The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults
Open accessAbstract
This investigation examined the effects of acute resistance exercise (RE), progressive resistance training (PRT), and age on the human skeletal muscle Transcriptome. Two cohorts of young and old adults [ study A: 24 yr, 84 yr ( n = 28); study B: 25 yr, 78 yr ( n = 36)] were studied. Vastus lateralis biopsies were obtained pre- and 4 h post-RE in conjunction with the 1st and 36th (last) training session as part of a 12-wk PRT program in study A, whereas biopsies were obtained in the basal untrained state in study B. Additionally, the muscle fiber type specific (MHC I and MHC IIa) Transcriptome response to RE was examined in a subset of young and old women from study A. Transcriptome profiling was performed using HG U133 Plus 2.0 Arrays. The main findings were 1) there were 661 genes affected by RE during the 1st and 36th training bout that correlated with gains in muscle size and strength with PRT (termed the Transcriptome signature of resistance exercise adaptations); 2) the RE gene response was most pronounced in fast-twitch (MHC IIa) muscle fibers and provided additional insight into the skeletal muscle biology affected by RE; 3) skeletal muscle of young adults is more responsive to RE at the gene level compared with old adults and age also affected basal level skeletal muscle gene expression. These skeletal muscle Transcriptome findings provide further insight into the molecular basis of sarcopenia and the impact of resistance exercise at the mixed muscle and fiber type specific level.
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
Activators and target genes of Rel/NF-κB transcription factors
Pahl, H. L. (1999) · Oncogene · doi:10.1038/sj.onc.1203239 · Cited by 3,727
Lexell, J., Henriksson‐Larsén, K., Winblad, B., & Sjöström, M. (1983) · Muscle & Nerve · doi:10.1002/mus.880060809 · Cited by 582
Exercise, MAPK, and NF-κB signaling in skeletal muscle
Kramer, H. F., & Goodyear, L. J. (2007) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00085.2007 · Cited by 375
The TWEAK–Fn14 system is a critical regulator of denervation-induced skeletal muscle atrophy in mice
Mittal, A., Bhatnagar, S., Kumar, A., Lach-Trifilieff, E., Wauters, S., Li, H., Makonchuk, D. Y., Glass, D. J., & Kumar, A. (2010) · Journal of Cell Biology · doi:10.1083/jcb.200909117 · Cited by 250
Bamman, M. M., Petrella, J. K., Kim, J.-S., Mayhew, D. L., & Cross, J. M. (2007) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00024.2007 · Cited by 216
Skeletal muscle gene expression profiles in 20–29 year old and 65–71 year old women
Welle, S., Brooks, A. I., Delehanty, J. M., Needler, N., Bhatt, K., Shah, B., & Thornton, C. A. (2004) · Experimental Gerontology · doi:10.1016/j.exger.2003.11.011 · Cited by 210 · cited 3×
“Some of the 49 genes have also been identified as affected by age in previous reports (17, 30, 53, 54), further validating these genes as sarcopenia-associated genes.”
BackgroundResultRaue, U., Slivka, D., Minchev, K., & Trappe, S. (2009) · Journal of Applied Physiology · doi:10.1152/japplphysiol.91587.2008 · Cited by 166
Self-citationReduction in hybrid single muscle fiber proportions with resistance training in humans
Williamson, D. L., Gallagher, P. M., Carroll, C. C., Raue, U., & Trappe, S. W. (2001) · Journal of Applied Physiology · doi:10.1152/jappl.2001.91.5.1955 · Cited by 150
Cited by
Exercise Metabolism and the Molecular Regulation of Skeletal Muscle Adaptation
Egan, B., & Zierath, J. R. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2012.12.012 · Cited by 2,084
Metabolic Flexibility in Health and Disease
Goodpaster, B. H., & Sparks, L. M. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.04.015 · Cited by 995
Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity
Pillon, N. J., Gabriel, B. M., Dollet, L., Smith, J. A. B., Sardón Puig, L., Botella, J., Bishop, D. J., Krook, A., & Zierath, J. R. (2020) · Nature Communications · doi:10.1038/s41467-019-13869-w · Cited by 457
Concurrent exercise training: do opposites distract?
Coffey, V. G., & Hawley, J. A. (2017) · The Journal of Physiology · doi:10.1113/jp272270 · Cited by 351
Fyfe, J. J., Bishop, D. J., & Stepto, N. K. (2014) · Sports Medicine · doi:10.1007/s40279-014-0162-1 · Cited by 347
Metadata
- Authors
- Raue, U., Trappe, T. A., Estrem, S. T., Qian, H.-R., Helvering, L. M., Smith, R. C., & Trappe, S.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 2012-05-15
- Volume
- 112
- Issue
- 10
- Pages
- 1625-1636
- ISSN
- 0161-7567 (ISSN-L)
- 8750-7587
- 1522-1601
- OpenAlex
- W2097995193
- Cited by
- 262
- References
- 8
- FWCI
- 4.88
- Type
- journal article
- Language
- en
- Open access
- green
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: Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults. https://app.cochat.ai/papers/10.1152/japplphysiol.00435.2011
- The paper
- Raue, U., Trappe, T. A., Estrem, S. T., Qian, H.-R., Helvering, L. M., Smith, R. C., & Trappe, S. (2012). Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults. Journal of Applied Physiology. https://doi.org/10.1152/japplphysiol.00435.2011
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.
