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Dumanski JP, Halvardson J, Davies H, Rychlicka-Buniowska E, Mattisson J, Moghadam BT, Nagy N, Węglarczyk K, Bukowska-Strakova K, Danielsson M, Olszewski P, Piotrowski A, Oerton E, Ambicka A, Przewoźnik M, Bełch Ł, Grodzicki T, Chłosta PL, Imreh S, Giedraitis V, Kilander L, Nordlund J, Ameur A, Gyllensten U, Johansson Å, Józkowicz A, Siedlar M, Klich-Rączka A, Jaszczyński J, Enroth S, Baran J, Ingelsson M, Perry JRB, Ryś J, Forsberg LA
Cell. Mol. Life Sci. 78 (8) 4019-4033 [2021-04-00; online 2021-04-10]
Epidemiological investigations show that mosaic loss of chromosome Y (LOY) in leukocytes is associated with earlier mortality and morbidity from many diseases in men. LOY is the most common acquired mutation and is associated with aberrant clonal expansion of cells, yet it remains unclear whether this mosaicism exerts a direct physiological effect. We studied DNA and RNA from leukocytes in sorted- and single-cells in vivo and in vitro. DNA analyses of sorted cells showed that men diagnosed with Alzheimer's disease was primarily affected with LOY in NK cells whereas prostate cancer patients more frequently displayed LOY in CD4 + T cells and granulocytes. Moreover, bulk and single-cell RNA sequencing in leukocytes allowed scoring of LOY from mRNA data and confirmed considerable variation in the rate of LOY across individuals and cell types. LOY-associated transcriptional effect (LATE) was observed in ~ 500 autosomal genes showing dysregulation in leukocytes with LOY. The fraction of LATE genes within specific cell types was substantially larger than the fraction of LATE genes shared between different subsets of leukocytes, suggesting that LOY might have pleiotropic effects. LATE genes are involved in immune functions but also encode proteins with roles in other diverse biological processes. Our findings highlight a surprisingly broad role for chromosome Y, challenging the view of it as a "genetic wasteland", and support the hypothesis that altered immune function in leukocytes could be a mechanism linking LOY to increased risk for disease.
Bioinformatics Support for Computational Resources [Service]
NGI Uppsala (SNP&SEQ Technology Platform) [Collaborative]
NGI Uppsala (Uppsala Genome Center) [Collaborative]
National Genomics Infrastructure [Collaborative]
PubMed 33837451
DOI 10.1007/s00018-021-03822-w
Crossref 10.1007/s00018-021-03822-w
pii: 10.1007/s00018-021-03822-w
pmc: PMC8106578