Characterizing differences between MSCs and TM cells: Toward autologous stem cell therapies for the glaucomatous trabecular meshwork.

Published

Journal Article

Glaucoma, a leading cause of blindness, is characterized by an increase in intraocular pressure, which is largely determined by resistance to aqueous humour outflow through the trabecular meshwork (TM). In glaucoma, the cellularity of the TM is decreased, and, as a result, stem cell therapies for the TM represent a potential therapeutic option for restoring TM function and treating glaucoma patients. We here focus on adipose derived mesenchymal stem cells (MSCs) as a potential autologous cell source for TM regenerative medicine applications and describe characterization techniques at the messenger (reverse transcription-quantitative polymerase chain reaction), protein (western blotting, flow cytometry), and functional (contractility, phagocytosis) levels to distinguish MSCs from TM cells. We present a panel of 12 transcripts to allow: (a) suitable normalization of reverse transcription-quantitative polymerase chain reaction results across cell types and after exposure to potential differentiation stimuli; (b) distinguishing MSCs from TM cells; (c) distinguishing subtypes of TM cells; and (d) distinguishing TM cells from those in neighbouring tissue. At the protein level, dexamethasone induction of myocilin was a robust discriminating factor between MSCs and TM cells and was complemented by other protein markers. Finally, we show that contractility and phagocytosis differ between MSCs and TM cells. These methods are recommended for use in future differentiation studies to fully define if a functional TM-like phenotype is being achieved.

Full Text

Duke Authors

Cited Authors

  • Snider, EJ; Vannatta, RT; Schildmeyer, L; Stamer, WD; Ethier, CR

Published Date

  • March 2018

Published In

Volume / Issue

  • 12 / 3

Start / End Page

  • 695 - 704

PubMed ID

  • 28556530

Pubmed Central ID

  • 28556530

Electronic International Standard Serial Number (EISSN)

  • 1932-7005

Digital Object Identifier (DOI)

  • 10.1002/term.2488

Language

  • eng

Conference Location

  • England