Supplementary data for the biological age linked to oxidative stress modifies breast cancer aggressiveness

Sáez-Freire, María del Mar; Blanco-Gómez, Adrián; Castillo-Lluva, Sonia; Gómez-Vecino, Aurora; Galvis-Jiménez, Julie Milena; Martı́n-Seisdedos, Carmen; Isidoro‐García, María; Hontecillas-Prieto, Lourdes; Cenador, María Begoña García; García-Criado, Francisco Javier; Patino-Alonso, María C.; Galindo-Villardón, Purificación; Mao, Jian‐Hua; Prieto, Carlos; Castellanos, Andrés; Kaderali, Lars; Pérez-Losada, Jesús

doi:10.1016/j.dib.2018.03.132

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…F1B6CBA female mice with CBA/2J males. Parental strains were purchased from Charles River Laboratories (Lyon, France) [34]. The animals’ procedures complied with the regulations on animal experimentation (L 32/2007, L 6/2013 RD 53/2013 and 2010/63/CE).…”

Section: Methodsmentioning

confidence: 99%

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Identification of genomic regions implicated in susceptibility toSchistosoma mansoniinfection in a murine genetic model (backcross)

Hernández-Goenaga

López‐Abán

Blanco-Gómez

et al. 2022

Preprint

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High levels of infection and severe liver fibrosis in schistosomiasis appear only in a few cases of infected people with high susceptibility. Tissue damage is caused by the inflammatory response to eggs trapped in the liver. The genetic background influences susceptibility to schistosome infection. To assess the genetic basis of susceptibility to schistosomiasis and identify the chromosomic regions involved, we used a backcross strategy to generate a mouse cohort with high variation in schistosomiasis susceptibility. Thus, we crossed the resistant C57BL/6 mouse strain with the susceptible CBA one; and later; the F1 females (C57 x CBA) were backcrossed with CBA males generating the F1BX cohort. The spectrum of phenotypes in the F1BX mice showed gradation from mild to severe disease, lacking a fully resistant group. We differentiated four levels of infection intensity using cluster and principal component analyses and K-means based on parasitological, pathological and immunological trait measurements. Mice were massively genotyped with 961 informative SNPs. We identify 19 new quantitative trait loci (QTL) associated with phenotype indicators of parasite burden, liver lesion, white blood cell populations, and antibody responses evaluated in the backcross cohort. Two QTLs on chromosomes 15 and 18 were simultaneously linked to the number of granulomas, grade of liver lesion and IgM levels. The human syntenic regions are located in chromosomes 8 and 18. None of the significant QTL identified coincided with previously reported mice association or were syntenic with human chromosomes.Author summaryHigh number of cases of infection and high levels of infection and liver fibrosis in schistosomiasis appear only in a few cases of people with high susceptibility, because the genetic background influences this susceptibility. To assess this, we used a backcross strategy crossing a resistant strain of mouse C57BL/6 with another susceptible CBA, and later F1 females were backcrossed with males susceptible, generating the F1BX cohort, which showed gradation from mild to severe disease. We differentiated four levels of infection according to cluster, principal component analysis and K-means, and based on parasitological, pathological and immunological measurements. Mice were massively genotyped and 19 quantitative trait loci (QTL) were identified, associated with phenotype indicators evaluated in backcross cohort. Two QTLs on chromosomes 15 and 18 were simultaneously linked to the number of granulomas, grade of liver lesion and IgM levels. None of the significant QTL identified coincided with previously reported mice association or were syntenic with human chromosomes.

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Section: Methodsmentioning

confidence: 99%

“…F1B6CBA female mice with CBA/2J males. Parental strains were purchased from Charles River Laboratories (Lyon, France) [34]. and passages in CD1 mice every 2-3 months.…”

Section: Animals and Parasitesmentioning

confidence: 99%

Identification of genomic regions implicated in susceptibility toSchistosoma mansoniinfection in a murine genetic model (backcross)

Hernández-Goenaga

López‐Abán

Blanco-Gómez

et al. 2022

Preprint

Self Cite

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Identification of Genomic Regions Implicated in Susceptibility to Schistosoma mansoni Infection in a Murine Backcross Genetic Model

Hernández-Goenaga,

López-Abán,

Blanco-Gómez

et al. 2023

IJMS

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Only a small number of infected people are highly susceptible to schistosomiasis, showing high levels of infection or severe liver fibrosis. The susceptibility to schistosome infection is influenced by genetic background. To assess the genetic basis of susceptibility and identify the chromosomal regions involved, a backcross strategy was employed to generate high variation in schistosomiasis susceptibility. This strategy involved crossing the resistant C57BL/6J mouse strain with the susceptible CBA/2J strain. The resulting F1 females (C57BL/6J × CBA/2J) were then backcrossed with CBA/2J males to generate the backcross (BX) cohort. The BX mice exhibited a range of phenotypes, with disease severity varying from mild to severe disease, lacking a fully resistant group. We observed four levels of infection intensity using cluster and principal component analyses and K-means based on parasitological, pathological, and immunological trait measurements. The mice were genotyped with 961 informative SNPs, leading to the identification of 19 new quantitative trait loci (QTL) associated with parasite burden, liver lesions, white blood cell populations, and antibody responses. Two QTLs located on chromosomes 15 and 18 were linked to the number of granulomas, liver lesions, and IgM levels. The corresponding syntenic human regions are located in chromosomes 8 and 18. None of the significant QTLs had been reported previously.

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Supplementary data for the biological age linked to oxidative stress modifies breast cancer aggressiveness

Cited by 2 publications

References 16 publications

Identification of genomic regions implicated in susceptibility toSchistosoma mansoniinfection in a murine genetic model (backcross)

Identification of genomic regions implicated in susceptibility toSchistosoma mansoniinfection in a murine genetic model (backcross)

Identification of Genomic Regions Implicated in Susceptibility to Schistosoma mansoni Infection in a Murine Backcross Genetic Model

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