Please use this identifier to cite or link to this item: doi:10.22028/D291-40806
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Title: Molecular hallmarks of heterochronic parabiosis at single-cell resolution
Author(s): Pálovics, Róbert
Keller, Andreas
Schaum, Nicholas
Tan, Weilun
Fehlmann, Tobias
Borja, Michael
Kern, Fabian
Bonanno, Liana
Calcuttawala, Kruti
Webber, James
McGeever, Aaron
Luo, Jian
Pisco, Angela Oliveira
Karkanias, Jim
Neff, Norma F.
Darmanis, Spyros
Quake, Stephen R.
Wyss-Coray, Tony
Language: English
Title: Nature
Volume: 603
Issue: 7900
Pages: 309-314
Publisher/Platform: Springer Nature
Year of Publication: 2022
Free key words: Ageing
Gene expression
Transcriptomics
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: The ability to slow or reverse biological ageing would have major implications for mitigating disease risk and maintaining vitality1 . Although an increasing number of interventions show promise for rejuvenation2 , their efectiveness on disparate cell types across the body and the molecular pathways susceptible to rejuvenation remain largely unexplored. Here we performed single-cell RNA sequencing on 20 organs to reveal cell-type-specifc responses to young and aged blood in heterochronic parabiosis. Adipose mesenchymal stromal cells, haematopoietic stem cells and hepatocytes are among those cell types that are especially responsive. On the pathway level, young blood invokes new gene sets in addition to reversing established ageing patterns, with the global rescue of genes encoding electron transport chain subunits pinpointing a prominent role of mitochondrial function in parabiosis-mediated rejuvenation. We observed an almost universal loss of gene expression with age that is largely mimicked by parabiosis: aged blood reduces global gene expression, and young blood restores it in select cell types. Together, these data lay the groundwork for a systemic understanding of the interplay between blood-borne factors and cellular integrity.
DOI of the first publication: 10.1038/s41586-022-04461-2
URL of the first publication: https://doi.org/10.1038/s41586-022-04461-2
Link to this record: urn:nbn:de:bsz:291--ds-408063
hdl:20.500.11880/36670
http://dx.doi.org/10.22028/D291-40806
ISSN: 1476-4687
0028-0836
Date of registration: 24-Oct-2023
Description of the related object: Supplementary information
Related object: https://static-content.springer.com/esm/art%3A10.1038%2Fs41586-022-04461-2/MediaObjects/41586_2022_4461_MOESM1_ESM.pdf
https://static-content.springer.com/esm/art%3A10.1038%2Fs41586-022-04461-2/MediaObjects/41586_2022_4461_MOESM2_ESM.pdf
https://static-content.springer.com/esm/art%3A10.1038%2Fs41586-022-04461-2/MediaObjects/41586_2022_4461_MOESM3_ESM.pdf
https://static-content.springer.com/esm/art%3A10.1038%2Fs41586-022-04461-2/MediaObjects/41586_2022_4461_MOESM4_ESM.pdf
https://static-content.springer.com/esm/art%3A10.1038%2Fs41586-022-04461-2/MediaObjects/41586_2022_4461_MOESM5_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1038%2Fs41586-022-04461-2/MediaObjects/41586_2022_4461_MOESM6_ESM.pdf
Faculty: M - Medizinische Fakultät
Department: M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Univ.-Prof. Dr. Andreas Keller
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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