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Simple Summary: Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, but effective biomarkers has yet been developed. Here, we identified ATP1A1 as prognostic marker and therapeutic target via integrated analysis of DNA methylome and transcriptome of TNBC. These data will provide new insight into not only developing specific biomarker for TNBC but also understanding TNBC pathogenesis. Dysregulated DNA methylation in cancer is critical in the transcription machinery associated with cancer progression. Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype, but no treatment targeting TNBC biomarkers has yet been developed. To identify specific DNA methylation patterns in TNBC, methyl-binding domain protein 2 (MBD) sequencing data were compared in TNBC and the three other major breast cancer subtypes. Integrated analysis of DNA methylation and gene expression identified a gene set showing a correlation between DNA methylation and gene expression. ATPase Na+/K+-transporting subunit alpha 1 (ATP1A1) was found to be specifically hypomethylated in the coding sequence (CDS) region and to show increased expression in TNBC. The Cancer Genome Atlas (TCGA) database also showed that hypomethylation and high expression of ATP1A1 were strongly associated with poor survival in patients with TNBC. Furthermore, ATP1A1 knockdown significantly reduced the viability and tumor-sphere formation of TNBC cells. These results suggest that the hypomethylation and overexpression of ATP1A1 could be a prognostic marker in TNBC and that the manipulation of ATP1A1 expression could be a therapeutic target in this disease. [ABSTRACT FROM AUTHOR]

We explore systematically the shocked gas in the first Galactic quadrant of the Milky Way using the United Kingdom Infrared Telescope (UKIRT) Wide-field Infrared Survey for Fe+ (UWIFE). The UWIFE survey is the first imaging survey of the Milky Way in the [Fe  ii ] 1.644 μm emission line and covers the Galactic plane in the first Galactic quadrant (7° < |$\mathit {l}$| < 62°; |$|b| $| ≲ 1 |$_{.}^{\circ }$| 5). We identify 204 extended ionized Fe objects (IFOs) using a combination of a manual and automatic search. Most of the IFOs are detected for the first time in the [Fe  ii ] 1.644 μm line. We present a catalogue of the measured sizes and fluxes of the IFOs and searched for their counterparts by performing positional cross-matching with known sources. We found that IFOs are associated with supernova remnants (25), young stellar objects (100), H  ii regions (33), planetary nebulae (17), and luminous blue variables (4). The statistical and morphological properties are discussed for each of these. [ABSTRACT FROM AUTHOR]

The local confinement effect, which can generate a high concentration of hydroxide ions and reaction intermediates near the catalyst surface, is an important strategy for converting CO2 into multi‐carbon products in electrocatalytic CO2 reduction. Therefore, understanding how the shape and dimension of the confinement geometry affect the product selectivity is crucial. In this study, we report for the first time the effect of the shape (degree of confinement) and dimension of the confined space on the product selectivity without changing the intrinsic property of Cu. We demonstrate that geometry influences the outcomes of products, such as CH4, C2H4, and EtOH, in different ways: the selectivity of CH4 and EtOH is affected by shape, while the selectivity of C2H4 is influenced by dimension of geometry predominantly. These phenomena are demonstrated, both experimentally and through simulation, to be induced by the local confinement effect within the confined structure. Our geometry model could serve as basis for designing the confined structures tailored for the production of specific products. [ABSTRACT FROM AUTHOR]

Highly selective electrocatalytic CO2 reduction for CO production has attracted tremendous attention for achieving the forthcoming goals of carbon neutrality and widespread industrial utilization and recycling of carbon. Among various approaches, the structural control of the catalyst is particularly interesting because of the facile control of CO2 reduction conditions, such as reaction media and reaction pathways. Thus far, a wide range of nanostructured catalysts, including Au needle tips, Au nanowires, and Au wrinkles, have been used for the enhancement of the selectivity of CO production. In this study, an electrocatalyst with a hierarchical nanostructure for the highly selective production of CO is reported. This hierarchical structure is fabricated by the deposition of Au via e-beam evaporation on a dendritic fibrous nanosilica (KCC-1) template, which is a spherical silica particle consisting of uniformly distributed center-radial fibers. The conversion efficiency of this catalyst is strongly affected by the thickness of the Au deposited on the KCC-1 template, and the highest CO selectivity of ∼98% (at −0.5 V vs. RHE) is obtained at an optimum Au thickness of 50 nm. According to the CO2 electrocatalytic reduction results obtained from KCC-1 with dendritic fibers and a conventional spherical particle without the fibers under various electrolyte conditions, such selectivity enhancement of Au on the KCC-1 template is attributed to the increase in the local pH near the hierarchical catalyst surface. This work provides potential promising templates that exhibit a unique nanostructure for efficient electrocatalysis. [ABSTRACT FROM AUTHOR]

This study developed an ecological momentary assessment (EMA)-triggered text message library based on the behavior change wheel framework to encourage exercise engagement in patients with peripheral artery disease (PAD). This study was conducted in three steps. In Step 1, semi-structured interviews were conducted with 15 patients with PAD. Their accounts of their exercise experiences revealed six barriers and three facilitators through thematic analysis. In Step 2, based on the findings from the prior step, the EMA survey was developed; its items included barriers to exercise, PAD-related leg symptoms, and general conditions. In Step 3, intervention functions to overcome exercise barriers were mapped, and 120 text messages were generated. Responses to the exercise barriers in the EMA survey triggered the automatic text messages. Additional studies are needed to examine the end-user acceptability of the text message library and the effectiveness of EMA-triggered text message interventions. [ABSTRACT FROM AUTHOR]