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Tachibana, R.

Publications and source records attributed to Tachibana, R..

7 recordsLinked to original sources

Persistent Malignant Stem Cells Drive Relapse After Transplantation in the Myelodysplastic Neoplasms

The myelodysplastic neoplasms (MDS) are initiated in hematopoietic stem cells (HSCs). Allogeneic transplantation is the only curative treatment, but relapse remains common. To detect rare MDS HSCs, we developed an ultra-low-input DNA sequencing assay and applied it to a multicenter post-transplant cohort. HSC mutation detection preceded relapse by a mean of 98 days and strongly predicted relapse (95.7% vs. 30.3%; hazard ratio, 8.8; P=1.5e-7). Mutations detected only in unfractionated marrow did not predict relapse. We developed methods to measure donor-host HSC chimerism, improving relapse prediction sensitivity. Single-cell protein, DNA, and RNA analyses with mitochondrial lineage tracing confirmed MDS cell enrichment within immunophenotypically- and transcriptionally-defined HSCs, identifying shared ribosomal gene downregulation and candidate mechanisms of venetoclax sensitivity. Venetoclax/azacytidine depleted detectable MDS HSCs in longitudinally evaluated patients. These findings establish that HSC mutation detection predicts post-transplant relapse, provide a rationale for preemptive intervention, and define shared biological features of transplant-resistant MDS HSCs.

cancer biology↗

Enzyme activity as an actionable axis for small-molecule precision oncology

Current precision oncology--molecular targeted therapies and immunotherapies--relies on genomic or expressed biomarkers, yet most cancer patients remain ineligible for these treatments. Here, we establish enzyme activity as an actionable and orthogonal axis for precision cancer medicine. Strategic activity-based screening of mouse organs and human clinical specimens with a panel of enzyme-reactive fluorescence probes identified {beta}-galactosidase 1 (GLB1) and {beta}-hexosaminidases (HEX) as broadly elevated tumor-selective biomarkers. Leveraging these activities, we developed 7-ethyl-10-hydroxycamptothecin (SN38)-based GLB1-and HEX-reactive prodrugs. These prodrugs exhibited dramatically reduced systemic toxicities and improved therapeutic windows, compared to a clinically used SN38-based prodrug, irinotecan (CPT-11). Both prodrugs demonstrated activity-dependent therapeutic efficacy, affording a dramatic reduction of tumor volumes across multiple in vivo models, including a subcutaneous patient-derived xenograft (PDX) of lung squamous cell carcinoma that lacked genetic alterations targeted by current precision medicine. Furthermore, this strategy is broadly applicable across various cytotoxic payloads, establishing a generalizable platform for small-molecule precision medicines. Our results define an enzyme-targeting paradigm for precision oncology, in which fluorescence probes serve as companion diagnostic tools to guide development and selection of appropriately targeted prodrugs, which are expected to provide safer and more efficacious treatment options for cancer patients with elevated enzyme activities.

cancer biology↗

Cycloheximide resistant ribosomes reveal adaptive translation dynamics in C. elegans

Protein translation regulation is critical for cellular responses and development, yet how disruptions during the elongation stage shape these processes remains incompletely understood. Here, we identify and validate a single amino acid substitution (P55Q) in the ribosomal protein RPL-36A of Caenorhabditis elegans that confers complete resistance to high concentrations of the elongation inhibitor cycloheximide (CHX). Heterozygous animals carrying both wild-type RPL-36A and RPL-36A(P55Q) exhibit normal development but intermediate CHX resistance, indicating a partial dominant effect. Leveraging RPL-36A(P55Q) as a single-copy positive selection marker for CRISPR-based genome editing, we introduced targeted modifications into multiple ribosomal protein genes, confirming its broad utility for altering essential loci. In L4-stage heterozygotes, where CHX-sensitive and CHX-resistant ribosomes coexist, ribosome profiling revealed increased start-codon occupancy, suggesting early stalling of CHX sensitive ribosomes. Chronic CHX reduced ribosome collisions, evidenced by fewer disomes and unchanged codon distributions in monosomes. Surprisingly, prolonged elongation inhibition did not activate well characterized stress pathways-including ribosome quality control (RQC), the ribotoxic stress response (RSR), or the integrated stress response (ISR)-as indicated by absence of changes in RPS-10 ubiquitination, eIF2 phosphorylation, PMK-1 phosphorylation, or the transcriptional upregulation of ATF-4 target genes. Instead, RNA-normalized ribosome footprints revealed gene-specific changes in translation efficiency, with nucleolar and P granule components significantly decreased while oocyte development genes were increased. Consistent with these observations, we detected premature oogenesis in L4 animals, suggesting that partial translation elongation inhibition reshapes translation efficiency, to fine-tune developmental timing.

genetics↗

Low-Background Cancer Imaging With a Bioorthogonal Fluorescence Probe and Engineered Reporter Enzyme Bearing a Targeting Moiety

Combinatorial use of an antibody-reporter enzyme conjugate and a fluorescence probe activated by the enzyme is a powerful strategy for fluorescence-guided cancer surgery. However, conventional probes for typical reporter enzymes are insufficiently bioorthogonal, resulting in high background signals in non-target tissues. We screened a library of HMRef (rhodol derivative)-based fluorescence probes bearing various sugar moieties, and discovered that HMRef-{beta}-D-fucose is bioorthogonal in mammalian systems, but is activated by a metagenomic glycosidase, Td2F2. Directed evolution generated a mutant with a kcat/Km value for HMRef-{beta}-D-fucose of 3.3 x 105/M/sec, 7.3 times higher than that of wild-type Td2F2 and comparable to that of {beta}-galactosidase (LacZ) with a corresponding probe. Theoretical calculation suggested that E296G mutation in Td2F2 causes structural changes that facilitate the probes access to the enzymes active site. In a proof-of-concept study, cancer cells were visualized with a minimal background in the mesentery of a mouse model of peritoneally disseminated human-ovarian-cancer-derived SKOV-3 cells, which endogenously express HER2, by using HMRef-{beta}-D-fucose together with engineered Td2F2 conjugated/fused to a HER2-binding antibody/nanobody.

bioengineering↗

Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning

Tailored enzymes hold great potential to accelerate the transition to a sustainable bioeconomy. Yet, enzyme engineering remains challenging as it relies largely on serendipity and is, therefore, highly laborious and prone to failure. The efficiency and success rates of engineering campaigns may be improved substantially by applying machine learning to construct a comprehensive representation of the sequence-activity landscape from small sets of experimental data. However, it often proves challenging to reliably model a large protein sequence space while keeping the experimental effort tractable. To address this challenge, we present an integrated pipeline combining large-scale screening with active machine learning and model-guided library design. We applied this strategy to efficiently engineer an artificial metalloenzyme (ArM) catalysing a new-to-nature hydroamination reaction. By combining lab automation and next-generation sequencing, we acquired sequence-activity data for several thousand ArM variants. We then used Gaussian process regression to model the activity landscape and guide further screening rounds according to user-defined objectives. Crucial characteristics of our enhanced enzyme engineering pipeline include i) the cost-effective generation of information-rich experimental data sets, ii) the integration of an explorative round to improve the performance of the model, as well as iii) the consideration of experimental noise during modelling. Our approach led to an order-of-magnitude boost in the hit rate of screening while making efficient use of experimental resources. Smart search strategies like this should find broad utility in enzyme engineering and accelerate the development of novel biocatalysts.

synthetic biology↗

Super-resolution vibrational imaging based on photoswitchable Raman probe

Super-resolution vibrational microscopy is a promising tool to increase the degree of multiplexing of nanometer-scale biological imaging, because the spectral linewidth of molecular vibration is about 50 times narrower than that of fluorescence. However, current techniques of super-resolution vibrational microscopy still suffer from various limitations including the need for cell fixation, high power loading or complicated frequency-modulated detection schemes. Herein we utilize photoswitchable stimulated Raman scattering (SRS) to develop a method that we call reversible saturable optical Raman transitions (RESORT) microscopy, which overcomes these limitations. We first describe a new kind of photoswitchable Raman probe designated DAE620 and then we employ a standard SRS detection scheme to validate its signal activation and depletion characteristics when exposed to low-power (microwatt level) continuous-wave laser light. By harnessing the SRS signal depletion of DAE620 through a donut-shaped beam, we demonstrate super-resolution vibrational imaging of mammalian cells with excellent chemical specificity and spatial resolution beyond the optical diffraction limit. Our results indicate RESORT microscopy to be an effective tool with high potential for multiplexed super-resolution imaging of live cells.

bioengineering↗

Fast retrograde access to projection neuron circuits underlying vocal learning in songbirds

Understanding the structure and function of neural circuits underlying speech and language is a vital step towards better treatments for diseases of these systems. Songbirds, among the few animal orders that share with humans the ability to learn vocalizations from a conspecific, have provided many insights into the neural mechanisms of vocal development. However, research into vocal learning circuits has been hindered by a lack of tools for rapid genetic targeting of specific neuron populations to meet the quick pace of developmental learning. Here, we present a new viral tool that enables fast and efficient retrograde access to projection neuron populations. In zebra finches, Bengalese finches, canaries, and mice, we demonstrate fast retrograde labeling of cortical or dopaminergic neurons. We further demonstrate the suitability of our construct for detailed morphological analysis, for in vivo imaging of calcium activity, and for multicolor brainbow labeling.

neuroscience↗