Sentence examples for mutations that fall from inspiring English sources

Missense mutations that fall on interfaces and nonsense/frameshift mutations that result in truncated negative regulators disrupt the interactions with the targets, thereby enabling constitutive activation of the nuclear factor-kappa B, and contributing to chronic inflammation, autoimmune diseases, and oncogenesis.

This permitted a more detailed analysis of the mutations that fall within this domain in the various family members, as described in Supplementary Methods S1.

In our laboratories, we have generated over 1350 lethal mutations that fall into 486 complementation groups.

Up to 40% of human cancers express high levels of mutant p53 and 74% of these are missense mutations that fall within its central DNA-binding domain.

This study highlights the importance of functionally evaluating mutations that fall within different splice variants of a single gene for disease or tissue-specific relevance.

Also, combinations of mutations that fall short of killing the organism, but render it incapacitated in some way – so-called 'synthetic sick' interactions – can also reveal important information about gene function.

The amount of Φ mutations that fell in the entire ciliome database (i.e. list 1 and 2) was on average one.

Only missense mutations that fell within the aligned region were used, and each was included only once, to eliminate frequency bias, but multiple disease mutations could be associated with a single site.

For example, two brothers who were compound heterozygotes for mutations that fell in the amino region of the MRE11A protein died of pulmonary adenocarcinoma before age 20 [ 9, 10], which would seem very unlikely in the absence of an underlying cancer predisposition.

Also shown for each drug is the proportion of patients (with 1 or more IAS resistance mutation) that fall below, between, and above the clinical cut-offs of the Virco vPhenotype reports (Table 3).

Construction of the domain landscape also revealed many properties that are not apparent from traditional gene-based analyses by examining the individual contributions of mutations from distinct genes that fall within a shared domain.