Microarray expression profiling and bioinformatics analysis of circular RNA expression in lung squamous cell carcinoma

Circular RNAs (circRNAs) are novel noncoding RNAs with a wide range of physiological and pathological activities. However, the expression profile and roles in lung squamous cell carcinoma (LSCC) remain largely unknown. Therefore, we investigated the expression profile of circRNAs in three LSCC and matched adjacent normal tissues using microarray. Total 216 differentially expressed circRNAs were identified, including 135 upregulated and 81 downregulated ones in LSCC tissues. Bioinformatics analysis revealed that these differentially expressed circRNAs were potentially implicated in carcinogenesis using Gene ontology (GO) and KEGG pathway analyses. By constructing miRNA-circRNA interaction network, a total of ten key circRNAs, including 6 upregulated and 4 downregulated circRNAs were further screened and then confirmed using qRT-PCR analysis in another 40 paired of LSCC tissues and adjacent normal tissues. In addition, Kaplan-Meier survival analysis demonstrated that the overall survival time of LSCC patients with high hsa_circRNA_103827 expression and low hsa_circRNA_000122 was significantly shorter (P<0.001). In conclusion, this study provides evidence that circRNAs are differentially expressed in LSCC and closely related to the carcinogenesis of LSCC. Among these, hsa_circRNA_103827 and hsa_circRNA_000122 might be served as potential prognostic biomarkers and therapeutic target for LSCC.

Impact of male fertility status on the transcriptome of the bovine epididymis

STUDY QUESTION

Can region-specific transcriptional profiling of the epididymis from fertile and sub-fertile bulls predict the etiology of fertility/sub-fertility in males?

SUMMARY ANSWER

The highly regulated gene expression along the bovine epididymis is affected by the fertility status of bulls used for artificial insemination.

WHAT IS KNOWN ALREADY

In mammals, sperm maturation and storage occur in the epididymis. Each epididymal segment has his own transcriptomic signature that modulates the intraluminal composition and consequently governs sequential modifications of the maturing male gamete.

STUDY DESIGN, SIZE, DURATION

Epididymides from six Holstein bulls with documented fertility were used. These bulls were divided into two groups: high fertility (n = 3), and medium-low fertility (n = 3) and their epididymal transcriptomic profiles were analyzed.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Bovine cDNA microarray probing and bioinformatic tools were used to identify genes that are differentially expressed in caput, corpus and cauda epididymidal tissues of bulls with the documented fertility index.

MAIN RESULTS AND THE ROLE OF CHANCE

Hierarchical clustering and principal component analysis revealed a clear separation between caput, corpus and cauda epididymides. Some transcripts characterize a particular anatomical segment, whereas others are expressed in two out of three epididymal segments. Gene ontology analysis allowed deduction of specific functions played by each epididymal segment. The transcriptional profiles between fertile versus sub-fertile conditions clustered most closely in the corpus and cauda segments, whereas the profiles in the caput segment were distinct between fertile and sub-fertile bulls. Of the differently expressed genes, 10 (AKAP4, SMCP, SPATA3, TCP11, ODF1, CTCFL, SPATA18, ADAM28, SORD and FAM161A) were found to exert functions related to reproductive systems and 5 genes (DEAD, CYST11, DEFB119, DEFB124 and MX1) were found to be associated with the defense response.

LARGE SCALE DATA

The GEO number for public access of bovine epididymis microarray data is GSE96602.

LIMITATIONS, REASONS FOR CAUTION

Further work is required to link these modulations of epididymal functions with sperm fertilizing ability in order to understand the etiology of certain cases of idiopathic infertility in livestock and men.

WIDER IMPLICATIONS OF THE FINDINGS

As fertility can be quantified in bulls used for artificial insemination, this species is a unique model to aid in the understanding of male fertility/sub-fertility in man. Our data provide a molecular characterization that will facilitate advances in understanding the involvement of epididymal physiology in sub/infertility etiology.

STUDY FUNDING/COMPETING INTEREST(S)

This work was supported by a grant to R.S. from the Natural Sciences and Engineering Research Council (NSERC) of Canada. C.L., A.A., E.C. and R.S. have no conflict of interest to declare. P.B. is R&D director at Alliance Boviteq Inc., a bovine artificial insemination company.

Involvement of let-7 microRNA for the therapeutic effects of Rhenium-188-embedded liposomal nanoparticles on orthotopic human head and neck cancer model

Human head and neck squamous cell carcinoma (HNSCC) is usually treated by surgical resection with adjuvant radio-chemotherapy. In this study, we examined whether the radiopharmaceutical ¹⁸⁸Re-liposome could suppress the growth of HNSCC followed by an investigation of molecular mechanisms. The orthotopic HNSCC tumor model was established by human hypopharyngeal FaDu carcinoma cells harboring multiple reporter genes. The drug targeting and therapeutic efficacy of ¹⁸⁸Re-liposome were examined using in vivo imaging, bio-distribution, pharmacokinetics, and dosimetry. The results showed that ¹⁸⁸Re-liposome significantly accumulated in the tumor lesion compared to free ¹⁸⁸Re. The circulation time and tumor targeting of ¹⁸⁸Re-liposome were also longer than that of free ¹⁸⁸Re in tumor-bearing mice. The tumor growth was suppressed by ¹⁸⁸Re-liposome up to three weeks using a single dose treatment. Subsequently, microarray analysis followed by Ingenuity Pathway Analysis (IPA) showed that tumor suppressor let-7 microRNA could be an upstream regulator induced by ¹⁸⁸Re-liposome to regulate downstream genes. Additionally, inhibition of let-7i could reduce the effects of ¹⁸⁸Re-liposome on suppression of tumor growth, suggesting that let-7 family was involved in ¹⁸⁸Re-liposome mediated suppression of tumor growth in vivo. Our data suggest that ¹⁸⁸Re-liposome could be a novel strategy for targeting HNSCC partially via induction of let-7 microRNA.

Response to Letter to the Editor entitled 'Correct microarray analysis approaches in "Hsa-circRNA11783-2 in peripheral blood is correlated with coronary artery disease and type 2 diabetes mellitus"'

In the paper entailed 'Hsa-circRNA11783-2 in peripheral blood is correlated with coronary artery disease and type 2 diabetes mellitus', we illustrated the correlation of circRNA with T2DM and CAD. We used the common method - Q-PCR to select differentially expressed circular RNA (differentially expressedgenes(DEGs)), with a criteria of fold change>2 and unadjusted p values < 0.05 in expression. When the candidate RNAs have been narrowed down by GO and Pathway analysis, Q-PCR is a good verification method, although the idea that using Q-PCR to verify all the DEGs is still unrealistic. There is no denying that using an optimal statistical approach makes the survey much easier.

Decreased TCL6 expression is associated with poor prognosis in patients with clear cell renal cell carcinoma

One-third of clear cell renal cell carcinoma (ccRCC) patients present with metastasis at the time of diagnosis. The prognosis of these patients is poor. To identify potential prognostic biomarkers and therapeutic targets for ccRCC, we re-evaluated published long non-coding RNA (lncRNA) expression profiling data from the Gene Expression Omnibus and ArrayExpress database. We found that five lncRNAs were differentially expressed in ccRCC and adjacent tissues. These lncRNAs were assessed in an independent cohort of 71 paired patient samples using real-time PCR. Differences in expression of three of the lncRNAs (ENSG00000177133, TCL6, and ENSG00000244020) were validated in this analysis. Kaplan-Meier analysis indicated that low expression of ENSG00000177133 and TCL6 was associated with a poor prognosis. Univariate and multivariate regression analyses demonstrated that TCL6 but not ENSG00000177133 expression was an independent predictor of ccRCC aggressiveness and had hazard ratios predictive of clinical outcome. TCL6 expression was negatively correlated with pTNM stage. Overexpression of TCL6 in 786-O and Caki-1 ccRCC cells decreased proliferation and increased apoptosis compared to controls. Our results indicate that lncRNA expression is altered in ccRCC and that decreased TCL6 expression may be an independent adverse prognostic factor in ccRCC patients.

An 8-gene signature for prediction of prognosis and chemoresponse in non-small cell lung cancer

Identification of a potential gene signature for improved diagnosis in non-small cell lung cancer (NSCLC) patient is necessary. Here, we aim to establish and validate the prognostic efficacy of a gene set that can predict prognosis and benefits of adjuvant chemotherapy (ACT) in NSCLC patients from various ethnicities. An 8-gene signature was calculated from the gene expression of 181 patients using univariate Cox proportional hazard regression analysis. The prognostic value of the signature was robustly validated in 1,477 patients from five microarray independent data sets and one RNA-seq data set. The 8-gene signature was identified as an independent predictor of patient survival in the presence of clinical parameters in univariate and multivariate analyses [hazard ratio (HR): 2.84, 95% confidence interval CI (1.74-4.65), p=3.06e-05, [HR] 2.62, 95% CI (1.51-4.53), p=0.001], respectively. Subset analysis demonstrated that the 8-gene signature could identify high-risk patients in stage II-III with improved survival from ACT [(HR) 1.47, 95% CI (1.01-2.14), p=0.044]. The 8-gene signature also stratified risk groups in EGFR-mutated and wild-type patients. In conclusion, the 8-gene signature is a strong and independent predictor that can significantly stratify patients into low- and high-risk groups. Our gene signature also has the potential to predict patients in stage II-III that are likely to benefit from ACT.

Comprehensive analysis of differential expression profiles reveals potential biomarkers associated with the cell cycle and regulated by p53 in human small cell lung cancer

Small cell lung cancer (SCLC) is the subtype of lung cancer with the highest degree of malignancy and the lowest degree of differentiation. The purpose of this study was to investigate the molecular mechanisms of SCLC using bioinformatics analysis, and to provide new ideas for the early diagnosis and targeted therapy of SCLC. Microarray data were downloaded from Gene Expression Omnibus. Differentially expressed genes (DEGs) in SCLC were compared with the normal lung samples and identified. Gene Ontology (GO) function and pathway analysis of DEGs was performed through the DAVID database. Furthermore, microarray data was analyzed by using the clustering analysis tool GoMiner. Protein-protein interaction (PPI) networks of DEGs were constructed using the STRING online database. Protein expression was determined from the Human Protein Atlas, and SCLC gene expression was determined using Oncomine. In total, 153 DEGs were obtained. Functional enrichment analysis suggested that the majority of DEGs were associated with the cell cycle. CCNB1, CCNB2, MAD2L1 and CDK1 were identified to contribute to the progression of SCLC through combined use of GO, Kyoto Encyclopedia of Genes and Genomes enrichment analysis and a PPI network. mRNA and protein expression were also validated in an integrative database. The present study indicated that the formation of SCLC may be associated with cell cycle regulation. In addition, the four crucial genes CCNB1, CCNB2, MAD2L1 and CDK1, which are downstream of p53, may have important roles in the occurrence and progression of SCLC, and thus may be promising potential biomarkers and therapeutic targets.

Identification of Novel Hemangioblast Genes in the Early Chick Embryo

During early vertebrate embryogenesis, both hematopoietic and endothelial lineages derive from a common progenitor known as the hemangioblast. Hemangioblasts derive from mesodermal cells that migrate from the posterior primitive streak into the extraembryonic yolk sac. In addition to primitive hematopoietic cells, recent evidence revealed that yolk sac hemangioblasts also give rise to tissue-resident macrophages and to definitive hematopoietic stem/progenitor cells. In our previous work, we used a novel hemangioblast-specific reporter to isolate the population of chick yolk sac hemangioblasts and characterize its gene expression profile using microarrays. Here we report the microarray profile analysis and the identification of upregulated genes not yet described in hemangioblasts. These include the solute carrier transporters SLC15A1 and SCL32A1, the cytoskeletal protein RhoGap6, the serine protease CTSG, the transmembrane receptor MRC1, the transcription factors LHX8, CITED4 and PITX1, and the previously uncharacterized gene DIA1R. Expression analysis by in situ hybridization showed that chick DIA1R is expressed not only in yolk sac hemangioblasts but also in particular intraembryonic populations of hemogenic endothelial cells, suggesting a potential role in the hemangioblast-derived hemogenic lineage. Future research into the function of these newly identified genes may reveal novel important regulators of hemangioblast development.

A standardized fold change method for microarray differential expression analysis used to reveal genes involved in acute rejection in murine allograft models

Murine transplantation models are used extensively to research immunological rejection and tolerance. Here we studied both murine heart and liver allograft models using microarray technology. We had difficulty in identifying genes related to acute rejections expressed in both heart and liver transplantation models using two standard methodologies: Student's t test and linear models for microarray data (Limma). Here we describe a new method, standardized fold change (SFC), for differential analysis of microarray data. We estimated the performance of SFC, the t test and Limma by generating simulated microarray data 100 times. SFC performed better than the t test and showed a higher sensitivity than Limma where there is a larger value for fold change of expression. SFC gave better reproducibility than Limma and the t test with real experimental data from the MicroArray Quality Control platform and expression data from a mouse cardiac allograft. Eventually, a group of significant overlapping genes was detected by SFC in the expression data of mouse cardiac and hepatic allografts and further validated with the quantitative RT‐PCR assay. The group included genes for important reactions of transplantation rejection and revealed functional changes of the immune system in both heart and liver of the mouse model. We suggest that SFC can be utilized to stably and effectively detect differential gene expression and to explore microarray data in further studies.

Distinct gene expression profiles and regulation networks of nasal polyps in eosinophilic and non-eosinophilic chronic rhinosinusitis

BACKGROUND

Chronic rhinosinusitis with nasal polyps (CRSwNP) is known to have 2 phenotypes in East Asia. Eosinophilic CRSwNP (ECRSwNP), defined as tissue eosinophilia and easily recurrent, is distinguished from other non-eosinophilic CRSwNP (NECRSwNP) types. However, the pathogenesis of each remains unclear.

METHODS

Nasal polyp tissues from ECRS (ECRSwNP) and NECRS (NECRSwNP) patients were obtained, and their comprehensive gene expression profiles were investigated by microarray analysis. Bioinformatics approaches (eg, Ingenuity Pathway Analysis [IPA]) were used to interrogate the data sets.

RESULTS

Hierarchical clustering and principal component analysis (PCA) collectively showed that ECRSwNP and NECRSwNP had distinct gene expression patterns. Of note, these genes could be divided into 8 distinctive clusters having different expression patterns and functions. Upstream Regulator Analysis revealed that not only T-helper 2 (Th2) and the eosinophilia-related molecules (interleukin 4 [IL4], IL5, and colony stimulating factor 2 [CSF2]) reported so far, but also cell cycle regulators (cyclin dependent kinase inhibitor 1A [CDKNA1] and cyclin D1 [CCND1]) and a tissue fibrosis-related molecule (transforming growth factor β [TGFβ]) were identified in ECRSwNP. On the other hand, mainly interferons (IFNs) and acute inflammatory cytokines (IL1 and IL6) were predicted as upstream regulators in NECRSwNP.

CONCLUSION

These results are useful for understanding the molecular basis of the mechanisms of CRSwNP and point to new targets for developing specific biomarkers and personalized therapeutic strategies for CRSwNP.

Intrauterine hyperglycemia induces intergenerational Dlk1-Gtl2 methylation changes in mouse placenta

An intrauterine hyperglycemic environment has long-lasting effects on the offspring. Recent studies focused on fetal tissues, whereas we studied the development and molecular alteration of the placenta. By intercrossing male and female adult control (C) and first-generation offspring mice with gestational diabetes mellitus (F1-GDM), we obtained four groups of second generation (F2) offspring: 1) C♂-C♀, 2) C♂-GDM♀, 3) GDM♂-C♀, 4) GDM♂- GDM♀. Placental weights in F1-GDM offspring were lower than in the control group. Placental weights in F2-offspring decreased through the paternal line. Placental RNA was extracted and analyzed using microarrays on day18.5 of pregnancy. This revealed 35 upregulated imprinted genes and 10 down-regulated imprinted genes. Dlk1and Gtl2 were especially down-regulated and up-regulated, respectively, due to their abnormal methylation status. These findings suggest that intrauterine hyperglycemia decreased placental weight in the first generation, and this was transmitted paternally to the second generation in mice. They also suggest intrauterine hyperglycemia leads to abnormal placental Dlk1-Gtl2 expression due to DNA methylation in first and second generation mice.

Transcriptional profiling of NCI/ADR-RES cells unveils a complex network of signaling pathways and molecular mechanisms of drug resistance

Background

Ovarian cancer has the highest mortality rate among all the gynecological cancers. This is mostly due to the resistance of ovarian cancer to current chemotherapy regimens. Therefore, it is of crucial importance to identify the molecular mechanisms associated with chemoresistance.

Methods

NCI/ADR-RES is a multidrug-resistant cell line that is a model for the study of drug resistance in ovarian cancer. We carried out a microarray-derived transcriptional profiling analysis of NCI/ADR-RES to identify differentially expressed genes relative to its parental OVCAR-8.

Results

Gene-expression profiling has allowed the identification of genes and pathways that may be important for the development of drug resistance in ovarian cancer. The NCI/ADR-RES cell line has differential expression of genes involved in drug extrusion, inactivation, and efficacy, as well as genes involved in the architectural and functional reorganization of the extracellular matrix. These genes are controlled through different signaling pathways, including MAPK–Akt, Wnt, and Notch.

Conclusion

Our findings highlight the importance of using orthogonal therapies that target completely independent pathways to overcome mechanisms of resistance to both classical chemotherapeutic agents and molecularly targeted drugs.

Genome-Wide Analyses Identify Filamin-A As a Novel Downstream Target for Insulin and IGF1 Action

Insulin analogs were developed to improve diabetes therapy. However, certain modifications introduced into the insulin molecule were shown to enhance their affinity to the insulin-like growth factor-1 receptor (IGF1R). Most tumors, including endometrial cancers, express high levels of IGF1R. The present study was aimed at identifying the entire set of genes that are differentially activated by insulin glargine or detemir, in comparison to insulin and IGF1, in Type 1 and Type 2 endometrial cancer cell lines (ECC-1 and USPC-1, respectively). Global gene expression analyses demonstrated a ligand-dependent upregulated expression of filamin-A (FLNA), a gene that encodes an actin filament cross-linking protein, in both endometrial cancer cell types. Silencing experiments linked to migration assays confirmed the role of FLNA in cell growth and motility. Our data suggest that the activation of distinct sets of genes by glargine may lead to stimulation of specific pathways or, alternatively, may provide additive effects, different from those classically induced by insulin. Given that metastases are probably the main factor contributing to tumor invasiveness, the identification of FLNA as a downstream target for insulin-like hormones may be of translational relevance in oncology. Clinical studies in endometrial cancer may add further relevant information regarding the possible differential actions of insulin analogs with respect to native insulin.

Correct microarray analysis approaches in 'Hsa-circRNA11783-2 in peripheral blood is correlated with coronary artery disease and type 2 diabetes mellitus'

We read with great interest the article by Li et al. The results are illuminating for understanding the relationship among Hsa-circRNA11783-2, coronary artery disease (CAD) and type 2 diabetes mellitus (T2DM). However, from our perspective, the bioinformatics analyses need further context as the statistics for differential fold changes in expression data are not explained fully. The authors seem to use unadjusted p values for detecting differentially expressed circular RNA (differentially expressed genes (DEGs)) between the control, CAD and T2DM group. Due to the high false positives caused by a large number of probes and multiple comparisons, it seems essential to analyse microarray data properly to reach a reliable result by a statistical method. Only selecting circular RNA with greater than two fold change with unadjusted p values < 0.05 in expression is not reliable and suitable for high-level microarray analysis.

Integrative Transcriptomic Analysis Uncovers Novel Gene Modules That Underlie the Sulfate Response in Arabidopsis thaliana

Sulfur is an essential nutrient for plant growth and development. Sulfur is a constituent of proteins, the plasma membrane and cell walls, among other important cellular components. To obtain new insights into the gene regulatory networks underlying the sulfate response, we performed an integrative meta-analysis of transcriptomic data from five different sulfate experiments available in public databases. This bioinformatic approach allowed us to identify a robust set of genes whose expression depends only on sulfate availability, indicating that those genes play an important role in the sulfate response. In relation to sulfate metabolism, the biological function of approximately 45% of these genes is currently unknown. Moreover, we found several consistent Gene Ontology terms related to biological processes that have not been extensively studied in the context of the sulfate response; these processes include cell wall organization, carbohydrate metabolism, nitrogen compound transport, and the regulation of proteolysis. Gene co-expression network analyses revealed relationships between the sulfate-responsive genes that were distributed among seven function-specific co-expression modules. The most connected genes in the sulfate co-expression network belong to a module related to the carbon response, suggesting that this biological function plays an important role in the control of the sulfate response. Temporal analyses of the network suggest that sulfate starvation generates a biphasic response, which involves that major changes in gene expression occur during both the early and late responses. Network analyses predicted that the sulfate response is regulated by a limited number of transcription factors, including MYBs, bZIPs, and NF-YAs. In conclusion, our analysis identified new candidate genes and provided new hypotheses to advance our understanding of the transcriptional regulation of sulfate metabolism in plants.

Can the microRNA expression profile help to identify novel targets for zoledronic acid in breast cancer?

Zoledronic acid (ZOL), belonging to third generation bisphosphonate family, is a potent inhibitor of osteoclast-mediated bone resorption, widely used to effectively prevent osteolysis in breast cancer patients who develop bone metastases. Low doses of ZOL have been shown to exhibit a direct anticancer role, by inhibiting cell adhesion, invasion, cytoskeleton remodelling and proliferation in MCF-7 breast cancer cells. In order to identify the molecular mechanisms and signaling pathways underlying the anticancer activity exerted by ZOL, we analyzed for the first time the microRNA expression profile in breast cancer cells. A large-scale microarray analysis of 377 miRNAs was performed on MCF7 cells treated with 10 μM ZOL for 24 h compared to untreated cells. Furthermore, the expression of specific ZOL-induced miRNAs was analyzed in MCF-7 and SkBr3 cells through Real-time PCR. Low-dose treatment with ZOL significantly altered expression of 54 miRNAs. Nine upregulated and twelve downregulated miRNAs have been identified after 24 h of treatment. Also, ZOL induced expression of 11 specific miRNAs and silenced expression of 22 miRNAs. MiRNA data analysis revealed the involvement of differentially expressed miRNAs in PI3K/Akt, MAPK, Wnt, TGF-β, Jak-STAT and mTOR signaling pathways, and regulation of actin cytoskeleton. Our results have been shown to be perfectly coherent with the recent findings reported in literature concerning changes in expression of some miRNAs involved in bone metastasis formation, progression, therapy resistance in breast cancer. In conclusion, this data supports the hypothesis that ZOL-induced modification of the miRNA expression profile contributes to the anticancer efficacy of this agent.

A De Novo Xp11.23 Duplication in a Girl with a Severe Phenotype: Expanding the Clinical Spectrum

The Xp11.22-p11.23 duplication syndrome was described in 2009 by Giorda et al and is characterized by intellectual disability, speech delay, and electroencephalography anomalies. We report a case of a 23-month-old girl who presented with epilepsy and global developmental delay and who had a small duplication at Xp11.23. The case we present here is the first case showing the clinical features of Xp11.22-p11.23 duplication syndrome only involving synovial sarcoma, X breakpoint ( SSX ) genes: SSX1 , SSX3 , SSX4 , and SSX9 . This case report contributes to an expanding clinical spectrum of Xp11.22-p11.23 duplication syndrome.

Microarray analysis of lung long non-coding RNAs in cigarette smoke-exposed mouse model

Several studies have demonstrated the function of long non‑coding RNAs (lncRNAs) in various biological processes, yet their role underlying the susceptibility to cigarette smoke (CS)-induced airway inflammation remains limited. In the present study, we aimed to profile the expression of lncRNAs and mRNAs in CS-exposed mice. C57BL/6 mice were assigned into a single cigarette-smoking machine with or without CS exposure for 4 weeks, followed by lung tissue harvest and RNA isolation. Microarray analysis identified 108 lncRNAs and 119 mRNAs with differential expression levels in CS-exposed mouse lung tissue compared with those in control mice. The expression patterns of several lncRNAs were further confirmed by qRT-PCR. GO and pathway analyses showed that the altered mRNAs were mainly related to the processes of immune response, defense response and cell chemotaxis, cytokine-cytokine receptor interaction and chemokine signaling pathway. Moreover, a single lncRNA may co-expressed with several mRNAs, and so was the mRNA. Our findings uncovered the expression profile of lncRNAs and mRNAs in the lungs of CS-exposed mice, which may offer new insights into pathogenesis of CS-associated airway inflammatory disorders.

Longitudinal Transcriptional Response of Glycosylation-Related Genes, Regulators, and Targets in Cancer Cell Lines Treated With 11 Antitumor Agents

Cellular glycosylation processes are vital to cell functioning. In malignant cells, they are profoundly altered. We used time-course gene expression data from the NCI-60 cancer cell lines treated with 11 antitumor agents to analyze expression changes of genes involved in glycosylation pathways, genes encoding glycosylation targets or regulators, and members of cancer pathways affected by glycosylation. We also identified glycosylation genes for which pretreatment expression levels or changes after treatment were correlated with drug sensitivity. Their products are involved in N-glycosylation and O-glycosylation, fucosylation, biosynthesis of poly-N-acetyllactosamine, removal of misfolded proteins, binding to hyaluronic acid and other glycans, and cell adhesion. Tumor cell sensitivity to multiple agents was correlated with transcriptional response of C1GALT1C1, FUCA1, SDC1, MUC1; members of the MGAT, GALNT, B4GALT, B3GNT, MAN, and EDEM families; and other genes. These genes may be considered as potential candidates for drug targeting in combination therapy to enhance treatment response.

Perfusion of isolated rat kidney with Mesenchymal Stromal Cells/Extracellular Vesicles prevents ischaemic injury

Kidney donation after circulatory death (DCD) is a less than ideal option to meet organ shortages. Hypothermic machine perfusion (HMP) with Belzer solution (BS) improves the viability of DCD kidneys, although the graft clinical course remains critical. Mesenchymal stromal cells (MSC) promote tissue repair by releasing extracellular vesicles (EV). We evaluated whether delivering MSC-/MSC-derived EV during HMP protects rat DCD kidneys from ischaemic injury and investigated the underlying pathogenic mechanisms. Warm ischaemic isolated kidneys were cold-perfused (4 hrs) with BS, BS supplemented with MSC or EV. Renal damage was evaluated by histology and renal gene expression by microarray analysis, RT-PCR. Malondialdehyde, lactate, LDH, glucose and pyruvate were measured in the effluent fluid. MSC-/EV-treated kidneys showed significantly less global ischaemic damage. In the MSC/EV groups, there was up-regulation of three genes encoding enzymes known to improve cell energy metabolism and three genes encoding proteins involved in ion membrane transport. In the effluent fluid, lactate, LDH, MDA and glucose were significantly lower and pyruvate higher in MSC/EV kidneys as compared with BS, suggesting the larger use of energy substrates by MSC/EV kidneys. The addition of MSC/EV to BS during HMP protects the kidney from ischaemic injury by preserving the enzymatic machinery essential for cell viability and protects the kidney from reperfusion damage.

Gene Expression in the Liver Remnant Is Significantly Affected by the Size of Partial Hepatectomy: An Experimental Rat Study

Extended hepatectomies may result in posthepatectomy liver failure, a condition with a high mortality. The main purpose of the present study was to investigate and compare the gene expression profiles in rats subjected to increasing size of partial hepatectomy (PH). Thirty Wistar rats were subjected to 30%, 70%, or 90% PH, sham operation, or no operation. Twenty-four hours following resection, liver tissue was harvested and genome-wide expression analysis was performed. Cluster analysis revealed two main groupings, one containing the PH(90%) and one containing the remaining groups [baseline, sham, PH(30%), and PH(70%)]. Categorization of specific affected molecular pathways in the PH(90%) group revealed a downregulation of cellular homeostatic function degradation and biosynthesis, whereas proliferation, cell growth, and cellular stress and injury were upregulated in the PH(90%) group. After PH(90%), the main upregulated pathways were mTOR and ILK. The main activated upstream regulators were hepatocyte growth factor and transforming growth factor. With decreasing size of the future liver remnant, the liver tended to prioritize expression of genes involved in cell proliferation and differentiation at the expense of genes involved in metabolism and body homeostasis. This prioritizing may be an essential molecular explanation for posthepatectomy liver failure.

Identification of a peripheral blood long non-coding RNA (Upperhand) as a potential diagnostic marker of coronary artery disease

BACKGROUND

Long non-coding RNAs (lncRNAs) have been confirmed to be involved in the pathologi-cal processes of multiple diseases. However, the characteristic expression of lncRNAs in peripheral blood of coronary artery disease (CAD) patients and whether some of these lncRNAs can be used as diagnostic biomarkers for CAD requires further investigation.

METHODS

Six healthy and CAD individuals were selected for microarray analysis, and 5 differentially expressed lncRNAs were selected and confirmed in the second cohort consisting of 30 control individu-als and 30 CAD patients with different SYNTAX scores. Upperhand were verified in the third cohort consisting of 115 controls and 137 CAD patients.

RESULTS

Thirty one lncRNAs were differentially expressed between the two groups, among whom, 25 were upregulated in the CAD group and 6 were downregulated. Four of the selected five lncRNAs were significantly upregulated in the CAD group, and Upperhand had the largest area under the curve (AUC). The diagnostic value of Upperhand was tested further, and it remained having a high diagnostic value.

CONCLUSIONS

The expression level of Upperhand in peripheral blood of CAD patients is significantly higher than in control individuals, and is correlated with severity of CAD. Upperhand is a potential diagnostic biomarker of CAD, and when combined with TCONS_00029157, diagnostic value slightly increased.

Key-genes regulating the liposecretion process of mature adipocytes

White mature adipocytes (MAs) are plastic cells able to reversibly transdifferentiate toward fibroblast-like cells maintaining stem cell gene signatures. The main morphologic aspect of this transdifferentiation process, called liposecretion, is the secretion of large lipid droplets and the development of organelles necessary for exocrine secretion. There is a considerable interest in the adipocyte plastic properties involving liposecretion process, but the molecular details are incompletely explored. This review analyzes the gene expression of MAs isolated from human subcutaneous fat tissue with respect to bone marrow (BM)-derived mesenchymal stem cells (MSC) focusing on gene regulatory pathways involved into cellular morphology changes, cellular proliferation and transports of molecules through the membrane, suggesting potential ways to guide liposecretion. In particular, Wnt, MAPK/ERK, and AKT pathways were accurately described, studying up- and down-stream molecules involved. Moreover, adipogenic extra- and intra-cellular interactions were analyzed studying the role of CDH2, CDH11, ITGA5, E-Syt1, PAI-1, IGF1, and INHBB genes. Additionally, PLIN1 and PLIN2 could be key-genes of liposecretion process regulating molecules transport through the membrane. All together data demonstrated that liposecretion is regulated through a complex molecular networks that are able to respond to microenvironment signals, cytokines, and growth factors. Autocrine as well as external signaling molecules might activate liposecretion affecting adipocytes physiology.

Monitoring the Efficacy of Oncolytic Viruses via Gene Expression

With the recent success of oncolytic viruses in clinical trials, efforts toward improved monitoring of the viruses and their mechanism have intensified. Four main gene expression strategies have been employed to date including: analyzing overall gene expression in tumor cells, looking at gene expression of a few specific genes in the tumor cells, focusing on gene expression of specific transgenes introduced into the virus, and following gene expression of certain viral genes. Each strategy presents certain advantages and disadvantages over the others. Various methods to organize the dysregulated genes into clusters have provided a window into the mechanism of action for these viruses. Methodologically, the combined approach of looking at both overall gene expression, the tumor cells and gene expression of viral genes, enables researchers to assess correlation between the introduction of the virus and the changes in the tumor. This would seem to be the most productive approach for future studies, providing much information on mechanism and timing.

Transcriptome analysis of severely active chronic spontaneous urticaria shows an overall immunological skin involvement

BACKGROUND

The knowledge about chronic spontaneous urticaria (CSU) phenotypes is based on its clinical characteristics, associated comorbidities, course of the disease, and its response to the available effective drugs. Genotype expression and its further correlation with CSU phenotypes are still unknown. We describe the cutaneous transcriptome of patients suffering a severely active CSU refractory to antihistamine treatment.

METHODS

Through the bioinformatic analysis of the whole Human Genome with Oligo Microarrays and quantitative real-time polymerase chain reaction (qPCR), relevant genes expressed in nonlesional (NLS-CSU) and lesional skin (LS-CSU) and peripheral blood were identified in 20 patients suffering from severely active CSU and 10 healthy controls (HCs).

RESULTS

From 39 genes differentially expressed in NLS-CSU when compared with HCs, 31 (79.48%) were confirmed by qPCR corresponding to genes involved in epidermal homeostasis and dermal repair. From the analysis comparing LS-CSU with NLS-CSU, a selection of 142 genes was studied with qPCR, and 103 (72.53%) were confirmed. Differentially expressed genes in the phenomenon of wheal development are involved in a variety of biological functions as, epidermal differentiation, intracellular signal function, transcriptional factors cell cycle differentiation, inflammation, or coagulation. Differentially expressed genes that uniformly increase or decrease along the skin worsening until the wheal appearance is shown.

CONCLUSION

The skin of CSU patients with a severely active disease shows an overall immunological skin involvement showing a peculiar gene profile.