Evidence map›Paper›PMID 29929553›Full record

ArticleHuman genomics2018

Computational analysis of mRNA expression profiling in the inner ear reveals candidate transcription factors associated with proliferation, differentiation, and deafness.

Kobi Perl, Ron Shamir, Karen B Avraham

Abstract read
In one paragraph

Article in Human genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. The Genomics of Auditory Function and Disease.Annual review of genomics and human genetics · 2022
    Review
  7. Review
  8. Article
  9. 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.

Kobi PerlBlavatnik School of Computer Science, Tel Aviv University, 6997801, Tel Aviv, Israel.
Ron ShamirBlavatnik School of Computer Science, Tel Aviv University, 6997801, Tel Aviv, Israel. rshamir@tau.ac.il.
Karen B AvrahamDepartment of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University, 6997801, Tel Aviv, Israel. karena@tauex.tau.ac.il.ORCID 0000-0002-4913-251X

Funding

Genomic Approaches to Discovery and Characterization of Genes for Inherited Hearing LossR01DC011835 · NIDCD · TEL AVIV UNIVERSITY · PI AVRAHAM, KAREN B., KANAAN, MOIEN · 2011 to 2022
$3.5M
Israel Science Foundation 2033/16Israel Science Foundation ISF-NSFC joint programNIDCD NIH HHS R01 DC011835NIDCD NIH HHS R01DC011835United States - Israel Binational Science Foundation 2013027
6 · The paper itself

Abstract

backgroundHearing loss is a major cause of disability worldwide, impairing communication, health, and quality of life. Emerging methods of gene therapy aim to address this morbidity, which can be employed to fix a genetic problem causing hair cell dysfunction and to promote the proliferation of supporting cells in the cochlea and their transdifferentiation into hair cells. In order to extend the applicability of gene therapy, the scientific community is focusing on discovery of additional deafness genes, identifying new genetic variants associated with hearing loss, and revealing new factors that can be manipulated in a coordinated manner to improve hair cell regeneration. Here, we addressed these challenges via genome-wide measurement and computational analysis of transcriptional profiles of mouse cochlea and vestibule sensory epithelium at embryonic day (E)16.5 and postnatal day (P)0. These time points correspond to developmental stages before and during the acquisition of mechanosensitivity, a major turning point in the ability to hear.

resultsWe hypothesized that tissue-specific transcription factors are primarily involved in differentiation, while those associated with development are more concerned with proliferation. Therefore, we searched for enrichment of transcription factor binding motifs in genes differentially expressed between the tissues and between developmental ages of mouse sensory epithelium. By comparison with transcription factors known to alter their expression during avian hair cell regeneration, we identified 37 candidates likely to be important for regeneration. Furthermore, according to our estimates, only half of the deafness genes in human have been discovered. To help remedy the situation, we developed a machine learning classifier that utilizes the expression patterns of genes to predict how likely they are to be undiscovered deafness genes.

conclusionsWe used a novel approach to highlight novel additional factors that can serve as points of intervention for enhancing hair cell regeneration. Given the similarities between mouse and human deafness, our predictions may be of value in prioritizing future research on novel human deafness genes.

Indexed as

AnimalsCell DifferentiationCell ProliferationEar, InnerGene Expression Regulation, DevelopmentalHearing LossHumansMiceRegenerationRNA, MessengerTranscription FactorsRNA, MessengerTranscription FactorsBalanceCochleaDeafnessHearingInner earRegenerationTranscriptome

Identifiers

PMID29929553
PMCPMC6013912

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Registered trials

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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.