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Cartilage-specific genes and protein markers were assessed.
Next, NeuN (marker for functional neurons) and β3-tubulin/MAP2 (newborn/mature neuronal markers) were assessed.
Similarly smooth muscle markers were assessed in the OVA model as shown in the representative immunoblots (I) with densitometric analysis for smMHC (J), sm-α-actin (K) and calponin (L).
These markers were assessed before, immediately after, and 24 hours after cardiac catheterization.
Systemic and renal hemodynamic, renal cortical and medullar microcirculatory pO2 as well as renal function parameters and inflammation markers were assessed.
HbA1c, glycaemic variability (GV), anti-glycaemic medication effect score (MES, calculated based on the potency and dosage of diabetes medication), weight, body composition, CVD and renal risk markers were assessed before and after intervention.
The following key hematology markers were assessed at various time points (1, 3, 7, and 28 days): white blood cells, red blood cells, platelets, lymphocytes, neutral cells, other cells, hemoglobin, and hematocrit (HCT) (Figure 2).
Polymorphic markers were assessed for inheritance in individual F2 progeny and classified as maternal or paternal.
Pairwise associations between the different markers were assessed by the use of Spearman rank correlation coefficient.
Predictions of phylogenetic classifications based on these markers were assessed by using LSP phylogenetical markers, as interrogated by deligotyping.
All 958 markers were assessed in the replication dataset with the same association strategy adjusting for the HLA-DRB1*15:01 tagging SNP rs3135391 (FDR = .05).05
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traces were assessed
markers were analysed
markers were estimated
markers were ascertained
markers were measured
markers were evaluated
labels were assessed
indicator were assessed
markers were selected
markers were related
markers were fastened
markers were increased
markers were observed
markers were sorted
markers were determined
markers were considered
markers were designed
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