ArticleGenomics data2015
Time course transcriptional profiling of senescing barley leaves.
Article in Genomics data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Physio-Genetic Dissection of Dark-Induced Leaf Senescence and Timing Its Reversal in Barley.Plant physiology · 2018Article
- A gene expression microarray for Nicotiana benthamiana based on de novo transcriptome sequence assembly.Plant methods · 2016Article
- From Accumulation to Degradation: Reprogramming Polyamine Metabolism Facilitates Dark-Induced Senescence in Barley Leaf Cells.Frontiers in plant science · 2015Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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