ArticlePloS one2011
Microgenomic analysis in skeletal muscle: expression signatures of individual fast and slow myofibers.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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.
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.
Who cites it
57 citing papers in PubMed, 114 citations in OpenAlex.
- Article
- Transcriptome Analysis of Muscle Tissue from Three Anatomical Locations in Male and Female Kazakh Horses.Biology · 2025Article
- Creation of knockin mice for the fluorescence protein based in vivo identification of skeletal myofiber types.Scientific reports · 2025Article
- Problems in Diagnosis and Treatment of Soleus Muscle Injuries-Narrative Review and Case Report.Journal of clinical medicine · 2025Review
- In situ spatial transcriptomic analysis of human skeletal muscle using the Xenium platform.Cell and tissue research · 2025Article
- Exploring the Role of Extracellular Vesicles in Skeletal Muscle Regeneration.International journal of molecular sciences · 2024Review
- Transcriptome and Metabolome Profiling Provide New Insights into Disuse Muscle Atrophy in Chicken: The Potential Role of Fast-Twitch Muscle Fibers.International journal of molecular sciences · 2024Article
- The Acute, Short-, and Long-Term Effects of Endurance Exercise on Skeletal Muscle Transcriptome Profiles.International journal of molecular sciences · 2024Article
- High-Throughput Microscopy Analysis of Mitochondrial Membrane Potential in 2D and 3D Models.Cells · 2023Article
- Dysfunctional mitochondria accumulate in a skeletal muscle knockout model of Smn1, the causal gene of spinal muscular atrophy.Cell death & disease · 2023Article
- The profiles and clinical significance of extraocular muscle-expressed lncRNAs and mRNAs in oculomotor nerve palsy.Frontiers in molecular neuroscience · 2023Article
- A novel method for determining murine skeletal muscle fiber type using autofluorescence lifetimes.The Journal of general physiology · 2022Article
- Impact of Atorvastatin on Skeletal Muscle Mitochondrial Activity, Locomotion and Axonal Excitability-Evidence fromInternational journal of molecular sciences · 2022Article
- Skeletal muscle undergoes fiber type metabolic switch without myosin heavy chain switch in response to defective fatty acid oxidation.Molecular metabolism · 2022Article
- Skeletal muscle phenotyping of Hippo gene-mutated mice reveals that Lats1 deletion increases the percentage of type I muscle fibers.Transgenic research · 2022Article
- Skeletal muscle oxidative stress and inflammation in aging: Focus on antioxidant and anti-inflammatory therapy.Frontiers in cell and developmental biology · 2022Review
- Changes in Skeletal Muscle PAK1 Levels Regulate Tissue Crosstalk to Impact Whole Body Glucose Homeostasis.Frontiers in endocrinology · 2022Article
- Discovering fiber type architecture over the entire muscle using data-driven analysis.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2021Article
- Comparing the epigenetic landscape in myonuclei purified with a PCM1 antibody from a fast/glycolytic and a slow/oxidative muscle.PLoS genetics · 2021Article
- A pig BodyMap transcriptome reveals diverse tissue physiologies and evolutionary dynamics of transcription.Nature communications · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSkeletal muscle is a complex, versatile tissue composed of a variety of functionally diverse fiber types. Although the biochemical, structural and functional properties of myofibers have been the subject of intense investigation for the last decades, understanding molecular processes regulating fiber type diversity is still complicated by the heterogeneity of cell types present in the whole muscle organ. METHODOLOGY/PRINCIPAL
findingsWe have produced a first catalogue of genes expressed in mouse slow-oxidative (type 1) and fast-glycolytic (type 2B) fibers through transcriptome analysis at the single fiber level (microgenomics). Individual fibers were obtained from murine soleus and EDL muscles and initially classified by myosin heavy chain isoform content. Gene expression profiling on high density DNA oligonucleotide microarrays showed that both qualitative and quantitative improvements were achieved, compared to results with standard muscle homogenate. First, myofiber profiles were virtually free from non-muscle transcriptional activity. Second, thousands of muscle-specific genes were identified, leading to a better definition of gene signatures in the two fiber types as well as the detection of metabolic and signaling pathways that are differentially activated in specific fiber types. Several regulatory proteins showed preferential expression in slow myofibers. Discriminant analysis revealed novel genes that could be useful for fiber type functional classification. CONCLUSIONS/SIGNIFICANCE: As gene expression analyses at the single fiber level significantly increased the resolution power, this innovative approach would allow a better understanding of the adaptive transcriptomic transitions occurring in myofibers under physiological and pathological conditions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.