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Książki na temat „Genetic methods for resistance detection”

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Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 20 lutego 2023

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Sprawdź 21 najlepszych książek naukowych na temat „Genetic methods for resistance detection”.

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1

RNA detection and visualization: Methods and protocols. New York: Humana, 2011.

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2

Lupi, Claudio. Genetic engineering for plant protection: Methods, state of the art and applications. Basel: BATS, 1995.

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3

1948-, Luciw Paul A., i Steimer Kathelyn Sue 1948-, red. HIV detection by genetic engineering methods. New York: Dekker, 1989.

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4

Gerst, Jeffrey E. RNA Detection and Visualization: Methods and Protocols. Humana Press, 2016.

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5

Ali, Akhtar, Bright Agindotan, Xifeng Wang, Rajarshi Kumar Gaur, Xiaofei Cheng i Kristiina Mäkinen, red. Plant Viruses, Volume I: Detection Methods, Genetic Diversity and Evolution. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88974-129-8.

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Heller, Knut J. Genetically Engineered Food: Methods and Detection. Wiley-VCH, 2003.

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Heller, Knut J. Genetically Engineered Food: Methods and Detection. Wyd. 2. Wiley-VCH, 2007.

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8

Heinz, Hecker Karl, red. Genetic variance detection: Technologies for pharmacogenomics. [Eagleville, Pa.]: DNA Press, 2005.

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9

Genomic tests for ovarian cancer detection and management. Rockville, MD: U.S. Department of Health and Human Services, Public Health Service, Agency for Healthcare Research and Quality, 2006.

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10

Heller, Knut J. Genetically Engineered Food: Methods and Detection. Wiley & Sons, Limited, John, 2006.

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11

Heller, Knut J. Genetically Engineered Food: Methods and Detection. Wiley & Sons, Incorporated, John, 2006.

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12

Heller, Knut J. Genetically Engineered Food: Methods and Detection. Wiley & Sons, Incorporated, John, 2006.

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13

Knut, Heller, red. Genetically engineered food: Methods and detection. Wyd. 2. Weinheim: Wiley-VCH, 2006.

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14

Barnes, Linda P. New Research on Pharmacogenetics. Nova Biomedical Books, 2007.

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15

Kaushik, Sanket, i Nagendra Singh, red. Current Developments in the Detection and Control of Multi Drug Resistance. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150498791220101.

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The rise in the incidence of infections is caused by multi drug resistant (MDR) bacteria, it is essential to elucidate the basic mechanism of antibiotic resistance to discover effective methods for diagnosis and treatment of infections. The use of pathogen-specific probes offers a faster alternative for pathogen detection and could improve the diagnosis of infection. High resolution melting analysis techniques are useful for the detection of multi drug resistant pathogens. Rational Structural Based Drug Design is a common method to identify a lead compound and take it forward for further developments. This book provides information about recent strategies involved in the diagnosis and treatment of infections caused by MDR bacteria. The volume covers the use of molecular probes for the quantification of pathogenic bacteria, along with other techniques mentioned above. Chapters also cover the use of identification of novel drug targets from the Lipid A biosynthesis and also from quorum sensing mediated biofilm formation in MDR bacteria. Chapters also cover herbal alternatives for the treatment of MDR bacteria like the use of Cassia aungustifolia in treatment of various diseases. The reference is suitable for biomedical students, cellular and molecular biologists.

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16

Sun, Wenli. Various Methods and Novel Techniques: Rapid Molecular Detection of Human, Plant, Genetic, and Microbial Infectious Diseases, Pathogenic Bacteria, and Organisms. Nova Science Publishers, Incorporated, 2022.

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17

Protocol for Enhanced Isolate-Level Antimicrobial Resistance Surveillance in the Americas. Primary Phase: Bloodstream Infections. Pan American Health Organization, 2021. http://dx.doi.org/10.37774/9789275122686.

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Antimicrobial resistance (AMR) surveillance plays an important role in the early detection of resistant strains of public health importance and prompt response to outbreaks in hospitals and the community. Surveillance findings are needed to inform medical practice, antibiotic stewardship, and policy and interventions to combat AMR. Appropriate use of antimicrobials, informed by surveillance, improves patients’ treatment outcomes and reduces the emergence and spread of AMR. This protocol describes the steps and procedures to establish/enhance AMR surveillance in Latin America and the Caribbean. It provides technical guidance to integrate patient, laboratory, and epidemiological data to monitor AMR emergence, trends, and effects in the population. It also provides the necessary elements to move from aggregated data to isolate-level data surveillance starting with blood isolates. It facilitates uniform data collection processes, methods, and tools to ensure data comparability within the Region of the Americas. Finally, it builds on over a decade of experience of the regional AMR surveillance network—ReLAVRA by its Spanish acronym—and its procedures are aligned with the Global Antimicrobial Resistance Surveillance System (GLASS) methodology, enabling countries to participate in the global GLASS AMR surveillance.

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18

Dyer, Paul S., Carol A. Munro i Rosie E. Bradshaw. Fungal genetics. Redaktorzy Christopher C. Kibbler, Richard Barton, Neil A. R. Gow, Susan Howell, Donna M. MacCallum i Rohini J. Manuel. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198755388.003.0005.

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Fungi have been long used as model organisms to investigate genetic and cellular processes. An overview is provided of how fungi function at a genetic level, including ploidy, gene structure, and gene flow by sexual and asexual processes. The tools used to study fungal genetics are then described, such techniques having widespread applications in medical mycology research. Classical genetic analysis includes the use of gene mapping by sexual crossing and tetrad analysis, and forward genetic experimentation based on mutagenesis, for which various mutant screening approaches are described. Molecular genetic analysis includes gene manipulation by transformation; different methods for gene knockout and targeting, and their application for forward and reverse genetic approaches, are outlined. Finally, molecular genetic methods used to study gene expression and function are reviewed, including use of inducible or constitutive overexpression, real-time PCR, cellular localization of gene products by fluorescent tagging, and detection of protein–protein interactions.

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19

LaGrave, Danielle, Patricia L. Devers Winters i Geralyn Lambert-Messerlian. Prenatal Screening Technologies and Test Issues. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190604929.003.0007.

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Maternal serum screening began with the measurement of serum alpha fetal protein to detect open neural tube defects, which led to the implementation of routine serum-based prenatal screening in the second trimester for Down syndrome. Advances via combined and integrated screening allowed for the first-trimester detection of both Down syndrome and trisomy 18. Next-generation sequencing has enabled the identification of aneuploidies in circulating cell-free fetal DNA from the plasma fraction of maternal whole blood. This breakthrough in molecular genetic testing, commonly referred to as noninvasive prenatal testing, has revolutionized prenatal screening and testing for genetic disorders without posing additional risk to the pregnancy. This chapter reviews the history of maternal serum screening, the disorders it can detect, the methods of calculating patient-specific risk, and reasons for recalculation or adjustment of risk. This chapter also reviews of cell-free DNA-based testing for fetal aneuploidies, including its limitations and potential.

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20

Fenno, Lief E., i Karl Deisseroth. Optogenetics and Related Technologies for Psychiatric Disease Research. Redaktorzy Dennis S. Charney, Eric J. Nestler, Pamela Sklar i Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0006.

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Studying intact systems with simultaneous local precision and global scope is a fundamental challenge in biology. This familiar trade-off leads to important conceptual and experimental difficulties in psychiatric disease research and throughout the study of complex biological systems. Part of a solution may arise from optogenetics: the combination of genetic and optical methods to achieve gain- or loss-of-function of temporally defined events in specific cells embedded within intact living tissue or organisms. Such precise causal control within the functioning intact system can be achieved via introduction of genes that confer to cells both light-detection capability and specific effector function. A broad array of optogenetic tools and neuroscience applications have driven the wide adoption of optogenetics as a standard approach in neuroscience.

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21

Mody, Rajal K., Angela Ahlquist Cleveland, Shawn R. Lockhart i Mary E. Brandt. Epidemiology of fungal disease. Redaktorzy Christopher C. Kibbler, Richard Barton, Neil A. R. Gow, Susan Howell, Donna M. MacCallum i Rohini J. Manuel. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198755388.003.0007.

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Surveillance and outbreak investigations are important epidemiological tools for assessing the frequency, distribution, and determinants of infections. The primary goal of these activities is to identify measures to reduce the burden of disease. This chapter describes examples of surveillance and approaches to outbreak investigations that have formed the basis of fungal infection control measures. However, considerable knowledge gaps exist, new threats are emerging (including antifungal resistance), and healthcare advances are making more people susceptible to severe fungal infections. Expanded surveillance efforts, timely outbreak detection, and effective outbreak investigations are needed to further reduce the burden of fungal infections. This will require confronting challenges that have held back fungal disease epidemiology, including limited clinical suspicion of fungal infections by clinical providers, difficulties in diagnosing fungal infections due to suboptimal diagnostic methods, limited availability of antifungal susceptibility testing and molecular subtyping, and a lack of mandated fungal disease surveillance in most countries.

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