Biology subjects

Tu, B.

Publications and source records attributed to Tu, B..

8 recordsLinked to original sources

bioRxiv2026

The promoter-poised Rpd3 HDAC complex orchestrates global chromatin reprogramming upon nutrient transition

Adaptive transcriptional rewiring underlies the metabolic flexibility of Saccharomyces cerevisiae. We demonstrate that the histone deacetylase Rpd3 mediates nutrient-dependent chromatin reprogramming that coordinates transcriptional shutdown and global acetylation balance during metabolic transitions. Genome-wide analyses reveal that Rpd3 complexes drive rapid, reversible histone deacetylation across promoters and gene bodies, fine-tuning transcriptional output. Rpd3, primarily through the large complex (Rpd3L), localizes at promoters of active genes enriched in H3K9ac and the acetyltransferase Gcn5. Upon nutrient shift, Gcn5 disengages while Rpd3-mediated H3K9 deacetylation enforces repression. Loss of Rpd3 or its Rpd3L-specific subunit, Pho23, disrupts this balance, resulting in the aberrant persistence of growth programs upon starvation and defective activation of respiratory genes in the presence of glucose. HDACs thus can act as metabolic gatekeepers, coupling nutrient cues to chromatin reprogramming and ensuring transcriptional fidelity during metabolic transitions, thereby resolving the long-standing paradox of HDAC enrichment at active promoters.

biochemistry↗

bioRxiv2024

FLIGHTED: Inferring Fitness Landscapes from Noisy High-Throughput Experimental Data

Machine learning (ML) for protein design requires large protein fitness datasets generated by high-throughput experiments for training, fine-tuning, and benchmarking models. However, most models do not account for experimental noise inherent in these datasets, harming model performance and changing model rankings in benchmarking studies. Here we develop FLIGHTED, a Bayesian method of accounting for uncertainty by generating probabilistic fitness landscapes from noisy high-throughput experiments. We demonstrate how FLIGHTED can improve model performance on two categories of experiments: single-step selection assays, such as phage display and SELEX, and a novel high-throughput assay called DHARMA that ties activity to base editing. We then compare the performance of standard machine-learning models on fitness landscapes generated with and without FLIGHTED. Accounting for noise significantly improves model performance, especially of CNN architectures, and changes relative rankings on numerous common benchmarks. Based on our new benchmarking with FLIGHTED, data size, not model scale, currently appears to be limiting the performance of protein fitness models, and the choice of top model architecture matters more than the protein language model embedding. Collectively, our results indicate that FLIGHTED can be applied to any high-throughput assay and any machine learning model, making it straightforward for protein designers to account for experimental noise when modeling protein fitness.

bioinformatics↗

bioRxiv2023

Low-cost camera-based estrous tracking enables transgenesis in Peromyscus leucopus, the primary reservoir for Lyme disease

CRISPR/Cas9 technology has revolutionized the production of animal models by reducing experimental timelines, slashing costs and streamlining gene editing, leading to a rapid expansion in the number of unique models for the study of human disease and gene function. However, most non-model animals, many of which are important in cancer and aging research, remain recalcitrant to genome engineering due to our limited understanding of their reproductive biology. Many wild rodents that transmit human diseases remain particularly challenging to engineer due to low pregnancy rates, the lack of external copulatory plugs, and susceptibility to premature termination of pregnancy. Here, we present low-cost activity-based estrous tracking for the efficient generation of timed pregnant and pseudopregnant white-footed mice and extend this tracking method to both lab mice and hamsters. Leveraging this technology, we demonstrate the generation of engineered Peromyscus leucopus, the primary reservoir for Lyme disease-causing bacteria and a putative model organism for studies of aging. These tools have broad implications for biomedical research and ecological engineering. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/563285v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@19a3fb2org.highwire.dtl.DTLVardef@1cbce4corg.highwire.dtl.DTLVardef@1551e0corg.highwire.dtl.DTLVardef@127c028_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

bioRxiv2022

High-throughput molecular recording can determine the identity and biological activity of sequences within single cells

Large datasets of biomolecular activities are crucial for protein engineering, yet their scarcity due to limited experimental throughput hampers progress. We introduce Direct High-throughput Activity Recording and Measurement Assay (DHARMA), an innovative method enabling ultra-high-throughput measurement of biomolecular activities. DHARMA employs molecular recording techniques to link activity directly to editing rates of DNA segments contiguous with the coding sequence of biomolecule of interest. Leveraging a Bayesian inference-based denoising model, we mapped the fitness landscape of TEV protease across 160,000 variants. Using these datasets, we benchmarked popular protein models and showed the impact of data size on model performance. We also developed circuit self-optimization strategies and demonstrated DHARMAs capability to measure a wide range of biomolecular activities. DHARMA represents a leap forward, offering the machine learning community unparalleled datasets for accurate protein fitness prediction and enhancing our understanding of sequence-to-function relationships. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/483646v4_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@47425borg.highwire.dtl.DTLVardef@557a0corg.highwire.dtl.DTLVardef@1bfc091org.highwire.dtl.DTLVardef@1fb7fdf_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

bioRxiv2021

Targeting glucose metabolism sensitizes pancreatic cancer to MEK inhibition

Pancreatic ductal adenocarcinoma (PDAC) is almost universally lethal. A critical unmet need exists to explore essential susceptibilities in PDAC and identify druggable targets for tumor maintenance. This is especially challenging in the context of PDAC, in which activating mutations of KRAS oncogene (KRAS*) dominate the genetic landscape. By using an inducible KrasG12D-driven p53 deficient PDAC mouse model (iKras model), we demonstrate that RAF-MEK-MAPK signaling is the major effector for oncogenic Kras-mediated tumor maintenance. However, MEK inhibition has minimal therapeutic effect as single agent for PDAC both in vitro and in vivo. Although MEK inhibition partially downregulates the transcription of glycolysis genes, it surprisingly fails to suppress the glycolysis flux in PDAC cell, which is a major metabolism effector of oncogenic KRAS. Accordingly, In vivo genetic screen identified multiple glycolysis genes as potential targets that may sensitize tumor cells to MAPK inhibition. Furthermore, inhibition of glucose metabolism with low dose 2-deoxyglucose (2DG) in combination with MEK inhibitor dramatically induces apoptosis in KrasG12D-driven PDAC cell in vitro, inhibits xenograft tumor growth and prolongs the overall survival of genetically engineered mouse PDAC model. Molecular and metabolism analyses indicate that co-targeting glycolysis and MAPK signaling results in apoptosis via induction of lethal ER stress. Together, our work suggests that combinatory inhibition of glycolysis and MAPK pathway may serve as an alternative approach to target KRAS-driven PDAC.

cancer biology↗

bioRxiv2019

The Lon protease links nucleotide metabolism with proteotoxic stress

During stress all cells must maintain proteome quality while sustaining critical processes like DNA replication. In bacteria, the Lon protease is the central route for degradation of misfolded proteins. Here, we show that in Caulobacter crescentus Lon controls dNTP pools during stress through degradation of the transcription factor CcrM. We find that elevated dNTP/NTP ratios in {Delta}lon cells protects them from deletion of otherwise essential dTTP-producing pathways and shields them from lethality of hydroxyurea, known to catastrophically deplete dNTPs. Increased dNTP production in {Delta}lon results from higher expression of ribonucleotide reductase driven by increased CcrM. We show that misfolded proteins can stabilize CcrM by competing for limiting protease and Lon-dependent control of dNTPs improves fitness during protein misfolding conditions. We propose that linking dNTP production with the availability of Lon allows Caulobacter to maintain replication capacity when misfolded protein burden increases, such as during rapid growth or unanticipated proteotoxic stress. HighlightsO_LIdCTP deaminase (DCD) is dispensable when Lon protease is absent due to increased dNTP pools. C_LIO_LIStabilization of the Lon substrate CcrM transcriptionally upregulates ribonucleotide reductase, affording protection against hydroxyurea. C_LIO_LIMisfolded proteins can competitively inhibit CcrM degradation by the Lon protease. C_LIO_LITitration of protein quality control is a mechanism that allows cells to respond to stresses that lack dedicated signal response pathways. C_LI

microbiology↗

bioRxiv2018

The Biological Evaluation of Fusidic Acid and Its Hydrogenation Derivative as Antimicrobial and Anti-inflammatory Agents

Fusidic acid (WU-FA-00) is the only commercially available antimicrobial from the fusidane family that has a narrow spectrum of activity against Gram-positive bacteria. Herein, the hydrogenation derivative (WU-FA-01) of fusidic acid was prepared, and both compounds were examined against a panel of six bacterial strains. In addition, their anti-inflammation properties were evaluated using a 12-O-tetradecanoylphorbol-13-acetate (TPA)-induced mouse ear edema model. The results of the antimicrobial assay revealed that both WU-FA-00 and WU-FA-01 displayed a high level of antimicrobial activity against Gram-positive strains. Moreover, killing kinetic studies were performed, and the results were in accordance with the MIC and MBC results. We also demonstrated that the topical application of WU-FA-00 and WU-FA-01 effectively decreased TPA-induced ear edema in a dose-dependent manner. This inhibitory effect was associated with the inhibition of TPA-induced up-regulation of pro-inflammation cytokines IL-1{beta}, TNF- and COX-2. WU-FA-01 significantly suppressed the expression levels of p65, I{kappa}B-, and p-I{kappa}B- in the TPA-induced mouse ear model. Overall, our results showed that WU-FA-00 and WU-FA-01 not only had effective antimicrobial activities in vitro, especially to the Gram-positive bacteria, but also possessed strong anti-inflammatory effects in vivo. These results provide a scientific basis for developing fusidic acid derivatives as antimicrobial and anti-inflammatory agents.

pharmacology and toxicology↗

bioRxiv2018

YAP1 Oncogene is a Context-specific Driver for Pancreatic Ductal Adenocarcinoma

AbstractTranscriptomic profiling classifies pancreatic ductal adenocarcinoma (PDAC) into several molecular subtypes with distinctive histological and clinical characteristics. However, little is known about the molecular mechanisms that define each subtype and their correlation with clinical outcome. Mutant KRAS is the most prominent driver in PDAC, present in over 90% of tumors, but the dependence of tumors on oncogenic KRAS signaling varies between subtypes. In particular, squamous subtype are relatively independent of oncogenic KRAS signaling and typically display much more aggressive clinical behavior versus progenitor subtype. Here, we identified that YAP1 activation is enriched in the squamous subtype and associated with poor prognosis. Activation of YAP1 in progenitor subtype cancer cells profoundly enhanced malignant phenotypes and transformed progenitor subtype cells into squamous subtype. Conversely, depletion of YAP1 specifically suppressed tumorigenicity of squamous subtype PDAC cells. Mechanistically, we uncovered a significant positive correlation between WNT5A expression and the YAP1 activity in human PDAC, and demonstrated that WNT5A overexpression led to YAP1 activation and recapitulated YAP1-dependent but Kras-independent phenotype of tumor progression and maintenance. Thus, our study identifies YAP1 oncogene as a major driver of squamous subtype PDAC and uncovers the role of WNT5A in driving PDAC malignancy through activation of the YAP pathway.

cancer biology↗