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| 008 | 161111s2017 xxu| o |||| 0|eng d | ||
| 020 | _a9781493965151 | ||
| 024 | 7 |
_a10.1007/978-1-4939-6515-1 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQR248 _b2017 EB |
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| 245 | 0 | 0 |
_aHuman Fungal Pathogen Identification : _bMethods and Protocols _cedited by Thomas Lion |
| 250 | _a1st edition 2017 | ||
| 264 | 1 |
_aNew York, NY _bSpringer International Publishing _c2017 |
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| 300 |
_a1 recurso en línea (XI, 453 páginas) _b66 ilustraciones, 49 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aMethods in Molecular Biology _x1940-6029 _v1508 |
|
| 505 | 0 | _aCurrent Challenges in the Diagnosis of Fungal Infections -- The Changing Epidemiology of Invasive Fungal Infections -- Current Algorithms in Fungal Diagnosis in the Immunocompromised Host -- Commercial Molecular Tests for Fungal Diagnosis from a Practical Point of View -- Systemic Antifungal Agents: Current Status and Projected Future Developments -- Fungal-Grade Reagents and Materials for Molecular Analysis -- Host-Derived Biomarkers for Risk Assessment of Invasive Fungal Diseases -- Assessment of Immune Responses to Fungal Infections: Identification and Characterization of Immune Cells in the Infected Tissue -- Histopathology -- Culture-Based Techniques -- Serological Approaches -- Isolation of Nucleic Acids for Fungal Diagnosis -- Prerequisites for Control of Contamination in Fungal Diagnosis -- Broad-Spectrum Molecular Detection of Fungal Nucleic Acids by PCR-Based Amplification Techniques -- Genus- and Species-Specific PCR Detection Methods -- Identification of Fungal Pathogens in Tissue Samples from Patients with Proven Invasive Infection by Fluorescence In Situ Hybridization -- Nuclear Magnetic Resonance Spectroscopy-Based Identification of Yeast -- T2 Magnetic Resonance for Fungal Diagnosis -- Fungal Species Identification by MALDI-ToF Mass Spectrometry -- Immunological Identification of Fungal Species -- The Molecular Blueprint of a Fungus by Next-Generation Sequencing (NGS) -- Microarray Technologies in Fungal Diagnostics -- Molecular Detection of Resistance to Echinocandins -- Molecular Detection of Resistance to Azole Components -- Immune Cell-Supplemented Human Skin Model for Studying Fungal Infections. | |
| 520 | _aThis detailed volume presents timely and authoritative content offering a comprehensive overview of the current state of the art in fungal diagnostics. Moreover, it addresses on-going developments expected to provide a basis for targeted treatment strategies resulting in improved outcome of invasive mycoses. The knowledge of host-related predisposing factors and stratified treatment options facilitating timely onset of adequate antifungal therapy are critical for successful clinical management and outcome of invasive fungal disease (IFD), requiring not only rapid diagnosis of a fungal infection and identification of the causative species, but also assessment of pathogen/host factors related to pathogenicity, susceptibility, and response to treatment. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Human Fungal Pathogen Identification: Methods and Protocols serves as an ideal reference for researchers investigating the ever-growing worldwide healthcare problems involving fungal infections. | ||
| 988 | _aSpringer_Protocols_2017 | ||
| 650 | 7 |
_2embne _9405095 _aMicología médica _vManuales de laboratorio |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9781493965137 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781493965144 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781493982226 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-6515-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b10/2023 _dz _eu _zSI |
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