Higher alcohol intake may modify the association between mammographic density and breast cancer: an analysis of three case-control studies.

Alcohol consumption and mammographic density are established risk factors for breast cancer. This study examined whether the association of mammographic density with breast cancer varies by alcohol intake. Mammographic density was assessed in digitized images for 1207 cases and 1663 controls from three populations (Japan, Hawaii, California) using a computer-assisted method. Associations were estimated by logistic regression. When comparing ever to never drinking, mean density was similar and consumption was not associated with breast cancer risk. However, within the Hawaii/Japan subset, women consuming >1 drink/day had a non-significantly elevated relative risk compared to never drinkers. Also in the Hawaii/Japan population, alcohol intake only modified the association between mammographic density and breast cancer in women consuming >1 drink/day (p(interaction)=0.05) with significant risk estimates of 3.65 and 6.58 for the 2nd and 3rd density tertiles as compared to 1.57 and 1.61 for never drinkers in Hawaii/Japan. Although these findings suggest a stronger association between mammographic density and breast cancer risk for alcohol consumers, the small number of cases requires caution in interpreting the results.

Direct multiplexed measurement of gene expression with color-coded probe pairs.

We describe a technology, the NanoString nCounter gene expression system, which captures and counts individual mRNA transcripts. Advantages over existing platforms include direct measurement of mRNA expression levels without enzymatic reactions or bias, sensitivity coupled with high multiplex capability, and digital readout. Experiments performed on 509 human genes yielded a replicate correlation coefficient of 0.999, a detection limit between 0.1 fM and 0.5 fM, and a linear dynamic range of over 500-fold. Comparison of the NanoString nCounter gene expression system with microarrays and TaqMan PCR demonstrated that the nCounter system is more sensitive than microarrays and similar in sensitivity to real-time PCR. Finally, a comparison of transcript levels for 21 genes across seven samples measured by the nCounter system and SYBR Green real-time PCR demonstrated similar patterns of gene expression at all transcript levels.

POSaM: a fast, flexible, open-source, inkjet oligonucleotide synthesizer and microarrayer.

DNA arrays are valuable tools in molecular biology laboratories. Their rapid acceptance was aided by the release of plans for a pin-spotting microarrayer by researchers at Stanford. Inkjet microarraying is a flexible, complementary technique that allows the synthesis of arrays of any oligonucleotide sequences de novo. We describe here an open-source inkjet arrayer capable of rapidly producing sets of unique 9,800-feature arrays.

Quantitative analysis of liver protein expression during hibernation in the golden-mantled ground squirrel.

Mammals that enter deep hibernation experience extreme reductions in body temperature and in metabolic, respiratory, and heart rates for several weeks at a time. Survival of these extremes likely entails a highly regulated network of tissue- and time-specific gene expression patterns that remain largely unknown. To date, studies to identify differentially-expressed genes have employed a candidate gene approach or in a few cases broader unbiased screens at the RNA level. Here we use a proteomic approach to compare and identify differentially expressed liver proteins from two seasonal stages in the golden-mantled ground squirrel (summer and entrance into torpor) using two-dimensional gels followed by MS/MS. Eighty-four two-dimensional gel spots were found that quantitatively alter with the hibernation season, 68 of which gave unambiguous identifications based on similarity to sequences in the available mammalian database. Based on what is known of these proteins from prior research, they are involved in a variety of cellular processes including protein turnover, detoxification, purine biosynthesis, gluconeogenesis, lipid metabolism and mobility, ketone body formation, cell structure, and redox balance. A number of the enzymes found to change seasonally are known to be either rate-limiting or first enzymes in a metabolic pathway, indicating key roles in metabolic control. Functional roles are proposed to explain the changes seen in protein levels and their potential influence on the phenotype of hibernation.