Circ_0020460 drives tumorigenesis in cervical cancer through miR-485-3p sponging.

Deregulation of circular RNAs (circRNAs) is widely recognized in cancer progression. Our study aims to investigate the role of circ_0020460 in the development of cervical cancer (CC) and its potential mechanism of action. Quantitative real-time polymerase chain reaction (qRT-PCR) and western blot assays were used to detect the expression levels of circ_0020460, miR-485-3p and C-X-C motif chemokine ligand 1 (CXCL1). The roles of circ_0020460 on cell proliferation, cell migration, cell invasion, cell apoptosis, and angiogenesis were investigated using cell counting kit-8 (CCK-8) and Ethynyl deoxyuridine (Edu) assay, wound healing assay, transwell assay, flow cytometry assay, and tube formation assay, respectively. The putative relationship predicted by bioinformatics analysis was verified by dual-luciferase reporter assay and RNA immunoprecipitation (RIP) assay. Xenograft models were constructed to explore the role of circ_0020460 in vivo. The expression of circ_0020460 and CXCL1 expression were increased, while miR-485-3p expression was declined in CC tissues and cells. Circ_0020460 knockdown suppressed CC cell proliferation, cell migration, cell invasion, angiogenesis, and promoted cell apoptosis. Circ_0020460 functioned as a miR-485-3p sponge to inhibit miR-485-3p level, and the anti-cancer effects mediated by circ_0020460 knockdown were reversed by miR-485-3p inhibitor. MiR-485-3p bound to CXCL1 3' untranslated region (3'UTR) to degrade CXCL1 expression, and the anti-cancer effects of miR-485-3p restoration were impaired by CXCL1 overexpression. Circ_0020460 downregulation inhibited CC xenograft tumor growth. These results suggest that circ_0020460 promoted the malignant behavior of CC cells by modulating the miR-485-3p/CXCL1 axis.

DSM: Deep sequential model for complete neuronal morphology representation and feature extraction.

The full morphology of single neurons is indispensable for understanding cell types, the basic building blocks in brains. Projecting trajectories are critical to extracting biologically relevant information from neuron morphologies, as they provide valuable information for both connectivity and cell identity. We developed an artificial intelligence method, deep sequential model (DSM), to extract concise, cell-type-defining features from projections across brain regions. DSM achieves more than 90% accuracy in classifying 12 major neuron projection types without compromising performance when spatial noise is present. Such remarkable robustness enabled us to efficiently manage and analyze several major full-morphology data sources, showcasing how characteristic long projections can define cell identities. We also succeeded in applying our model to both discovering previously unknown neuron subtypes and analyzing exceptional co-expressed genes involved in neuron projection circuits.

Full-Spectrum Neuronal Diversity and Stereotypy through Whole Brain Morphometry.

We conducted a large-scale study of whole-brain morphometry, analyzing 3.7 peta-voxels of mouse brain images at the single-cell resolution, producing one of the largest multi-morphometry databases of mammalian brains to date. We spatially registered 205 mouse brains and associated data from six Brain Initiative Cell Census Network (BICCN) data sources covering three major imaging modalities from five collaborative projects to the Allen Common Coordinate Framework (CCF) atlas, annotated 3D locations of cell bodies of 227,581 neurons, modeled 15,441 dendritic microenvironments, characterized the full morphology of 1,891 neurons along with their axonal motifs, and detected 2.58 million putative synaptic boutons. Our analysis covers six levels of information related to neuronal populations, dendritic microenvironments, single-cell full morphology, sub-neuronal dendritic and axonal arborization, axonal boutons, and structural motifs, along with a quantitative characterization of the diversity and stereotypy of patterns at each level. We identified 16 modules consisting of highly intercorrelated brain regions in 13 functional brain areas corresponding to 314 anatomical regions in CCF. Our analysis revealed the dendritic microenvironment as a powerful method for delineating brain regions of cell types and potential subtypes. We also found that full neuronal morphologies can be categorized into four distinct classes based on spatially tuned morphological features, with substantial cross-areal diversity in apical dendrites, basal dendrites, and axonal arbors, along with quantified stereotypy within cortical, thalamic and striatal regions. The lamination of somas was found to be more effective in differentiating neuron arbors within the cortex. Further analysis of diverging and converging projections of individual neurons in 25 regions throughout the brain reveals branching preferences in the brain-wide and local distributions of axonal boutons. Overall, our study provides a comprehensive description of key anatomical structures of neurons and their types, covering a wide range of scales and features, and contributes to our understanding of neuronal diversity and its function in the mammalian brain.

Nature-based solutions: Establishing a comprehensive framework for addressing urban waterlogging management.

Due to the impact of global climate change, many cities in China have been hit by severe rainstorms, leading to increasingly frequent urban waterlogging disasters. In recent years, nature-based solutions (NbS) have received widespread attention and recognition, providing new ideas and approaches to addressing urban waterlogging issues. First, this article reviews the development process and concept of NbS and analyzes its core ideas and principles. Second, it analyzes the guiding role of NbS in urban waterlogging management and compares the commonalities and differences between NbS and three related waterlogging concepts. To ensure that urban waterlogging management is operational and dynamic, and that there is effective communication among stakeholders, this article proposes a comprehensive framework for the application of NbS in urban waterlogging management. Finally, this article analyzes the opportunities and potential of NbS applied to urban environmental issues. Integr Environ Assess Manag 2023;19:1414-1421. © 2023 SETAC.

Prognosis of solitary bone plasmacytoma of the extremities: A SEER-based study.

ABSTRACT: Due to the rarity of solitary bone plasmacytoma (SBP), few studies reported the prognosis and survival predictors of SBP, especially for patients with extremity SBP.A total of 552 patients with extremity SBP were identified from the Surveillance Epidemiology and Ends Results (SEER) database between 1973 and 2016. In order to obtain independent predictors of survival, we performed both univariate and multivariate analysis via Cox proportional hazards model. Additionally, we used the Kaplan-Meier method to construct survival curves.The mean and median age at diagnosis of all patients were 64 and 65 years, respectively. The ratio of male versus women was 1.3:1. Overall survival for this special population was 51.2% and 34.9% at 5 and 10 years, respectively. Cancer-specific survival (CSS) for this special population was 63.5% and 47.5% at 5 and 10 years, respectively. Age at diagnosis and radiotherapy treatment were found to be significant independent predictors of both overall survival and CSS. Additionally, multivariate analysis showed that year of diagnosis and marital status were significantly correlated with CSS.This is the first study to identify prognostic factors of extremity SBP by using the SEER database. Our findings highlight that radiotherapy is the mainstream treatment for extremity SBP. Additionally, age, year of diagnosis, and marital status were significant independent predictors of survival. Knowledge of these survival predictors may help clinicians provide appropriate management for extremity SBP patients.

LncRNA-000133 from secondary hair follicle of Cashmere goat: identification, regulatory network and its effects on inductive property of dermal papilla cells.

Long noncoding RNAs (lncRNAs), a class of non-protein conding RNAs > 200 nt in length, were thought to play critical roles in regulating the expression of protein-coding genes. Here, we identified and characterized a novel lncRNA-000133 from the secondary hair follicle (SHF) of cashmere goat with its ceRNA network analysis, as well as, its potential effects on inductive property of dermal papilla cells were evaluated through overexpression analysis. Expression analysis indicated that lncRNA-000133 had a significantly higher expression at anagen than that at telogen in SHF of Cashmere goat, suggesting that lncRNA-000133 might be involved in the reconstruction of SHF with the formation and growth of cashmere fiber. Taken together with methylation analysis, we showed that 5' regulatory region methylation of the lncRNA-000133 gene might be involved in its expression suppression in SHF of Cashmere goat. The ceRNA regulatory network showed that a rich and complex regulatory relationship between lncRNA-000133 and related miRNAs with their target genes. The overexpression of lncRNA-000133 led to a significant increasing in the relative expression of ET-1, SCF, ALP and LEF1 in dermal papilla cells suggesting that lncRNA-000133 appears to contribute the inductive property of dermal papilla cells.

An effective method for isolation of DNA from pig faeces and comparison of five different methods.

Polymerase chain reaction (PCR) detection of microorganism in faecal specimens is hampered by poor recovery of DNA and by the presence of PCR inhibitors. In this paper, we describe a new modified method for extracting PCR-quality microbial community DNA from pig faecal samples, which combines the pretreatment with polyformaldehyde, and subsequent DNA lysis in the presence of CTAB, salt, PVP, and beta-mercaptoethanol, followed by isolation of nucleic acids using chloroform (no phenol) based protocol. The method resulted in a 1.3- to 11-fold increase in DNA yield when compared to four other widely used methods. Genomic DNA extracted from all five methods was assessed by both agarose gel electrophoresis and polymerase chain reaction for amplification of 16S rDNA specific fragments. The results showed that the improved method represented a reproducible, simple, and rapid technique for routine DNA extraction from faecal specimens and was notably better than using the QIAamp DNA Stool Mini Kit.