Evidence map›Paper›PMID 26271746›Full record

ArticleBMC genomics2015

Transcriptional maturation of the mouse auditory forebrain.

Troy A Hackett, Yan Guo, Amanda Clause, Nicholas J Hackett, Krassimira Garbett, Pan Zhang, Daniel B Polley, Karoly Mirnics

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. 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
1.5field-weighted citation impact, top 21% 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, 30 citations in OpenAlex.

  1. Article
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  5. Review
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  7. Article
  8. The use of nonhuman primates in studies of noise injury and treatment.The Journal of the Acoustical Society of America · 2019
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  11. Adenosine AAnatomical record (Hoboken, N.J. : 2007) · 2018
    Article
  12. Article
  13. Review
  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

8 authors at 4 institutions in 2 countries.

Troy A HackettDepartment of Hearing and Speech Sciences, Vanderbilt University School of Medicine, Nashville, TN, USA. troy.a.hackett@vanderbilt.edu.
Yan GuoDepartment of Cancer Biology, Vanderbilt University, Nashville, TN, USA. yan.guo@Vanderbilt.Edu.
Amanda ClauseEaton-Peabody Laboratories, Massachusetts Eye and Ear Infirmary, Department of Otology and Laryngology, Harvard Medical School, Boston, MA, USA. amanda.r.clause@gmail.com.
Nicholas J HackettNorthwestern University Feinberg School of Medicine, Chicago, IL, USA. nickyhackett@gmail.com.
Krassimira GarbettDepartment of Psychiatry, Vanderbilt University, Nashville, TN, USA. krassimira.garbett@Vanderbilt.Edu.
Pan ZhangDepartment of Cancer Biology, Vanderbilt University, Nashville, TN, USA. pan.zhang@vanderbilt.edu.
Daniel B PolleyEaton-Peabody Laboratories, Massachusetts Eye and Ear Infirmary, Department of Otology and Laryngology, Harvard Medical School, Boston, MA, USA. daniel_polley@meei.harvard.edu.
Karoly MirnicsDepartment of Psychiatry, Vanderbilt University, Nashville, TN, USA. karoly.mirnics@Vanderbilt.Edu.
Vanderbilt University · USHarvard University · USJohn F. Kennedy Center for the Performing Arts · USNorthwestern University · US

Funding

THREE-TIERED PREVENTION MODEL TO BETTER SERVE ALL STUDENP30HD015052 · NICHD · VANDERBILT UNIVERSITY · PI MIRNICS, KAROLY · 1985 to 2014
$18.6M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
Activity-Dependent Influences on Auditory CircuitsR01DC009836 · NIDCD · VANDERBILT UNIVERSITY · PI POLLEY, DANIEL B. · 2009 to 2024
$6.7M
Gene Expression During Postnatal Development of the Central Auditory PathwayK18DC012527 · NIDCD · VANDERBILT UNIVERSITY · PI HACKETT, TROY A. · 2013 to 2014
$258k
NICHD NIH HHS P30 HD015052NICHD NIH HHS P30-HD015052-33NICHD NIH HHS U54 HD083211NIDCD NIH HHS K18 DC012527NIDCD NIH HHS R01 DC009836
6 · The paper itself

Abstract

backgroundThe maturation of the brain involves the coordinated expression of thousands of genes, proteins and regulatory elements over time. In sensory pathways, gene expression profiles are modified by age and sensory experience in a manner that differs between brain regions and cell types. In the auditory system of altricial animals, neuronal activity increases markedly after the opening of the ear canals, initiating events that culminate in the maturation of auditory circuitry in the brain. This window provides a unique opportunity to study how gene expression patterns are modified by the onset of sensory experience through maturity. As a tool for capturing these features, next-generation sequencing of total RNA (RNAseq) has tremendous utility, because the entire transcriptome can be screened to index expression of any gene. To date, whole transcriptome profiles have not been generated for any central auditory structure in any species at any age. In the present study, RNAseq was used to profile two regions of the mouse auditory forebrain (A1, primary auditory cortex; MG, medial geniculate) at key stages of postnatal development (P7, P14, P21, adult) before and after the onset of hearing (~P12). Hierarchical clustering, differential expression, and functional geneset enrichment analyses (GSEA) were used to profile the expression patterns of all genes. Selected genesets related to neurotransmission, developmental plasticity, critical periods and brain structure were highlighted. An accessible repository of the entire dataset was also constructed that permits extraction and screening of all data from the global through single-gene levels. To our knowledge, this is the first whole transcriptome sequencing study of the forebrain of any mammalian sensory system. Although the data are most relevant for the auditory system, they are generally applicable to forebrain structures in the visual and somatosensory systems, as well.

resultsThe main findings were: (1) Global gene expression patterns were tightly clustered by postnatal age and brain region; (2) comparing A1 and MG, the total numbers of differentially expressed genes were comparable from P7 to P21, then dropped to nearly half by adulthood; (3) comparing successive age groups, the greatest numbers of differentially expressed genes were found between P7 and P14 in both regions, followed by a steady decline in numbers with age; (4) maturational trajectories in expression levels varied at the single gene level (increasing, decreasing, static, other); (5) between regions, the profiles of single genes were often asymmetric; (6) GSEA revealed that genesets related to neural activity and plasticity were typically upregulated from P7 to adult, while those related to structure tended to be downregulated; (7) GSEA and pathways analysis of selected functional networks were not predictive of expression patterns in the auditory forebrain for all genes, reflecting regional specificity at the single gene level.

conclusionsGene expression in the auditory forebrain during postnatal development is in constant flux and becomes increasingly stable with age. Maturational changes are evident at the global through single gene levels. Transcriptome profiles in A1 and MG are distinct at all ages, and differ from other brain regions. The database generated by this study provides a rich foundation for the identification of novel developmental biomarkers, functional gene pathways, and targeted studies of postnatal maturation in the auditory forebrain.

Indexed as

AnimalsAnimals, NewbornAuditory CortexCluster AnalysisDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Regulatory NetworksMaleMiceProsencephalonSequence Analysis, RNA

Identifiers

PMID26271746
PMCPMC4536593
OpenAlexW2149475419

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.