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1.
J Proteome Res ; 22(8): 2727-2733, 2023 08 04.
Article in English | MEDLINE | ID: mdl-37493333

ABSTRACT

Molecular characterization is transforming research on novel therapeutics in breast cancer. High-throughput methodologies are unbiased to hypotheses; thus, data produced are relevant to address unlimited questions and provide resources for the experimental design process. However, the opportunity is often overlooked because data are not readily accessed or analyzed. Herein, the Breast Cancer Proteome Portal, the only online tool for analyzing protein and transcript abundances across the three breast cancer proteomics studies, is presented. The tool is applied to demonstrate that cofunctioning protein abundances are highly correlated and, conversely, high abundance correlation may be an indicator of cofunction. Furthermore, the cofunction-correlation relationship is less resolved at the transcript level. By applying analysis and visualization tools within the Breast Cancer Proteome Portal, insights are garnered about serine synthesis and the compartmentalization of one-carbon metabolism in breast cancer, and a transcription factor tumorigenic regulatory network of glutamine deamination and oxidation is proposed, illustrating that the Breast Cancer Proteome Portal provides an interface for garnering insights from the information-rich studies of the breast cancer proteome.


Subject(s)
Breast Neoplasms , Proteome , Humans , Female , Proteome/genetics , Proteome/metabolism , Breast Neoplasms/genetics , Proteomics/methods
2.
Life Sci Alliance ; 6(6)2023 06.
Article in English | MEDLINE | ID: mdl-37037593

ABSTRACT

Tumor-initiating cells contained within the aggressive brain tumor glioma (glioma stem cells, GSCs) promote radioresistance and disease recurrence. However, mechanisms of resistance are not well understood. Herein, we show that the proteome-level regulation occurring upon radiation treatment of several patient-derived GSC lines predicts their resistance status, whereas glioma transcriptional subtypes do not. We identify a mechanism of radioresistance mediated by the transfer of the metabolic enzyme NAMPT to radiosensitive cells through microvesicles (NAMPT-high MVs) shed by resistant GSCs. NAMPT-high MVs rescue the proliferation of radiosensitive GSCs and fibroblasts upon irradiation, and upon treatment with a radiomimetic drug or low serum, and increase intracellular NAD(H) levels. Finally, we show that the presence of NAMPT within the MVs and its enzymatic activity in recipient cells are necessary to mediate these effects. Collectively, we demonstrate that the proteome of GSCs provides unique information as it predicts the ability of glioma to resist radiation treatment. Furthermore, we establish NAMPT transfer via MVs as a mechanism for rescuing the proliferation of radiosensitive cells upon irradiation.


Subject(s)
Glioma , Proteome , Humans , Proteome/metabolism , Proteomics , Neoplasm Recurrence, Local , Glioma/radiotherapy , Glioma/metabolism , Neoplastic Stem Cells/metabolism
3.
J Nutr ; 151(11): 3313-3328, 2021 11 02.
Article in English | MEDLINE | ID: mdl-34383048

ABSTRACT

BACKGROUND: Skeletal muscle progenitor cells (MPCs) repair damaged muscle postinjury. Pyruvate kinase M2 (PKM2) is a glycolytic enzyme (canonical activity) that can also interact with other proteins (noncanonical activity) to modify diverse cellular processes. Recent evidence links PKM2 to MPC proliferation. OBJECTIVES: This study aimed to understand cellular roles for PKM2 in MPCs and the necessity of PKM2 in MPCs for muscle regeneration postinjury. METHODS: Cultured, proliferating MPCs (C2C12 cells) were treated with a short hairpin RNA targeting PKM2 or small molecules that selectively affect canonical and noncanonical PKM2 activity (shikonin and TEPP-46). Cell number was measured, and RNA-sequencing and metabolic assays were used in follow-up experiments. Immunoprecipitation coupled to proteomics was used to identify binding partners of PKM2. Lastly, an MPC-specific PKM2 knockout mouse was generated and challenged with a muscle injury to determine the impact of PKM2 on regeneration. RESULTS: When the noncanonical activity of PKM2 was blocked or impaired, there was an increase in reactive oxygen species concentrations (1.6-2.0-fold, P < 0.01). Blocking noncanonical PKM2 activity also increased lactate excretion (1.2-1.6-fold, P < 0.05) and suppressed mitochondrial oxygen consumption (1.3-1.6-fold, P < 0.01). Glutamate dehydrogenase 1 (GLUD1) was identified as a PKM2 binding partner and blocking noncanonical PKM2 activity increased GLUD activity (1.5-1.6-fold, P < 0.05). Mice with an MPC-specific PKM2 deletion did not demonstrate impaired muscle regeneration. CONCLUSIONS: The results suggest that the noncanonical activity of PKM2 is important for MPC proliferation in vitro and demonstrate GLUD1 as a PKM2 binding partner. Because no impairments in muscle regeneration were detected in a mouse model, the endogenous environment may compensate for loss of PKM2.


Subject(s)
Glycolysis , Pyruvate Kinase , Animals , Cell Proliferation , Mice , Muscle Fibers, Skeletal/metabolism , Pyridazines , Pyrroles , Pyruvate Kinase/genetics , Pyruvate Kinase/metabolism , Regeneration
4.
Metabolites ; 11(5)2021 May 12.
Article in English | MEDLINE | ID: mdl-34066041

ABSTRACT

Stable-isotope tracing is a method to measure intracellular metabolic pathway utilization by feeding a cellular system a stable-isotope-labeled tracer nutrient. The power of the method to resolve differential pathway utilization is derived from the enrichment of metabolites in heavy isotopes that are synthesized from the tracer nutrient. However, the readout is complicated by the presence of naturally occurring heavy isotopes that are not derived from the tracer nutrient. Herein we present an algorithm, and a tool that applies it (PolyMID-Correct, part of the PolyMID software package), to computationally remove the influence of naturally occurring heavy isotopes. The algorithm is applicable to stable-isotope tracing data collected on low- and high- mass resolution mass spectrometers. PolyMID-Correct is open source and available under an MIT license.

5.
Nutr Metab (Lond) ; 17: 73, 2020.
Article in English | MEDLINE | ID: mdl-32863845

ABSTRACT

The kinetics and localization of the reactions of metabolism are coordinated by the enzymes that catalyze them. These enzymes are controlled via a myriad of mechanisms including inhibition/activation by metabolites, compartmentalization, thermodynamics, and nutrient sensing-based transcriptional or post-translational regulation; all of which are influenced as a network by the activities of metabolic enzymes and have downstream potential to exert direct or indirect control over protein abundances. Considering many of these enzymes are active only when one or more vitamin cofactors are present; the availability of vitamin cofactors likely yields a systems-influence over tissue proteomes. Furthermore, vitamins may influence protein abundances as nuclear receptor agonists, antioxidants, substrates for post-translational modifications, molecular signal transducers, and regulators of electrolyte homeostasis. Herein, studies of vitamin intake are explored for their contribution to unraveling vitamin influence over protein expression. As a body of work, these studies establish vitamin intake as a regulator of protein abundance; with the most powerful demonstrations reporting regulation of proteins directly related to the vitamin of interest. However, as a whole, the field has not kept pace with advances in proteomic platforms and analytical methodologies, and has not moved to validate mechanisms of regulation or potential for clinical application.

6.
Nat Commun ; 10(1): 1600, 2019 04 08.
Article in English | MEDLINE | ID: mdl-30962452

ABSTRACT

In the preceding decades, molecular characterization has revolutionized breast cancer (BC) research and therapeutic approaches. Presented herein, an unbiased analysis of breast tumor proteomes, inclusive of 9995 proteins quantified across all tumors, for the first time recapitulates BC subtypes. Additionally, poor-prognosis basal-like and luminal B tumors are further subdivided by immune component infiltration, suggesting the current classification is incomplete. Proteome-based networks distinguish functional protein modules for breast tumor groups, with co-expression of EGFR and MET marking ductal carcinoma in situ regions of normal-like tumors and lending to a more accurate classification of this poorly defined subtype. Genes included within prognostic mRNA panels have significantly higher than average mRNA-protein correlations, and gene copy number alterations are dampened at the protein-level; underscoring the value of proteome quantification for prognostication and phenotypic classification. Furthermore, protein products mapping to non-coding genomic regions are identified; highlighting a potential new class of tumor-specific immunotherapeutic targets.


Subject(s)
Breast Neoplasms/pathology , Carcinoma, Ductal, Breast/pathology , Protein Interaction Maps , Proteome/metabolism , Breast/pathology , Breast Neoplasms/genetics , Breast Neoplasms/immunology , Carcinoma, Ductal, Breast/genetics , Carcinoma, Ductal, Breast/immunology , DNA Copy Number Variations , Datasets as Topic , Female , Gene Expression Profiling , Humans , Oligonucleotide Array Sequence Analysis , Proteogenomics/methods , Proteome/genetics , Proteome/immunology , RNA, Messenger/metabolism
7.
Methods Mol Biol ; 1862: 279-291, 2019.
Article in English | MEDLINE | ID: mdl-30315475

ABSTRACT

This chapter is intended to introduce the fundamental principles of the heat map, the most widely used medium to present high-throughput data, to scientists unaccustomed to analyzing large data sets. Its scope includes describing the general features of heat maps, how their components are designed, the meaning of parameters such as "distance method" and "linkage method," and the influence of manipulations such as row-scaling and logarithmic transformations on data interpretation and presentation. This chapter may serve as a guide to understanding the use of heat maps in published analyses or to aid in their design, allowing efficient interpretations of high-throughput experiments, exploration of hypotheses, or clear communications of findings.


Subject(s)
Big Data , Data Analysis , Proteomics/methods , Algorithms , Cluster Analysis , Datasets as Topic , Humans , Proteomics/instrumentation , Tissue Array Analysis/instrumentation , Tissue Array Analysis/methods
8.
Mol Cell ; 56(3): 425-435, 2014 Nov 06.
Article in English | MEDLINE | ID: mdl-25458843

ABSTRACT

Pyruvate lies at a central biochemical node connecting carbohydrate, amino acid, and fatty acid metabolism, and the regulation of pyruvate flux into mitochondria represents a critical step in intermediary metabolism impacting numerous diseases. To characterize changes in mitochondrial substrate utilization in the context of compromised mitochondrial pyruvate transport, we applied (13)C metabolic flux analysis (MFA) to cells after transcriptional or pharmacological inhibition of the mitochondrial pyruvate carrier (MPC). Despite profound suppression of both glucose and pyruvate oxidation, cell growth, oxygen consumption, and tricarboxylic acid (TCA) metabolism were surprisingly maintained. Oxidative TCA flux was achieved through enhanced reliance on glutaminolysis through malic enzyme and pyruvate dehydrogenase (PDH) as well as fatty acid and branched-chain amino acid oxidation. Thus, in contrast to inhibition of complex I or PDH, suppression of pyruvate transport induces a form of metabolic flexibility associated with the use of lipids and amino acids as catabolic and anabolic fuels.


Subject(s)
Proprotein Convertase 1/metabolism , Proprotein Convertase 2/metabolism , Pyruvic Acid/metabolism , Animals , Cell Line, Tumor , Cell Proliferation , Citric Acid Cycle , Fatty Acids/metabolism , Glutamine/metabolism , Humans , Lipogenesis , Metabolic Flux Analysis , Mice , Muscle Fibers, Skeletal/metabolism , Oxidation-Reduction
9.
Biochim Biophys Acta ; 1830(2): 2361-9, 2013 Feb.
Article in English | MEDLINE | ID: mdl-22917650

ABSTRACT

BACKGROUND: Stem cells must negotiate their surrounding nutritional and signaling environment and respond accordingly to perform various functions. Metabolic pathways enable these responses, providing energy and biosynthetic precursors for cell proliferation, motility, and other functions. As a result, metabolic enzymes and the molecules which control them are emerging as attractive targets for the manipulation of stem cells. To exploit these targets a detailed characterization of metabolic flux regulation is required. SCOPE OF REVIEW: Here we outline recent advances in our understanding of metabolism in pluripotent stem cells and adult progenitors. We describe the regulation of glycolysis, mitochondrial metabolism, and the redox state of stem cells, highlighting key enzymes and transcription factors involved in the control of these pathways. MAJOR CONCLUSIONS: A general description of stem cell metabolism has emerged, involving increased glycolysis, limited oxidative metabolism, and resistance to oxidative damage. Moving forward, the application of systems-based approaches to stem cells will help shed light on metabolic pathway utilization in proliferating and quiescent stem cells. GENERAL SIGNIFICANCE: Metabolic flux contributes to the unique properties of stem cells and progenitors. This review provides a detailed overview of how stem cells metabolize their surrounding nutrients to proliferate and maintain lineage homeostasis. This article is part of a Special Issue entitled Biochemistry of Stem Cells.


Subject(s)
Stem Cells/metabolism , Humans , Oxidation-Reduction , Phenotype , Stem Cells/cytology
10.
Biomacromolecules ; 13(10): 3031-8, 2012 Oct 08.
Article in English | MEDLINE | ID: mdl-22920794

ABSTRACT

Synthetic scaffolds are crucial to applications in regenerative medicine; however, the foreign body response can impede regeneration and may lead to failure of the implant. Herein we report the development of a tissue engineering scaffold that allows attachment and proliferation of regenerating cells while reducing the foreign body response by localized delivery of an anti-inflammatory agent. Electrospun fibers composed of poly(l-lactic) acid (PLLA) and poly(ε-caprolactone) (PCL) were prepared with and without the steroid anti-inflammatory drug, dexamethasone. Analysis of subcutaneous implants demonstrated that the PLLA fibers encapsulating dexamethasone evoked a less severe inflammatory response than the other fibers examined. They also displayed a controlled release of dexamethasone over a period of time conducive to tissue regeneration and allowed human mesenchymal stem cells to adhere to and proliferate on them in vitro. These observations demonstrate their potential as a building block for tissue engineering scaffolds.


Subject(s)
Anti-Inflammatory Agents/administration & dosage , Anti-Inflammatory Agents/pharmacology , Biocompatible Materials/chemistry , Dexamethasone/administration & dosage , Dexamethasone/pharmacology , Foreign-Body Reaction/prevention & control , Mesenchymal Stem Cells/cytology , Anti-Inflammatory Agents/therapeutic use , Biocompatible Materials/chemical synthesis , Cell Adhesion , Cell Proliferation , Cell Survival , Dexamethasone/therapeutic use , Foreign-Body Reaction/drug therapy , Humans , Lactic Acid/chemistry , Mesenchymal Stem Cells/drug effects , Particle Size , Polyesters/chemistry , Polymers/chemistry , Surface Properties , Temperature , Tissue Engineering/methods
12.
Biophys J ; 96(9): 3529-42, 2009 May 06.
Article in English | MEDLINE | ID: mdl-19413959

ABSTRACT

The availability of quantitative experimental data on the kinetics of actin assembly has enabled the construction of many mathematical models focused on explaining specific behaviors of this complex system. However these ad hoc models are generally not reusable or accessible by the large community of actin biologists. In this work, we present a comprehensive model that integrates and unifies much of the in vitro data on the components of the dendritic nucleation mechanism for actin dynamics. More than 300 simulations have been run based on compartmental and three-dimensional spatial versions of this model. Several key findings are highlighted, including an explanation for the sharp boundary between actin assembly and disassembly in the lamellipodia of migrating cells. Because this model, with the simulation results, is "open source", in the sense that it is publicly available and editable through the Virtual Cell database (http://vcell.org), it can be accessed, analyzed, modified, and extended.


Subject(s)
Actin Cytoskeleton/metabolism , Actins/metabolism , Models, Biological , Pseudopodia/metabolism , Actin Capping Proteins/metabolism , Actin Depolymerizing Factors/metabolism , Actin-Related Protein 2-3 Complex/metabolism , Cell Movement/physiology , Computer Simulation , Cytoskeleton/metabolism , Internet , Kinetics , Software , Video Recording
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