Works Published in 2018

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2018 journal article

Comprehensive transcriptome analyses correlated with untargeted metabolome reveal differentially expressed pathways in response to cell wall alterations

PLANT MOLECULAR BIOLOGY, 96(4-5), 509–529.

By: N. Reem*, H. Chen n, M. Hur*, X. Zhao*, E. Wurtele*, X. Li n, L. Li*, O. Zabotina*

author keywords: Arabidopsis thaliana; Cell wall signaling; Metabolomics; Systems biology; Transcriptomics
MeSH headings : Arabidopsis / genetics; Cell Wall / metabolism; Gene Expression Profiling; Gene Expression Regulation, Plant; Hydrolases / metabolism; Metabolome / genetics; Plants, Genetically Modified; Reproducibility of Results; Stress, Physiological / genetics; Transcription Factors / metabolism; Transcriptome / genetics
TL;DR: Combining the transcriptomics and metabolomics datasets increased the power of pathway prediction, and demonstrated the complexity of pathways involved in cell wall-mediated signaling, elucidate how primary metabolism responds to extracellular stimuli. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science; OpenAlex)
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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