Evidence map›Paper›PMID 37460561›Full record

ArticleNature communications2023

Multiplexed RNA profiling by regenerative catalysis enables blood-based subtyping of brain tumors.

Yan Zhang, Chi Yan Wong, Carine Z J Lim, Qingchang Chen, Zhonglang Yu, Auginia Natalia, Zhigang Wang, Qing You Pang, See Wee Lim, Tze Ping Loh and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
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

17 citing papers in PubMed, 37 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Yan Zhang *Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore.
Chi Yan Wong *Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-8624-8899
Carine Z J Lim *Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore.
Qingchang ChenInstitute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore.
Zhonglang YuInstitute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore.ORCID 0009-0006-7636-0645
Auginia NataliaInstitute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-7487-6759
Zhigang WangInstitute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore.
Qing You PangNeuro-Oncology Research Laboratory, Department of Research, National Neuroscience Institute, Singapore, Singapore.
See Wee LimNeuro-Oncology Research Laboratory, Department of Research, National Neuroscience Institute, Singapore, Singapore.
Tze Ping LohInstitute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore.
Beng Ti AngDepartment of Neurosurgery, National Neuroscience Institute, Singapore, Singapore.
Carol TangNeuro-Oncology Research Laboratory, Department of Research, National Neuroscience Institute, Singapore, Singapore.ORCID 0000-0002-1835-5083
Huilin ShaoInstitute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore. huilin.shao@nus.edu.sg.ORCID 0000-0003-4513-1410
National University of Singapore · SGNational Neuroscience Institute · SGAgency for Science, Technology and Research · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current technologies to subtype glioblastoma (GBM), the most lethal brain tumor, require highly invasive brain biopsies. Here, we develop a dedicated analytical platform to achieve direct and multiplexed profiling of circulating RNAs in extracellular vesicles for blood-based GBM characterization. The technology, termed 'enzyme ZIF-8 complexes for regenerative and catalytic digital detection of RNA' (EZ-READ), leverages an RNA-responsive transducer to regeneratively convert and catalytically enhance signals from rare RNA targets. Each transducer comprises hybrid complexes - protein enzymes encapsulated within metal organic frameworks - to configure strong catalytic activity and robust protection. Upon target RNA hybridization, the transducer activates directly to liberate catalytic complexes, in a target-recyclable manner; when partitioned within a microfluidic device, these complexes can individually catalyze strong chemifluorescence reactions for digital RNA quantification. The EZ-READ platform thus enables programmable and reliable RNA detection, across different-sized RNA subtypes (miRNA and mRNA), directly in sample lysates. When clinically evaluated, the EZ-READ platform established composite signatures for accurate blood-based GBM diagnosis and subtyping.

Indexed as

Brain NeoplasmsGlioblastomaMicroRNAsHumansNucleic Acid HybridizationRNA, MessengerMicroRNAsRNA, Messenger

Identifiers

PMID37460561
PMCPMC10352249
OpenAlexW4384499566

What OpenQuestion holds

Textmetadata
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.