Article in Molecular and cellular biology, 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.
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
6 authors.
Sara J JohnsonDepartment of Pathology & Immunology, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0002-1962-6324
Hannah L JohnsonDepartment of Molecular & Cellular Biology, Baylor College of Medicine, Houston, Texas, USA.ORCID 0009-0003-1126-8440
Reid T PowellDepartment of Translational Medical Science, Institute of Biosciences and Technology, Texas A&M University, Houston, Texas, USA.ORCID 0000-0002-6242-8315
Clifford StephanDepartment of Translational Medical Science, Institute of Biosciences and Technology, Texas A&M University, Houston, Texas, USA.ORCID 0000-0003-0657-6484
Fabio StossiDepartment of Molecular & Cellular Biology, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0001-6029-5478
Thomas A CooperDepartment of Pathology & Immunology, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0002-9238-0578
Funding
Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Suzanne AW Fuqua · 2007 to 2026
$73.9M
Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Hashem B El-Serag · 2001 to 2026
$28.3M
Transcriptome processing networks in skeletal muscle: mechanisms and functionsR01AR060733 · NIAMS · BAYLOR COLLEGE OF MEDICINE · PI COOPER, THOMAS A · 2011 to 2023
$4.0M
Mechanisms of Skeletal Muscle Pathogenesis in Myotonic Dystrophy Type 1R01AR082852 · NIAMS · BAYLOR COLLEGE OF MEDICINE · PI Thomas A Cooper · 2023 to 2026
$2.5M
ACQUISITION OF THE YOKOGAWA CV8000 HIGH THROUGHPUT SPINNING DISK MICROSCOPE AND ROBOTICSS10OD030414 · OD · BAYLOR COLLEGE OF MEDICINE · PI MANCINI, MICHAEL A. · 2022 to 2022
$1.4M
Identification of components and mechanisms regulating expanded CUG-repeat RNP complexes in Myotonic Dystrophy Type 1 muscle cellsR21AR081472 · NIAMS · BAYLOR COLLEGE OF MEDICINE · PI COOPER, THOMAS A · 2023 to 2024
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.
Small Molecule Screening Identifies HSP90 as a Modifier of RNA Foci in Myotonic Dystrophy Type 1. · full record | OpenQuestion