Sentence examples for gene seed from inspiring English sources

The miRNA-target recognition is mainly due to the perfect complementarity between a short 7 8 nt stretch at 5' end of the miRNA molecule (miRNA seed) and the corresponding stretch on the 3'UTR of the target gene (seed match).

This was the strongest co-expression amongst all disease gene seed lists tested, indicating they are involved in the same process and are tightly regulated (Additional file 7).

Finally, the selected target gene (seed) is associated with a group of genes, the "biomodule" that share similar expression patterns and genomic or functional characteristics, using our PGNet algorithm [ 15].

Second, a mutation seeded subnetwork (MSSN) that connects the mutated gene (seed) and the up- or down-regulated genes (targets) is then identified for each of the mutated genes if the length of the path between the mutated gene and the re-regulated gene is shorter than randomly selected paths.

To determine if the abnormal phenotype of the pHEX22 transformed cotton plants segregated with the NaD1 gene, seed from the four fertile transgenic events (lines 78.131.1, 83.23.2, 83.68.1 and 83.102.1) were planted in the greenhouse and the germinated T1 plants were assessed for NaD1 accumulation, number of transgene inserts and phenotype.

The results show the numbers of times each of the 20,676 genes in the co-expression map were "friends" with genes in the disease gene seed and corresponding p-values indicate the statistical significance of the co-expression (see Materials and Methods).

When the same gene was expressed in an Arabidopsis mutated in a DGAT gene, seeds with over 60% of these TAG molecules were obtained (Timothy Durrett, MSU, personal communication).

We further tested four single copy Mendelian genes, seed shape, seed color, flower colour, and size [ 41- 44].

The final subnetwork has 453 genes and 2374 interactions, and 354 genes are initial T2D genes (seed genes) while 99 genes (nodes) are added to optimize the connectivity.

We started by collecting an initial set of genes (seed genes) known to be related to a disease from curated databases such as OMIM.

Hypothesizing that genes that are connected to one or more known disease genes ("seed genes") are also probably implicated in the same disease, our goal is to find such novel candidate genes with "strong" associations to the seed genes.