Evidence map›Paper›PMID 41028309›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Automated Quantification of Dystrophin Expression by Immunofluorescence in Humans and Animal Models.

Tatyana A Vetter, Michael W Lawlor

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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.

Tatyana A VetterDiverge Translational Science Laboratory, Milwaukee, WI, USA. tvetter@divergetsl.com.
Michael W LawlorDiverge Translational Science Laboratory, Milwaukee, WI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging of dystrophin and related proteins using light microscopy is a key assay in neuromuscular pathology diagnostic and research laboratories. Immunofluorescence co-staining of dystrophin alongside markers like laminin or its glycoprotein binding partners allows for quantitative analysis of these markers in relation to each other, enabling the reporting of metrics like the percentage of dystrophin-positive fibers and dystrophin staining intensity at the sarcolemma. When designed carefully, automation of image analysis approaches allows for higher throughput, greater precision, and less bias than manual counting of muscle fibers. These automated approaches are especially valuable for rigorously and objectively testing the efficacy of potential therapeutic strategies in development for restoring dystrophin expression. This chapter presents a validated method, its modifications, and some alternatives for automated quantitative analysis of immunofluorescence images of dystrophin or other muscle markers co-stained with a sarcolemmal marker for muscle fiber detection.

Indexed as

DystrophinFluorescent Antibody TechniqueImage Processing, Computer-AssistedAnimalsBiomarkersDisease Models, AnimalHumansMiceMuscle Fibers, SkeletalMuscle, SkeletalSarcolemmaBiomarkersDystrophinDMDDuchenne muscular dystrophyImage analysisMicroscopyPathologyQuantification

Identifiers

PMID41028309

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.