Global Age-Specific Patterns of Cyclic Gene Expression Revealed by Tunicate Transcriptome Atlas
Voskoboynik, Y.; Glina, A.; Kowarsky, M.; Anselmi, C.; Neff, N. F.; Ishizuka, K. J.; Palmeri, K. J.; Rosental, B.; Gordon, T.; Quake, S. R.; Weissman, I. L.; Ben-Shlomo, R.; Sahoo, D.; Voskoboynik, A.
Show abstract
Expression levels of circadian clock genes, which regulate 24-hour rhythms of behavior and physiology, have been shown to change with age. However, a study holistically linking aging and circadian gene expression is missing. Using the colonial chordate Botryllus schlosseri, we combined transcriptome sequencing and stem cell-mediated aging phenomena to test how circadian gene expression changes with age. This revealed that B. schlosseri clock and clock-controlled genes oscillate organism-wide, with daily, age-specific amplitudes and frequencies. These age-related, circadian patterns persist at the tissue level, where dramatic variations in cyclic gene expression of tissue profiles link to morphological and cellular aging phenotypes. Similar cyclical expression differences were found in hundreds of pathways associated with known hallmarks of aging, as well as pathways that were not previously linked to aging. The atlas we developed points to alterations in circadian gene expression as a key regulator of aging. One Sentence SummaryThe Ticking Clock: Systemic changes in circadian gene expression correlates with wide-ranging phenotypes of aging
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Age deceleration and reversal gene patterns in dauer diapause 96%
- Transcriptional activation of Jun and Fos members of the AP-1 complex is a conserved signature of immune aging that contributes to inflammaging 96%
- A single short reprogramming early in life improves fitness and increase lifespan in old age 96%
Similar papers in this journal
Similar papers in this journal
- Rat leukocyte population dynamics predicts a window for intervention in aging. 96%
- Epigenetic signature of human immune aging: the GESTALT study. 95%
- A mathematical model that predicts human biological age from physiological traits identifies environmental and genetic factors that influence aging 95%
Similar papers in this journal
- Multi-faceted deregulation of gene expression and protein synthesis with age 96%
- Single-cell transcriptomics reveals expansion of cytotoxic CD4 T-cells in supercentenarians 94%
- Systematic Approach Identifies Multiple Transcription Factor Perturbations That Rejuvenate Replicatively Aged Human Skin Fibroblasts 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.