Evidence map›Paper›PMID 29306725›Full record

ReviewCurrent opinion in cell biology2018

Messages from the voices within: regulation of signaling by proteins of the nuclear lamina.

Larry Gerace, Olga Tapia

Abstract readReview
In one paragraph

Review in Current opinion in cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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  5. Review
  6. Article
  7. Article
  8. International journal of molecular sciences · 2023
    Review
  9. Article
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  11. 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 at 1 institution in 2 countries.

Larry GeraceDepartment of Molecular Medicine, The Scripps Research Institute, 10550 N Torrey Pines Rd, La Jolla, CA 92037, United States. Electronic address: lgerace@scripps.edu.
Olga TapiaDepartment of Molecular Medicine, The Scripps Research Institute, 10550 N Torrey Pines Rd, La Jolla, CA 92037, United States; Department of Anatomy and Cell Biology and CIBERNED, University of Cantabria-IDIVAL, Cardenal H Oria s/n, 39011 Santander, Spain.
Scripps Research Institute · US

Funding

STRUCTURE AND FUNCTIONS OF THE NUCLEAR ENVELOPER01GM028521 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI GERACE, LARRY R. · 1985 to 2020
$7.0M
Mapping the organization of the peripheral nuclear compartmentU01DA040709 · NIDA · SCRIPPS RESEARCH INSTITUTE, THE · PI GERACE, LARRY R. · 2015 to 2019
$2.9M
NIDA NIH HHS U01 DA040709NIGMS NIH HHS R01 GM028521
6 · The paper itself

Abstract

The nuclear lamina (NL) is a protein scaffold lining the nuclear envelope that consists of nuclear lamins and associated transmembrane proteins. It helps to organize the nuclear envelope, chromosomes, and the cytoplasmic cytoskeleton. The NL also has an important role in regulation of signaling, as highlighted by the wide range of human diseases caused by mutations in the genes for NL proteins with associated signaling defects. This review will consider diverse mechanisms for signaling regulation by the NL that have been uncovered recently, including interaction with signaling effectors, modulation of actin assembly and compositional alteration of the NL. Cells with discrete NL mutations often show disruption of multiple signaling pathways, however, and for the most part the mechanistic basis for these complex phenotypes remains to be elucidated.

Indexed as

HumansNuclear LaminaNuclear ProteinsSignal TransductionNuclear Proteins

Identifiers

PMID29306725
PMCPMC5988997
OpenAlexW2782139124

What OpenQuestion holds

Textmetadata
LicenceTDM
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.