Unknown

Dataset Information

0

Dataset on gene expression profiling of multiple murine hair follicle populations.


ABSTRACT: The murine hair follicle contains several different keratinocyte progenitor populations within its compartments. By using antibodies against CD34, Itg?6, Sca-1 and Plet-1, we have isolated eight populations and compared their Krt10 and Krt14 expressions using fluorescence microscopy. This improved panel was used in our associated article doi:10.1016/j.scr.2016.06.002 (A.P. Gunnarsson, R. Christensen, J. Li, U.B. Jensen, 2016) [1] and the present dataset describes the basic controls for the FACS. We also used imaging flow cytometry to visualize the identified populations as control. A more detailed analysis of the global gene expression profiling is presented, focusing on the pilosebaceous unit. Murine whole-mounts were stained for heat shock protein Hspa2, which is exclusively expressed by keratinocytes with low or no expression of the four selection markers (IRK). Whole-mount labeling was also conducted to visualize Krt79 and Plet-1 coexpression within the hair follicle and quantification on the distribution of Krt79 positive keratinocytes is presented.

SUBMITTER: Gunnarsson AP 

PROVIDER: S-EPMC5030336 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Dataset on gene expression profiling of multiple murine hair follicle populations.

Gunnarsson Anders Patrik AP   Christensen Rikke R   Li Jian J   Jensen Uffe Birk UB  

Data in brief 20160905


The murine hair follicle contains several different keratinocyte progenitor populations within its compartments. By using antibodies against CD34, Itgα6, Sca-1 and Plet-1, we have isolated eight populations and compared their Krt10 and Krt14 expressions using fluorescence microscopy. This improved panel was used in our associated article doi:10.1016/j.scr.2016.06.002 (A.P. Gunnarsson, R. Christensen, J. Li, U.B. Jensen, 2016) [1] and the present dataset describes the basic controls for the FACS.  ...[more]

Similar Datasets

| S-EPMC9820680 | biostudies-literature
| S-EPMC3083781 | biostudies-other
| S-EPMC1850155 | biostudies-literature
| S-EPMC4048940 | biostudies-literature
| S-EPMC3408794 | biostudies-literature
| S-EPMC5322611 | biostudies-literature
| S-EPMC8436095 | biostudies-literature
| 2628246 | ecrin-mdr-crc
| EGAD00010001500 | EGA
| EGAD00010001501 | EGA