🔬Biological Chemistry I Unit 15 – Metabolism and Signaling Pathway Integration
Metabolism and signaling pathways are the backbone of cellular function. They encompass all chemical reactions that maintain life, from breaking down nutrients to building complex molecules. These pathways are tightly regulated to respond to cellular needs and environmental cues.
Understanding metabolism and signaling is crucial for grasping how cells function and communicate. This knowledge forms the basis for studying diseases, developing treatments, and engineering biological systems. From energy production to hormone responses, these processes drive the intricate machinery of life.
G protein-coupled receptors (GPCRs) are the largest family of cell surface receptors
Consist of seven transmembrane domains and interact with heterotrimeric G proteins
Ligand binding induces a conformational change that activates the G protein, which then modulates the activity of effector proteins (enzymes or ion channels)
Receptor tyrosine kinases (RTKs) are cell surface receptors with intrinsic enzymatic activity
Ligand binding induces receptor dimerization and autophosphorylation, creating docking sites for signaling proteins
Nuclear receptors are intracellular receptors that directly regulate gene expression
Ligand binding causes the receptor to translocate to the nucleus and bind to specific DNA sequences, modulating transcription of target genes
Intracellular Signaling Cascades
Signaling cascades amplify and propagate signals from the receptor to the final cellular response
The cAMP/PKA pathway is activated by GPCRs coupled to Gs proteins
Activated Gs stimulates adenylyl cyclase to produce cAMP, which activates protein kinase A (PKA)
PKA phosphorylates various target proteins, modulating their activity
The phospholipase C (PLC) pathway is activated by GPCRs coupled to Gq proteins
Activated Gq stimulates PLC to cleave PIP2 into IP3 and DAG
IP3 triggers calcium release from the endoplasmic reticulum, while DAG activates protein kinase C (PKC)
The MAPK (mitogen-activated protein kinase) pathway is a common downstream effector of many receptors
Consists of a three-tiered kinase cascade (MAPKKK, MAPKK, MAPK) that amplifies the signal
Activated MAPKs can phosphorylate transcription factors, regulating gene expression
The PI3K/Akt pathway is involved in cell survival, growth, and metabolism
Receptor activation recruits PI3K to the membrane, where it converts PIP2 to PIP3
PIP3 recruits Akt (protein kinase B) to the membrane, leading to its activation by phosphorylation
Pathway Integration and Regulation
Metabolic pathways are regulated to maintain homeostasis and respond to cellular needs
Allosteric regulation involves the binding of effectors to enzymes at sites other than the active site
Allosteric activators (AMP for glycogen phosphorylase) and inhibitors (ATP for phosphofructokinase) modulate enzyme activity
Covalent modification, such as phosphorylation, can alter enzyme activity
Example: Glycogen synthase is inactivated by phosphorylation and activated by dephosphorylation
Hormonal regulation allows for the coordination of metabolic activities across tissues
Insulin promotes glucose uptake and storage (glycogenesis) while suppressing glucose production (gluconeogenesis)
Glucagon stimulates glucose production (glycogenolysis and gluconeogenesis) during fasting
Transcriptional regulation controls the expression of metabolic enzymes
The transcription factor SREBP (sterol regulatory element-binding protein) regulates the expression of genes involved in lipid synthesis
Feedback inhibition is a common mechanism for regulating pathway flux
The end product of a pathway inhibits the activity of an earlier enzyme in the pathway (example: ATP inhibits phosphofructokinase in glycolysis)
Metabolic Disorders and Diseases
Inborn errors of metabolism are genetic disorders caused by defects in metabolic enzymes
Phenylketonuria (PKU) is caused by a deficiency in phenylalanine hydroxylase, leading to the accumulation of phenylalanine
Galactosemia is caused by a deficiency in enzymes involved in galactose metabolism, resulting in the accumulation of toxic metabolites
Diabetes mellitus is a group of metabolic disorders characterized by hyperglycemia
Type 1 diabetes is caused by autoimmune destruction of pancreatic beta cells, leading to insulin deficiency
Type 2 diabetes is characterized by insulin resistance and impaired insulin secretion
Obesity is a complex metabolic disorder influenced by genetic, environmental, and behavioral factors
Associated with an increased risk of developing type 2 diabetes, cardiovascular disease, and certain cancers
Metabolic syndrome is a cluster of conditions that increase the risk of heart disease, stroke, and diabetes
Includes abdominal obesity, high blood pressure, high blood sugar, high triglycerides, and low HDL cholesterol
Cancer cells exhibit altered metabolism to support their rapid growth and proliferation
The Warburg effect describes the increased reliance of cancer cells on aerobic glycolysis for energy production
Lab Techniques and Applications
Enzyme assays measure the activity of enzymes by monitoring the formation of products or the disappearance of substrates
Spectrophotometric assays detect changes in absorbance (example: measuring NADH production at 340 nm)
Fluorometric assays detect changes in fluorescence (example: using fluorescent substrates or coupled reactions)
Metabolomics is the study of the complete set of small-molecule metabolites in a biological system
Mass spectrometry (MS) and nuclear magnetic resonance (NMR) are common techniques for metabolite detection and quantification
Isotope labeling allows for the tracking of metabolic fluxes and the identification of pathway intermediates
Stable isotopes (13C, 15N) are used to label substrates, and their incorporation into metabolites is measured
Metabolic flux analysis (MFA) is a computational approach to quantify the rates of metabolic reactions in a network
Uses data from isotope labeling experiments and stoichiometric models to estimate fluxes
Genome-scale metabolic models (GEMs) are mathematical representations of an organism's metabolic network
Integrate genomic, biochemical, and physiological data to predict metabolic capabilities and guide metabolic engineering efforts
High-throughput screening (HTS) is used to identify compounds that modulate the activity of metabolic enzymes or pathways
Automated assays are performed on large libraries of small molecules to identify potential drug candidates or tool compounds