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Phenotype microarray

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171:. Comparable to bacterial growth curves, the respiration kinetic curves may provide valuable information coded in the length of the lag phase λ, the respiration rate μ (corresponding to the steepness of the slope), the maximum cell respiration A (corresponding to the maximum value recorded), and the area under the curve (AUC). In contrast to 68:
improving genome annotation. In contrast to many of the hitherto available molecular high-throughput technologies, phenotypic testing is processed with living cells, thus providing comprehensive information about the performance of entire cells. The major applications of the PM technology are in the fields of
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violet, which produces a purple color. The more rapid this metabolic flow, the more quickly purple color forms. The formation of purple color is a positive reaction. interpreted such that the sole carbon source is used as an energy source. A microplate reader and incubation facility are needed to
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technologies have made it possible to assay the expression level of thousands of genes or proteins all a once, phenotype microarrays (PMs) make it possible to quantitatively measure thousands of cellular phenotypes simultaneously. The approach also offers potential for testing gene function and
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data. Other software tools are PheMaDB, which provides a solution for storage, retrieval, and analysis of high throughput phenotype data, and the PMViewer software which focuses on graphical display but does not enable further statistical analysis. The latter is not publicly available.
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Galardini, M.; Mengoni, A.; Biondi, E.G.; Semeraro, R.; Florio, A.; Bazzicalupo, M.; Benedetti, A.; Mocali, S. (2013), "DuctApe: A suite for the analysis and correlation of genomic and OmniLog™ Phenotype Microarray data",
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Boccuto, L.; Chen, C.-F.; Pittman, A.R.; Skinner, C.D.; McCartney, H.J.; Jones, K.; Bochner, B.R.; Stevenson, R.E.; Schwartz, C.E. (2013), "Decreased tryptophan metabolism in patients with autism spectrum disorders",
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The principal idea of retrieving information about the abilities of an organism and its special modes of action when making use of certain energy sources can be equivalently applied to other macro-nutrients such as
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Chang, W.; Sarver, K.; Higgs, B.; Read, T.; Nolan, N.; Chapman, C.; Bishop-Lilly, K.; Sozhamannan, S. (2011), "PheMaDB: A solution for storage, retrieval, and analysis of high throughput phenotype data",
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of cells to environmental challenges or exogenous compounds in a high-throughput manner. The phenotypic reactions are recorded as either end-point measurements or respiration kinetics similar to
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Vaas, L.A.I.; Sikorski, J.; Michael, V.; Göker, M.; Klenk, H.-P. (2012), "Visualization and curve-parameter estimation strategies for efficient exploration of Phenotype MicroArray kinetics",
191:. "opm" contains tools for analyzing PM data including management, visualization and statistical analysis of PM data, covering curve-parameter estimation, dedicated and customizable plots, 451:
Omsland, A.; Cockrell, D.C.; Howe, D.; Fischer, E.R.; Virtaneva, K.; Sturdevant, D.E.; Porcella, S.F.; Heinzen, R.A. (2009), "Host cell-free growth of the Q fever bacterium
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provide the appropriate incubation conditions, and to automatically read the intensity of colour formation during tetrazolium reduction in intervals of, e.g., 15 minutes.
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Proprietary and commercially available software is available that provides a solution for storage, retrieval, and analysis of high throughput phenotype data. A powerful
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Vaas, L.A.I.; Sikorski, J.; Hofner, B.; Fiebig, A.; Buddruhs, N.; Klenk, H.-P.; Göker, M. (2013), "opm: An R Package for Analysing OmniLog® Phenotype MicroArray Data",
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Vaas, L.A.I.; Marheine, M.; Sikorski, J.; Göker, M.; Schumacher, M. (2013), "Impacts of pr-10a overexpression at the molecular and the phenotypic level",
106:, which can vary between different cellular morphologies. In addition, respiration reactions are usually detected much earlier than cellular growth. 312:
Bochner, B.R.; Gadzinski, P.; Panomitros, E. (2001), "Phenotype MicroArrays for High Throughput Phenotypic Testing and Assay of Gene Function",
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Hofner, B.; Boccuto, L.; Göker, M. (2015), "Controlling false discoveries in high-dimensional situations: Boosting with stability selection",
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Bochner, B.R.; Savageau, M.A. (1977), "Generalized indicator plate for genetic, metabolic, and taxonomic studies with microorganisms",
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can be measured in environmental conditions where cellular replication (growth) may not be possible, and that it is more accurate than
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During a positive reaction, the longitudinal kinetics are expected to appear as sigmoidal curves in analogy to typical bacterial
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to re-analyse autism PM data and detect more determining factors. The "opm" package has been developed and is maintained at the
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Montero-Calasanz, M.C.; Göker, M.; Pötter, G.; Rohde, M.; Spröer, C.; Schumann, P.; Klenk, A.A.; Gorbushina, H.-P. (2013), "
838: 839:"Overcoming the anaerobic hurdle in phenotypic microarrays: Generation and visualization of growth curve data for 228: 184: 220: 188: 156: 168: 32: 899: 616: 564: 464: 159:
or other inhibitory compounds on the respiration behaviour of the cells can be determined.
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High-throughput phenotypic testing is increasingly important for exploring the biology of
8: 904: 175:, there is typically no death phase in PMs, as the reduced tetrazolium dye is insoluble. 620: 568: 468: 909: 815: 753: 721: 639: 533: 487: 429: 290: 204: 84: 585: 334: 865: 820: 773: 726: 680: 644: 590: 538: 492: 434: 387: 339: 295: 281: 200: 675: 114:
A sole carbon source that can be transported into a cell and metabolized to produce
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of cells. A phenotype microarray system enables one to monitor simultaneously the
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Proceedings of the National Academy of Sciences of the United States of America
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Borglin, S.; Joyner, D.; Jacobsen, J.; Mukhopadhyay, A.; Hazen, T.C. (2009),
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sp. nov., a novel actinomycete isolated from Saharan desert sand in Chad",
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markup language. In conjunction with other R packages it was used to apply
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Bochner, B.R. (2009), "Global phenotypic characterization of bacteria",
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and their compounds and derivatives. As an extension, the impact of
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International Journal of Systematic and Evolutionary Microbiology
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developed to analyze Phenotype Microarray data is "DuctApe", a
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Deutsche Sammlung von Mikroorganismen und Zellkulturen
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Another 145:phosphorus 110:Technology 59:. Just as 910:Phenomics 759:1307.4276 205:taxonomic 89:mammalian 74:microbial 65:proteomic 870:18996155 825:21507258 778:24316132 746:Genomics 731:25943565 685:23740744 649:22536335 609:PLOS ONE 543:23880863 497:19246385 439:23731516 392:23159748 344:11435407 300:19054113 244:See also 221:boosting 193:metadata 179:Software 137:nitrogen 85:taxonomy 45:bacteria 816:3097161 799:: 109, 722:4464883 705:: 144, 640:3334903 617:Bibcode 565:Bibcode 534:3742292 488:2657411 465:Bibcode 430:3680090 291:2704929 237:genomic 201:pathway 868:  823:  813:  776:  729:  719:  683:  647:  637:  595:322611 593:  586:170700 583:  541:  531:  495:  485:  437:  427:  390:  342:  335:311101 332:  298:  288:  197:genome 141:sulfur 96:autism 87:, and 83:, and 53:yeasts 39:Usages 846:(PDF) 754:arXiv 143:, or 49:fungi 866:PMID 821:PMID 774:PMID 727:PMID 681:PMID 645:PMID 591:PMID 539:PMID 493:PMID 435:PMID 388:PMID 340:PMID 296:PMID 233:Unix 217:YAML 211:for 199:and 116:NADH 63:and 19:The 858:doi 811:PMC 801:doi 764:doi 750:103 717:PMC 707:doi 671:doi 635:PMC 625:doi 581:PMC 573:doi 529:PMC 519:doi 483:PMC 473:doi 461:106 455:", 425:PMC 415:doi 378:hdl 370:doi 330:PMC 322:doi 286:PMC 278:doi 896:: 864:, 854:76 852:, 848:, 819:, 809:, 797:12 795:, 772:, 762:, 748:, 725:, 715:, 703:16 701:, 679:, 667:29 665:, 643:, 633:, 623:, 611:, 589:, 579:, 571:, 561:33 559:, 537:, 527:, 515:14 513:, 491:, 481:, 471:, 459:, 433:, 423:, 409:, 386:, 376:, 366:13 364:, 338:, 328:, 318:11 316:, 294:, 284:, 274:33 272:, 155:, 139:, 79:, 72:, 51:, 47:, 35:. 860:: 803:: 766:: 756:: 709:: 673:: 627:: 619:: 613:7 575:: 567:: 521:: 475:: 467:: 417:: 411:4 380:: 372:: 324:: 280:: 189:R

Index

high-throughput phenotyping
phenotypic reaction
growth curves
bacteria
fungi
yeasts
cancer cells
DNA microarrays
proteomic
systems biology
microbial
cell physiology
microbiology
taxonomy
mammalian
cell physiology
autism
cellular respiration
optical density
NADH
redox potential
tetrazolium
tetrazolium
nitrogen
sulfur
phosphorus
auxotrophic
antibiotics
heavy metals
growth curves

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