So now that we've covered all of the biosignaling pathways that we're going to cover in our clutch prep biochemistry course, we're going to move on and talk about signaling defects and cancer. Thus, defects in biosignaling pathways can cause the biosignaling pathways to fail to elicit the cell response, and that will lead to disease. Cancer is a very specific type of disease characterized by uncontrollable and inappropriate cell growth, and it is also associated with signaling defects. In our next lesson video, we're going to introduce the types of genes that control cell growth so that we can take a better look at understanding how cancer can develop. I'll see you guys in our next video.
- 1. Introduction to Biochemistry4h 34m
- What is Biochemistry?5m
- Characteristics of Life12m
- Abiogenesis13m
- Nucleic Acids16m
- Proteins12m
- Carbohydrates8m
- Lipids10m
- Taxonomy10m
- Cell Organelles12m
- Endosymbiotic Theory11m
- Central Dogma22m
- Functional Groups15m
- Chemical Bonds13m
- Organic Chemistry31m
- Entropy17m
- Second Law of Thermodynamics11m
- Equilibrium Constant10m
- Gibbs Free Energy37m
- 2. Water3h 23m
- 3. Amino Acids8h 10m
- Amino Acid Groups8m
- Amino Acid Three Letter Code13m
- Amino Acid One Letter Code37m
- Amino Acid Configuration20m
- Essential Amino Acids14m
- Nonpolar Amino Acids21m
- Aromatic Amino Acids14m
- Polar Amino Acids16m
- Charged Amino Acids40m
- How to Memorize Amino Acids1h 7m
- Zwitterion33m
- Non-Ionizable Vs. Ionizable R-Groups11m
- Isoelectric Point10m
- Isoelectric Point of Amino Acids with Ionizable R-Groups51m
- Titrations of Amino Acids with Non-Ionizable R-Groups44m
- Titrations of Amino Acids with Ionizable R-Groups38m
- Amino Acids and Henderson-Hasselbalch44m
- 4. Protein Structure10h 4m
- Peptide Bond18m
- Primary Structure of Protein31m
- Altering Primary Protein Structure15m
- Drawing a Peptide44m
- Determining Net Charge of a Peptide42m
- Isoelectric Point of a Peptide37m
- Approximating Protein Mass7m
- Peptide Group22m
- Ramachandran Plot26m
- Atypical Ramachandran Plots12m
- Alpha Helix15m
- Alpha Helix Pitch and Rise20m
- Alpha Helix Hydrogen Bonding24m
- Alpha Helix Disruption23m
- Beta Strand12m
- Beta Sheet12m
- Antiparallel and Parallel Beta Sheets39m
- Beta Turns26m
- Tertiary Structure of Protein16m
- Protein Motifs and Domains23m
- Denaturation14m
- Anfinsen Experiment20m
- Protein Folding34m
- Chaperone Proteins19m
- Prions4m
- Quaternary Structure15m
- Simple Vs. Conjugated Proteins10m
- Fibrous and Globular Proteins11m
- 5. Protein Techniques14h 5m
- Protein Purification7m
- Protein Extraction5m
- Differential Centrifugation15m
- Salting Out18m
- Dialysis9m
- Column Chromatography11m
- Ion-Exchange Chromatography35m
- Anion-Exchange Chromatography38m
- Size Exclusion Chromatography28m
- Affinity Chromatography16m
- Specific Activity16m
- HPLC29m
- Spectrophotometry51m
- Native Gel Electrophoresis23m
- SDS-PAGE34m
- SDS-PAGE Strategies16m
- Isoelectric Focusing17m
- 2D-Electrophoresis23m
- Diagonal Electrophoresis29m
- Mass Spectrometry12m
- Mass Spectrum47m
- Tandem Mass Spectrometry16m
- Peptide Mass Fingerprinting16m
- Overview of Direct Protein Sequencing30m
- Amino Acid Hydrolysis10m
- FDNB26m
- Chemical Cleavage of Bonds29m
- Peptidases1h 6m
- Edman Degradation30m
- Edman Degradation Sequenator and Sequencing Data Analysis4m
- Edman Degradation Reaction Efficiency20m
- Ordering Cleaved Fragments21m
- Strategy for Ordering Cleaved Fragments58m
- Indirect Protein Sequencing Via Geneomic Analyses24m
- 6. Enzymes and Enzyme Kinetics13h 38m
- Enzymes24m
- Enzyme-Substrate Complex17m
- Lock and Key Vs. Induced Fit Models23m
- Optimal Enzyme Conditions9m
- Activation Energy24m
- Types of Enzymes41m
- Cofactor15m
- Catalysis19m
- Electrostatic and Metal Ion Catalysis11m
- Covalent Catalysis18m
- Reaction Rate10m
- Enzyme Kinetics24m
- Rate Constants and Rate Law35m
- Reaction Orders52m
- Rate Constant Units11m
- Initial Velocity31m
- Vmax Enzyme27m
- Km Enzyme42m
- Steady-State Conditions25m
- Michaelis-Menten Assumptions18m
- Michaelis-Menten Equation52m
- Lineweaver-Burk Plot43m
- Michaelis-Menten vs. Lineweaver-Burk Plots20m
- Shifting Lineweaver-Burk Plots37m
- Calculating Vmax40m
- Calculating Km31m
- Kcat46m
- Specificity Constant1h 1m
- 7. Enzyme Inhibition and Regulation 8h 42m
- Enzyme Inhibition13m
- Irreversible Inhibition12m
- Reversible Inhibition9m
- Inhibition Constant26m
- Degree of Inhibition15m
- Apparent Km and Vmax29m
- Inhibition Effects on Reaction Rate10m
- Competitive Inhibition52m
- Uncompetitive Inhibition33m
- Mixed Inhibition40m
- Noncompetitive Inhibition26m
- Recap of Reversible Inhibition37m
- Allosteric Regulation7m
- Allosteric Kinetics17m
- Allosteric Enzyme Conformations33m
- Allosteric Effectors18m
- Concerted (MWC) Model25m
- Sequential (KNF) Model20m
- Negative Feedback13m
- Positive Feedback15m
- Post Translational Modification14m
- Ubiquitination19m
- Phosphorylation16m
- Zymogens13m
- 8. Protein Function 9h 41m
- Introduction to Protein-Ligand Interactions15m
- Protein-Ligand Equilibrium Constants22m
- Protein-Ligand Fractional Saturation32m
- Myoglobin vs. Hemoglobin27m
- Heme Prosthetic Group31m
- Hemoglobin Cooperativity23m
- Hill Equation21m
- Hill Plot42m
- Hemoglobin Binding in Tissues & Lungs31m
- Hemoglobin Carbonation & Protonation19m
- Bohr Effect23m
- BPG Regulation of Hemoglobin24m
- Fetal Hemoglobin6m
- Sickle Cell Anemia24m
- Chymotrypsin18m
- Chymotrypsin's Catalytic Mechanism38m
- Glycogen Phosphorylase21m
- Liver vs Muscle Glycogen Phosphorylase21m
- Antibody35m
- ELISA15m
- Motor Proteins14m
- Skeletal Muscle Anatomy22m
- Skeletal Muscle Contraction45m
- 9. Carbohydrates7h 49m
- Carbohydrates19m
- Monosaccharides15m
- Stereochemistry of Monosaccharides33m
- Monosaccharide Configurations32m
- Cyclic Monosaccharides20m
- Hemiacetal vs. Hemiketal19m
- Anomer14m
- Mutarotation13m
- Pyranose Conformations23m
- Common Monosaccharides33m
- Derivatives of Monosaccharides21m
- Reducing Sugars21m
- Reducing Sugars Tests19m
- Glycosidic Bond48m
- Disaccharides40m
- Glycoconjugates12m
- Polysaccharide7m
- Cellulose7m
- Chitin8m
- Peptidoglycan12m
- Starch13m
- Glycogen14m
- Lectins16m
- 10. Lipids5h 49m
- Lipids15m
- Fatty Acids30m
- Fatty Acid Nomenclature11m
- Omega-3 Fatty Acids12m
- Triacylglycerols11m
- Glycerophospholipids24m
- Sphingolipids13m
- Sphingophospholipids8m
- Sphingoglycolipids12m
- Sphingolipid Recap22m
- Waxes5m
- Eicosanoids19m
- Isoprenoids9m
- Steroids14m
- Steroid Hormones11m
- Lipid Vitamins19m
- Comprehensive Final Lipid Map13m
- Biological Membranes16m
- Physical Properties of Biological Membranes18m
- Types of Membrane Proteins8m
- Integral Membrane Proteins16m
- Peripheral Membrane Proteins12m
- Lipid-Linked Membrane Proteins21m
- 11. Biological Membranes and Transport 6h 37m
- Biological Membrane Transport21m
- Passive vs. Active Transport18m
- Passive Membrane Transport21m
- Facilitated Diffusion8m
- Erythrocyte Facilitated Transporter Models30m
- Membrane Transport of Ions29m
- Primary Active Membrane Transport15m
- Sodium-Potassium Ion Pump20m
- SERCA: Calcium Ion Pump10m
- ABC Transporters12m
- Secondary Active Membrane Transport12m
- Glucose Active Symporter Model19m
- Endocytosis & Exocytosis18m
- Neurotransmitter Release23m
- Summary of Membrane Transport21m
- Thermodynamics of Membrane Diffusion: Uncharged Molecule51m
- Thermodynamics of Membrane Diffusion: Charged Ion1h 1m
- 12. Biosignaling9h 45m
- Introduction to Biosignaling44m
- G protein-Coupled Receptors32m
- Stimulatory Adenylate Cyclase GPCR Signaling42m
- cAMP & PKA28m
- Inhibitory Adenylate Cyclase GPCR Signaling29m
- Drugs & Toxins Affecting GPCR Signaling20m
- Recap of Adenylate Cyclase GPCR Signaling5m
- Phosphoinositide GPCR Signaling58m
- PSP Secondary Messengers & PKC27m
- Recap of Phosphoinositide Signaling7m
- Receptor Tyrosine Kinases26m
- Insulin28m
- Insulin Receptor23m
- Insulin Signaling on Glucose Metabolism57m
- Recap Of Insulin Signaling in Glucose Metabolism6m
- Insulin Signaling as a Growth Factor1h 1m
- Recap of Insulin Signaling As A Growth Factor9m
- Recap of Insulin Signaling1m
- Jak-Stat Signaling25m
- Lipid Hormone Signaling15m
- Summary of Biosignaling13m
- Signaling Defects & Cancer20m
- Review 1: Nucleic Acids, Lipids, & Membranes2h 47m
- Nucleic Acids 19m
- Nucleic Acids 211m
- Nucleic Acids 34m
- Nucleic Acids 44m
- DNA Sequencing 19m
- DNA Sequencing 211m
- Lipids 111m
- Lipids 24m
- Membrane Structure 110m
- Membrane Structure 29m
- Membrane Transport 18m
- Membrane Transport 24m
- Membrane Transport 36m
- Practice - Nucleic Acids 111m
- Practice - Nucleic Acids 23m
- Practice - Nucleic Acids 39m
- Lipids11m
- Practice - Membrane Structure 17m
- Practice - Membrane Structure 25m
- Practice - Membrane Transport 16m
- Practice - Membrane Transport 26m
- Review 2: Biosignaling, Glycolysis, Gluconeogenesis, & PP-Pathway3h 12m
- Biosignaling 19m
- Biosignaling 219m
- Biosignaling 311m
- Biosignaling 49m
- Glycolysis 17m
- Glycolysis 27m
- Glycolysis 38m
- Glycolysis 410m
- Fermentation6m
- Gluconeogenesis 18m
- Gluconeogenesis 27m
- Pentose Phosphate Pathway15m
- Practice - Biosignaling13m
- Practice - Bioenergetics 110m
- Practice - Bioenergetics 216m
- Practice - Glycolysis 111m
- Practice - Glycolysis 27m
- Practice - Gluconeogenesis5m
- Practice - Pentose Phosphate Path6m
- Review 3: Pyruvate & Fatty Acid Oxidation, Citric Acid Cycle, & Glycogen Metabolism2h 26m
- Pyruvate Oxidation9m
- Citric Acid Cycle 114m
- Citric Acid Cycle 27m
- Citric Acid Cycle 37m
- Citric Acid Cycle 411m
- Metabolic Regulation 18m
- Metabolic Regulation 213m
- Glycogen Metabolism 16m
- Glycogen Metabolism 28m
- Fatty Acid Oxidation 111m
- Fatty Acid Oxidation 28m
- Citric Acid Cycle Practice 17m
- Citric Acid Cycle Practice 26m
- Citric Acid Cycle Practice 32m
- Glucose and Glycogen Regulation Practice 14m
- Glucose and Glycogen Regulation Practice 26m
- Fatty Acid Oxidation Practice 14m
- Fatty Acid Oxidation Practice 27m
- Review 4: Amino Acid Oxidation, Oxidative Phosphorylation, & Photophosphorylation1h 48m
- Amino Acid Oxidation 15m
- Amino Acid Oxidation 211m
- Oxidative Phosphorylation 18m
- Oxidative Phosphorylation 210m
- Oxidative Phosphorylation 310m
- Oxidative Phosphorylation 47m
- Photophosphorylation 15m
- Photophosphorylation 29m
- Photophosphorylation 310m
- Practice: Amino Acid Oxidation 12m
- Practice: Amino Acid Oxidation 22m
- Practice: Oxidative Phosphorylation 15m
- Practice: Oxidative Phosphorylation 24m
- Practice: Oxidative Phosphorylation 35m
- Practice: Photophosphorylation 15m
- Practice: Photophosphorylation 21m
Signaling Defects & Cancer - Online Tutor, Practice Problems & Exam Prep
Defects in biosignaling pathways can lead to diseases like cancer, characterized by uncontrolled cell growth. Two key gene types regulate this process: proto-oncogenes, which promote normal cell division (acting like a green light), and tumor suppressor genes, which inhibit cell division (acting like a red light). Mutations can convert proto-oncogenes into oncogenes, promoting cancer, while mutated tumor suppressor genes fail to inhibit growth, akin to broken brakes. Understanding these mechanisms is crucial for grasping cancer development and potential therapeutic targets.
Signaling Defects & Cancer
Video transcript
Signaling Defects & Cancer
Video transcript
So in this video, we're going to introduce the 2 types of genes that regulate cell growth. And again, in a healthy and normal cell, there are 2 types of genes that regulate cell growth that we have numbered down below, number 1 and number 2, and so the first one is going to be proto-oncogenes. Now proto-oncogenes are genes themselves that provide signals that promote appropriate cell division. And so, proto-oncogenes pretty much act like the green light for cell division, allowing cell division to proceed again at a normal and healthy appropriate rate. And so if we take a look at our image down below at the proto-oncogene, notice that we're pretty much saying here that it acts like the green light for cell division, allowing cell division to proceed at a normal and healthy rate at an appropriate rate. And so proto-oncogenes are pretty much acting like the gas pedal for cell division. And so a classic example of a proto-oncogene is the gene that encodes the monomeric G protein Ras, which recall Ras was found in the insulin RTK signaling pathway as a growth hormone. And so when the Ras G Protein is active, it will appropriately and healthily and normally stimulate or promote cell growth. And so Ras is a classic example of a proto-oncogene.
Now the second type of gene that is again found in healthy and normal cells that regulate cell growth, are these tumor suppressor genes. And so the tumor suppressor genes, as their name is going to be genes that provide signals that suppress or inhibit cell division. And so tumor suppressor genes pretty much act like the red light for cell division, inhibiting cell division, acting like the brakes for cell division. And so if we take a look at our image down below, notice that we're showing you that tumor suppressors pretty much act like the red light for cell division to again stop or inhibit cell division from proceeding and so, pretty much tumor suppressors act like the brakes to cell division, inhibiting cell division, again at a healthy and normal rate of inhibition. And so a classic example of tumor suppressor genes are the genes that encode the phosphate groups, and so they reverse the kinase activity. And so phosphatases, which we have seen are involved with the termination or the inhibition of a signal, would be used to inhibit the signal and inhibit cell growth, again as we just indicated here.
And so this is the end of our introduction to the types of genes regulating cell growth. And again, in healthy and normal cells, there are proto-oncogenes, which act as the green light for cell division, and tumor suppressor genes which act as the red light for cell division. And so this here concludes this video, and I'll see you guys in our next one.
Signaling Defects & Cancer
Video transcript
In this video, we're going to introduce how oncogenes, which are different than the proto oncogenes that we introduced in our last lesson video, and mutated tumor suppressor genes actually promote cancer. Although the proto oncogenes that we talked about in our last lesson video are healthy, normal, and essential, they are also really susceptible to mutations that generate oncogenes. Oncogenes are different than proto oncogenes. Proto oncogenes are normal, healthy, and essential, whereas oncogenes are bad because they are mutated genes that promote unrestrained cell growth or essentially oncogenes are mutated genes that promote cancer. These are bad genes that we do not want. The proto oncogene encoding the monomeric G protein called Ras is actually one of the most commonly mutated in human cancer tumors. When the proto oncogene encoding Ras is mutated, it becomes an oncogene. Notice down below, on the left-hand side in image number 1, we're showing you how oncogenes can lead to cancer development, and on the right-hand side in image number 2, how mutated tumor suppressor genes can lead to cancer development. We'll start off with image number 1 here. Of course, the number 1 in the text corresponds with the number 1 in the image. What we're showing you is that the most common mutation in cancer tumors is the loss of Ras's intrinsic GTPase activity. Recall from our previous lesson videos when we covered insulin RTK biosignalling, that the GTPase activity of a G protein will cleave the high energy active GTP into the low energy inactive GDP. The GTPase activity is used to inactivate the G protein. However, if there is a mutation that leads to the loss of the GTPase activity, then the G protein will not be able to inactivate itself. That means it's going to keep Ras in the active state. If Ras is in the active state, it's going to overstimulate or overpromote cell growth leading to unrestrained cell growth and cancer. In our image number 1 below, notice that at the top we're showing you our ligand binding to the receptor, leading to a series of signal transduction events that ultimately makes its way into the nucleus to affect transcription factors that affect the transcription of particular genes in our DNA. Notice here we're showing you an oncogene, and it's an oncogene, which means that it has a mutation in it. When the transcription factors promote the transcription of this oncogene here, it's going to lead to the mutated Ras protein. This mutated Ras protein is going to have a loss of intrinsic GTPase activity, which means it will not be able to inactivate itself and will therefore remain in the active state. We know mutated Ras is going to overstimulate cell growth and lead to the development of cancer. In image number 2, we show you how mutations in tumor suppressor genes such as phosphatases can also lead to cancer development. In our image below in image number 2, notice again that we're showing you the ligand binding to the receptor here in the membrane, leading to a series of signal transduction events that make its way into the nucleus to activate specific transcription factors. Notice here that the DNA gene we're showing you is for a mutated tumor suppressor gene. Normally, we know that tumor suppressor genes are healthy, normal, and essential, and they are used as brakes to help inhibit cell growth. However, if you have a mutated tumor suppressor gene, that means you have broken brakes. When these transcription factors promote the transcription of the mutated tumor suppressor gene, it's going to lead to a mutated phosphatase—this yellow protein that we're showing you here. The mutated phosphatase will not be able to work or function properly, meaning it will not be able to remove phosphate groups and reverse the activity of phosphatases. It will be unable to inhibit cell growth, and therefore, it's going to promote cancer. It's almost like having broken brakes. If you have broken brakes that will not stop cell growth, then cell growth is going to be promoted, and cancer will be promoted. This concludes our lesson on how oncogenes and mutated tumor suppressor genes promote cancer. As we move forward in our course, we'll be able to get some practice applying these concepts. I'll see you guys in our next video.
Is there a difference between oncogenes and tumor suppressor genes?
The protein product of the Ras oncogene is a mutated Ras protein. All of the following would be true EXCEPT:
How does a proto-oncogene differ from an oncogene?
Here’s what students ask on this topic:
What are proto-oncogenes and how do they function in normal cell growth?
Proto-oncogenes are genes that play a crucial role in normal cell growth and division. They act like a green light, promoting cell division at a healthy and controlled rate. Essentially, they function as the gas pedal for cell division. A classic example of a proto-oncogene is the gene encoding the monomeric G protein Ras, which is involved in the insulin RTK signaling pathway. When Ras is active, it stimulates cell growth appropriately. However, when proto-oncogenes mutate, they can become oncogenes, leading to uncontrolled cell growth and cancer.
How do tumor suppressor genes prevent cancer?
Tumor suppressor genes act as the brakes for cell division, inhibiting cell growth and preventing uncontrolled cell proliferation. They provide signals that suppress or inhibit cell division, ensuring that cells do not divide uncontrollably. A classic example of a tumor suppressor gene is the gene encoding phosphatases, which reverse kinase activity and terminate signaling pathways. When these genes are mutated, they fail to inhibit cell growth, leading to unrestrained cell division and potentially cancer. Essentially, mutated tumor suppressor genes are like broken brakes, unable to stop cell growth.
What is the difference between proto-oncogenes and oncogenes?
Proto-oncogenes are normal, healthy genes that promote cell division and growth at a controlled rate. They act like a green light for cell division. Oncogenes, on the other hand, are mutated versions of proto-oncogenes. These mutations cause the genes to promote unrestrained cell growth, leading to cancer. For example, the proto-oncogene encoding the Ras protein can mutate into an oncogene, resulting in the loss of its intrinsic GTPase activity. This keeps Ras in an active state, overstimulating cell growth and contributing to cancer development.
How do mutations in tumor suppressor genes lead to cancer?
Mutations in tumor suppressor genes lead to cancer by disabling the genes' ability to inhibit cell growth. Normally, tumor suppressor genes act as brakes, preventing uncontrolled cell division. When these genes are mutated, they lose their function, akin to having broken brakes. For instance, a mutated tumor suppressor gene encoding a phosphatase will fail to remove phosphate groups and reverse kinase activity, leading to unrestrained cell growth. This inability to inhibit cell division promotes cancer development, as the cells continue to proliferate uncontrollably.
What role does the Ras protein play in cancer development?
The Ras protein, encoded by a proto-oncogene, plays a significant role in cell growth and division. In its normal state, Ras promotes healthy cell growth by activating signaling pathways. However, when the proto-oncogene encoding Ras mutates, it becomes an oncogene. This mutation often results in the loss of Ras's intrinsic GTPase activity, preventing it from inactivating itself. Consequently, Ras remains in an active state, continuously stimulating cell growth. This unrestrained cell growth leads to the development of cancer, making Ras one of the most commonly mutated genes in human cancer tumors.