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Zi, Y.

Publications and source records attributed to Zi, Y..

4 recordsLinked to original sources

Sirtuin 2 controls global protein synthesis by regulating Rheb-GTPase

Upregulated global protein synthesis is associated with the development and progression of several diseases and disorders. Strategies like calorie restriction and pharmacological inhibition of protein synthesis, have exhibited health-promoting effects. However, the complex molecular events that regulate global protein synthesis are not completely understood. Here, we report that SIRT2, a histone deacylase, negatively regulates global protein synthesis by inhibiting the mTORC1 pathway via deacetylating Rheb and promoting Rheb degradation. Our in vitro results suggest that SIRT2 deficiency increases protein synthesis, whereas SIRT2 overexpression suppresses protein synthesis. SIRT2-deficient mice exhibit age-associated and neurohormone-induced cardiac hypertrophy. Here, we report increased global protein synthesis in the hearts of young SIRT2-deficient mice, which may contribute to the development of cardiac hypertrophy. Conversely, cardiac-specific overexpression of SIRT2 reduces global protein synthesis in mice hearts. Mechanistically, SIRT2 binds to and deacetylates Rheb at K151 residue to enhance ubiquitin-proteosome-mediated degradation of Rheb. Depletion of Rheb rescues the increased protein synthesis in SIRT2-inhibited conditions. Our findings suggest that SIRT2 activation can be a potential therapeutic for treating diseases associated with increased protein synthesis.

cell biology↗

SIRT2 Mediates Integrated Stress Response by Deacetylating and Stabilizing 4EBP1 to Suppress Translation

The ability to alleviate nutrient stress, such as amino acid limitation, is crucial for cell survival. The mTORC1 complex and integrated stress response (ISR) are mechanisms that sense the availability of amino acids and regulate ribosomal protein synthesis. Here we have discovered a new SIRT2-mediated pathway, downstream of ISR, that senses the limitation of amino acids to regulate translation. Under amino acid deprivation, SIRT2 protein level is upregulated translationally by its upstream open reading frame (uORF). SIRT2 in turn suppresses global protein translation, which helps cells to survive amino acid limitation. Mechanistically, we identified eukaryotic translation initiation factor 4E (eIF4E) binding protein 1 (4EBP1), which negatively regulates translation, as a substrate of SIRT2. SIRT2 deacetylates 4EBP1 at Lys69 and stabilizes 4EBP1 by protecting it from proteasomal degradation. Our study reveals a novel role for SIRT2 in regulating protein translation and a new regulatory mechanism of 4EBP1 in cells. Our study provides a better understanding of the intricate regulation of translation and may explain the known non-oncogene addiction role of SIRT2 in cancer cells.

cell biology↗

Spatially organized striatal neuromodulator release encodes trajectory errors

Goal-directed navigation requires animals to continuously evaluate their current direction and speed of travel relative to landmarks to discern whether they are approaching or deviating from their goal. Striatal dopamine and acetylcholine are powerful modulators of goal-directed behavior, but it is unclear whether and how neuromodulator dynamics at landmarks incorporate relative motion for effective behavioral guidance. Using optical measurements in mice, we demonstrate that cue-evoked striatal dopamine release encodes bi-directional trajectory errors reflecting relationships between ongoing speed and direction of locomotion and visual flow relative to optimal goal trajectories. Striatum-wide micro-fiber array recordings resolved an anatomical gradient of trajectory error signaling across the anterior-posterior axis, distinct from trajectory error independent cue signals. Dynamic regression modeling revealed that positive and negative trajectory error encoding emerges early and late respectively during learning and over different time courses in the medial and lateral striatum, enabling region specific contributions to learning. Striatal acetylcholine release also encodes trajectory errors, but encoding is more spatially restricted, opposite polarity, and delayed relative to dopamine, supporting distinct roles in modulating striatal output and behavior. Dopamine trajectory error signaling and task performance were reproduced in a reinforcement learning model incorporating a conjunctive state space representation, suggesting a potential neural substrate for trajectory error generation. Our results establish region specific neuromodulator signals positioned to guide the speed and direction of locomotion to reach goals based on environmental landmarks during navigation.

neuroscience↗

Quartet RNA reference materials and ratio-based reference datasets for reliable transcriptomic profiling

As an indispensable tool for transcriptome-wide analysis of differential gene expression, RNA sequencing (RNAseq) has demonstrated great potential in clinical applications. However, the lack of multi-group RNA reference materials of biological relevance and the corresponding reference datasets for assessing the reliability of RNAseq hampers its wide clinical applications wherein the underlying biological differences among study groups are often small. As part of the Quartet Project for quality control and data integration of multiomic profiling, we established four RNA reference materials derived from immortalized B-lymphoblastoid cell lines from four members of a monozygotic twin family. Additionally, we constructed ratio-based transcriptome-wide reference datasets using multi-batch RNAseq datasets, providing "ground truth" for benchmarking. Moreover, Quartet-sample-based quality metrics were developed for assessing reliability of RNAseq technology in terms of intra-batch proficiency and cross-batch reproducibility. The small intrinsic biological differences among the Quartet samples enable sensitive assessment of performance of transcriptomic measurements. The Quartet RNA reference materials combined with the reference datasets can be served as unique resources for assessing data quality and improving reliability of transcriptomic profiling.

genetics↗