Evidence map›Paper›PMID 30544945›Full record

ReviewPharmaceutics2018

Overview of DNA Self-Assembling: Progresses in Biomedical Applications.

Andreia F Jorge, Ramon Eritja

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Development, Preparation, and Biomedical Applications of DNA-Based Hydrogels.Frontiers in bioengineering and biotechnology · 2021
    Review
  6. Review
  7. Review
  8. A Winning New Combination? Toward Clinical Application in Oncology.Cancer control : journal of the Moffitt Cancer Center
    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

2 authors.

Andreia F JorgeCoimbra Chemistry Centre (CQC), Department of Chemistry, University of Coimbra, Rua Larga, 3004-535 Coimbra, Portugal. andreiaj@qui.uc.pt.
Ramon EritjaInstitute for Advanced Chemistry of Catalonia (IQAC-CSIC), Networking Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Jordi Girona 18-26, E-08034 Barcelona, Spain. recgma@cid.csic.es.ORCID 0000-0001-5383-9334

Funding

Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina CB06_01_0019Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya 2017/SGR/114Fundação para a Ciência e a Tecnologia 007630 UID/QUI/00313/2013Fundação para a Ciência e a Tecnologia SFRH/BPD/104544/2014Ministerio de Economía y Competitividad CTQ2017-84415-R
6 · The paper itself

Abstract

Molecular self-assembling is ubiquitous in nature providing structural and functional machinery for the cells. In recent decades, material science has been inspired by the nature's assembly principles to create artificially higher-order structures customized with therapeutic and targeting molecules, organic and inorganic fluorescent probes that have opened new perspectives for biomedical applications. Among these novel man-made materials, DNA nanostructures hold great promise for the modular assembly of biocompatible molecules at the nanoscale of multiple shapes and sizes, designed via molecular programming languages. Herein, we summarize the recent advances made in the designing of DNA nanostructures with special emphasis on their application in biomedical research as imaging and diagnostic platforms, drug, gene, and protein vehicles, as well as theranostic agents that are meant to operate in-cell and in-vivo.

Indexed as

DNA self-assemblingdrug deliverygene deliverynanomedicineprotein deliverytheranostics

Identifiers

PMID30544945
PMCPMC6320858

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.