Přehled o publikaci
2021
Disease network data for the pesticide fipronil in rat dopamine cells
SOUDERS, Christopher L.; Anna RUSHIN; Christina L. SANCHEZ; Darby TOTH; Ondřej ADAMOVSKÝ et al.Základní údaje
Originální název
Disease network data for the pesticide fipronil in rat dopamine cells
Autoři
SOUDERS, Christopher L.; Anna RUSHIN; Christina L. SANCHEZ; Darby TOTH; Ondřej ADAMOVSKÝ a Christopher J. MARTYNIUK
Vydání
Data in Brief, Amsterdam, Elsevier, 2021, 2352-3409
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Stát vydavatele
Nizozemské království
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14310/21:00122905
Organizace
Přírodovědecká fakulta – Masarykova univerzita – Repozitář
UT WoS
EID Scopus
Klíčová slova anglicky
Neurotoxicology; Pesticides; Alzheimer's disease; Gene expression; Interactome; Neurodegeneration
Návaznosti
EF17_043/0009632, projekt VaV. 857560, interní kód Repo. RECETOX RI, velká výzkumná infrastruktura.
Změněno: 9. 6. 2025 00:50, RNDr. Daniel Jakubík
Anotace
V originále
Transcriptome data were collected in rat dopamine cells exposed to fipronil for 24 h using microarray analysis. Fipronil is a phenylpyrazole pesticide that acts to inhibit gamma-aminobutyric acid (GABA), blocking inhibitory synaptic transmission in the central nervous system. Transcriptome data were subjected to pathway analysis and subnetwork enrichment analysis. We report that 25 mu M fipronil altered transcriptional networks in dopamine-synthesizing cells that are associated with Alzheimer's Disease, Huntington Disease, and Schizophrenia. Data analysis revealed that nerve fibre degeneration, nervous system malformations, neurofibrillary tangles, and neuroinflammation were all disease processes related to the transcriptome profile observed in the rat neuronal cells. Other disease networks altered by fipronil exposure at the transcript level were associated with the mitochondria, including mitochondrial DNA depletion syndrome and mitochondrial encephalomyopathies. These data, along with those presented in Souders et al. (2021), are significant because they increase understanding into the molecular mechanisms underlying human disease following exposures to neuroactive pesticides. These data can be reused to inform adverse outcome pathways for neurotoxic pesticides.