Evidence map›Paper›PMID 32210731›Full record

ReviewInternational journal of biological sciences2020

Engineering Cellular Signal Sensors based on CRISPR-sgRNA Reconstruction Approaches.

Hengji Zhan, Lulu Xiao, Aolin Li, Lin Yao, Zhiming Cai, Yuchen Liu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Hengji ZhanKey Laboratory of Medical Reprogramming Technology, Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen University School of Medicine, Shenzhen 518035, China.
Lulu XiaoKey Laboratory of Medical Reprogramming Technology, Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen University School of Medicine, Shenzhen 518035, China.
Aolin LiKey Laboratory of Medical Reprogramming Technology, Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen University School of Medicine, Shenzhen 518035, China.
Lin YaoDepartment of Urology, Peking University First Hospital, Institute of Urology, Peking University, National Urological Cancer Center, Beijing 100034, China.
Zhiming CaiKey Laboratory of Medical Reprogramming Technology, Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen University School of Medicine, Shenzhen 518035, China.
Yuchen LiuKey Laboratory of Medical Reprogramming Technology, Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen University School of Medicine, Shenzhen 518035, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of the CRISPR systems has enriched the application of gene therapy and biotechnology. As a type of robust and simple toolbox, the CRISPR system has greatly promoted the development of cellular signal sensors at the genomic level. Although CRISPR systems have demonstrated that they can be used in eukaryotic and even mammalian cells after extraction from prokaryotic cells, controlling their gene-editing activity remains a challenge. Here we summarize the advantages and disadvantages of building a CRIRPR-based signal sensor through sgRNA reconstruction, as well as possible ways to reprogram the signal network of cells. We also propose how to further improve the design of the current signal sensors based on sgRNA-riboswitch. We believe that the development of these technologies and the construction of platforms can further promote the development of environment detection, disease diagnosis, and gene therapy by means of synthetic biology.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsGene EditingAnimalsCell LineCell Line, TumorGene Regulatory NetworksGenetic TherapyGenetic VectorsGenomeHumansLightMiceRiboswitchRNA, Guide, CRISPR-Cas SystemsSignal TransductionSynthetic BiologyRiboswitchRNA, Guide, CRISPR-Cas SystemsCRISPRriboswitchsgRNAsignal sensorsynthetic biology

Identifiers

PMID32210731
PMCPMC7085220

What OpenQuestion holds

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LicenceCC BY
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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.