Evidence map›Paper›PMID 26500764›Full record

ArticleF1000Research2014

MicroRNA levels quantified in whole blood varies from PBMCs.

Sadaf Atarod, Hannah Smith, Anne Dickinson, Xiao-Nong Wang

Open access · goldAbstract read
In one paragraph

Article in F1000Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Sadaf AtarodHaematological Sciences, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
Hannah SmithHaematological Sciences, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
Anne DickinsonHaematological Sciences, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
Xiao-Nong WangHaematological Sciences, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
Newcastle University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs are non-coding RNAs that negatively regulate mRNA expression and play significant roles in both health and disease. Differential microRNA expression has been used to aid diagnosis and discriminate disease stages. The accuracy and reliability of microRNA expression measurement is of utmost importance. Quantification of microRNA expression in human peripheral blood is commonly detected using total RNA extracted via different methods. To date, no convincing data are available showing whether microRNA quantification results can be influenced by the use of total RNA extracted from whole blood or peripheral blood mononuclear cells (PBMCs). This study examined miR-146a-5p and miR-155-5p expression using total RNA extracted in parallel from whole blood and PBMCs of 14 healthy volunteers. The data showed that the quantification of miRNA using total RNA extracted from whole blood varied from that of PBMCs, indicating that the miRNA expression was a result of all the different cell-types present in whole blood. Our results suggested that the source of total RNA and the statistical analyses performed are crucial considerations when designing miRNA research.

Indexed as

MicroRNAsPBMC

Identifiers

PMID26500764
PMCPMC4582824
OpenAlexW1994706770

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.