Evidence map›Paper›PMID 36613839›Full record

ReviewInternational journal of molecular sciences2022

Building Blocks of Artificial CRISPR-Based Systems beyond Nucleases.

Andrey A Kuzmin, Alexey N Tomilin

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Investigation of Genome Biology by Synthetic Genome Engineering.Bioengineering (Basel, Switzerland) · 2023
    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.

Andrey A KuzminInstitute of Cytology, Russian Academy of Sciences, Tikhoretsky Ave. 4, 194064 St-Petersburg, Russia.
Alexey N TomilinInstitute of Cytology, Russian Academy of Sciences, Tikhoretsky Ave. 4, 194064 St-Petersburg, Russia.ORCID 0000-0002-1137-7167

Funding

Ministry of Science and Higher Education of the Russian Federation grant agreement No. 075-15-2020-773
6 · The paper itself

Abstract

Tools developed in the fields of genome engineering, precise gene regulation, and synthetic gene networks have an increasing number of applications. When shared with the scientific community, these tools can be used to further unlock the potential of precision medicine and tissue engineering. A large number of different genetic elements, as well as modifications, have been used to create many different systems and to validate some technical concepts. New studies have tended to optimize or improve existing elements or approaches to create complex synthetic systems, especially those based on the relatively new CRISPR technology. In order to maximize the output of newly developed approaches and to move from proof-of-principle experiments to applications in regenerative medicine, it is important to navigate efficiently through the vast number of genetic elements to choose those most suitable for specific needs. In this review, we have collected information regarding the main genetic elements and their modifications, which can be useful in different synthetic systems with an emphasis of those based on CRISPR technology. We have indicated the most suitable elements and approaches to choose or combine in planning experiments, while providing their deeper understanding, and have also stated some pitfalls that should be avoided.

Indexed as

CRISPR-Cas SystemsGenetic EngineeringGene EditingGene Regulatory NetworksGenomeTissue EngineeringCRISPRgenome engineeringgRNA modificationsmultiplexingsynthetic biologytranscription

Identifiers

PMID36613839
PMCPMC9820447

What Socratic 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 Socratic graph.