Sentence examples for mouse knockout studies from inspiring English sources

Mouse knockout studies support this role.

Mouse knockout studies have revealed that TRPM8 is required for cold sensation over a broad range of innocuous and noxious cold temperatures [12] [14].

Mouse knockout studies show that NFIA mutation results in hydrocephalus and abnormal brain development [8], NFIB mutation causes retarded lung development [9] and NFIC mutation causes abnormal tooth development [10], with very little overlap in phenotypes.

Cell-cell junctions are heterogeneous in their morphology and molecular makeup, even within a single tissue [26], [27], [28], and mouse knockout studies show complex, redundant and non-redundant roles for junctional proteins [29], [30].

Of the genes encoding the four PDGF ligands and their two receptor chains, mouse knockout studies have suggested that PDGF-B and PDGFRß are essential for the development of support cells in the vasculature, whereas PDGF-A and PDGFRα are more broadly required during embryogenesis, with essential roles in central nervous system, neural crest and organ development (reviewed in [18]).

This is compatible with mouse knockout studies.

Multiple genes contributing to mammalian folliculogenesis have been identified in mouse knockout study [ 56].

Consistent with the mouse knockout study, ubiquitous dZnT7 RNAi led to an overall reduction of zinc in the whole body.

In contrast, here we show in a mouse knockout study that Mdm2-binding ribosomal protein S27-like (Rps27l), upon disruption, activates p53.

However, a conventional mouse knockout study identified that loss of HDAC1 results in a pleiotropic phenotype accompanied by reduced proliferation rates and embryonic lethality before embryonic day E9.5 (Lagger et al, 2002).

To overcome the classical gene biomarker detection methods based on differentially expressed genes (DEGs) in studies with small number of samples, resulting too many false positives and low statistical power, Hur et al. (Seoul National U., Korea) proposed a multi-step filtering method to predict gene biomarkers from RNA-Seq data of case-control mouse-knockout studies [ 13].