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Title: Course Evaluation Form


1
Course Evaluation Form
  • About The Course
  • -Go more slowly ()
  • More lectures ()
  • Problem Sets, Class Projects () -Software
    tools
  • About The Instructor
  • -Accessible out of class (Office Hours, Thursdays
    2pm-5pm)
  • Course Discussion

2
Networks in Biology
3
Todays Lecture - The Cell as a Complex
System -Types of Molecular Networks -Some Results
on the Structure of Molecular Networks(Hierarchic
al Structure, Date and Party Hubs)- Disease
Networks - Impacts of Social Networks in Biology
4
http//multimedia.mcb.harvard.edu/media.html
Inner Life of the Cell
5
Bio-Map
6
METABOLISM
Bio-chemical reactions
Citrate Cycle
7
Boehring-Mennheim
8
Metab-movie
Nodes chemicals (substrates) Links bio-chemical
reactions
Metabolic Network
9
Meta-P(k)
Metabolic network
Archaea
Bacteria
Eukaryotes
Organisms from all three domains of life are
scale-free networks!
H. Jeong, B. Tombor, R. Albert, Z.N. Oltvai, and
A.L. Barabasi, Nature, 407 651 (2000)
10
Modular vs. Scale-free Topology
11
Global network properties
A.-L. B. and Z.N. Oltvai, Nat. Rev. Gen.(2004)
12
Hierarchical Networks
13
Scaling of the clustering coefficient C(k)
The metabolism forms a hierachical network.
Ravasz, Somera, Mongru, Oltvai, A-L. B, Science
297, 1551 (2002).
14
Characterizing the links
Metabolism Flux Balance Analysis
(Palsson) Metabolic flux for each reaction
Edwards, J. S. Palsson, B. O, PNAS 97, 5528
(2000). Edwards, J. S., Ibarra, R. U. Palsson,
B. O. Nat Biotechnol 19, 125 (2001). Ibarra, R.
U., Edwards, J. S. Palsson, B. O. Nature 420,
186 (2002).
15
Global flux organization in the E. coli metabolic
network
E. Almaas, B. Kovács, T. Vicsek, Z. N. Oltvai,
A.-L. B. Nature, 2004.
16
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17
Bio-Map
18
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19
Prot P(k)
Topology of the protein network
Nodes proteins Links
physical interactions (binding)
H. Jeong, S.P. Mason, A.-L. Barabasi, Z.N.
Oltvai, Nature 411, 41-42 (2001)
20
Origin of the scale-free topology Gene
Duplication
Proteins with more interactions are more likely
to get a new link ?(k)k (preferential
attachment).
Wagner (2001) Vazquez et al. 2003 Sole et al.
2001 Rzhetsky Gomez (2001) Qian et al.
(2001) Bhan et al. (2002).
21
Prot- robustness
Yeast protein network - lethality and topological
position -
Highly connected proteins are more essential
(lethal)...
H. Jeong, S.P. Mason, A.-L. Barabasi, Z.N.
Oltvai, Nature 411, 41-42 (2001)
22
Protein Network Dynamics
23
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24
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25
Disease NetworksGenotypic Association Between
Diseases
26
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27
Disease Network
Goh et al. PNAS 2007
28
Mental Diseases
29
P53 P(k)
p53 network (mammals)
30
Lethal Genes
Disease Genes
Goh et al. PNAS 2007
31
Schematic functional organization
Functional Periphery
  • Tissue-specific expression
  • Low degree
  • Low coexpression
  • Low lethality

Functional Core
  • Expressed in most tissues (housekeeping)
  • High degree
  • High coexpression
  • Lethal

Lack of disease genes
Enrichment of disease genes
32
Phenotypic Association Between Diseases
33
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34
Disease 1
Disease 2
Affect Same Individuals Significantly more than
Random
35
Study Population
13039018 patients 32341348 records
(hospitalizations)
ICD-9 code Disease Name Prevalence
401.9 Unspecified essential hypertension 4163381
414.0 Coronary Atherosclerosis 2679957
428 Congestive Heart Failure 2343516
496 Chronic Airway Obstruction 1878976
427.31 Atrial Fibrillation 1806969
276.5 Volume Depletion Disorder 1533833
276.8 Hypokalemia 1448586
250 Diabetes Mellitus w/o mention of complication 1303342
486 Pneumonia, organism unspecified 1212287
411.1 Intermediate Coronary Syndrome 1137913
36
Building a Net
N
P1
P2
37
Word of Caution
Underestimates overlap of Common Phenotypes
1
N
Overestimate overlap of Rare Phenotypes
38
1 Harley JB. Nature Genetics 39(9) 1053 (2007) 2
Scott LJ et al, Science 316 1341 (2007)
39
Building a Net
N
P1
P2
40
Word of Caution
41
Positive Associations
Diseases appear are more likely to be correlated
than anti-correlated
42
Visualizing the Network
43
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46
http//hudine.neu.edu
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