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TL;DR: In this article, large scale quantities of phosphodiester and phosphorothioate oligonucleotides are synthesized on an aminopolyethyleneglycol derivatized polystyrene (TentaGel) support.
130 citations
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Tokai University1, National Institute of Advanced Industrial Science and Technology2, Chugai Pharmaceutical Co.3, Hitachi4, Applied Biosystems5, Nippon Telegraph and Telephone6, Leiden University7, Murdoch University8, Juntendo University9, Kobe University10, French Institute of Health and Medical Research11
TL;DR: Microsatellite-based genome-wide association analysis complemented by end stage SNP typing provides a new tool for genetic dissection of multifactorial pathologies including common diseases.
Abstract: A major goal of current human genome-wide studies is to identify the genetic basis of complex disorders. However, the availability of an unbiased, reliable, cost efficient and comprehensive methodology to analyze the entire genome for complex disease association is still largely lacking or problematic. Therefore, we have developed a practical and efficient strategy for whole genome association studies of complex diseases by charting the human genome at 100 kb intervals using a collection of 27 039 microsatellites and the DNA pooling method in three successive genomic screens of independent case-control populations. The final step in our methodology consists of fine mapping of the candidate susceptible DNA regions by single nucleotide polymorphisms (SNPs) analysis. This approach was validated upon application to rheumatoid arthritis, a destructive joint disease affecting up to 1% of the population. A total of 47 candidate regions were identified. The top seven loci, withstanding the most stringent statistical tests, were dissected down to individual genes and/or SNPs on four chromosomes, including the previously known 6p21.3-encoded Major Histocompatibility Complex gene, HLA-DRB1. Hence, microsatellite-based genome-wide association analysis complemented by end stage SNP typing provides a new tool for genetic dissection of multifactorial pathologies including common diseases.
130 citations
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TL;DR: A unique combination of new operating modes provided by hybrid triple-quadrupole linear ion trap mass spectrometers and new software features allowed development of a comprehensive and efficient method for the general unknown screening of drugs and toxic compounds in blood or urine.
Abstract: Background: In clinical and forensic toxicology, general unknown screening is used to detect and identify exogenous compounds. In this study, we aimed to develop a comprehensive general unknown screening method based on liquid chromatography coupled with a hybrid triple-quadrupole linear ion trap mass spectrometer.
Methods: After solid-phase extraction, separation was performed using gradient reversed-phase chromatography. The mass spectrometer was operated in the information-dependent acquisition mode, switching between a survey scan acquired in the Enhanced Mass Spectrometry mode with dynamic subtraction of background noise and a dependent scan obtained in the enhanced product ion scan mode. The complete cycle time was 1.36 s. A library of 1000 enhanced product ion–tandem mass spectrometry spectra in positive mode and 250 in negative mode, generated using 3 alternated collision tensions during each scan, was created by injecting pure solutions of drugs and toxic compounds.
Results: Comparison with HPLC-diode array detection and gas chromatography-mass spectrometry for the analysis of 36 clinical samples showed that linear ion trap tandem mass spectrometry could identify most of the compounds (94% of the total). Some compounds were detected only by 1 of the other 2 techniques. Specific clinical cases highlighted the advantages and limitations of the method.
Conclusion: A unique combination of new operating modes provided by hybrid triple-quadrupole linear ion trap mass spectrometers and new software features allowed development of a comprehensive and efficient method for the general unknown screening of drugs and toxic compounds in blood or urine.
129 citations
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TL;DR: This study provides not only a global picture of transcription and expression adaptations during a complex antibiotic resistance mechanism but also unravels potential drug targets or markers that are constitutively expressed by resistant strains regardless of their genetic background, amenable to be used as diagnostic targets.
Abstract: To unravel molecular targets involved in glycopeptide resistance, three isogenic strains of Staphylococcus aureus with different susceptibility levels to vancomycin or teicoplanin were subjected to whole-genome microarray-based transcription and quantitative proteomic profiling Quantitative proteomics performed on membrane extracts showed exquisite inter-experimental reproducibility permitting the identification and relative quantification of >30% of the predicted S aureus proteome In the absence of antibiotic selection pressure, comparison of stable resistant and susceptible strains revealed 94 differentially expressed genes and 178 proteins As expected, only partial correlation was obtained between transcriptomic and proteomic results during stationary-phase Application of massively parallel methods identified one third of the complete proteome, a majority of which was only predicted based on genome sequencing, but never identified to date Several over-expressed genes represent previously reported targets, while series of genes and proteins possibly involved in the glycopeptide resistance mechanism were discovered here, including regulators, global regulator attenuator, hyper-mutability factor or hypothetical proteins Gene expression of these markers was confirmed in a collection of genetically unrelated strains showing altered susceptibility to glycopeptides Our proteome and transcriptome analyses have been performed during stationary-phase of growth on isogenic strains showing susceptibility or intermediate level of resistance against glycopeptides Altered susceptibility had emerged spontaneously after infection with a sensitive parental strain, thus not selected in vitro This combined analysis allows the identification of hundreds of proteins considered, so far as hypothetical protein In addition, this study provides not only a global picture of transcription and expression adaptations during a complex antibiotic resistance mechanism but also unravels potential drug targets or markers that are constitutively expressed by resistant strains regardless of their genetic background, amenable to be used as diagnostic targets
128 citations
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TL;DR: The separation of live and dead human B cells, and the separation of HeLa and Jurkat cells are demonstrated, and a modified single-sided OET device is presented that promises to facilitate the integration of OET and microfluidics.
Abstract: Optoelectronic tweezers (OET) provide a powerful tool for the manipulation of micro- and nanoparticles The OET device produces an optically controlled dielectrophoretic force, allowing complex dynamic manipulation patterns using light intensities up to 100 000 times lower than that of optical tweezers Using OET, we demonstrate the separation of live and dead human B cells, and the separation of HeLa and Jurkat cells We also present, for the first time, a modified single-sided OET device that promises to facilitate the integration of OET and microfluidics Unlike standard OET, this single-sided OET device produces electric fields that are oriented parallel to the plane of the device We demonstrate the manipulation of polystyrene beads using this new single-sided OET device, and discuss its capabilities
128 citations
Authors
Showing all 1521 results
Name | H-index | Papers | Citations |
---|---|---|---|
Richard A. Gibbs | 172 | 889 | 249708 |
Friedrich C. Luft | 113 | 1095 | 47619 |
Alexander N. Glazer | 71 | 208 | 21068 |
Vineet Bafna | 68 | 236 | 42574 |
Kevin R. Coombes | 63 | 308 | 23592 |
Darryl J. Pappin | 61 | 170 | 29409 |
Mark D. Johnson | 60 | 289 | 16103 |
György Marko-Varga | 56 | 409 | 12600 |
Paul Thomas | 56 | 128 | 44810 |
Gerald Zon | 55 | 256 | 11126 |
Michael W. Hunkapiller | 51 | 130 | 29756 |
Bjarni V. Halldorsson | 51 | 145 | 13180 |
David H. Hawke | 50 | 157 | 9824 |
Ellson Y. Chen | 50 | 71 | 28836 |
Sridhar Hannenhalli | 49 | 162 | 21959 |