Evidence map›Paper›PMID 25368377›Full record

ReviewStem cells translational medicine2014

Concise review: modeling central nervous system diseases using induced pluripotent stem cells.

Xianmin Zeng, Joshua G Hunsberger, Anton Simeonov, Nasir Malik, Ying Pei, Mahendra Rao

Open access · goldAbstract readReview
In one paragraph

Review in Stem cells translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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

6 authors at 4 institutions in 1 country.

Xianmin ZengXCell Science Inc., Novato, California, USA; Buck Institute for Research on Aging, Novato, California, USA; Laboratory of Stem Cell Biology, NIH Center for Regenerative Medicine, Bethesda, Maryland, USA; National Center for Advancing Translational Sciences, NIH, Bethesda, Maryland, USA; New York Stem Cell Foundation, New York, New York, USA xzeng@xcellscience.com.
Joshua G HunsbergerXCell Science Inc., Novato, California, USA; Buck Institute for Research on Aging, Novato, California, USA; Laboratory of Stem Cell Biology, NIH Center for Regenerative Medicine, Bethesda, Maryland, USA; National Center for Advancing Translational Sciences, NIH, Bethesda, Maryland, USA; New York Stem Cell Foundation, New York, New York, USA.
Anton SimeonovXCell Science Inc., Novato, California, USA; Buck Institute for Research on Aging, Novato, California, USA; Laboratory of Stem Cell Biology, NIH Center for Regenerative Medicine, Bethesda, Maryland, USA; National Center for Advancing Translational Sciences, NIH, Bethesda, Maryland, USA; New York Stem Cell Foundation, New York, New York, USA.
Nasir MalikXCell Science Inc., Novato, California, USA; Buck Institute for Research on Aging, Novato, California, USA; Laboratory of Stem Cell Biology, NIH Center for Regenerative Medicine, Bethesda, Maryland, USA; National Center for Advancing Translational Sciences, NIH, Bethesda, Maryland, USA; New York Stem Cell Foundation, New York, New York, USA.
Ying PeiXCell Science Inc., Novato, California, USA; Buck Institute for Research on Aging, Novato, California, USA; Laboratory of Stem Cell Biology, NIH Center for Regenerative Medicine, Bethesda, Maryland, USA; National Center for Advancing Translational Sciences, NIH, Bethesda, Maryland, USA; New York Stem Cell Foundation, New York, New York, USA.
Mahendra RaoXCell Science Inc., Novato, California, USA; Buck Institute for Research on Aging, Novato, California, USA; Laboratory of Stem Cell Biology, NIH Center for Regenerative Medicine, Bethesda, Maryland, USA; National Center for Advancing Translational Sciences, NIH, Bethesda, Maryland, USA; New York Stem Cell Foundation, New York, New York, USA.
Center for Neuroscience and Regenerative Medicine · USBuck Institute for Research on Aging · USNational Center for Advancing Translational Sciences · USXCell Science (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Induced pluripotent stem cells (iPSCs) offer an opportunity to delve into the mechanisms underlying development while also affording the potential to take advantage of a number of naturally occurring mutations that contribute to either disease susceptibility or resistance. Just as with any new field, several models of screening are being explored, and innovators are working on the most efficient methods to overcome the inherent limitations of primary cell screens using iPSCs. In the present review, we provide a background regarding why iPSCs represent a paradigm shift for central nervous system (CNS) disease modeling. We describe the efforts in the field to develop more biologically relevant CNS disease models, which should provide screening assays useful for the pharmaceutical industry. We also provide some examples of successful uses for iPSC-based screens and suggest that additional development could revolutionize the field of drug discovery. The development and implementation of these advanced iPSC-based screens will create a more efficient disease-specific process underpinned by the biological mechanism in a patient- and disease-specific manner rather than by trial-and-error. Moreover, with careful and strategic planning, shared resources can be developed that will enable exponential advances in the field. This will undoubtedly lead to more sensitive and accurate screens for early diagnosis and allow the identification of patient-specific therapies, thus, paving the way to personalized medicine.

Indexed as

Induced Pluripotent Stem CellsModels, NeurologicalCentral Nervous System DiseasesDrug DiscoveryHumansPrecision MedicineCell-based screeningCentral nervous system diseaseGenetic engineeringiPSC

Identifiers

PMID25368377
PMCPMC4250211
OpenAlexW1997847757

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.