Evidence map›Paper›PMID 41550732›Full record

ArticleiScience2026

Engineering T3 and T7 host range to target protein receptors and guide bacterial evolution.

Collins Ogari, Kevin Yehl

Abstract read
In one paragraph

Article in iScience, 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

2 authors.

Collins OgariDepartment of Chemistry and Biochemistry, Miami University, Oxford, OH, USA.
Kevin YehlDepartment of Chemistry and Biochemistry, Miami University, Oxford, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phage engineering holds significant potential for overcoming the challenges that limit phage therapy. A promising yet underutilized approach is engineering phage host range to target specific receptors and guiding bacterial evolution into a desirable trajectory, referred to as evolutionary steering. This requires balancing binding interactions between native and desired receptors, though it is unclear how balancing binding interactions affects host range and resulting evolutionary trajectories. To provide insights, we surveyed a suite of phage engineering methods to program protein-protein interactions between phage and bacteria and then measured host range expansion and evolutionary trajectories. We engineered T3 and T7, both LPS-targeting phages, to target a proteinaceous nanobody receptor. In addition, we discovered that the capsid plays a role in phage host range and can be a potential target for host range expansion. Together, these studies increase the therapeutic potential for T3 and T7, and more broadly for LPS-targeting phages.

Indexed as

Bact`eriologyMicrobial biotechnologyMicrobiology

Identifiers

PMID41550732
PMCPMC12804162

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.