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Candida albicans is a major cause of fungal infections in humans and plays a significant role in fungal-related deaths due to its ability to form filaments and mask its cell wall, which are controlled by multiple signaling pathways. However, the relationship between mitochondria, filamentation, and cell wall masking in C. albicans is not fully understood. Therefore, we first determined that the mitochondrial anchor protein Num11 greatly affects filamentation and cell wall masking in C. albicans, both of which are crucial factors for infection. We then discovered that the loss of Num11 increases the ingestion of macrophages and decreases pathogenic activities in vivo. Interestingly, we found that the anchor protein Num1 can regulate the cAMP-PKA pathway to promote the growth of hyphal forms, influencing the Cdc42-Cek1 MAPK pathway to affect the production and presentation of polysaccharide components in the cell wall. Through these powerful mechanisms, the mitochondrial anchor protein Num11 significantly contributes to the pathogenicity of C. albicans. Our research also highlights the potential of Num1 as a new target for antifungal agents in the face of the ongoing challenge of drug-resistant fungi.

In comparison to vaginal deliveries, caesarean (C-section) deliveries have been linked to poorer health outcomes for both mother and infant; nevertheless, the rate of C-section deliveries continues to rise worldwide (Keag et al., 2018; Negrini et al., 2021). Using the Natality Data (2020) from the US National Center for Health Statistics (NCHS) (N=3,619,826), this study analyzes structural inequalities and systemic racism that exist within ubiquitous social institutions, such as hospitals (Bonilla-Silva, 1997; Meyer & Rowan, 1977). We estimate multinomial logistical regression models to predict differences in risk of C-section deliveries across racialized and non-racialized mothers, as well as for immigrant women. We also investigate the effect of source of payment for the birth, both as a signal of socioeconomic status of the mother and cost to the hospital. This data set uses the following exclusion criteria: breech/transverse births, non-hospital births, "other" methods of payment. "Other" method of payment refers to any payment method used for the delivery other than private insurance, Medicaid, or self-pay. Moreover, any records missing data on race of mother were also excluded.

Files in Fig1: IF: This dataset contains raw data for analyzing the relationship between ETS1 expression in Immunofluorescence in HRP, HRGECs, and HRMC cells.TIFF format. Wb: This dataset contains raw data for analyzing the relationship between ETS1 expression in Western blot in HRP, HRGECs, and HRMC cells.TIFF format. Files in Fig2: Wb (siGATA2):This dataset contains raw data for analyzing the relationship between the expression of GATA2 and ETS1 in Western blot after small interference with GATA2 in HRPs cells.TIFF format. The raw data were quantitatively analyzed by Image J software, and the t-test was performed by GraphPad Prism, and the results were statistically significant. Wb (Overexpression of GATA2):This dataset contains raw data to analyze the relationship between GATA2 and ETS1 expression by Western blot after overexpression of GATA2 in HRPs cells. TIFF format. The raw data were quantitatively analyzed by Image J software and t-test by GraphPad Prism with statistically significant results. Files in Fig3: Chip: This dataset contains raw data and is a chip analysis of the affinity of GATA2 to the ETS1 promoter. TIFF format.

This dataset contains data from 1,329 Muslim consumers concerning animosity (religious, war-related, and economic animosity), moral concerns (perceived egregiousness and guilt), political consumerism (boycott and buycott behaviors), and psychological well-being (peace of mind).

This repository provides all the necessary scripts and data to replicate the results presented in the study "Market-based Climate Policy with Fluctuating Fossil Energy Prices." The replication covers figures, tables, energy price shock estimation, and appendix plots.

The methane concentration and its stable carbon isotope ratios of seawater samples collected from the eastern Southwest Indian Ridge

Supplementary Table 2 for manuscript "Factors associated with time to treatment for definitive surgery for Sebaceous Carcinoma"

The data displayed 390 Differential metabolites (DMs) up-regulated (Col-0-LP vs fer-4-LP, VIP>1, FC>1.5, P<0.05) in the positive ion mode and 483 DMs up-regulated in the negative ion mode.

Fish identification and counting are important tools for managing the stock, production and commercialisation of farmed fish. In commercial establishments, counting fish fingerlings has traditionally been carried out manually, which can cause stress to the animals and labour, as well as low accuracy. Automation using computer vision and deep learning models is increasingly being explored. In machine learning for fish detection and counting, a data set with images of the specimens is needed to train the neural network. This dataset with species from the Serrasalmidae family (round fish) will be relevant in studies involving learning and training in different types of neural networks for counting and detection. The images were captured at a fish retailer. The company provided the location, the container and the specimens, with an average length of 3.5 cm. 10 Serrasalmidae fingerlings were placed in a blue-bottomed water container measuring 40 cm in diameter, 20 cm high and with a total capacity of 25 litres. The camera used to capture the images was fixed at the top, at a height of 60 cm from the container. The camera used was an iPhone XR with 12 megapixels and a resolution of 4608 × 2592 to capture the images. A total of 1,000 images were captured. The images present in the dataset are comprehensive, some have obstructions, low sharpness, and the water used in the container comes from the very water recirculation system where the fry were grown, which makes the database more robust and closer to reality.