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Updated: Mar 31, 2026
Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
Time course transcriptional profiling of senescing barley leaves
Agnieszka Zmienko1, Michal Goralski2, Anna Samelak-Czajka3
1Molecular and Systems Biology Department, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland ; Institute of Computing Science, Faculty of Computing, Poznan University of Technology, Poznan, Poland.
Abstract:
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.
