The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Proteomic identification of secreted proteins from human skeletal muscle cells and expression in response to strength training
Abstract
Regular physical activity protects against several types of diseases. This may involve altered secretion of signaling proteins from skeletal muscle. Our aim was to identify the most abundantly secreted proteins in cultures of human skeletal muscle cells and to monitor their expression in muscles of strength-training individuals. A total of 236 proteins were detected by proteome analysis in medium conditioned by cultured human myotubes, which was narrowed down to identification of 18 classically secreted proteins expressed in skeletal muscle, using the SignalP 3.0 and Human Genome Expression Profile databases together with a published mRNA-based reconstruction of the human skeletal muscle secretome. For 17 of the secreted proteins, expression was confirmed at the mRNA level in cultured human myotubes as well as in biopsies of human skeletal muscles. RT-PCR analyses showed that 15 of the secreted muscle proteins had significantly enhanced mRNA expression in m. vastus lateralis and/or m. trapezius after 11 wk of strength training among healthy volunteers. For example, secreted protein acidic and rich in cysteine, a secretory protein in the membrane fraction of skeletal muscle fibers, was increased 3- and 10-fold in m. vastus lateralis and m. trapezius, respectively. Identification of proteins secreted by skeletal muscle cells in vitro facilitated the discovery of novel responses in skeletal muscles of strength-training individuals.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011
The role of exercise and PGC1α in inflammation and chronic disease
Handschin, C., & Spiegelman, B. M. (2008) · Nature · doi:10.1038/nature07206 · Cited by 1,083
Manson, J. E., Hu, F. B., Rich-Edwards, J. W., Colditz, G. A., Stampfer, M. J., Willett, W. C., Speizer, F. E., & Hennekens, C. H. (1999) · New England Journal of Medicine · doi:10.1056/nejm199908263410904 · Cited by 1,005
Interleukin-6 Is an Essential Regulator of Satellite Cell-Mediated Skeletal Muscle Hypertrophy
Serrano, A. L., Baeza-Raja, B., Perdiguero, E., Jardí, M., & Muñoz-Cánoves, P. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.11.011 · Cited by 873 · cited 2×
“Furthermore, muscle-produced IL-6 is important for hypertrophic skeletal muscle growth (40).”
Signalling pathways that mediate skeletal muscle hypertrophy and atrophy
Glass, D. J. (2003) · Nature Cell Biology · doi:10.1038/ncb0203-87 · Cited by 694
Miller, B. F., Olesen, J. L., Hansen, M., Døssing, S., Crameri, R. M., Welling, R. J., Langberg, H., Flyvbjerg, A., Kjaer, M., Babraj, J. A., et al. (2005) · The Journal of Physiology · doi:10.1113/jphysiol.2005.093690 · Cited by 610
Thomas, D. R. (2007) · Clinical Nutrition · doi:10.1016/j.clnu.2007.03.008 · Cited by 521 · cited 1×
“Whereas endurance training typically improves cardiovascular function (31), strength training reduces sarcopenia (44).”
Increased secretion and expression of myostatin in skeletal muscle from extremely obese women
Hittel, D. S., Berggren, J. R., Shearer, J., Boyle, K., & Houmard, J. A. (2009) · Diabetes · doi:10.2337/db08-0943 · Cited by 324 · cited 4×
“In accordance with our mRNA data, they observed increased protein concentration in cell media of COL1A1 and SPARC after 2 and 5 days of differentiation.”
MethodInfluentialIL-7 is expressed and secreted by human skeletal muscle cells
Haugen, F., Norheim, F., Lian, H., Wensaas, A. J., Dueland, S., Berg, O., Funderud, A., Skålhegg, B. S., Raastad, T., & Drevon, C. A. (2010) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00094.2009 · Cited by 237 · cited 6×
“Myoblasts were differentiated to myotubes (19) and rinsed with PBS 6 times prior to incubation for 6 h in 9 ml serum-free DMEM (containing 25 mmol/l glucose and 25 pmol/l insulin) per 175 cm(2) cell-bind flask (cat.”
InfluentialRØNNESTAD, B. R., EGELAND, W., KVAMME, N. H., REFSNES, P. E., KADI, F., & RAASTAD, T. (2007) · Journal of Strength and Conditioning Research · doi:10.1519/00124278-200702000-00028 · Cited by 140
Self-citation
Cited by
Muscles, exercise and obesity: skeletal muscle as a secretory organ
Pedersen, B. K., & Febbraio, M. A. (2012) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2012.49 · Cited by 2,909
Metabolic Syndrome and Insulin Resistance: Underlying Causes and Modification by Exercise Training
Roberts, C. K., Hevener, A. L., & Barnard, R. J. (2013) · Comprehensive Physiology · doi:10.1002/cphy.c110062 · Cited by 831
Exercise benefits in cardiovascular disease: beyond attenuation of traditional risk factors
Fiuza-Luces, C., Santos-Lozano, A., Joyner, M., Carrera-Bastos, P., Picazo, O., Zugaza, J. L., Izquierdo, M., Ruilope, L. M., & Lucia, A. (2018) · Nature Reviews Cardiology · doi:10.1038/s41569-018-0065-1 · Cited by 803
Exercise is the real polypill.
Fiuza-Luces, C., Garatachea, N., Berger, N. A., & Lucia, A. (2013) · Physiology · doi:10.1152/physiol.00019.2013 · Cited by 791
Pedersen, B. K. (2013) · Comprehensive physiology · doi:10.1002/cphy.c120033 · Cited by 516
Metadata
- Authors
- Norheim, F., Raastad, T., Thiede, B., Rustan, A. C., Drevon, C. A., & Haugen, F.
- Venue
- American Journal of Physiology-Endocrinology and Metabolism
- Publisher
- American Physiological Society
- Published
- 2011-11
- Volume
- 301
- Issue
- 5
- Pages
- E1013-E1021
- ISSN
- 0193-1849 (ISSN-L)
- 1522-1555
- OpenAlex
- W2114129845
- Cited by
- 181
- References
- 10
- FWCI
- 5.17
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Proteomic identification of secreted proteins from human skeletal muscle cells and expression in response to strength training. https://app.cochat.ai/papers/10.1152/ajpendo.00326.2011
- The paper
- Norheim, F., Raastad, T., Thiede, B., Rustan, A. C., Drevon, C. A., & Haugen, F. (2011). Proteomic identification of secreted proteins from human skeletal muscle cells and expression in response to strength training. American Journal of Physiology-Endocrinology and Metabolism. https://doi.org/10.1152/ajpendo.00326.2011
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.