Elsevier, Genomics Data, (4), p. 78-81, 2015
DOI: 10.1016/j.gdata.2015.03.006
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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 dataset 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 dataset (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.