Registration for a live webinar on 'Precision medicine treatment for anticancer drug resistance' is now open.
See webinar detailsWe noted you are experiencing viewing problems
-
Check with your IT department that JWPlatform, JWPlayer and Amazon AWS & CloudFront are not being blocked by your network. The relevant domains are *.jwplatform.com, *.jwpsrv.com, *.jwpcdn.com, jwpltx.com, jwpsrv.a.ssl.fastly.net, *.amazonaws.com and *.cloudfront.net. The relevant ports are 80 and 443.
-
Check the following talk links to see which ones work correctly:
Auto Mode
HTTP Progressive Download Send us your results from the above test links at access@hstalks.com and we will contact you with further advice on troubleshooting your viewing problems. -
No luck yet? More tips for troubleshooting viewing issues
-
Contact HST Support access@hstalks.com
-
Please review our troubleshooting guide for tips and advice on resolving your viewing problems.
-
For additional help, please don't hesitate to contact HST support access@hstalks.com
We hope you have enjoyed this limited-length demo
This is a limited length demo talk; you may
login or
review methods of
obtaining more access.
Printable Handouts
Navigable Slide Index
- Introduction
- Complexity of the human brain
- Brain organ-wide networks
- Cells of the brain: Working in concert
- Section 1 - Neuroglia: the birth of the concept
- The birth of glia
- First images of glia by Rudolf Virchow
- Golgi images of neuroglia (1874)
- Early images of neuroglia
- Section 2 - Astrocytes: Definition, appearance and general physiology
- Astrocytes: Homeostatic cells of the brain
- Spanish school: Images of neuroglia
- Gustaf Magnus Retzius reveals glial diversity
- Classification of astrocytes
- Heterogeneity of astrocytes (morphological)
- Definition of astrocyte
- Labelling with GFAP antibodies
- Visualisation of astrocytic morphology (1)
- Visualisation of astrocytic morphology (2)
- The glial mythology: The numbers
- The glial mythology
- Mammalian astrocytes: From rodents to humans
- Section 3 - Physiology of astrocytes: Ion channels
- General physiology of astrocytes: Ion distribution
- Topological classification of ion channels
- Ion channels expressed in astrocytes
- General physiology of astrocytes: Passive membrane conductance
- Potassium channels define astroglial membrane conductance
- Connexins integrate astrocytes into functional syncytia (1)
- Connexins integrate astrocytes into functional syncytia (2)
- Recapitulation (1)
- Section 4 - Physiology of astrocytes: Receptors
- Ionotropic receptors in astrocytes
- Identification of neurotransmitter receptors
- Glial cells express all known neuroreceptors to neurotransmitters and neurohormones
- Environment restricts receptor expression
- Ionotropic receptors in astroglia
- Metabolic receptors in astrocytes
- Recapitulation (2)
Topics Covered
- The birth of neuroglia
- Astrocytes (the parenchymal astroglia)
- Definition, appearance, and general physiology of astrocytes
- Physiology of astrocytes
- Astrocytes express a remarkable variety of ion channels
- Astrocytes express diverse types of receptors
- The channels and receptors mediate their functions
Links
Series:
Categories:
Therapeutic Areas:
Talk Citation
Verkhratsky, A. (2022, April 28). Astrocytes: definition, appearance and general physiology 1 [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 22, 2024, from https://doi.org/10.69645/CERM2790.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Alexei Verkhratsky has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
Astrocytes: definition, appearance and general physiology 1
Published on April 28, 2022
35 min
A selection of talks on Cell Biology
Transcript
Please wait while the transcript is being prepared...
0:00
Today I'm going to talk
about neuroglial cells
and about a specific
subtype of neuroglial cells
which are called
astroglia or astrocytes.
Now, by means of
self-introduction,
my name is Alexei Verkhratsky
and I am a professor
of Neurophysiology at the
University of Manchester.
All my life, I was studying
glial cells in
health and disease,
trying to understand
how the cells
are working together with
others in the brain,
and what happens to them in
conditions of pathology.
0:33
I'm going to talk
about the brain.
Of course, the human
brain is something
really outstanding
and is probably
the most complicated
system which
has ever been known to
the natural sciences,
because if you think about
it, the evolution of it
which lasted, probably, for
about half a billion years,
about 200 billion cells,
100 billion neurons
and another 100 billion
supportive cells,
which we call
neuroglia, and which is
going to be the topic of
my today presentation.
On top of that, there
are endothelial cells,
pericytes, smooth muscle
cells of blood vessels,
all in the 1.5 litres
volume of the skull.
All of these cells
are connected with,
we don't know precisely,
but certainly many 10s,
if not 100s of trillions
of connections.
All this operates at a cost
of 300-400 calories per day,
which gives you about
12 watts an hour.
As a computing machine,
the brain has an operational
memory in the range
of more than 2.5 petabytes
and operates at a
petaFLOP range.
Now, just for comparison,
one of the world's fastest
supercomputers, in Guangzhou,
has a maximum processing
speed of 33 petaFLOPS,
a memory of 1.3 petabytes
and does it all at
the support of 17.6
megawatts of power.
Now, on top of this,
this particular computer
occupies a huge space,
its surface area is 720 m^2.
In a sense, our brain is very
much stronger and more powerful
than any supercomputer
in the world.
It will probably remain so
for a long time to come.
Now, of course, the
brain is really complex,
and here I do very much
love this quotation
from Desiderius
Erasmus, who said that,
"All things in life
are so multifaceted,
contradictory and obscure
that we can never be
sure about the truth."
That very much
applies to the brain,
because our knowledge
is in a constant flux.
What we know today
probably contradicts
with what we knew yesterday,
and it will be
contradicted again
by what we will know tomorrow.