Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm.

Whether your interests lie in scientific arenas, the corporate world, or in government, you have certainly heard the praises of big data: Big data will give you new insights, allow you to become more efficient, and/or will solve your problems. While big data has had some outstanding successes, many are now beginning to see that it is not the Silver Bullet that it has been touted to be. Here our main concern is the overall impact of big data; the current manifestation of big data is constructing a Maginot Line in science in the 21st century. Big data is not "lots of data" as a phenomena anymore; The big data paradigm is putting the spirit of the Maginot Line into lots of data. Big data overall is disconnecting researchers and science challenges. We propose No-Boundary Thinking (NBT), applying no-boundary thinking in problem defining to address science challenges.

No-boundary thinking in bioinformatics research.

Currently there are definitions from many agencies and research societies defining "bioinformatics" as deriving knowledge from computational analysis of large volumes of biological and biomedical data. Should this be the bioinformatics research focus? We will discuss this issue in this review article. We would like to promote the idea of supporting human-infrastructure (HI) with no-boundary thinking (NT) in bioinformatics (HINT).

Evidence for the presence of mutagenic arylamines in human breast milk and DNA adducts in exfoliated breast ductal epithelial cells.

Aromatic and heterocyclic amines are ubiquitous environmental mutagens present in combustion emissions, fried meats, and tobacco smoke, and are suspect human mammary carcinogens. To determine the presence of arylamines in breast tissue and fluid, we examined exfoliated breast ductal epithelial cells for DNA adducts and matched human milk samples for mutagenicity. Breast milk was obtained from 50 women who were 4-6 weeks postpartum, and exfoliated epithelial-cell DNA was evaluated for bulky, nonpolar DNA adducts by (32)P-postlabeling and thin-layer chromatography. Milk was processed by acid hydrolysis, and the extracted organics were examined in the standard plate-incorporation Ames Salmonella assay using primarily strain YG1024, which detects frameshift mutations and overexpresses aryl amine N-acetyltransferase. DNA adducts were identified in 66% of the specimens, and bulky adducts migrated in a pattern similar to that of 4-aminobiphenyl standards. The distribution of adducts did not vary by NAT2 genotype status. Of whole milk samples, 88% (22/25) had mutagenic activity. Among the samples for which we had both DNA adduct and mutagenicity data, 58% (14/19) of the samples with adducts were also mutagenic, and 85% (11/13) of the mutagenic samples had adducts. Quantitatively, no correlation was observed between the levels of adducts and the levels of mutagenicity. Separation of the milk showed that mutagenic activity was found in 69% of skimmed milk samples but in only 29% of the corresponding milk fat samples, suggesting that the breast milk mutagens were moderately polar molecules. Chemical fractionation showed that mutagenic activity was found in 67% (4/6) of the basic fractions but in only 33% (2/6) of acidic samples, indicating that the mutagens were primarily basic compounds, such as arylamines. Although pilot in nature, this study corroborates previous findings of significant levels of DNA adducts in breast tissue and mutagenicity in human breast milk and indicates that breast milk mutagens may be moderately polar basic compounds, such as arylamines.