ReviewStem cells translational medicine2021
Microfluidic processing of stem cells for autologous cell replacement.
Review in Stem cells translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Microfluidics for cell therapy and manufacturing in oncology and regenerative medicine.Lab on a chip · 2026Review
- Review
- Top2b regulates morphological and migratory properties of retinal progenitor cells in vivo and upon transplantable matrix substrates.Exploration of biomat-x · 2025Article
- Harnessing the potential of hydrogels for advanced therapeutic applications: current achievements and future directions.Signal transduction and targeted therapy · 2024Review
- Sorting Technology for Mesenchymal Stem Cells from a Single Tissue Source.Stem cell reviews and reports · 2024Review
- iPSCs-Based Therapy for Trabecular Meshwork.Handbook of experimental pharmacology · 2023Article
- A treatment within sight: challenges in the development of stem cell-derived photoreceptor therapies for retinal degenerative diseases.Frontiers in transplantation · 2023Review
- Microfluidic processing of stem cells for autologous cell replacement.Stem cells translational medicine · 2021Review
- Outer Retinal Cell Replacement: Putting the Pieces Together.Translational vision science & technology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Autologous photoreceptor cell replacement is one of the most promising approaches currently under development for the treatment of inherited retinal degenerative blindness. Unlike endogenous stem cell populations, induced pluripotent stem cells (iPSCs) can be differentiated into both rod and cone photoreceptors in high numbers, making them ideal for this application. That said, in addition to photoreceptor cells, state of the art retinal differentiation protocols give rise to all of the different cell types of the normal retina, the majority of which are not required and may in fact hinder successful photoreceptor cell replacement. As such, following differentiation photoreceptor cell enrichment will likely be required. In addition, to prevent the newly generated photoreceptor cells from suffering the same fate as the patient's original cells, correction of the patient's disease-causing genetic mutations will be necessary. In this review we discuss literature pertaining to the use of different cell sorting and transfection approaches with a focus on the development and use of novel next generation microfluidic devices. We will discuss how gold standard strategies have been used, the advantages and disadvantages of each, and how novel microfluidic platforms can be incorporated into the clinical manufacturing pipeline to reduce the complexity, cost, and regulatory burden associated with clinical grade production of photoreceptor cells for autologous cell replacement.
Indexed as
Identifiers
What 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.