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

‘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...

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Detalles Bibliográficos
Autores principales: Stanciu, Cristina E., Kwon, Ye Jin, Ehrhardt, Christopher J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709467/
https://www.ncbi.nlm.nih.gov/pubmed/26866050
http://dx.doi.org/10.1016/j.dib.2015.12.027
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author Stanciu, Cristina E.
Kwon, Ye Jin
Ehrhardt, Christopher J.
author_facet Stanciu, Cristina E.
Kwon, Ye Jin
Ehrhardt, Christopher J.
author_sort Stanciu, Cristina E.
collection PubMed
description ‘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.
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spelling pubmed-47094672016-02-10 Forward-scatter and side-scatter dataset for epithelial cells from touch samples analyzed by flow cytometry Stanciu, Cristina E. Kwon, Ye Jin Ehrhardt, Christopher J. Data Brief Data Article ‘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. Elsevier 2015-12-19 /pmc/articles/PMC4709467/ /pubmed/26866050 http://dx.doi.org/10.1016/j.dib.2015.12.027 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Stanciu, Cristina E.
Kwon, Ye Jin
Ehrhardt, Christopher J.
Forward-scatter and side-scatter dataset for epithelial cells from touch samples analyzed by flow cytometry
title Forward-scatter and side-scatter dataset for epithelial cells from touch samples analyzed by flow cytometry
title_full Forward-scatter and side-scatter dataset for epithelial cells from touch samples analyzed by flow cytometry
title_fullStr Forward-scatter and side-scatter dataset for epithelial cells from touch samples analyzed by flow cytometry
title_full_unstemmed Forward-scatter and side-scatter dataset for epithelial cells from touch samples analyzed by flow cytometry
title_short Forward-scatter and side-scatter dataset for epithelial cells from touch samples analyzed by flow cytometry
title_sort forward-scatter and side-scatter dataset for epithelial cells from touch samples analyzed by flow cytometry
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709467/
https://www.ncbi.nlm.nih.gov/pubmed/26866050
http://dx.doi.org/10.1016/j.dib.2015.12.027
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