The use of gene expression as a disease stratification tool of neonatal encephalopathy.

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Tytuł:: The use of gene expression as a disease stratification tool of neonatal encephalopathy.
Autorzy:: Burgod C; Centre for Perinatal Neuroscience, Imperial College London, London, UK.
Thayyil S; Centre for Perinatal Neuroscience, Imperial College London, London, UK.
Montaldo P; Centre for Perinatal Neuroscience, Imperial College London, London, UK. .; Neonatal Unit, Università degli Studi della Campania 'Luigi Vanvitelli', Naples, Italy. .
Źródło:: Pediatric research [Pediatr Res] 2021 Jan; Vol. 89 (1), pp. 12-13. Date of Electronic Publication: 2020 Aug 03.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't; Comment
Język:: English
Imprint Name(s):: Publication: 2012- : New York : Nature Publishing Group
Original Publication: Basel ; New York : Karger.
MeSH Terms:: Brain Diseases*/genetics
Infant, Newborn, Diseases*/diagnosis
Infant, Newborn, Diseases*/genetics
Gene Expression ; Humans ; Infant, Newborn
References:: Balada, R. et al. Enquiring beneath the surface: can a gene expression assay shed light into the heterogeneity among newborns with neonatal encephalopathy? Pediatr. Res. (2020).
Ioannidis, J. P. et al. Repeatability of published microarray gene expression analyses. Nat. Genet. 41, 149–155 (2009). (PMID: 10.1038/ng.295)
Montaldo, P. et al. Whole blood gene expression reveals specific transcriptome changes in neonatal encephalopathy. Neonatology 115, 68–76 (2019). (PMID: 10.1159/000492420)
Montaldo, P., Lally, P. J., Oliveira, V. & Thayyil, S. Hypothermic neuroprotection for neonatal encephalopathy in low- and middle-income countries: a new approach to an old problem. NeoReviews 19, e735–e741 (2018). (PMID: 10.1542/neo.19-12-e735)
Montaldo, P. et al. Transcriptomic profile of adverse neurodevelopmental outcomes after neonatal encephalopathy. Nat. Scientific Rep. (2020) (in press).
Peng, R. D. Reproducible research in computational science. Science (New York, N.Y.) 334, 1226–1227 (2011). (PMID: 10.1126/science.1213847)
Kok, M. G. M. et al. Small sample sizes in high-throughput miRNA screens: a common pitfall for the identification of miRNA biomarkers. Biomol. Detect. Quantif. 15, 1–5 (2017). (PMID: 10.1016/j.bdq.2017.11.002)
Pritchard, C. C., Cheng, H. H. & Tewari, M. MicroRNA profiling: approaches and considerations. Nat. Rev. Genet. 13, 358–369 (2012). (PMID: 10.1038/nrg3198)
Dypås, L. B., Gützkow, K. B., Olsen, A.-K. & Duale, N. MiRNA profiles in blood plasma from mother–child duos in human biobanks and the implication of sample quality: circulating miRNAs as potential early markers of child health. PLoS ONE 15, e0231040-e (2020). (PMID: 10.1371/journal.pone.0231040)
Grant Information:: MR/R001375/1 United Kingdom MRC_ Medical Research Council
Entry Date(s):: Date Created: 20200804 Date Completed: 20210429 Latest Revision: 20210429
Update Code:: 20240105
DOI:: 10.1038/s41390-020-1104-2
PMID:: 32746447
: Czasopismo naukowe

Comment on: Pediatr Res. 2020 Sep;88(3):451-458. (PMID: 31952072)
Comment in: Pediatr Res. 2021 Jan;89(1):2-3. (PMID: 33075800)

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