Evidence map›Paper›PMID 33742035›Full record

ArticleScientific reports2021

Highly sensitive and multiplexed one-step RT-qPCR for profiling genes involved in the circadian rhythm using microparticles.

Mi Yeon Kim, Seungwon Jung, Junsun Kim, Heon Jeong Lee, Seunghwa Jeong, Sang Jun Sim, Sang Kyung Kim

Abstract read
In one paragraph

Article in Scientific reports, 2021. 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
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Mi Yeon KimCenter for Molecular Recognition Research, Materials and Life Science Research Division, Korea Institute of Science and Technology(KIST), Seoul, KS013, Korea.
Seungwon JungCenter for Molecular Recognition Research, Materials and Life Science Research Division, Korea Institute of Science and Technology(KIST), Seoul, KS013, Korea.
Junsun KimCenter for Molecular Recognition Research, Materials and Life Science Research Division, Korea Institute of Science and Technology(KIST), Seoul, KS013, Korea.
Heon Jeong LeeDepartment of Psychiatry and Chronobiology Institute, Korea University College of Medicine, Seoul, KS013, Korea.
Seunghwa JeongDepartment of Psychiatry and Chronobiology Institute, Korea University College of Medicine, Seoul, KS013, Korea.
Sang Jun SimDepartment of Chemical Biological Engineering, Korea University, Seoul, KS013, Korea.
Sang Kyung KimCenter for Molecular Recognition Research, Materials and Life Science Research Division, Korea Institute of Science and Technology(KIST), Seoul, KS013, Korea. sangk@kist.re.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the growing interest in molecular diagnosis, highly extensive and selective detection of genetic targets from a very limited amount of samples is in high demand. We demonstrated the highly sensitive and multiplexed one-step RT-qPCR platform for RNA analysis using microparticles as individual reactors. Those particles are equipped with a controlled release system of thermo-responsive materials, and are able to capture RNA targets inside. The particle-based assay can successfully quantify multiple target RNAs from only 200 pg of total RNA. The assay can also quantify target RNAs from a single cell with the aid of a pre-concentration process. We carried out 8-plex one-step RT-qPCR using tens of microparticles, which allowed extensive mRNA profiling. The circadian cycles were shown by the multiplex one-step RT-qPCR in human cell and human hair follicles. Reliable 24-plex one-step RT-qPCR was developed using a single operation in a PCR chip without any loss of performance (i.e., selectivity and sensitivity), even from a single hair. Many other disease-related transcripts can be monitored using this versatile platform. It can also be used non-invasively for samples obtained in clinics.

Indexed as

Circadian RhythmGene Expression ProfilingHeLa CellsHumansReal-Time Polymerase Chain ReactionSensitivity and Specificity

Identifiers

PMID33742035
PMCPMC7979730

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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.