Thomas Rando, Postdoctoral Faculty Sponsor
The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans.
Science (New York, N.Y.)
2022; 376 (6594): eabl4896
Molecular characterization of cell types using single-cell transcriptome sequencing is revolutionizing cell biology and enabling new insights into the physiology of human organs. We created a human reference atlas comprising nearly 500,000 cells from 24 different tissues and organs, many from the same donor. This atlas enabled molecular characterization of more than 400 cell types, their distribution across tissues, and tissue-specific variation in gene expression. Using multiple tissues from a single donor enabled identification of the clonal distribution of T cells between tissues, identification of the tissue-specific mutation rate in B cells, and analysis of the cell cycle state and proliferative potential of shared cell types across tissues. Cell type-specific RNA splicing was discovered and analyzed across tissues within an individual.
View details for DOI 10.1126/science.abl4896
View details for PubMedID 35549404
ATR activity controls stem cell quiescence via the cyclin F-SCF complex.
Proceedings of the National Academy of Sciences of the United States of America
2022; 119 (18): e2115638119
SignificanceThe replication stress response protein, ATR, is active in quiescent muscle stem cells in response to DNA:RNA hybrids, and this activity maintains quiescence by ensuring degradation of key cell-cycle transition factors by the E3 ubiquitin ligase cyclin F-SCF complex. This is critical for understanding how stem cells regulate a state of prolonged and reversible cell-cycle arrest and how genome integrity is maintained over time. Together, these studies offer a unique picture of a molecular mechanism controlling stem cell quiescence.
View details for DOI 10.1073/pnas.2115638119
View details for PubMedID 35476521
- Publisher Correction: Cell types of origin of the cell-free transcriptome. Nature biotechnology 2022
Cell types of origin of the cell-free transcriptome.
Cell-free RNA from liquid biopsies can be analyzed to determine disease tissue of origin. We extend this concept to identify cell types of origin using the Tabula Sapiens transcriptomic cell atlas as well as individual tissue transcriptomic cell atlases in combination with the Human Protein Atlas RNA consensus dataset. We define cell type signature scores, which allow the inference of cell types that contribute to cell-free RNA for a variety of diseases.
View details for DOI 10.1038/s41587-021-01188-9
View details for PubMedID 35132263
- RNA splicing programs define tissue compartments and cell types at single-cell resolution ELIFE 2021; 10
Influence of Lymph Node Microenvironment on Naive T cell Aging
AMER ASSOC IMMUNOLOGISTS. 2021
View details for Web of Science ID 000713665801268
Transient non-integrative expression of nuclear reprogramming factors promotes multifaceted amelioration of aging in human cells.
2020; 11 (1): 1545
Aging is characterized by a gradual loss of function occurring at the molecular, cellular, tissue and organismal levels. At the chromatin level, aging associates with progressive accumulation of epigenetic errors that eventually lead to aberrant gene regulation, stem cell exhaustion, senescence, and deregulated cell/tissue homeostasis. Nuclear reprogramming to pluripotency can revert both the age and the identity of any cell to that of an embryonic cell. Recent evidence shows that transient reprogramming can ameliorate age-associated hallmarks and extend lifespan in progeroid mice. However, it is unknown how this form of rejuvenation would apply to naturally aged human cells. Here we show that transient expression of nuclear reprogramming factors, mediated by expression of mRNAs, promotes a rapid and broad amelioration of cellular aging, including resetting of epigenetic clock, reduction of the inflammatory profile in chondrocytes, and restoration of youthful regenerative response to aged, human muscle stem cells, in each case without abolishing cellular identity.
View details for DOI 10.1038/s41467-020-15174-3
View details for PubMedID 32210226