Delivery of pDNA to the Lung by Lipopolyplexes Using N-Lauroylsarcosine and Effect on the Pulmonary Fibrosis

In a previous study, we constructed a lung-targeting lipopolyplex containing polyethyleneimine (PEI), 1,2-di-O-octadecenyl-3-trimethylammonium propane (DOTMA), and N-lauroylsarcosine (LS). The lipopolyplex exhibited an extremely high gene expression in the lung after intravenous administration. Here, we optimized the lipopolyplex and used it to deliver a TGF-β1 shRNA to treat refractory pulmonary fibrosis. We constructed several lipopolyplexes with pDNA, various cationic polymers, cationic lipids, and LS to select the most effective formulation. Then, the pDNA encoding shRNA against mouse TGF-β1 was encapsulated in the lipopolyplex and injected into mice with bleomycin-induced pulmonary fibrosis. After optimizing the lipopolyplex, dendrigraft poly-L-lysine (DGL) and DOTMA were selected as the appropriate cationic polymer and lipid, respectively. The lipopolyplex was constructed with a pDNA, DGL, DOTMA, and LS charge ratio of 1:2:2:4 showed the highest gene expression. After intravenous administration of the lipopolyplex, the highest gene expression was observed in the lung. In the in vitro experiment, the lipopolyplex delivered pDNA into the cells via endocytosis. As a result, the lipopolyplex containing pDNA encoding TGF-β1 shRNA significantly decreased hydroxyproline in the pulmonary fibrosis model mice. We have successfully inhibited pulmonary fibrosis using a novel lung-targeting lipopolyplex.

MCT1 is a Predictive Marker for Lenalidomide Maintenance Therapy in Multiple Myeloma

Biomarkers that predict response to lenalidomide maintenance therapy in patients with multiple myeloma (MM) have remained elusive. We have shown that IMiDs exert anti-MM activity via destabilization of MCT1 and CD147. Here, samples of 654 patients receiving lenalidomide (n=455), thalidomide (n=98) or bortezomib (n=101) maintenance were assessed using gene expression profiling and RNA-sequencing, followed by correlation of MCT1 and CD147 expression with progression-free (PFS) and overall survival (OS) data. Patients with high gene expression levels of MCT1 showed significantly reduced PFS (31.9 vs. 48.2 months in MCT1high vs. MCT1low, P=.03) and OS (75.9 months vs. not reached (NR) months in MCT1high vs. MCT1low; P=.001) in case of lenalidomide maintenance, whereas MCT1 expression had no significant impact on PFS or OS in patients with bortezomib maintenance. We validated the predictive role of MCT1 for IMiD-based maintenance in an independent cohort of patients receiving thalidomide (OS 83.6 months vs. NR in MCT1high vs. MCT1low; P=.03). Functional validation showed that MCT1 overexpression in human MM cell lines significantly reduced efficacy of lenalidomide, while no change was observed upon bortezomib treatment, both in vitro and in an MM xenograft model. Together, we establish MCT1-expression as a predictive marker for response to lenalidomide-based maintenance treatment.

Association of high gene expression levels of ARF6 with the immune microenvironment and prediction of poor outcomes.

3092 Background: ADP-ribosylation factor 6 ( ARF6) is a small GTPase in the RAS superfamily, which regulates membrane trafficking, remodeling and tumor progression. Preclinical study shows that TP53 and KRAS cooperatively activate the ARF6-AMAP1 pathway which serves as a link by which pancreatic driver mutations promote tumor invasion, PD-L1 dynamics and immune evasion properties in pancreatic ductal adenocarcinoma (PDAC). The clinical impact of ARF6 on cancer progression and prognosis remains unclear. Methods: A total of 2,948 PDAC samples were analyzed using next-generation sequencing of RNA (whole transcriptome, NovaSeq) and DNA (NextSeq, 592 genes or NovaSeq, whole exome sequencing) and immunohistochemistry (IHC) (Caris Life Sciences, Phoenix, AZ). QuantiSeq (Finotello 2019, Genome Medicine) was used to quantify immune cell infiltration. Overall survival (OS) was obtained from insurance claims, and Kaplan-Meier estimates were calculated for molecularly defined cohorts. Significance was determined as p values adjusted for multiple correction ( q) of <.05. Results: Median ARF6 expression was higher in metastases (33.69 transcriptions per million) compared to primary/local tumors (27.59, q<.05). Specific metastatic sites showed higher expression than did primary tumors ( q<.05 for liver and p<.05 for skin, bone and lymph nodes). Dividing into quartiles by ARF6 expression (the highest expression quartile, QH; the lowest, QL), KRAS mutations were significantly more prevalent in QH than QL (93.4 vs 87.2%, q<.05), and TP53 mutations had similar trends (81.0% in QH vs 74.7% in QL, p=.0078). The mutation rates of KDM6A, FANCD2 and TFEB amplifications trended higher in QH than QL; the STK11 mutation rate tended to be lower in QH ( p<.05). PD-L1 expression by IHC was significantly higher in QH than QL (20.9 vs 13.1%); immune checkpoint genes by RNA expression: IFNG, IDO1, PDCD1G2, CD274, PDCD1 and PDCD2L were significantly higher in QH than QL (all q<.05). Macrophages, neutrophils, NK cells, fibroblasts and endothelial cells were more abundant in QH than QL (all q<.05); whereas CD4+ and CD8+ T cells were lower in QH ( q<.05), and monocytes had similar trends ( p<.05). High expression of ARF6 was significantly associated with unfavorable outcomes in OS (HR = 1.83, 95% CI [1.51–2.22], p<.0001); the effect on OS was seen when primary (HR = 1.47, [1.06–2.05], p=.02) and metastatic tumors (HR = 0.608, [1.29–2.10], p<.0001) were investigated separately. Conclusions: This is the first report showing that high gene expression of ARF6 in PDAC indicates a different immune profile, is enriched in cancer metastases, and is associated with poor survival. Our results provide the first clinical evidence supporting the ARF6 pathway as a major downstream target of KRAS and TP53 mutations promoting immune evasion, suggesting ARF6 is a novel marker for prognosis and a potential target for immune therapeutic strategies in PDAC.

Signatures of optimal codon usage in metabolic genes inform budding yeast ecology

Reverse ecology is the inference of ecological information from patterns of genomic variation. One rich, heretofore underutilized, source of ecologically relevant genomic information is codon optimality or adaptation. Bias toward codons that match the tRNA pool is robustly associated with high gene expression in diverse organisms, suggesting that codon optimization could be used in a reverse ecology framework to identify highly expressed, ecologically relevant genes. To test this hypothesis, we examined the relationship between optimal codon usage in the classic galactose metabolism (GAL) pathway and known ecological niches for 329 species of budding yeasts, a diverse subphylum of fungi. We find that optimal codon usage in the GAL pathway is positively correlated with quantitative growth on galactose, suggesting that GAL codon optimization reflects increased capacity to grow on galactose. Optimal codon usage in the GAL pathway is also positively correlated with human-associated ecological niches in yeasts of the CUG-Ser1 clade and with dairy-associated ecological niches in the family Saccharomycetaceae. For example, optimal codon usage of GAL genes is greater than 85% of all genes in the genome of the major human pathogen Candida albicans (CUG-Ser1 clade) and greater than 75% of genes in the genome of the dairy yeast Kluyveromyces lactis (family Saccharomycetaceae). We further find a correlation between optimization in the GALactose pathway genes and several genes associated with nutrient sensing and metabolism. This work suggests that codon optimization harbors information about the metabolic ecology of microbial eukaryotes. This information may be particularly useful for studying fungal dark matter—species that have yet to be cultured in the lab or have only been identified by genomic material.

Age-associated changes in the transcriptomes of non-cultured adipose-derived stem cells from young and old mice assessed via single-cell transcriptome analysis

Adipose-derived stem cells (ASCs) exhibit self-renewal and pluripotency. The differentiation potency of ASCs has been reported to deteriorate with aging; however, relevant studies used ASCs that were isolated and subcultured several times. It is still unclear whether subcultured ASCs accurately reflect the in vivo state. To address this question, we used freshly isolated stromal vascular fractions (SVFs) and performed comprehensive single-cell transcriptome analysis. In this study, we identified three cell populations as putative ASC candidates in SVFs and three novel ASC-related genes: Adamts7, Snai2, and Tgfbr1, that are reported to be negative regulators of cell differentiation. Moreover, we identified age-associated high gene expression levels of Adamts7, Egfr, and Igfbp4 in the earliest differentiation stage of ASCs. These results suggest that aging may make it impossible to maintain the stringency of the regulation of the expression of some genes related to ASC differentiation.

Effect of the Addition Frequency of 5-Azacytidine in Both Micro- and Macroscale Cultures

Introduction Human mesenchymal stem cells (hMSCs) have a great clinical potential for tissue regeneration purposes due to its multilineage capability. Previous studies have reported that a single addition of 5-azacytidine (5-AzaC) causes the differentiation of hMSCs towards a myocardial lineage. The aim of this work was to evaluate the effect of 5-AzaC addition frequency on hMSCs priming (i.e., indicating an early genetic differentiation) using two culture environments. Methods hMSCs were supplemented with 5-AzaC while cultured in well plates and in microfluidic chips. The impact of 5-AzaC concentration (10 and 20 μM) and addition frequency (once, daily or continuously), as well as of culture period (2 or 5 days) on the genetic upregulation of PPARγ (adipocytes), PAX3 (myoblasts), SOX9 (chondrocytes) and RUNX2 (osteoblasts) was evaluated. Results Daily delivering 5-AzaC caused a higher upregulation of PPARγ, SOX9 and RUNX2 in comparison to a single dose delivery, both under static well plates and dynamic microfluidic cultures. A particularly high gene expression of PPARγ (tenfold-change) could indicate priming of hMSCs towards adipocytes. Conclusions Both macro- and microscale cultures provided results with similar trends, where addition frequency of 5-AzaC was a crucial factor to upregulate several genes. Microfluidics technology was proven to be a suitable platform for the continuous delivery of a drug and could be used for screening purposes in tissue engineering research.

Gene expression analysis of ABC transporter family in breast tumors: relationship with chemotherapy effect and disease prognosis

Background. One of the main reasons of the ineffectiveness of chemotherapy is still considered to be the formation of the multidrug resistance phenotype of the tumor due to the expression of energy-dependent proteins of ABC transporters. Our previous studies for some ABC genes have established that the expression of these genes correlates with the effectiveness of neoadjuvant chemotherapy (NAC). Some of the clinical studies indicate that ABC transporters can influence not only the formation of chemoresistance in the tumor, but also the progression, invasion and metastasis of the tumor node. Objective: to evaluate the level of transcription of all 49 known ABC genes in a breast tumor before and after treatment and their prognostic significance. Materials and methods. The study included 31 patients with a diagnosis of stage IIA – IIIB breast cancer. RNA was isolated from paired samples of tumor tissue before and after NAC. A microarray study of all tumor samples was performed on ClariomТМ S Assay, human microarrays. Using microarray studies, the expression of 49 genes of the ABC transporter family was studied. Analysis of the microchip data was carried out using the program Transcriptome Analysis Console (TAC) software 4.0. Results. It was found that changes in the expression (increase/decrease during NAC) of the ABCA5, ABCA7, ABCB1, ABCB4, ABCB11, ABCC1, ABCC10, ABCC11, ABCG1, ABCG2, ABCG4, ABCG5, ABCG8 genes are statistically significantly associated with the response to NAC. In addition, the prognostic significance of ABCB1 and ABCB4 gene expression was established. Survival analysis showed that 5-year survival rates in patients with high gene expression of ABCB1 and ABCB4 are lower compared to patients with low expression of these genes (log-rank-test p = 0.001 and 0.04 respectively). Conclusion. Data were obtained on the relationship of gene expression of the ABC transporter family with the effect of NAC in patients with breast cancer and the outcome of the disease. The prognostic potential of the ABCB1 and ABCB4 genes in patients with breast cancer has been established.

In Vitro Cell Sensitivity to Palytoxin Correlates with High Gene Expression of the Na+/K+-ATPase β2 Subunit Isoform

The marine polyether palytoxin (PLTX) is one of the most toxic natural compounds, and is involved in human poisonings after oral, inhalation, skin and/or ocular exposure. Epidemiological and molecular evidence suggest different inter-individual sensitivities to its toxic effects, possibly related to genetic-dependent differences in the expression of Na+/K+-ATPase, its molecular target. To identify Na+/K+-ATPase subunits, isoforms correlated with in vitro PLTX cytotoxic potency, sensitivity parameters (EC50: PLTX concentration reducing cell viability by 50%; Emax: maximum effect induced by the highest toxin concentration; 10−7 M) were assessed in 60 healthy donors’ monocytes by the MTT (methylthiazolyl tetrazolium) assay. Sensitivity parameters, not correlated with donors’ demographic variables (gender, age and blood group), demonstrated a high inter-individual variability (median EC50 = 2.7 × 10−10 M, interquartile range: 0.4–13.2 × 10−10 M; median Emax = 92.0%, interquartile range: 87.5–94.4%). Spearman’s analysis showed significant positive correlations between the β2-encoding ATP1B2 gene expression and Emax values (rho = 0.30; p = 0.025) and between Emax and the ATP1B2/ATP1B3 expression ratio (rho = 0.38; p = 0.004), as well as a significant negative correlation between Emax and the ATP1B1/ATP1B2 expression ratio (rho = −0.30; p = 0.026). This toxicogenetic study represents the first approach to define genetic risk factors that may influence the onset of adverse effects in human PLTX poisonings, suggesting that individuals with high gene expression pattern of the Na+/K+-ATPase β2 subunit (alone or as β2/β1 and/or β2/β3 ratio) could be highly sensitive to PLTX toxic effects.

Signatures of optimal codon usage predict metabolic ecology in budding yeasts

ABSTRACTReverse ecology is the inference of ecological information from patterns of genomic variation. One rich, heretofore underutilized, source of ecologically-relevant genomic information is codon optimality or adaptation. Bias toward codons that match the tRNA pool is robustly associated with high gene expression in diverse organisms, suggesting that codon optimization could be used in a reverse ecology framework to identify highly expressed, ecologically relevant genes. To test this hypothesis, we examined the relationship between optimal codon usage in the classic galactose metabolism (GAL) pathway and known ecological niches for 329 species of budding yeasts, a diverse subphylum of fungi. We find that optimal codon usage in the GAL pathway is positively correlated with quantitative growth on galactose, suggesting that GAL codon optimization reflects increased capacity to grow on galactose. Optimal codon usage in the GAL pathway is also positively correlated with human-associated ecological niches in yeasts of the CUG-Ser1 clade and with dairy-associated ecological niches in the family Saccharomycetaceae. For example, optimal codon usage of GAL genes is greater than 85% of all genes in the major human pathogen Candida albicans (CUG-Ser1 clade) and greater than 75% of genes in the dairy yeast Kluyveromyces lactis (family Saccharomycetaceae). We further find a correlation between optimization in the thiamine biosynthesis and GAL pathways. As a result, optimal codon usage in thiamine biosynthesis genes is also associated with dairy ecological niches in Saccharomycetaceae, which may reflect competition with co-occurring microbes for extracellular thiamine. This work highlights the potential of codon optimization as a tool for gaining insights into the metabolic ecology of microbial eukaryotes. Doing so may be especially illuminating for studying fungal dark matter—species that have yet to be cultured in the lab or have only been identified by genomic material.