A Single Cell Transcriptomic Atlas Characterizes Aging Tissues in the Mouse
By N. Almanzar, Jane Antony, Ankit S. Baghel, Isaac Bakerman, I. Bansal, B. Barres, P. Beachy, D. Berdnik, Biter Bilen, D. Brownfield and 124 more. Nature, 2020
984 citations recorded by the source corpus.
Ageing is characterized by a progressive loss of physiological integrity, leading to impaired function and increased vulnerability to death1. Despite rapid advances over recent years, many of the molecular and cellular processes that underlie the progressive loss of healthy physiology are poorly understood2. To gain a better insight into these processes, here we generate a single-cell transcriptomic atlas across the lifespan of Mus musculus that includes data from 23 tissues and organs. We found cell-specific changes occurring across multiple cell types and organs, as well as age-related changes in the cellular composition of different organs. Using single-cell transcriptomic data, we assessed cell-type-specific manifestations of different hallmarks of ageing—such as senescence3, genomic instability4 and changes in the immune system2. This transcriptomic atlas—which we denote Tabula Muris Senis, or ‘Mouse Ageing Cell Atlas’—provides molecular information about how the most important hallmarks of ageing are reflected in a broad range of tissues and cell types. A single-cell transcriptomic atlas across the lifespan of the mouse, denoted Tabula Muris Senis, provides molecular information about the hallmarks of ageing in a range of tissues and cell types.
Subfields: Immunology, Molecular Biology, Neurology
View Paper: https://www.semanticscholar.org/paper/98ca12e5ed4a01d4d0f08917b007d13083e3fa7f
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Citations in the corpus
- Adipose tissue plasticity in health and disease (2022, background): “Moreover, the adipose tissue of aged mice and humans accumulate senescent APCs (Baker et al., 2016; Tabula Consortium, 2020).”
- Measuring biological age using omics data (2022, background): “Large mouse studies have observed that the transcriptomes of different organs and cell types have starkly different ageing trajectories 41,42,156 .”
- Mapping Transcriptomic Vector Fields of Single Cells (2022, positive): “…(Sony SH800) at five timepoints , days 0, 1, 2, 3, and 5, during differentiation in the presence of ATRA. cDNA from single cells was prepared in a 96-well format as previously described (Tabula Muris Consortium 2020) following alkylation and RNA cleanup (Erhard et al. 2019; Hendriks et al. 2019).”
- A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues (2021, methodology): “29 and from the tabula muris senis.(35) Sequencing data were aligned to the human reference genome”