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Shimasawa, M.

Publications and source records attributed to Shimasawa, M..

3 recordsLinked to original sources

Bifunctional transcriptional effector domains control gene expression pulses in an occupancy-dependent manner

Dynamic gene expression pulses enable adaptive response to stimuli and can be generated in natural and synthetic systems. Controlling these dynamics typically involves circuits consisting of multiple genes and transcription factors (TFs). Here, we discover a new class of bifunctional transcriptional effector domains that can first activate and subsequently repress the same gene, producing dynamic gene expression pulses from a single input. These pulse dynamics arise from distinct, temporally separated chromatin states defined by active and repressive chromatin modifications. The balance between active and repressed states is determined by the DNA occupancy of the bifunctional TF. Bifunctional domains activate at low occupancy but switch to repression at high occupancy, resulting in a non-monotonic TF input-gene expression output relationship tunable by TF concentration and number of DNA binding sites. We develop a kinetic model that links TF occupancy to gene expression transitions, allowing for the programming of eight distinct cell "states" - combinations of On/Off states of 3 reporter genes - using a single bifunctional effector. This work establishes the theoretical framework and molecular mechanisms of pulse-generating gene regulation by bifunctional domains and creates a foundation for engineering complex multi-gene circuits.

systems biology↗

An automated ATAC-seq method reveals sequence determinants of transcription factor dose response in the open chromatin

Transcription factor (TF) dosage is a critical determinant of cellular identity. However, the quantitative relationship between TF dosage and its regulation of chromatin accessibility and gene expression remains poorly understood. To address this, we developed RoboATAC, a scalable, automated ATAC-seq platform for high-throughput accessibility profiling. We then systematically profiled genome-wide chromatin accessibility and gene expression changes induced by graded overexpression of 22 TFs in HEK293T cells (246 total samples), observing dose-dependent changes in accessibility and aggregate TF footprints. Modeling accessibility as a function of sequence and chromatin states revealed that DNA sequence alone accurately predicts dosage sensitivity at elements that become accessible, with low-affinity motifs requiring higher TF levels to induce accessibility. Interpretable deep learning models revealed contributions of motif orientation, spacing, and flanking bases to accessibility, both recapitulating known motifs and nominating novel dosage-sensitive motif arrangements. Nucleosome positioning analysis uncovered two distinct, TF identity dependent patterns by which accessibility is established by changing nucleosome position and occupancy.

genomics↗

The pH-sensing Rim101 pathway regulates cell size in budding yeast

Although cell size regulation is crucial for cellular functions in a variety of organisms, from bacteria to humans, the underlying mechanisms remain elusive. Here, we identify Rim21, a component of the pH-sensing Rim101 pathway, as a positive regulator of cell size through a genome-wide screen of Saccharomyces cerevisiae deletion mutants. We found that mutants defective in the Rim101 pathway were consistently smaller than wild-type cells in the log and stationary phases. The expression of the active form of Rim101 increased the size of wild-type cells. Furthermore, the size of wild-type cells increased in response to external alkalization, which was associated with changes in both vacuolar and cytoplasmic volume. These volume changes were dependent on Rim21 and Rim101. A mutant lacking Vph1, a component of V-ATPase that is transcriptionally regulated by Rim101, was also smaller than wild-type cells, with no increase in size in response to alkalization. The loss of Vph1 suppressed the Rim101-induced increase in cell size under physiological pH conditions. Our results suggest that the cell size of budding yeast is regulated by the Rim101 and V-ATPase axis under physiological conditions as well as in response to alkaline stresses.

cell biology↗