Cargando…
Use of multiple time points to model parotid differentiation
In order to understand the process of terminal differentiation in salivary acinar cells, mRNA and microRNA expression was measured across the month long process of differentiation in the parotid gland of the rat. Acinar cells were isolated at either nine time points (mRNA) or four time points (micro...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583626/ https://www.ncbi.nlm.nih.gov/pubmed/26484231 http://dx.doi.org/10.1016/j.gdata.2015.05.005 |
_version_ | 1782391881789865984 |
---|---|
author | Metzler, Melissa A. Appana, Savitri Brock, Guy N. Darling, Douglas S. |
author_facet | Metzler, Melissa A. Appana, Savitri Brock, Guy N. Darling, Douglas S. |
author_sort | Metzler, Melissa A. |
collection | PubMed |
description | In order to understand the process of terminal differentiation in salivary acinar cells, mRNA and microRNA expression was measured across the month long process of differentiation in the parotid gland of the rat. Acinar cells were isolated at either nine time points (mRNA) or four time points (microRNA) in triplicate using laser capture microdissection (LCM). One of the values of this dataset comes from the high quality RNA (RIN > 7) that was used in this study, which can be prohibitively difficult to obtain from such an RNaseI-rich tissue. Global mRNA expression was measured by rat genome microarray hybridization (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65586), and expression of microRNAs by qPCR array (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65324). Comparing expression at different ages, 2656 mRNAs and 64 microRNAs were identified as differentially expressed. Because mRNA expression was sampled at many time points, clustering and regression analysis were able to identify dynamic expression patterns that had not been implicated in acinar differentiation before. Integration of the two datasets allowed the identification of microRNA target genes, and a gene regulatory network. Bioinformatics R code and additional details of experimental methods and data analysis are provided. |
format | Online Article Text |
id | pubmed-4583626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-45836262015-10-19 Use of multiple time points to model parotid differentiation Metzler, Melissa A. Appana, Savitri Brock, Guy N. Darling, Douglas S. Genom Data Data in Brief In order to understand the process of terminal differentiation in salivary acinar cells, mRNA and microRNA expression was measured across the month long process of differentiation in the parotid gland of the rat. Acinar cells were isolated at either nine time points (mRNA) or four time points (microRNA) in triplicate using laser capture microdissection (LCM). One of the values of this dataset comes from the high quality RNA (RIN > 7) that was used in this study, which can be prohibitively difficult to obtain from such an RNaseI-rich tissue. Global mRNA expression was measured by rat genome microarray hybridization (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65586), and expression of microRNAs by qPCR array (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65324). Comparing expression at different ages, 2656 mRNAs and 64 microRNAs were identified as differentially expressed. Because mRNA expression was sampled at many time points, clustering and regression analysis were able to identify dynamic expression patterns that had not been implicated in acinar differentiation before. Integration of the two datasets allowed the identification of microRNA target genes, and a gene regulatory network. Bioinformatics R code and additional details of experimental methods and data analysis are provided. Elsevier 2015-05-20 /pmc/articles/PMC4583626/ /pubmed/26484231 http://dx.doi.org/10.1016/j.gdata.2015.05.005 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data in Brief Metzler, Melissa A. Appana, Savitri Brock, Guy N. Darling, Douglas S. Use of multiple time points to model parotid differentiation |
title | Use of multiple time points to model parotid differentiation |
title_full | Use of multiple time points to model parotid differentiation |
title_fullStr | Use of multiple time points to model parotid differentiation |
title_full_unstemmed | Use of multiple time points to model parotid differentiation |
title_short | Use of multiple time points to model parotid differentiation |
title_sort | use of multiple time points to model parotid differentiation |
topic | Data in Brief |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583626/ https://www.ncbi.nlm.nih.gov/pubmed/26484231 http://dx.doi.org/10.1016/j.gdata.2015.05.005 |
work_keys_str_mv | AT metzlermelissaa useofmultipletimepointstomodelparotiddifferentiation AT appanasavitri useofmultipletimepointstomodelparotiddifferentiation AT brockguyn useofmultipletimepointstomodelparotiddifferentiation AT darlingdouglass useofmultipletimepointstomodelparotiddifferentiation |