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Laser Capture Microdissection of Highly Pure Trabecular Meshwork from Mouse Eyes for Gene Expression Analysis
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Divergence in cellular markers observed in single-cell transcriptomics datasets between cultured primary trabecular
Alice Tian1, Sangbae Kim1, Hasna Baidouri2
1Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA.
Scientific Data
|February 14, 2025
Summary
This study compares human trabecular meshwork (hTM) cells in culture to tissue using single-cell RNA sequencing. It provides a valuable transcriptomic resource for understanding TM dysfunction and improving research translatability.
Area of Science:
- Ophthalmology
- Genomics
- Cell Biology
Background:
- The trabecular meshwork (TM) is crucial for maintaining intraocular pressure (IOP) homeostasis.
- In vitro human trabecular meshwork (hTM) cell cultures are widely used to study TM dysfunction.
- Translating findings from in vitro hTM studies to in vivo conditions remains a significant challenge due to cell heterogeneity.
Purpose of the Study:
- To compare the transcriptomic profiles of primary hTM cells in vitro across different passages with hTM cells in tissue.
- To identify differences in cellular identity and gene expression between cultured hTM cells and those in situ.
- To establish a comprehensive transcriptomic resource for the research community to investigate TM pathobiology.
Main Methods:
- Single-cell RNA sequencing (scRNA-seq) was performed on 14 primary hTM cell culture samples (passages 1-4).
- Four of the samples were derived from individuals diagnosed with glaucoma.
- Extensive data preprocessing and quality control were applied to the scRNA-seq dataset.
Main Results:
- The study generated a comprehensive transcriptomic dataset of primary hTM cells in vitro.
- This resource allows for the study of global gene expression changes in cultured cells compared to tissue.
- The data facilitates the investigation of cellular heterogeneity and its impact on research findings.
Conclusions:
- Single-cell RNA sequencing provides critical insights into cellular identity and translatability of in vitro hTM models.
- The generated dataset serves as a public resource for advancing research on trabecular meshwork dysfunction and glaucoma.
- Understanding transcriptomic differences is key to improving the predictive value of in vitro studies for in vivo conditions.

