Sentence examples for expression analyses indicates that from inspiring English sources

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Expression analyses indicates that with the exception of the single mosquito receptor and CinS372, all protostome and tunicate genes are expressed.

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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.

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.

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.

Expression analyses indicated that cell cycle factors mps1, cdc37, and PA2G4, and cell junction components cx43 and cldn5, are miR-133 targets during regeneration.

Although the total number of microRNAs remains controversial [4], [10], [11] and the roles of specific microRNAs are only beginning to be defined, microRNA expression analyses indicate that diverse tumors display microRNA expression profiles (for mature and/or precursor microRNAs) significantly different from normal tissue [12], [13].

Our mRNA and protein expression analyses indicate that celastrol induces HSP32/HO-1 and HSP70 expression in utricles.

The allele association combined with gene expression analyses indicated that low VAV3 expression predicts better clinical outcome.

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