Evidence map›Paper›PMID 26651603›Full record

ArticleStem cell reports2015

Genomic Analysis Reveals Disruption of Striatal Neuronal Development and Therapeutic Targets in Human Huntington's Disease Neural Stem Cells.

Karen L Ring, Mahru C An, Ningzhe Zhang, Robert N O'Brien, Eliana Marisa Ramos, Fuying Gao, Robert Atwood, Barbara J Bailus, Simon Melov, Sean D Mooney and 2 more

Abstract read
In one paragraph

Article in Stem cell reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

  1. Towards AI-driven prediction ofJournal of Huntington's disease · 2026
    Article
  2. Review
  3. Review
  4. Article
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  15. Article
  16. Article
  17. Article
  18. Article
  19. Modelling the Human Blood-Brain Barrier in Huntington Disease.International journal of molecular sciences · 2022
    Article
  20. Review

8 more citing papers are in PubMed but not listed here.

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

12 authors.

Karen L RingBuck Institute for Research on Aging, Novato, CA 94945, USA.
Mahru C AnBuck Institute for Research on Aging, Novato, CA 94945, USA.
Ningzhe ZhangBuck Institute for Research on Aging, Novato, CA 94945, USA.
Robert N O'BrienBuck Institute for Research on Aging, Novato, CA 94945, USA.
Eliana Marisa RamosDepartments of Neurology and Psychiatry, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Fuying GaoDepartments of Neurology and Psychiatry, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Robert AtwoodBuck Institute for Research on Aging, Novato, CA 94945, USA.
Barbara J BailusBuck Institute for Research on Aging, Novato, CA 94945, USA.
Simon MelovBuck Institute for Research on Aging, Novato, CA 94945, USA.
Sean D MooneyBuck Institute for Research on Aging, Novato, CA 94945, USA.
Giovanni CoppolaDepartments of Neurology and Psychiatry, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Lisa M EllerbyBuck Institute for Research on Aging, Novato, CA 94945, USA. Electronic address: lellerby@buckinstitute.org.

Funding

Training in Basic Research on Aging and Age-Related DiseaseT32AG000266 · NIA · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Lisa M Ellerby · 1998 to 2026
$13.8M
Integrative Center for Neurogenetics and Neurogenomics - OverallP30NS062691 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ESKIN, ELEAZAR · 2009 to 2018
$7.4M
Identifying Factors Regulating Medium Spiny Neuron Differentiation or Maintenance as Therapeutic Targets for Huntington's Disease using Induced Pluripotent Stem CellsR01NS100529 · NINDS · BUCK INSTITUTE FOR RESEARCH ON AGING · PI Lisa M Ellerby · 2016 to 2026
$5.6M
Huntington's Disease: Analysis of ProteolysisF32NS080551 · NINDS · BUCK INSTITUTE FOR RESEARCH ON AGING · PI O'BRIEN, ROBERT NORMAN · 2012 to 2013
$97k
NIA NIH HHS T32 AG000266NINDS NIH HHS F32 NS080551NINDS NIH HHS P30 NS062691NINDS NIH HHS R01 NS100529
6 · The paper itself

Abstract

We utilized induced pluripotent stem cells (iPSCs) derived from Huntington's disease (HD) patients as a human model of HD and determined that the disease phenotypes only manifest in the differentiated neural stem cell (NSC) stage, not in iPSCs. To understand the molecular basis for the CAG repeat expansion-dependent disease phenotypes in NSCs, we performed transcriptomic analysis of HD iPSCs and HD NSCs compared to isogenic controls. Differential gene expression and pathway analysis pointed to transforming growth factor β (TGF-β) and netrin-1 as the top dysregulated pathways. Using data-driven gene coexpression network analysis, we identified seven distinct coexpression modules and focused on two that were correlated with changes in gene expression due to the CAG expansion. Our HD NSC model revealed the dysregulation of genes involved in neuronal development and the formation of the dorsal striatum. The striatal and neuronal networks disrupted could be modulated to correct HD phenotypes and provide therapeutic targets.

Indexed as

TranscriptomeCell LineGene Regulatory NetworksHumansHuntingtin ProteinHuntington DiseaseInduced Pluripotent Stem CellsMutationNerve Growth FactorsNerve Tissue ProteinsNetrin-1Neural Stem CellsNeurogenesisTransforming Growth Factor betaTumor Suppressor ProteinsHTT protein, humanHuntingtin ProteinNerve Growth FactorsNerve Tissue ProteinsNetrin-1NTN1 protein, humanTransforming Growth Factor betaTumor Suppressor Proteins

Identifiers

PMID26651603
PMCPMC4682390

What OpenQuestion holds

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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.