ArticleMolecular vision2013
Analysis of cell surface markers specific for transplantable rod photoreceptors.
Article in Molecular vision, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Integrative RNA-seq and ATAC-seq analyses of phosphodiesterase 6 mutation-induced retinitis pigmentosa.International ophthalmology · 2022Article
- Generation of an RCVRN-eGFP Reporter hiPSC Line by CRISPR/Cas9 to Monitor Photoreceptor Cell Development and Facilitate the Cell Enrichment for Transplantation.Frontiers in cell and developmental biology · 2022Article
- cGMP production of patient-specific iPSCs and photoreceptor precursor cells to treat retinal degenerative blindness.Scientific reports · 2016Article
- Treatment Paradigms for Retinal and Macular Diseases Using 3-D Retina Cultures Derived From Human Reporter Pluripotent Stem Cell Lines.Investigative ophthalmology & visual science · 2016Article
- Rebuilding the Missing Part-A Review on Photoreceptor Transplantation.Frontiers in systems neuroscience · 2016Review
- Transcriptome Dynamics of Developing Photoreceptors in Three-Dimensional Retina Cultures Recapitulates Temporal Sequence of Human Cone and Rod Differentiation Revealing Cell Surface Markers and Gene Networks.Stem cells (Dayton, Ohio) · 2015Article
- Transplantation of Photoreceptor Precursors Isolated via a Cell Surface Biomarker Panel From Embryonic Stem Cell-Derived Self-Forming Retina.Stem cells (Dayton, Ohio) · 2015Article
- Gene expression changes during retinal development and rod specification.Molecular vision · 2015Article
- Quick and reliable method for retina dissociation and separation of rod photoreceptor perikarya from adult mice.MethodsX · 2015Article
- Regenerative medicine in the retina: from stem cells to cell replacement therapy.Therapeutic advances in ophthalmologyReview
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Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTransplantation of cells into retinas affected by degenerative diseases to replace dying photoreceptors represents a promising therapeutic approach. Young photoreceptors of 4-day-old mice show the highest capacity to integrate into the retinas of adult mice following grafting. Additional enrichment of these donor cells before transplantation with cell surface marker-dependent sorting methods further increases success rates. Currently, defined cell surface markers specific for transplantable photoreceptors that can be used for enrichment are limited. Therefore, identifying alternative targets would be advantageous.
methodsMicroarray data of young rod photoreceptors were analyzed using the Database for Annotation, Visualization and Integrated Discovery combined with a literature search to identify genes encoding for proteins containing extracellular domains. Candidate genes were further analyzed with reverse transcriptase polymerase chain reaction (RT-PCR) for their retinal specificity. In situ hybridization and immunohistochemistry were used to identify their localization within the retina.
resultsEnrichment of candidates by Database for Annotation, Visualization and Integrated Discovery revealed 65 proteins containing extracellular domains. Reverse transcriptase polymerase chain reaction identified Atp8a2, Cacna2d4, Cadm2, Cnga1, Kcnv2, and Pcdh21 as expressed in the retina and only a few additional tissues. In situ hybridization and immunohistochemistry showed specificity of Cacna2d4, Kcnv2, and Pcdh21 for photoreceptors in the retinas of young mice.
conclusionsCacna2d4, Kcnv2, and Cnga1 were identified as specific for target cells in the retinas of young mice and could serve as candidates for rod photoreceptor enrichment to replace cells in retinal degenerative diseases.
Indexed as
Identifiers
24146539PMC3786453W1573327419What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.