Evidence map›Paper›PMID 34764246›Full record

ArticleNature communications2021

A general theoretical framework to design base editors with reduced bystander effects.

Qian Wang, Jie Yang, Zhicheng Zhong, Jeffrey A Vanegas, Xue Gao, Anatoly B Kolomeisky

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Recent advances in therapeutic gene-editing technologies.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Dynamics of single-base editing: Theoretical analysis.The Journal of chemical physics · 2023
    Article
  14. Review
  15. Review
  16. Review
  17. 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

6 authors at 3 institutions in 2 countries.

Qian Wang *Hefei National Laboratory for Physical Sciences at the Microscale and Department of Physics, University of Science and Technology of China, Hefei, 230026, Anhui, China. wqq@ustc.edu.cn.ORCID 0000-0002-9908-4317
Jie Yang *Department of Chemical and Biomolecular Engineering, Rice University, Houston, TX, 77005, USA.ORCID 0000-0003-4399-2532
Zhicheng ZhongHefei National Laboratory for Physical Sciences at the Microscale and Department of Physics, University of Science and Technology of China, Hefei, 230026, Anhui, China.
Jeffrey A VanegasDepartment of Chemical and Biomolecular Engineering, Rice University, Houston, TX, 77005, USA.ORCID 0000-0003-3170-2980
Xue GaoDepartment of Chemical and Biomolecular Engineering, Rice University, Houston, TX, 77005, USA. xue.gao@rice.edu.ORCID 0000-0003-3213-9704
Anatoly B KolomeiskyCenter for Theoretical Biological Physics, Rice University, Houston, TX, 77005, USA. tolya@rice.edu.ORCID 0000-0001-5677-6690
Rice University · USUniversity of Science and Technology of China · CNCenter for Theoretical Biological Physics · US

Funding

Develop High-Precision and Multiplex Base Editing Approaches for Therapeutic ApplicationsR01HL157714 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GAO, XUE · 2021 to 2024
$2.0M
NHLBI NIH HHS R01 HL157714
6 · The paper itself

Abstract

Base editors (BEs) hold great potential for medical applications of gene therapy. However, high precision base editing requires BEs that can discriminate between the target base and multiple bystander bases within a narrow active window (4 - 10 nucleotides). Here, to assist in the design of these optimized editors, we propose a discrete-state stochastic approach to build an analytical model that explicitly evaluates the probabilities of editing the target base and bystanders. Combined with all-atom molecular dynamic simulations, our model reproduces the experimental data of A3A-BE3 and its variants for targeting the "TC" motif and bystander editing. Analyzing this approach, we propose several general principles that can guide the design of BEs with a reduced bystander effect. These principles are then applied to design a series of point mutations at T218 position of A3G-BEs to further reduce its bystander editing. We verify experimentally that the new mutations provide different levels of stringency on reducing the bystander editing at different genomic loci, which is consistent with our theoretical model. Thus, our study provides a computational-aided platform to assist in the scientifically-based design of BEs with reduced bystander effects.

Indexed as

Gene EditingBystander EffectGenetic TherapyHumans

Identifiers

PMID34764246
PMCPMC8586357
OpenAlexW3130366371

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.