Evidence map›Paper›PMID 27830109›Full record

ArticleRare diseases (Austin, Tex.)2016

Pelger-Huët anomaly and Greenberg skeletal dysplasia: LBR-associated diseases of cholesterol metabolism.

Elizabeth M Turner, Christian Schlieker

Abstract read
In one paragraph

Article in Rare diseases (Austin, Tex.), 2016. 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
–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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. The LEM-ESCRT toolkit: Repair and maintenance of the nucleus.Frontiers in cell and developmental biology · 2022
    Review
  7. The Diverse Cellular Functions of Inner Nuclear Membrane Proteins.Cold Spring Harbor perspectives in biology · 2021
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  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

2 authors.

Elizabeth M TurnerDepartment of Molecular Biophysics & Biochemistry, Yale University , New Haven, CT, USA.
Christian SchliekerDepartment of Molecular Biophysics & Biochemistry, Yale University, New Haven, CT, USA; Department of Cell Biology, Yale School of Medicine, New Haven, CT, USA.

Funding

Structure-function analysis of Torsin ATPases in the context of the membraneR01GM114401 · NIGMS · YALE UNIVERSITY · PI SCHLIEKER, CHRISTIAN DIRK · 2016 to 2019
$1.3M
NIGMS NIH HHS R01 GM114401
6 · The paper itself

Abstract

Lamin B Receptor (LBR) is an inner nuclear membrane protein associated with the rare human diseases Pelger-Huët anomaly and Greenberg skeletal dysplasia. A new study has used CRISPR/Cas9-mediated genetic manipulations in a human cell system to determine that the molecular etiology of these previously poorly understood disorders is a defect in cholesterol synthesis due to loss of LBR-associated sterol C14 reductase activity. The study furthermore determined that disease-associated LBR point mutations reduce sterol C14 reductase activity by decreasing the affinity of LBR for the reducing agent NADPH. Moreover, two disease-associated LBR truncation mutants were found to be highly unstable at the protein level and are rapidly turned over by a novel nuclear membrane-based protein quality control pathway. Thus, truncated LBR variants can now be used as model substrates for further investigations of nuclear protein quality control to uncover possible implications for other disease-associated nuclear envelopathies.

Indexed as

ERADGreenberg skeletal dysplasialaminopathynuclear envelopePelger-Huët anomalyproteasomeprotein quality controlsterol C14 reductasesterol metabolismubiquitin

Identifiers

PMID27830109
PMCPMC5077067

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.