We then used this set of consistently expressed genes and compared their expression in normal hematopoietic progenitors versus that in non-hematopoietic tissues, to identify which genes could differentiate these two tissue sources.
We measured the expression of the major isoforms of the HNF1A, HNF1B and HNF4A genes in human and rodent pancreas, islet, liver and kidney by isoform-specific quantitative real-time PCR and compared their expression by the comparative Ct (ΔΔCt) method.
We, therefore, investigated a number of biomarkers, that are expressed in colon adenocarcinoma cells and compared their expression levels in a test-set of lymph nodes from CRC patients of different Dukes' stages and controls as well as in primary tumours, in epithelial cells of normal and inflamed colon and in different types of immune cells.
In this study, we compared their expression in the glomeruli and our results indicate that AQP1 was expressed on red blood cells– 3(f)).
We then performed the complementary analysis by identifying the 30 most differentially expressed genes in the 10 μg reference data and compared their expression in the in the single cell RNA-Seq data.
In order to elucidate the biological significance of each protein, we microscopically examined positive cases in detail and compared their expression with histological components, and found that EGFR tended to be expressed in the poorly differentiated component, which is characterised by infiltration in both IHCC and EHCC.
Using a deep-sequencing method, we identified 367 differentially expressed miRNAs (including 46 conserved miRNAs and 321 novel miRNAs) and compared their expression levels in the two genotypes.
To directly compare patterns of expression we identified the 30 most differentially expressed genes in the single cell RNA-Seq data, and then compared their expression in the 10 μg reference data.
To validate the data obtained by microarray analysis, we randomly sampled 14 of the 37 candidate genes and compared their expression levels in both Rio and BTx623 by performing quantitative reverse transcription polymerase chain reaction (qRT-PCR; Fig. 2a).
To further enhance the anti-HIV efficiency of these ribozymes by increasing their level of transcription, we designed several tRNALys3 promoter variants and compared their expression levels from the internal tRNALys3 promoters and also from an exogenous human U6 snRNA promoter.
We obtained 4 biopsy samples and 5 surgical samples of non-cancerous tissues, and compared their expression profiles.
