Literature DB >> 3971416

Cell kinetic studies in the epidermis of mouse. III. The percent labelled mitosis (PLM) technique.

C S Potten, H E Wichmann, K Dobek, J Birch, T M Codd, L Horrocks, M Pedrick, S P Tickle.   

Abstract

Full PLM curves have been obtained for four sites in the mouse. The first peaks have been analysed by computer and the duration of the G2 + M and S phases determined together with their standard deviations. The full curves showed a general similarity for all four sites with no clear second peak. The data are compared with the published data for mouse and human epidermis using the in vivo PLM technique. The timing and shape of the first peak can vary considerably even for one site in mice. Hence, both G2 + M and S can vary in their durations. Cells labelled at one time of day exhibit different kinetic properties to those labelled at another time of day. The duration of G2 + M is shortest in dorsum labelled at 03.00 hours (3 X 2 hr) and longest in tail (up to 7 X 5 hr). The S-phase is shortest in dorsum (6 X 3-7 X 2 hr) and longest in tail or ear (13 X 3-14 X 1 hr). There is also a very large standard deviation in tail and foot. There is little general variability when the psoriatic human data are considered, which is surprising. The general variability amongst the data from experimental mice might also be expected amongst humans which might make comparisons between the cell kinetics of normal and diseased skin difficult.

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Year:  1985        PMID: 3971416     DOI: 10.1111/j.1365-2184.1985.tb00632.x

Source DB:  PubMed          Journal:  Cell Tissue Kinet        ISSN: 0008-8730


  3 in total

1.  Preneoplastic lesion growth driven by the death of adjacent normal stem cells.

Authors:  Dennis L Chao; J Thomas Eck; Douglas E Brash; Carlo C Maley; E Georg Luebeck
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-24       Impact factor: 11.205

2.  Identification of label-retaining cells in nasopharyngeal epithelia and nasopharyngeal carcinoma tissues.

Authors:  Hong-Bo Zhang; Cai-Ping Ren; Xu-Yu Yang; Lei Wang; Hui Li; Ming Zhao; Hong Yang; Kai-Tai Yao
Journal:  Histochem Cell Biol       Date:  2006-11-30       Impact factor: 4.304

3.  Identification of Human Cell Cycle Phase Markers Based on Single-Cell RNA-Seq Data by Using Machine Learning Methods.

Authors:  FeiMing Huang; Lei Chen; Wei Guo; Tao Huang; Yu-Dong Cai
Journal:  Biomed Res Int       Date:  2022-08-13       Impact factor: 3.246

  3 in total

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