Sentence examples for between miRNAs of different from inspiring English sources

Evolution patterns are quite different between miRNAs of different ages.

This can be explained by the very high level of conservation between miRNAs of different species.

In "Evolutionary and Expression Analysis of miR- -5p and miR- -5p at the miR- -5psomiRs Levels," L. Guo et and explored the potential evolutionary and expression divergence and relationships between miR- -3promiR- -3pent armiR- -3pfferent/sate pre-miRNAs according thethe armiRNAs/isomiRsd/or arm switching phenomenon in miRNA worLevels

This study aimed to explore the potential evolutionary and expression divergences and relationships between miRNAs from different arms of different/same pre-miRNAs.

In agreement with this, ER-positive and ER-negative patients have previously been shown to have differential miRNA expression signatures [ 2], and differential expression of miRNAs between tumors of different subtype and grade has also been reported [ 2, 17, 35].

Recent studies have exhibited possible links between expression of different miRNAs, levels of miRNA processing enzymes, and cancer prognosis.

Also, current studies confirm the existence of significant correlations between the expression of different miRNAs and a number of cancers.

Software identified interrelations between the expression of different miRNAs to assess whether the pattern of up- and down-regulation was consistent with specific biologic pathways.

To detect differential expression of miRNAs between different groups of interest, we used a one-way anova with a P-value threshold of 5%.

As reviewed recently by Jarry et al. (2014), non-congruence between results of different studies on circulating miRNAs in oncology has been a frequent observation, due to the inherently low concentration of secreted miRNAs, the use of different platforms and many possible technological pitfalls.

In our analysis, a set of only four miRNAs could discriminate between tumour samples of different RCC entities and normal tissue with an accuracy of over 86%.