Evidence map›Paper›PMID 32422595›Full record

ArticleiScience2020

sMETASeq: Combined Profiling of Microbiota and Host Small RNAs.

Robin Mjelle, Kristin Roseth Aass, Wenche Sjursen, Eva Hofsli, Pål Sætrom

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 11 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

5 authors at 2 institutions in 1 country.

Robin MjelleDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, NTNU, Trondheim 7030, Norway; Bioinformatics Core Facility-BioCore, Norwegian University of Science and Technology, NTNU, Trondheim 7491, Norway; K.G. Jebsen Center for Genetic Epidemiology, Norwegian University of Science and Technology, NTNU, Trondheim 7491, Norway. Electronic address: robin.mjelle@ntnu.no.
Kristin Roseth AassDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, NTNU, Trondheim 7030, Norway; Centre of Molecular Inflammation Research, Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim 7030, Norway.
Wenche SjursenDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, NTNU, Trondheim 7030, Norway; Department of Medical Genetics, St. Olavs Hospital, Trondheim 7030, Norway.
Eva HofsliDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, NTNU, Trondheim 7030, Norway; The Cancer Clinic, St. Olavs Hospital, Trondheim University Hospital, Trondheim 7030, Norway.
Pål SætromDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, NTNU, Trondheim 7030, Norway; Department of Computer and Information Science, Norwegian University of Science and Technology, NTNU, Trondheim 7491, Norway; Bioinformatics Core Facility-BioCore, Norwegian University of Science and Technology, NTNU, Trondheim 7491, Norway; K.G. Jebsen Center for Genetic Epidemiology, Norwegian University of Science and Technology, NTNU, Trondheim 7491, Norway.
Norwegian University of Science and Technology · NOSt Olav's University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding microbial communities' roles in human health and disease requires methods that accurately characterize the microbial composition and their activity and effects within human biological samples. We present sMETASeq (small RNA Metagenomics by Sequencing), a novel method that uses sequencing of small RNAs to jointly measure host small RNA expression and create metagenomic profiles and detect small bacterial RNAs. We evaluated the performance of sMETASeq on a mock bacterial community and demonstrated its use on different human samples, including colon cancer, oral leukoplakia, cervix cancer, and a panel of human biofluids. In all datasets, the detected microbes reflected the biology of the different sample types.

Indexed as

BioinformaticsGenomicsMicrobiology

Identifiers

PMID32422595
PMCPMC7229328
OpenAlexW3020937895

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.