Evidence map›Paper›PMID 36819021›Full record

ReviewFrontiers in microbiology2023

Portable nanopore-sequencing technology: Trends in development and applications.

Pin Chen, Zepeng Sun, Jiawei Wang, Xinlong Liu, Yun Bai, Jiang Chen, Anna Liu, Feng Qiao, Yang Chen, Chenyan Yuan and 4 more

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

33 citing papers in PubMed.

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  19. Graphite-Based Bio-Mimetic Nanopores for Protein Sequencing and Beyond.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  20. 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

14 authors.

Pin ChenKey Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China.
Zepeng SunChina Mobile (Chengdu) Industrial Research Institute, Chengdu, China.
Jiawei WangSchool of Computer Science and Technology, Southeast University, Nanjing, China.
Xinlong LiuChina Mobile (Chengdu) Industrial Research Institute, Chengdu, China.
Yun BaiKey Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China.
Jiang ChenKey Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China.
Anna LiuKey Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China.
Feng QiaoChina Mobile (Chengdu) Industrial Research Institute, Chengdu, China.
Yang ChenKey Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China.
Chenyan YuanClinical Laboratory, Southeast University Zhongda Hospital, Nanjing, China.
Jingjie ShaSchool of Mechanical Engineering, Southeast University, Nanjing, China.
Jinghui ZhangSchool of Computer Science and Technology, Southeast University, Nanjing, China.
Li-Qun XuChina Mobile (Chengdu) Industrial Research Institute, Chengdu, China.
Jian LiKey Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequencing technology is the most commonly used technology in molecular biology research and an essential pillar for the development and applications of molecular biology. Since 1977, when the first generation of sequencing technology opened the door to interpreting the genetic code, sequencing technology has been developing for three generations. It has applications in all aspects of life and scientific research, such as disease diagnosis, drug target discovery, pathological research, species protection, and SARS-CoV-2 detection. However, the first- and second-generation sequencing technology relied on fluorescence detection systems and DNA polymerization enzyme systems, which increased the cost of sequencing technology and limited its scope of applications. The third-generation sequencing technology performs PCR-free and single-molecule sequencing, but it still depends on the fluorescence detection device. To break through these limitations, researchers have made arduous efforts to develop a new advanced portable sequencing technology represented by nanopore sequencing. Nanopore technology has the advantages of small size and convenient portability, independent of biochemical reagents, and direct reading using physical methods. This paper reviews the research and development process of nanopore sequencing technology (NST) from the laboratory to commercially viable tools; discusses the main types of nanopore sequencing technologies and their various applications in solving a wide range of real-world problems. In addition, the paper collates the analysis tools necessary for performing different processing tasks in nanopore sequencing. Finally, we highlight the challenges of NST and its future research and application directions.

Indexed as

applicationchallengedevelopmentportable nanopore-sequencing technologyprotein nanoporesolid-state nanopore

Identifiers

PMID36819021
PMCPMC9929578

What OpenQuestion holds

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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.