Long noncoding RNAs (lncRNAs) are increasingly recognized to play major regulatory roles in development and disease. To identify novel regulators in breast biology, we identified differentially regulated lncRNAs during mouse mammary development. Among the highest and most differentially expressed was a transcript (Zfas1) antisense to the 59 end of the protein-coding gene Znfx1. In vivo, Zfas1 RNA is localized within the ducts and alveoli of the mammary gland. Zfas1 intronically hosts three previously undescribed C/D box snoRNAs (SNORDs): Snord12, Snord12b, and Snord12c. In contrast to the general assumption that noncoding SNORD-host transcripts function only as vehicles to generate snoRNAs, knockdown of Zfas1 in a mammary epithelial cell line resulted in increased cellular proliferation and differentiation, while not substantially altering the levels of the SNORDs. In support of an independent function, we also found that Zfas1 is extremely stable, with a half-life >16 h. Expression analysis of the SNORDs revealed these were expressed at different levels, likely a result of distinct structures conferring differential stability. While there is relatively low primary sequence conservation between Zfas1 and its syntenic human ortholog ZFAS1, their predicted secondary structures have similar features. Like Zfas1, ZFAS1 is highly expressed in the mammary gland and is down-regulated in breast tumors compared to normal tissue. We propose a functional role for Zfas1/ ZFAS1 in the regulation of alveolar development and epithelial cell differentiation in the mammary gland, which, together with its dysregulation in human breast cancer, suggests ZFAS1 as a putative tumor suppressor gene.

Motivation: In light of the increasing adoption of targeted resequencing (TR) as a cost-effective strategy to identify disease-causing variants, a robust method for copy number variation (CNV) analysis is needed to maximize the value of this promising technology.Results: We present a method for CNV detection for TR data, including whole-exome capture data. Our method calls copy number gains and losses for each target region based on normalized depth of coverage. Our key strategies include the use of base-level log-ratios to remove GC-content bias, correction for an imbalanced library size effect on log-ratios, and the estimation of log-ratio variations via binning and interpolation. Our methods are made available via CONTRA (COpy Number Targeted Resequencing Analysis), a software package that takes standard alignment formats (BAM/SAM) and outputs in variant call format (VCF4.0), for easy integration with other next-generation sequencing analysis packages. We assessed our methods using samples from seven different target enrichment assays, and evaluated our results using simulated data and real germline data with known CNV genotypes.Availability and implementation: Source code and sample data are freely available under GNU license (GPLv3) at http://contra-cnv.sourceforge.net/Contact: Jason.Li@petermac.orgSupplementary information: Supplementary data are available at Bioinformatics online.

There is increasing evidence showing that the stromal cells surrounding cancer epithelial cells, rather than being passive bystanders, might have a role in modifying tumor outgrowth. The molecular basis of this aspect of carcinoma etiology is controversial. Some studies have reported a high frequency of genetic aberrations in carcinoma-associated fibroblasts (CAFs), whereas other studies have reported very low or zero mutation rates. Resolution of this contentious area is of critical importance in terms of understanding both the basic biology of cancer as well as the potential clinical implications of CAF somatic alterations. We undertook genome-wide copy number and loss of heterozygosity (LOH) analysis of CAFs derived from breast and ovarian carcinomas using a 500K SNP array platform. Our data show conclusively that LOH and copy number alterations are extremely rare in CAFs and cannot be the basis of the carcinomapromoting phenotypes of breast and ovarian CAFs. © 2008 Nature Publishing GroupCorrespondence should be addressed to I.G.C. ian.campbell@petermac.org. AUTHOR CONTRIBUTIONS I.G.C., I.H. and W.Q. designed the study and wrote the paper. W.Q. undertook the bulk of the experimental work including tissue microdissection, SNP genotyping and microsatellite analysis. K.P. provided cell lines, academic support and assisted in manuscript preparation. A.S., E.R.T., M.R. and K.L.G. assisted in SNP genotyping. However, not all studies have identified genetic alterations in CAFs; for example, one study did not find any clonally selected somatic genetic alterations in CAFs separated from fresh breast cancer biopsies using array comparative genomic hybridization (CGH) and SNP array analysis 17 , although these CAFs were epigenetically distinct from those from normal breast tissue, as demonstrated by subsequent genome-wide DNA methylation studies 18 .The evidence for somatic genetic alterations as important mediators of the CAF phenotype is controversial and conflicting. We hypothesized that the contradictory data may in part be a reflection of inherent technical limitations of the various methodologies used. Therefore, we took advantage of innovative SNP array-based technologies 19 to investigate in detail the genomic integrity of CAFs microdissected from fresh frozen primary human ovarian and breast cancers as well as short-term cultures of primary breast CAFs.We assessed the sensitivity of the Affymetrix 500K SNP array platform to detect copy number and LOH in the context of normal DNA contamination in a mixing experiment using tumor epithelial cell DNA from a microdissected primary ovarian cancer that was mixed with various ratios of matched normal DNA. This tumor harbors a complex copy number profile on chromosome 17, including regions of high level copy number gain and regions of LOH with and without associated copy number loss. As shown in Supplementary Figure 1a online, the single copy number gain was clearly visible at 70% tumor DNA, and the high level gain was still discernible at 25% tumor DNA. LOH w...