Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Dominic A. Scudiero is active.

Publication


Featured researches published by Dominic A. Scudiero.


Nature Medicine | 2003

Identification of PDGFR as a receptor for AAV-5 transduction.

Giovanni Di Pasquale; Beverly L. Davidson; Colleen S. Stein; Inês Martins; Dominic A. Scudiero; Anne Monks; John A. Chiorini

Understanding the process of vector transduction has important implications for the application and optimal use of a vector system for human gene therapy. Recent studies with vectors based on adeno-associated virus type 5 (AAV-5) have shown utility of this vector system in the lung, central nervous system, muscle and eye. To understand the natural tropism of this virus and to identify proteins necessary for AAV-5 transduction, we characterized 43 cell lines as permissive or nonpermissive for AAV-5 transduction and compared the gene expression profiles derived from cDNA microarray analyses of those cell lines. A statistically significant correlation was observed between expression of the platelet-derived growth factor receptor (PDGFR-α-polypeptide) and AAV-5 transduction. Subsequent experiments confirmed the role of PDGFR-α and PDGFR-β as receptors for AAV-5. The tropism of AAV-5 in vivo also correlated with the expression pattern of PDGFR-α.


Molecular Cancer Therapeutics | 2007

Transcript and protein expression profiles of the NCI-60 cancer cell panel: an integromic microarray study

Uma Shankavaram; William C. Reinhold; Satoshi Nishizuka; Sylvia Major; Daisaku Morita; Krishna K. Chary; Mark Reimers; Uwe Scherf; Ari Kahn; Douglas Dolginow; Jeffrey Cossman; Eric P. Kaldjian; Dominic A. Scudiero; Emanuel F. Petricoin; Lance A. Liotta; Jae K. Lee; John N. Weinstein

To evaluate the utility of transcript profiling for prediction of protein expression levels, we compared profiles across the NCI-60 cancer cell panel, which represents nine tissues of origin. For that analysis, we present here two new NCI-60 transcript profile data sets (A based on Affymetrix HG-U95 and HG-U133A chips; Affymetrix, Santa Clara, CA) and one new protein profile data set (based on reverse-phase protein lysate arrays). The data sets are available online at http://discover.nci.nih.gov in the CellMiner program package. Using the new transcript data in combination with our previously published cDNA array and Affymetrix HU6800 data sets, we first developed a “consensus set” of transcript profiles based on the four different microarray platforms. Using that set, we found that 65% of the genes showed statistically significant transcript-protein correlation, and the correlations were generally higher than those reported previously for panels of mammalian cells. Using the predictive analysis of microarray nearest shrunken centroid algorithm for functional prediction of tissue of origin, we then found that (a) the consensus mRNA set did better than did data from any of the individual mRNA platforms and (b) the protein data seemed to do somewhat better (P = 0.027) on a gene-for-gene basis in this particular study than did the consensus mRNA data, but both did well. Analysis based on the Gene Ontology showed protein levels of structure-related genes to be well predicted by mRNA levels (mean r = 0.71). Because the transcript-based technologies are more mature and are currently able to assess larger numbers of genes at one time, they continue to be useful, even when the ultimate aim is information about proteins. [Mol Cancer Ther 2007;6(3):820–32]


Cancer Research | 2008

Integrating global gene expression and radiation survival parameters across the 60 cell lines of the National Cancer Institute Anticancer Drug Screen

Sally A. Amundson; Khanh Do; Lisa Vinikoor; R. Anthony Lee; Christine A. Koch-Paiz; Jaeyong Ahn; Mark Reimers; Yidong Chen; Dominic A. Scudiero; John N. Weinstein; Jeffrey M. Trent; Michael L. Bittner; Paul S. Meltzer; Albert J. Fornace

The 60 cell lines of the National Cancer Institute Anticancer Drug Screen (NCI-60) constitute the most extensively characterized in vitro cancer cell model. They have been tested for sensitivity to more than 100,000 potential chemotherapy agents and have been profiled extensively at the DNA, RNA, protein, functional, and pharmacologic levels. We have used the NCI-60 cell lines and three additional lines to develop a database of responses of cancer cells to ionizing radiation. We compared clonogenic survival, apoptosis, and gene expression response by microarray. Although several studies have profiled relative basal gene expression in the NCI-60, this is the first comparison of large-scale gene expression changes in response to genotoxic stress. Twenty-two genes were differentially regulated in cells with low survival after 2-Gy gamma-rays; 14 genes identified lines more sensitive to 8 Gy. Unlike reported basal gene expression patterns, changes in expression in response to radiation showed little tissue-of-origin effect, except for differentiating the lymphoblastoid cell lines from other cell types. Basal expression patterns, however, discriminated well between radiosensitive and more resistant lines, possibly being more informative than radiation response signatures. The most striking patterns in the radiation data were a set of genes up-regulated preferentially in the p53 wild-type lines and a set of cell cycle regulatory genes down-regulated across the entire NCI-60 panel. The response of those genes to gamma-rays seems to be unaffected by the myriad of genetic differences across this diverse cell set; it represents the most penetrant gene expression response to ionizing radiation yet observed.


Journal of the National Cancer Institute | 2011

Novel Effect of Antihelminthic Niclosamide on S100A4-Mediated Metastatic Progression in Colon Cancer

Ulrike Sack; Wolfgang Walther; Dominic A. Scudiero; Mike Selby; Dennis Kobelt; Margit Lemm; Iduna Fichtner; Peter M. Schlag; Robert H. Shoemaker; Ulrike Stein

BACKGROUND Metastasis formation in colon cancer severely reduces the survival rate in patients. S100A4, a calcium-binding protein, is implicated in promoting metastasis formation in colon cancer. METHODS To identify a transcription inhibitor of S100A4, high-throughput screening of 1280 pharmacologically active compounds was performed using a human colon cancer cell line expressing a S100A4 promoter-driven luciferase (LUC) reporter gene construct (HCT116-S1004p-LUC). Niclosamide, an antihelminthic agent, was identified as a potential candidate. Colon cancer cell lines (HCT116, SW620, LS174T, SW480, and DLD-1) were treated with 1 μM niclosamide to analyze the effect on S100A4 mRNA and protein expression by quantitative reverse transcription-polymerase chain reaction and immunoblot assays, and effects on cell migration, invasion, proliferation, and colony formation were also assessed in vitro. The effect of niclosamide on liver metastasis was assessed in a xenograft mouse model of human colon cancer (n = 8 mice) by in vivo imaging. The long-term effect of niclosamide on metastasis formation after discontinued treatment was quantified by scoring, and overall survival (n = 12 mice) was analyzed by Kaplan-Meier method after discontinuation of treatment. All statistical tests were two-sided. RESULTS Reduced S100A4 mRNA and protein expression, and inhibited cell migration, invasion, proliferation, and colony formation were observed in niclosamide-treated colon cancer cells in vitro. In vivo imaging of niclosamide-treated mice showed reduced liver metastasis compared with solvent-treated control mice (n = 4 mice per group). Compared with the control group, discontinuation of treatment for 26 days showed reduced liver metastasis formation in mice (n = 6 mice per group) (control vs discontinuous treatment, mean metastasis score = 100% vs 34.9%, mean difference = 65.1%; 95% confidence interval [CI] = 18.4% to 111.9%, P < .01) and increased overall survival (n = 6 mice per group; control vs discontinuous treatment, median survival = 24 vs 46.5 days, ratio = 0.52, 95% CI = 0.19 to 0.84, P = .001). CONCLUSION Niclosamide inhibits S100A4-induced metastasis formation in a mouse model of colon cancer and has therapeutic potential.


Stem Cells | 2010

Complex display of putative tumor stem cell markers in the NCI60 tumor cell line panel.

Christina H. Stuelten; Susan D. Mertins; Johanna I. Busch; Meghan Gowens; Dominic A. Scudiero; Mark W. Burkett; Karen M. Hite; Mike Alley; Melinda G. Hollingshead; Robert H. Shoemaker; John E. Niederhuber

Tumor stem cells or cancer initiating cells (CICs) are single tumor cells that can regenerate a tumor or a metastasis. The identification and isolation of CICs remain challenging, and a variety of putative CIC markers have been described. We hypothesized that cell lines of the NCI60 panel contain CICs and express putative CIC markers. We investigated expression of putative CIC surface markers (CD15, CD24, CD44, CD133, CD166, CD326, PgP) and the activity of aldehyde dehydrogenase in the NCI60 panel singly and in combination by six‐color fluorescence‐activated cell sorting analysis. All investigated markers were expressed in cell lines of the NCI60 panel. Expression levels of individual markers varied widely across the 60 cell lines, and neither single marker expression nor simple combinations nor co‐expression patterns correlated with the colony‐formation capacity of cell lines. Rather, marker expression patterns correlated with tumor types in multidimensional analysis. Whereas some expression patterns correlated with tumor entities such as basal breast cancer, other expression patterns occurred across different tumor types and largely related to expression of a more mesenchymal phenotype in individual breast, lung, renal, and melanoma cell lines. Our data for the first time demonstrate that tumor cell lines display CIC markers in a complex pattern that relates to the tumor type. The complexity and tumor type specificity of marker display creates challenges for the application of cell sorting and other approaches to isolation of putative tumor stem cell populations and suggests that therapeutic targeting strategies will need to take this into account. STEM CELLS 2010;28:649–66028:649–660


Molecular Biology of the Cell | 2011

S100A4-induced cell motility and metastasis is restricted by the Wnt/β-catenin pathway inhibitor calcimycin in colon cancer cells

Ulrike Sack; Wolfgang Walther; Dominic A. Scudiero; Mike Selby; Jutta Aumann; Clara Lemos; Iduna Fichtner; Peter M. Schlag; Robert H. Shoemaker; Ulrike Stein

Calcimycin restricts Wnt/β-catenin–regulated S100A4 expression, leading to reduced S100A4-mediated cell migration and invasion in colon cancer cells, as well as to inhibition of metastasis formation in xenografted mice.


American Journal of Pathology | 2001

Expression and potential role of Fas-associated phosphatase-1 in ovarian cancer.

Ivo Meinhold-Heerlein; Frank Stenner-Liewen; Heike Liewen; Shinichi Kitada; Maryla Krajewska; Stanislaw Krajewski; Juan M. Zapata; Anne Monks; Dominic A. Scudiero; Thomas Bauknecht; John C. Reed

Fas-associated phosphatase-1 (FAP-1) is a protein-tyrosine phosphatase that binds the cytosolic tail of Fas (Apo1, CD95), presumably regulating Fas-induced apoptosis. Elevations of FAP-1 protein levels in some tumor cell lines have been correlated with resistance to Fas-induced apoptosis. To explore the expression of FAP-1 in ovarian cancer cell lines and archival tumor specimens, mouse monoclonal and rabbit polyclonal antibodies were generated against a FAP-1 peptide and recombinant FAP-1 protein. These antibodies were used for immunoblotting, immunohistochemistry, and flow-cytometry analysis of FAP-1 expression in the Fas-sensitive ovarian cancer lines HEY and BG-1, and in the Fas-resistant lines OVCAR-3 FR and SK-OV-3. All methods demonstrated high levels of FAP-1 in the resistant lines OVCAR-3 FR and SK-OV-3, but not in the Fas-sensitive lines HEY and BG-1. Furthermore, levels of FAP-1 protein also correlated with the amounts of FAP-1 mRNA, as determined by reverse transcriptase-polymerase chain reaction analysis. FAP-1 protein levels were investigated by immunoblotting in the National Cancer Institutes panel of 60 human tumor cell lines. Although FAP-1 failed to correlate with Fas-resistance across the entire tumor panel, Fas-resistance correlated significantly with FAP-1 expression (P: < or = 0.05) and a low Fas/FAP-1 ratio (P: < or = 0.028) in ovarian cancer cell lines. FAP-1 expression was also evaluated in 95 archival ovarian cancer specimens using tissue-microarray technology. FAP-1 was expressed in nearly all tumors, regardless of histological type or grade, stage, patient age, response to chemotherapy, or patient survival. We conclude that FAP-1 correlates significantly with Fas resistance in ovarian cancer cell lines and is commonly expressed in ovarian cancers.


Journal of Cell Science | 1987

The Role of O6-Methylguanine in Human Cell Killing, Sister Chromatid Exchange Induction and Mutagenesis: A Review

Rufus S. Day; Michael A. Babich; Daniel B. Yarosh; Dominic A. Scudiero

SUMMARY O6-methylguanine (O6mG) produced in DNA by such SN1 methylating agents as N-methyl-N-nitrososurea and N-methyl-N′-nitro-N-nitrosoguanidine (MNNG) has been suggested by some to be the lesion that leads to certain biological endpoints in mammalian cells: cell killing, sister chromatid exchange (SCE) production, mutagenesis and cellular transformation. Other evidence is interpreted as inconsistent with this point of view. The finding of Karran & Williams (1985) that O6mG delivered to cells in culture resulted in the depletion of the activity of the protein responsible for repair of O6mG in DNA (O6mG-DNA methyltransferase, O6MT) provided a tool for the assessment of the role of O6mG in producing biological endpoints. In this paper we review much of the literature on human cells pertinent to this question. In addition we present our survival data obtained using the depletion technique of Karran & Williams as well as data supporting a model invoking a mismatch and excision response to O6mG proposed by Sklar & Strauss (1980). Although data linking O6mG to causation are inconclusive, it is premature to conclude that O6mG is not a lesion lethal to certain cultured cells.


PLOS ONE | 2012

Identification of CBX3 and ABCA5 as Putative Biomarkers for Tumor Stem Cells in Osteosarcoma

Vaibhav Saini; Curtis Hose; Anne Monks; Kunio Nagashima; Bingnan Han; Dianne L. Newton; Angelena Millione; Jalpa Shah; Melinda G. Hollingshead; Karen M. Hite; Mark W. Burkett; Rene Delosh; Thomas Silvers; Dominic A. Scudiero; Robert H. Shoemaker

Recently, there has been renewed interest in the role of tumor stem cells (TSCs) in tumorigenesis, chemoresistance, and relapse of malignant tumors including osteosarcoma. The potential exists to improve osteosarcoma treatment through characterization of TSCs and identification of therapeutic targets. Using transcriptome, proteome, immunophenotyping for cell-surface markers, and bioinformatic analyses, heterogeneous expression of previously reported TSC or osteosarcoma markers, such as CD133, nestin, POU5F1 (OCT3/4), NANOG, SOX2, and aldehyde dehydrogenase, among others, was observed in vitro. However, consistently significantly lower CD326, CD24, CD44, and higher ABCG2 expression in TSC-enriched as compared with un-enriched osteosarcoma cultures was observed. In addition, consistently higher CBX3 expression in TSC-enriched osteosarcoma cultures was identified. ABCA5 was identified as a putative biomarker of TSCs and/or osteosarcoma. Lastly, in a high-throughput screen we identified epigenetic (5-azacytidine), anti-microtubule (vincristine), and anti-telomerase (3,11-difluoro-6,8,13-trimethyl- 8H-quino [4,3,2-kl] acridinium methosulfate; RHPS4)-targeted therapeutic agents as candidates for TSC ablation in osteosarcoma.


Molecular Pharmacology | 2007

Identification of a Bis-guanylhydrazone [4,4'-Diacetyldiphenylurea-bis(guanylhydrazone); NSC 109555] as a novel chemotype for inhibition of Chk2 kinase.

Andrew Jobson; John H. Cardellina; Dominic A. Scudiero; Hongliang Zhang; Hijoo Kim; Robert H. Shoemaker; Yves Pommier

Chk2 is a protein kinase involved in the ATM-dependent checkpoint pathway (http://discover.nci.nih.gov/mim). This pathway is activated by genomic instability and DNA damage and results in either cell cycle arrest, to allow DNA repair to occur, or cell death (apoptosis). Chk2 is activated by ATM-mediated phosphorylation and autophosphorylation and in turn phosphorylates its downstream targets (Cdc25A, Cdc25C, BRCA1, p53, Hdmx, E2F1, PP2A, and PML). Inhibition of Chk2 has been proposed to sensitize p53-deficient cells as well as protect normal tissue after exposure to DNA-damaging agents. We have developed a drug-screening program for specific Chk2 inhibitors using a fluorescence polarization assay, immobilized metal ion affinity-based fluorescence polarization (IMAP). This assay detects the degree of phosphorylation of a fluorescently linked substrate by Chk2. From a screen of over 100,000 compounds from the NCI Developmental Therapeutics Program, we identified a bis-guanylhydrazone [4,4′-diacetyldiphenylureabis(guanylhydrazone); NSC 109555] as a lead compound. In vitro data show the specific inhibition of Chk2 kinase activity by NSC 109555 using in vitro kinase assays and kinase-profiling experiments. NSC 109555 was shown to be a competitive inhibitor of Chk2 with respect to ATP, which was supported by docking of NSC 109555 into the ATP binding pocket of the Chk2 catalytic domain. The potency of NSC 109555 was comparable with that of other known Chk2 inhibitors, such as debromohymenialdisine and 2-arylbenzimidazole. These data define a novel chemotype for the development of potent and selective inhibitors of Chk2. This class of drugs may ultimately be useful in combination with current DNA-damaging agents used in the clinic.

Collaboration


Dive into the Dominic A. Scudiero's collaboration.

Top Co-Authors

Avatar

Robert H. Shoemaker

Science Applications International Corporation

View shared research outputs
Top Co-Authors

Avatar

Anne Monks

Science Applications International Corporation

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Michael R. Boyd

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Kenneth D. Paull

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Michael J. Currens

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Karen M. Hite

Science Applications International Corporation

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

John N. Weinstein

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Yves Pommier

National Institutes of Health

View shared research outputs
Researchain Logo
Decentralizing Knowledge