Evidence map›Paper›PMID 27911706›Full record

ReviewBiochemical Society transactions2016

Using induced pluripotent stem cells to understand retinal ciliopathy disease mechanisms and develop therapies.

David A Parfitt, Amelia Lane, Conor Ramsden, Katarina Jovanovic, Peter J Coffey, Alison J Hardcastle, Michael E Cheetham

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Primary cilia biogenesis and associated retinal ciliopathies.Seminars in cell & developmental biology · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
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  16. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

David A Parfitt *UCL Institute of Ophthalmology, 11-43 Bath Street, London, EC1V 9EL UK.
Amelia Lane *UCL Institute of Ophthalmology, 11-43 Bath Street, London, EC1V 9EL UK.
Conor RamsdenUCL Institute of Ophthalmology, 11-43 Bath Street, London, EC1V 9EL UK.
Katarina JovanovicUCL Institute of Ophthalmology, 11-43 Bath Street, London, EC1V 9EL UK.
Peter J CoffeyUCL Institute of Ophthalmology, 11-43 Bath Street, London, EC1V 9EL UK.
Alison J HardcastleUCL Institute of Ophthalmology, 11-43 Bath Street, London, EC1V 9EL UK.
Michael E CheethamUCL Institute of Ophthalmology, 11-43 Bath Street, London, EC1V 9EL UK.

Funding

Wellcome Trust 092621
6 · The paper itself

Abstract

The photoreceptor cells in the retina have a highly specialised sensory cilium, the outer segment (OS), which is important for detecting light. Mutations in cilia-related genes often result in retinal degeneration. The ability to reprogramme human cells into induced pluripotent stem cells and then differentiate them into a wide range of different cell types has revolutionised our ability to study human disease. To date, however, the challenge of producing fully differentiated photoreceptors in vitro has limited the application of this technology in studying retinal degeneration. In this review, we will discuss recent advances in stem cell technology and photoreceptor differentiation. In particular, the development of photoreceptors with rudimentary OS that can be used to understand disease mechanisms and as an important model to test potential new therapies for inherited retinal ciliopathies.

Indexed as

AnimalsCell DifferentiationCells, CulturedCiliaCiliopathiesHumansInduced Pluripotent Stem CellsMutationRetinaRetinal Degeneration3D organoidsCEP290ciliainduced pluripotent stem cellsphotoreceptorsretinal degeneration

Identifiers

PMID27911706
PMCPMC5238943

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Registered trials

None linked

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.