Biology subjects

Bott, A. J.

Publications and source records attributed to Bott, A. J..

9 recordsLinked to original sources

bioRxiv2026

Hyperactivation of β-catenin rewires mitochondrial fuel selection in liver cancer cells

Metabolic state is tightly linked to cell fate, and expression of the mitochondrial pyruvate carrier (MPC), which imports pyruvate into mitochondria, is a robust marker of it. The transcriptional regulators that set metabolic state, however, remain poorly defined. In the liver, {beta}-catenin is one of the determinants of metabolic zonation, and activating CTNNB1 mutations are frequent in hepatocellular carcinoma. Here we show that {beta}-catenin regulates metabolic state in liver cancer cells. An unbiased CRISPR screen that uses endogenous MPC1 transcript abundance as the marker identifies CTNNB1. Activating {beta}-catenin pharmacologically or genetically reduces MPC1 and MPC2 transcript and protein levels, and MPC expression is also low in {beta}-catenin-driven liver tumors in vivo. Beyond the MPC, {beta}-catenin activation impairs assembly of respiratory Complexes III and IV, reduces mitochondrial DNA content and respiratory capacity, elongates mitochondrial networks and remodels the lipidome. Stable isotope tracing shows reduced entry of glucose- and lactate-derived carbon into the TCA cycle alongside increased oxidation of palmitate and oleate. These findings identify {beta}-catenin as a regulator of metabolic state that drives a fuel switch from carbohydrate to fatty acid oxidation in liver cancer cells.

biochemistry↗

bioRxiv2026

SLC16A6 is a tyrosine transporter for the melanosome

Cells enable specialized metabolism by compartmentalizing metabolic pathways into distinct organelles, which requires the membrane transport of metabolites. In melanocytes, the amino acid tyrosine is imported into developing melanosomes for the synthesis of the UV-protective pigment melanin1,2. In spite of extensive biochemical characterization, the identity of the melanosomal tyrosine transporter remains unknown. Here, we identify SLC16A6 as an orphan melanosome-localized metabolite transporter. Genetic screens reveal that SLC16A6 expression is driven by the SOX10-MITF axis, the well-characterized master regulatory program governing melanogenesis and melanosomal homeostasis3,4. By redirecting SLC16A6 to the plasma membrane with an S240A mutation5, we demonstrate that SLC16A6 transports tyrosine, a process competitively inhibited by other bulky amino acids. We further determine that SLC16A6 is sufficient for in vitro melanosomal tyrosine uptake. Genetic depletion of SLC16A6 triggered loss of melanosome biogenesis and function as well as depletion of most melanosomal components. Collectively, these findings establish SLC16A6 as a melanosomal tyrosine transporter that is essential for melanosome biogenesis.

cell biology↗

bioRxiv2026

Lineage specifying transcription factors determine cell function by direct control of metabolism

Execution of a complex cellular function requires the coherent expression of a set of genes that encode the requisite biochemical program. It is believed that this is typically accomplished by employing common transcription factors to activate those genes, thus ensuring coherence. However, many of these programmatic gene sets are expressed at differing levels and in distinct configurations in different cell types. This creates a unique challenge for the logic of gene regulation--precisely tuning the expression of programs across cell types while maintaining coherence. Using the glycolysis pathway as a model of co-expressed genes with highly divergent cell-specific regulation, we developed a CRISPR screening approach to identify trans-acting factors that control RNA abundance. Using this platform, we discovered that lineage-specifying transcription factors directly activate glycolytic gene expression and alter metabolism. We showed that impaired metabolism disrupts lineage-specific activities via loss of specialized biochemical pathways and functions. We hypothesize that lineage-specifying transcription factors directly regulate metabolic gene expression to ensure that cellular metabolism is tuned to the specific demands imparted by specialized cell function.

cell biology↗

bioRxiv2025

Identification of genomic features that uniquely impact estrogen receptor alpha binding and its effects on gene expression in endometrial cancer

Estrogen receptor alpha (ER) is an established oncogenic transcription factor in breast and endometrial cancer; however, more is known about the mechanisms controlling ER behavior in breast cancer, and therapies targeting ER have been much more successful in breast cancer. To address this disparity, we characterize the genomic features that control ER in endometrial cancer and determine to what extent these factors differ from those in breast cancer. We focus on the locations of estrogen response elements (EREs), ERs preferred DNA binding motif, throughout the human genome. To identify factors that predict ER genomic binding and effects on target gene expression, we apply machine learning to genomic data for each ERE in Ishikawa cells (ER-positive endometrial cancer) and T-47D cells (ER-positive breast cancer). Many of these factors, such as chromatin accessibility and histone modifications, are predictive of ER activity in both cell lines. However, the transcription factors that predict ER activity are cell type-specific, including FOXA1 and GATA3 in T-47D cells, and ETV4 and SOX17 in Ishikawa cells. In addition, the features that predict ER binding and effects on gene expression differ, with transcription at EREs in the absence of estrogen being predictive of ER regulatory activity. A CRISPR knockout screen in Ishikawa cells, and follow-up experiments, confirm the discovery that SOX17 controls ER activity in endometrial cancer cells. These results identify important genomic features of ER binding and regulatory activity and how these features differ between endometrial cancer and breast cancer cells.

genomics↗

bioRxiv2024

Direct mitochondrial import of lactate supports resilient carbohydrate oxidation

Lactate is the highest turnover circulating metabolite in mammals. While traditionally viewed as a waste product, lactate is an important energy source for many organs, but first must be oxidized to pyruvate for entry into the tricarboxylic acid cycle (TCA cycle). This reaction is thought to occur in the cytosol, with pyruvate subsequently transported into mitochondria via the mitochondrial pyruvate carrier (MPC). Using 13C stable isotope tracing, we demonstrated that lactate is oxidized in the myocardial tissue of mice even when the MPC is genetically deleted. This MPC-independent lactate import and mitochondrial oxidation is dependent upon the monocarboxylate transporter 1 (MCT1/Slc16a1). Mitochondria isolated from the myocardium without MCT1 exhibit a specific defect in mitochondrial lactate, but not pyruvate, metabolism. The import and subsequent mitochondrial oxidation of lactate by mitochondrial lactate dehydrogenase (LDH) acts as an electron shuttle, generating sufficient NADH to support respiration even when the TCA cycle is disrupted. In response to diverse cardiac insults, animals with hearts lacking MCT1 undergo rapid progression to heart failure with reduced ejection fraction. Thus, the mitochondrial import and oxidation of lactate enables carbohydrate entry into the TCA cycle to sustain cardiac energetics and maintain myocardial structure and function under stress conditions.

biochemistry↗

bioRxiv2024

The fate of pyruvate dictates cell growth by modulating cellular redox potential

Pyruvate occupies a central node in carbohydrate metabolism such that how it is produced and consumed can optimize a cell for energy production or biosynthetic capacity. This has been primarily studied in proliferating cells, but observations from the post-mitotic Drosophila fat body led us to hypothesize that pyruvate fate might dictate the rapid cell growth observed in this organ during development. Indeed, we demonstrate that augmented mitochondrial pyruvate import prevented cell growth in fat body cells in vivo as well as in cultured mammalian hepatocytes and human hepatocyte-derived cells in vitro. We hypothesize that this effect on cell size was caused by an increase in the NADH/NAD+ ratio, which rewired metabolism toward gluconeogenesis and suppressed the biomass-supporting glycolytic pathway. Amino acid synthesis was decreased, and the resulting loss of protein synthesis prevented cell growth. Surprisingly, this all occurred in the face of activated pro-growth signaling pathways, including mTORC1, Myc, and PI3K/Akt. These observations highlight the evolutionarily conserved role of pyruvate metabolism in setting the balance between energy extraction and biomass production in specialized post-mitotic cells.

cell biology↗

bioRxiv2024

SLC7A5 is required for citrulline-dependent growth in arginine limited conditions

Tumor cells must optimize metabolite acquisition between synthesis and uptake from their surroundings. The tumor microenvironment is characterized by hypoxia, lactate accumulation, and depletion of many circulating metabolites, including amino acids such as arginine. We performed a metabolism-focused functional screen using CRISPR/Cas9 in a melanoma cell line to identify pathways and factors that enable tumor growth in an arginine-depleted environment. Our screen identified the SLC-family transporter SLC7A5 as required for growth, and we hypothesized that this protein functions as a high-affinity citrulline transporter. Citrulline, an essential precursor to arginine synthesis, is present in human serum at 40 M and supports localized arginine synthesis across diverse tissues. Using isotopic tracing experiments, we show that citrulline uptake and metabolism are dependent upon expression of this transporter. Pharmacological inhibition of SLC7A5 blocks growth in low arginine conditions across a diverse group of cancer cell lines. Loss of SLC7A5 reduces tumor growth and citrulline import in a mouse tumor model. Overall, we identify a conditionally essential role for SLC7A5 in arginine metabolism as a mediator of citrulline uptake, and we propose that SLC7A5-targeting therapeutic strategies in cancer may be especially effective in the context of arginine limitation. Key PointsO_LISLC7A5 is required for proliferation in arginine-free conditions when citrulline is present. C_LIO_LISLC7A5 loss impairs arginine metabolism. C_LIO_LICitrulline import is uniquely dependent on SLC7A5. C_LIO_LISmall molecule inhibitors of SLC7A5 can be paired with senolytic drugs to drive apoptosis. C_LIO_LISLC7A5 knockout decreases citrulline import in a xenograft model. C_LI

biochemistry↗

bioRxiv2021

A non-canonical convergence of carbohydrate and glutamine metabolism is required after metabolic rewiring in 3D environment

The fate of pyruvate, which is modulated by the activity of the mitochondrial pyruvate carrier (MPC), is a defining metabolic feature in many cancers. Diffuse large B-cell lymphomas (DLBCLs) are a genetically and metabolically heterogeneous cancer. Although MPC expression and activity differed between DLBCL subgroups, mitochondrial pyruvate was uniformly consumed by glutamate pyruvate transaminase 2 (GPT2) to support -ketoglutarate production as part of glutaminolysis. This led us to discover that glutamine exceeds pyruvate as a carbon source for the tricarboxylic acid (TCA) cycle in DLBCLs. Furthermore, we found that MPC inhibition unexpectedly leads to decreased glutaminolysis, which is contrary to previous observations in other cell types. We also discovered that MPC inhibition and depletion only decreased DLBCL proliferation in an extracellular matrix (ECM) environment and in vivo xenografts, but not in the typical DLBCL suspension environment. We also have found that the metabolic profile of DLBCL cells in ECM is markedly different from cells in suspension environment. Thus, we report that besides the canonical glutamate dehydrogenase (GDH)-mediated glutaminolysis, the non-canonical GPT2 mediated consumption and assimilation of glutamine and pyruvate in DLBCLs enables their proliferation in an extracellular environment-dependent manner. HIGHLIGHTSO_LIGlutamine, but not glucose, is a major carbon source for the tricarboxylic acid cycle in diffuse large B-cell lymphomas. C_LIO_LIMitochondrial pyruvate supports glutaminolysis in diffuse large B-cell lymphomas by supplying pyruvate for glutamate pyruvate transaminase 2-mediated -ketoglutarate production. C_LIO_LIMitochondrial pyruvate carrier inhibition leads to decreased glutaminolysis in diffuse large B-cell lymphomas. C_LIO_LI -ketoglutarate production is important for diffuse large B-cell lymphoma proliferation in a solid extracellular matrix environment. C_LIO_LIMitochondrial pyruvate carrier activity supports diffuse large B-cell lymphoma proliferation in a solid extracellular matrix environment and in mouse xenografts. C_LI

cancer biology↗

bioRxiv2019

XPRESSyourself: Enhancing and Automating the Ribosome Profiling and RNA-Seq Analysis Toolkit

Ribosome profiling, an application of nucleic acid sequencing for monitoring ribosome activity, has revolutionized our understanding of protein translation dynamics. This technique has been available for a decade, yet the current state and standardization of publicly available computational tools for these data is bleak. We introduce XPRESSyourself, an analytical toolkit that eliminates barriers and bottlenecks associated with this specialized data type by filling gaps in the computational toolset for both experts and non-experts of ribosome profiling. XPRESSyourself automates and standardizes analysis procedures, decreasing time-to-discovery and increasing reproducibility. This toolkit acts as a reference implementation of current best practices in ribosome profiling analysis. We demonstrate this toolkits performance on publicly available ribosome profiling data by rapidly identifying hypothetical mechanisms related to neurodegenerative phenotypes and neuroprotective mechanisms of the small-molecule ISRIB during acute cellular stress. XPRESSyourself brings robust, rapid analysis of ribosome-profiling data to a broad and ever-expanding audience and will lead to more reproducible and accessible measurements of translation regulation. XPRESSyourself software is perpetually open-source under the GPL-3.0 license and is hosted at https://github.com/XPRESSyourself, where users can access additional documentation and report software issues.

bioinformatics↗