top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Applying Next Generation Sequencing and Transgenic Models to Rare Disease Research
Applying Next Generation Sequencing and Transgenic Models to Rare Disease Research
Autore Gouw Arvin M
Pubbl/distr/stampa Frontiers Media SA, 2020
Descrizione fisica 1 electronic resource (119 p.)
Soggetto topico Science: general issues
Medical genetics
Soggetto non controllato Rare disease
Genomics
Next generation sequencing
transgenic
genetic analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557223103321
Gouw Arvin M  
Frontiers Media SA, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Genetics and Genomics of Pulmonary Arterial Hypertension
Genetics and Genomics of Pulmonary Arterial Hypertension
Autore Southgate Laura
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (188 p.)
Soggetto topico Research & information: general
Biology, life sciences
Genetics (non-medical)
Soggetto non controllato pulmonary arterial hypertension
massive parallel sequencing
NGS
digenic inheritance
and genetics
BMPR2 promoter
pathogenic variant
heritable pulmonary arterial hypertension
genetic analysis
NGS gene panel
BMPR2
TBX4
GDF2
EIF2AK4
genomics
pediatrics
lung disease
endothelial cells
smooth muscle cells
DNA damage
DNA repair
expression quantitative trait locus
eQTL
blood
genetics
exome sequencing
molecular genetics
paediatrics
bone morphogenetic protein receptor type 2
heritable
familial
estrogen
estradiol
penetrance
gender
PAH
forward phenotyping
forward genetics
reverse genetics
reverse phenotyping
intermediate phenotypes
whole-genome sequencing
epigenetic inheritance
genetic heterogeneity
phenotypic heterogeneity
pulmonary hypertension
bone morphogenetic protein receptor 2
signaling
repurposed drugs
pharmaceuticals
miRNA
clinical trials
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595078603321
Southgate Laura  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
New Insights in the Genetics and Genomics of Adrenocortical Tumors and Pheochromocytomas
New Insights in the Genetics and Genomics of Adrenocortical Tumors and Pheochromocytomas
Autore Igaz Peter
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (272 p.)
Soggetto topico Medicine
Soggetto non controllato pheochromocytoma
paraganglioma
genetics
non-coding RNA
malignancy
biomarker
treatment
adaptive metabolism
adrenal gland
conn adenoma
fatty acid metabolism
ferroptosis
hyperaldosteronism
metabolic reprogramming
β-oxidation
PPARα
tumor microenvironment
Next Generation Sequencing
hereditary cancer
endocrine tumor syndrome
KCNJ5 somatic mutation
pulse wave velocity
aldosterone-producing adenoma
adrenalectomy
propensity score matching
arterial stiffness
pheochromocytomas
paragangliomas
mutations
susceptibility genes
driver mutations
hereditary
germline
somatic
environment
variants
tumor suppressor genes
metastatic
RNAseq
next generation sequencing
adrenocortical carcinoma
in silico analysis
machine learning
bioinformatic clustering
biomarker prediction
aldosterone producing adenoma
ATP2B3
K416-F418delinsN mutation
primary aldosteronism
PPGL
telomeres
TERT
ATRX
NOP10
prognostic biomarker
ALT
phaeochromocytoma
cancer
mitochondrial complex II
zebrafish
therapy
drug discovery
redox balance pathway
Vitamin C
mitotane
H295 strains
microRNA
aldosterone
circulating
adrenocortical
transcriptomics
epigenetics
metabolomics
epidemiology
genetic analysis
mortality
surveillance
TP53 R337H
genetic testing
adrenocortical tumor
neonatal screening
screening
adenoma
adrenal
tissue
artificial intelligence
neural network
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557609003321
Igaz Peter  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui