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Biology subjects

Do, B. T.

Publications and source records attributed to Do, B. T..

14 recordsLinked to original sources

DNA replication stress redistributes the histone methyltransferase G9a and activates lineage-specific gene expression

Perturbations that cause DNA replication stress can induce lineage-specific changes in gene expression. Specifically, DNA replication stress activates primed loci in euchromatin that are epigenetically silenced, but the mechanism linking stalled replication forks to the activation of distal genes remains unknown. Using reactivation of fetal hemoglobin (HbF) by hydroxyurea in erythroid progenitors as a model, we find that redistribution of the repressive histone methyltransferase G9a from cis-regulatory elements to stalled replication forks increases transcription of the gamma-globin genes HBG1 and HBG2, explaining how hydroxyurea increases HbF expression and benefits patients with sickle cell anemia. In addition to loss of HBG1/2 silencing, redistribution of G9a also increases expression of a primed, GATA1-driven transcriptional program. G9a and H3K9me2 accumulate at stalled replication forks in a manner dependent on the DNA-binding protein WIZ. Overexpression of G9a partially reduces the impact of G9a redistribution on HBG1/2 transcript levels. Together, these findings support a model in which stalled replication forks recruit corepressors away from primed genes, thereby facilitating their activation and explaining how DNA replication stress promotes lineage-specific changes in gene expression.

cell biology↗

Physiological folate levels constrain nucleotide synthesis and increase dependence on nucleotide salvage

Proliferating cells must acquire nucleotides to support DNA replication, yet how cells meet these nucleotide demands for proliferation under physiological conditions remains understudied. Here, we investigated how physiological nutrient availability shapes nucleotide acquisition strategies in a mouse model of B-cell acute lymphoblastic leukemia (B-ALL). To assess how environmental nutrients impact nucleotide metabolism, we formulated a mouse plasma-like medium (MPM) that reproduces the circulating metabolite composition of plasma from mice with B-ALL and assessed how this influenced nucleotide metabolism relative to standard culture conditions, where nucleotide acquisition has historically been studied. We find that leukemia cells cultured in MPM acquire nucleotides through salvage pathways, and that select nucleotide salvage pathways are required for proliferation under physiological conditions. Of note, this dependency on nucleotide salvage in plasma-like conditions was not caused by precursor metabolite limitation for de novo synthesis. Instead, we found that physiological folate levels are insufficient to support deoxynucleotide triphosphate (dNTP) synthesis for genome replication, leading to DNA replication stress and impaired proliferation when nucleotide salvage is disrupted. Consistently, dietary folate restriction exacerbates the impaired leukemia progression phenotype of nucleotide salvage-deficient B-ALL cells. Together, these findings demonstrate that access to folates is an endogenous limitation for nucleotide synthesis in plasma-like nutrient conditions, increasing the relevance of nucleotide salvage pathways for leukemia progression. More broadly, this work highlights how micronutrient abundance can influence metabolic dependencies and reveals that folate levels shape nucleotide metabolism under physiological conditions.

cancer biology↗

Cysteine-mediated bortezomib resistance is governed by α-ketoacid availability

Dissecting how metabolite availability impacts drug sensitivity is critical for understanding therapy resistance. While proteasome inhibitors like the boronic acid proteasome inhibitor bortezomib are cornerstones of therapy for multiple myeloma, the clinical utility of these drugs is often limited by development of resistance, the metabolic drivers of which remain poorly understood. In this study, we find that -ketoacids, including pyruvate, increase sensitivity to boronic acid proteasome inhibitors independent of their conventional roles in metabolism. Instead, -ketoacids directly react with intracellular cysteine to form thiazolidines, sequestering cysteine away from forming conjugates with boronic acid proteasome inhibitors and detoxifying these drugs. Preventing cysteine-mediated detoxification through -ketoacid supplementation increases the efficacy of boronic acid proteasome inhibitors, leading to greater proteasome inhibition and cytotoxicity that is reversed by cysteine supplementation. These findings suggest that modulating available cysteine through -ketoacid interactions can impact effective levels of some drugs in cells, and represent a potential strategy to overcome resistance and maximize the efficacy of boronic acid proteasome inhibitors.

cancer biology↗

Pancreatic cancer-associated organ dysfunction promotes muscle autophagy and contributes to peripheral tissue wasting

Normal pancreas function supports both digestion and the hormonal regulation of whole-body metabolism. We find pancreatic ductal adenocarcinoma (PDAC) disrupts the normal function of the remaining pancreas, leading to altered systemic metabolism and peripheral tissue wasting that begins early in disease progression. Using mouse models of PDAC, we find small pancreas tumors lead to both endocrine and exocrine pancreatic dysfunction that results in systemic nutrient depletion and loss of both muscle and fat tissue. Providing free glucose in the diet that is absorbed despite pancreatic exocrine dysfunction causes hyperglycemia and blunts fat wasting without affecting muscle loss. Muscle mass can be restored by free dietary amino acids or pancreatic enzyme supplementation. Exocrine dysfunction causing reduced dietary protein digestion promotes muscle proteolysis and autophagy. Autophagy is a major driver of muscle wasting in PDAC, as muscle-specific deletion of the core autophagy gene Atg7 also reduces muscle wasting. Disrupting muscle autophagy without restoring systemic nutrition slows tumor growth and improves survival of mice with PDAC. Tracing the fate of amino acids released from muscle of mice with PDAC shows redistribution to both tumor and host tissues. Notably, improving nutrition in mice with disrupted muscle autophagy promotes tumor growth. Together, the data argue that early peripheral tissue wasting associated with early pancreatic cancer is driven by altered normal pancreatic organ function that leads to reduced nutrition and enhanced muscle autophagy, releasing nutrients to support both tumor and host metabolism.

cancer biology↗

Riboflavin drives nucleotide biosynthesis and iron-sulfur metabolism to promote acute myeloid leukemia

Riboflavin is a diet-derived vitamin in higher organisms that serves as a precursor for flavin mononucleotide and flavin adenine dinucleotide, key cofactors that participate in oxidoreductase reactions. Here, using proteomic, metabolomic and functional genomics approaches, we describe a specific riboflavin dependency in acute myeloid leukemia and demonstrate that, in addition to energy production via oxidative phosphorylation, a key biological role of riboflavin is to enable nucleotide biosynthesis and iron-sulfur cluster metabolism. Genetic perturbation of riboflavin metabolism pathways or exogenous depletion in physiological culture medium induce nucleotide imbalance and DNA damage responses, as well as impair the stability and activity of proteins which utilize [4Fe-4S] iron-sulfur clusters as cofactors. We identify a window of therapeutic opportunity upon riboflavin starvation or chemical riboflavin metabolism perturbation and demonstrate that this strongly synergizes with BCL-2 inhibition. Our work identifies riboflavin as a critical metabolic dependency in leukemia, with functions beyond energy production.

cancer biology↗

Site of breast cancer metastasis is independent of single nutrient levels

Cancer metastasis is a major contributor to patient morbidity and mortality1, yet the factors that determine the organs where cancers can metastasize are incompletely understood. In this study, we quantify the absolute levels of over 100 nutrients available across multiple tissues in mice and investigate how this relates to the ability of breast cancer cells to grow in different organs. We engineered breast cancer cells with broad metastatic potential to be auxotrophic for specific nutrients and assessed their ability to colonize different organs. We then asked how tumor growth in different tissues relates to nutrient availability and tumor biosynthetic activity. We find that single nutrients alone do not define the sites where breast cancer cells can grow as metastases. Additionally, we identify purine synthesis as a requirement for tumor growth and metastasis across many tissues and find that this phenotype is independent of tissue nucleotide availability or tumor de novo nucleotide synthesis activity. These data suggest that a complex interplay of multiple nutrients within the microenvironment dictates potential sites of metastatic cancer growth, and highlights the interdependence between extrinsic environmental factors and intrinsic cellular properties in influencing where breast cancer cells can grow as metastases.

cancer biology↗

Screening in serum-derived medium reveals differential response to compounds targeting metabolism

INTRODUCTION INTRODUCTION RESULTS DISCUSSION KEY RESOURCES TABLE CONTACT FOR REAGENT AND... EXPERIMENTAL MODEL AND SUBJECT... METHOD DETAILS QUANTIFICATION AND STATISTICAL... Data resources DATA AND SOFTWARE AVAILABILITY AUTHOR CONTRIBUTIONS DECLARATION OF INTERESTS REFERENCES Studies of cancer cells in standard culture conditions have long been used as a tractable tool for drug discovery. Cell culture provides unparalleled experimental flexibility, scalability, and low cost to identify and understand the response to cancer therapeutics; however, drug responses in culture are not always predictive of drug response in animal models or in patients1 ...

cancer biology↗

Cancer tissue of origin constrains the growth and metabolism of metastases

Metastases arise from a subset of cancer cells that disseminate from the primary tumor; however, the factors that contribute to proliferation of cancer cells in a secondary site are incompletely understood. The ability of cancer cells to thrive in a new tissue site is influenced by genetic and epigenetic changes that are important for disease initiation and progression, but these factors alone do not predict if and where cancers metastasize. Specific cancer types metastasize to consistent subsets of tissues, suggesting that factors associated with the primary tumor influence the tissue environments where cancers can grow. Using pancreatic cancer as a model, we find that primary and metastatic tumors share many metabolic similarities and that the tumor initiating capacity and proliferation of both primary- and metastasis-derived cells is favored in the primary site relative to the metastatic site. Moreover, propagating lung or liver metastatic cells in vivo to enrich for tumor cells adapted to grow in the lung or the liver does not enhance their relative ability to form large tumors in those sites, change their preference to grow in the primary site, nor stably alter some aspects of their metabolism relative to primary tumors. We also analyzed primary liver and lung cancer cells and find that these cells also exhibit a preference to grow in their primary site relative to metastatic sites. Together, these data suggest that the cancer tissue-of-origin influences the metabolism of both primary and metastatic tumors and may impact whether cancer cells can thrive in a metastatic site.

cancer biology↗

Nucleotide depletion promotes cell fate transitions by inducing DNA replication stress

Control of cellular identity requires coordination of developmental programs with environmental factors such as nutrient availability, suggesting that modulating aspects of metabolism could alter cell state along differentiation trajectories. Here we find that nucleotide depletion and DNA replication stress are common drivers of cell state progression across a variety of normal and transformed hematopoietic systems. DNA replication stress-induced cell state transitions begin during S phase and are independent of ATR/ATM checkpoint signaling, double-stranded DNA break formation, and changes in cell cycle length. In systems where differentiation is blocked by oncogenic transcription factor expression, replication stress leads to increased activity at primed regulatory loci and expression of lineage-appropriate maturation genes while progenitor TF activity is still present. Altering the baseline cell state by manipulating the cohort of transcription factors expressed redirects the effect of replication stress towards induction of a different set of lineage-specific genes. The ability of replication stress to selectively activate primed maturation programs across different cellular contexts suggests a general mechanism by which metabolism can promote lineage-appropriate and potentially therapeutically relevant cell state transitions.

cancer biology↗

Cell Programmed Nutrient Partitioning in the Tumor Microenvironment

The tumor microenvironment (TME) includes transformed cancer and infiltrating immune cells1,2. Cancer cells can consume large quantities of glucose through Warburg metabolism3,4 that can be visualized with positron emission tomography (PET). While infiltrating immune cells also rely on glucose, disruptions to metabolism can contribute to tumor immunological evasion5-9. How immune cell metabolism is programmed or restrained by competition with cancer cells for nutrients, remains uncertain. Here we used PET tracers to measure the accessibility of glucose and glutamine to cell subsets in the TME. Surprisingly, myeloid cells including macrophages were the greatest consumers of intra-tumoral glucose, followed by T cells and cancer cells. Cancer cells, in contrast, had the highest glutamine uptake. This distinct nutrient partitioning was programmed through selective mTORC1 signaling and glucose or glutamine-related gene expression. Inhibition of glutamine uptake enhanced glucose uptake across tumor resident cell types and shifted macrophage phenotype, demonstrating glucose is not limiting in the TME. Thus, cancer cells are not the only cells in tumors which exhibit high glucose uptake in vivo and instead preferentially utilize glutamine over other cell types. We observe that intrinsic cellular programs can play a major role in the use of some nutrients. Together, these data argue cell selective partitioning of glucose and glutamine can be exploited to develop therapies and imaging strategies to alter the metabolic programs of specific cell populations in the TME.

cancer biology↗

Increased demand for NAD+ relative to ATP drives aerobic glycolysis

Aerobic glycolysis, or preferential fermentation of glucose-derived pyruvate to lactate despite available oxygen, is a hallmark of proliferative metabolism that is observed across many organisms and conditions. To better understand why aerobic glycolysis is associated with cell proliferation, we examined the metabolic consequence of activating the pyruvate dehydrogenase complex (PDH) to increase mitochondrial pyruvate oxidation at the expense of fermentation. We find that increasing PDH activity impairs cell proliferation by reducing the nicotinamide adenine dinucleotide cofactor ratio (NAD+/NADH). This change in NAD+/NADH ratio is caused by an increase in mitochondrial membrane potential that impairs mitochondrial electron transport and NAD+ regeneration. Uncoupling mitochondrial respiration from ATP synthesis or increasing ATP hydrolysis restores NAD+/NADH homeostasis and proliferation even when glucose oxidation is increased. These data suggest that when the demand for NAD+ to support oxidation reactions exceeds the demand for ATP consumption in cells, NAD+ regeneration by mitochondrial respiration becomes constrained, promoting fermentation despite available oxygen. This argues that cells engage in aerobic glycolysis when the cellular demand for NAD+ is in excess of the cellular demand for ATP.

biochemistry↗

Precursor microRNA Identification Using Deep Convolutional Neural Networks

Precursor microRNA (pre-miRNA) identification is the basis for identifying microRNAs (miRNAs), which have important roles in post-transcriptional regulation of gene expression. In this paper, we propose a deep learning method to identify whether a small non-coding RNA sequence is a pre-miRNA or not. We outperform state-of-the-art methods on three benchmark datasets, namely the human, cross-species, and new datasets. The key of our method is to use a matrix representation of predicted secondary structure as input to a 2D convolutional network. The neural network extracts optimized features automatically instead of using a large number of handcrafted features as most existing methods do. Code and results are available at https://github.com/peace195/miRNA-identification-conv2D.

bioinformatics↗

The novel lncRNA lnc-NR2F1 is pro-neurogenic and mutated in human neurodevelopmental disorders

Long noncoding RNAs (lncRNAs) have been shown to act as important cell biological regulators including cell fate decisions but are often ignored in human genetics. Combining differential lncRNA expression during neuronal lineage induction with copy number variation morbidity maps of a cohort of children with autism spectrum disorder/intellectual disability versus healthy controls revealed focal genomic mutations affecting several lncRNA candidate loci. Here we find that a t(5:12) chromosomal translocation in a family manifesting neurodevelopmental symptoms disrupts specifically lnc-NR2F1. We further show that lnc-NR2F1 is an evolutionarily conserved lncRNA functionally enhances induced neuronal cell maturation and directly occupies and regulates transcription of neuronal genes including autism-associated genes. Thus, integrating human genetics and functional testing in neuronal lineage induction is a promising approach for discovering candidate lncRNAs involved in neurodevelopmental diseases.

neuroscience↗

Opportunities And Obstacles For Deep Learning In Biology And Medicine

Deep learning, which describes a class of machine learning algorithms, has recently showed impressive results across a variety of domains. Biology and medicine are data rich, but the data are complex and often ill-understood. Problems of this nature may be particularly well-suited to deep learning techniques. We examine applications of deep learning to a variety of biomedical problems--patient classification, fundamental biological processes, and treatment of patients--and discuss whether deep learning will transform these tasks or if the biomedical sphere poses unique challenges. We find that deep learning has yet to revolutionize or definitively resolve any of these problems, but promising advances have been made on the prior state of the art. Even when improvement over a previous baseline has been modest, we have seen signs that deep learning methods may speed or aid human investigation. More work is needed to address concerns related to interpretability and how to best model each problem. Furthermore, the limited amount of labeled data for training presents problems in some domains, as do legal and privacy constraints on work with sensitive health records. Nonetheless, we foresee deep learning powering changes at both bench and bedside with the potential to transform several areas of biology and medicine.

bioinformatics↗