Evidence map›Paper›PMID 22688958›Full record

ReviewCell and tissue research2012

Understanding the evolution and development of neurosensory transcription factors of the ear to enhance therapeutic translation.

Ning Pan, Benjamin Kopecky, Israt Jahan, Bernd Fritzsch

Open access · greenAbstract readReview
In one paragraph

Review in Cell and tissue research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Sequential Retraction Segregates SGN Processes during Target Selection in the Cochlea.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    Article
  5. The quest for restoring hearing: Understanding ear development more completely.BioEssays : news and reviews in molecular, cellular and developmental biology · 2015
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Evolution of vertebrate mechanosensory hair cells and inner ears: toward identifying stimuli that select mutation driven altered morphologies.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2014
    Review
  11. Review
  12. Review
  13. Cell lineage analysis reveals three different progenitor pools for neurosensory elements in the otic vesicle.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2012
    Article
  14. Article
  15. 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

4 authors at 1 institution in 1 country.

Ning PanDepartment of Biology, University of Iowa, College of Liberal Arts and Sciences, Iowa City, IA 52242, USA.
Benjamin Kopecky
Israt Jahan
Bernd Fritzsch
University of Iowa · US

Funding

UNIVERSITY OF IOWA CTSA FOR PEDIATRIC RESEARCHUL1RR024979 · NCRR · UNIVERSITY OF IOWA · PI ROSENTHAL, GARY E · 2007 to 2011
$31.8M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007337 · NIGMS · UNIVERSITY OF IOWA · PI GEYER, PAMELA K., LENTZ, STEVEN R · 1985 to 2020
$15.9M
DISSECTING THE EAR NEUROSENSORY DEVELOPMENT.R01DC005590 · NIDCD · UNIVERSITY OF IOWA · PI FRITZSCH, BERND · 2002 to 2010
$3.3M
Tissue Culture CoreP30DC010362 · NIDCD · UNIVERSITY OF IOWA · PI EBERL, DANIEL F, LOGSDON, JOHN M · 2010 to 2014
$2.0M
NCRR NIH HHS UL1 RR024979NCRR NIH HHS UL1RR024979NIDCD NIH HHS P30 DC 010362NIDCD NIH HHS P30 DC010362NIDCD NIH HHS R01 DC 005590NIDCD NIH HHS R01 DC005590NIGMS NIH HHS T32 GM007337
6 · The paper itself

Abstract

Reconstructing a functional organ of Corti is the ultimate target towards curing hearing loss. Despite the impressive technical gains made over the last few years, many complications remain ahead for the two main restoration avenues: in vitro transformation of pluripotent cells into hair cell-like cells and adenovirus-mediated gene therapy. Most notably, both approaches require a more complete understanding of the molecular networks that ensure specific cell types form in the correct places to allow proper function of the restored organ of Corti. Important to this understanding are the basic helix-loop-helix (bHLH) transcription factors (TFs) that are highly diverse and serve to increase functional complexity but their evolutionary implementation in the inner ear neurosensory development is less conspicuous. To this end, we review the evolutionary and developmentally dynamic interactions of the three bHLH TFs that have been identified as the main players in neurosensory evolution and development, Neurog1, Neurod1 and Atoh1. These three TFs belong to the neurogenin/atonal family and evolved from a molecular precursor that likely regulated single sensory cell development in the ectoderm of metazoan ancestors but are now also expressed in other parts of the body, including the brain. They interact extensively via intracellular and intercellular cross-regulation to establish the two main neurosensory cell types of the ear, the hair cells and sensory neurons. Furthermore, the level and duration of their expression affect the specification of hair cell subtypes (inner hair cells vs. outer hair cells). We propose that appropriate manipulation of these TFs through their characterized binding sites may offer a solution by itself, or in conjunction with the two other approaches currently pursued by others, to restore the organ of Corti.

Indexed as

AnimalsBasic Helix-Loop-Helix ProteinsEar, InnerEvolution, MolecularGene Expression Regulation, DevelopmentalHearing LossHumansOrgan of CortiBasic Helix-Loop-Helix Proteins

Identifiers

PMID22688958
PMCPMC3508675
OpenAlexW2072468398

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.