Evidence map›Paper›PMID 42652212›Full record

ReviewBiomedicines2026

Exploring the Evolutionary Landscape with Targeted In Vivo Hypermutations.

Thandava Vanapilli Nursimulu, Maryam Ali, Jumi A Shin

Abstract readReview
In one paragraph

Review in Biomedicines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Thandava Vanapilli NursimuluDepartment of Chemistry, University of Toronto, 3359 Mississauga Road, Mississauga, ON L5L 1C6, Canada.ORCID 0009-0009-4402-3531
Maryam AliDepartment of Chemistry, University of Toronto, 3359 Mississauga Road, Mississauga, ON L5L 1C6, Canada.ORCID 0009-0007-1519-1670
Jumi A ShinDepartment of Chemistry, University of Toronto, 3359 Mississauga Road, Mississauga, ON L5L 1C6, Canada.ORCID 0000-0001-9939-2072

Funding

Cancer Research Society Operating Grant 1050460Natural Sciences and Engineering Research Council of Canada Discovery Grant 04846
6 · The paper itself

Abstract

Directed evolution has revolutionized protein engineering by applying the principles of natural selection to the laboratory. However, traditional in vitro methods are quite labor-intensive, while common in vivo methods suffer from low mutation rates and high rates of off-target mutations. To address these issues, researchers have developed targeted mutagenesis tools for rapid in vivo evolution of biomolecules. In this review, we discuss recent in vivo hypermutation tools that enable rapid sampling of the vast evolutionary landscape, all while supporting simultaneous selection of the best proteins within living organisms. We focus on three main mechanisms of hypermutation: (i) orthogonal replication, which uses error-prone replication machinery to replicate the target gene with low fidelity; (ii) CRISPR-Cas-guided mutators, where mutagenic proteins are localized to virtually any user-defined loci; and (iii) transcription-coupled mutagenesis, a simple, yet elegant tool that exploits the innate processivity of orthogonal ribonucleic acid (RNA) polymerases to guide mutagenic proteins along the target gene during transcription. We highlight key advantages of these systems, as well as some clinically- and biotechnology-relevant applications. We discuss important limitations and how they could be addressed in the future to make hypermutation tools with broad mutational spectra and windows that span entire genes with minimal off-target effects.

Indexed as

continuous evolutionCRISPR-Casdirected evolutionin vivo hypermutationMutaT7orthogonal replicationphage-assisted evolutiontargeted mutagenesis

Identifiers

PMID42652212
PMCPMC13510055

What OpenQuestion holds

Textmetadata
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.