systematically ranking the tightness of membrane ...cncp.ict.ac.cn/2014/res/ppt/report/ying-chun...
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Systematically Ranking the Tightness of Membrane Association for Peripheral Membrane Proteins
Yingchun Wang
State Key laboratory of Molecular Developmental BiologyInstitute of Genetics and Developmental Biology, CAS
Membrane Proteins
Model: Synechocystis
Widely used model for photosynthesis and respiration. Many proteins are related with photosynthesis or respiration.
3.96 Mb, 3672 protein coding genes.
Easy to uptake foreign genes and integrate into its own genome through homologous recombination, easy to make mutations.
Can grow photoautotrophically or heterotrophically using glucose as the sole carbon source.
Generation of renewable energy and waster water treatment.
Contains a large fraction of thylakoid membrane.
Arch Microbiol (2006) 184: 259–270
Overview of Synechocystis Membrane Proteomics
N-terminal sequencing (Electrophoresis, 1997; 1999).
MALDI-TOF (integral and thylakoid fraction) (Electrophoresis, 2000; Proteomic science, 2009).
MALDI-TOF (Outer, plasma, and thylakoid membrane) (Mol. Cell. Proteomics, 2002; 2004).
2-DE
Proteomics, 2005; 2007;
J Proteome Res, 2006; 2007;
J Chromatography A, 2010;
LC-MS
M
S
WCL1185
69
95
202
228
Identification of membrane and soluble proteins
MCP, 2014, 13:204-19
How to decide a non-TM containing protein identified from isolated membranes is a peripheral membrane protein or just some carry-over contamination from soluble the fraction.
Are membranes the primary functional places for such a non-TM containing protein.
Questions
Rational and Experimental Design
Identification of Synechocystis Proteome
B
No
of
pro
tein
s
A
216 3481783
(157,115) (20,0)(291, 133)
Membrane soluble
No. of TM
0
100
200
300
400
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18
Total
Identified
Separation Efficiency of Membranes
Proteins Encoded by Chromosome- or Plasmid-Borne Genes
Summary
2347 proteins were identified with 2-peptide match (64% of the proteome).
Coverages of identification for TM-containing proteins and the total proteins are both the highest.
Separation of membranes from the soluble fractions in highly efficient.
Proteins encoded by chromosome-borne genes are move likely to be identified than those encoded by plasmid-borne gene.
Tightness of Membrane Association
A
0
1
2
3
-1
-2
-3
Lo
g2(
Inte
nsi
ty r
atio
(M
/S))
1 2
3 4
0 1 2 3 4-1-2-3-4-5 5 6
Log2(Spectra count ratio (M/S))
216 3481783
(157,115) (20,0)(291, 133)
Membrane soluble
Known periplasmic proteins or
proteins with predicted signal
peptide
Proteins with 1 predicted TM
(by Sosui) at N-terminus
Proteins without predicted
signal peptide or TMs
predicted by LipoP and Sosui,
respectively
0
-1
-2
-3
-4
-5
-6
-7
-8
-0.5-1.0-1.5-2.0-2.5-3.0-3.5-4.0
Log2(Spectra count ratio (M/S))
Lo
g2(
Inte
nsi
ty r
atio
(M
/S))
Proteins with 1 predicted TM
Tightness of Membrane Association: PSI Subunits
Eric Boudreau, et al, The EMBO Journal, 1997
ycf4psaC
psaA
psaE
psaF
psaB
ycf3
psaL
B
0
1
2
3
-1
-2
-3
Lo
g2(
Inte
nsi
ty r
atio
(M
/S))
0 1 2 3 4-1-2-3-4-5 5 6
Log2(Spectra count ratio (M/S))
psaD
psbEC
psbD2 psbC
psbB
psbA2
ycf48
psbU
psbP2
psbB28-2
psbB28
psbB27
psbV
psbO
0
1
2
3
-1
-2
-3
Lo
g2(
Inte
nsi
ty r
atio
(M
/S))
0 1 2 3 4-1-2-3-4-5 5 6
Log2(Spectra count ratio (M/S))
Tightness of Membrane Association: PSII Subunits
atpE (ε)
atpF (b)
atpG (b’)
atpB (β)
atpA (α)
atpD (δ)
atpC (γ)
D
0 1 2 3 4-1-2-3-4-5 5 6
Log2(Spectra count ratio (M/S))
0
1
2
3
-1
-2
-3
Lo
g2(
Inte
nsi
ty r
atio
(M
/S))
ATP synthases
cpcG2
cpcE
apcE
apcF
cpcF
cpcD
apcB
cpcC1
cpcC2
apcCcpcB
apcD
cpcG1
E
apcA
cpcA
0
1
2
3
-1
-2
-3
Lo
g2(
Inte
nsi
ty r
atio
(M
/S))
0 1 2 3 4-1-2-3-4-5 5 6
Log2(Spectra count ratio (M/S))
Phycobilisomal Proteins
A working model for the PBS-dependent state transition.
Kondo , Photosynth Res, 2009
Ribosomal Proteins
F
rpl10
0
1
2
3
-1
-2
-3
Lo
g2(
Inte
nsi
ty r
atio
(M
/S))
0 1 2 3 4-1-2-3-4-5 5 6
Log2(Spectra count ratio (M/S))
Signaling Proteins
G
cheW
slr0302
0
1
2
3
-1
-2
-3
Lo
g2(
Inte
nsi
ty r
atio
(M
/S))
0 1 2 3 4-1-2-3-4-5 5 6
Log2(Spectra count ratio (M/S))
2-component signal transduction systems
ABC Transporters
H
0
1
2
3
-1
-2
-3
Lo
g2(
Inte
nsi
ty r
atio
(M
/S))
0 1 2 3 4-1-2-3-4-5 5 6
Log2(Spectra count ratio (M/S))
Lipoproteins
I
0
1
2
3
-1
-2
-3
Lo
g2(
Inte
nsi
ty r
atio
(M
/S))
0 1 2 3 4-1-2-3-4-5 5 6
Log2(Spectra count ratio (M/S))
Validation of The Tightness Measurement
Enriched Functions of PMPs With Strong orWeak Membrane Association
0
1
2
3
-1
-2
-3
0 1 2 3 4-1-2-3-4-5 5 6
Log2(Spectra count ratio (M/S))
Lo
g2(
Inte
nsi
ty r
atio
(M
/S))
Tight membrane association: M/S ratios > 0 (Red)Less tight membrane association: M/S ratios < 0 (Blue)
Enriched Functions of PMPs With Strong orWeak Membrane Association
Tightly membrane-associated proteins
Less tightly membrane-associated proteins
Smad-FHA
(IPR008984)
0 1 2 3 4 5 6-1-2-3-4
log2(Spectra count ratio (M/S))
Radical SAM
(IPR007197)
0 1 2 3 4 5 6-1-2-3-4
Log2(Spectra count ratio (M/S))
Methyltransferase
FkbM (IPR006342)
0 1 2 3 4 5 6-1-2-3-4
log2(Spectra count ratio (M/S))
01
2-1
-20
12
-1-2
Lo
g2(
Inte
nsi
ty r
atio
(M
/S))
Lo
g2(
Inte
nsi
ty r
atio
(M
/S))
Rossmann-like
α/β/α sandwich fold
(IPR014729)Elongator protein 3/MiaB/NifB
(IPR006638) GAF (IPR003018)
A B C
D E F
Proteins Sharing the Same Domain Associate the Membranes with Similar Tightness
Conclusions
This tightness of membrane association for PMPs can be measured using asemiquantitative proteomics approach.
Different tightness of membrane association may be required for performingdifferent functions.
Proteins sharing the same domain tend to associate the membranes withsimilar tightness.
The method can be extended to all prokaryotic and eukaryotic organisms
This work provides a global view of the structural organization of themembrane proteome with respect to divergent functions, and built thefoundation for future investigation of the dynamic membrane proteomereorganization in response to different environmental or internal stimuli.
Acknowledgements
Institute of Botany, CASDr. Fang Huang
Institute of Hydrobiology, CASDr. Jindong Zhao
Dr. Xudong Xu
Wang Lab at IGDBHaitao GeDr. Kehui LiuXiahe HuangChunting ShenYajun XieYuanya ZhangChen BuXiaofei LiuYujian WuJinglong WangYu KangLongfa Fang
University of Louisiana, LafayetteDr. Wu Xu