Evidence map›Paper›PMID 27415791›Full record

ArticleInvestigative ophthalmology & visual science2016

miRNA Profile in Three Different Normal Human Ocular Tissues by miRNA-Seq.

Michelle Drewry, Inas Helwa, R Rand Allingham, Michael A Hauser, Yutao Liu

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

37 citing papers in PubMed, 55 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Role of epigenetics in corneal health and disease.Progress in retinal and eye research · 2025
    Review
  7. Article
  8. Article
  9. MicroRNA Profiling in the Aqueous Humor of Keratoconus Eyes.Translational vision science & technology · 2022
    Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. The role of microRNAs in glaucoma.Experimental eye research · 2022
    Review
  20. Review
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

5 authors at 3 institutions in 1 country.

Michelle DrewryDepartment of Cellular Biology and Anatomy, Medical College of Georgia, Augusta University, Augusta, Georgia, United States.
Inas HelwaDepartment of Cellular Biology and Anatomy, Medical College of Georgia, Augusta University, Augusta, Georgia, United States.
R Rand AllinghamDepartment of Ophthalmology, Duke University Medical Center, Durham, North Carolina, United States.
Michael A HauserDepartment of Medicine and Ophthalmology, Duke University Medical Center, Durham, North Carolina, United States.
Yutao LiuDepartment of Cellular Biology and Anatomy, Medical College of Georgia, Augusta University, Augusta, Georgia, United States 4Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, Georgia, United States 5Ja.
Augusta University · USDuke Medical Center · USDiscovery Institute · US

Funding

VISION RESEARCHP30EY005722 · NEI · DUKE UNIVERSITY · PI Vadim Y Arshavsky · 1985 to 2026
$19.3M
Gene Discovery in Familial KeratoconusR01EY023242 · NEI · DUKE UNIVERSITY · PI LIU, YUTAO · 2013 to 2023
$3.4M
Gene Discovery in Primary Congenital GlaucomaR01EY023646 · NEI · DUKE UNIVERSITY · PI ALLINGHAM, ROBERT RAND, HAUSER, MICHAEL A · 2013 to 2015
$1.3M
NEI NIH HHS P30 EY005722NEI NIH HHS R01 EY023242NEI NIH HHS R01 EY023646
6 · The paper itself

Abstract

purposeBecause microRNAs (miRNAs) have been associated with eye diseases, our study aims to profile ocular miRNA expression in normal human ciliary body (CB), cornea, and trabecular meshwork (TM) using miRNA-Seq to provide a foundation for better understanding of miRNA function and disease involvement in these tissues.

methodsTotal RNAs were extracted from seven normal human CB, seven cornea, and seven TM samples using mirVana total RNA isolation kit. miRNA-Seq was done with Illumina MiSeq. Bowtie software was used to trim and align generated sequence reads, and only exact matches to mature miRNAs from miRBase were included. The miRTarBase database was used to analyze miRNA target interactions, and the expression of five selected miRNAs was validated using droplet digital PCR (ddPCR).

resultsUsing the miRNA extracted from 21 human samples, we found 378 miRNAs collectively expressed, of which the 11 most abundant miRNAs represented 80% of the total normalized reads. We also identified uniquely expressed miRNAs, of which five share 18 highly validated gene targets, and created a profile of miRNAs known to target genes associated with keratoconus and glaucoma. Using ddPCR, we validated the expression profile of five miRNAs from miRNA-Seq.

conclusionsFor the first time, we profiled miRNA expression in three human ocular tissues using miRNA-Seq, identifying many miRNAs that had not been previously reported in ocular tissue. Defining the relative expression of miRNAs in nondiseased eye tissues could help uncover changes in miRNA expression that accompany diseases such as glaucoma and keratoconus.

Indexed as

AgedCiliary BodyCorneaFemaleGlaucomaHumansKeratoconusMaleMicroRNAsMiddle AgedSequence Analysis, RNATrabecular MeshworkMicroRNAs

Identifiers

PMID27415791
PMCPMC4961003
OpenAlexW2475033908

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.