Evidence map›Paper›PMID 29843592›Full record

ArticleBMC genomics2018

Diversity and signature of small RNA in different bodily fluids using next generation sequencing.

Mohamed El-Mogy, Bernard Lam, Taha A Haj-Ahmad, Shannon McGowan, Darrick Yu, Lucas Nosal, Nezar Rghei, Pam Roberts, Yousef Haj-Ahmad

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

55 citing papers in PubMed, 90 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

9 authors at 2 institutions in 1 country.

Mohamed El-MogyNorgen Biotek Corp, Thorold, ON, L2V 4Y6, Canada. melmogy@norgenbiotek.com.
Bernard LamNorgen Biotek Corp, Thorold, ON, L2V 4Y6, Canada.
Taha A Haj-AhmadNorgen Biotek Corp, Thorold, ON, L2V 4Y6, Canada.
Shannon McGowanDepartment of Biological Sciences, Brock University, St. Catharines, ON, L2S 3A1, Canada.
Darrick YuNorgen Biotek Corp, Thorold, ON, L2V 4Y6, Canada.
Lucas NosalNorgen Biotek Corp, Thorold, ON, L2V 4Y6, Canada.
Nezar RgheiNorgen Biotek Corp, Thorold, ON, L2V 4Y6, Canada.
Pam RobertsNorgen Biotek Corp, Thorold, ON, L2V 4Y6, Canada.
Yousef Haj-AhmadNorgen Biotek Corp, Thorold, ON, L2V 4Y6, Canada.
Norgen Biotek Corporation (Canada) · CABrock University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmall RNAs are critical components in regulating various cellular pathways. These molecules may be tissue-associated or circulating in bodily fluids and have been shown to associate with different tumors. Next generation sequencing (NGS) on small RNAs is a powerful tool for profiling and discovery of microRNAs (miRNAs).

resultsIn this study, we isolated total RNA from various bodily fluids: blood, leukocytes, serum, plasma, saliva, cell-free saliva, urine and cell-free urine. Next, we used Illumina's NGS platform and intensive bioinformatics analysis to investigate the distribution and signature of small RNAs in the various fluids. Successful NGS was accomplished despite the variations in RNA concentrations among the different fluids. Among the fluids studied, blood and plasma were found to be the most promising fluids for small RNA profiling as well as novel miRNA prediction. Saliva and urine yielded lower numbers of identifiable molecules and therefore were less reliable in small RNA profiling and less useful in predicting novel molecules. In addition, all fluids shared many molecules, including 139 miRNAs, the most abundant tRNAs, and the most abundant piwi-interacting RNAs (piRNAs). Fluids of similar origin (blood, urine or saliva) displayed closer clustering, while each fluid still retains its own characteristic signature based on its unique molecules and its levels of the common molecules. Donor urine samples showed sex-dependent differential clustering, which may prove useful for future studies.

conclusionsThis study shows the successful clustering and unique signatures of bodily fluids based on their miRNA, tRNA and piRNA content. With this information, cohorts may be differentiated based on multiple molecules from each small RNA class by a multidimensional assessment of the overall molecular signature.

Indexed as

Genetic VariationHigh-Throughput Nucleotide SequencingSequence Analysis, RNAAdultBody FluidsFemaleHumansMaleRNA, Small UntranslatedYoung AdultRNA, Small UntranslatedBloodmiRNANext generation sequencingpiRNAPlasmaSalivaSerumtRNAUrine

Identifiers

PMID29843592
PMCPMC5975555
OpenAlexW2805360216

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.