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Time course transcriptional profiling of senescing barley leaves

Cell senescence occurs as a part of developmental or stress-induced process. It is tightly regulated and involves a sequence of metabolic and structural alterations, eventually leading to cell death. Dark-induced leaf senescence is a useful model for studying senescence-related events. To facilitate...

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Autores principales: Zmienko, Agnieszka, Goralski, Michal, Samelak-Czajka, Anna, Sobieszczuk-Nowicka, Ewa, Figlerowicz, Marek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535845/
https://www.ncbi.nlm.nih.gov/pubmed/26484183
http://dx.doi.org/10.1016/j.gdata.2015.03.006
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author Zmienko, Agnieszka
Goralski, Michal
Samelak-Czajka, Anna
Sobieszczuk-Nowicka, Ewa
Figlerowicz, Marek
author_facet Zmienko, Agnieszka
Goralski, Michal
Samelak-Czajka, Anna
Sobieszczuk-Nowicka, Ewa
Figlerowicz, Marek
author_sort Zmienko, Agnieszka
collection PubMed
description Cell senescence occurs as a part of developmental or stress-induced process. It is tightly regulated and involves a sequence of metabolic and structural alterations, eventually leading to cell death. Dark-induced leaf senescence is a useful model for studying senescence-related events. To facilitate the integration of physiological and molecular studies utilizing this model, we generated the microarray data set providing time course gene expression profiles in senescing barley leaves. Here, we describe the detailed procedures and data analysis scheme of our experiment. The entire data set (available at NCBI/GEO database under GSE62539) has been successively explored to find the genes differentially expressed during the senescence process as well as to identify genes with the invariant expression as reliable references for qPCR or ddPCR experiments.
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spelling pubmed-45358452015-10-19 Time course transcriptional profiling of senescing barley leaves Zmienko, Agnieszka Goralski, Michal Samelak-Czajka, Anna Sobieszczuk-Nowicka, Ewa Figlerowicz, Marek Genom Data Data in Brief Cell senescence occurs as a part of developmental or stress-induced process. It is tightly regulated and involves a sequence of metabolic and structural alterations, eventually leading to cell death. Dark-induced leaf senescence is a useful model for studying senescence-related events. To facilitate the integration of physiological and molecular studies utilizing this model, we generated the microarray data set providing time course gene expression profiles in senescing barley leaves. Here, we describe the detailed procedures and data analysis scheme of our experiment. The entire data set (available at NCBI/GEO database under GSE62539) has been successively explored to find the genes differentially expressed during the senescence process as well as to identify genes with the invariant expression as reliable references for qPCR or ddPCR experiments. Elsevier 2015-03-28 /pmc/articles/PMC4535845/ /pubmed/26484183 http://dx.doi.org/10.1016/j.gdata.2015.03.006 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
Zmienko, Agnieszka
Goralski, Michal
Samelak-Czajka, Anna
Sobieszczuk-Nowicka, Ewa
Figlerowicz, Marek
Time course transcriptional profiling of senescing barley leaves
title Time course transcriptional profiling of senescing barley leaves
title_full Time course transcriptional profiling of senescing barley leaves
title_fullStr Time course transcriptional profiling of senescing barley leaves
title_full_unstemmed Time course transcriptional profiling of senescing barley leaves
title_short Time course transcriptional profiling of senescing barley leaves
title_sort time course transcriptional profiling of senescing barley leaves
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535845/
https://www.ncbi.nlm.nih.gov/pubmed/26484183
http://dx.doi.org/10.1016/j.gdata.2015.03.006
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