Evidence map›Paper›PMID 26505672›Full record

ReviewCell cycle (Georgetown, Tex.)2015

A perspective on stem cell modeling of amyotrophic lateral sclerosis.

A Sophie de Boer, Kevin Eggan

Abstract readReview
In one paragraph

Review in Cell cycle (Georgetown, Tex.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Emerging hiPSC Models for Drug Discovery in Neurodegenerative Diseases.International journal of molecular sciences · 2021
    Review
  3. Article
  4. Article
  5. Article
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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

2 authors.

A Sophie de Boera The Howard Hughes Medical Institute; The Harvard Stem Cell Institute; The Stanley Center for Psychiatric Research ; The Department of Stem Cell and Regenerative Biology ; Harvard University ; Cambridge , MA USA.
Kevin Eggana The Howard Hughes Medical Institute; The Harvard Stem Cell Institute; The Stanley Center for Psychiatric Research ; The Department of Stem Cell and Regenerative Biology ; Harvard University ; Cambridge , MA USA.

Funding

Generation and Characterization of Amyotrophic Lateral Sclerosis iPS cellsRC2NS069395 · NINDS · JOHNS HOPKINS UNIVERSITY · PI CUDKOWICZ, MERIT E, EGGAN, KEVIN C · 2009 to 2010
$3.8M
C9ORF72 in Motor System Biology and ALSR01NS089742 · NINDS · HARVARD UNIVERSITY · PI EGGAN, KEVIN C · 2014 to 2018
$2.3M
Howard Hughes Medical InstituteNINDS NIH HHS R01NS089742NINDS NIH HHS RC2NS069395
6 · The paper itself

Abstract

Amyotrophic lateral sclerosis is a complex neurodegenerative disease. Limitations in animal models have impeded progress in studying disease pathology and potential drug discovery. Here, we will review recent advances in the development of stem cell models for the study of ALS. Additionally, we will discuss the progress toward therapeutic development derived from these stem cell based assays.

Indexed as

Cell Culture TechniquesAmyotrophic Lateral SclerosisAstrocytesCell DifferentiationDNA-Binding ProteinsHumansInduced Pluripotent Stem CellsMicrogliaRNA-Binding Protein FUSSuperoxide DismutaseSuperoxide Dismutase-1Vesicular Transport ProteinsDNA-Binding ProteinsFUS protein, humanRNA-Binding Protein FUSSOD1 protein, humanSuperoxide DismutaseSuperoxide Dismutase-1TARDBP protein, humanVAPB protein, humanVesicular Transport ProteinsAmyotrophic Lateral Sclerosisastrocyteembryonic stem cellsgliainduced pluripotent stem cellsmicrogliamotor neuron

Identifiers

PMID26505672
PMCPMC4825790

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.