Sentence examples for expression analyses indicated that from inspiring English sources
Quantitative gene expression analyses indicated that exposure to PAC-treated dentin increased the expression of key biomineralization and odontogenic differentiation regulators, including RUNX2, BMP2, OCN, and DSPP.
Expression analyses indicated that cell cycle factors mps1, cdc37, and PA2G4, and cell junction components cx43 and cldn5, are miR-133 targets during regeneration.
The allele association combined with gene expression analyses indicated that low VAV3 expression predicts better clinical outcome.
Expression analyses indicated that higher levels of miR156 accumulated in the cao/ ch1 mutant than in the wild type plant.
Expression analyses indicated that both transcription and translation products of this molecule were highly expressed in OSCC-derived cell lines.
Temporal and spatial expression analyses indicated that these genes are potentially involved in developmental regulation of wheat plants.
Our gene expression analyses indicate that the absence of Notch3 or Notch4 caused differentially expressed genes involved in T-cell signaling.
Expression analyses indicate that miR-34a is physiologically relevant for mammary epithelium, as it is coherently regulated along mammary gland development (e.g., low or absent in MaSCs and induced upon luminal lineage differentiation).
Our genetic and expression analyses indicate that the suppression of SPCH and stomatal production is mediated by the bHLH transcription factor PHYTOCHROME-INTERACTING FACTOR 4 (PIF4), a core component of high-temperature signaling.
Gene expression analyses indicate that HGF coating enhanced osteoblast differentiation as demonstrated by increased runx2 (a transcription factor important for osteoblast lineage and differentiation), alkaline phosphatase (marker of mid stage differentiation) and osteocalcin (marker of late stage differentiation) mRNA levels.
Allelic expression analyses indicate that previously mapped common regulatory variants identified in eight populations from the International Haplotype Map Phase 3 project have similar effects in our seven sampled HGDP populations, suggesting that the cellular effects of common variants are shared across diverse populations.
