Open Access Research article

Use of somatic mutations to quantify random contributions to mouse development

Wenyu Zhou1, Yunbing Tan2, Donovan J Anderson3, Eva M Crist3, Hannele Ruohola-Baker4, Stephen J Salipante5 and Marshall S Horwitz3*

Author Affiliations

1 Department of Biology, University of Washington, Seattle, WA, 98195, USA

2 The School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, 99163, USA

3 Department of Pathology, University of Washington, Box 358056, Seattle, WA, 98195, USA

4 Department of Biochemistry, University of Washington, Seattle, WA, 98195, USA

5 Department of Laboratory Medicine, University of Washington, Seattle, WA, 98195, USA

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BMC Genomics 2013, 14:39  doi:10.1186/1471-2164-14-39

Published: 18 January 2013

Additional files

Additional file 1:

Table S1. Sources and numbers of cells isolated from each mouse.

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Additional file 2:

TableS2. Genotype data for mouse 1, Microsoft Excel file.

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Additional file 3:

Table S3. Genotype data for mouse 2, Microsoft Excel file.

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Additional file 4:

Table S4. Mutation frequency among clonal isolates in vitro.

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Additional file 5:

Table S5. Genotype data supporting Supplemental Table 5.

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Additional file 6:

Table S6. Genetic distance data for mouse 1, Microsoft Excel file.

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Additional file 7:

Table S7. Genetic distance data for mouse 2, Microsoft Excel file.

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Additional file 8:

Figure S1. Modified eBURST analysis, showing “population snapshot” of single cell clones in Mouse 2. Figure S2 Phylogenetic tree of single cell clones in mouse 2. Figure S3 Distribution of Ic symmetry statistic for mouse 1 tissue trees with highest posterior probabilities compared to random trees.

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Additional file 9:

Table S8. Pairwise genetic distance comparisons between mouse 1 and 2.

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Additional file 10:

Table S9. Statistical analysis supporting tissue correlations in Supplemental Table 9.

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Additional file 11:

Table S10. PCR primers for all PolyG markers used.

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Additional file 12:

Software.

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