Multiple Facial Basal Cell Carcinoma With Xeroderma Pigmentosum.

Multiple basal cell carcinomas are rare in children and adolescents. Xeroderma pigmentosum (XP) is a rare autosomal recessive hereditary disease characterized by photosensitivity, changes in skin pigmentation, and early onset of skin cancer. XP is extremely rare in clinical practice, with only a few cases worldwide. XP is clinically incurable. The main goal of treating this disease is to diagnose as early as possible, educate patients to strictly avoid ultraviolet radiation for life, and follow up regularly to treat skin malignant tumors in time. The authors report a 15-year-old boy with facial multiple basal cell carcinoma with XP. Its medical history, clinical features, auxiliary examination, and surgical treatment process have great reference value for the in-depth understanding of the disease. The authors will discuss how to delay the progression of the disease and treat the existing lesions in different clinical stages of the disease in combination with the existing relevant literature.

Robust Self-Supported SnO2-Mn2O3@CC Electrode for Efficient Electrochemical Degradation of Cationic Blue X-GRRL Dye.

Exploration of highly efficient and robust catalyst is pivotal for electrocatalytic degradation of dye wastewater, but it still is a challenge. Here, we develop a three-dimensional self-supported SnO2-Mn2O3 hybrid nanosheets grown on carbon cloth (noted by SnO2-Mn2O3@CC) electrode via a simple hydrothermal method and annealing treatment. Benefitting from the interlaced nanosheets architecture that enlarges the surface area and the synergetic component effect that accelerates the interfacial electronic transfer, SnO2-Mn2O3@CC electrode exhibits a superior electrocatalytic degradation efficiency for cationic blue X-GRRL dye in comparison with the single metal oxide electrode containing SnO2@CC and Mn2O3@CC. The degradation efficiency of cationic blue X-GRRL on SnO2-Mn2O3@CC electrode can reach up to 97.55% within 50 min. Furthermore, self-supported architecture of nanosheets on carbon cloth framework contributes to a robust stability compared with the traditional electrode via the multiple dip/brush coating accompanied by the thermal decomposition method. SnO2-Mn2O3@CC electrode exhibits excellent recyclability, which can still retain a degradation efficiency of 94.12% after six cycles. This work may provide a new pathway for the design and exploration of highly efficient and robust electrooxidation catalysts for dye degradation.

Hybrid 1D/3D-Structured Perovskite as a Highly Selective and Stable Sensor for NO2 Detection at Room Temperature.

To exploit high-performance and stable sensing materials with a room working temperature is pivotal for portable and mobile sensor devices. However, the common sensors based on metal oxide semiconductors usually need a higher working temperature (usually above 300 °C) to achieve a good response toward gas detection. Currently, metal halide perovskites have begun to rise as a promising candidate for gas monitoring at room temperature but suffer phase instability. Herein, we construct 1D/3D PyPbI3/FA0.83Cs0.17PbI3 (denoted by PyPbI3/FACs) bilayer perovskite by post-processing spin-coating Pyrrolidinium hydroiodide (PyI) salt on top of 3D FACs film. Benefitting from the 1D PyPbI3 coating layer, the phase stability of 1D/3D PyPbI3/FACs significantly improves. Simultaneously, the gas sensor based on the 1D/3D PyPbI3/FACs bilayer perovskite presents a superior selectivity and sensitivity toward NO2 detection at room temperature, with a low detection limit of 220 ppb. Exposed to a 50 ± 3% relative humidity (RH) level environment for a consecutive six days, the 1D/3D PyPbI3/FACs perovskite-based sensor toward 10 ppm NO2 can still maintain a rapid response with a slight attenuation. Gas sensors based on hybrid 1D/3D-structured perovskite in this work may provide a new pathway for highly sensitive and stable gas sensors in room working temperature, accelerating its practical application and portable device.

Genome-wide identification of small heat shock protein (HSP20) homologs in three cucurbit species and the expression profiles of CsHSP20s under several abiotic stresses.

Small heat shock protein (HSP20) genes play important roles in biological processes of plants. In this study, a total of 47 CsHSP20 genes, 45 CmHSP20 genes, and 47 ClHSP20 genes were genome-wide identified by 'hmmsearch' and BLASTP using the latest versions of cucumber, melon, and watermelon genomes, respectively. According to the phylogenetic relationships and predicted subcellular localizations, HSP20s of these three cucurbit species were divided into 8 subfamilies (CI-CIV, CP, ER, M, and PX), in which some HSP20s were closely related with each other based on the collinearity analysis. Specific expression patterns of CsHSP20s were checked in 10 different tissues of cucumber plants. RNA-seq analysis of transcript levels, combined with cis-acting elements and GO enrichment analysis suggested that CsHSP20s were responsive to several different types of abiotic stresses, including chilling, temperature and photoperiod, high temperature and high humidity, and salinity. In conclusion, results of this work not only provided valuable information for exploring the regulating mechanisms of CsHSP20s in responding to abiotic stresses in cucumber, but also shed light on the potentially evolutional relations among cucumber, melon, and watermelon from a perspective of comparative genomics that specified on HSP20 gene families.

Genomic Prediction and the Practical Breeding of 12 Quantitative-Inherited Traits in Cucumber (Cucumis sativus L.).

Genomic prediction is an effective way for predicting complex traits, and it is becoming more essential in horticultural crop breeding. In this study, we applied genomic prediction in the breeding of cucumber plants. Eighty-one cucumber inbred lines were genotyped and 16,662 markers were identified to represent the genetic background of cucumber. Two populations, namely, diallel cross population and North Carolina II population, having 268 combinations in total were constructed from 81 inbred lines. Twelve cucumber commercial traits of these two populations in autumn 2018, spring 2019, and spring 2020 were collected for model training. General combining ability (GCA) models under five-fold cross-validation and cross-population validation were applied to model validation. Finally, the GCA performance of 81 inbred lines was estimated. Our results showed that the predictive ability for 12 traits ranged from 0.38 to 0.95 under the cross-validation strategy and ranged from -0.38 to 0.88 under the cross-population strategy. Besides, GCA models containing non-additive effects had significantly better performance than the pure additive GCA model for most of the investigated traits. Furthermore, there were a relatively higher proportion of additive-by-additive genetic variance components estimated by the full GCA model, especially for lower heritability traits, but the proportion of dominant genetic variance components was relatively small and stable. Our findings concluded that a genomic prediction protocol based on the GCA model theoretical framework can be applied to cucumber breeding, and it can also provide a reference for the single-cross breeding system of other crops.

Genome-Wide Identification and Characterization of KNOTTED-Like Homeobox (KNOX) Homologs in Garlic (Allium sativum L.) and Their Expression Profilings Responding to Exogenous Cytokinin and Gibberellin.

Garlic (Allium sativum L.) is an important vegetable and is cultivated and consumed worldwide for its economic and medicinal values. Garlic cloves, the major reproductive and edible organs, are derived from the axillary meristems. KNOTTED-like homeobox (KNOX) proteins, such as SHOOT MERISTEM-LESS (STM), play important roles in axillary meristem formation and development. However, the KNOX proteins in garlic are still poorly known. Here, 10 AsKNOX genes, scattered on 5 of the 8 chromosomes, were genome-wide identified and characterized based on the newly released garlic genome. The typical conserved domains of KNOX proteins were owned by all these 10 AsKNOX homologs, which were divided into two Classes (Class I and Class II) based on the phylogenetic analysis. Prediction and verification of the subcellular localizations revealed the diverse subcellular localization of these 10 AsKNOX proteins. Cis-element prediction, tissue expression analysis, and expression profilings in responding to exogenous GA3 and 6-BA showed the potential involvement of AsKNOX genes in the gibberellin and cytokinin signaling pathways. Overall, the results of this work provided a better understanding of AsKNOX genes in garlic and laid an important foundation for their further functional studies.

Knockdown of CRAD suppresses the growth and promotes the apoptosis of human lung cancer cells via Claudin 4.

Non-small cell lung cancer (NSCLC) is one of the most common causes of cancer-related mortality globally. However, the mechanism underlying NSCLC is not fully understood. Here, we investigated the role of cancer-related regulator of actin dynamics (CRAD) in NSCLC. We showed that CRAD was up-regulated in human NSCLC tissues and lung cancer cell lines. Lentivirus-mediated knockdown of CRAD repressed the proliferation and colony growth of A549 and H1299 cells. Apoptosis was enhanced by CRAD silencing in both cells, implicating that CRAD might maintain the survival of lung cancer cells. Microarray and bioinformatic assay revealed that CRAD directly or indirectly regulated diverse genes, including those involved in cell cycle and DNA damage repair. qRT-PCR and Western blot results confirmed the dysregulated genes as shown in microarray analysis. Claudin 4 was up-regulated in CRAD silenced A549 cells. The knockdown of Claudin 4 blocked the effects of CRAD on the expression of cell cycle and apoptosis effectors and enhanced the viability of A549 cells with CRAD down-regulation. Taken together, our findings demonstrate that CRAD acts as an oncogene in NSCLC at least partly through repressing Claudin 4.