Elle C Roberson1, Ngan K Tran1, Mia J Konjikusic1,2, Rebecca D Fitch1, Ryan S Gray2,3, John B Wallingford1. 1. Department of Molecular Biosciences, Patterson Labs, University of Texas at Austin, Austin, Texas, USA. 2. Department of Pediatrics, Dell Pediatric Research Institute, University of Texas at Austin, Austin, Texas, USA. 3. Department of Nutritional Sciences, University of Texas at Austin, Austin, Texas, USA.
Abstract
BACKGROUND: In mammals, multiciliated cells (MCCs) line the lumen of the trachea, oviduct, and brain ventricles, where they drive fluid flow across the epithelium. Each MCC population experiences vastly different local environments that may dictate differences in their lifetime and turnover rates. However, with the exception of MCCs in the trachea, the turnover rates of these multiciliated epithelial populations at extended time scales are not well described. RESULTS: Here, using genetic lineage-labeling techniques we provide a direct comparison of turnover rates of MCCs in these three different tissues. CONCLUSION: We find that oviduct turnover is similar to that in the airway (~6 months), while multiciliated ependymal cells turnover more slowly.
BACKGROUND: In mammals, multiciliated cells (MCCs) line the lumen of the trachea, oviduct, and brain ventricles, where they drive fluid flow across the epithelium. Each MCC population experiences vastly different local environments that may dictate differences in their lifetime and turnover rates. However, with the exception of MCCs in the trachea, the turnover rates of these multiciliated epithelial populations at extended time scales are not well described. RESULTS: Here, using genetic lineage-labeling techniques we provide a direct comparison of turnover rates of MCCs in these three different tissues. CONCLUSION: We find that oviduct turnover is similar to that in the airway (~6 months), while multiciliated ependymal cells turnover more slowly.
Authors: Emma L Rawlins; Lawrence E Ostrowski; Scott H Randell; Brigid L M Hogan Journal: Proc Natl Acad Sci U S A Date: 2006-12-28 Impact factor: 11.205
Authors: David W Kindelberger; Yonghee Lee; Alexander Miron; Michelle S Hirsch; Colleen Feltmate; Fabiola Medeiros; Michael J Callahan; Elizabeth O Garner; Robert W Gordon; Chandler Birch; Ross S Berkowitz; Michael G Muto; Christopher P Crum Journal: Am J Surg Pathol Date: 2007-02 Impact factor: 6.394
Authors: Nathalie Spassky; Florian T Merkle; Nuria Flames; Anthony D Tramontin; José Manuel García-Verdugo; Arturo Alvarez-Buylla Journal: J Neurosci Date: 2005-01-05 Impact factor: 6.167
Authors: Ko-Hui Tung; Lynne R Wilkens; Anna H Wu; Katharine McDuffie; Abraham M Y Nomura; Laurence N Kolonel; Keith Y Terada; Marc T Goodman Journal: Am J Epidemiol Date: 2005-02-15 Impact factor: 4.897
Authors: R Troisi; T Bjørge; M Gissler; T Grotmol; C M Kitahara; S M Myrtveit Saether; A G Ording; C Sköld; H T Sørensen; B Trabert; I Glimelius Journal: J Intern Med Date: 2018-03-25 Impact factor: 8.989
Authors: Elle C Roberson; Anna M Battenhouse; Riddhiman K Garge; Ngan Kim Tran; Edward M Marcotte; John B Wallingford Journal: Dev Biol Date: 2021-04-14 Impact factor: 3.148
Authors: Casey D Gailey; Eric J Wang; Li Jin; Sean Ahmadi; David L Brautigan; Xudong Li; Wenhao Xu; Michael M Scott; Zheng Fu Journal: Dev Dyn Date: 2020-10-07 Impact factor: 2.842