Evidence map›Paper›PMID 34107297›Full record

ReviewCell chemical biology2021

Genome editor-directed in vivo library diversification.

Cristina Cheng, Mi Zhou, Qiwen Su, Alexandra Steigmeyer, Jia Niu

Abstract readReview
In one paragraph

Review in Cell chemical biology, 2021. 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. Article
  2. Review
  3. Article
  4. Review
  5. A Rapid Antibody Enhancement Platform inACS synthetic biology · 2023
    Article
  6. Review
  7. Review
  8. Engineering of efficiency-enhanced Cas9 and base editors with improved gene therapy efficacies.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    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

5 authors.

Cristina ChengDepartment of Chemistry, Boston College, Chestnut Hill, MA 02467, USA.
Mi ZhouDepartment of Chemistry, Boston College, Chestnut Hill, MA 02467, USA.
Qiwen SuDepartment of Chemistry, Boston College, Chestnut Hill, MA 02467, USA.
Alexandra SteigmeyerDepartment of Chemistry, Boston College, Chestnut Hill, MA 02467, USA.
Jia NiuDepartment of Chemistry, Boston College, Chestnut Hill, MA 02467, USA. Electronic address: jia.niu@bc.edu.

Funding

Development of Compact CRISPR Editors for Multiplexed Editing of Complex Gene NetworksDP2HG011027 · NHGRI · BOSTON COLLEGE · PI NIU, JIA · 2019 to 2020
$2.5M
NHGRI NIH HHS DP2 HG011027
6 · The paper itself

Abstract

The generation of a library of variant genes is a prerequisite of directed evolution, a powerful tool for biomolecular engineering. As the number of all possible sequences often far exceeds the diversity of a practical library, methods that allow efficient library diversification in living cells are essential for in vivo directed evolution technologies to effectively sample the sequence space and allow hits to emerge. While traditional whole-genome mutagenesis often results in toxicity and the emergence of "cheater" mutations, recent developments that exploit the targeting and editing abilities of genome editors to facilitate in vivo library diversification have allowed for precise mutagenesis focused on specific genes of interest, higher mutational density, and reduced the occurrence of cheater mutations. This minireview summarizes recent advances in genome editor-directed in vivo library diversification and provides an outlook on their future applications in chemical biology.

Indexed as

Directed Molecular EvolutionGene EditingGene Librarybase editingCRISPRdirected evolutionerror-prone polymerasegenome editingin vivo library diversificationrecombinasetargeted mutagenesistransposase

Identifiers

PMID34107297
PMCPMC8380701

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.