Forward-scatter and side-scatter dataset for epithelial cells from touch samples analyzed by flow cytometry | Zendy

Cristina E. Stanciu | Zendy; Ye Jin Kwon | Zendy; Christopher J. Ehrhardt | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Forward-scatter and side-scatter dataset for epithelial cells from touch samples analyzed by flow cytometry

Author(s) -

Cristina E. Stanciu,

Ye Jin Kwon,

Christopher J. Ehrhardt

Publication year - 2015

Publication title -

data in brief

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.122

H-Index - 30

ISSN - 2352-3409

DOI - 10.1016/j.dib.2015.12.027

Subject(s) - sample (material) , relative standard deviation , abundance (ecology) , standard deviation , materials science , biology , nuclear medicine , chemistry , statistics , chromatography , mathematics , medicine , detection limit , fishery

'Touch' or trace biological samples submitted to caseworking labs as evidence often contain biological material from multiple individuals which can result in mixed DNA profiles. These mixture profiles are difficult to interpret and may cause analytical bottlenecks for forensic laboratories. The data in this brief reports the variation in the relative abundance of intact epithelial cells deposited by four different donors across nine days. Touch samples were generated each day by rubbing a polypropylene tube with both hands for five minutes. Forward-scatter area (FSC-A) and side-scatter area (SSC-A) data was acquired with the BD FACSCanto™ II Analyzer. The relative abundance of different sub-populations within the FSC-A and SSC-A plots was calculated against the total number of events analyzed in each sample. Mean and standard deviation values were calculated for each donor.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research