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by
Kremling, Karl, author. (orcid)0000-0001-5068-0372
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tested between genotypes and gene expression (eQTL) and between gene expression and downstream phenotypes.
by
McBride, Zach M., author.
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-translational control of gene expression with the mechanisms by which diverse cellular activities are integrated during
by
Damodaran, Suresh, author.
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development. Using the global gene expression data, we also identified three nodule-enriched genes encoding
by
Kanchupati, Praveena, author.
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' response to low temperatures. The results based on the gene expression and its correlation with freezing
by
Alkahtani, Jawaher Salman, author.
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expression of the gene(s) adjacent to the 35S enhancer. In this study, the I-AT library was used to screen
by
Nagarajan, Ragupathi, author. (orcid)0000-0003-3654-3368
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during the divergence of monocots, which determined the gene structure, expression and thermal
by
Hixson, Kim Kathleen, author. (orcid)0000-0003-3915-7040
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ADT knock-outs (KOs) and over-expression (OE) lines. By using both KO and OE lines we could provide
by
Zhou, Adele, author.
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, suggesting that there is a mechanism controlling gene expression post-transcriptionally, possibly involving
by
Cai, Chao, author.
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) analysis using RNA-seq and knocking down gene expression by RNA interference, three genes (PvGAPC1, PvOCT4
by
Suarez-Roman, Frank, author.
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-PCR gene expression analysis of CBF3/DREB1A showed that it is overexpressed in the nlp7-1 mutant. STZ/ZAT
by
Frederick, Curtis M., author.
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In Chapter 2, metabolite and vacuolar acid invertase (Vinv) relative expression was evaluated after
by
Holmes, Jennifer, author.
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gene regulatory networks through co-expression analysis.
by
Kuepper, Anita, author.
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(HAT). Differential gene expression analysis identified CYP72A219 and CYP81E8 as strong candidates for
by
Huzar Novakowiski, Jaqueline, author.
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variability in disease development was observed among the three experiments. The pattern and magnitude of gene
by
Singh, Amritpal, author.
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to Cmn between resistant (N551) and susceptible (B14A) inbred lines using a weighted gene co-expression
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