Evidence map›Paper›PMID 37998143›Full record

ArticleBiosensors2023

The Amplified DNA Logic Gates Based on Aptamer-Receptor Recognition for Cell Detection and Bioimaging.

Yajing Wang, Di Wu, Xiuping Cao, Yingshu Guo

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

4 authors at 2 institutions in 1 country.

Yajing WangSchool of Chemistry and Chemical Engineering, Linyi University, Linyi 276000, China.
Di WuSchool of Chemistry and Chemical Engineering, Linyi University, Linyi 276000, China.
Xiuping CaoSchool of Chemistry and Chemical Engineering, Linyi University, Linyi 276000, China.
Yingshu GuoSchool of Chemistry and Chemical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.
Linyi University · CNShandong Academy of Sciences · CN

Funding

National Natural Science Foundation of China 22276102Shandong Provincial Natural Science Foundation ZR2023JQ004, ZR2022MB024the Science, Education and Industry Integration Pilot Project Plan of Qilu University of Tech-nology (Shandong Academy of Sciences) 2023PYI002, 2022PT114University Institute Innovation Team of Jinan 202228027Young Taishan Scholar Program of Shandong Province of China tsqn202211212
6 · The paper itself

Abstract

A powerful and accurate method for identifying and isolating cells would be of great importance due to its sensitivity, gentleness and effectiveness. Here, we designed a receptor-based DNA logic device that allows Boolean logic analysis of multiple cells. For ease of expression, the molecules on the cell surface that can bind to the aptamer are referred to as "receptors". This DNA logic device sends signals based on cell surface sgc8c and sgc4f receptor expression by performing NOT, NOR, AND and OR logic operations, and amplifies and evaluates the signals using HCR. Meanwhile, the release of ICG from the endopore of HMSNs is controlled by affecting structural changes in the DNA logic device. This approach can accurately identify and treat multiple cells on demand based on the presence or absence of cell-specific receptors, facilitating the development of personalized medicine.

Indexed as

DNAOligonucleotidesCell MembraneLogicDNAOligonucleotidesbioimagingcell receptorlogic operationmulti-cell analysissignal amplification

Identifiers

PMID37998143
PMCPMC10669702
OpenAlexW4388415705

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.