Suggestions(1)
Exact(5)
Her main responsibility is the maintenance and genotyping of the transgenic mouse lines produced and used in the different research projects.
Query 5: 'Is there any existing phenotype data for other mouse knockouts of the same gene for mouse lines produced from EUCOMM ES resources'.
All genotypes of both mouse lines produced series of DCs with similar durations of inter-call intervals (no statistically significant differences, anova or anova on ranks) most of which were in the range of 300 400 milliseconds (Fig. 8a,b).
Wild-types and heterozygotes of both mouse lines produced significantly more high-noise DCs than medium- and low-noise DCs (anova or anova on ranks, P < 0.001 or P < 0.01) while in the homozygotes, DCs of the three classes occurred about equally frequently (Fig. 5).
In the case of USDs, wild-types and heterozygotes of both mouse lines produced an average of 80 90% of the USDs combined with clicks, which is a significantly higher proportion than in the respective homozygous mutants of their own line (anova, P < 0.01 or P < 0.05 for the R552H line and P < 0.01 for the S321X line; Fig. 6a).
Similar(55)
Finally, transgenic mouse lines producing high levels of soluble Aβ show age- and genotype dependent reductions in spine density [ 42].
> Before ordering a mouse line produced from IKMC resources, a researcher may be interested if other knockouts of the same gene have previously been generated and phenotyped.
When injected into mammary fat pads (MFP) of athymic mice, all cell lines produced spontaneous lymph node metastases.
Using BW 5147 T cell hybridomas isolated by fusion with spleen and lymph node cells from NOD female mice, two T cell receptor transgenic NOD mouse lines were produced.
MommeD28 and MommeD34 mouse lines were produced in an ENU mutagenesis screen for epigenetic modifiers and have been described previously [ 1].
These mouse lines were produced by bidirectional selective breeding from a genetically heterogeneous population and behave differently in several experimental models such as arthritis [ 21], lung cancer [ 22], and bacterial infection [ 23].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com