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Bentley CD, Edwards RD, Andrew JE, James SF, Gardner MD, Comley AJ, Vaughan K, Horsfield CJ, Rubery MS, Rothman SD, Daykin S, Masoero SJ, Palmer JB, Meadowcroft AL, Williams BM, Gumbrell ET, Fyrth JD, Brown CRD, Hill MP, Oades K, Wright MJ, Hood BA, Kemshall P. ORION laser target diagnostics. Rev Sci Instrum 2012; 83:10D732. [PMID: 23126904 DOI: 10.1063/1.4748850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
The ORION laser facility is one of the UK's premier laser facilities which became operational at AWE in 2010. Its primary mission is one of stockpile stewardship, ORION will extend the UK's experimental plasma physics capability to the high temperature, high density regime relevant to Atomic Weapons Establishment's (AWE) program. The ORION laser combines ten laser beams operating in the ns regime with two sub ps short pulse chirped pulse amplification beams. This gives the UK a unique combined long pulse/short pulse laser capability which is not only available to AWE personnel but also gives access to our international partners and visiting UK academia. The ORION laser facility is equipped with a comprehensive suite of some 45 diagnostics covering optical, particle, and x-ray diagnostics all able to image the laser target interaction point. This paper focuses on a small selection of these diagnostics.
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Affiliation(s)
- C D Bentley
- Plasma Physics Department, Atomic Weapons Establishment, Aldermaston, Reading, Berkshire, England, UK.
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Rhodes D, Tomlins S, Williams P, Sadis S, Wyngaard P, Oades K, Chattopadhyay S, Wang Y, Monforte J, Lee BI. P1-07-04: Gene Expression Module Biomarkers To Stratify Multiple Clinical and Therapeutic Endpoints for Universal Breast Cancer Companion Diagnostic. Cancer Res 2011. [DOI: 10.1158/0008-5472.sabcs11-p1-07-04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Gene expression patterns are increasingly capable of stratifying patients based on prognosis and response to therapy. Given the limited availability of sample tissue, however, it is not feasible to run many tests, suggesting the need for a universal companion diagnostic assay that is informative with respect to multiple clinical and therapeutic endpoints. Key challenges are identification of appropriate gene expression biomarkers, translation of biomarkers to clinical assays, and development of reliable gene expression profiling of formalin-fixed clinical specimens. Here, we describe a meta-analysis approach that identifies novel biomarker modules that results in multiple clinical and therapeutic read-outs.
A co-expression meta-analysis of 5,339 breast tumors from 56 microarray datasets identified highly co-expressed sets of genes (modules) across multiple datasets. These module based biomarkers were tested for their ability to associate with prognostic and predictive targets in published datasets. In addition, each module was reduced from 10 - 1,000 genes to the top performing 2–3 genes based on the degree of co-expression across the meta-analysis and validation by quantitative PCR in an independent panel of FFPE tumor samples. This study demonstrates that a single 96 gene qPCR test utilizing multiple module biomarkers is not only capable of stratifying patients by standard histopathological parameters (ER, PR and Her2), but also stratifies by other diverse elements of the disease (cell lineage, dysregulated core biological functions, factors of cell growth, underlying genomic aberrations and the tumor microenvironment). Taken together, these biological variables represent the major biological diversity present within the breast cancer population. A series of retrospective analyses demonstrated that different single module and combinations of modules were capable of predicting a variety of clinical endpoints, including 5-year survival, neoadjuvant chemotherapy response in ER- patients and targeted therapy response in model systems.The molecular heterogeneity of breast cancer can be summarized by discrete gene expression modules that individually represent distinct biological pathways, and that collectively can be represented by as few as 96 genes. These breast cancer modules, together with outlier genes, allow for summation of the entire transcriptional program and provide a universal assay with broad application to companion diagnostics development.
Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P1-07-04.
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Affiliation(s)
- D Rhodes
- 1University of Michigan, Ann Arbor, MI; Compendia Bioscience, Inc., Ann Arbor, MI; AltheaDx, San Diego, CA
| | - S Tomlins
- 1University of Michigan, Ann Arbor, MI; Compendia Bioscience, Inc., Ann Arbor, MI; AltheaDx, San Diego, CA
| | - P Williams
- 1University of Michigan, Ann Arbor, MI; Compendia Bioscience, Inc., Ann Arbor, MI; AltheaDx, San Diego, CA
| | - S Sadis
- 1University of Michigan, Ann Arbor, MI; Compendia Bioscience, Inc., Ann Arbor, MI; AltheaDx, San Diego, CA
| | - P Wyngaard
- 1University of Michigan, Ann Arbor, MI; Compendia Bioscience, Inc., Ann Arbor, MI; AltheaDx, San Diego, CA
| | - K Oades
- 1University of Michigan, Ann Arbor, MI; Compendia Bioscience, Inc., Ann Arbor, MI; AltheaDx, San Diego, CA
| | - S Chattopadhyay
- 1University of Michigan, Ann Arbor, MI; Compendia Bioscience, Inc., Ann Arbor, MI; AltheaDx, San Diego, CA
| | - Y Wang
- 1University of Michigan, Ann Arbor, MI; Compendia Bioscience, Inc., Ann Arbor, MI; AltheaDx, San Diego, CA
| | - J Monforte
- 1University of Michigan, Ann Arbor, MI; Compendia Bioscience, Inc., Ann Arbor, MI; AltheaDx, San Diego, CA
| | - B-I Lee
- 1University of Michigan, Ann Arbor, MI; Compendia Bioscience, Inc., Ann Arbor, MI; AltheaDx, San Diego, CA
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Lee B, Tomlins S, Williams P, Sadis S, Wyngaard P, Oades K, Chattopadhyay S, Wang Y, Monforte J, Rhodes D. PP 21 Gene expression module biomarkers to stratify multiple clinical and therapeutic endpoints for universal breast cancer companion diagnostic. Eur J Cancer 2011. [DOI: 10.1016/s0959-8049(11)72667-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
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Tomlins SA, Williams P, Sadis S, Wyngaard P, Oades K, Lee B, Chattopadhyay S, Wang Y, Monforte J, Rhodes D. Association of gene expression module biomarkers with clinical and therapeutic endpoints and their use with a universal companion diagnostic assay. J Clin Oncol 2011. [DOI: 10.1200/jco.2011.29.27_suppl.228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
228 Background: Gene expression patterns are increasingly capable of stratifying patients based on prognosis and response to therapy. Given the limited availability of sample tissue, however, it is not feasible to utilize every test for every patient, suggesting the need for a universal companion diagnostic assay that is informative with respect to multiple clinical and therapeutic endpoints. Key challenges are identification of appropriate gene expression biomarkers, translation of biomarkers to clinical assays, and development of reliable gene expression profiling of formalin-fixed clinical specimens. Here we describe a novel RT-PCR biomarker assay optimized for FFPE clinical samples that has broad prognostic and predictive potential. Methods: A co-expression meta-analysis of 5,339 breast tumors from 56 microarray datasets identified highly co-expressed sets of genes (modules) across multiple datasets. Module biomarkers were tested for their ability to associate with prognostic and predictive targets in published datasets. In addition, each module was reduced from 10–1000 genes to 2-3 genes for use in companion diagnostic assays based on degree of co-expression across the meta-analysis, and validated against an independent panel of tumor samples. Results: This study demonstrates that a single test utilizing multiple module biomarkers is informative with respect to standard parameters such as ER, PR and Her2, and in addition reproduces existing prognostic and predictive genomic signatures. Furthermore, we show that modules of 10-1000 genes can be represented by 2-3 genes for direct use in companion diagnostics development. Conclusions: The molecular heterogeneity of breast cancer can be summarized by discrete gene expression modules that individually represent distinct biological programs, and that collectively can be represented by as few as 96 genes. Modules, together with outlier genes, allow for summation of the entire transcriptional program and provide a universal assay with broad application to companion diagnostics development.
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Affiliation(s)
- S. A. Tomlins
- University of Michigan Medical School, Ann Arbor, MI; Compendia Bioscience, Ann Arbor, MI; AltheaDx, San Diego, CA; University of Michigan, Ann Arbor, MI
| | - P. Williams
- University of Michigan Medical School, Ann Arbor, MI; Compendia Bioscience, Ann Arbor, MI; AltheaDx, San Diego, CA; University of Michigan, Ann Arbor, MI
| | - S. Sadis
- University of Michigan Medical School, Ann Arbor, MI; Compendia Bioscience, Ann Arbor, MI; AltheaDx, San Diego, CA; University of Michigan, Ann Arbor, MI
| | - P. Wyngaard
- University of Michigan Medical School, Ann Arbor, MI; Compendia Bioscience, Ann Arbor, MI; AltheaDx, San Diego, CA; University of Michigan, Ann Arbor, MI
| | - K. Oades
- University of Michigan Medical School, Ann Arbor, MI; Compendia Bioscience, Ann Arbor, MI; AltheaDx, San Diego, CA; University of Michigan, Ann Arbor, MI
| | - B. Lee
- University of Michigan Medical School, Ann Arbor, MI; Compendia Bioscience, Ann Arbor, MI; AltheaDx, San Diego, CA; University of Michigan, Ann Arbor, MI
| | - S. Chattopadhyay
- University of Michigan Medical School, Ann Arbor, MI; Compendia Bioscience, Ann Arbor, MI; AltheaDx, San Diego, CA; University of Michigan, Ann Arbor, MI
| | - Y. Wang
- University of Michigan Medical School, Ann Arbor, MI; Compendia Bioscience, Ann Arbor, MI; AltheaDx, San Diego, CA; University of Michigan, Ann Arbor, MI
| | - J. Monforte
- University of Michigan Medical School, Ann Arbor, MI; Compendia Bioscience, Ann Arbor, MI; AltheaDx, San Diego, CA; University of Michigan, Ann Arbor, MI
| | - D. Rhodes
- University of Michigan Medical School, Ann Arbor, MI; Compendia Bioscience, Ann Arbor, MI; AltheaDx, San Diego, CA; University of Michigan, Ann Arbor, MI
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Rhodes D, Tomlins SA, Freshley JK, Wyngaard P, Sadis S, Oades K, Chattopadhyay S, Kim H, Vo L, Telford D, Wang Y, Lee B, Monforte J. Identification of breast cancer genomic subtypes that associate with prognosis and response to therapy in retrospective analyses. J Clin Oncol 2011. [DOI: 10.1200/jco.2011.29.15_suppl.e21151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Vansant G, Oades K, Pickering M, Monforte J. Identification of potential cancer targets from diagnostic and prognostic gene signatures. J Clin Oncol 2006. [DOI: 10.1200/jco.2006.24.18_suppl.20096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
20096 Background: The purpose of this study was to determine the potential of gene signature development to also identify leads among different tumor types compared to normal cells. The theory is that cancer cells will express unique markers that are related to their growth and metastatic potential and therefore be potential targets for therapeutics. Methods: Multiplex PCR Approximately 100 genes were chosen to produce 3 multiplexes for RT-PCR analysis. These genes were identified from gene signatures found in peer reviewed manuscripts. RT and PCR primer pairs designed for each gene to be monitored are chimeric, with a gene specific sequence and a universal sequence common to all forward and reverse primers, respectively. A pair of universal primers that recognize the universal sequences in the chimeric primers are included in the reaction in great excess, with one fluorescently labeled. After reverse transcription and a few rounds of PCR, these universal primers drive the reactions, so all the PCR products are essentially amplified by the universal primer set. The chimeric primers are designed to produce PCR products that all have a difference in length of approximately 5 base pairs, resulting in a stratified set of labeled PCR products. 25ng of total RNA from each tumor derived cell line was used as template for the reverse transcription reactions. Half of these reactions were carried over as templates for the PCR reactions. The PCR products were fluorescently labeled during the PCR reaction and analyzed on a capillary electrophoresis system. Results: Many genes were expressed at high levels across all cancer cell types compared to control cells including an A kinase anchoring protein, cyclin-E2, JPO1, mucin 1, and the transferrin receptor CD 71. Conclusions: Analysis of the expression of genes that are part of diagnostic and prognostic gene signatures in tumor related cell lines revealed many genes whose expression were altered in tumor derived cells that are potentially related to the ability of the carcinogenic cells to proliferate and metastasize. Subsequently, a secondary benefit of the development of prognostic or diagnostic gene signatures with statistical analysis, may be the elucidation of potential therapeutic targets for the treatment of cancer. No significant financial relationships to disclose.
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Affiliation(s)
| | - K. Oades
- Althea Technologies, San Diego, CA
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Vansant G, Oades K, Fogel G, Khan J, Monforte J. Application of multiplexed RT-PCR to cancer diagnosis. J Clin Oncol 2005. [DOI: 10.1200/jco.2005.23.16_suppl.8546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- G. Vansant
- Althea Technologies, San Diego, CA; Natural Selection Inc., San Diego, CA; NCI, NIH, Bethesda, MD; Althea Technologies, San Diego, CA
| | - K. Oades
- Althea Technologies, San Diego, CA; Natural Selection Inc., San Diego, CA; NCI, NIH, Bethesda, MD; Althea Technologies, San Diego, CA
| | - G. Fogel
- Althea Technologies, San Diego, CA; Natural Selection Inc., San Diego, CA; NCI, NIH, Bethesda, MD; Althea Technologies, San Diego, CA
| | - J. Khan
- Althea Technologies, San Diego, CA; Natural Selection Inc., San Diego, CA; NCI, NIH, Bethesda, MD; Althea Technologies, San Diego, CA
| | - J. Monforte
- Althea Technologies, San Diego, CA; Natural Selection Inc., San Diego, CA; NCI, NIH, Bethesda, MD; Althea Technologies, San Diego, CA
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Stevenson RM, Oades K, Thomas BR, Schneider M, Slark GE, Suter LJ, Kauffman R, Hinkel D, Miller MC. Evidence for high-efficiency laser-heated hohlraum performance at 527 nm. Phys Rev Lett 2005; 94:055006. [PMID: 15783658 DOI: 10.1103/physrevlett.94.055006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2004] [Indexed: 05/24/2023]
Abstract
A series of experiments conducted on the HELEN laser system [M. J. Norman, Appl. Opt.4120023497], into thermal x-ray generation from hohlraum targets using 527 nm (2omega) wavelength laser light, has shown that it is possible to exceed radiation temperatures previously thought limited by high levels of superthermal or hot electron production or stimulated backscatter. This Letter questions whether the assumptions traditionally applied to hohlraum design with respect to hot plasma filling and the use of 2omega light are too conservative.
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Affiliation(s)
- R M Stevenson
- Atomic Weapons Establishment, Aldermaston, Reading, Berkshire RG7 4PR, United Kingdom
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Adkins CE, Pillai GV, Kerby J, Bonnert TP, Haldon C, McKernan RM, Gonzalez JE, Oades K, Whiting PJ, Simpson PB. alpha4beta3delta GABA(A) receptors characterized by fluorescence resonance energy transfer-derived measurements of membrane potential. J Biol Chem 2001; 276:38934-9. [PMID: 11495904 DOI: 10.1074/jbc.m104318200] [Citation(s) in RCA: 150] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Selective modulators of gamma-aminobutyric acid, type A (GABA(A)) receptors containing alpha(4) subunits may provide new treatments for epilepsy and premenstrual syndrome. Using mouse L(-tk) cells, we stably expressed the native GABA(A) receptor subunit combinations alpha(3)beta(3)gamma(2,) alpha(4)beta(3)gamma(2), and, for the first time, alpha(4)beta(3)delta and characterized their properties using a novel fluorescence resonance energy transfer assay of GABA-evoked depolarizations. GABA evoked concentration-dependent decreases in fluorescence resonance energy transfer that were blocked by GABA(A) receptor antagonists and, for alpha(3)beta(3)gamma(2) and alpha(4)beta(3)gamma(2) receptors, modulated by benzodiazepines with the expected subtype specificity. When combined with alpha(4) and beta(3), delta subunits, compared with gamma(2), conferred greater sensitivity to the agonists GABA, 4,5,6,7-tetrahydroisoxazolo-[5,4-c]pyridin-3-ol (THIP), and muscimol and greater maximal efficacy to THIP. alpha(4)beta(3)delta responses were markedly modulated by steroids and anesthetics. Alphaxalone, pentobarbital, and pregnanolone were all 3-7-fold more efficacious at alpha(4)beta(3)delta compared with alpha(4)beta(3)gamma(2.) The fluorescence technique used in this study has proven valuable for extensive characterization of a novel GABA(A) receptor. For GABA(A) receptors containing alpha(4) subunits, our experiments reveal that inclusion of delta instead of gamma(2) subunits can increase the affinity and in some cases the efficacy of agonists and can increase the efficacy of allosteric modulators. Pregnanolone was a particularly efficacious modulator of alpha(4)beta(3)delta receptors, consistent with a central role for this subunit combination in premenstrual syndrome.
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Affiliation(s)
- C E Adkins
- Neuroscience Research Centre, Terlings Park, Merck Sharp & Dohme, Eastwick Road, Harlow, Essex, United Kingdom.
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Abstract
Ion channels are an important class of drug targets. They comprise the molecular basis for essential physiological functions including fluid secretion, electrolyte balance, bioenergetics and membrane excitability. High-throughput screening for ion-channel function requires sensitive, simple assays and instrumentation that will report ion channel activity in living cells. This article will review relevant assay technologies for ion channels and describe voltage-sensitive probes and instruments based on fluorescence resonance energy transfer (FRET) that enable ion-channel drug discovery.
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Affiliation(s)
- JE González
- Aurora Biosciences Corp, 11010 Torreyana Road, San Diego, CA 92121, USA
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