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Proteomics hat is it? ow is it done? re there different kinds? hy would you want to do it (what can it tell you)?

Proteomics

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Proteomics. What is it? How is it done? Are there different kinds? Why would you want to do it (what can it tell you)?. The Central Dogma of Molecular Biology. DNA. transcription. RNA. translation. Protein. Key Concept: Proteins do the work everything else is mostly information. - PowerPoint PPT Presentation

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Page 1: Proteomics

Proteomics

What is it?

How is it done?

Are there different kinds?

Why would you want to do it (what can it tell you)?

Page 2: Proteomics

DNA

RNA

Protein

The Central Dogma ofMolecular Biology

transcription

translation

Key Concept: Proteins do the work everything else is mostly information

Key Concept: Proteomics is the “high throughput” analysis of proteins.

Page 3: Proteomics

DNA Genomics

RNA Genomics/Transcriptomics

Protein Proteomics

Metabolites Metabolomics

The Central Dogma-omics

Page 4: Proteomics

DNA Genomics ~6-45,000 parts

RNA Genomics/Transcriptomics~100,000 parts

Protein Proteomics~1,000,000 parts

Metabolites Metabolomics>500,000,000 parts

The Central Dogma-omics

Key Concept: Complexity increases the farther away from information you getKey Concept: Chemical complexity also increases the farther away you get

Page 5: Proteomics

Protein Machines

Key Concept: Biochemical functions are carried out by multi-protein machines

The polyAdenylation Machinery

The Proteosome

Key Concept: A Protein Function can be inferred by it’s binding partners

Key Concept: Knowledge of a Machine’s components is required to understand how it works and how it is regulated

Page 6: Proteomics

Protein Networks 2 Steps

Key Concept: Protein Machines are organized into larger Networks

Page 7: Proteomics

Proteins are Organized in Super Networks

Key Concept: The proteome is HIGHLY Networked

Page 8: Proteomics

Key Concept: Proteins vary widely in concentration

Page 9: Proteomics

Major Types of ProteomicsInteractomics:

Mapping Protein:Protein Interactions-Yeast 2-hybrid techniques-high throughput protein identification by Mass Spectrometry

Survey Proteomics:Qualitative or Quantitative Analysis of the

protein component-whole organism, tissue, cell type, or subcellular compartment

-2D gel electrophoresis ->MS-typically a few 100

proteins-Multidimensional LC->MS/MS

-typically a few 1000 proteinsIdentification of Biomarkers

Page 10: Proteomics

Information Trade Offs

Vida infra G. MacBeath

Page 11: Proteomics

Proteins are Organized in Super Networks

Key Concept: The proteome is HIGHLY Networked

Page 12: Proteomics

Time of Flight Mass Spectrometer

Key Concept: All Mass Spectrometers have at least 2 parts: an ion source and a mass analyzer

Detectors

Flight tube

Timed ion selectorLaser

Sampleplate

Reflector

Acceleratingfield

++

+

+

+

+ +

Key Concept: Mass Spectrometers can only measure charged species.

Page 13: Proteomics

A Quadrupole Mass Filter

Page 14: Proteomics

Ion Trap Mass Spectrometer

Key Concept: Mass Spectrometers can only measure ions and moreaccurately, the behavior of ions in an electric field

Page 15: Proteomics

A Generic Mass Spectrum

Key Concept: A mass spectrum is a graphical representation of the the data, with intensity on the y axis and m/z on the x axis

799.0 1441.8 2084.6 2727.4 3370.2 4013.0

Mass (m/z)

3348.0

0

10

20

30

40

50

60

70

80

90

100

% I

nte

ns

ity

4700 Reflector Spec #1 MC[BP = 863.4, 3348]

86

3.4

27

9

10

59

.53

33

17

37

.88

09

12

96

.67

97

96

3.5

27

1

12

10

.68

91

10

21

.55

20

14

25

.62

23

19

01

.88

27

13

53

.60

17

22

42

.16

63

99

5.5

37

5

88

1.2

42

8

10

79

.56

32

12

22

.62

18

17

20

.84

09

15

70

.67

59

112

5.4

92

3

117

4.5

80

4

20

30

.02

36

14

95

.68

21

24

65

.19

26

19

22

.87

02

18

44

.82

45

22

11.0

52

2

25

39

.43

24

1737.49425 1738.56954 1739.64483 1740.72011 1741.79540 1742.87069

Mass (m/z)

1941.2

0

10

20

30

40

50

60

70

80

90

100

% I

nte

ns

ity

4700 Reflector Spec #1 MC[BP = 863.4, 3348]

1738.8808

1739.8810

1740.8808

17

37

.88

09

Page 16: Proteomics

Important Properties of a Mass SpectrumMass is expressed as m/z (mass/charge).

m=1000 z=1 m/z =1001m=1000 z=2 m/z =501m=1000 z=3 m/z =334.3

Intensity is usually normalized to 100Intensity can be expressed as ion current or ion counts

The intensity is related to abundance, but only when you are referring to the same compound.

Mass accuracy is an important parameter that affects downstream analysis. Mass accuracy is usually expressed as ppm. EM=1000.1 TM=1000 ppm= (0.1/1000) x 106

100 ppm

Page 17: Proteomics

How to Identify Proteins

Key Concept: Each unique protein will give rise to a unique set of peptides

Proteolysis

Proteolysis

Proteolysis

Page 18: Proteomics

Peptide Mass Fingerprinting

Key Concept: A single protein yields many proteolitic fragments

799.0 1441.8 2084.6 2727.4 3370.2 4013.0

Mass (m/z)

3348.0

0

10

20

30

40

50

60

70

80

90

100

% I

nte

ns

ity

4700 Reflector Spec #1 MC[BP = 863.4, 3348]

86

3.4

27

9

10

59

.53

33

17

37

.88

09

12

96

.67

97

96

3.5

27

1

12

10

.68

91

10

21

.55

20

14

25

.62

23

19

01

.88

27

13

53

.60

17

22

42

.16

63

99

5.5

37

5

88

1.2

42

8

10

79

.56

32

12

22

.62

18

17

20

.84

09

15

70

.67

59

112

5.4

92

3

117

4.5

80

4

20

30

.02

36

14

95

.68

21

24

65

.19

26

19

22

.87

02

18

44

.82

45

22

11.0

52

2

25

39

.43

24

Proteolysis

Page 19: Proteomics

799.0 1441.8 2084.6 2727.4 3370.2 4013.0

Mass (m/z)

3348.0

0

10

20

30

40

50

60

70

80

90

100

% I

nte

ns

ity

4700 Reflector Spec #1 MC[BP = 863.4, 3348]

86

3.4

27

9

10

59

.53

33

17

37

.88

09

12

96

.67

97

96

3.5

27

1

12

10

.68

91

10

21

.55

20

14

25

.62

23

19

01

.88

27

13

53

.60

17

22

42

.16

63

99

5.5

37

5

88

1.2

42

8

10

79

.56

32

12

22

.62

18

17

20

.84

09

15

70

.67

59

112

5.4

92

3

117

4.5

80

4

20

30

.02

36

14

95

.68

21

24

65

.19

26

19

22

.87

02

18

44

.82

45

22

11.0

52

2

25

39

.43

24

Proteolysis

Peptide Mass Fingerprinting

Key Concept: A mass spectrometer is a very accurate scale!

1737.49425 1738.56954 1739.64483 1740.72011 1741.79540 1742.87069

Mass (m/z)

1941.2

0

10

20

30

40

50

60

70

80

90

100

% I

nte

ns

ity

4700 Reflector Spec #1 MC[BP = 863.4, 3348]

1738.8808

1739.8810

1740.8808

17

37

.88

09

Page 20: Proteomics

799.0 1441.8 2084.6 2727.4 3370.2 4013.0

Mass (m/z)

3348.0

0

10

20

30

40

50

60

70

80

90

100

% In

te

ns

ity

4700 Reflector Spec #1 MC[BP = 863.4, 3348]

86

3.4

27

9

10

59

.5

33

3

17

37

.8

80

9

12

96

.6

79

7

96

3.5

27

1

12

10

.6

89

1

10

21

.5

52

0

14

25

.6

22

3

19

01

.8

82

7

13

53

.6

01

7

22

42

.1

66

3

99

5.5

37

5

88

1.2

42

8

10

79

.5

63

2

12

22

.6

21

8

17

20

.8

40

9

15

70

.6

75

9

11

25

.4

92

3

11

74

.5

80

4

20

30

.0

23

6

14

95

.6

82

1

24

65

.1

92

6

19

22

.8

70

2

18

44

.8

24

5

22

11

.0

52

2

25

39

.4

32

4

Peptide Mass Fingerprinting

Page 21: Proteomics

799.0 1441.8 2084.6 2727.4 3370.2 4013.0

Mass (m/z)

3348.0

0

10

20

30

40

50

60

70

80

90

100

% In

te

ns

ity

4700 Reflector Spec #1 MC[BP = 863.4, 3348]

86

3.4

27

9

10

59

.5

33

3

17

37

.8

80

9

12

96

.6

79

7

96

3.5

27

1

12

10

.6

89

1

10

21

.5

52

0

14

25

.6

22

3

19

01

.8

82

7

13

53

.6

01

7

22

42

.1

66

3

99

5.5

37

5

88

1.2

42

8

10

79

.5

63

2

12

22

.6

21

8

17

20

.8

40

9

15

70

.6

75

9

11

25

.4

92

3

11

74

.5

80

4

20

30

.0

23

6

14

95

.6

82

1

24

65

.1

92

6

19

22

.8

70

2

18

44

.8

24

5

22

11

.0

52

2

25

39

.4

32

4

Peptide Mass Fingerprinting

ENSP00000031135

ENSP00000084795

ENSP00000198939

ENSP00000201886

ENSP00000202773

ENSP00000216019

ENSP00000216038

ENSP00000216520

ENSP00000216832

ENSP00000223129

ENSP00000225430

ENSP00000225792

ENSP00000233078

Page 22: Proteomics

799.0 1441.8 2084.6 2727.4 3370.2 4013.0

Mass (m/z)

3348.0

0

10

20

30

40

50

60

70

80

90

100

% In

te

ns

ity

4700 Reflector Spec #1 MC[BP = 863.4, 3348]

86

3.4

27

9

10

59

.5

33

3

17

37

.8

80

9

12

96

.6

79

7

96

3.5

27

1

12

10

.6

89

1

10

21

.5

52

0

14

25

.6

22

3

19

01

.8

82

7

13

53

.6

01

7

22

42

.1

66

3

99

5.5

37

5

88

1.2

42

8

10

79

.5

63

2

12

22

.6

21

8

17

20

.8

40

9

15

70

.6

75

9

11

25

.4

92

3

11

74

.5

80

4

20

30

.0

23

6

14

95

.6

82

1

24

65

.1

92

6

19

22

.8

70

2

18

44

.8

24

5

22

11

.0

52

2

25

39

.4

32

4

Peptide Mass Fingerprinting

ENSP00000031135

ENSP00000084795

ENSP00000198939

ENSP00000201886

ENSP00000202773

ENSP00000216019

ENSP00000216038

ENSP00000216520

ENSP00000216832

ENSP00000223129

ENSP00000225430

ENSP00000225792

ENSP00000233078

ENSP00000254108

ENSP00000254636

ENSP00000254719

ENSP00000254942

ENSP00000259848

ENSP00000259925

ENSP00000261366

ENSP00000261700

ENSP00000216019

ENSP00000262570

ENSP00000262584

ENSP00000262637

ENSP00000262709

Page 23: Proteomics

799.0 1441.8 2084.6 2727.4 3370.2 4013.0

Mass (m/z)

3348.0

0

10

20

30

40

50

60

70

80

90

100

% In

te

ns

ity

4700 Reflector Spec #1 MC[BP = 863.4, 3348]

86

3.4

27

9

10

59

.5

33

3

17

37

.8

80

9

12

96

.6

79

7

96

3.5

27

1

12

10

.6

89

1

10

21

.5

52

0

14

25

.6

22

3

19

01

.8

82

7

13

53

.6

01

7

22

42

.1

66

3

99

5.5

37

5

88

1.2

42

8

10

79

.5

63

2

12

22

.6

21

8

17

20

.8

40

9

15

70

.6

75

9

11

25

.4

92

3

11

74

.5

80

4

20

30

.0

23

6

14

95

.6

82

1

24

65

.1

92

6

19

22

.8

70

2

18

44

.8

24

5

22

11

.0

52

2

25

39

.4

32

4

Peptide Mass Fingerprinting

ENSP00000031135

ENSP00000084795

ENSP00000198939

ENSP00000201886

ENSP00000202773

ENSP00000216019

ENSP00000216038

ENSP00000216520

ENSP00000216832

ENSP00000223129

ENSP00000225430

ENSP00000225792

ENSP00000233078

ENSP00000263698

ENSP00000263746

ENSP00000264258

ENSP00000264293

ENSP00000269349

ENSP00000269576

ENSP00000270799

ENSP00000281154

ENSP00000283179

ENSP00000216019

ENSP00000290341

ENSP00000294823

ENSP00000296490

ENSP00000254108

ENSP00000254636

ENSP00000254719

ENSP00000254942

ENSP00000259848

ENSP00000259925

ENSP00000261366

ENSP00000261700

ENSP00000216019

ENSP00000262570

ENSP00000262584

ENSP00000262637

ENSP00000262709

Page 24: Proteomics

799.0 1441.8 2084.6 2727.4 3370.2 4013.0

Mass (m/z)

3348.0

0

10

20

30

40

50

60

70

80

90

100

% In

te

ns

ity

4700 Reflector Spec #1 MC[BP = 863.4, 3348]

86

3.4

27

9

10

59

.5

33

3

17

37

.8

80

9

12

96

.6

79

7

96

3.5

27

1

12

10

.6

89

1

10

21

.5

52

0

14

25

.6

22

3

19

01

.8

82

7

13

53

.6

01

7

22

42

.1

66

3

99

5.5

37

5

88

1.2

42

8

10

79

.5

63

2

12

22

.6

21

8

17

20

.8

40

9

15

70

.6

75

9

11

25

.4

92

3

11

74

.5

80

4

20

30

.0

23

6

14

95

.6

82

1

24

65

.1

92

6

19

22

.8

70

2

18

44

.8

24

5

22

11

.0

52

2

25

39

.4

32

4

Peptide Mass Fingerprinting

ENSP00000031135

ENSP00000084795

ENSP00000198939

ENSP00000201886

ENSP00000202773

ENSP00000216019

ENSP00000216038

ENSP00000216520

ENSP00000216832

ENSP00000223129

ENSP00000225430

ENSP00000225792

ENSP00000233078

ENSP00000263698

ENSP00000263746

ENSP00000264258

ENSP00000264293

ENSP00000269349

ENSP00000269576

ENSP00000270799

ENSP00000281154

ENSP00000283179

ENSP00000216019

ENSP00000290341

ENSP00000294823

ENSP00000296490

ENSP00000254108

ENSP00000254636

ENSP00000254719

ENSP00000254942

ENSP00000259848

ENSP00000259925

ENSP00000261366

ENSP00000261700

ENSP00000216019

ENSP00000262570

ENSP00000262584

ENSP00000262637

ENSP00000262709

ENSP00000202773

ENSP00000216019

ENSP00000216038

ENSP00000216520

ENSP00000216832

ENSP00000223129

ENSP00000225430

ENSP00000225792

ENSP00000233078

ENSP00000233084

ENSP00000233468

ENSP00000240851

Key Concept: Each mass pulls out ~11,000 candidate proteins

Page 25: Proteomics

Peptide Mass Fingerprinting

ENSP00000031135

ENSP00000084795

ENSP00000198939

ENSP00000201886

ENSP00000202773

ENSP00000216019

ENSP00000216038

ENSP00000216520

ENSP00000216832

ENSP00000223129

ENSP00000225430

ENSP00000225792

ENSP00000263698

ENSP00000263746

ENSP00000264258

ENSP00000264293

ENSP00000269349

ENSP00000269576

ENSP00000270799

ENSP00000281154

ENSP00000283179

ENSP00000216019

ENSP00000290341

ENSP00000294823

ENSP00000254108

ENSP00000254636

ENSP00000254719

ENSP00000254942

ENSP00000259848

ENSP00000259925

ENSP00000261366

ENSP00000261700

ENSP00000216019

ENSP00000262570

ENSP00000262584

ENSP00000262637

ENSP00000202773

ENSP00000216055

ENSP00000216038

ENSP00000216019

ENSP00000216832

ENSP00000223129

ENSP00000225430

ENSP00000225792

ENSP00000233078

ENSP00000233084

ENSP00000233468

ENSP00000240851

ENSP00000244357

Key Concept: Ideally only one protein should be uniquely identified

799.0 1441.8 2084.6 2727.4 3370.2 4013.0

Mass (m/z)

3348.0

0

10

20

30

40

50

60

70

80

90

100

% In

te

ns

ity

4700 Reflector Spec #1 MC[BP = 863.4, 3348]

86

3.4

27

9

10

59

.5

33

3

17

37

.8

80

9

12

96

.6

79

7

96

3.5

27

1

12

10

.6

89

1

10

21

.5

52

0

14

25

.6

22

3

19

01

.8

82

7

13

53

.6

01

7

22

42

.1

66

3

99

5.5

37

5

88

1.2

42

8

10

79

.5

63

2

12

22

.6

21

8

17

20

.8

40

9

15

70

.6

75

9

11

25

.4

92

3

11

74

.5

80

4

20

30

.0

23

6

14

95

.6

82

1

24

65

.1

92

6

19

22

.8

70

2

18

44

.8

24

5

22

11

.0

52

2

25

39

.4

32

4

Page 26: Proteomics

Key Concept: Fragments can be matched to a database of proteins.The number of indentified proteins is related to the mass accuracy.

Page 27: Proteomics

Peptide Mass Fingerprints often FAIL to giveSignificant Results

-Protein Mixtures “confuse” the statistical algorithms-Not enough high quality peaks-Too many “popular masses”-Possible to “play” with the search parameters to give a statistically meaningful result.

Can be overcome by performing peptide fragmentation(AKA MS/MS)

Page 28: Proteomics

Thermo Demo Movie

Page 29: Proteomics

799.0 1441.8 2084.6 2727.4 3370.2 4013.0

Mass (m/z)

3348.0

0

10

20

30

40

50

60

70

80

90

100

% I

nte

ns

ity

4700 Reflector Spec #1 MC[BP = 863.4, 3348]

86

3.4

27

9

10

59

.53

33

17

37

.88

09

12

96

.67

97

96

3.5

27

1

12

10

.68

91

10

21

.55

20

14

25

.62

23

19

01

.88

27

13

53

.60

17

22

42

.16

63

99

5.5

37

5

88

1.2

42

8

10

79

.56

32

12

22

.62

18

17

20

.84

09

15

70

.67

59

112

5.4

92

3

117

4.5

80

4

20

30

.02

36

14

95

.68

21

24

65

.19

26

19

22

.87

02

18

44

.82

45

22

11.0

52

2

25

39

.43

24

Proteolysis

What is MS/MS

-MS/MS is a method in which a peptide is fragmented and the masses of the fragment ions measured.

Page 30: Proteomics

799.0 1441.8 2084.6 2727.4 3370.2 4013.0

Mass (m/z)

3348.0

0

10

20

30

40

50

60

70

80

90

100

% I

nte

ns

ity

4700 Reflector Spec #1 MC[BP = 863.4, 3348]

86

3.4

27

9

10

59

.53

33

17

37

.88

09

12

96

.67

97

96

3.5

27

1

12

10

.68

91

10

21

.55

20

14

25

.62

23

19

01

.88

27

13

53

.60

17

22

42

.16

63

99

5.5

37

5

88

1.2

42

8

10

79

.56

32

12

22

.62

18

17

20

.84

09

15

70

.67

59

112

5.4

92

3

117

4.5

80

4

20

30

.02

36

14

95

.68

21

24

65

.19

26

19

22

.87

02

18

44

.82

45

22

11.0

52

2

25

39

.43

24

69 422 775 1128 1481 1834

Mass (m/z)

1449.8

0

10

20

30

40

50

60

70

80

90

100

% In

ten

sit

y

4700 MS/MS Precursor 1737.97 Spec #1 MC[BP = 565.2, 1450]

565.2502

175.1132

353.1470

448.2195 963.41541272.5774

310.2110676.3638

765.3395110.0650 775.4099

648.3871 1585.5645211.1430 399.1859 1062.4656

946.3766530.2659 1695.3250320.1792183.14961563.6715683.3218545.2791 1385.60731174.5771928.4443

757.3596 1555.7285335.1488 475.2506 957.7602631.1696 1226.4336 1513.6215907.8694478.2589

What is MS/MS

-MS/MS is a method in which a peptide is fragmented and the masses of the fragment ions measured.

Page 31: Proteomics

How do you interpret an MS/MS spectra??

S

AM

P

L

E

R

S

AM

PL

E + R

S

AM

PL E

R

S

AM

P

S

AM

L

E

R

PL

E

R

+

+

+

082405OFRep78 #6779 RT: 36.02 AV: 1 NL: 7.56E6T: ITMS + p ESI Full ms [ 400.00-1700.00]

400 600 800 1000 1200 1400 1600m/z

0

10

20

30

40

50

60

70

80

90

100

Re

lative

Ab

un

da

nce

652.45

943.27

627.82 978.09504.73 696.09 787.00 1414.451154.45986.45 1282.55 1515.45 1637.09

082405OFRep78 #6781 RT: 36.03 AV: 1 NL: 8.81E4T: ITMS + c ESI d Full ms2 [email protected] [ 245.00-2000.00]

400 600 800 1000 1200 1400 1600 1800 2000m/z

0

10

20

30

40

50

60

70

80

90

100

Re

lative

Ab

un

da

nce

924.57

545.38

767.43

527.33

638.36

881.60

397.25

329.08

1313.061105.82 1474.14

Page 32: Proteomics

S

AM

PL E

R

+

Page 33: Proteomics

092304GDH100 #4289-4907 RT: 21.31-25.03 AV: 9 NL: 3.40E3T: Average spectrum MS2 499.73 (4289-4907)

200 300 400 500 600 700 800 900 1000

m/z

0

5

10

15

20

25

30

35

40

45

50

55

60

65

70

75

80

85

90

95

100

Re

lative

Ab

un

da

nce

813.24

490.26

742.23

542.19184.99

456.14411.21655.26587.17256.05

343.11 688.18 851.26795.30211.05 384.88 634.55 926.34 974.13

How do you interpret an MS/MS spectra??

Steps for Manual Interpretation

1. Label the precursor masses2. Label any obvious water losses

(m/z with 18)3. Look for any peaks with 28 (a – b ion pairs)4. Look up the mass of the first b ion in the dipeptide chart.5. Begin building the b ion series and use the y ion series for confirmation using

the tables.6. Extend till the you reach the presurser mass. (the last amino acid in the b ion series should

be a Lys or Arg and will be +18 relative to themass in the table.)

Page 34: Proteomics

213.1

99.1

Page 35: Proteomics

213.1

99.1

Page 36: Proteomics

AACode MW

AACode MW

AACode MW

AACode MW

G 57.02 T 101.04 D 115.02 H 137.05

A 71.037 C 103.01 Q 128.05 F 147.06

S 87.03 L 113.08 K 128.09 R 156.10

P 97.05 I 113.08 E 129.04 Y 163.06

V 99.06 N 114.04 M 131.04 W 186.08

99.1

213.1

Page 37: Proteomics

AACode MW

AACode MW

AACode MW

AACode MW

G 57.02 T 101.04 D 115.02 H 137.05

A 71.037 C 103.01 Q 128.05 F 147.06

S 87.03 L 113.08 K 128.09 R 156.10

P 97.05 I 113.08 E 129.04 Y 163.06

V 99.06 N 114.04 M 131.04 W 186.08

V

99.1

213.1

Page 38: Proteomics

AACode MW

AACode MW

AACode MW

AACode MW

G 57.02 T 101.04 D 115.02 H 137.05

A 71.037 C 103.01 Q 128.05 F 147.06

S 87.03 L 113.08 K 128.09 R 156.10

P 97.05 I 113.08 E 129.04 Y 163.06

V 99.06 N 114.04 M 131.04 W 186.08

NV

114

Page 39: Proteomics

AACode MW

AACode MW

AACode MW

AACode MW

G 57.02 T 101.04 D 115.02 H 137.05

A 71.037 C 103.01 Q 128.05 F 147.06

S 87.03 L 113.08 K 128.09 R 156.10

P 97.05 I 113.08 E 129.04 Y 163.06

V 99.06 N 114.04 M 131.04 W 186.08

V N

Q

114 128

Page 40: Proteomics

AACode MW

AACode MW

AACode MW

AACode MW

G 57.02 T 101.04 D 115.02 H 137.05

A 71.037 C 103.01 Q 128.05 F 147.06

S 87.03 L 113.08 K 128.09 R 156.10

P 97.05 I 113.08 E 129.04 Y 163.06

V 99.06 N 114.04 M 131.04 W 186.08

I/L

V N

Q

114 128

113

Page 41: Proteomics

V N

QI/L

GT I/L S E I

K

AACode MW

AACode MW

AACode MW

AACode MW

G 57.02 T 101.04 D 115.02 H 137.05

A 71.037 C 103.01 Q 128.05 F 147.06

S 87.03 L 113.08 K 128.09 R 156.10

P 97.05 I 113.08 E 129.04 Y 163.06

V 99.06 N 114.04 M 131.04 W 186.08

Page 42: Proteomics

V N

QI/L

GT I/L S E I

K

AACode MW

AACode MW

AACode MW

AACode MW

G 57.02 T 101.04 D 115.02 H 137.05

A 71.037 C 103.01 Q 128.05 F 147.06

S 87.03 L 113.08 K 128.09 R 156.10

P 97.05 I 113.08 E 129.04 Y 163.06

V 99.06 N 114.04 M 131.04 W 186.08

VN

QI/L

Page 43: Proteomics

092304GDH100 #4435-4965 RT: 21.95-25.43 AV: 10 NL: 8.04E3T: Average spectrum MS2 501.27 (4435-4965)

200 300 400 500 600 700 800 900 1000

m/z

0

5

10

15

20

25

30

35

40

45

50

55

60

65

70

75

80

85

90

95

100

Re

lativ

e A

bu

nd

an

ce

770.21

641.21230.96

202.99

437.16

491.51360.07869.25564.09

815.26158.03 385.73290.10 752.23536.14 657.29 879.31 1005.55

175.00 417584.10

826.25

Page 44: Proteomics

092304GDH100 #4289-4907 RT: 21.31-25.03 AV: 9 NL: 3.40E3T: Average spectrum MS2 499.73 (4289-4907)

200 300 400 500 600 700 800 900 1000

m/z

0

5

10

15

20

25

30

35

40

45

50

55

60

65

70

75

80

85

90

95

100R

ela

tive

Ab

un

da

nce

813.24

490.26

742.23

542.19184.99

456.14411.21655.26587.17256.05

343.11 688.18 851.26795.30211.05 384.88 634.55 926.34 974.13

157.04

Page 45: Proteomics

799.0 1441.8 2084.6 2727.4 3370.2 4013.0

Mass (m/z)

3348.0

0

10

20

30

40

50

60

70

80

90

100

% I

nte

ns

ity

4700 Reflector Spec #1 MC[BP = 863.4, 3348]

86

3.4

27

9

10

59

.53

33

17

37

.88

09

12

96

.67

97

96

3.5

27

1

12

10

.68

91

10

21

.55

20

14

25

.62

23

19

01

.88

27

13

53

.60

17

22

42

.16

63

99

5.5

37

5

88

1.2

42

8

10

79

.56

32

12

22

.62

18

17

20

.84

09

15

70

.67

59

112

5.4

92

3

117

4.5

80

4

20

30

.02

36

14

95

.68

21

24

65

.19

26

19

22

.87

02

18

44

.82

45

22

11.0

52

2

25

39

.43

24

Proteolysis

69 422 775 1128 1481 1834

Mass (m/z)

1449.8

0

10

20

30

40

50

60

70

80

90

100

% In

ten

sit

y

4700 MS/MS Precursor 1737.97 Spec #1 MC[BP = 565.2, 1450]

565.2502

175.1132

353.1470

448.2195 963.41541272.5774

310.2110676.3638

765.3395110.0650 775.4099

648.3871 1585.5645211.1430 399.1859 1062.4656

946.3766530.2659 1695.3250320.1792183.14961563.6715683.3218545.2791 1385.60731174.5771928.4443

757.3596 1555.7285335.1488 475.2506 957.7602631.1696 1226.4336 1513.6215907.8694478.2589

Key Concept: A sample analyzed by MALDI can generate between 10-20 MS/MS spectra before it is consumed.

Page 46: Proteomics

How to Identify Proteins

Key Concept: A few MS/MS spectra or even MS/MS spectra from a single protein can be manually interpreted

C E Protein Bands are cut from gel,trypsinized and analyzed by massspectrometry

-direct sequencing-search a database (probability based ID)

Page 47: Proteomics

MS/MS allows for Shot Gun Proteomics

Key Concept: Shot Gun Proteomics lets you look at many things at once

Proteolysis

Proteolysis

Proteolysis

Proteolysis

Page 48: Proteomics
Page 49: Proteomics

RT: 0.00 - 89.99

0 10 20 30 40 50 60 70 80Time (min)

0

5

10

15

20

25

30

35

40

45

50

55

60

65

70

75

80

85

90

95

100

Re

lativ

e A

bu

nd

an

ce

34.84

49.29

35.8827.93 39.65

27.75

49.8840.0069.78

18.4854.7625.49

69.3713.5855.30 70.21

7.73 55.81

60.6871.33

6.97 89.20

NL:2.16E7Base Peak F: MS 082405OFRep78

082405OFRep78 #6779 RT: 36.02 AV: 1 NL: 7.56E6T: ITMS + p ESI Full ms [ 400.00-1700.00]

400 600 800 1000 1200 1400 1600m/z

0

10

20

30

40

50

60

70

80

90

100

Re

lative

Ab

un

da

nce

652.45

943.27

627.82 978.09504.73 696.09 787.00 1414.451154.45986.45 1282.55 1515.45 1637.09

082405OFRep78 #6781 RT: 36.03 AV: 1 NL: 8.81E4T: ITMS + c ESI d Full ms2 [email protected] [ 245.00-2000.00]

400 600 800 1000 1200 1400 1600 1800 2000m/z

0

10

20

30

40

50

60

70

80

90

100

Re

lative

Ab

un

da

nce

924.57

545.38

767.43

527.33

638.36

881.60

397.25

329.08

1313.061105.82 1474.14

Protein ID by Mass Spectrometry

Page 50: Proteomics

RT: 0.00 - 89.99

0 10 20 30 40 50 60 70 80Time (min)

0

5

10

15

20

25

30

35

40

45

50

55

60

65

70

75

80

85

90

95

100

Re

lativ

e A

bu

nd

an

ce

34.84

49.29

35.8827.93 39.65

27.75

49.8840.0069.78

18.4854.7625.49

69.3713.5855.30 70.21

7.73 55.81

60.6871.33

6.97 89.20

NL:2.16E7Base Peak F: MS 082405OFRep78

082405OFRep78 #6779 RT: 36.02 AV: 1 NL: 7.56E6T: ITMS + p ESI Full ms [ 400.00-1700.00]

400 600 800 1000 1200 1400 1600m/z

0

10

20

30

40

50

60

70

80

90

100

Re

lative

Ab

un

da

nce

652.45

943.27

627.82 978.09504.73 696.09 787.00 1414.451154.45986.45 1282.55 1515.45 1637.09

082405OFRep78 #6781 RT: 36.03 AV: 1 NL: 8.81E4T: ITMS + c ESI d Full ms2 [email protected] [ 245.00-2000.00]

400 600 800 1000 1200 1400 1600 1800 2000m/z

0

10

20

30

40

50

60

70

80

90

100

Re

lative

Ab

un

da

nce

924.57

545.38

767.43

527.33

638.36

881.60

397.25

329.08

1313.061105.82 1474.14

Protein ID by Mass Spectrometry

~10,000 MS/MS per hourKey Concept: LC-MS/MS data is time restricted by the elution profile of the peptides.Maldi is restricted by sample consumption.

Page 51: Proteomics

V N

QI/L

GT I/L S E I

K

AACode MW

AACode MW

AACode MW

AACode MW

G 57.02 T 101.04 D 115.02 H 137.05

A 71.037 C 103.01 Q 128.05 F 147.06

S 87.03 L 113.08 K 128.09 R 156.10

P 97.05 I 113.08 E 129.04 Y 163.06

V 99.06 N 114.04 M 131.04 W 186.08

Key Concept: de Novo interpretation is computationally intensive. Most software programs do it by Spectral Matching

Page 52: Proteomics

acquiredspectrum

Theoreticalspectrum(y/b ions)

100%

0%

1

0

Spectral Matching

Page 53: Proteomics

acquiredspectrum

theoreticalspectrum(y/b ions)

100%

0%

1

0

x

Spectra matched

Page 54: Proteomics

Protein ID by Mass Spectrometry

Page 55: Proteomics
Page 56: Proteomics