Evidence map›Paper›PMID 40720021›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Guide to Selection of Muscle-Homing Peptides After in Vivo Phage Display Biopanning.

Anne-Fleur Schneider, Silvana Jirka, Leon Mei, Annemieke Aartsma-Rus

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Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Phage Display as a Promising Platform for Peptide Drug Discovery.Pharmaceuticals (Basel, Switzerland) · 2026
    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

4 authors.

Anne-Fleur SchneiderHuman Genetics Department, Leiden University Medical Center, Leiden, Netherlands.
Silvana JirkaHuman Genetics Department, Leiden University Medical Center, Leiden, Netherlands.
Leon MeiBiomedical Data Sciences Department, Leiden University Medical Center, Leiden, Netherlands.
Annemieke Aartsma-RusHuman Genetics Department, Leiden University Medical Center, Leiden, Netherlands. a.m.aartsma-rus@lumc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug delivery is a hurdle that has to be overcome every time a new therapeutic approach is devised or tested in a new tissue. Identifying peptides for conjugation to the therapeutic compound to improve delivery to the target tissue or cells could help improve therapy efficacy. We make use of phage display biopanning in two mouse models for Duchenne muscular dystrophy (DMD) to find muscle homing peptides to advance therapeutic uptake of antisense oligonucleotides (AON). AONs are pieces of short, modified RNA that can restore the distorted reading frame of dystrophin that is causing DMD. Uptake of these AONs into muscle tissues is currently suboptimal. Following in vivo phage display biopanning, we made use of next-generation sequencing to ensure that our analysis could be carried out as unbiased as possible. A selection strategy was devised to screen for muscle homing peptides, resulting in a list of potential muscle homing peptides that can be tested further to check for improved delivery. In this chapter, we describe the protocols that were carried out and point out notable steps to consider when executing this method.

Indexed as

Cell Surface Display TechniquesMuscle, SkeletalMuscular Dystrophy, DuchennePeptide LibraryAnimalsDisease Models, AnimalDystrophinHigh-Throughput Nucleotide SequencingMiceMice, Inbred C57BLMice, Inbred mdxOligonucleotides, AntisensePeptidesDystrophinOligonucleotides, AntisensePeptide LibraryPeptidesDrug deliveryIn vivo phage display biopanningMuscle homing peptideNext-generation sequencing

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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.