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Umetani, M.

Publications and source records attributed to Umetani, M..

5 recordsLinked to original sources

Rapid enhancement of antibiotic resistance and divergent remodeling of gene expression in single cells of bacteria

Exposing bacterial cell populations to antibiotics often results in the emergence of descendants with enhanced resistance. Phenotypic heterogeneity and global physiological responses are thought to contribute to resistance evolution. However, identifying the specific stages of drug exposure where phenotypic heterogeneity and physiological responses play critical roles remains elusive. Using long-term single-cell lineage tracking of an Escherichia coli resistance model, here we reveal that resistance-enhanced cells emerge rapidly within a few generations in a clonal bacterial cell population under chloramphenicol (Cp) exposure and stably transmit the enhanced resistance for hundreds of generations in the presence of Cp. High expression of a resistance protein was advantageous during the initial period of drug exposure, but conferred only a marginal fitness advantage during the period of resistance enhancement. Transcriptomic profiles of resistance-enhanced cell populations were lineage-specific, suggesting that multiple gene expression states can support enhanced resistance. Altogether, these results suggest that an interplay between initial phenotypic heterogeneity and divergent remodeling of gene expression drives the rapid acquisition of enhanced antibiotic resistance.

microbiology↗

Raman spectra and gene expression correspondences reveal global stoichiometry conservation architecture in cells

Cells can adapt to various environments by changing their biomolecular profiles while maintaining physiological homeostasis. What organizational principles in cells enable the simultaneous realization of adaptability and homeostasis? To address this question, we measure Raman scattering light from Escherichia coli cells under diverse conditions, whose spectral patterns convey their comprehensive molecular composition. We reveal that dimension-reduced Raman spectra can predict condition-dependent proteome profiles. Quantitative analysis of the Raman-proteome correspondence characterizes a low-dimensional hierarchical stoichiometry-conserving proteome structure. The network centrality of each gene in the stoichiometry conservation relations correlates with its essentiality and evolutionary conservation, and these correlations are preserved from bacteria to human cells. Furthermore, stoichiometry-conserving core components obey growth law and ensure homeostasis across conditions, whereas peripheral stoichiometry-conserving components enable adaptation to specific conditions. Mathematical analysis reveals that the stoichiometrically constrained architecture is reflected in major changes in Raman spectral patterns. These results uncover coordination of global stoichiometric balance in cells and demonstrate that vibrational spectroscopy can decipher such biological constraints beyond statistical or machine-learning inference of cellular states.

genomics↗

Actively growing cells are the predominant persisters in exponential phase of Escherichia coli

Bacterial persistence is a phenomenon in which a small fraction of isogenic bacterial cells survives a lethal dose of antibiotics. Although the refractoriness of persistent cell populations has classically been attributed to growth-inactive cells generated before drug exposure, evidence is accumulating that actively growing cell fractions can also generate persister cells. However, single-cell characterization of persister cell history remains limited due to the extremely low frequencies of persisters. Here, we visualize the responses of over one million individual cells of wildtype Escherichia coli to lethal doses of antibiotics, sampling cells from different growth phases and culture media into a microfluidic device. We show that when cells sampled from exponentially growing populations were treated with ampicillin or ciprofloxacin, most persisters were growing before antibiotic treatment. Growing persisters exhibited heterogeneous survival dynamics, including continuous growth and fission with L-form-like morphologies, responsive growth arrest, or post-exposure filamentation. Incubating cells under stationary phase conditions increased both the frequency and the probability of survival of non-growing cells to ampicillin. Under ciprofloxacin, however, all persisters identified were growing before the antibiotic treatment, including samples from post-stationary phase culture. These results reveal diverse persister cell dynamics that depend on antibiotic types and pre-exposure history.

microbiology↗

History-Dependent Physiological Adaptation to Lethal Genetic Modification under Antibiotic Exposure

Genetic modifications, such as gene deletion and mutations, could lead to significant changes in physiological states or even cell death. Bacterial cells can adapt to diverse external stresses, such as antibiotic exposure, but can they also adapt to detrimental genetic modification? To address this issue, we visualized the response of individual Escherichia coli cells to deletion of the antibiotic resistance gene under chloramphenicol (Cp) exposure, combining the light-inducible genetic recombination and microfluidic long-term single-cell tracking. We found that a significant fraction ([~] 40%) of resistance-gene-deleted cells demonstrated a gradual restoration of growth and stably proliferated under continuous Cp exposure without additional mutations. Such physiological adaptation to genetic modification was not observed when the deletion was introduced in 10 h or more advance before Cp exposure. Resistance gene deletion under Cp exposure disrupted the stoichiometric balance of ribosomal large and small subunit proteins (RplS and RpsB). However, the balance was gradually recovered in the cell lineages with restored growth. These results demonstrate that bacterial cells can adapt even to lethal genetic modifications by plastically gaining physiological resistance. However, the access to the resistance states is limited by the environmental histories and the timings of genetic modification.

genetics↗

Human URAT1/SLC22A12 gene promoter is regulated by 27-hydroxycholesterol through estrogen response elements

Elevated levels of uric acid, a metabolite of purine in humans, is related to various diseases, such as gout, atherosclerosis and renal dysfunction. The excretion and reabsorption of uric acid to/from urine is tightly regulated by uric acid transporters. The amino acid sequences of uric acid reabsorption transporters, URAT1/SLC22A12, OAT4/SLC22A11, and OAT10/SLC22A13, share closer phylogenic relationship, whereas the gene promoter sequences are distant phylogenic relationship. Through the single-cell RNA-sequencing analysis of an adult human kidney, we found that only a small number of cells express these transporters, despite their role in the regulation of serum uric acid levels. Transcriptional motif analysis on these transporter genes, revealed that the URAT1/SLC22A12 gene promoter displayed the most conserved estrogen response elements (EREs) among the three transporters. The endogenous selective estrogen receptor modulator (SERM) 27-hydroxycholesterol (27HC) had positive effects on the transcriptional activity of URAT1/SLC22A12. We also found that 27HC increased the protein and gene expression of URAT1/SLC22A12 in mouse kidneys and human kidney organoids, respectively. These results strongly suggest the role of 27HC for URAT1/SLC22A12 expression in renal proximal tubules and upregulation of serum uric acid levels and also show the relationship between cholesterol metabolism and serum uric acid regulation. Significance StatementThe elevated levels of serum uric acid cause various diseases, and the excretion/reabsorption of uric acid to/from urine is tightly regulated by the uric acid transporters. We found that despite the role in serum uric acid regulation, only a small number of cells express URAT1/SLC22A12. We also found that URAT1/SLC22A12 gene promoter region has effective estrogen response elements, and endogenous selective estrogen receptor (ER) modulator 27-hydroxycholesterol (27HC) increased URAT1/SLC22A12 expression in the mice kidneys and human kidney organoids. These suggest that 27HC increases URAT1/SLC22A12 expression and upregulate serum uric acid levels. Since 27HC connects cholesterol metabolism, our study indicates the important link between cholesterol metabolism and serum uric acid regulation, and also provides a novel therapeutic approach to hyperuricemia.

biochemistry↗