Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues

  1. Erin E Terry
  2. Xiping Zhang
  3. Christy Hoffmann
  4. Laura D Hughes
  5. Scott A Lewis
  6. Jiajia Li
  7. Matthew J Wallace
  8. Lance Riley
  9. Collin M Douglas
  10. Miguel A Gutierrez-Montreal
  11. Nicholas F Lahens
  12. Ming C Gong
  13. Francisco Andrade
  14. Karyn A Esser
  15. Michael E Hughes  Is a corresponding author
  1. Washington University School of Medicine, United States
  2. University of Florida, United States
  3. The Scripps Research Institute, United States
  4. University of Pennsylvania, United States
  5. University of Kentucky, United States

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This article was accepted for publication via eLife's original publishing model. eLife publishes the authors' accepted manuscript as a PDF only version before the full Version of Record is ready for publication. Peer reviews are published along with the Version of Record.

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  1. Version of Record published
  2. Accepted Manuscript published
  3. Accepted
  4. Received

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  1. Erin E Terry
  2. Xiping Zhang
  3. Christy Hoffmann
  4. Laura D Hughes
  5. Scott A Lewis
  6. Jiajia Li
  7. Matthew J Wallace
  8. Lance Riley
  9. Collin M Douglas
  10. Miguel A Gutierrez-Montreal
  11. Nicholas F Lahens
  12. Ming C Gong
  13. Francisco Andrade
  14. Karyn A Esser
  15. Michael E Hughes
(2018)
Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues
eLife 7:e34613.
https://doi.org/10.7554/eLife.34613

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https://doi.org/10.7554/eLife.34613