Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Spatiotemporal transcriptome meta-analysis to uncover regulatory relationships in isolated mouse lens epithelium and fibers from embryonic through aged stages
Author Affiliations & Notes
  • Salil Anil Lachke
    Department of Biological Sciences, University of Delaware, Newark, Delaware, United States
    Center for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware, United States
  • Matthieu Duot
    Department of Biological Sciences, University of Delaware, Newark, Delaware, United States
    Institut de génétique et développement de Rennes, Univ Rennes, Rennes, France
  • Sanjaya Kumar Shrestha
    Department of Biological Sciences, University of Delaware, Newark, Delaware, United States
  • Murali Nagulla
    Department of Biological Sciences, University of Delaware, Newark, Delaware, United States
  • Hongzhan Huang
    Center for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware, United States
  • Luc Paillard
    Institut de génétique et développement de Rennes, Univ Rennes, Rennes, France
  • Footnotes
    Commercial Relationships   Salil Lachke None; Matthieu Duot None; Sanjaya Shrestha None; Murali Nagulla None; Hongzhan Huang None; Luc Paillard None
  • Footnotes
    Support  NIH Grant EY021505, R01EY029770
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 3244. doi:
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      Salil Anil Lachke, Matthieu Duot, Sanjaya Kumar Shrestha, Murali Nagulla, Hongzhan Huang, Luc Paillard; Spatiotemporal transcriptome meta-analysis to uncover regulatory relationships in isolated mouse lens epithelium and fibers from embryonic through aged stages. Invest. Ophthalmol. Vis. Sci. 2024;65(7):3244.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : The lens transcriptome has been examined by microarrays and RNA-sequencing (RNA-seq). These omics data are the basis of the bioinformatics web-resource iSyTE, which has identified new cataract-linked genes. However, the lens comprises of epithelial and fiber cells, yet presently, iSyTE is based on whole lens data. To enable cell type-specific resolution, we meta-analyzed isolated lens epithelium and fiber transcriptome datasets for integration in iSyTE.

Methods : Isolated mouse lens epithelium and fiber transcriptome public datasets at embryonic (E) and postnatal (P) stages E12.5, E14.5, E16.5, E18.5, P0.5, P0, P5, P13, and age 1 month, 3 months, 6 months, and 2 years were analyzed. Microarray or RNA-seq data were analyzed by appropriate methods and compared to other resources (e.g., Cat-Map).

Results : Across all the stages, ~2000 genes are differentially expressed between epithelium and fibers, of which ~4% are linked to cataract in Cat-Map. Gene ontology enrichment validates epithelial- and fiber-expected expression, corroborating the meta-analysis. Whole embryonic-body (WB)-in silico subtraction identifies high-priority epithelial- and fiber-enriched genes. Further, new insights at specific stages were obtained (e.g., ribonucleoprotein regulatory processes are enriched in E12.5 epithelium), predicting distinct regulatory relationships in epithelium and fibers. Finally, this meta-analyzed data is rendered user-friendly and freely accessible at iSyTE (https://research.bioinformatics.udel.edu/iSyTE/).

Conclusions : This meta-analysis advances our knowledge on the spatiotemporal transcriptome changes in isolated lens epithelium and fibers. Additionally, this is the first report providing detailed analysis of epithelium and fibers in early lens development (E12.5). These new lens cell-type specific knowledge will facilitate iSyTE-based cataract gene discovery.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

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