Evidence map›Paper›PMID 37970034›Full record

ArticleACS omega2023

LC-MS-Based Direct Quantification of MicroRNAs in Rat Blood.

Hyun-Deok Cho, Jung Eun Min, Myeongjin Choi, Seo Yule Jeong, Kyoung-Sik Moon, Jong-Hwa Lee, Han Young Eom

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

7 authors at 1 institution in 1 country.

Hyun-Deok ChoDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.
Jung Eun MinDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.
Myeongjin ChoiDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.
Seo Yule JeongDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.
Kyoung-Sik MoonDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.
Jong-Hwa LeeDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.ORCID https://orcid.org/0000-0002-5131-0514
Han Young EomDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.ORCID https://orcid.org/0000-0002-7250-1926
Korea Institute of Toxicology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNA (miRNA) has recently garnered significant research attention, owing to its potential as a diagnostic biomarker and therapeutic target. Liquid chromatography-mass spectrometry (LC-MS) offers accurate quantification, multiplexing capacity, and high compatibility with various matrices. These advantages establish it as a preferred technique for detecting miRNA in biological samples. In this study, we presented an LC-MS method for directly quantifying seven miRNAs (rno-miR-150, 146a, 21, 155, 223, 181a, and 125a) associated with immune and inflammatory responses in rat whole blood. To ensure miRNA stability in the samples and efficiently purify target analytes, we compared Trizol- and proteinase K-based extraction methods, and the Trizol extraction proved to be superior in terms of analytical sensitivity and convenience. Chromatographic separation was carried out using an oligonucleotide C18 column with a mobile phase composed of

Identifiers

PMID37970034
PMCPMC10634253
OpenAlexW4388261583

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.