Evidence map›Paper›PMID 31225449›Full record

ArticleCell stress2018

Base editors: a powerful tool for generating animal models of human diseases.

Zongyang Lu, Xingxu Huang

Open access · goldAbstract readComment
In one paragraph

Article in Cell stress, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

2 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Zongyang LuSchool of Life Science and Technology, ShanghaiTech University, 100 Haike Rd., Pudong New Area, Shanghai 201210, China.
Xingxu HuangSchool of Life Science and Technology, ShanghaiTech University, 100 Haike Rd., Pudong New Area, Shanghai 201210, China.
ShanghaiTech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myriads of genetic mutations, including base substitutions, deletions, and insertions as well as chromosome structural variations, have been detected in many human diseases. Although current combination of genomics and bioinformatics has contributed greatly to understanding the genetics of these disorders, it remains challenging to ensure the causal functions of each mutation, and then to further investigate the underlying mechanism and to develop therapeutic strategies. Animal models generated by genome engineering are the key to address these issues. In this review, we will first revisit the limitation of conventional gene editing tools and mouse models generated in the past. We will then introduce a novel tool, base editors (BEs), which present a new promising approach to establish pathogenically relevant animal models. Finally, we will discuss the application of BEs in non-human primates and share our perspectives on future development of base-editing techniques.

Indexed as

base editorsdisease modelsgenome engineeringmicenon-human primates

Identifiers

PMID31225449
PMCPMC6551640
OpenAlexW2894408415

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.