The University of Southampton
University of Southampton Institutional Repository

Isolation and comparative transcriptome analysis of human fetal and iPSC-derived cone photoreceptor cells

Isolation and comparative transcriptome analysis of human fetal and iPSC-derived cone photoreceptor cells
Isolation and comparative transcriptome analysis of human fetal and iPSC-derived cone photoreceptor cells
Loss of cone photoreceptors, crucial for daylight vision, has the greatest impact on sight in retinal degeneration. Transplantation of stem cell-derived L/M-opsin cones, which form 90% of the human cone population, could provide a feasible therapy to restore vision. However, transcriptomic similarities between fetal and stem cell-derived cones remain to be defined, in addition to development of cone cell purification strategies. Here, we report an analysis of the human L/M-opsin cone photoreceptor transcriptome using an AAV2/9.pR2.1:GFP reporter. This led to the identification of a cone-enriched gene signature, which we used to demonstrate similar gene expression between fetal and stem cell-derived cones. We then defined a cluster of differentiation marker combination that, when used for cell sorting, significantly enriches for cone photoreceptors from the fetal retina and stem cell-derived retinal organoids, respectively. These data may facilitate more efficient isolation of human stem cell-derived cones for use in clinical transplantation studies.
2213-6711
1898-1915
Lakowski, Jorn
1856e739-982a-412a-87c7-abf1610f5384
Lakowski, Jorn
1856e739-982a-412a-87c7-abf1610f5384

Lakowski, Jorn (2017) Isolation and comparative transcriptome analysis of human fetal and iPSC-derived cone photoreceptor cells. Stem Cell Reports, 9 (6), 1898-1915. (doi:10.1016/j.stemcr.2017.10.018).

Record type: Article

Abstract

Loss of cone photoreceptors, crucial for daylight vision, has the greatest impact on sight in retinal degeneration. Transplantation of stem cell-derived L/M-opsin cones, which form 90% of the human cone population, could provide a feasible therapy to restore vision. However, transcriptomic similarities between fetal and stem cell-derived cones remain to be defined, in addition to development of cone cell purification strategies. Here, we report an analysis of the human L/M-opsin cone photoreceptor transcriptome using an AAV2/9.pR2.1:GFP reporter. This led to the identification of a cone-enriched gene signature, which we used to demonstrate similar gene expression between fetal and stem cell-derived cones. We then defined a cluster of differentiation marker combination that, when used for cell sorting, significantly enriches for cone photoreceptors from the fetal retina and stem cell-derived retinal organoids, respectively. These data may facilitate more efficient isolation of human stem cell-derived cones for use in clinical transplantation studies.

Text
1-s2.0-S2213671117304733-main - Version of Record
Available under License Creative Commons Attribution.
Download (6MB)

More information

Accepted/In Press date: 15 October 2017
e-pub ahead of print date: 16 November 2017
Published date: 12 December 2017

Identifiers

Local EPrints ID: 425623
URI: http://eprints.soton.ac.uk/id/eprint/425623
ISSN: 2213-6711
PURE UUID: 58b4150e-8e35-4db2-a7cc-378b2117e28a
ORCID for Jorn Lakowski: ORCID iD orcid.org/0000-0003-4214-7580

Catalogue record

Date deposited: 26 Oct 2018 16:30
Last modified: 16 Mar 2024 04:33

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×