Cellular biophysics презентация

Содержание

Слайд 2

What is Biophysics? It is neither “physics for biologists”, nor

What is Biophysics?
It is neither “physics for biologists”, nor “physical methods

applied to biology”
It is a modern, interdisciplinary field of science leading to new approaches for our understanding of biological functions.
Paradigm: “Biological system is not simply the sum of its molecular components but is rather their functional integration” –example biological membrane.

Mathematics +Physics +Biology + Chemistry

Слайд 3

Intersection (not union) of Biology, Physics and: Computer-Science & Math

Intersection (not union) of Biology, Physics and:

Computer-Science
& Math

Genomics
& Systems

Biology,

Ecology, Society, & Evolution

Chemistry &
Technology

Слайд 4

The purpose of the course: A concise review of MAJOR

The purpose of the course:
A concise review of MAJOR CONCEPTS OF

SELECTED TOPICS in BIOPHYSICS, describing cellular function with the focus on unifying principles and mechanisms, with links to the physico-chemical properties of the components; a consideration of the energetic and kinetic aspects of the processes; and the strategies and KEY TECHNIQUES used in performing the studies.
Two exams: mid-term exam (20% of the total points)
And the final (30% of the grade)
Attendance -15%;
Work in the Class/mini-qizzes/ project-35%
Слайд 5

Biological Membrane Highly organized anisotropic structure Relationship STRUCTURE-FUNCTION are central to biophysics

Biological Membrane

Highly organized anisotropic structure
Relationship STRUCTURE-FUNCTION are central to biophysics

Слайд 6

William Thomson (Lord Kelvin) ”I often say that when you

William Thomson (Lord Kelvin)

 ”I often say that when you can measure

what you are speaking about, and express it in numbers, you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge is of a meagre and unsatisfactory kind; it may be the beginning of knowledge, but you have scarcely, in your thoughts, advanced to the stage of science, whatever the matter may be”.
1883, “Electrical units of measurements”
Слайд 7

Charles Darwin “I have deeply regretted that I did not

Charles Darwin

“I have deeply regretted that I did not proceed far

enough at least to understand something of the great leading principles of mathematics, for men thus endowed seem to have an extra sense.”
Autobiography, 1997
Слайд 8

Why we should care about the numbers in biology? The

Why we should care about the numbers in biology?

The importance of

biological numeracy centers on the way in which a quantitative formulation of a given biological phenomenon allows us to build models in order to understand HOW it works.
Слайд 9

Examples of problems to solve: How brain processes and stores

Examples of problems to solve:
How brain processes and stores information?
How the

heart pumps blood?
How muscles contract?
How plants use light for grow in photosynthesis?
How genes are switched on and off?
Слайд 10

What is the goal of biophysics? (1) create simplified models

What is the goal of biophysics?

(1) create simplified models
(2) make quantitative

predictions
(3) Experimentally test quantitative predictions
Слайд 11

. Most of what we know in Physics has been

.
Most of what we know in Physics has been derived from

experience with the inanimate world. It is a challenge to transfer these concepts to living objects such as cells, tissues, and entire organisms, where it is not certain if they are appropriate or even relevant. 
Слайд 12

Why Model? To understand biological/chemical data. (& design useful modifications)

Why Model?

To understand biological/chemical data.
(& design useful modifications)
To share

data we need to be able to
search, merge, & check data via models.
Integrating diverse data types can reduce random & systematic errors.
Слайд 13

Слайд 14

What are biophysicts study? (Heidelberg) Collective cell migration (Spatz)- is

What are biophysicts study? (Heidelberg)

Collective cell migration (Spatz)- is the process

of several cells migrating as a cohesive group, in which each individual actively coordinates its own movement with that of its neighbors
Engineering of synthetic cells (Platzman)-The major aim of our interdisciplinary research is the bottom-up assembly of synthetic cells which can adhere, migrate and divide.
Biophysics of cell interactions (Boehm)-Many mammalian cells are enveloped by a sugar-protein coat. This coat mainly consists of hyaluronan (HA) and plays a major role in all interactions of the cell with its environment. Thus our main research interest is the analysis of cellular interactions in response to HA.
Spectroscopy technologies (Zamir and Majer)-Reconceptualizing fluorescence correlation spectroscopy for monitoring and analyzing of periodically passing objects.
Super-resolution microscopy technology- (S.Hell)-Current efforts of this interdisciplinary group of physicists, chemists and biologists aim to improve resolution, contrast, speed and versatility of optical nanoscopy.
Слайд 15

The primary objective of the program is to educate and

The primary objective of the program is to educate and train

individuals with this background to apply the concepts and methods of the quantitative sciences to the solution of biological problems.
Слайд 16

Divisions of Biophysics: Molecular biophysics Biomechanics Membrane Biophysics Bio-electrochemistry Environmental

Divisions of Biophysics:
Molecular biophysics
Biomechanics
Membrane Biophysics
Bio-electrochemistry
Environmental Biophysics
Theoretical Biophysics
Biophysical Techniques (general, imaging,

medical)

Impact on biotechnology and medicine

Слайд 17

HOW: Biophysical techniques and applications

HOW: Biophysical techniques and applications

Слайд 18

Engine of discovery:Biophysical techniques and applications

Engine of discovery:Biophysical techniques and applications

Слайд 19

Biophysical techniques and applications

Biophysical techniques and applications

Слайд 20

History: First “Biophysicists” Heraclitus 5th century B.C. – earliest mechanistic

History: First “Biophysicists”
Heraclitus 5th century B.C. – earliest mechanistic theories of

life processes, insight into dynamic.
“Change is central to Universe”.
“Logos is the fundamental order of all “on Nature” changes of objects with the flow of time”

“You can not step twice into the same river”

Слайд 21

Epicurus 3rd century B.C. – atom. Living organisms follow the

Epicurus 3rd century B.C. – atom. Living organisms follow the same

laws as non-living objects.
Galen 2th century AD – physician, most accomplished medical researcher of the Roman period. His theories dominated Western medicine for over millennium.
Better anatomy only by Vesalius in 1543
Better understanding of blood and heart in 1628
Leonardo da Vinci 16th century – mechanical principles of bird flight (to use for engineering design) - BIONICS

First “Biophysicists”

Слайд 22

Giovanni Alfonso Borelli 17th century- related animals to machines and

Giovanni Alfonso Borelli 17th century- related animals to machines and utilized

mathematics to prove his theories.
De Motu Animalium – comprehensive biomechanical description of limb’s mobility, bird’s flight, swimming movement, heart function.

Borelli farther of biomechanics

Слайд 23

Luigi Galvani / Alessandro Volta Bio-electrochemistry 18th (1771) Galvani touched

Luigi Galvani / Alessandro Volta
Bio-electrochemistry
18th (1771) Galvani touched frog nerve

with charged scalpel.

Signal transduction in neurons and communication between neurons and muscle has electrical nature.

Слайд 24

Electric circuit = two different metals + sciatic nerve of

Electric circuit = two different metals + sciatic nerve of the

frog
Nerve of the frog's leg = electrolyte and sensor
Metals = electrodes
If close the circuit dead leg will twitch.
Volta created first battery by substituting frog leg with electrolyte.

From frog leg to first battery.

Luigi Galvani / Alessandro Volta

With two different metals
effect is stronger.

Contact potential !!

Слайд 25

OFFICIAL BIRTH OF BIOPHYSICS

OFFICIAL BIRTH OF BIOPHYSICS

Слайд 26

Optical aspects of the human eye Theory of hearing Brown’s

Optical aspects of the human eye
Theory of hearing
Brown’s motion
Osmotic process
Nonequilibrium thermodynamics
Discovery

of X-rays – emergence of radiation biophysics
Discovery of DNA structure
Information theory
Statistical physics of biopolymers

History of discoveries in Biophysics:

Слайд 27

The major advance in understanding the nature of gene mutation

The major advance in understanding the nature of gene mutation and

gene structure. The work was a keystone in the formation of molecular genetics.

Transmission of order from one organism to it’s descendants

Слайд 28

. Quantitative definition of life? Probability of replication … simple

.

Quantitative definition of life?
Probability of replication … simple in, complex

out
(in a specific environment)
Robustness/Evolvability
(in a variety of environments)
Challenging cases:
Physics: nucleate-crystals, mold-replica, geological layers, fires
Biology: pollinated flowers, viruses, predators, sterile mules,
Engineering: self-assembling machines.
Structure, function, replication, growth, origin, evolution…
Слайд 29

Schroedinger cat

Schroedinger cat

Слайд 30

Слайд 31

In order to function: All groups of living organisms on

In order to function:

All groups of living organisms on Earth share

several key characteristics:
Order; Sensitivity or response to stimuli; Reproduction; Growth and Development; Homeostasis; Energy processing
All living things detect changes in their environment and respond to them. All living things are capable of reproduction, the process by which living things give rise to offspring. All living things are able to maintain a constant internal environment through homeostasis. All forms of life are built of CELLS.

.

Слайд 32

Are viruses alive?? (computer & biological viral codes) Computer viruses

Are viruses alive??
(computer & biological viral codes)

Computer viruses & hacks :
over

$3 trillion/year (Most costly
virus MyDoom-$38 billions in damages

AIDS - HIV-1
36.9 mln dead (worse than black plague & 1918 Flu)
Polymerase drug resistance mutations
M41L, D67N, T69D, L210W, T215Y, H208Y
PISPIETVPVKLKPGMDGPK VKQWPLTEEK
IKALIEICAE LEKDGKISKI
GPVNPYDTPV FAIKKKNSDK
WRKLVDFREL NKRTQDFCEV

Слайд 33

Concept Computers Organisms Instructions Program Genome Bits 0,1 a,c,g,t Stable

Concept Computers Organisms
Instructions Program Genome
Bits 0,1 a,c,g,t
Stable memory Disk,tape DNA
Active memory

RAM RNA
Environment Sockets,people Water,salts
I/O AD/DA proteins
Monomer Minerals Nucleotide
Polymer chip DNA,RNA,protein
Replication Factories 1e-15 liter cell sap
Sensor/In Keys,scanner Chem/photo receptor
Actuator/Out Printer,motor Actomyosin
Communicate Internet,IR Pheromones, song

Conceptual connections

Слайд 34

Self-compiling & self-assembling Complementary surfaces Watson-Crick base pair (Nature April 25, 1953) MC. Escher

Self-compiling & self-assembling

Complementary surfaces
Watson-Crick base pair
(Nature April 25, 1953)

MC. Escher

Слайд 35

. Minimal Life: Self-assembly, Catalysis, Replication, Mutation, Selection Cell boundary

.

Minimal Life: Self-assembly, Catalysis, Replication, Mutation, Selection

Cell boundary

Слайд 36

/ Replicator diversity DNA Protein Growth rate Polymers: Initiate, Elongate,

/

Replicator diversity

DNA

Protein

Growth rate

Polymers: Initiate, Elongate, Terminate, Fold, Modify, Localize, Degrade

Self-assembly,

Catalysis, Replication, Mutation, Selection Polymerization & folding (Revised Central Dogma)
Слайд 37

. Maximal Life: DNA Protein Growth rate Expression Interactions Polymers:

.

Maximal Life:

DNA

Protein

Growth rate

Expression

Interactions

Polymers: Initiate, Elongate, Terminate, Fold, Modify, Localize, Degrade

Self-assembly,

Catalysis, Replication, Mutation, Selection Regulatory & Metabolic Networks
Слайд 38

Types of Systems Interaction Models Quantum Electrodynamics subatomic Quantum mechanics

Types of Systems Interaction Models

Quantum Electrodynamics subatomic
Quantum mechanics electron clouds
Molecular mechanics spherical atoms nm-fs
Master

equations stochastic single molecules
Fokker-Planck approx. stochastic

Macroscopic rates ODE Concentration & time (C,t)
Flux Balance Optima dCik/dt optimal steady state
Thermodynamic models dCik/dt = 0 k reversible reactions
Steady State ΣdCik/dt = 0 (sum k reactions)
Metabolic Control Analysis d(dCik/dt)/dCj (i = chem.species) Spatially inhomogenous dCi/dx
Population dynamics as above km-yr

Increasing scope, decreasing resolution

Слайд 39

. Integrate : Optimal BioSystems Elements of Life-Molecules & Purification

.

Integrate : Optimal BioSystems

Elements of Life-Molecules & Purification
Systems Biology & Applications

of Models
Life Components & Interconnections
Continuity of Life & Central Dogma
Qualitative Models & Evidence
Synthetic Life
Слайд 40

From atoms to (bio)molecules H2O H2 , O2 H+ ,

From atoms to (bio)molecules

H2O H2 , O2 H+ , OH-
CH4 C60 CO3-
NH3 N2 NO3-
H2S Sn

SO4-- Mg++
PH3 K+PO4-- Na+
Gas Elemental Salt
Слайд 41

STEP 1: Purify Elements, molecules, assemblies, organelles, cells, organisms chromatography Clonal growth

STEP 1: Purify

Elements, molecules, assemblies, organelles,
cells,
organisms

chromatography

Clonal growth

Слайд 42

. Pre 1970s: Column/gel purification revolution Mid-1970s: Recombinant DNA brings

.

Pre 1970s: Column/gel purification revolution
Mid-1970s: Recombinant DNA brings
clonal (single-step) purity.


1984-Now: Sequencing genomes & automation
aids return to whole systems.
Whole genome sequencing.

Purified history

Слайд 43

. Integrate : Optimal BioSystems Elements of Life-Molecules & Purification

.

Integrate : Optimal BioSystems

Elements of Life-Molecules & Purification
---Systems Biology & Applications

of Models
Life Components & Interconnections
Continuity of Life & Central Dogma
Qualitative Models & Evidence
Synthetic Life
Слайд 44

. Why Genomes & Systems? #0. Why sequence the genome(s)?

.

Why Genomes & Systems?

#0. Why sequence the genome(s)? To allow #1,2,3

below.
#1. Why map variation?
#2. Why obtain a complete set of human RNAs, proteins
& regulatory elements?
#3. Why understand comparative genomics and how genomes evolved? To allow #4 below.
#4. Why quantitative biosystem models of molecular interactions with multiple levels (atoms to cells to organisms & populations)?
To share information. CONSTRUCTION is a test of understanding & to make useful products.
Слайд 45

. Number of component types (estimate) M.gen Worm Human Bases

.

Number of component types (estimate)

M.gen Worm Human Bases .58M >97M 3000M
DNAs 1 7 25
Genes .48k 19k 21k
RNAs .4k >30k .2-3M
Proteins .6k >50k .3-10M
Cells 1 959 1014

Слайд 46

. Glycine Gly G The simplest amino acid component of

.

Glycine
Gly
G

The simplest amino acid component of proteins

config(glycine,[
substituent(aminoacid_L_backbone),
substituent(hyd),
linkage(from(aminoacid_L_backbone,car(1)),
to(hyd,hyd(1)),

nil,single)]).
Слайд 47

. 20 Amino acids of 280 T

.

20 Amino acids of 280

T

Слайд 48

. Some Grand (& useful) Challenges A) From atoms to

.

Some Grand (& useful) Challenges

 A) From atoms to evolving minigenome-cells.
Improve

in vitro macromolecular synthesis.
Conceptually link atomic (mutational) changes to population evolution
(via molecular & systems modeling).
Novel polymers for smart-materials, mirror-enzymes & drug selection.
B) From cells to tissues.
Model combinations of external signals & genome-programming on expression.
Manipulate stem-cell fate & stability.
Engineer reduction of mutation & cancerous proliferation.
Programmed cells to replace or augment (low toxicity) drugs.
C) From tissues to physiological & eco- systems
Programming of cell and tissue morphology.
Quantitate robustness & evolvability.
Engineer sensor-effector feedback networks where macro-morphologies
determine the functions; past (Darwinian) or future (prosthetic).
Слайд 49

. Continuity of Life & Central Dogma DNA Protein Growth

.

Continuity of Life & Central Dogma

DNA

Protein

Growth rate

Expression

Interactions

Polymers: Initiate, Elongate, Terminate, Fold,

Modify, Localize, Degrade

Self-assembly, Catalysis, Replication, Mutation, Selection Regulatory & Metabolic Networks

Слайд 50

. "The" Genetic Code M Adjacent mRNA codons F 3’

.

"The" Genetic Code

M

Adjacent mRNA codons

F

3’ uac
5'... aug

3’aag

uuu ...

‘Silent’ codon changes

Слайд 51

. Translation t-,m-,r-RNA Ban N, et al. 1999 Nature. 400:841-7.

.

Translation t-,m-,r-RNA

Ban N, et al. 1999 Nature. 400:841-7.

Large macromolecular complexes:
Ribosome: 3

RNAs (over 3 kbp plus
over 50 different proteins)
Science (2000) 289: 878, 905, Science (2000) 289: 878, 905, 920, 3D coordinates.
Слайд 52

. How many living species? 5000 bacterial species per gram

.

How many living species?

5000 bacterial species per gram of soil

(<70% DNA bp identity)
Currently: 8,7 million species on Earth (eukaryotic); bacterial and
archea (from 100,000 to 10 millions)
During last 250 years, 1.2 million eukaryotic species have been
identified and taxonomically classified
1st sequenced – Haemophylus influenzae, 1995
Whole genomes: 17,420 bacteria; 362 Archea; 98 insects; 150 plants;
235 terrestrial vertebrates (80 mammalians)
(Data from 2014, “Scientist”)

& Why study more than one species?
Comparisons allow discrimination of
subtle functional constraints.

Слайд 53

. Continuity & Diversity of life

.

Continuity & Diversity of life

Слайд 54

2nd law of thermodynamic - in isolated system molecular disorder

2nd law of thermodynamic - in isolated system molecular disorder never

decreases spontaneously.
Question: why Earth is full of life which is highly organized?
Vitalism?

How life generates order?

Question biophysicists ask:

Имя файла: Cellular-biophysics.pptx
Количество просмотров: 30
Количество скачиваний: 0