G protein‐coupled estrogen receptor‐1 (GPER), a member of the G protein‐coupled receptor (GPCR) superfamily, mediates estrogen‐induced proliferation of normal and malignant breast epithelial cells. ...However, its role in breast cancer stem cells (BCSCs) remains unclear. Here we showed greater expression of GPER in BCSCs than non‐BCSCs of three patient‐derived xenografts of ER−/PR+ breast cancers. GPER silencing reduced stemness features of BCSCs as reflected by reduced mammosphere forming capacity in vitro, and tumor growth in vivo with decreased BCSC populations. Comparative phosphoproteomics revealed greater GPER‐mediated PKA/BAD signaling in BCSCs. Activation of GPER by its ligands, including tamoxifen (TMX), induced phosphorylation of PKA and BAD‐Ser118 to sustain BCSC characteristics. Transfection with a dominant‐negative mutant BAD (Ser118Ala) led to reduced cell survival. Taken together, GPER and its downstream signaling play a key role in maintaining the stemness of BCSCs, suggesting that GPER is a potential therapeutic target for eradicating BCSCs.
What's new?
G protein‐coupled estrogen receptor‐1 (GPER) mediates estrogen‐induced proliferation of normal and malignant breast epithelial cells. However, the role of GPER in breast cancer stem cells (BCSC) biology remains unclear. Here, using patient‐derived xenografts of ER–/PR+ breast cancer, the authors found higher expression of GPER in BCSCs than non‐BCSCs. Moreover, the results indicated that stemness features were sustained via GPER‐mediated PKA/BAD phosphorylation. Stimulation by the GPER ligand tamoxifen enhanced BCSC cell viability and population and BAD phosphorylation. The findings revealed a vital role of GPER‐mediated signaling pathways in BCSC survival, suggesting GPER as a potential therapeutic target for eradicating BCSCs.
Recently, interest in aluminium ion batteries with aluminium anodes, graphite cathodes and ionic liquid electrolytes has increased; however, much remains to be done to increase the cathode capacity ...and to understand details of the anion-graphite intercalation mechanism. Here, an aluminium ion battery cell made using pristine natural graphite flakes achieves a specific capacity of ∼110 mAh g
with Coulombic efficiency ∼98%, at a current density of 99 mA g
(0.9 C) with clear discharge voltage plateaus (2.25-2.0 V and 1.9-1.5 V). The cell has a capacity of 60 mAh g
at 6 C, over 6,000 cycles with Coulombic efficiency ∼ 99%. Raman spectroscopy shows two different intercalation processes involving chloroaluminate anions at the two discharging plateaus, while C-Cl bonding on the surface, or edges of natural graphite, is found using X-ray absorption spectroscopy. Finally, theoretical calculations are employed to investigate the intercalation behaviour of choloraluminate anions in the graphite electrode.
Aims
This study aimed at evaluating the effect of family factors on the occurrence of Internet addiction and determining whether Internet addiction could make any difference in the family function.
...Methods
A total of 2293 adolescents in grade 7 participated in the study. We assessed their Internet addiction, family function, and family factors with a 1‐year follow up.
Results
In the prospective investigation, inter‐parental conflict predicted the incidence of Internet addiction 1 year later in forward regression analysis, followed by not living with mother and allowance to use Internet more than 2 h per day by parents or caregiver. The inter‐parental conflict and allowance to use Internet more than 2 h per day also predicted the incidence in girls. Not cared for by parents and family APGAR score predicted the incidence of Internet addiction among boys. The prospective investigation demonstrated that the incidence group had more decreased scores on family APGAR than did the non‐addiction group in the 1‐year follow‐up. This effect was significant only among girls.
Conclusions
Inter‐parental conflict and inadequate regulation of unessential Internet use predicted risk of Internet addiction, particularly among adolescent girls. Family intervention to prevent inter‐parental conflict and promote family function and Internet regulation were necessary to prevent Internet addiction. Among adolescents with Internet addiction, it is necessary to pay attention to deterioration of family function, particularly among girls.
Intratumoural hypoxia induces HIF-1α and promotes tumour progression, metastasis and treatment resistance. HIF-1α stability is regulated by VHL-E3 ligase-mediated ubiquitin-dependent degradation; ...however, the hypoxia-regulated deubiquitinase that stabilizes HIF-1α has not been identified. Here we report that HAUSP (USP7) deubiquitinase deubiquitinates HIF-1α to increase its stability, induce epithelial-mesenchymal transition and promote metastasis. Hypoxia induces K63-linked polyubiquitinated HAUSP at lysine 443 to enhance its functions. Knockdown of HAUSP decreases acetylation of histone 3 lysine 56 (H3K56Ac). K63-polyubiquitinated HAUSP interacts with a ubiquitin receptor CBP to specifically mediate H3K56 acetylation. ChIP-seq analysis of HAUSP and HIF-1α binding reveals two motifs responsive to hypoxia. HectH9 is the E3 ligase for HAUSP and a prognostic marker together with HIF-1α. This report demonstrates that hypoxia-induced K63-polyubiquitinated HAUSP deubiquitinates HIF-1α and causes CBP-mediated H3K56 acetylation on HIF-1α target gene promoters to promote EMT/metastasis, further defining HAUSP as a therapeutic target in hypoxia-induced tumour progression.
Summary
Background
Chronic hepatitis B virus (HBV) infection is a great health burden with geographical variations.
Aims
To explore genetic variants associated with chronic HBV infection.
Methods
The ...study included 15 352 participants seropositive for HBV core antibodies in Taiwan Biobank. Among them, 2591 (16.9%) seropositive for HBV surface antigen (HBsAg) were defined as having chronic HBV infection. All participants were examined for whole‐genome genotyping by Axiom‐Taiwan Biobank Array. The human leucocyte antigen (HLA) imputation was performed after identification of the variants within the region. Logistic regressions were used to estimate odds ratios (ORs) with 95% confidence intervals. Correlations of different HLA allele frequencies with HBsAg seroprevalence were evaluated across worldwide populations by Pearson correlation coefficients. Epitope prediction was performed for HLA alleles using NetMHCIIpan method.
Results
Located within a cluster of 450 single nucleotide polymorphisms in HLA class II, rs7770370 (P = 2.73 × 10−35) was significantly associated with HBV chronicity (Pcorrected < 8.6 × 10−8). Imputation analyses showed that HLA‐DPA1*02:02 and HLA‐DPB1*05:01 were associated with chronic HBV, with adjusted ORs of 1.43 (1.09‐1.89) and 1.61 (1.29‐2.01). These allele frequencies were positively correlated with global HBsAg seroprevalence, with R of 0.75 and 0.62 respectively (P < 0.05). HLA‐DRB1*13:02, HLA‐DQA1* 01:02 and HLA‐DQB1*06:09 associated with HBV chronicity negatively, with adjusted ORs of 0.31 (0.17‐0.58), 0.70 (0.56‐0.87) and 0.33 (0.18‐0.63). These HLA alleles had various binding affinities to the predicted epitopes derived from HBV nucleocapsid protein.
Conclusions
HLA class II variants are relevant for chronicity after HBV acquisition.
Spread‐F (SF) is a feature that can be visually observed on ionograms when the ionosonde signals are significantly impacted by plasma irregularities in the ionosphere. Depending on the scale of the ...plasma irregularities, radio waves of different frequencies are impacted differently when the signals pass through the ionosphere. An automated method for detecting SF in ionograms is presented in this study. Through detecting the existence of SF in ionograms, we can help identify instances of plasma irregularities that are potentially affecting the high‐frequency radio‐wave systems. The ionogram images from Jicamarca observatory in Peru, during the years 2008–2019, are used in this study. Three machine learning approaches have been carried out: supervised learning using Support Vector Machines, and two neural network‐based learning methods: autoencoder and transfer learning. Of these three methods, the transfer learning approach, which uses convolutional neural network architectures, demonstrates the best performance. The best existing architecture that is suitable for this problem appears to be the ResNet50. With respect to the training epoch number, the ResNet50 showed the greatest change in the metric values for the key metrics that we were tracking. Furthermore, on a test set of 2050 ionograms, the model based on the ResNet50 architecture provides an accuracy of 89%, recall of 87%, precision of 95%, as well as Area Under the Curve of 96%. The work also provides a labeled data set of around 28,000 ionograms, which is extremely useful for the community for future machine learning studies.
Key Points
Adopt machine learning techniques to detect spread‐F in ionograms
Make an annotated data set of around 28,000 ionograms publicly available
Hepatitis D virus (HDV) infection increases the risk of hepatocellular carcinoma (HCC) in the natural course of chronic hepatitis B (CHB) patients. Its role in patients treated with ...nucleotide/nucleoside analogues (NAs) is unclear. We aimed to study the role of hepatitis D in the development of HCC in CHB patients treated with NAs. Altogether, 1349 CHB patients treated with NAs were tested for anti-HDV antibody and RNA. The incidence and risk factors of HCC development were analyzed. Rates of anti-HDV and HDV RNA positivity were 2.3% and 1.0%, respectively. The annual incidence of HCC was 1.4 per 100 person-years after a follow-up period of over 5409.5 person-years. The strongest factor association with HCC development was liver cirrhosis (hazard ratio HR/95% confidence interval CI 9.98/5.11-19.46, P < 0.001), followed by HDV RNA positivity (HR/ CI 5.73/1.35-24.29, P = 0.02), age > 50 years old (HR/CI 3.64/2.03-6.54, P < 0.001), male gender (HR/CI 2.69/1.29-5.60, P: 0.01), and body mass index (BMI, HR/CI 1.11/1.03-1.18, P = 0.004). The 5-year cumulative incidence of HCC was 7.3% for patients with HDV RNA negativity compared to that of 22.2% for patients with HDV RNA positivity (P = 0.01). In the subgroup of cirrhotic patients, the factors associated with HCC development were HDV RNA positivity (HR/CI 4.45/1.04-19.09, P = 0.04) and BMI (HR/CI 1.11/1.03-1.19, P = 0.01). HDV viremia played a crucial role in HCC development in CHB patients who underwent NA therapy.
Retinoic acid‐induced 1 (RAI1) encodes a transcriptional regulator critical for brain development and function. RAI1 haploinsufficiency in humans causes a syndromic autism spectrum disorder known as ...Smith−Magenis syndrome (SMS). The neuroanatomical distribution of RAI1 has not been quantitatively analyzed during the development of the prefrontal cortex, a brain region critical for cognitive function and social behaviors and commonly implicated in autism spectrum disorders, including SMS. Here, we performed comparative analyses to uncover the evolutionarily convergent and divergent expression profiles of RAI1 in major cell types during prefrontal cortex maturation in common marmoset monkeys (Callithrix jacchus) and mice (Mus musculus). We found that while RAI1 in both species is enriched in neurons, the percentage of excitatory neurons that express RAI1 is higher in newborn mice than in newborn marmosets. By contrast, RAI1 shows similar neural distribution in adult marmosets and adult mice. In marmosets, RAI1 is expressed in several primate‐specific cell types, including intralaminar astrocytes and MEIS2‐expressing prefrontal GABAergic neurons. At the molecular level, we discovered that RAI1 forms a protein complex with transcription factor 20 (TCF20), PHD finger protein 14 (PHF14), and high mobility group 20A (HMG20A) in the marmoset brain. In vitro assays in human cells revealed that TCF20 regulates RAI1 protein abundance. This work demonstrates that RAI1 expression and protein interactions are largely conserved but with some unique expression in primate‐specific cells. The results also suggest that altered RAI1 abundance could contribute to disease features in disorders caused by TCF20 dosage imbalance.
The SMS protein RAI1 shows primate‐specific expression patterns in newborn marmoset cortices. RAI1 forms an evolutionarily stable protein complex with TCF20, HMG20A, and PHF14 in the cortices of marmoset monkeys and mice. The protein stability of RAI1 is regulated by a paralogous protein TCF20.
Celastrol is a quinone-methide triterpenoid isolated from the root extracts of Tripterygium wilfordii (Thunder god vine). Although celastrol possesses multiple bioactivities, the potent toxicity and ...rare solubility in water hinder its clinical application. Biotransformation of celastrol using either whole cells or purified enzymes to form less toxic and more soluble derivatives has been proven difficult due to its potent antibiotic and enzyme-conjugation property. The present study evaluated biotransformation of celastrol by four glycosyltransferases from Bacillus species and found one glycosyltransferase (BsGT110) from Bacillus subtilis with significant activity toward celastrol. The biotransformation metabolite was purified and identified as celastrol-29-O-β-glucoside by mass and nuclear magnetic resonance spectroscopy. Celastrol-29-O-β-glucoside showed over 53-fold higher water solubility than celastrol, while maintained 50% of the free radical scavenging activity of celastrol. When using zebrafish as the in vivo animal model, celastrol-29-O-β-glucoside exhibited 50-fold less toxicity than celastrol. To our knowledge, the present study is not only the first report describing the biotransformation of celastrol, but also the first one detailing a new compound, celastrol-29-O-β-glucoside, that is generated in the biotransformation process. Moreover, celastrol-29-O-β-glucoside may serve as a potential candidate in the future medicine application due to its higher water solubility and lower toxicity.
Automated identification (auto-ID) has been widely used in practice for more than five decades, beginning with the commercial use of barcodes in the early 1970s. More recently, since about 2003, RFID ...(Radio Frequency IDentification) use has seen widespread adoption. While these automated identification technologies help improve convenience, effectiveness, and efficiency, associated vulnerabilities need to be carefully considered to weigh their advantages against their disadvantages. By its very nature, automated identification has the potential to expose its subject to privacy and security risks. We consider specific vulnerabilities that are associated with barcode and RFID to identify related attack scenarios and discuss means to address such risks and attacks.
•We consider commonly used auto-ID technologies: barcode and RFID.•We identify possible security risks with barcode and RFID systems.•We identify solutions that address these risks.•We discuss related implications for practitioners and researchers.
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