transcriptome analysis provides genome annotation and expression profiles in the central nervous system of Lymnaea stagnalis at different ages 93%
- Developmental dynamics of sex reprogramming by high incubation temperatures in a dragon lizard 92%
- Transcriptomic landscape of posterior regeneration in the annelid Platynereis dumerilii 92%
Similar papers in this journal
- Panx1b modulates the luminance response and direction of motion in the zebrafish 93%
- Evolutionary formation of a human de novo open reading frame from a non-primate non-coding genomic region that proceeds via biased random mutations 91%
- Toward the pathogenicity of the SLC26A4 p.C565Y variant using a genetically driven mouse model 91%
Similar papers in this journal
- Early disruptions in vitamin D receptor signaling induces persistent developmental behavior deficits in zebrafish larvae 94%
- Expression of dlx genes in the normal and regenerating brain of adult zebrafish. 93%
- Transcriptome analysis indicates dominant effects on ribosome and mitochondrial function of a premature termination codon mutation in the zebrafish gene psen2 93%
Similar papers in this journal
- Single cell and single nucleus RNA-Seq reveal cellular heterogeneity and homeostatic regulatory networks in adult mouse stria vascularis 94%
- Characterizing Adult cochlear supporting cell transcriptional diversity using single-cell RNA-Seq: Validation in the adult mouse and translational implications for the adult human cochlea 94%
- Sex separation unveils the functional plasticity of the vomeronasal organ in rabbits 91%
Similar papers in this journal
- An integrated system for comprehensive mouse peripheral vestibular function evaluation based on Vestibulo-ocular Reflex 92%
- Prolonged dexamethasone exposure enhances zebrafish lateral-line regeneration but disrupts mitochondrial homeostasis and hair cell function 92%
- Quantitative assessment of anti-gravity reflexes to evaluate vestibular dysfunction in rats 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.