Evidence map›Paper›PMID 35208779›Full record

ArticleMicroorganisms2022

A qRT-PCR Method Capable of Quantifying Specific Microorganisms Compared to NGS-Based Metagenome Profiling Data.

Jinuk Jeong, Seyoung Mun, Yunseok Oh, Chun-Sung Cho, Kyeongeui Yun, Yongju Ahn, Won-Hyong Chung, Mi Young Lim, Kyung Eun Lee, Tae Soon Hwang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  5. Microorganisms · 2024
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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

11 authors at 4 institutions in 1 country.

Jinuk JeongDepartment of Bioconvergence Engineering, Dankook University, Yongin 16890, Korea.
Seyoung MunDepartment of Nanobiomedical Science, Dankook University, Cheonan 31116, Korea.
Yunseok OhDepartment of Bioconvergence Engineering, Dankook University, Yongin 16890, Korea.
Chun-Sung ChoDepartment of Neurosurgery, College of Medicine, Dankook University, Cheonan 31116, Korea.
Kyeongeui YunHuNBiome Co., Ltd., Seoul 08507, Korea.
Yongju AhnHuNBiome Co., Ltd., Seoul 08507, Korea.
Won-Hyong ChungResearch Group of Healthcare, Korea Food Research Institute, Wanju 55365, Korea.
Mi Young LimResearch Group of Healthcare, Korea Food Research Institute, Wanju 55365, Korea.
Kyung Eun LeeDepartment of Oral Medicine, School of Dentistry, Jeonbuk National University, Jeonju 54896, Korea.
Tae Soon HwangTheragen Bio Co., Ltd., Seongnam-si 13488, Korea.
Kyudong HanDepartment of Bioconvergence Engineering, Dankook University, Yongin 16890, Korea.ORCID 0000-0001-6791-2408
Dankook University · KRKorea Food Research Institute · KRJeonbuk National University · KRTheragen · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metagenome profiling research using next-generation sequencing (NGS), a technique widely used to analyze the diversity and composition of microorganisms living in the human body, especially the gastrointestinal tract, has been actively conducted, and there is a growing interest in the quantitative and diagnostic technology for specific microorganisms. According to recent trends, quantitative real-time PCR (qRT-PCR) is still a considerable technique in detecting and quantifying bacteria associated with the human oral and nasal cavities, due to the analytical cost and time burden of NGS technology. Here, based on NGS metagenome profiling data produced by utilizing 100 gut microbiota samples, we conducted a comparative analysis for the identification and quantification of five bacterial genera (

Indexed as

metagenomemicrobial diagnosisnext-generation sequencingquantitative real-time PCR

Identifiers

PMID35208779
PMCPMC8875016
OpenAlexW4210793304

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.