LEADER 00937nam0-2200325---450- 001 990009509330403321 005 20120113140033.0 010 $a88-397-0785-9 035 $a000950933 035 $aFED01000950933 035 $a(Aleph)000950933FED01 035 $a000950933 100 $a20120112d1993----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $a--------001cy 200 1 $aInfanzia e pregiudizio$ei bambini come li vediamo$fdi Marina D'Amato 210 $aTorino$cRAI-Nuova ERI$d1993 215 $a216 p.$cfig., tab.$d23 cm 225 1 $aVQPT$v115 610 0 $aBambini$aItalia$aRappresentazione da parte della televisione 676 $a302.2345083$v22$zita 700 1$aD'Amato,$bMarina$0126282 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009509330403321 952 $a302.2345 DAM 2$b5471$fBFS 959 $aBFS 996 $aInfanzia e pregiudizio$9851154 997 $aUNINA LEADER 03447nam 2200421z- 450 001 9910220039603321 005 20210211 035 $a(CKB)3800000000216381 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/41082 035 $a(oapen)doab41082 035 $a(EXLCZ)993800000000216381 100 $a20202102d2017 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aApplications of STEM (Science, Technology, Engineering and Mathematics) Tools in Microbiology of Infectious Diseases 210 $cFrontiers Media SA$d2017 215 $a1 online resource (223 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88945-183-6 330 $aEpidemiology is a discipline intended to systematically investigate, and ideally quantify, disease dynamics in populations (Perez, 2015). Epidemiological assessmentsmay be divided into four large areas, namely, (a) identification and characterization of a pathogen, (b) development of systems for detection of cases, (c) descriptive epidemiology and quantification of disease patterns, and (d) advanced analytical methods to design intervention strategies. Briefly, there is an initial need for understanding the pathogeny of a disease and condition, which may also include experimental studies and development of new models of infection and proliferation under different conditions. Subsequently, such knowledgemay be applied to support the identification of cases, which typically includes the design, evaluation, and validation of diagnostic tests. Diseasemay then be quantified in a population, leading to the identification of patterns and application of molecular characterization techniques to understand disease spread, and ultimately to identify factors preventing or promoting disease. Finally, those factors may be incorporated into advanced quantitative methods and epidemiological models, which are used to design and evaluate strategies aimed at preventing, controlling, or eliminating disease in the population. Recent years have seen a dramatic increase in the application of science, technology, engineering, and mathematical (STEM) tools and approaches intended to enhance such analytical epidemiology process, with the ultimate goal of supporting disease prevention, control, and eradication. This eBook comprises a series of research articles that, through current state-of-the-art scientific knowledge on the application of STEM tools to the microbiology of infectious diseases, demonstrate their usefulness at the various components of an integral epidemiological approach, divided into the four large components of (a) experimental studies, (b) novel diagnostic techniques, (c) epidemiological characterization, and (d) population modeling and intervention. 517 $aApplications of STEM 606 $aMicrobiology (non-medical)$2bicssc 610 $adiagnosis 610 $aEpidemiology 610 $amodeling 610 $aPathogen Detection 610 $aQuantitative Methods 610 $astem 615 7$aMicrobiology (non-medical) 700 $aJulio Alvarez$4auth$01317879 702 $aAndres Perez$4auth 906 $aBOOK 912 $a9910220039603321 996 $aApplications of STEM (Science, Technology, Engineering and Mathematics) Tools in Microbiology of Infectious Diseases$93033045 997 $aUNINA LEADER 04872nam 22006855 450 001 9910437827903321 005 20251117071246.0 010 $a1-4614-8666-1 024 7 $a10.1007/978-1-4614-8666-4 035 $a(CKB)3710000000019061 035 $a(EBL)1466681 035 $a(SSID)ssj0001004885 035 $a(PQKBManifestationID)11650432 035 $a(PQKBTitleCode)TC0001004885 035 $a(PQKBWorkID)11046996 035 $a(PQKB)10423019 035 $a(DE-He213)978-1-4614-8666-4 035 $a(MiAaPQ)EBC1466681 035 $a(PPN)172421284 035 $a(EXLCZ)993710000000019061 100 $a20130917d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aApplication of Selected Reaction Monitoring to Highly Multiplexed Targeted Quantitative Proteomics $eA Replacement for Western Blot Analysis /$fby Michael Kinter, Caroline S. Kinter 205 $a1st ed. 2013. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2013. 215 $a1 online resource (76 p.) 225 1 $aSpringerBriefs in Systems Biology,$x2193-4746 300 $aDescription based upon print version of record. 311 08$a1-4614-8665-3 320 $aIncludes bibliographical references. 327 $aThe use of mass spectrometry for highly selective detection -- overview of how the selected reaction monitoring experiment works -- Designing a selected reaction monitoring method for a protein -- Example analyses include: sample processing, sample analysis, data processing -- Future Directions. 330 $a  A key experiment in biomedical research is monitoring the expression of different proteins in order to detect changes that occur in biological systems under different experimental conditions.  The method that is most widely used is the Western blot analysis.  While Western blot is a workhorse in laboratories studying protein expression and has several advantages, it also has a number of significant limitations.  In particular, the method is semi-quantitative with limited dynamic range.  Western blot focuses on a single protein per sample with only a small number of representative samples analyzed in an experiment.  New quantitative tools have been needed for some time to at least supplement, & possibly replace, the Western blot. Mass spectrometric methods have begun to compete with Western blot for routine quantitative analyses of proteins.  One of these methods is based on the tandem mass spectrometry technique of selected reaction monitoring (SRM), which is also called multiple reaction monitoring (MRM).  Selected reaction monitoring is actually an older tandem mass spectrometry technique, first described in the late 70s, that is widely utilized in the quantitative analysis of small molecules like drugs & metabolites.  The use of selected reaction monitoring for the quantitative analysis of proteins has a number of advantages.  Most importantly, it is fundamentally quantitative with a wide dynamic range.  The output of the analysis is a numerical result that can range over several orders of magnitude.  Other advantages include sufficient specificity & sensitivity to detect low abundance proteins in complex mixtures.  Finally, selected reaction monitoring can be multiplexed to allow the quantitative analysis of relatively large numbers of proteins in a single sample in a single experiment.     This Brief will explain both the theoretical & experimental details of the selected reaction monitoring experiment as it is applied to proteins. 410 0$aSpringerBriefs in Systems Biology,$x2193-4746 606 $aMedicine 606 $aProteomics 606 $aMass spectrometry 606 $aBiochemistry 606 $aBiomedicine, general$3https://scigraph.springernature.com/ontologies/product-market-codes/B0000X 606 $aProteomics$3https://scigraph.springernature.com/ontologies/product-market-codes/L1403X 606 $aMass Spectrometry$3https://scigraph.springernature.com/ontologies/product-market-codes/C11010 606 $aBiochemistry, general$3https://scigraph.springernature.com/ontologies/product-market-codes/L14005 615 0$aMedicine. 615 0$aProteomics. 615 0$aMass spectrometry. 615 0$aBiochemistry. 615 14$aBiomedicine, general. 615 24$aProteomics. 615 24$aMass Spectrometry. 615 24$aBiochemistry, general. 676 $a610 700 $aKinter$b Michael$4aut$4http://id.loc.gov/vocabulary/relators/aut$0971811 702 $aKinter$b Caroline S.$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910437827903321 996 $aApplication of Selected Reaction Monitoring to Highly Multiplexed Targeted Quantitative Proteomics$92531853 997 $aUNINA