Evidence map›Paper›PMID 41691071›Full record

ArticleScientific reports2026

Lectin-based detection and expression profiling of native glycoRNAs.

Yong Li, Yisong Qian, Xiang Li, Tianhua Lei, Hillary McGraw, Paula Monaghan-Nichols, Mingui Fu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Yong LiDepartment of Biomedical Science, School of Medicine, University of Missouri Kansas City, Kansas City, MO, 64108, USA.
Yisong QianKey Lab for Arteriosclerology of Hunan Province, International Joint Laboratory for Arteriosclerotic Disease Research of Hunan Province, Institute of Cardiovascular Disease, University of South China, Hengyang, 421001, PR China.
Xiang LiDepartment of Biomedical Science, School of Medicine, University of Missouri Kansas City, Kansas City, MO, 64108, USA.
Tianhua LeiDepartment of Biomedical Science, School of Medicine, University of Missouri Kansas City, Kansas City, MO, 64108, USA.
Hillary McGrawDivision of Biological and Biomedical Systems, School of Science and Engineering, University of Missouri Kansas City, Kansas City, MO, 64110, USA.
Paula Monaghan-NicholsDepartment of Biomedical Science, School of Medicine, University of Missouri Kansas City, Kansas City, MO, 64108, USA.
Mingui FuDepartment of Biomedical Science, School of Medicine, University of Missouri Kansas City, Kansas City, MO, 64108, USA. fum@umkc.edu.

Funding

Ribonuclease-mediated control of sepsis-induced systemic inflammationR15AI138116 · NIAID · UNIVERSITY OF MISSOURI KANSAS CITY · PI FU, MINGUI · 2019 to 2019
$465k
Foundation for the National Institutes of Health AI138116NIAID NIH HHS R15 AI138116UMKC School of Medicine Bridge25
6 · The paper itself

Abstract

Current methods for detecting glycoRNAs include metabolic labeling in living cells or animals and RNA-optimized periodate oxidation and aldehyde labeling (rPAL), each of which offers distinct advantages and limitations. Here, we report a relatively simple and rapid approach for detecting native glycoRNAs using direct lectin hybridization. This method involves several straightforward steps, including total RNA isolation, northern blotting, and lectin hybridization. Its advantages include high sensitivity, procedural simplicity, and broad applicability. Using this approach, we profiled glycoRNA expressions in RNA samples derived from human and murine tissues and cell lines and compared the results with those obtained using two established detection methods. We also examined differences in glycoRNA expression under physiological and pathological conditions. Notably, we report for the first time the detection of free glycoRNAs in various human biofluids, including plasma, urine, and amniotic fluid. Overall, our findings demonstrate that this method is reliable and reproducible, providing an alternative tool for studying glycoRNA biology and potentially offering utility for future clinical diagnostics.

Indexed as

Gene Expression ProfilingLectinsAnimalsCell LineHumansMiceLectinsDetectionExpression profilingGlycoRNAsLectinrPAL

Identifiers

PMID41691071
PMCPMC12992907

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.