Disruption of Trp53 in livers of mice induces formation of carcinomas with bilineal differentiation.

BACKGROUND & AIMS: p53 limits the self-renewal of stem cells from various tissues. Loss of p53, in combination with other oncogenic events, results in aberrant self-renewal and transformation of progenitor cells. It is not known whether loss of p53 is sufficient to induce tumor formation in liver. METHODS: We used AlfpCre mice to create mice with liver-specific disruption of Trp53 (AlfpCre(+)Trp53(Δ2-10/Δ2-10) mice). We analyzed colony formation and genomic features and gene expression patterns in liver cells during hepatocarcinogenesis in mice with homozygous, heterozygous, and no disruption of Trp53. RESULTS: Liver-specific disruption of Trp53 consistently induced formation of liver carcinomas that had bilineal differentiation. In nontransformed liver cells and cultured primary liver cells, loss of p53 (but not p21) resulted in chromosomal imbalances and increased clonogenic capacity of liver progenitor cells (LPCs) and hepatocytes. Primary cultures of hepatocytes and LPCs from AlfpCre(+)Trp53(Δ2-10/Δ2-10) mice, but not Cdkn1a(-/-) mice, formed tumors with bilineal differentiation when transplanted into immunocompromised mice. Spontaneous liver tumors that developed in AlfpCre(+)Trp53(Δ2-10/Δ2-10) mice had significant but complex alterations in expression of Rb checkpoint genes compared with chemically induced liver tumors that developed mice with wild-type Trp53. CONCLUSIONS: Deletion of p53 from livers of mice is sufficient to induce tumor formation. The tumors have bilineal differentiation and dysregulation of Rb checkpoint genes.

Identification of small gains and losses in single cells after whole genome amplification on tiling oligo arrays.

Clinical DNA is often available in limited quantities requiring whole-genome amplification for subsequent genome-wide assessment of copy-number variation (CNV) by array-CGH. In pre-implantation diagnosis and analysis of micrometastases, even merely single cells are available for analysis. However, procedures allowing high-resolution analyses of CNVs from single cells well below resolution limits of conventional cytogenetics are lacking. Here, we applied amplification products of single cells and of cell pools (5 or 10 cells) from patients with developmental delay, cancer cell lines and polar bodies to various oligo tiling array platforms with a median probe spacing as high as 65 bp. Our high-resolution analyses reveal that the low amounts of template DNA do not result in a completely unbiased whole genome amplification but that stochastic amplification artifacts, which become more obvious on array platforms with tiling path resolution, cause significant noise. We implemented a new evaluation algorithm specifically for the identification of small gains and losses in such very noisy ratio profiles. Our data suggest that when assessed with sufficiently sensitive methods high-resolution oligo-arrays allow a reliable identification of CNVs as small as 500 kb in cell pools (5 or 10 cells), and of 2.6-3.0 Mb in single cells.

Mapping of balanced chromosome translocation breakpoints to the basepair level from microdissected chromosomes.

The analysis of structural variants associated with specific phenotypic features is promising for the elucidation of the function of involved genes. There is, however, at present no approach allowing the rapid mapping of chromosomal translocation breakpoints to the basepair level from a single chromosome. Here we demonstrate that we have advanced both the microdissection and the subsequent unbiased amplification to an extent that breakpoint mapping to the basepair level has become possible. As a case in point we analysed the two breakpoints of a t(7;13) translocation observed in a patient with split hand/foot malformation (SHFM1). The amplification products of the der(7) and of the der(13) were hybridized to custom-made arrays, enabling us to define primers at flanking breakpoint regions and thus to fine-map the breakpoints to the basepair level. Consequently, our results will also contribute to a further delineation of causative mechanisms underlying SHFM1 which are currently unknown.