MEMS-based two-photon microscopy with Lissajous scanning and image reconstruction under a feed-forward control strategy.

Two-photon microscopy (TPM) based on two-dimensional micro-electro-mechanical (MEMS) system mirrors shows promising applications in biomedicine and the life sciences. To improve the imaging quality and real-time performance of TPM, this paper proposes Lissajous scanning control and image reconstruction under a feed-forward control strategy, a dual-parameter alternating drive control algorithm and segmented phase synchronization mechanism, and pipe-lined fusion-mean filtering and median filtering to suppress image noise. A 10 fps frame rate (512 × 512 pixels), a 140 µm × 140 µm field of view, and a 0.62 µm lateral resolution were achieved. The imaging capability of MEMS-based Lissajous scanning TPM was verified by ex vivo and in vivo biological tissue imaging.

Integrating TCGA and single-cell sequencing data for colorectal cancer: a 10-gene prognostic risk assessment model.

Colorectal cancer represents a significant health threat, yet a standardized method for early clinical assessment and prognosis remains elusive. This study sought to address this gap by using the Seurat package to analyze a single-cell sequencing dataset (GSE178318) of colorectal cancer, thereby identifying distinctive marker genes characterizing various cell subpopulations. Through CIBERSORT analysis of colorectal cancer data within The Cancer Genome Atlas (TCGA) database, significant differences existed in both cell subpopulations and prognostic values. Employing WGCNA, we pinpointed modules exhibiting strong correlations with these subpopulations, subsequently utilizing the survival package coxph to isolate genes within these modules. Further stratification of TCGA dataset based on these selected genes brought to light notable variations between subtypes. The prognostic relevance of these differentially expressed genes was rigorously assessed through survival analysis, with LASSO regression employed for modeling prognostic factors. Our resulting model, anchored by a 10-gene signature originating from these differentially expressed genes and LASSO regression, proved adept at accurately predicting clinical prognoses, even when tested against external datasets. Specifically, natural killer cells from the C7 subpopulation were found to bear significant associations with colorectal cancer survival and prognosis, as observed within the TCGA database. These findings underscore the promise of an integrated 10-gene signature prognostic risk assessment model, harmonizing single-cell sequencing insights with TCGA data, for effectively estimating the risk associated with colorectal cancer.

Explore variations of DOM components in different landcover areas of riparian zone by EEM-PARAFAC and partial least squares structural equation model.

Dissolved organic matter (DOM) plays key roles in species-distribution of contaminants and the biogeochemical cycle of carbon in ecosystems. Riparian zone is the representative of water-land ecotone and controls the DOM exchange between water and land. However, the variance of DOM in different landcover areas of an urban river riparian zone is unknown. In this study, fluorescence excitation-emission matrix (EEM) spectroscopy coupled with parallel factor analysis (PARAFAC) and partial least squares structural equation model (PLS-SEM) was applied to character dissolved organic matter (DOM) fractions in four types of landcover riparian areas (natural forest, artificial forest, semi-natural grassland, and cropland) of Puhe River and trace latent factors. Soil samples were collected at 0-20 cm, 20-40 cm, 40-60 cm, and 60-80 cm. The results showed that soil DOM components and humification varied between forests with grassland and cropland samples, and soil humification was obviously higher in the forest samples than that in the grassland and cropland samples. In the natural and artificial forest soils, the humic/fulvic-like were the dominant fractions of DOM, whose variations were smaller than the protein-like with soil depths. However, the tyrosine-like was the representative component in the grassland and cropland soils, whose variation was smaller than the humus substances. According to the PLS-SEM, the DOM components and humification were affected by soil physiochemical properties and DOM sources. The humification in the forest soils had a positive correlation with tryptophan-like, which derived from blended source of the autochthonous and terrigenous. Nevertheless, a positive correlation was observed between humification and humus substances, which could derive from microbial degradation of tyrosine-like, in the grassland and cropland soils. Moreover, the soil physiochemical properties were negatively related to DOM components in all soil samples, which could affect indirectly soil humification. Therefore, EEM combined with PARAFAC and PLS-SEM might be an effective method to investigate DOM fractions and trace the latent factors in different landcover areas of the riparian zone.

Genome-wide analysis of the FOXA1 transcriptional regulatory network identifies super enhancer associated LncRNAs in tamoxifen resistance.

Breast cancer is the leading cause of death in female cancers, and what's worse, tamoxifen resistance occurs in almost 30% breast cancer patients and has seriously attenuated the therapeutic effect. It is widely studied that epigenetic regulation has played important role in the development of tamoxifen resistance. FOXA1 is a pioneer transcription factor that can translate epigenetic signature into transcription regulation and also drive genome-wide enhancer reprogramming in breast cancer. However, the chromatin super enhancer landscape orchestrated by FOXA1 and the key downstream targets of the FOXA1 oncogenic network in tamoxifen resistance remain elusive. Through analyzing the FOXA1 ChIP-seq data in tamoxifen sensitive MCF7 and tamoxifen resistant MCF7/TamR cells, we show that the FOXA1 chromatin occupancy is enhanced in both the promoter and enhancer regions, and the recruitment events may be E2 dependent in both MCF7 and MCF7/TamR cells. By integratively analyzing the FOXA1 ChIP-seq data and RNA-seq data of MCF7 and MCF7/TamR cells, we find that the enhanced or reduced FOXA1 chromatin binding densities may synchronize the transcriptional activity in tamoxifen resistance. Besides, we identify 1003 super enhancer associated protein coding genes and five super enhancer associated lncRNAs (ATP1A1-AS1, CASC11, CASC15, KCTD21-AS1, LINC00885) in tamoxifen resistance. By KM survival analysis, we find that high expression level of ATP1A1-AS1 and its sense transcript ATP1A1 indicates favorable clinical outcome among the luminal endocrine treated breast cancer patients. Further coexpression analysis indicates that ATP1A1-AS1 is significantly correlated with ATP1A1, and RT-qPCR results show that they both are downregulated in MCF7/TamR cells. Our study shows that the FOXA1 transcriptional regulatory network may promote the development of tamoxifen resistance, and identifies one super enhancer associated lncRNA ATP1A1-AS1 that may work as promising biomarker or drug target in tamoxifen resistance.

B-Cell Translocation Gene 2 Upregulation Is Associated with Favorable Prognosis in Lung Adenocarcinoma and Prolonged Patient Survival.

The tumor suppressor protein B-cell translocation gene 2 (BTG2) is downexpressed in lung adenocarcinoma (LUAD); however, its role in LUAD survival remains unknown. This investigation is aimed at exploring the activity of BTG2 in LUAD. We analyzed BTG2 expression in LUAD datasets of the TCGA database and examined that BTG2 was markedly downregulated in comparison with adjacent normal tissues. The prognostic analysis suggested that higher expression of BTG2 protein correlates with prolonged survival in patients. Vectors expressing BTG2 were stably transduced into lung adenocarcinoma A549 cells. The overexpression of BTG2 in A549 cells causes cellular G1 phase arrest but did not affect cell proliferation, accompanied by increased activation of NF-κB. Our data indicate that BTG2 overexpression may trigger an autoregulatory prosurvival NF-κB pathway, which is resistant to environmental intervention owing to an increased level of BTG2.

Metagenomic Next-Generation Sequencing Reveals the Profile of Viral Infections in Kidney Transplant Recipients During the COVID-19 Pandemic.

Background: To study the clinical application of metagenomic next-generation sequencing (mNGS) in the detection of viral infections in kidney transplant recipients (KTRs) during the COVID-19 pandemic. Methods: Using mNGS technology, 50 human fluid samples of KTRs were detected, including 20 bronchoalveolar lavage fluid (BALF) samples, 21 urine samples and 9 blood samples. The detected nucleic acid sequences were compared and analyzed with the existing viral nucleic acid sequences in the database, and the virus infection spectrum of KTRs was drawn. Results: The viral nucleic acids of 15 types of viruses were detected in 96.00% (48/50) of the samples, of which 11 types of viruses were in BALF (95.00%, 19/20), and the dominant viruses were torque teno virus (TTV) (65.00%; 13/20), cytomegalovirus (CMV) (45.00%; 9/20) and human alphaherpesvirus 1 (25.00%; 5/20). 12 viruses (95.24%, 20/21) were detected in the urine, and the dominant viruses were TTV (52.38%; 11/21), JC polyomavirus (52.38%; 11/21), BK polyomavirus (42.86%; 9/21), CMV (33.33%; 7/21) and human betaherpesvirus 6B (28.57%; 6/21). 7 viruses were detected in the blood (100.00%, 9/9), and the dominant virus was TTV (100.00%; 9/9). Four rare viruses were detected in BALF and urine, including WU polyomavirus, primate bocaparvovirus 1, simian virus 12, and volepox virus. Further analysis showed that TTV infection with high reads indicated a higher risk of acute rejection (P < 0.05). Conclusions: mNGS detection reveals the rich virus spectrum of infected KTRs, and improves the detection rate of rare viruses. TTV may be a new biomarker for predicting rejection.

Identification of HOXD10 as a Marker of Poor Prognosis in Glioblastoma Multiforme.

PURPOSE: HOXD10 is a tumor modulator that can either be a tumor-suppressor or a tumor-promoting gene. However, the role of HOXD10 in glioblastoma multiforme (GBM) remains unclear. METHODS: Immunohistochemistry (IHC) was applied to detect protein expression of HOXD10 in GBM and normal brain tissue patients. Clinicopathological characteristics with GBM were recorded, and a Kaplan-Meier curve was plotted. Additionally, the mRNA expression of HOXD10 and its effect on prognosis were analyzed using the online tool GEPIA and the Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and the Gene Expression Omnibus (GEO) databases. Based on the mRNA expression of HOXD10, GBM patients from TCGA database were divided into low- and high-HOXD10 expression groups to analyze the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and construct a lncRNA-miRNA-mRNA network and a protein-protein interaction (PPI) network. RESULTS: The mRNA expression of HOXD10 was up-regulated in GBM according to GEPIA, while the protein expression of HOXD10 in GBM was down-regulated according to IHC analysis of samples from patients collected from our hospital. Correlation analysis showed that HOXD10 expression was significantly related to IDH1 status. Univariate analysis revealed that low HOXD10 expression, complete surgical resection, postoperative radiotherapy, postoperative temozolomide chemotherapy and IDH1 mutation were all beneficial prognostic factors. Further multivariate analysis revealed that only complete surgical resection and postoperative radiotherapy were independent prognostic factors. GO and KEGG enrichment analyses indicated that HOXD10 expression is mainly involved in cytokine-cytokine receptor interactions. In the ceRNA network, 89 nodes, containing 45 mRNAs, 39 miRNAs and five lncRNAs associated with prognosis were involved. The PPI network revealed a tight interaction between HOXD10 and HOXD8, HOXD9, HOXD11, HOXD13 and HOXB3. CONCLUSION: Based on our experimental data, although HOXD10 expression is low in GBM compared with normal brain tissue, GBM patients with high HOXD10 expression have a worse prognosis. HOXD10 may play different or even opposite roles in different stages of GBM occurrence and development. For patients with GBM, HOXD10 may be a valid predictor of prognosis.

[Genetic analysis of a pedigree with atypical partial 4q trisomy].

OBJECTIVE: To explore the genetic basis for a Chinese pedigree affected with mental retardation. METHODS: G-banded karyotyping analysis and single nucleotide polymorphism microarray (SNP array) were used to detect the genetic variants within the family, and the origin of the variants was analyzed using UPDtool Statistics software. RESULTS: The patient, a 26-year-old female, was found to have a chromosomal karyotype of 46,XX,dup(4)(q28.2q31.3),and SNP array revealed a 25.71 Mb duplication at 4q28.2-q31.3. The duplication was inherited from her father, and her fetus was found to carry the same duplication. CONCLUSION: The duplication of the patient probably underlay the mental retardation. The gender of the carrier and parental origin of the duplication might have led to the variation in their clinical phenotype.

TP53 Mutation Related and Directly Regulated lncRNA Prognosis Markers in Hepatocellular Carcinoma.

PURPOSE: TP53 mutation is the most common genetic variation type in Hepatocellular carcinoma (HCC). We aim to illustrate the landscape of genomic alterations and TP53 mutation related and directly regulated lncRNA prognosis markers. MATERIALS AND METHODS: Utilizing the clinical and transcriptome data from The Cancer Genome Atlas (TCGA) website, we present the landscape of genomic alterations and RNA differential expression profiles. By analyzing the ENCODE TP53 ChIP-seq data, we get the TP53 chromatin binding profiles. By Kaplan-Meier (KM) survival analysis and ROC analysis, we identify lncRNA prognosis markers. RESULTS: TP53 ranks the highest mutation frequency gene and the maximum mutation type of TP53 is Missense Mutation (> 2.5×104). TP53 mutation showed poor clinical outcome among the pathological Stage II and Stage III HCC patients. By differential expression analysis of the TP53 wild type and mutation HCC, we find thousands of misregulated genes, including 699 differential expression lncRNAs (p <0.05, |log2FC| ≥1). Functional enrichment analysis of the misregulated genes shows that TP53 mutation events mainly alter DNA replication, cell cycle and immune response signaling pathways. By estimation of tumor-infiltrating immune cells through CIBERSORT, we find that the TP53 mutation events are significantly correlated with the different proportions of nine immune cells. We then integratively analyze the differential expression lncRNAs in TP53 wild type and mutation groups and the TP53 ChIP-seq binding lncRNAs, and get 112 overlap lncRNAs. By Kaplan-Meier survival analysis and ROC analysis, we identify two lncRNAs (RP4-736L20.3 and SNRK-AS1) that show significant prognosis value. Using the collected HCC samples, we validate the misregulated expression of RP4-736L20.3 and SNRK-AS1. CONCLUSION: The work presents the landscape of genomic variations and two TP53 mutation related and directly regulated lncRNA prognosis markers of HCC.

Mesenchymal stem cell exosomal tsRNA-21109 alleviate systemic lupus erythematosus by inhibiting macrophage M1 polarization.

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease with M1-type macrophage activation. Mesenchymal stem cells (MSCs) therapies have shown promise in models of pathologies relevant to SLE, while the function and mechanism of MSC-derived exosomes (MSC-exo) were still unclear. We aimed to interrogate the effect of MSC-exo on M1-type polarization of macrophage and investigate mechanisms underlying MSC-exo. Exosomes were isolated from MSC and the effect of MSC-exo on macrophage polarization was evaluated. The key tRNA-derived fragments (tRFs) carried by exosomes were identified by small RNA sequencing and verified in clinical samples. The effect of exosomal-tRFs on macrophage polarization was examined. In this study, MSC-exo dramatically suppressed expression of M1 markers, and reduced the levels of TNF-α and IL-1ß, while increased M2 markers in macrophages. A total of 243 differently expressed tRFs (DEtRFs) were identified between MSC-exo treated and untreated macrophage, among which 103 DEtRFs were up-regulated in response to MSC-exo treatment, including tsRNA-21109. The target genes of tsRNA-21109 were mainly enriched in DNA transcription-related GO function, and mainly involved in inflammatory-related pathways, including Rap1, Ras, Hippo, Wnt, MAPK, TGF-beta signaling pathway. The tsRNA-21109 was lowly expressed in clinical samples and was associated with the patient data in SLE. Compared to the normal MSC-exo, the tsRNA-21109-privative MSC-exo up-regulated M1 marker (CD80, NOS2, MCP1) and down-regulated M2 marker (CD206, ARG1, MRC2), also increased the levels of TNF-α and IL-1ß in macrophages. Western blot and immunofluorescence confirmed that the proportion of CD80/ARG-1 was increased in macrophages treated with tsRNA-21109-privatived MSC-exo compared to that with control MSC-exo. In conclusion, MSC-exo inhibited the M1-type polarization of macrophages, possibly through transferring tsRNA-21109, which may develop as a novel therapeutic target for SLE.

ENO3 promoted the progression of NASH by negatively regulating ferroptosis via elevation of GPX4 expression and lipid accumulation.

BACKGROUND: ENO3 expression is upregulated in Non-alcoholic fatty liver disease (NAFLD) patient tissues, demonstrated that ENO3 might play crucial roles in NAFLD. However, the mechanism of ENO3 in NAFLD remains unclear. Therefore, this study aimed to investigate the regulatory mechanism of ENO3 in the progression of non-alcoholic steatohepatitis (NASH) in vivo and vitro NASH model. METHODS: In vivo and vitro NASH model were established by methionine-choline deficient (MCD)-diet feeding and high free fatty acid (HFFA) induction in L02 cells. Loss and gain function of ENO3 and GPX4 was performed to study the mechanism in NASH. Western blot was used to detect the expression of ENO3 and GPX4. Hematoxylin and eosin (H&E), picrosirius Red and Oil Red O staining was used to evaluate histopathology of liver in NASH model. Ferroptosis indicators were measured by assay kits according to the manufacturer's instructions. RESULTS: NASH mouse model was successfully established induced by MCD diet with steatosis, inflammatory infiltration, ballooning and fibrosis observed in the liver tissue. The expression of ENO3 and GPX4 was significantly elevated while ferroptosis was inhibited in NASH mice and cell model. Upregulation of both ENO3 and GPX4 could promote the lipid accumulation in L02 cells. In addition, overexpressed ENO3 attenuated the status of ferroptosis. CONCLUSIONS: In the present study, we demonstrate that ENO3 promoted the progression of NASH by negatively regulating ferroptosis via elevating GPX4 expression and lipid accumulation. These findings provided solid foundation for the mechanism of ferroptosis on the progression of NASH regulated by ENO3, suggesting that ENO3 may be a potential therapeutic target for NASH.

Characteristic and role of chromosomal type II toxin-antitoxin systems locus in Enterococcus faecalis ATCC29212.

The Gram-positive bacterium Enterococcus faecalis is currently one of the major pathogens of nosocomial infections. The lifestyle of E. faecalis relies primarily on its remarkable capacity to face and survive in harsh environmental conditions. Toxin-antitoxin (TA) systems have been linked to the growth control of bacteria in response to adverse environments but have rarely been reported in Enterococcus. Three functional type II TA systems were identified among the 10 putative TA systems encoded by E. faecalis ATCC29212. These toxin genes have conserved domains homologous to MazF (DR75_1948) and ImmA/IrrE family metallo-endopeptidases (DR75_1673 and DR75_2160). Overexpression of toxin genes could inhibit the growth of Escherichia coli. However, the toxin DR75_1673 could not inhibit bacterial growth, and the bacteriostatic effect occurred only when it was coexpressed with the antitoxin DR75_1672. DR75_1948-DR75_1949 and DR75_160-DR75_2161 could maintain the stable inheritance of the unstable plasmid pLMO12102 in E. coli. Moreover, the transcription levels of these TAs showed significant differences when cultivated under normal conditions and with different temperatures, antibiotics, anaerobic agents and H2O2. When DR75_2161 was knocked out, the growth of the mutant strain at high temperature and oxidative stress was limited. The experimental characterization of these TAs loci might be helpful to investigate the key roles of type II TA systems in the physiology and environmental stress responses of Enterococcus.

The Somatic Mutation Landscape and RNA Prognostic Markers in Stomach Adenocarcinoma.

PURPOSE: Stomach cancer is one of the highest incidence and mortality malignancies worldwide. Our study aimed to illustrate the somatic mutation landscape and identify molecular markers of stomach cancer. MATERIALS AND METHODS: By integrated analysis of sequencing data and clinical data of stomach adenocarcinoma (STAD) from The Cancer Genome Atlas (TCGA) database, we identified several susceptibility genes and novel molecular markers and validated their potential function by the starBase website. Further, we validated the clinical value of two candidate lncRNAs in collected STAD samples by RT-qPCR. RESULTS: We illustrated the distributions of mutation frequencies and types to get the top 20 high-mutation frequency genes in STAD. We also found 2127 mRNAs, 129 miRNAs, and 170 lncRNAs that were differentially expressed. We identified four lncRNA-miRNA-mRNA ceRNAs (PVT1, MAGI2-AS3, MIR17HG, KCNQ1OT1). Besides, 27 mRNAs (PDE4C, ID1, AQP3, VCAN, FAP, NOX4, ANGPT2, SERPINE1, SPARC, PDGFRB, FN1, MFAP2, CSMD2, INHBA, COL10A1, MATN3, P4HA3, ADAMTS12, DGKI, OLFML2B, TMEM200A, FNDC1, CTHRC1, CHST1, F5, COL5A2, TUBB3) and two lncRNAs (MIR4458HG, LINC01235) showed a significant prognostic value, and their prognostic values were validated by the starBase website. What's more, the clinical values of MIR4458HG and LINC01235 were also demonstrated in collected STAD samples. CONCLUSION: We constructed the lncRNA ceRNA networks and identified 20 high-mutation frequency genes and 29 prognostic markers (27 mRNAs and two lncRNAs).

ACADSB regulates ferroptosis and affects the migration, invasion, and proliferation of colorectal cancer cells.

Colorectal cancer (CRC) is one of the most pressing health issues in today's society. As such, it is imperative that the scientific community devise effective methods to inhibit the proliferation and metastasis of CRC cells. Ferroptosis is a recently discovered regulatory cell death mode mainly manifested by dysregulation of cellular iron metabolism and mitochondrial lipid peroxidation. ACADSB is a member of the acyl-CoA dehydrogenase. This study finds that ACADSB is lowly expressed in CRC tissues. Its expression is negatively correlated with N- and M-stage CRC but positively correlated with the overall survival rate of CRC patients. In addition, it finds that ACADSB is found in the mitochondria of cells. Overexpression of ACADSB inhibits CRC cell migration, invasion, and proliferation, while ACADSB knockdown has the opposite effect. More importantly, the study finds that ACADSB negatively regulates expression of glutathione reductase and glutathione peroxidase 4, the two main enzymes responsible for clearing glutathione (GSH) in CRC cells. ACADSB overexpression enhances the concentration of malondialdehyde, Fe+ , superoxide dismutase, and lipid peroxidation in CRC cells, but reduces the concentration of GSH. This is significant, as all of these are important indicators of ferroptosis. Evaluating the data as a whole, this paper speculates that ACADSB affects CRC cell migration, invasion, and proliferation by regulating CRC cell ferroptosis.

Plasma Exosomal Long Noncoding RNA lnc-SLC2A12-10:1 as a Novel Diagnostic Biomarker for Gastric Cancer.

PURPOSE: Exosomes participate in cellular communications by transmitting active molecules, including long noncoding RNAs (lncRNAs) and are regarded as suitable candidates for disease diagnosis. This study aimed to identify gastric cancer (GC)-specific exosomal lncRNA and investigate the potential diagnostic value of plasma exosomal lncRNA in GC. PATIENTS AND METHODS: Exosomes from the culture media (CM) of four GC cells (GCCs) and human gastric epithelial cells were isolated. Exosomal RNA was extracted, and lncRNA microarray assay was performed to identify GC-specific exosomal lncRNAs. The expression levels of the candidate exosomal lncRNAs were validated in 120 subjects via quantitative reverse transcription PCR (qRT-PCR). The receiver operating characteristic (ROC) curve and area under curve were used to estimate the diagnostic capacity. We investigated the potential relationship between plasma exosomal lncRNA expression and the clinicopathological parameters of GC. RESULTS: A total of 199 exosomal lncRNAs were expressed at considerable higher levels in GCCs than those in normal controls, among which the top 10 upregulated lncRNAs were selected for further validation in cell, CM, and plasma. qRT-PCR revealed that lnc-SLC2A12-10:1 was remarkably upregulated in exosomes derived from patients with GC and GCCs. The area under the ROC curve was 0.776, which was higher than the diagnostic accuracies of CEA, CA 19-9, and CA72-4. The expression level of exosomal lnc-SLC2A12-10:1 was also significantly correlated with tumor size, TNM stage, lymph node metastasis, and degree of differentiation. The postoperative expression levels of exosomal lnc-SLC2A12-10:1 were lower compared with those of preoperative levels. CONCLUSION: Our study suggested that exosomal lnc-SLC2A12-10:1 may be a potential noninvasive biomarker for the diagnosis and prognosis monitoring of GC. Further large-scale studies are necessary to validate its performance in GC progression.

Identification and Analysis of Estrogen Receptor α Promoting Tamoxifen Resistance-Related lncRNAs.

70-75% breast cancer patients are estrogen receptor alpha positive (ERα+), and the antiestrogen drug tamoxifen has been used for the past three decades. However, in 20-30% of these patients, tamoxifen therapy fails due to intrinsic or acquired resistance. A previous study has showed ERα signaling still exerts significant roles in the development of tamoxifen resistance and several lncRNAs have been demonstrated important roles in tamoxifen resistance. But ERα directly regulated and tamoxifen resistance related lncRNAs remain to be discovered. We reanalyze the published ERα chromatin immunoprecipitation-seq (ChIP-seq) and RNA-seq data of tamoxifen-sensitive (MCF-7/WT) and tamoxifen-resistant (MCF-7/TamR) breast cancer cells. We demonstrate that there are differential ERα recruitment events and the differentials may alert the expression profile in MCF-7/WT and MCF-7/TamR cells. Furthermore, we make an overlap of the ERα binding lncRNAs and differentially expressed lncRNAs and get 49 ERα positively regulated lncRNAs. Among these lncRNAs, the expression levels of AC117383.1, AC144450.1, RP11-15H20.6, and ATXN1-AS1 are negatively correlated with the survival probability of breast cancer patients and ELOVL2-AS1, PCOLCE-AS1, ITGA9-AS1, and FLNB-AS1 are positively correlated. These lncRNAs may be potential diagnosis or prognosis markers of tamoxifen resistance.

Pulmonary-Affinity Paclitaxel Polymer Micelles in Response to Biological Functions of Ambroxol Enhance Therapeutic Effect on Lung Cancer.

PURPOSE: Cancer chemotherapy effect has been largely limited by cell autophagy and little drug accumulation at the action sites. Herein, we designed an intelligent strategy involving paclitaxel (PTX) polymer micelles in response to biological functions of ambroxol (Ax). The amphiphilic polymers polyethyleneglycol-polylactic acid (PEG-PLA) and Pluronic P105 were selected as nanocarriers to encapsulate PTX to form into lung affinity PEG-PLA/P105/PTX micelles. Ax which can up-regulate the secretion of pulmonary surfactant (PS) and inhibit autophagy was hired to change the microenvironment of the lung, thereby promoting the lung accumulation and increasing cell-killing sensitivity of the micelles. METHODS: The physical and chemical properties of the micelles were characterized including size, morphology, critical micellar concentration (CMC) and in vitro drug release behavior. The therapeutic effects of the combination regimen were characterized both in vitro and in vivo including study on Ax in promoting the secretion of pulmonary surfactant, in vitro cytotoxicity, cellular uptake, Western blotting, in vivo biodistribution, in vivo pharmacokinetics and in vivo antitumor efficacy. RESULTS: The PEG-PLA/P105/PTX micelles showed a particle size of 16.7 ± 0.5 nm, a nearly round shape, small CMC and sustained drug release property. Moreover, the in vitro results indicated that Ax could increase PS and LC3 protein secretion and enhance the cytotoxicity of PEG-PLA/P105/PTX micelles toward A549 cells. The in vivo results indicated that the combination therapeutic regimen could promote the micelles to distribute in lung and enhance the therapeutic effect on lung cancer. CONCLUSION: This multifunctional approach of modulating the tumor microenvironment to enhance drug transportation and cell-killing sensitivity in the action sites might offer a new avenue for effective lung cancer treatment.

Antimicrobial Activity of Lemongrass Essential Oil (Cymbopogon flexuosus) and Its Active Component Citral Against Dual-Species Biofilms of Staphylococcus aureus and Candida Species.

Compared to mono-species biofilm, biofilms formed by cross-kingdom pathogens are more refractory to conventional antibiotics, thus complicating clinical treatment and causing significant morbidity. Lemongrass essential oil and its bioactive component citral were previously demonstrated to possess strong antimicrobial efficacy against pathogenic bacteria and fungi. However, their effects on polymicrobial biofilms remain to be determined. In this study, the efficacy of lemongrass (Cymbopogon flexuosus) essential oil and its bioactive part citral against dual-species biofilms formed by Staphylococcus aureus and Candida species was evaluated in vitro. Biofilm staining and viability test showed both lemongrass essential oil and citral were able to reduce biofilm biomass and cell viability of each species in the biofilm. Microscopic examinations showed these agents interfered with adhesive characteristics of each species and disrupted biofilm matrix through counteracting nucleic acids, proteins and carbohydrates in the biofilm. Moreover, transcriptional analyses indicated citral downregulated hyphal adhesins and virulent factors of Candida albicans, while also reducing expression of genes involved in quorum sensing, peptidoglycan and fatty acids biosynthesis of S. aureus. Taken together, our results demonstrate the potential of lemongrass essential oil and citral as promising agents against polymicrobial biofilms as well as the underlying mechanisms of their activity in this setting.

Anti-cancer effect of marchantin C via inducing lung cancer cellular senescence associated with less secretory phenotype.

BACKGROUND: Lung cancer is the leading cause of global cancer deaths. Current chemotherapeutic agents for lung cancer treatment are generally accompanied with severe side effects. Here, we report that marchantin C (Mar-C), a potential natural compound with little chemotherapeutic toxicity, exerts a well anti-tumor effect against lung cancer via inducing cellular senescence. METHODS: The antitumor activity of Mar-C was evaluated by MTT and colony formation in vitro cytotoxicity assays, and xenograft and homograft in vivo model. Antitumor mechanisms of Mar-C were investigated through SA-ß-gal staining, Q-PCR, immunoblotting, immunofluorescence, protein array and siRNA knocking-down analysis. RESULTS: Mar-C selectively induces senescence of lung cancer cells with limited cytotoxicity on normal or non-neoplastic cells. Mar-C-induced senescence was associated with the elevation of ROS and activation of DNA-damage, and largely dependent of prolonged p21CIP1 accumulation. The senescence-associated secretory phenotype (SASP) induced by Mar-C was distinct from doxorubicin-induced. Furthermore, Mar-C exhibited an inhibitory activity on tumor growth with little toxicity in animal studies, and significantly prolonged the survival time of tumor-bearing mice than that of doxorubicin or vehicle treatments. CONCLUSION: Mar-C selectively inhibited tumor growth via the induction of cancer cell senescence and had little chemotherapeutic toxicity, suggesting the potential of Mar-C as a promising anticancer agent. GENERAL SIGNIFICANCE: This study provided evidence to identify a novelty of Mar-C that exerted antitumor activity on lung cancer through induction of senescence with limited toxicity.

Development of an LC-MS/MS-based assay to determine artemitin in rat plasma and its application in a pharmacokinetic study.

Artemitin, a significant flavonol compound existing in Laggera pterodonta (DC.) Benth., Artemisia rupestris L, etc., is the subject of attention by researchers owing to its pharmacological activities (such as antioxidative, anti-inflammatory and antiviral). In this work, a highly sensitive and specific high-performance liquid chromatography-electrospray ionization-tandem mass spectrometry (HPLC-ESI-MS/MS) assay combined with protein precipitation has been established and validated for determining artemitin concentration in rat plasma. Both artemitin and warfarin sodium (internal standard, IS) were separated on an Agela Venusil XBP Phenyl column through the isocratic elution mode of methanol-water containing 0.1% formic acid (80:20, v/v), at a flow rate of 0.4 mL/min. The MS/MS system was operated in a positive ion and ESI multiple reaction monitoring mode, and the multiple reaction monitoring transition was optimized as m/z 389.0 → 373.0 for artemitin and 309.2 → 163.0 for IS. The method showed good linearity in the range of 2.5-2000 ng/mL (R2 = 1.0000) and high sensitivity for artemitin with the lower limit of quantification of 2.5 ng/mL. The intra- and inter-day accuracies were 97.4-100.9 and 93.4-100.3%, respectively. The intra- and inter-day precisions were <4.8 and 6.5%, respectively. The extraction efficiency and absolute recovery were >66.5 and 71.3%, respectively. In addition, a good matrix effect of <9.5% was obtained. As a result, the method developed herein was successfully applied for the pharmacokinetic study of artemitin after an intravenous administration in rats.