Evidence map›Paper›PMID 33096353›Full record

SynthesisBiomedicine & pharmacotherapy = Biomedecine & pharmacotherapie2020

Aptamers used for biosensors and targeted therapy.

Yi Ning, Jue Hu, Fangguo Lu

Abstract readSystematic Review
In one paragraph

Synthesis in Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Construction of FeJournal of fluorescence · 2026
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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

3 authors.

Yi NingDepartment of Microbiology, The Medicine School of Hunan University of Chinese Medicine, Changsha, Hunan, 410208, PR China.
Jue HuDepartment of Microbiology, The Medicine School of Hunan University of Chinese Medicine, Changsha, Hunan, 410208, PR China.
Fangguo LuDepartment of Microbiology, The Medicine School of Hunan University of Chinese Medicine, Changsha, Hunan, 410208, PR China. Electronic address: lufgny@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aptamers are single-stranded nucleic acid sequences that can bind to target molecules with high selectivity and affinity. Most aptamers are screened in vitro by a combinatorial biology technique called systematic evolution of ligands by exponential enrichment (SELEX). Since aptamers were discovered in the 1990s, they have attracted considerable attention and have been widely used in many fields owing to their unique advantages. In this review, we present an overview of the advancements made in aptamers used for biosensors and targeted therapy. For the former, we will discuss multiple aptamer-based biosensors with different principles detected by various signaling methods. For the latter, we will focus on aptamer-based targeted therapy using aptamers as both biotechnological tools for targeted drug delivery and as targeted therapeutic agents. Finally, challenges and new perspectives associated with these two regions were further discussed. We hope that this review will help researchers interested in aptamer-related biosensing and targeted therapy research.

Indexed as

Biosensing TechniquesDrug Delivery SystemsGene Transfer TechniquesSELEX Aptamer TechniqueAnimalsAntineoplastic AgentsAptamers, NucleotideBiomarkers, TumorDrug CarriersHumansNanoparticlesNeoplasmsPredictive Value of TestsRNAi TherapeuticsRNA, Small InterferingAntineoplastic AgentsAptamers, NucleotideBiomarkers, TumorDrug CarriersRNA, Small InterferingAptamerAptasensorNucleic acid therapeuticsSELEXTargeted drug delivery

Identifiers

PMID33096353
PMCPMC7574901

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.