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Empathic function, which is primarily manifested by facial imitation, is believed to play a pivotal role in interpersonal emotion regulation for mood reinstatement. To explore this association and its neural substrates, we performed a questionnaire survey (study l) to identify the relationship between empathy and interpersonal emotion regulation; and a task-mode fMRI study (study 2) to explore how facial imitation, as a fundamental component of empathic processes, promotes the interpersonal emotion regulation effect. Study 1 showed that affective empathy was positively correlated with interpersonal emotion regulation. Study 2 showed smaller negative emotions in facial imitation interpersonal emotion regulation (subjects imitated experimenter's smile while followed the interpersonal emotion regulation guidance) than in normal interpersonal emotion regulation (subjects followed the interpersonal emotion regulation guidance) and Watch conditions. Mirror neural system (e.g. inferior frontal gyrus and inferior parietal lobe) and empathy network exhibited greater activations in facial imitation interpersonal emotion regulation compared with normal interpersonal emotion regulation condition. Moreover, facial imitation interpersonal emotion regulation compared with normal interpersonal emotion regulation exhibited increased functional coupling from mirror neural system to empathic and affective networks during interpersonal emotion regulation. Furthermore, the connectivity of the right orbital inferior frontal gyrus-rolandic operculum lobe mediated the association between the accuracy of facial imitation and the interpersonal emotion regulation effect. These results show that the interpersonal emotion regulation effect can be enhanced by the target's facial imitation through increased functional coupling from mirror neural system to empathic and affective neural networks.
Assuntos
Regulação Emocional , Humanos , Mapeamento Encefálico/métodos , Comportamento Imitativo/fisiologia , Imageamento por Ressonância Magnética/métodos , Empatia , Neuroimagem Funcional , Emoções/fisiologia , Expressão FacialRESUMO
BACKGROUND: Individuals with low socioeconomic status (SES) are at a higher risk of developing depression. However, evidence on the role of cardiovascular health (CVH) in this chain is sparse and limited. The purpose of this research was to assess the mediating role of Life's Essential 8 (LE8), a recently updated measurement of CVH, in the association between SES and depression according to a nationally representative sample of adults. METHODS: Data was drawn from the National Health and Nutrition Examination Survey (NHANES) in 2013-2018. Multivariate logistic regression analysis was applied to analyze the association of SES (measured via the ratio of family income to poverty (FIPR), occupation, educational level, and health insurance) and LE8 with clinically relevant depression (CRD) (evaluated using the Patient Health Questionnaire (PHQ-9)). Multiple linear regression analysis was performed to analyze the correlation between SES and LE8. Mediation analysis was carried out to explore the mediating effect of LE8 on the association between SES and CRD. Moreover, these associations were still analyzed by sex, age, and race. RESULTS: A total of 4745 participants with complete PHQ-9 surveys and values to calculated LE8 and SES were included. In the fully adjusted model, individuals with high SES had a significantly higher risk of CRD (odds ratio = 0.21; 95% confidence interval: 0.136 to 0.325, P < 0.01) compared with those with low SES. Moreover, LE8 was estimated to mediate 22.13% of the total association between SES and CRD, and the mediating effect of LE8 varied in different sex and age groups. However, the mediating effect of LE8 in this chain was significant in different sex, age, and racial subgroups except for Mexican American (MA) individuals. CONCLUSION: The results of our study suggest that LE8 could mediate the association between SES and CRD. Additionally, the mediating effect of LE8 in this chain could be influenced by the race of participants.
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Doenças Cardiovasculares , Análise de Mediação , Adulto , Humanos , Estados Unidos/epidemiologia , Inquéritos Nutricionais , Depressão/epidemiologia , Classe Social , Pobreza , Fatores de RiscoRESUMO
The instability of blue emitters is one of the shortcomings of organic light-emitting diodes (OLEDs) in industrial applications. This instability is intrinsically associated with the basic transitions and reactions in the excited states. In this work, using the framework of Fermi's golden rule and DFT/TDDFT, the mechanisms of the transitions and reactions of a typical boron based multi-resonance thermally activated delayed fluorescence emitter involving the excited states were investigated. A dynamic stability mechanism describing recycling between the dissociation of the molecular structure in the T1 state and restoration in the S0 state dominated by steric effects was discovered. Applying knowledge of this mechanism, a small modification was made to the molecular structure, and the stability was increased without degrading other luminescence properties such as the luminescence color, FWHM, reverse intersystem crossing, fluorescence quantum yield, and internal quantum yield.
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Correction for 'Crystalline matrix-activated spin-forbidden transitions of engineered organic crystals' by Heming Zhang et al., Phys. Chem. Chem. Phys., 2023, 25, 11102-11110, DOI: https://doi.org/10.1039/d3cp00187c.
RESUMO
Spin-forbidden excitation is an efficient way to obtain triplet excitons directly from the ground state of organic semiconductors. According to perturbation theory under the framework of Fermi's golden rule, this process requires spin-orbit coupling (SOC) and the transition dipole moment (TDM) to be combined through an intermediate state that mixes the initial and final states. While previous research has focused mostly on enhancing SOC, little attention has been paid to engineering the coupling between SOC and the TDM in organic materials. In this study, a series of engineered crystals were designed by doping guest molecules into host organic crystals. The confinement of the guest molecule within a crystalline matrix of the host provides a strong intermolecular interaction to couple both SOC and the TDM. This in turn activates the spin-forbidden excitation directly from the ground state to a "dark" triplet state. Based on a comparison of different engineered crystals, strong intermolecular interaction is identified to induce a distortion of the ligands and further enhancing the spin-forbidden excitation. This work outlines a strategy for designing spin-forbidden excitation.
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BACKGROUND: Survival analysis is an important part of cancer studies. In addition to the existing Cox proportional hazards model, deep learning models have recently been proposed in survival prediction, which directly integrates multi-omics data of a large number of genes using the fully connected dense deep neural network layers, which are hard to interpret. On the other hand, cancer signaling pathways are important and interpretable concepts that define the signaling cascades regulating cancer development and drug resistance. Thus, it is important to investigate potential associations between patient survival and individual signaling pathways, which can help domain experts to understand deep learning models making specific predictions. RESULTS: In this exploratory study, we proposed to investigate the relevance and influence of a set of core cancer signaling pathways in the survival analysis of cancer patients. Specifically, we built a simplified and partially biologically meaningful deep neural network, DeepSigSurvNet, for survival prediction. In the model, the gene expression and copy number data of 1967 genes from 46 major signaling pathways were integrated in the model. We applied the model to four types of cancer and investigated the influence of the 46 signaling pathways in the cancers. Interestingly, the interpretable analysis identified the distinct patterns of these signaling pathways, which are helpful in understanding the relevance of signaling pathways in terms of their application to the prediction of cancer patients' survival time. These highly relevant signaling pathways, when combined with other essential signaling pathways inhibitors, can be novel targets for drug and drug combination prediction to improve cancer patients' survival time. CONCLUSION: The proposed DeepSigSurvNet model can facilitate the understanding of the implications of signaling pathways on cancer patients' survival by integrating multi-omics data and clinical factors.
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Aprendizado Profundo , Neoplasias , Humanos , Neoplasias/genética , Neoplasias/mortalidade , Redes Neurais de Computação , Modelos de Riscos Proporcionais , Análise de SobrevidaRESUMO
The balance of Th17/Treg plays an important role in hepatic ischemia-reperfusion (I/R) injury. Glycolysis and glutaminolysis for energy metabolism governs the differentiate of CD 4+ T-cells to Th17/Treg. Metformin can regulate glucose metabolism in the liver, but its protective effect on I/R liver injury and its effect on Th17/Treg balancestill unknown. In this study, the I/R liver injury rat model and the primary hepatocyte hypoxia/reoxygenation injury model were established. The biochemical indexes, inflammatory factor indexes, Th17/Treg balance and energy metabolism were evaluated. RNA-seq and gene knockout cells were used to investigated the target protein of metformin. The results showed that metformin could effectively improve liver injury caused by I/R, significantly inhibit the glycolysis, improve the Th17/Treg balance, and inhibit the expression of inflammatory factors. RNA-seq results showed that TIGAR was a possible regulatory site of metformin. However, the protective effect and the regulating effect of Th17/Treg balance by metformin in TIGAR knock-out cells were disappeared. In conclusion, metformin could regulate TIGAR inhibit glycolysis then regulate Th17/Treg balance, inhibit the release of liver inflammatory factors, and finally play a role in inhibiting the occurrence of liver injury caused by ischemia-reperfusion.
Assuntos
Proteínas Reguladoras de Apoptose/metabolismo , Proteínas Reguladoras de Apoptose/fisiologia , Glicólise , Fígado/irrigação sanguínea , Fígado/metabolismo , Metformina/farmacologia , Metformina/uso terapêutico , Monoéster Fosfórico Hidrolases/metabolismo , Monoéster Fosfórico Hidrolases/fisiologia , Traumatismo por Reperfusão/tratamento farmacológico , Traumatismo por Reperfusão/genética , Traumatismo por Reperfusão/metabolismo , Linfócitos T Reguladores/efeitos dos fármacos , Linfócitos T Reguladores/metabolismo , Células Th17/efeitos dos fármacos , Células Th17/metabolismo , Animais , Modelos Animais de Doenças , Metabolismo Energético , Hepatócitos/metabolismo , Masculino , Ratos WistarRESUMO
We report a combination of experimental and computational mechanistic studies for the photoreduction of CO2 to CO with water, catalyzed by single-atom Fe supported on graphitic carbon nitride (g-C3N4). Density functional theory (DFT) and time-dependent DFT (TDDFT) methods were utilized to explore the behavior of single-atom Fe in g-C3N4, which is of vital importance to the understanding of the CO2 reduction reaction (CO2RR) mechanism. The calculation results reveal that the rate-limiting step of the hydrogen-bonded complex in the absence of Fe atoms is the cleavage of C-O bonds in COOH radicals during the whole CO2RR, which includes the photophysical and photochemical processes. The presence of Fe atoms not only activated CO2 in the ground state and increased the rate constant of the limiting step in the photophysical process, but also functioned as the catalytic active center, lowering the reaction barrier of the C-O bond cleavage in COOHË in the photochemical process and resulting in improved photocatalytic activity. In addition, DFT calculations further demonstrated that the electron and proton transfer involved in the photophysical and photochemical processes is closely related to and induced by the hydrogen bonds in the excited state.
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Oxaliplatin-based chemotherapy is the current standard of care in adjuvant therapy for advanced colorectal cancer (CRC). But acquired resistance to oxaliplatin eventually occurs and becoming a major cause of treatment failure. Thus, there is an unmet need for developing new chemical entities (NCE) as new therapeutic candidates to target chemotherapy-resistant CRC. Novel Pt(II) complexes were designed and synthesized as cationic monofunctional oxaliplatin derivatives for DNA platination-mediated tumor targeting. The complex Ph-glu-Oxa sharing the same chelating ligand of diaminocyclohexane (DACH) with oxaliplatin but is equally potent in inhibiting the proliferation of HT29 colon cancer cells and its oxaliplatin-resistant phenotype of HT29/Oxa. The in vivo therapeutic potential of Ph-glu-Oxa was confirmed in oxaliplatin-resistant xenograft model demonstrating the reversibility of the drug resistance by the new complex and the efficacy was associated with the unimpaired high intracellular drug accumulation in HT29/Oxa. Guanosine-5'-monophosphate (5'-GMP) reactivity, double-strand plasmid DNA cleavage, DNA-intercalated ethidium bromide (EB) fluorescence quenching and atomic force microscopy (AFM)-mediated DNA denaturing studies revealed that Ph-glu-Oxa was intrinsically active as DNA-targeting agent. The diminished susceptibility of the complex to glutathione (GSH)-mediated detoxification, which confers high intracellular accumulation of the drug molecule may play a key role in maintaining cytotoxicity and counteracting oxaliplatin drug resistance.
Assuntos
Antineoplásicos/química , Complexos de Coordenação/química , Resistencia a Medicamentos Antineoplásicos/efeitos dos fármacos , Oxaliplatina/química , Platina/química , Triazóis/química , Animais , Antineoplásicos/metabolismo , Antineoplásicos/farmacologia , Sítios de Ligação , Linhagem Celular Tumoral , Sobrevivência Celular/efeitos dos fármacos , Neoplasias Colorretais/metabolismo , Neoplasias Colorretais/patologia , Complexos de Coordenação/metabolismo , Complexos de Coordenação/farmacologia , DNA/química , DNA/metabolismo , Desenho de Fármacos , Ensaios de Seleção de Medicamentos Antitumorais , Glutationa/química , Humanos , Camundongos , Camundongos Nus , Simulação de Dinâmica Molecular , Conformação de Ácido Nucleico , Oxaliplatina/farmacologiaRESUMO
The brain frontoparietal regions and the functional communications between them are critical in supporting working memory and other executive functions. The functional connectivity between frontoparietal regions are modulated by working memory loads, and are shown to be modulated by a third brain region in resting-state. However, it is largely unknown whether the third-region modulations remain the same during working memory tasks or were largely modulated by task demands. In the current study, we collected functional MRI (fMRI) data when the subjects were performing n-back tasks and in resting-state. We first used a block-designed localizer to define the frontoparietal regions that showed higher activations in the 2-back than the 1-back condition. Next, we performed physiophysiological interaction (PPI) analysis using left and right middle frontal gyrus (MFG) and superior parietal lobule (SPL) regions, respectively, in three continuous-designed runs of resting-state, 1-back, and 2-back conditions. No regions showed consistent modulatory interactions with the seed pairs in the three conditions. Instead, the anterior cingulate cortex (ACC) showed different modulatory interactions with the right MFG and SPL among the three conditions. While the increased activity of the ACC was associated with decreased functional coupling between the right MFG and SPL in resting-state, it was associated with increased functional coupling in the 2-back condition. The observed task modulations support the functional significance of the modulations of the ACC on frontoparietal connectivity.
Assuntos
Lobo Frontal/fisiologia , Giro do Cíngulo/fisiologia , Memória/fisiologia , Vias Neurais/fisiologia , Lobo Temporal/fisiologia , Mapeamento Encefálico , Função Executiva , Feminino , Lateralidade Funcional/fisiologia , Humanos , Imageamento por Ressonância Magnética , Masculino , Desempenho Psicomotor , Descanso/fisiologia , Adulto JovemRESUMO
The objective of this study was to evaluate the effects of a three-strain yogurt formulation in slow-transit constipation (STC) patients. Each individual in both treatment groups consumed 250 mL of the formulated yogurt daily for a week (7 days), and fecal samples were collected for gut microbiota and short-chain fatty acid (SCFA) analyses. A significant increase in the defection frequency (p < 0.001) and bacterial diversity (p=0.027) at the 100% sequence homology level and a decrease in the concentrations of acetic acid (p=0.014), propionic acid (p=0.019), and butanoic acid (p=0.005) were observed after the STC patients consumed three-strain yogurt formulation. In addition, the consumption of the three-strain yogurt formulation significantly altered the composition of the intestinal bacteria in the STC patients. The relative abundances of 23 genera in the top dominating genera were altered significantly after the STC patients consumed the yogurt. In summary, the consumption of 250 mL day- the three-strain yogurt formulation described in this study can play a role in improving the symptoms of STC.
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A recent study has described the normal vaginal bacterial community in giant pandas, but there is a lack of knowledge of the fungal community residing in the vagina of giant pandas. In order to comprehensively understand the vaginal fungal microbial diversity and abundance in giant pandas, high throughput sequencing was used to analyse the ITS1 region, based on thirteen samples taken from the pandas' vaginas, which were grouped by sampling points and age. The results showed that the most abundant phyla were Basidiomycota (73.37%), followed by Ascomycota (20.04%), Zygomycota (5.23%), Glomeromycota (0.014%) and Chytridiomycota (0.006%). At the genus level, Guehomyces (37.92%) was the most abundant, followed by Cladosporium (9.072%), Trichosporon (6.2%) and Mucor (4.97%). Furthermore, Candida only accounted for a low percentage of the vaginal fungal community. With the saturation of rarefaction curves and fungal diversity indices, the samples from Dujiangyan and Chungking Safari Park (DC group) showed a higher fungal species richness and diversity than other living environments. Shannon diversity indices showed significant difference between group WL (Wolong nature reserve) and DC (Pâ¯<â¯.05). Additionally, a higher diversity was found in ten to fifteen years old (Group 2) than other groups. Group 2 and Group 3 displayed significant differences in the diversities of their vaginal fungal communities (Pâ¯<â¯.05). These data that has been collected from this research will be helpful for further study to improve the reproductive status of giant pandas.
Assuntos
Fungos/classificação , Fungos/genética , Micobioma/genética , Vagina/microbiologia , Envelhecimento , Animais , Biodiversidade , DNA Intergênico/genética , Feminino , Fungos/isolamento & purificação , Sequenciamento de Nucleotídeos em Larga Escala , UrsidaeRESUMO
Escherichia coli (E. coli) is considered as a common opportunistic pathogen, which causes seriously intestinal infections to giant pandas (Ailuropoda melanoleuca) and other animals. The aim of this investigation was to characterize the antimicrobial resistance and integron gene cassettes in E. coli isolated from the faeces of giant pandas in China. A total of 89 E. coli were isolated, after diagnosis of isolates and genomes were extracted. All the isolates were screened for the presence of related drug-resistance genes and integron gene cassettes through the Polymerase Chain Reaction (PCR) and sequencing. In addition, antimicrobial resistance testing was performed according to the standard disk diffusion method (CLSI 2013). The results demonstrated that all the isolates were multi-drug resistance (MDR). High resistance proportions of the E. coli isolates were to streptomycin (93%), cefazolin (90%), amikacin (75%), tetracycline (65%), ampicillin (62%), cefotaxime and trimethoprim-sulfamethoxazole (54%, each). With respect to the various resistance genes; blaCTX-M, sul1, ant (3')-Ia, tetA, qnrB, tetE, floR, aac (6')-Ib, sul2, rmtA, cmlA, rmtB and tetC were identified with the respective frequencies of 44%, 45%, 38%, 37%, 35%, 27%, 26%, 20%, 18%, 15%, 10%, 7% and 4%. None of the isolates was positive for qnrA and cfr genes. Moreover, a further investigation of integron revealed that the emergence of class 1 and 2 integrons were in 47% and 8% isolates, respectively. While class 3 integron was not screened. Six types of containing in class 1 integron specific gene cassettes (dfrA12-orfF-aadA2, dfrA17-aadA5, aadA1, aadA5, dfrA1 and dfrA7) were identified. However, only one gene cassette (dfrA1-sat2-aadA1) was detected in class 2 integron. These finding emphasize that a high level of E. coli isolates harbored antibiotics resistance and integron gene cassettes, which may bring so many potential threats to the health of giant pandas.
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Farmacorresistência Bacteriana Múltipla , Infecções por Escherichia coli/veterinária , Escherichia coli/efeitos dos fármacos , Genes Bacterianos , Integrons , Ursidae , Animais , Antibacterianos/farmacologia , China , Testes de Sensibilidade a Antimicrobianos por Disco-Difusão , Escherichia coli/isolamento & purificação , Infecções por Escherichia coli/microbiologia , Frequência do Gene , Reação em Cadeia da Polimerase , Análise de Sequência de DNARESUMO
A novel, Gram-stain-negative, aerobic, rod-shaped, motile and moderately halophilic bacterium, designated strain LCB169T, was isolated from a saline soil sample from Gansu Province, PR China. The cells of LCB169T grew at 10-52 °C (optimum 30 °C), at pH 6.0-10.0 (optimum pH 8.0) and in the presence of 0-17â% (w/v) NaCl (optimum 10-15â%). Phylogenetic analysis based on 16S rRNA gene sequences and concatenated 16S rRNA, gyrB and rpoD genes sequences revealed that LCB169T represented a member of the genus Halomonas in the class Gammaproteobacteria. The most closely related species were Halomonas daqingensis DQD2-30T (98.0â% 16S rRNA gene sequence similarity), Halomonas kenyensis AIR-2T (97.8â%) and Halomonas desiderata FB2T (97.5â%). DNA-DNA relatedness values between LCB169T and H. daqingensis CGMCC 1.6443T, H. desiderata DSM 9502T and H. kenyensis DSM 17331T were 33, 35 and 38â%, respectively. The polar lipids were identified as diphosphatidylglycerol, phosphatidylglycerol, phosphatidylethanolamine, phosphatidylcholine and three unidentified phospholipids. The major fatty acids were C18â:â1ω7c, C16â:â0, C16â:â1ω7c and C12â:â0 3-OH. The genomic DNA G+C content was 66.1 mol% and the predominant respiratory quinone was Q-9. On the basis of the results of phenotypic, phylogenetic and chemotaxonomic analyses and DNA-DNA hybridization relatedness values, LCB169T is considered to represent a novel species of the genus Halomonas, for which the name Halomonas saliphila sp. nov. is proposed. The type strain is LCB169T (=CGMCC 1.15818T=KCTC 52618T).
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Halomonas/classificação , Filogenia , Salinidade , Microbiologia do Solo , Técnicas de Tipagem Bacteriana , Composição de Bases , China , DNA Bacteriano/genética , Ácidos Graxos/química , Halomonas/genética , Halomonas/isolamento & purificação , Hibridização de Ácido Nucleico , Fosfolipídeos/química , RNA Ribossômico 16S/genética , Análise de Sequência de DNA , Vitamina K 2/análogos & derivados , Vitamina K 2/químicaRESUMO
An endophytic actinobacterium, strain A251T, was isolated from the root of Populus adenopoda Maxim and subjected to characterization using polyphasic taxonomy. Analysis of the 16S rRNA gene sequence revealed that the isolate represented a member of the phylogenetic cluster of the genus Actinocorallia and was most closely related to Actinocorallia aurantiaca JCM 8201T (98.0â%) and Actinocorallia libanotica IFO 10495T (98.0â%). DNA-DNA hybridization values between A251T and these strains were 41.2â% and 45.0â%, respectively. The G+C content of the DNA was 71.5 mol%. Major fatty acids were C16â:â0, C16â:â1ω7c and C18â:â1ω9c. The peptidoglycan diamino acid of A251T was meso-diaminopimelic acid and the whole-cell hydrolysates contained glucose and ribose. The major menaquinones were MK-9(H4) and MK-9(H6). The phospholipid profile included diphosphatidylglycerol, phosphatidylethanolamine, phosphatidylinositol, an undefined aminophospholipid and two undefined phospholipids. DNA-DNA hybridization data in combination with differences in the biochemical and physiological properties, indicated that A251T should be classified as representing a novel species within the genus Actinocorallia, for which the name Actinocorallia populi sp. nov. is proposed, with A251T (=CGMCC 4.7421T=JCM 32178T) as the type strain.
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Actinomycetales/classificação , Filogenia , Populus/microbiologia , Microbiologia do Solo , Actinomycetales/genética , Actinomycetales/isolamento & purificação , Técnicas de Tipagem Bacteriana , Composição de Bases , Parede Celular/química , China , DNA Bacteriano/genética , Ácido Diaminopimélico/química , Endófitos , Ácidos Graxos/química , Hibridização de Ácido Nucleico , Peptidoglicano/química , Fosfolipídeos/química , RNA Ribossômico 16S/genética , Análise de Sequência de DNA , Vitamina K 2/análogos & derivados , Vitamina K 2/químicaRESUMO
A taxonomic study was performed on strain LCB256T, which was isolated from a saline-alkali soil sample taken from northwestern China. Cells of strain LCB256T were Gram-stain-positive, aerobic, rod-shaped and grew at 3-17â% (w/v) NaCl (optimum 10-15â%), 10-52 °C (optimum 25-30 °C) and pH 7.0-9.0 (optimum 8.0). Phylogenetic analysis based on 16S rRNA gene sequences indicated that strain LCB256T was most closely related to the two genera of Ornithinibacillus and Oceanobacillus, showing highest sequence similarity to Oceanobacillus limi KCTC 13823T (97.8â%) and Ornithinibacillus bavariensis WSBC 24001T (97.2â%). The peptidoglycan amino acid type was found to be A4ß and the major respiratory quinone was determined to be MK-7. The polar lipid profile of strain LCB256T contained diphosphatidylglycerol, phosphatidylglycerol, one unidentified phospholipid and two unidentified aminolipids. The dominant cellular fatty acids were anteiso-C15â:â0 and iso-C15â:â0. The G+C content of genomic DNA was 39.3 mol%. DNA-DNA relatedness values between strain LCB256T and Ornithinibacillus halophilus KCTC 13822T and Oceanobacillus limi KCTC 13823T were 46.2 and 34.8â%, respectively. Based on this polyphasic taxonomic study, a novel species of the genus Ornithinibacillus, Ornithinibacillussalinisoli sp. nov. is proposed. The type strain is LCB256T (=CGMCC 1.15809T=KCTC 33862T).
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Bacillaceae/classificação , Filogenia , Microbiologia do Solo , Álcalis , Bacillaceae/genética , Bacillaceae/isolamento & purificação , Técnicas de Tipagem Bacteriana , Composição de Bases , China , DNA Bacteriano/genética , Ácidos Graxos/química , Hibridização de Ácido Nucleico , Peptidoglicano/química , Fosfolipídeos/química , RNA Ribossômico 16S/genética , Salinidade , Análise de Sequência de DNA , Vitamina K 2/análogos & derivados , Vitamina K 2/químicaRESUMO
A novel aerobic, Gram-stain-positive, motile, moderately halophilic and coccoid bacterial strain, designated LCB217T, was isolated from a saline-alkali soil in north-western China and identified using a polyphasic taxonomic approach. Growth occurred with 3-15â% (w/v) NaCl (optimum 3-5â%), at 10-45 °C (optimum 30 °C) and at pH 7.0-9.0 (optimum pH 9.0). Strain LCB217T contained MK-7 and MK-8 as the predominant menaquinones and anteiso-C15â:â0, iso-C14â:â0 and iso-C16â:â0 as the major fatty acids. The polar lipids from strain LCB217T consisted of diphosphatidylglycerol, phosphatidylglycerol, phosphatidylethanolamine, phosphatidylcholine, one unidentified phospholipid, one unidentified aminophospholipid and one unidentified lipid. The peptidoglycan type was A4α (l-Lys-d-Glu). Phylogenetic analysis of the 16S rRNA gene sequence showed that strain LCB217T belonged to the genus Planococcus and was closely related to the type strains Planococcus plakortidis AS/ASP6 (II)T (98.2â% similarity), Planococcus maitriensis S1T (97.7â%) and Planococcus salinarum ISL-16T (97.2â%). The G+C content of the genomic DNA was 49.4 mol%. DNA-DNA relatedness values between strain LCB217T andPlanococcusplakortidis AS/ASP6 (II)T, Planococcusmaitriensis S1T andPlanococcussalinarum ISL-16T were 29.5, 38.1 and 39.5â%, respectively. On the basis of the phenotypic, phylogenetic and genomic data, strain LCB217T represents a novel species of the genus Planococcus, for which the name Planococcus salinus sp. nov. is proposed. The type strain is LCB217T (=CGMCC 1.15685T=KCTC 33861T).
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Filogenia , Planococcus (Bactéria)/classificação , Microbiologia do Solo , Álcalis , Técnicas de Tipagem Bacteriana , Composição de Bases , China , DNA Bacteriano/genética , Ácidos Graxos/química , Hibridização de Ácido Nucleico , Fosfolipídeos/química , Planococcus (Bactéria)/genética , Planococcus (Bactéria)/isolamento & purificação , RNA Ribossômico 16S/genética , Salinidade , Análise de Sequência de DNA , Solo/química , Vitamina K 2/análogos & derivados , Vitamina K 2/químicaRESUMO
BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a gastrointestinal malignancy with high incidence. This study aimed to reveal the complete circRNA-miRNA-mRNA regulatory network in ESCC and validate its function mechanism. METHOD: Expression of OTU Domain-Containing Ubiquitin Aldehyde-Binding Protein 2 (OTUB2) in ESCC was analyzed by bioinformatics to find the binding sites between circRNA6448-14 and miR-455-3p, as well as miR-455-3p and OTUB2. The binding relationships were verified by RNA Immunoprecipitation (RIP) and dual-luciferase assay. The expressions of circRNA6448-14, miR-455-3p, and OTUB2 were detected by quantitative real-time polymerase chain reaction (qRT-PCR). MTT assay measured cell viability, and the spheroid formation assay assessed the ability of stem cell sphere formation. Western blot (WB) determined the expression of marker proteins of stem cell surface and rate-limiting enzyme of glycolysis. The Seahorse XFe96 extracellular flux analyzer measured the rate of extracellular acidification rate and cellular oxygen consumption. Corresponding assay kits assessed cellular glucose consumption, lactate production, and adenosine triphosphate (ATP) generation. RESULTS: In ESCC, circRNA6448-14 and OTUB2 were highly expressed in contrast to miR-455-3p. Knocking down circRNA6448-14 could prevent the glycolysis and stemness of ESCC cells. Additionally, circRNA6448-14 enhanced the expression of OTUB2 by sponging miR-455-3p. Overexpression of OTUB2 or silencing miR-455-3p reversed the inhibitory effect of knockdown of circRNA6448-14 on ESCC glycolysis and stemness. CONCLUSION: This research demonstrated that the circRNA6448-14/miR-455-3p/OTUB2 axis induced the glycolysis and stemness of ESCC cells. Our study revealed a novel function of circRNA6448-14, which may serve as a potential therapeutic target for ESCC.
Assuntos
Neoplasias Esofágicas , Carcinoma de Células Escamosas do Esôfago , Glicólise , MicroRNAs , RNA Circular , Humanos , MicroRNAs/genética , MicroRNAs/metabolismo , Glicólise/genética , Carcinoma de Células Escamosas do Esôfago/genética , Carcinoma de Células Escamosas do Esôfago/metabolismo , Carcinoma de Células Escamosas do Esôfago/patologia , RNA Circular/genética , RNA Circular/metabolismo , Neoplasias Esofágicas/genética , Neoplasias Esofágicas/metabolismo , Neoplasias Esofágicas/patologia , Linhagem Celular Tumoral , Regulação Neoplásica da Expressão Gênica , Células-Tronco Neoplásicas/metabolismo , Células-Tronco Neoplásicas/patologiaRESUMO
Multi-omic data, i.e., genomics, epigenomics, transcriptomics, proteomics, characterize cellular complex signaling systems from multi-level and multi-view and provide a holistic view of complex cellular signaling pathways. However, it remains challenging to integrate and interpret multi-omics data. Graph neural network (GNN) AI models have been widely used to analyze graph-structure datasets and are ideal for integrative multi-omics data analysis because they can naturally integrate and represent multi-omics data as a biologically meaningful multi-level signaling graph and interpret multi-omics data by node and edge ranking analysis for signaling flow/cascade inference. However, it is non-trivial for graph-AI model developers to pre-analyze multi-omics data and convert them into graph-structure data for individual samples, which can be directly fed into graph-AI models. To resolve this challenge, we developed mosGraphGen (multi-omics signaling graph generator), a novel computational tool that generates multi-omics signaling graphs of individual samples by mapping the multi-omics data onto a biologically meaningful multi-level background signaling network. With mosGraphGen, AI model developers can directly apply and evaluate their models using these mos-graphs. We evaluated the mosGraphGen using both multi-omics datasets of cancer and Alzheimer's disease (AD) samples. The code of mosGraphGen is open-source and publicly available via GitHub: https://github.com/Multi-OmicGraphBuilder/mosGraphGen.
RESUMO
Generative pretrained models represent a significant advancement in natural language processing and computer vision, which can generate coherent and contextually relevant content based on the pre-training on large general datasets and fine-tune for specific tasks. Building foundation models using large scale omic data is promising to decode and understand the complex signaling language patterns within cells. Different from existing foundation models of omic data, we build a foundation model, mosGraphGPT , for multi-omic signaling (mos) graphs, in which the multi-omic data was integrated and interpreted using a multi-level signaling graph. The model was pretrained using multi-omic data of cancers in The Cancer Genome Atlas (TCGA), and fine-turned for multi-omic data of Alzheimer's Disease (AD). The experimental evaluation results showed that the model can not only improve the disease classification accuracy, but also is interpretable by uncovering disease targets and signaling interactions. And the model code are uploaded via GitHub with link: https://github.com/mosGraph/mosGraphGPT.