α4-Integrin deficiency in human CD34+ cells engenders precocious erythroid differentiation but inhibits enucleation.

The functional impact of integrin expression in erythropoiesis has been previously emphasized through its decisive influence on erythroid cell-microenvironment (matrix and cellular) interactions, especially under conditions of stress. Beyond that, in several in vitro studies the relationship between the two erythroid integrins, α4 and α5, has been incongruous in terms of a proliferative support, either synergistic or antagonistic, whereas a dominant influence of α4 integrin on terminal erythropoiesis in vitro and in vivo has been consistently emphasized. However, the specific cellular and molecular details of this effect have not been defined, especially for human cells. In the study described here, we cultured human CD34+ progenitor cells with induced deficiency of α4 integrin (shRNAα4) under erythroid differentiation conditions, in which expanded erythroid progenitor cells are directed to terminal erythroid maturation stages in the absence of any microenvironmental influence. Our data indicate that early proliferative expansion in cells lacking α4 expression is significantly limited, but although erythroid cell differentiation can proceed normally to terminal stages, their enucleation is drastically impaired. This novel aspect of α4 integrin participation in the enucleation process in vitro resonates on the lack of in vivo enucleation of primitive erythroid cells lacking any integrin expression but affecting adult cells only under stress conditions.

Reactivation of γ-globin in adult ß-YAC mice after ex vivo and in vivo hematopoietic stem cell genome editing.

Disorders involving ß-globin gene mutations, primarily ß-thalassemia and sickle cell disease, represent a major target for hematopoietic stem/progenitor cell (HSPC) gene therapy. This includes CRISPR/Cas9-mediated genome editing approaches in adult CD34+ cells aimed toward the reactivation of fetal γ-globin expression in red blood cells. Because models involving erythroid differentiation of CD34+ cells have limitations in assessing γ-globin reactivation, we focused on human ß-globin locus-transgenic (ß-YAC) mice. We used a helper-dependent human CD46-targeting adenovirus vector expressing CRISPR/Cas9 (HDAd-HBG-CRISPR) to disrupt a repressor binding region within the γ-globin promoter. We transduced HSPCs from ß-YAC/human CD46-transgenic mice ex vivo and subsequently transplanted them into irradiated recipients. Furthermore, we used an in vivo HSPC transduction approach that involves HSPC mobilization and the intravenous injection of HDAd-HBG-CRISPR into ß-YAC/CD46-transgenic mice. In both models, we demonstrated efficient target site disruption, resulting in a pronounced switch from human ß- to γ-globin expression in red blood cells of adult mice that was maintained after secondary transplantation of HSPCs. In long-term follow-up studies, we did not detect hematological abnormalities, indicating that HBG promoter editing does not negatively affect hematopoiesis. This is the first study that shows successful in vivo HSPC genome editing by CRISPR/Cas9.

Studies on the Interaction of Tumor-Derived HD5 Alpha Defensins with Adenoviruses and Implications for Oncolytic Adenovirus Therapy.

Defensins are small antimicrobial peptides capable of neutralizing human adenovirus (HAdV) in vitro by binding capsid proteins and blocking endosomal escape of virus. In humans, the alpha defensin HD5 is produced by specialized epithelial cells of the gastrointestinal and genito-urinary tracts. Here, we demonstrate, using patient biopsy specimens, that HD5 is also expressed as an active, secreted peptide by epithelial ovarian and lung cancer cells in situ This finding prompted us to study the role of HD5 in infection and spread of replication-competent, oncolytic HAdV type 3 (HAdV3). HAdV3 produces large amounts of penton-dodecahedra (PtDd), virus-like particles, during replication. We have previously shown that PtDd are involved in opening epithelial junctions, thus facilitating lateral spread of de novo-produced virions. Here, we describe a second function of PtDd, namely, the blocking of HD5. A central tool to prove that viral PtDd neutralize HD5 and support spread of progeny virus was an HAdV3 mutant virus in which formation of PtDd was disabled (mut-Ad3GFP, where GFP is green fluorescent protein). We demonstrated that viral spread of mut-Ad3GFP was blocked by synthetic HD5 whereas that of the wild-type (wt) form (wt-Ad3GFP) was only minimally impacted. In human colon cancer Caco-2 cells, induction of cellular HD5 expression by fibroblast growth factor 9 (FGF9) significantly inhibited viral spread and progeny virus production of mut-Ad3GFP but not of wt-Ad3GFP. Finally, the ectopic expression of HD5 in tumor cells diminished the in vivo oncolytic activity of mut-Ad3GFP but not of wt-Ad3GFP. These data suggest a new mechanism of HAdV3 to overcome innate antiviral host responses. Our study has implications for oncolytic adenovirus therapy.IMPORTANCE Previously, it has been reported that human defensin HD5 inactivates specific human adenoviruses by binding to capsid proteins and blocking endosomal escape of virus. The central new findings described in our manuscript are the following: (i) the discovery of a new mechanism used by human adenovirus serotype 3 to overcome innate antiviral host responses that is based on the capacity of HAdV3 to produce subviral penton-dodecahedral particles that act as decoys for HD5, thus preventing the inactivation of virus progeny produced upon replication; (ii) the demonstration that ectopic HD5 expression in cancer cells decreases the oncolytic efficacy of a serotype 5-based adenovirus vector; and (iii) the demonstration that epithelial ovarian and lung cancers express HD5. The study improves our understanding of how adenoviruses establish infection in epithelial tissues and has implications for cancer therapy with oncolytic adenoviruses.

Cytokine systems approach demonstrates differences in innate and pro-inflammatory host responses between genetically distinct MERS-CoV isolates.

BACKGROUND: The recent emergence of a novel coronavirus in the Middle East (designated MERS-CoV) is a reminder of the zoonotic and pathogenic potential of emerging coronaviruses in humans. Clinical features of Middle East respiratory syndrome (MERS) include atypical pneumonia and progressive respiratory failure that is highly reminiscent of severe acute respiratory syndrome (SARS) caused by SARS-CoV. The host response is a key component of highly pathogenic respiratory virus infection. Here, we computationally analyzed gene expression changes in a human airway epithelial cell line infected with two genetically distinct MERS-CoV strains obtained from human patients, MERS-CoV SA 1 and MERS-CoV Eng 1. RESULTS: Using topological techniques, including persistence homology and filtered clustering, we performed a comparative transcriptional analysis of human Calu-3 cell host responses to the different MERS-CoV strains, with MERS-CoV Eng 1 inducing early kinetic changes, between 3 and 12 hours post infection, compared to MERS-CoV SA 1. Robust transcriptional changes distinguished the two MERS-CoV strains predominantly at the late time points. Combining statistical analysis of infection and cytokine-stimulated Calu-3 transcriptomics, we identified differential innate responses, including up-regulation of extracellular remodeling genes following MERS-CoV Eng 1 infection and differential pro-inflammatory responses. CONCLUSIONS: Through our genomics-based approach, we found topological differences in the kinetics and magnitude of the host response to MERS-CoV SA 1 and MERS-CoV Eng 1, with differential expression of innate immune and pro-inflammatory responsive genes as a result of IFN, TNF and IL-1α signaling. Predicted activation for STAT3 mediating gene expression relevant for epithelial cell-to-cell adherens and junction signaling in MERS-CoV Eng 1 infection suggest that these transcriptional differences may be the result of amino acid differences in viral proteins known to modulate innate immunity during MERS-CoV infection.

Host genetic diversity enables Ebola hemorrhagic fever pathogenesis and resistance.

Existing mouse models of lethal Ebola virus infection do not reproduce hallmark symptoms of Ebola hemorrhagic fever, neither delayed blood coagulation and disseminated intravascular coagulation nor death from shock, thus restricting pathogenesis studies to nonhuman primates. Here we show that mice from the Collaborative Cross panel of recombinant inbred mice exhibit distinct disease phenotypes after mouse-adapted Ebola virus infection. Phenotypes range from complete resistance to lethal disease to severe hemorrhagic fever characterized by prolonged coagulation times and 100% mortality. Inflammatory signaling was associated with vascular permeability and endothelial activation, and resistance to lethal infection arose by induction of lymphocyte differentiation and cellular adhesion, probably mediated by the susceptibility allele Tek. These data indicate that genetic background determines susceptibility to Ebola hemorrhagic fever.

A proteomic glimpse into the initial global epigenetic changes during HIV infection.

HIV-1 replication requires the insertion of viral DNA into the host genome, which is catalyzed by HIV-1 integrase. This integration event can lead to vast changes in the chromatin landscape and gene transcription. In this study, we sought to correlate the extensive changes of histone PTM abundances with the equally dynamic shifts in host transcriptional activity. To fully capture the changes that were occurring during the course of HIV-infection, we performed time-courses in which we extracted both histones and mRNA from HIV-infected, UV-inactivated HIV-infected and mock-infected SUP-T1 cells. We then analyzed the alterations to histone PTM profiles using nano-LC-MS/MS, as well as the expression of chromatin-associated enzymes, such as histone deacetylases, acetyltransferases, demethylases, methyltransferases, and histone chaperone proteins. As expected, we observed major changes in histone PTM abundances, which we linked to massive fluctuations in mRNA expression of associated chromatin enzymes. However, we find few differences between HIV and HIVUV (UV-inactivated) infection, which suggests that initial histone PTM changes during HIV infection are from the host in response to the infection, and not due to the HIV virus manipulating the transcriptional machinery. We believe that these preliminary experiments can provide a basis for future forays into targeted manipulations of histone PTM-regulated aspects of HIV progression through its replication cycle.

Deep sequencing of HIV-infected cells: insights into nascent transcription and host-directed therapy.

UNLABELLED: Polyadenylated mature mRNAs are the focus of standard transcriptome analyses. However, the profiling of nascent transcripts, which often include nonpolyadenylated RNAs, can unveil novel insights into transcriptional regulation. Here, we separately sequenced total RNAs (Total RNAseq) and mRNAs (mRNAseq) from the same HIV-1-infected human CD4(+) T cells. We found that many nonpolyadenylated RNAs were differentially expressed upon HIV-1 infection, and we identified 8 times more differentially expressed genes at 12 h postinfection by Total RNAseq than by mRNAseq. These expression changes were also evident by concurrent changes in introns and were recapitulated by later mRNA changes, revealing an unexpectedly significant delay between transcriptional initiation and mature mRNA production early after HIV-1 infection. We computationally derived and validated the underlying regulatory programs, and we predicted drugs capable of reversing these HIV-1-induced expression changes followed by experimental confirmation. Our results show that combined total and mRNA transcriptome analysis is essential for fully capturing the early host response to virus infection and provide a framework for identifying candidate drugs for host-directed therapy against HIV/AIDS. IMPORTANCE: In this study, we used mass sequencing to identify genes differentially expressed in CD4(+) T cells during HIV-1 infection. To our surprise, we found many differentially expressed genes early after infection by analyzing both newly transcribed unprocessed pre-mRNAs and fully processed mRNAs, but not by analyzing mRNAs alone, indicating a significant delay between transcription initiation and mRNA production early after HIV-1 infection. These results also show that important findings could be missed by the standard practice of analyzing mRNAs alone. We then derived the regulatory mechanisms driving the observed expression changes using integrative computational analyses. Further, we predicted drugs that could reverse the observed expression changes induced by HIV-1 infection and showed that one of the predicted drugs indeed potently inhibited HIV-1 infection. This shows that it is possible to identify candidate drugs for host-directed therapy against HIV/AIDS using our genomics-based approach.

A comprehensive collection of systems biology data characterizing the host response to viral infection.

The Systems Biology for Infectious Diseases Research program was established by the U.S. National Institute of Allergy and Infectious Diseases to investigate host-pathogen interactions at a systems level. This program generated 47 transcriptomic and proteomic datasets from 30 studies that investigate in vivo and in vitro host responses to viral infections. Human pathogens in the Orthomyxoviridae and Coronaviridae families, especially pandemic H1N1 and avian H5N1 influenza A viruses and severe acute respiratory syndrome coronavirus (SARS-CoV), were investigated. Study validation was demonstrated via experimental quality control measures and meta-analysis of independent experiments performed under similar conditions. Primary assay results are archived at the GEO and PeptideAtlas public repositories, while processed statistical results together with standardized metadata are publically available at the Influenza Research Database (www.fludb.org) and the Virus Pathogen Resource (www.viprbrc.org). By comparing data from mutant versus wild-type virus and host strains, RNA versus protein differential expression, and infection with genetically similar strains, these data can be used to further investigate genetic and physiological determinants of host responses to viral infection.

Cell host response to infection with novel human coronavirus EMC predicts potential antivirals and important differences with SARS coronavirus.

UNLABELLED: A novel human coronavirus (HCoV-EMC) was recently identified in the Middle East as the causative agent of a severe acute respiratory syndrome (SARS) resembling the illness caused by SARS coronavirus (SARS-CoV). Although derived from the CoV family, the two viruses are genetically distinct and do not use the same receptor. Here, we investigated whether HCoV-EMC and SARS-CoV induce similar or distinct host responses after infection of a human lung epithelial cell line. HCoV-EMC was able to replicate as efficiently as SARS-CoV in Calu-3 cells and similarly induced minimal transcriptomic changes before 12 h postinfection. Later in infection, HCoV-EMC induced a massive dysregulation of the host transcriptome, to a much greater extent than SARS-CoV. Both viruses induced a similar activation of pattern recognition receptors and the interleukin 17 (IL-17) pathway, but HCoV-EMC specifically down-regulated the expression of several genes within the antigen presentation pathway, including both type I and II major histocompatibility complex (MHC) genes. This could have an important impact on the ability of the host to mount an adaptive host response. A unique set of 207 genes was dysregulated early and permanently throughout infection with HCoV-EMC, and was used in a computational screen to predict potential antiviral compounds, including kinase inhibitors and glucocorticoids. Overall, HCoV-EMC and SARS-CoV elicit distinct host gene expression responses, which might impact in vivo pathogenesis and could orient therapeutic strategies against that emergent virus. IMPORTANCE: Identification of a novel coronavirus causing fatal respiratory infection in humans raises concerns about a possible widespread outbreak of severe respiratory infection similar to the one caused by SARS-CoV. Using a human lung epithelial cell line and global transcriptomic profiling, we identified differences in the host response between HCoV-EMC and SARS-CoV. This enables rapid assessment of viral properties and the ability to anticipate possible differences in human clinical responses to HCoV-EMC and SARS-CoV. We used this information to predict potential effective drugs against HCoV-EMC, a method that could be more generally used to identify candidate therapeutics in future disease outbreaks. These data will help to generate hypotheses and make rapid advancements in characterizing this new virus.

Next-generation sequencing of small RNAs from HIV-infected cells identifies phased microrna expression patterns and candidate novel microRNAs differentially expressed upon infection.

HIV infection of CD4(+) T cells induces a range of host transcriptional changes in mRNAs as well as microRNAs that may coordinate changes in mRNAs. To survey these dynamic changes, we applied next-generation sequencing, analyzing the small RNA fraction of HIV-infected cells at 5, 12, and 24 h postinfection (RNA-Seq). These time points afforded a view of the transcriptomic changes occurring both before and during viral replication. In the resulting small RNA-Seq data set, we detected a phased pattern of microRNA expression. Largely distinct sets of microRNAs were found to be suppressed at 5 and 12 h postinfection, and both sets of changes rebounded later in infection. A larger set of microRNA changes was observed at 24 h postinfection. When integrated with mRNA expression data, the small RNA-Seq data indicated a role for microRNAs in transcriptional regulation, T cell activation, and cell cycle during HIV infection. As a unique benefit of next-generation sequencing, we also detected candidate novel host microRNAs differentially expressed during infection, including one whose downregulation at 24 h postinfection may allow full replication of HIV to proceed. Collectively, our data provide a uniquely comprehensive view of the changes in host microRNAs induced by HIV during cellular infection. IMPORTANCE New sequencing technologies allow unprecedented views into changes occurring in virus-infected cells, including comprehensive and largely unbiased measurements of different types of RNA. In this study, we used next-generation sequencing to profile dynamic changes in cellular microRNAs occurring in HIV-infected cells. The sensitivity afforded by sequencing allowed us to detect changes in microRNA expression early in infection, before the onset of viral replication. A phased pattern of expression was evident among these microRNAs, and many that were initially suppressed were later overexpressed at the height of infection, providing unique signatures of infection. By integrating additional mRNA data with the microRNA data, we identified a role for microRNAs in transcriptional regulation during infection and specifically a network of microRNAs involved in the expression of a known HIV cofactor. Finally, as a distinct benefit of sequencing, we identified candidate nonannotated microRNAs, including one whose downregulation may allow HIV-1 replication to proceed fully.

Quantitative proteomic analysis of HIV-1 infected CD4+ T cells reveals an early host response in important biological pathways: protein synthesis, cell proliferation, and T-cell activation.

Human immunodeficiency virus (HIV-1) depends upon host-encoded proteins to facilitate its replication while at the same time inhibiting critical components of innate and/or intrinsic immune response pathways. To characterize the host cell response on protein levels in CD4+ lymphoblastoid SUP-T1 cells after infection with HIV-1 strain LAI, we used mass spectrometry (MS)-based global quantitation with iTRAQ (isobaric tag for relative and absolute quantification). We found 266, 60 and 22 proteins differentially expressed (DE) (P-value ≤ 0.05) at 4, 8, and 20 hours post-infection (hpi), respectively, compared to time-matched mock-infected samples. The majority of changes in protein abundance occurred at an early stage of infection well before the de novo production of viral proteins. Functional analyses of these DE proteins showed enrichment in several biological pathways including protein synthesis, cell proliferation, and T-cell activation. Importantly, these early changes before the time of robust viral production have not been described before.

Stitching together multiple data dimensions reveals interacting metabolomic and transcriptomic networks that modulate cell regulation.

Cells employ multiple levels of regulation, including transcriptional and translational regulation, that drive core biological processes and enable cells to respond to genetic and environmental changes. Small-molecule metabolites are one category of critical cellular intermediates that can influence as well as be a target of cellular regulations. Because metabolites represent the direct output of protein-mediated cellular processes, endogenous metabolite concentrations can closely reflect cellular physiological states, especially when integrated with other molecular-profiling data. Here we develop and apply a network reconstruction approach that simultaneously integrates six different types of data: endogenous metabolite concentration, RNA expression, DNA variation, DNA-protein binding, protein-metabolite interaction, and protein-protein interaction data, to construct probabilistic causal networks that elucidate the complexity of cell regulation in a segregating yeast population. Because many of the metabolites are found to be under strong genetic control, we were able to employ a causal regulator detection algorithm to identify causal regulators of the resulting network that elucidated the mechanisms by which variations in their sequence affect gene expression and metabolite concentrations. We examined all four expression quantitative trait loci (eQTL) hot spots with colocalized metabolite QTLs, two of which recapitulated known biological processes, while the other two elucidated novel putative biological mechanisms for the eQTL hot spots.

Next-generation sequencing reveals HIV-1-mediated suppression of T cell activation and RNA processing and regulation of noncoding RNA expression in a CD4+ T cell line.

UNLABELLED: Next-generation sequencing (NGS) enables the highly sensitive measurement of whole transcriptomes. We report the first application to our knowledge of this technology to the analysis of RNA from a CD4+ T cell line infected with intact HIV. We sequenced the total mRNA from infected cells and detected differences in the expression of both host and viral mRNA. Viral reads represented a large portion of the total mapped sequencing reads: approximately 20% at 12 h postinfection (hpi) and 40% at 24 hpi. We also detected a small but significant suppression of T cell activation-related genes at 12 hpi. This suppression persisted and expanded by 24 hpi, providing new possible markers of virus-induced T cell cytopathology. By 24 hpi, the expression of over 50% of detectable host loci was also altered, indicating widespread alteration of host processes, including RNA processing, splicing, and transport to an extent not previously reported. In addition, next-generation sequencing provided insights into alternative viral RNA splice events and the expression of noncoding RNAs, including microRNA host genes. IMPORTANCE: Recent advances in sequencing technology now allow the measurement of effectively all the RNA in a cell. This approach is especially useful for studying models of virus infection, as it allows the simultaneous measurement of both host and viral RNA. Using next-generation sequencing (NGS), we measured changes in total mRNA from a HIV-infected T cell line. To our knowledge, this is the first application of this technology to the investigation of HIV-host interactions involving intact HIV. We directly measured the amount of viral mRNA in infected cells and detected novel viral RNA splice variants and changes in the host expression of noncoding RNA species. We also detected small changes in T cell activation and other host processes during the early stages of viral replication that increased near the peak of viral replication, providing new candidate biomarkers of T cell death.

Analysis of epithelial and mesenchymal markers in ovarian cancer reveals phenotypic heterogeneity and plasticity.

In our studies of ovarian cancer cells we have identified subpopulations of cells that are in a transitory E/M hybrid stage, i.e. cells that simultaneously express epithelial and mesenchymal markers. E/M cells are not homogenous but, in vitro and in vivo, contain subsets that can be distinguished based on a number of phenotypic features, including the subcellular localization of E-cadherin, and the expression levels of Tie2, CD133, and CD44. A cellular subset (E/M-MP) (membrane E-cadherin(low)/cytoplasmic E-cadherin(high)/CD133(high), CD44(high), Tie2(low)) is highly enriched for tumor-forming cells and displays features which are generally associated with cancer stem cells. Our data suggest that E/M-MP cells are able to differentiate into different lineages under certain conditions, and have the capacity for self-renewal, i.e. to maintain a subset of undifferentiated E/M-MP cells during differentiation. Trans-differentiation of E/M-MP cells into mesenchymal or epithelial cells is associated with a loss of stem cell markers and tumorigenicity. In vivo xenograft tumor growth is driven by E/M-MP cells, which give rise to epithelial ovarian cancer cells. In contrast, in vitro, we found that E/M-MP cells differentiate into mesenchymal cells, in a process that involves pathways associated with an epithelial-to-mesenchymal transition. We also detected phenotypic plasticity that was dependent on external factors such as stress created by starvation or contact with either epithelial or mesenchymal cells in co-cultures. Our study provides a better understanding of the phenotypic complexity of ovarian cancer and has implications for ovarian cancer therapy.

Bisulfite-free analysis of 5MeC-binding proteins and locus-specific methylation density using a microparticle-based flow cytometry assay.

DNA methylation analysis is emerging as a new technique with potential capabilities for early cancer detection. However, current state-of-the-art techniques are not easily translatable into routine clinical methods. Herein we describe a bead-based flow cytometry assay which combines DNA hybridization to microparticles with 5MeC-specific proteins/antibodies. These assays can be used to study the binding properties of current and emerging 5MeC-binding proteins and may also have potential in the measurement of 5MeC density in clinical samples for cancer detection.

Epithelial phenotype confers resistance of ovarian cancer cells to oncolytic adenoviruses.

We studied the susceptibility of primary ovarian cancer cells to oncolytic adenoviruses. Using gene expression profiling of cancer cells either resistant or susceptible to viral oncolysis, we discovered that the epithelial phenotype of ovarian cancer represents a barrier to infection by commonly used oncolytic adenoviruses targeted to coxsackie-adenovirus receptor or CD46. Specifically, we found that these adenovirus receptors were trapped in tight junctions and not accessible for virus binding. Accessibility to viral receptors was critically linked to depolarization and the loss of tight and adherens junctions, both hallmarks of epithelial-to-mesenchymal transition (EMT). We showed that specific, thus far little-explored adenovirus serotypes (Ad3, Ad7, Ad11, and Ad14) that use receptor(s) other than coxsackie-adenovirus receptor and CD46 were able to trigger EMT in epithelial ovarian cancer cells and cause efficient oncolysis. Our studies on ovarian cancer cultures and xenografts also revealed several interesting cancer cell biology features. Tumors in situ as well as tumor xenografts in mice mostly contained epithelial cells and cells that were in a hybrid stage where they expressed both epithelial and mesenchymal markers (epithelial/mesenchymal cells). These epithelial/mesenchymal cells are the only xenograft-derived cells that can be cultured and with passaging undergo EMT and differentiate into mesenchymal cells. Our study provides a venue for improved virotherapy of cancer as well as new insights into cancer cell biology.

Development of a multiplexed bead-based assay for detection of DNA methylation in cancer-related genes.

Herein we report a method for the detection of methylated CpG dinucleotides located within CpG islands in genomic DNA using multiplexed bead-based assays and standard flow cytometry instrumentation. Four CpG "clusters" were identified in the TFPI2 and SPARC CpG islands whose methylation status was highly correlated with the incidence of invasive cervical cancer in our previous studies. Eight probes in total were designed for both the methylated and unmethylated forms of each cluster and attached to different fluorescently-encoded organosilica bead sets. Probe design was investigated by changing either the length of probes whilst keeping the melting temperature constant, or changing the melting temperature and keeping the probe length constant. Asymmetric polymerase chain reaction (PCR) methods designed without methylation-specific primers were used to prepare fluorescently-labelled targets based on bisulfite-converted genomic DNA. After investigating the specificity of the probes in a model system using fluorescently-labelled synthetic oligonucleotides, cancer cell-line DNA was analysed and the constant length probe design facilitated the correct genotyping of all clusters with respect to negative controls.

Role of chromatin structure in integration of helper-dependent adenoviral vectors containing the beta-globin locus control region.

We constructed helper-dependent, fiber-chimeric adenoviral vectors that efficiently transduce human hematopoietic stem cells. We found that vectors carrying a 23-kb fragment of the beta-globin locus control region (LCR) flanked by adeno-associated virus inverted terminal repeats (Ad.LCR) preferentially integrated into the chromosomal beta-globin LCR of human erythroid Mo7e cells. We hypothesized that this targeted integration involves beta-globin LCR-specific chromatin structures. Chromatin immunoprecipitation assays of the beta-globin LCR revealed active chromatin within, and immediately downstream of, DNase hypersensitivity region 2 (HS2) in erythroid Mo7e cells, but not in nonerythroid cells. Importantly, most of the Ad.LCR integrations in Mo7e cells were found within this area. We provide further data indicating tethering of incoming Ad.LCR genomes to the chromosomal LCR. We also provide data that suggest a role for active chromatin in AAV Rep78-mediated Ad.LCR integration. Our findings support a new strategy for achieving targeted integration through chromatin tethering of vector DNA.

Promoter hypermethylation of tumor suppressor genes in urine from patients with cervical neoplasia.

We examined the feasibility of using detection of high-risk human papillomavirus (HPV) DNA in combination with the presence of aberrantly methylated genes (DAPK1, RARB, TWIST1, and CDH13) for urine-based cervical cancer screening. Urine samples from 129 Senegalese women, aged 35 years or older, 110 with (same day) biopsy-proven cervical neoplasia [cervical intraepithelial neoplasia grade 1 (CIN-1): n = 9; CIN-2-3/carcinoma in situ (CIS): n = 29; invasive cervical cancer (ICC): n = 72], and 19 without cervical neoplasia on biopsy were examined. Hypermethylation of at least one of the four genes identified 62% of ICC and 28% of CIN-2-3/CIS and was present in only 4% of CIN-1 or normal urines. High-risk HPV DNA was detected in urine in 70% of those with biopsy-proven ICC, 59% of those with CIN-2-3/CIS on biopsy, 44% of those with CIN-1 on biopsy, and only 11% of women negative for cervical neoplasia on biopsy. Urine-based detection of either high-risk HPV or hypermethylation of any of the four genes identified 84% of ICC, 64% of CIN-2-3/CIS, 44% of CIN-1, but only 19% of women negative for cervical neoplasia. The sensitivity for detection of CIN-2-3/CIS/ICC by high-risk HPV DNA or aberrant DNA methylation of four genes seems to be comparable to that of an exfoliated cervical cytology. This study shows the potential feasibility of using molecular markers detected in urine for cervical cancer screening.

Discovery of novel methylation biomarkers in cervical carcinoma by global demethylation and microarray analysis.

A genome-wide screening study for identification of hypermethylated genes in invasive cervical cancer (ICC) was carried out to augment our previously discovered panel of three genes found to be useful for detection of ICC and its precursor neoplasia. Putatively hypermethylated and silenced genes were reactivated in four ICC cell lines by treatment with 5-aza-2'-deoxycytidine and trichostatin A and identified on expression microarrays. Thirty-nine of the 235 genes up-regulated in multiple ICC cell lines were further examined to determine the methylation status of associated CpG islands. The diagnostic use of 23 genes that were aberrantly methylated in multiple ICC cell lines were then analyzed in DNA from exfoliated cells obtained from patients with or without ICC. We show, for the first time, that aberrant methylation of six genes (SPARC, TFPI2, RRAD, SFRP1, MT1G, and NMES1) is present in a high proportion of ICC clinical samples but not in normal samples. Of these genes, SPARC and TFPI2 showed the highest frequency of aberrant methylation in ICC specimens (86.4% for either) and together were hypermethylated in all but one ICC cases examined. We conclude that expression profiling of epigenetically reactivated genes followed by methylation analysis in clinical samples is a powerful tool for comprehensive identification of methylation markers. Several novel genes identified in our study may be clinically useful for detection or stratification of ICC and/or of its precursor lesions and provide a basis for better understanding of mechanisms involved in development of ICC.