Evidence map›Paper›PMID 39558099›Full record

ReviewNature methods2025

Nanopore approaches for single-molecule temporal omics: promises and challenges.

Meng-Yin Li, Jie Jiang, Jun-Ge Li, Hongyan Niu, Yi-Lun Ying, Ruijun Tian, Yi-Tao Long

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  11. Proteoforms as the true units of physiological function.European journal of applied physiology · 2026
    Review
  12. Article
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  14. Nanopore-Based Detection of Protein Posttranslational Modifications.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  15. Review
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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

7 authors.

Meng-Yin Li *State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China. mengyinli@nju.edu.cn.ORCID http://orcid.org/0000-0002-0347-4194
Jie Jiang *State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China.ORCID http://orcid.org/0000-0002-4894-5973
Jun-Ge LiState Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China.
Hongyan NiuState Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China.
Yi-Lun YingState Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China.
Ruijun TianDepartment of Chemistry, School of Science, Southern University of Science and Technology, Shenzhen, China.
Yi-Tao LongState Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China. yitaolong@nju.edu.cn.ORCID http://orcid.org/0000-0003-2571-7457

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22027806National Natural Science Foundation of China (National Science Foundation of China) 22304077National Natural Science Foundation of China (National Science Foundation of China) 22334006
6 · The paper itself

Abstract

The great molecular heterogeneity within single cells demands omics analysis from a single-molecule perspective. Moreover, considering the perpetual metabolism and communication within cells, it is essential to determine the time-series changes of the molecular library, rather than obtaining data at only one time point. Thus, there is an urgent need to develop a single-molecule strategy for this omics analysis to elucidate the biosystem heterogeneity and temporal dynamics. In this Perspective, we explore the potential application of nanopores for single-molecule temporal omics to characterize individual molecules beyond mass, in both a single-molecule and high-throughput manner. Accordingly, recent advances in nanopores available for single-molecule temporal omics are reviewed from the view of single-molecule mass identification, revealing single-molecule heterogeneity and illustrating temporal evolution. Furthermore, we discuss the primary challenges associated with using nanopores for single-molecule temporal omics in complex biological samples, and present the potential strategies and notes to respond to these challenges.

Indexed as

GenomicsNanoporesNanotechnologyProteomicsSingle Molecule ImagingAnimalsHumansSingle-Cell Analysis

Identifiers

What OpenQuestion holds

Textmetadata
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.