Exam 1: Lectures 1-5 Flashcards
Who allowed us to see the structure of the nervous system?
Golgi and Ramón y Cajal
Golgi stain
staining a neuron black by formation of silver chromate precipitate
- aka Golgi technique
- for the first time, allowed visualization of the cells of the brain
for nerve terminals @ the neuromuscular junction …
acetylcholine activates the axon
Reticular Theory
posited by Golgi, argues for one individual cell in the nervous system (everything is connected)
Neuron Doctrine
large network of cells
- proved right by discovery of synaptic cleft
- Golgi technique wasn’t enough to prove this
chemical signals
one cell to the other (using neurotransmitters), dominate neuro-activation
- slight decay in time from one cell to another
- involve presynaptic vesicles in presynaptic cell
Modern vindication of Golgi
“brainbow” technique: genetic labeling of neurons w/ dif. colors (up to 90 colors)
BQ: why do the neurons of the ctenophore not follow the neuron doctrine? (they instead show a continuous plasma membrane forming a syncytium)
could depend on where in the evolutionary tree you fall, ctenophores are not as evolutionary advanced as mammals or humans (their closest evolutionary relatives are jellyfish, which are newer and more neurologically advanced than them)
- as you increase in complexity, you need more than just an interconnected network in order to process all the info and perform computations
- could also be differences in synaptic strengths, even in a neural network that is entirely connected
cytoskeleton
gives neurons their overall shape
- dense packing of microtubules (MT), actin, and neurofilaments, which are important for shape and movement
- organelles and motor proteins are transported on MTs in each direction
- organelles and motor proteins are transported on MTs in each direction
Classification of neurons
functional and morphological classification
Functional classification
- Sensory neurons
- Motor neurons
- Interneurons
– Relay (projection) neurons - typically excitatory
– Local neurons (stay in vicinity) - typically inhibitory
Morphological classification
- Unipolar neurons
- Bipolar neurons
- Multipolar
Glia
constitute roughly half of the cells of the central nervous system (CNS)
- long-considered to be static bystanders to its formation and function
- influence nervous system development from neuronal birth, axon specification, and growth (through circuit assembly and synaptogenesis)
Types of glial cells
microglia and macroglia
microglia
- Primary immune cells in CNS (similar to peripheral macrophages in PNS)
- Activated after injury or infection
- Scavenging, phagocytosis, repair
- Interact w/ multiple cell types of CNS and regulate multiple developmental and functional processes (Synaptic pruning, clearing apoptotic neurons, etc.)
Macroglia
- Schwann cells
- Oligodendrocytes
- Astrocytes
Schwann cells
form myelin sheath (protective layer around axon) in PNS
Oligodendrocytes
individua neurons that form myelin sheaths in the CNS (which speed up nerve impulse conduction)
- provide metabolic support to axons
Astrocytes
most abundant in CNS and have various functions
- Star-shaped
- Most numerous in glia
- Provide nourishment to neurons, regulate ionic and neurotransmitter concentrations
- Intimately connected to neuronal synapses (bi-directional crosstalk w/ neurons)
- Can uptake key neurotransmitters at the synapse (intimately connected to neuronal synapses)
Functions of glial cells
- Structural support
- Form myelin sheath
- Scavenge debris after cell death
- Help neuronal signaling (e.g. uptake of neurotransmitters)
- Buffer potassium concentrations at equilibrium
- Guide neuron migration and axon outgrowth
- Form blood-brain barrier
- Release growth factors to nourish nerve cells
Defects in myelination can …
… lead to disease (seen in mice and humans)
- Patients can have impaired gait and limb deformities
- Most common inherited peripheral neuropathy (protein localities to Schwann cells)
ions
charged molecules that have passive affinities to reach an equilibrium
membrane potential, Vm
made up by charge separation across the neuronal membrane
diffusion
ions move from high concentration to low concentrations (PASSIVE)
Electrostatic force
ions are charged and will move in an electric field (voltage different) towards opposite polarity (PASSIVE)
The membrane is a powerful …
… insulator
- Lipid bilayer has electrical capacitance (works as an electrical insulator to separate electrical charges on either side of it)
- lipid bilayer is important to ionic flow across it
Resting membrane potential results from …
… the separation of charge across the cell’s membrane
- Extracellular has excess of +
- Intracellular has excess of -
- Charge separation maintained by lipid bilayer (a barrier to ion diffusion)
Why is there a membrane potential at rest?
Don’t want to be constant in one state, i.e. can’t have the neuron constantly firing
- dif. in neuron potential = problems w/ communication
Voltage clamp technique (1940s)
Wires inside of glass micropipettes connected to voltage amplifier and oscilloscope, oscilloscope records steady membrane potential of -65 mV for most neurons
Depolarization
Vm ↑
Hyperpolarization
Vm ↓
Repolarization
Vm ↓ after depolarization
An ideal model system to study neuronal membrane voltage is …
… the squid giant axon
- Almost no one uses the model anymore, but was very helpful in the 1950s to lay the foundation for neuroscience
- Very long axon, 1 mm in diameter
Extracellular and intracellular ionic concentrations
- Potassium high on inside of neuron, low on outside
- Sodium low on inside, high on outside
- Potassium has high chemical drive to leave cell, sodium wants to get in (wants equilibrium)
Ions strive for _____ AND _____ across the lipid bilayer
chemical, electrical equilibrium
- there is a tug of war between chemical and electrical drives, and when the forces are equal and opposite (no net flow of that ion), that’s the ion’s equilibrium potential
Nernst Equation
Ex = (RT)/(zF) * ln([X]o/[X]i)
Is there ever a time when the membrane potential moves towards the Na equilibrium potential?
During an action potential (when sodium flows into the cell)
Resting potential determined by the …
… proportions of dif. types of ion channels that are open, together w/ the value of their equilibrium potentials
- resting membrane potential arises when things are not moving (everything is equal)
when only K+ channels are open
strong drive for sodium to get into neuron, this is quickly counterbalanced by potassium, which as sodium comes in, potassium goes out of neuron
-creates new membrane potential that is very close to the potential of potassium, b/c there are more potassium channels in the membrane than sodium channels which are also more likely to open (membrane is more permeable to potassium)
for permeability to multiple ions, there is a battle for control of the membrane
Ion gradients give rise to currents b/c they each want to be at their Nernst potential, and the one w/ the bigger conductance always win
Why is the resting membrane potential negative?
- Leak channels (voltage independent channels, some for potassium, some for sodium), allows ions to slowly leak
- Leakage through these K+ channels stabilizes the negative resting membrane potential
- Anions that balance K+ inside cell cannot exit w/ K+, which leaves behind an excess of negative charge (anions used to be balanced w/ K+)
- K2P (two-pore domain potassium) leak channels are outward rectifying (outward current flows more easily)
How to balance the K+ leak efflux?
Na+ leak channels, which allow sodium to leak inside neuron
Ionic concentration also initiated and maintained by …
… active transport
- ~50% of neuron’s energy used to pump Na+ out and K+ in against their concentration gradients
- Very slow process; pumps operate at speeds more than 10,000x slower than channels (ions typically flow through channels at a rate of 107 or 108 per second)
energy from ATP hydrolysis pumps …
… 3 Na+ ions OUT and 2 K+ ions IN against their electrochemical gradient
What effect does STR have on the resting membrane potential and why?
Makes resting membrane potential more positive, makes it closer to threshold which makes it easier to have APs