Evidence map›Paper›PMID 23917947›Full record

ArticleMolecular psychiatry2014

Identification of differentially expressed microRNAs across the developing human brain.

M N Ziats, O M Rennert

Abstract read
In one paragraph

Article in Molecular psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 3 pooled it
–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

145 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Advancing Ischemic Stroke Prognosis: Key Role of MiR-155 Non-Coding RNA.International journal of molecular sciences · 2025
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85 more citing papers are in PubMed but not listed here.

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.

M N Ziats1] National Institute of Child Health and Human Development, NIH, Bethesda, MD, USA [2] NIH-University of Cambridge Biomedical Scholars Program, Cambridge, UK [3] Baylor College of Medicine MSTP, Houston, TX, USA.
O M RennertNational Institute of Child Health and Human Development, NIH, Bethesda, MD, USA.

Funding

Studies of Pediatrics patients with genetic and metabolic disordersZIAHD008822 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI RENNERT, OWEN · 2009 to 2015
$6.4M
Intramural NIH HHS ZIA HD008822
6 · The paper itself

Abstract

We present a spatio-temporal assessment of microRNA (miRNA) expression throughout early human brain development. We assessed the prefrontal cortex, hippocampus and cerebellum of 18 normal human donor brains spanning infancy through adolescence by RNA-seq. We discovered differentially expressed miRNAs and broad miRNA patterns across both temporal and spatial dimensions, and between male and female prefrontal cortex. Putative target genes of the differentially expressed miRNAs were identified, which demonstrated functional enrichment for transcription regulation, synaptogenesis and other basic intracellular processes. Sex-biased miRNAs also targeted genes related to Wnt and transforming growth factor-beta pathways. The differentially expressed miRNA targets were highly enriched for gene sets related to autism, schizophrenia, bipolar disorder and depression, but not neurodegenerative diseases, epilepsy or other adult-onset psychiatric diseases. Our results suggest critical roles for the identified miRNAs in transcriptional networks of the developing human brain and neurodevelopmental disorders.

Indexed as

AdolescentBrainCerebellumChildChild, PreschoolFemaleGene Expression Regulation, DevelopmentalHippocampusHumansInfantMaleMental DisordersMicroRNAsNeurodegenerative DiseasesPrefrontal CortexSex CharacteristicsMicroRNAs

Identifiers

PMID23917947
PMCPMC3840150

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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.