In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.

Salmonella enterica serovar Typhimurium (S. Typhimurium) is a facultative intracellular pathogen that causes disease in a variety of hosts. S. Typhimurium actively invade host cells and typically reside within a membrane-bound compartment called the Salmonella-containing vacuole (SCV). The bacteria modify the fate of the SCV using two independent type III secretion systems (TTSS). TTSS are known to damage eukaryotic cell membranes and S. Typhimurium has been suggested to damage the SCV using its Salmonella pathogenicity island (SPI)-1 encoded TTSS. Here we show that this damage gives rise to an intracellular bacterial population targeted by the autophagy system during in vitro infection. Approximately 20% of intracellular S. Typhimurium colocalized with the autophagy marker GFP-LC3 at 1 h postinfection. Autophagy of S. Typhimurium was dependent upon the SPI-1 TTSS and bacterial protein synthesis. Bacteria targeted by the autophagy system were often associated with ubiquitinated proteins, indicating their exposure to the cytosol. Surprisingly, these bacteria also colocalized with SCV markers. Autophagy-deficient (atg5-/-) cells were more permissive for intracellular growth by S. Typhimurium than normal cells, allowing increased bacterial growth in the cytosol. We propose a model in which the host autophagy system targets bacteria in SCVs damaged by the SPI-1 TTSS. This serves to retain intracellular S. Typhimurium within vacuoles early after infection to protect the cytosol from bacterial colonization. Our findings support a role for autophagy in innate immunity and demonstrate that Salmonella infection is a powerful model to study the autophagy process.
Autophagy controls Salmonella infection in response to damage to the Salmonella-containing vacuole.

This paper examines the effect of one form of chronic stress--household crowding--on psychological well-being, as measured by multiple inverse indicators of psychological well-being. We rely on data from a large (n = 2017) random sample of households in Bangkok, Thailand, a context that has a higher level and broader range of crowding than typically found in the United States. Objective household crowding is found to be detrimental to psychological well-being, controlling for a number of background characteristics. The effect of objective crowding is mediated by subjective crowding, which has strong, consistent and direct detrimental effects on well-being. There is no evidence of a gender effect. Extended family households are not uncommon in Bangkok, but the effects of objective and subjective crowding are similar in both two- and three-generation households, as well as in one- and multiple-couple households. The argument that subjective crowding is an effect, rather than a cause, of psychological well-being is examined and rejected. The findings suggest that crowding, as a chronic source of stress, constitutes a major threat to psychological well-being. Although the empirical analyses are based on data from one city, we frame the issue of household crowding in a historical and theoretical context in order to suggest in which cultural settings household crowding is most likely to have detrimental effects on psychological well-being.
Chronic stress and psychological well-being: evidence from Thailand on household crowding.

Data visualization is an essential component of genomic data analysis. However, the size and diversity of the data sets produced by today's sequencing and array-based profiling methods present major challenges to visualization tools. The Integrative Genomics Viewer (IGV) is a high-performance viewer that efficiently handles large heterogeneous data sets, while providing a smooth and intuitive user experience at all levels of genome resolution. A key characteristic of IGV is its focus on the integrative nature of genomic studies, with support for both array-based and next-generation sequencing data, and the integration of clinical and phenotypic data. Although IGV is often used to view genomic data from public sources, its primary emphasis is to support researchers who wish to visualize and explore their own data sets or those from colleagues. To that end, IGV supports flexible loading of local and remote data sets, and is optimized to provide high-performance data visualization and exploration on standard desktop systems. IGV is freely available for download from http://www.broadinstitute.org/igv, under a GNU LGPL open-source license.
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration