Evidence map›Paper›PMID 27716130›Full record

ArticleBMC genomics2016

Novel microRNA discovery using small RNA sequencing in post-mortem human brain.

Christian Wake, Adam Labadorf, Alexandra Dumitriu, Andrew G Hoss, Joli Bregu, Kenneth H Albrecht, Anita L DeStefano, Richard H Myers

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 16% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  9. An Overview of Epigenetic Changes in the Parkinson's Disease Brain.International journal of molecular sciences · 2024
    Review
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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 1 institution in 1 country.

Christian WakeDepartment of Neurology, Boston University School of Medicine, Boston, USA. cwake@bu.edu.ORCID 0000-0001-5038-5488
Adam LabadorfDepartment of Neurology, Boston University School of Medicine, Boston, USA.
Alexandra DumitriuDepartment of Neurology, Boston University School of Medicine, Boston, USA.
Andrew G HossDepartment of Neurology, Boston University School of Medicine, Boston, USA.
Joli BreguDepartment of Neurology, Boston University School of Medicine, Boston, USA.
Kenneth H AlbrechtGenome Science Institute, Boston University School of Medicine, Boston, USA.
Anita L DeStefanoDepartment of Neurology, Boston University School of Medicine, Boston, USA.
Richard H MyersDepartment of Neurology, Boston University School of Medicine, Boston, USA.
Boston University · US

Funding

Epigenetic Markers in Huntington's disease BrainR01NS073947 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MYERS, RICHARD H · 2011 to 2015
$3.1M
Obesity Brain ExpressionR01DK099269 · NIDDK · BOSTON UNIVERSITY MEDICAL CAMPUS · PI DESTEFANO, ANITA L · 2014 to 2017
$2.6M
Characterization of the role of cyclin G-associated kinase in Parkinson diseaseR01NS076843 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MYERS, RICHARD H · 2011 to 2013
$1.4M
NIDDK NIH HHS R01 DK099269NINDS NIH HHS R01 NS073947NINDS NIH HHS R01 NS076843
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are short, non-coding RNAs that regulate gene expression mainly through translational repression of target mRNA molecules. More than 2700 human miRNAs have been identified and some are known to be associated with disease phenotypes and to display tissue-specific patterns of expression.

methodsWe used high-throughput small RNA sequencing to discover novel miRNAs in 93 human post-mortem prefrontal cortex samples from individuals with Huntington's disease (n = 28) or Parkinson's disease (n = 29) and controls without neurological impairment (n = 36). A custom miRNA identification analysis pipeline was built, which utilizes miRDeep* miRNA identification and result filtering based on false positive rate estimates.

resultsNinety-nine novel miRNA candidates with a false positive rate of less than 5 % were identified. Thirty-four of the candidate miRNAs show sequence similarity with known mature miRNA sequences and may be novel members of known miRNA families, while the remaining 65 may constitute previously undiscovered families of miRNAs. Nineteen of the 99 candidate miRNAs were replicated using independent, publicly-available human brain RNA-sequencing samples, and seven were experimentally validated using qPCR.

conclusionsWe have used small RNA sequencing to identify 99 putative novel miRNAs that are present in human brain samples.

Indexed as

Gene Expression ProfilingHigh-Throughput Nucleotide SequencingAutopsyBrainGene Expression RegulationHumansHuntington DiseaseMicroRNAsParkinson DiseaseMicroRNAsMicroRNAmiRNA sequencingNeurodegenerative diseaseNovel miRNA discoveryPrefrontal cortex

Identifiers

PMID27716130
PMCPMC5050850
OpenAlexW2529001871

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.