e. a specific quantitative phenotype. The mice are PLX4032 manufacturer usually backcrossed a large number of generations onto a specific strain (usually C57Bl/6) and, as controls, the WT of the same strain is most often used. These types of experiments are, however, subject
to many pitfalls and there are no clear standard rules regarding how to perform and report them. As a result, incorrect conclusions may be drawn, which delays the discovery of the true effects. These problems have, over the years, been debated mainly based on examples where the targeted genes are located within loci that have been positioned in the genome by genetic mapping experiments, but the effect is subsequently found to be mediated by a gene(s) other than the one originally suspected in the locus (see 1–5). Mapping of genes controlling disease or immunological traits allows the identification of the chromosomal region containing the genetic polymorphism Daporinad ic50 of importance and subsequently, after great effort, the exact positioning
of the affected gene(s) can also be determined. This has revealed a very complex pattern of numerous polymorphisms that are spread over the genome of commonly used inbred strains. Isolation of such loci, i.e. introducing the loci to a new genetic background, may produce both stronger and different effects of the gene as has been shown using congenic strains containing defined chromosomal regions of a different origin. It has, for example, been reported that crosses of 129 and C57Bl/6 (B6) strains results in mice that spontaneously display a lupus type of systemic autoimmunity 3. Mapping the 129×B6 crosses showed that the autoimmune response is controlled by numerous loci. Thus, in mice Parvulin with a targeted gene within a linked 129 fragment backcrossed onto B6 there is a considerable risk that the targeted gene is influenced
by the surrounding 129 genes when autoimmunity is analysed. In fact, the authors demonstrate that a 129-derived congenic fragment of chromosome 1 containing both apcs and FcR genes has effects on lupus autoimmunity by itself, questioning the data using mice with knockout genes in the same 129-derived region 3. In another example, it could be shown that an unknown polymorphic gene, rather than the targeted interferon receptor deficiency, explained diabetes resistance 5. A similar explanation was provided for the effects of osteopontin knockout on autoimmune disease, which are found to vary depending on the number of backcrosses 4. The precise identification of mutations may change our understanding of the role of the gene, as previously determined by targeted deletions, as is the case with the contrasting effects of Ncf1 on autoimmune diseases 6–8. To have a conclusive experiment that analyzes gene modifications, it is necessary that only the gene in question is compared.