Evidence map›Paper›PMID 24999033›Full record

ArticleJournal of visualized experiments : JoVE2014

MicroRNA expression profiles of human iPS cells, retinal pigment epithelium derived from iPS, and fetal retinal pigment epithelium.

Whitney A Greene, Alberto Muñiz, Mark L Plamper, Ramesh R Kaini, Heuy-Ching Wang

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. The Impact of miRNAs in Health and Disease of Retinal Pigment Epithelium.Frontiers in cell and developmental biology · 2020
    Review
  6. Article
  7. 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

5 authors at 1 institution in 1 country.

Whitney A GreeneOcular Trauma, U.S. Army Institute of Surgical Research, JBSA Fort Sam Houston.
Alberto MuñizOcular Trauma, U.S. Army Institute of Surgical Research, JBSA Fort Sam Houston.
Mark L PlamperOcular Trauma, U.S. Army Institute of Surgical Research, JBSA Fort Sam Houston.
Ramesh R KainiOcular Trauma, U.S. Army Institute of Surgical Research, JBSA Fort Sam Houston.
Heuy-Ching WangOcular Trauma, U.S. Army Institute of Surgical Research, JBSA Fort Sam Houston; heuy-ching.h.wang.civ@mail.mil.
United States Army Institute of Surgical Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this report is to describe the protocols for comparing the microRNA (miRNA) profiles of human induced-pluripotent stem (iPS) cells, retinal pigment epithelium (RPE) derived from human iPS cells (iPS-RPE), and fetal RPE. The protocols include collection of RNA for analysis by microarray, and the analysis of microarray data to identify miRNAs that are differentially expressed among three cell types. The methods for culture of iPS cells and fetal RPE are explained. The protocol used for differentiation of RPE from human iPS is also described. The RNA extraction technique we describe was selected to allow maximal recovery of very small RNA for use in a miRNA microarray. Finally, cellular pathway and network analysis of microarray data is explained. These techniques will facilitate the comparison of the miRNA profiles of three different cell types.

Indexed as

FetusGene Expression ProfilingHumansInduced Pluripotent Stem CellsMicroarray AnalysisMicroRNAsRetinal Pigment EpitheliumMicroRNAs

Identifiers

PMID24999033
PMCPMC4204998
OpenAlexW2019213142

What OpenQuestion holds

Textmetadata
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.