Author Correction: Characterization of slow cycling corneal limbal epithelial cells identifies putative stem cell markers.

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Characterization of slow cycling corneal limbal epithelial cells identifies putative stem cell markers.

In order to identify reliable markers of corneal epithelial stem cells, we employed an inducible transgenic "pulse-chase" murine model (K5Tta × TRE-H2BGFP) to localize, purify, and characterize slow cycling cells in the cornea. The retention of GFP labeling in slowly dividing cells allowed for localization of these cells to the corneal limbus and their subsequent purification by FACS. Transcriptome analysis from slow cycling cells identified differentially expressed genes when comparing to GFP- faster-dividing cells. RNA-Seq data from corneal epithelium were compared to epidermal hair follicle stem cell RNA-Seq to identify genes representing common putative stem cell markers or determinants, which included Sox9, Fzd7, Actn1, Anxa3 and Krt17. Overlapping retention of GFP and immunohistochemical expression of Krt15, ΔNp63, Sox9, Actn1, Fzd7 and Krt17 were observed in our transgenic model. Our analysis presents an array of novel genes as putative corneal stem cell markers.

Social capital and disaster preparedness among low income Mexican Americans in a disaster prone area.

Examination of social capital and its relationship to disaster preparedness has grown in prominence partially due to world-wide need to effectively respond to terrorist attacks, viral epidemics, or natural disasters. Recent studies suggested that social capital may be related to a community's ability to plan for and respond to such disasters. Few studies, however, have examined social capital constructs among low income populations living in disaster prone areas and accounted for the influence of social capital at the individual and community level. We examined social capital as measured by perceived fairness, perceived civic trust, perceived reciprocity and group membership. We undertook a multistage random cluster survey in three coastal counties in Texas (U.S.) noted for their high levels of poverty. Individuals from 3088 households provided data on social capital, socioeconomic and demographic characteristics, and self-reported level of preparedness for a hurricane. We used multivariable logistic regression to test potential associations between social capital measures and disaster preparedness. After adjusting for age, gender, marital status, ethnicity, education, employment, household income, acculturation, self-reported health, special needs persons in household, household size, and distance to the shore we found a higher prevalence of preparedness among individuals who reported the highest perception of fairness [AOR = 3.12, 95% CI: (1.86, 5.21)] compared to those individuals who reported lowest perceptions of fairness. We also found a higher prevalence of preparedness [AOR = 2.06; 95% CI: (1.17, 3.62)] among individuals who reported highest perceptions of trust compared to individuals who reported lowest perceptions of trust. Perceived reciprocity and group membership were not associated with preparedness. These results extend previous findings on social capital and disaster preparedness and further characterize social capital's presence among a low income population living in a hurricane prone area.