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Purpose: The Ontario Breast Screening Program (OBSP) offers free screening mammograms every 2 years, to women aged 50–74. Study objectives were to determine demographic characteristics associated with the adherence to OBSP and if women screened in the OBSP have a lower stage at diagnosis than non-screened eligible women. Methods: We used the Ontario cancer registry (OCR) to identify 48,927 women, aged 51–74 years, diagnosed with breast cancer between 2010 and 2017. These women were assigned as having undergone adherent screening (N = 26,108), non-adherent screening (N = 6546) or not-screened (N = 16,273) in the OBSP. We used multinomial logistic regression to investigate the demographic characteristics associated with screening behaviour, as well as the association between screening status and stage at diagnosis. Results: Among women with breast cancer, those living in rural areas (versus the largest urban areas) had a lower odds of not being screened (odds ratio [OR] 0.73, 95% confidence interval [CI] 0.68, 0.78). Women in low-income (versus high-income) communities were more likely not to be screened (OR 1.42, 95% CI 1.33, 1.51). When stratified, the association between income and screening status only held in urban areas. Non-screened women were more likely to be diagnosed with stage II (OR 1.91, 95% CI 1.82, 2.01), III (OR 2.96, 95% CI 2.76, 3.17), or IV (OR 8.96, 95% CI 7.94, 10.12) disease compared to stage I and were less likely to be diagnosed with ductal carcinoma in situ (DCIS) (OR 0.91, 95% CI 0.84–0.98). Conclusions: This study suggests that targeting OBSP recruitment efforts to lower income urban communities could increase screening rates. OBSP adherent women were more likely to be diagnosed with earlier stage disease, supporting the value of this initiative and those like it. [ABSTRACT FROM AUTHOR]

Converting cellulosic biomass to ethanol involves the enzymatic hydrolysis of cellulose and the fermentation of the resulting glucose. The yeast Saccharomyces cerevisiae is naturally ethanologenic, but lacks the enzymes necessary to degrade cellulose to glucose. Towards the goal of engineering S. cerevisiae for hydrolysis of and ethanol production from cellulose, 35 fungal β-glucosidases (BGL) from the BGL1 and BGL5 families were screened for their ability to be functionally expressed and displayed on the cell surface. Activity assays revealed that the BGL families had different substrate specificities, with only the BGL1s displaying activity on their natural substrate, cellobiose. However, growth on cellobiose showed no correlation between the specific growth rates, the final cell titer, and the level of BGL1 activity that was expressed. One of the BGLs that expressed the highest levels of cellobiase activity, Aspergillus niger BGL1 (Anig-Bgl101), was then used for further studies directed at developing an efficient cellobiose-fermenting strain. Expressing Anig-Bgl101 from a plasmid yielded higher ethanol levels when secreted into the medium rather than anchored to the cell surface. In contrast, ethanol yields from anchored and secreted Anig-Bgl101 were comparable when integrated on the chromosome. Flow cytometry analysis revealed that chromosomal integration of Anig-Bgl101 resulted in a higher percentage of the cell population that displayed the enzyme but with overall lower expression levels. [ABSTRACT FROM AUTHOR]

We constructed error-correcting DNA barcodes that allow one run of a massively parallel pyrosequencer to process up to 1,544 samples simultaneously. Using these barcodes we processed bacterial 16S rRNA gene sequences representing microbial communities in 286 environmental samples, corrected 92% of sample assignment errors, and thus characterized nearly as many 16S rRNA genes as have been sequenced to date by Sanger sequencing. [ABSTRACT FROM AUTHOR]

The original version of this Comment contained errors in the legend of Figure 2, in which the locations of the fifteenth and sixteenth GBA members were incorrectly given as '(15) Australian Genome Foundry, Macquarie University; (16) Australian Foundry for Advanced Biomanufacturing, University of Queensland.'. The correct version replaces this with '(15) Australian Foundry for Advanced Biomanufacturing (AusFAB), University of Queensland and (16) Australian Genome Foundry, Macquarie University'. This has been corrected in both the PDF and HTML versions of the Comment. [ABSTRACT FROM AUTHOR]

Biofoundries provide an integrated infrastructure to enable the rapid design, construction, and testing of genetically reprogrammed organisms for biotechnology applications and research. Many biofoundries are being built and a Global Biofoundry Alliance has recently been established to coordinate activities worldwide. [ABSTRACT FROM AUTHOR]