Evidence map›Paper›PMID 34369102›Full record

ArticleAdvanced healthcare materials2021

Plasmonically Enhanced CRISPR/Cas13a-Based Bioassay for Amplification-Free Detection of Cancer-Associated RNA.

Lin Liu, Zheyu Wang, Yixuan Wang, Jingyi Luan, Jeremiah J Morrissey, Rajesh R Naik, Srikanth Singamaneni

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. High-Performance Detection ofFoods (Basel, Switzerland) · 2024
    Article
  4. Article
  5. Article
  6. Review
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.

Lin LiuDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St Louis, MO, 63130, USA.
Zheyu WangDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St Louis, MO, 63130, USA.
Yixuan WangDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St Louis, MO, 63130, USA.
Jingyi LuanDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St Louis, MO, 63130, USA.
Jeremiah J MorrisseyDepartment of Anesthesiology, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Rajesh R Naik711th Human Performance Wing, Air Force Research Laboratory, Wright Patterson Air Force Base, Dayton, OH, 45433, USA.
Srikanth SingamaneniDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St Louis, MO, 63130, USA.ORCID 0000-0002-7203-2613

Funding

URINARY BIOMARKERS OF RENAL CELL CARCINOMASR01CA141521 · NCI · WASHINGTON UNIVERSITY · PI MORRISSEY, JEREMIAH J · 2011 to 2019
$2.6M
DEVELOPMENT OF A WIRELESS BIOSENSOR TO TRACK BONE RESORPTION IN PERIODONTITISR01DE027098 · NIDCR · WASHINGTON UNIVERSITY · PI CHAKRABARTTY, SHANTANU, SCHELLER, ERICA LYNN · 2017 to 2020
$1.4M
METAL-ORGANIC FRAMEWORK AS PROTECTIVE COATING FOR CANCER BIOSPECIMEN PRESERVATIONR21CA236652 · NCI · WASHINGTON UNIVERSITY · PI MORRISSEY, JEREMIAH J, SINGAMANENI, SRIKANTH · 2019 to 2021
$705k
NCI NIH HHS R01 CA141521NCI NIH HHS R21 CA236652NIDCR NIH HHS R01 DE027098
6 · The paper itself

Abstract

Novel methods that enable sensitive, accurate and rapid detection of RNA would not only benefit fundamental biological studies but also serve as diagnostic tools for various pathological conditions, including bacterial and viral infections and cancer. Although highly sensitive, existing methods for RNA detection involve long turn-around time and extensive capital equipment. Here, an ultrasensitive and amplification-free RNA quantification method is demonstrated by integrating CRISPR-Cas13a system with an ultrabright fluorescent nanolabel, plasmonic fluor. This plasmonically enhanced CRISPR-powered assay exhibits nearly 1000-fold lower limit-of-detection compared to conventional assay relying on enzymatic reporters. Using a xenograft tumor mouse model, it is demonstrated that this novel bioassay can be used for ultrasensitive and quantitative monitoring of cancer biomarker (lncRNA H19). The novel biodetection approach described here provides a rapid, ultrasensitive, and amplification-free strategy that can be broadly employed for detection of various RNA biomarkers, even in resource-limited settings.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsNeoplasmsAnimalsBiological AssayBiomarkers, TumorMiceRNABiomarkers, TumorRNACRISPR-Cas13agold nanorodsnanolabelsplasmon-enhanced fluorescenceRNA detection

Identifiers

PMID34369102
PMCPMC8542602

What OpenQuestion holds

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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.