Evidence map›Paper›PMID 25943139›Full record

ReviewBiology of the cell2015

Left-right asymmetry in the light of TOR: An update on what we know so far.

Teresa Casar Tena, Martin D Burkhalter, Melanie Philipp

Abstract readReview
In one paragraph

Review in Biology of the cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Cholesterol and Phosphoinositides in Cilia Biology.Advances in experimental medicine and biology · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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

3 authors.

Teresa Casar TenaInstitute for Biochemistry and Molecular Biology, Ulm University, Ulm, 89081, Germany.
Martin D BurkhalterLeibniz Institute for Age Research Fritz Lippmann Institute, Jena, 07745, Germany.
Melanie PhilippInstitute for Biochemistry and Molecular Biology, Ulm University, Ulm, 89081, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The internal left-right (LR) asymmetry is a characteristic that exists throughout the animal kingdom from roundworms over flies and fish to mammals. Cilia, which are antenna-like structures protruding into the extracellular space, are involved in establishing LR asymmetry during early development. Humans who suffer from dysfunctional cilia often develop conditions such as heterotaxy, where internal organs appear to be placed randomly. As a consequence to this failure in asymmetry development, serious complications such as congenital heart defects (CHD) occur. The mammalian (or mechanistic) target of rapamycin (mTOR) pathway has recently emerged as an important regulator regarding symmetry breaking. The mTOR pathway governs fundamental processes such as protein translation or metabolism. Its activity can be transduced by two complexes, which are called TORC1 and TORC2, respectively. So far, only TORC1 has been implicated with asymmetry development and appears to require very precise regulation. A number of recent papers provided evidence that dysregulated TORC1 results in alterations of motile cilia and asymmetry defects. In here, we give an update on what we know so far of mTORC1 in LR asymmetry development.

Indexed as

AnimalsBody PatterningCiliaHeterotaxy SyndromeHumansMechanistic Target of Rapamycin Complex 1Multiprotein ComplexesTOR Serine-Threonine KinasesMechanistic Target of Rapamycin Complex 1Multiprotein ComplexesTOR Serine-Threonine KinasesCiliaHeterotaxyLeft-right asymmetryTORC1Zebrafish

Identifiers

PMID25943139
PMCPMC4744706

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.