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Advanced Electrochemical and Opto-Electrochemical Biosensors for Quantitative Analysis of Disease Markers and Viruses
| Advanced Electrochemical and Opto-Electrochemical Biosensors for Quantitative Analysis of Disease Markers and Viruses |
| Autore | Karimian Najmeh |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (166 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Biochemistry |
| Soggetto non controllato |
gold nanoparticles
doxycycline tetracycline SPR biosensor signal amplification clinical diagnosis microRNA electrochemical biosensor catalysts RedOx indicator cancer biomarker electrochemical immune platform human ST2 plasma pancreatic cancer collagen type I 4,4'-thiobisbenzenethiol nanogold electrochemical impedance spectroscopy surface plasmon resonance half antibody medical diagnostic devices peptide antifouling protease biomarker bioreceptor SARS-CoV-2 detection nasopharyngeal swab saliva serum droplets amperometric biosensor neural esterase acetylcholinesterase inhibition organophosphate design optimization mathematical model flux control dimensionless |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580216603321 |
Karimian Najmeh
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Application of Bioinformatics in Cancers
| Application of Bioinformatics in Cancers |
| Autore | Brenner J. Chad |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (418 p.) |
| Soggetto non controllato |
cancer treatment
extreme learning independent prognostic power AID/APOBEC HP gene inactivation biomarkers biomarker discovery chemotherapy artificial intelligence epigenetics comorbidity score denoising autoencoders protein single-biomarkers gene signature extraction high-throughput analysis concatenated deep feature feature selection differential gene expression analysis colorectal cancer ovarian cancer multiple-biomarkers gefitinib cancer biomarkers classification cancer biomarker mutation hierarchical clustering analysis HNSCC cell-free DNA network analysis drug resistance hTERT variable selection KRAS mutation single-cell sequencing network target skin cutaneous melanoma telomeres Neoantigen Prediction datasets clinical/environmental factors StAR PD-L1 miRNA circulating tumor DNA (ctDNA) false discovery rate predictive model Computational Immunology brain metastases observed survival interval next generation sequencing brain machine learning cancer prognosis copy number aberration mutable motif steroidogenic enzymes tumor mortality tumor microenvironment somatic mutation transcriptional signatures omics profiles mitochondrial metabolism Bufadienolide-like chemicals cancer-related pathways intratumor heterogeneity estrogen locoregionally advanced RNA feature extraction and interpretation treatment de-escalation activation induced deaminase knockoffs R package copy number variation gene loss biomarkers cancer CRISPR overall survival histopathological imaging self-organizing map Network Analysis oral cancer biostatistics firehose Bioinformatics tool alternative splicing biomarkers diseases genes histopathological imaging features imaging TCGA decision support systems The Cancer Genome Atlas molecular subtypes molecular mechanism omics curative surgery network pharmacology methylation bioinformatics neurological disorders precision medicine cancer modeling miRNAs breast cancer detection functional analysis biomarker signature anti-cancer hormone sensitive cancers deep learning DNA sequence profile pancreatic cancer telomerase Monte Carlo mixture of normal distributions survival analysis tumor infiltrating lymphocytes curation pathophysiology GEO DataSets head and neck cancer gene expression analysis erlotinib meta-analysis traditional Chinese medicine breast cancer TCGA mining breast cancer prognosis microarray DNA interaction health strengthening herb cancer genomic instability |
| ISBN | 3-03921-789-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367743403321 |
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Brenner J. Chad
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Extracellular Vesicles: Biology and Potentials in Cancer Therapeutics
| Extracellular Vesicles: Biology and Potentials in Cancer Therapeutics |
| Autore | Cho William |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (394 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
extracellular vesicle
precision oncology cancer biomarker prostate cancer drug delivery extracellular vesicles lysosome nanocarriers ultrasound size exclusion chromatography differential ultracentrifugation head and neck squamous cell carcinoma (HNSCC) exosomes cancer biomarker diagnostic therapy liquid biopsy small extracellular vesicles (sEV) tumor-derived exosomes (TEX) melanoma cell-derived exosomes (MTEX) proteomics tumor microenvironment biomarkers ectosomes neoplasia microvesicles small extracellular vesicles isolation purification size-exclusion chromatography ultracentrifugation sucrose density cushion lymph node spleen solid tissue microvesicle exosome cancer therapeutic drug carrier flow cytometry immunophenotyping swarm detection tumor-associated macrophages macrophage polarization mannose receptor HIV-1 Nef glioblastoma microRNA immunoprecipitation CD44 human milk nutrient microbiota microRNAs nanocommunicator diagnostic biomarker drug delivery vehicle personalized cancer immunotherapy therapeutic agents cell-to-cell communication ionising radiation non-targeted effects signalling imaging flow cytometry biomarker reservoirs cancer diagnostics disease monitoring large EVs ovarian cancer cells ES-2 OAW-42 adipose tissue origin mesenchymal stem cells |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Extracellular Vesicles |
| Record Nr. | UNINA-9910557555303321 |
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Cho William
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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