Evidence map›Paper›PMID 39738399›Full record

ArticleScientific reports2024

Identification of nine mammal monosaccharides by solid-state nanopores.

Yunze Sun, Zhuang Mi, Xiaoyu Chen, Jian-Jun Li, Jun Lu, Xinyan Shan, Xinghua Lu, Yuguang Du

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Yunze Sun *State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, China.
Zhuang Mi *University of Chinese Academy of Sciences, Beijing, 100049, China.
Xiaoyu ChenUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Jian-Jun LiState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, China. jjli@ipe.ac.cn.
Jun LuInstitute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.
Xinyan ShanUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Xinghua LuUniversity of Chinese Academy of Sciences, Beijing, 100049, China. xhlu@iphy.ac.cn.
Yuguang DuState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, China. ydgu@ipe.ac.cn.

Funding

National Natural Science Foundation of China 21877114National Natural Science Foundation of China 21961142021National Natural Science Foundation of China 92353304
6 · The paper itself

Abstract

Glycans, nucleic acids and proteins are three major classes of natural biopolymers. The extremely high diversity of isomerization makes structural elucidation of glycans the most challenging job among three classes. In the past few years, the single molecule sensing technique based on nanopores has achieved great success in sequencing of DNA. Inspired by this, it is potential to sequence glycans in the similar manner. Herein, SiN

Indexed as

MonosaccharidesNanoporesAnimalsMachine LearningMammalsPolysaccharidesMonosaccharidesPolysaccharidesHuman milk oligosaccharideMachine learningMonosaccharideSilicon nitrideSolid-state nanopore

Identifiers

PMID39738399
PMCPMC11686368

What OpenQuestion holds

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Registered trials

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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.