data integration and systems biology

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Lars Juhl Jensen Data Integration and Systems Biology

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Danish Protein Science Meeting, Skt. Helene, Tisvildeleje, Denmark, November 6-7, 2008

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Page 1: Data Integration and Systems Biology

Lars Juhl Jensen

Data Integration and Systems Biology

Page 2: Data Integration and Systems Biology

Lars Juhl Jensen

Data Integration and Systems Biology

Page 3: Data Integration and Systems Biology

what went wrong?

Page 4: Data Integration and Systems Biology

a good problem

Page 5: Data Integration and Systems Biology

a good idea

Page 6: Data Integration and Systems Biology

cell-cycle regulation

Page 7: Data Integration and Systems Biology

microarray data

Page 8: Data Integration and Systems Biology

interaction network

Page 9: Data Integration and Systems Biology

de Lichtenberg, Jensen, et al., Science, 2005

Page 10: Data Integration and Systems Biology

new uses for old drugs

Page 11: Data Integration and Systems Biology

chemical similarity

Page 12: Data Integration and Systems Biology

side effects

Page 13: Data Integration and Systems Biology
Page 14: Data Integration and Systems Biology
Page 15: Data Integration and Systems Biology
Page 16: Data Integration and Systems Biology

the problem

Page 17: Data Integration and Systems Biology

phosphorylation networks

Page 18: Data Integration and Systems Biology

mass spectrometry

Page 19: Data Integration and Systems Biology

Linding, Jensen, Ostheimer et al., Cell, 2007

Page 20: Data Integration and Systems Biology

phosphorylation sites

Page 21: Data Integration and Systems Biology

in vivo

Page 22: Data Integration and Systems Biology

kinases are unknown

Page 23: Data Integration and Systems Biology

peptide assays

Page 24: Data Integration and Systems Biology

Miller, Jensen et al., Science Signaling, 2008

Page 25: Data Integration and Systems Biology

sequence specificity

Page 26: Data Integration and Systems Biology

kinase-specific

Page 27: Data Integration and Systems Biology

in vitro

Page 28: Data Integration and Systems Biology

no context

Page 29: Data Integration and Systems Biology

what a kinase could do

Page 30: Data Integration and Systems Biology

not what it actually does

Page 31: Data Integration and Systems Biology

computational methods

Page 32: Data Integration and Systems Biology

sequence specificity

Page 33: Data Integration and Systems Biology

Miller, Jensen et al., Science Signaling, 2008

Page 34: Data Integration and Systems Biology

kinase-specific

Page 35: Data Integration and Systems Biology

no context

Page 36: Data Integration and Systems Biology

what a kinase could do

Page 37: Data Integration and Systems Biology

not what it actually does

Page 38: Data Integration and Systems Biology

in vitro

Page 39: Data Integration and Systems Biology

in vivo

Page 40: Data Integration and Systems Biology

context

Page 41: Data Integration and Systems Biology

co-activators

Page 42: Data Integration and Systems Biology

scaffolders

Page 43: Data Integration and Systems Biology

expression

Page 44: Data Integration and Systems Biology

association networks

Page 45: Data Integration and Systems Biology

Linding, Jensen, Ostheimer et al., Cell, 2007

Page 46: Data Integration and Systems Biology

the idea

Page 47: Data Integration and Systems Biology

mass spectrometry

Page 48: Data Integration and Systems Biology

phosphorylation sites

Page 49: Data Integration and Systems Biology

sequence motifs

Page 50: Data Integration and Systems Biology

sequence specificity

Page 51: Data Integration and Systems Biology

association network

Page 52: Data Integration and Systems Biology

context

Page 53: Data Integration and Systems Biology

in vitro

Page 54: Data Integration and Systems Biology

in vivo

Page 55: Data Integration and Systems Biology

Linding, Jensen, Ostheimer et al., Cell, 2007

Page 56: Data Integration and Systems Biology

the sequence motifs

Page 57: Data Integration and Systems Biology

NetPhorest

Page 58: Data Integration and Systems Biology

Miller, Jensen et al., Science Signaling, 2008

Page 59: Data Integration and Systems Biology

pipeline

Page 60: Data Integration and Systems Biology

data organization

Page 61: Data Integration and Systems Biology

Miller, Jensen et al., Science Signaling, 2008

Page 62: Data Integration and Systems Biology

compilation of datasets

Page 63: Data Integration and Systems Biology

Miller, Jensen et al., Science Signaling, 2008

Page 64: Data Integration and Systems Biology

redundancy reduction

Page 65: Data Integration and Systems Biology

Miller, Jensen et al., Science Signaling, 2008

Page 66: Data Integration and Systems Biology

cross-validation partitioning

Page 67: Data Integration and Systems Biology

Miller, Jensen et al., Science Signaling, 2008

Page 68: Data Integration and Systems Biology

training and evaluation

Page 69: Data Integration and Systems Biology

classifier selection

Page 70: Data Integration and Systems Biology

Miller, Jensen et al., Science Signaling, 2008

Page 71: Data Integration and Systems Biology

motif atlas

Page 72: Data Integration and Systems Biology
Page 73: Data Integration and Systems Biology

179 kinases

Page 74: Data Integration and Systems Biology

93 SH2 domains

Page 75: Data Integration and Systems Biology

8 PTB domains

Page 76: Data Integration and Systems Biology

BRCT domains

Page 77: Data Integration and Systems Biology

WW domains

Page 78: Data Integration and Systems Biology

14-3-3 proteins

Page 79: Data Integration and Systems Biology

benchmarking

Page 80: Data Integration and Systems Biology

Miller, Jensen et al., Science Signaling, 2008

Page 81: Data Integration and Systems Biology

low-specificity kinases

Page 82: Data Integration and Systems Biology

disease-related kinases

Page 83: Data Integration and Systems Biology

Miller, Jensen et al., Science Signaling, 2008

Page 84: Data Integration and Systems Biology

docking domains

Page 85: Data Integration and Systems Biology

Miller, Jensen et al., Science Signaling, 2008

Page 86: Data Integration and Systems Biology

the context network

Page 87: Data Integration and Systems Biology

STRING

Page 88: Data Integration and Systems Biology

functional associations

Page 89: Data Integration and Systems Biology

373 genomes

Page 90: Data Integration and Systems Biology

Jensen et al., Nucleic Acids Research, 2008

Page 91: Data Integration and Systems Biology

genomic context methods

Page 92: Data Integration and Systems Biology

gene fusion

Page 93: Data Integration and Systems Biology

Korbel et al., Nature Biotechnology, 2004

Page 94: Data Integration and Systems Biology

conserved neighborhood

Page 95: Data Integration and Systems Biology

Korbel et al., Nature Biotechnology, 2004

Page 96: Data Integration and Systems Biology

phylogenetic profiles

Page 97: Data Integration and Systems Biology

Korbel et al., Nature Biotechnology, 2004

Page 98: Data Integration and Systems Biology

primary experimental data

Page 99: Data Integration and Systems Biology

protein interactions

Page 100: Data Integration and Systems Biology

Jensen & Bork, Science, 2008

Page 101: Data Integration and Systems Biology

gene coexpression

Page 102: Data Integration and Systems Biology
Page 103: Data Integration and Systems Biology

literature mining

Page 104: Data Integration and Systems Biology
Page 105: Data Integration and Systems Biology

curated knowledge

Page 106: Data Integration and Systems Biology

Letunic & Bork, Trends in Biochemical Sciences, 2008

Page 107: Data Integration and Systems Biology

different formats

Page 108: Data Integration and Systems Biology

parsers

Page 109: Data Integration and Systems Biology

different gene identifiers

Page 110: Data Integration and Systems Biology

thesaurus

Page 111: Data Integration and Systems Biology

redundancy

Page 112: Data Integration and Systems Biology

bookkeeping

Page 113: Data Integration and Systems Biology

variable reliability

Page 114: Data Integration and Systems Biology

benchmarking

Page 115: Data Integration and Systems Biology

von Mering et al., Nucleic Acids Research, 2005

Page 116: Data Integration and Systems Biology

spread over many species

Page 117: Data Integration and Systems Biology

transfer by orthology

Page 118: Data Integration and Systems Biology

von Mering et al., Nucleic Acids Research, 2005

Page 119: Data Integration and Systems Biology

combine all evidence

Page 120: Data Integration and Systems Biology

Linding, Jensen, Ostheimer et al., Cell, 2007

Page 121: Data Integration and Systems Biology

the results

Page 122: Data Integration and Systems Biology

NetworKIN

Page 123: Data Integration and Systems Biology

123 kinases

Page 124: Data Integration and Systems Biology

5515 substrates

Page 125: Data Integration and Systems Biology

21,702 sites

Page 126: Data Integration and Systems Biology

benchmarking

Page 127: Data Integration and Systems Biology

Phospho.ELM

Page 128: Data Integration and Systems Biology

Linding, Jensen, Ostheimer et al., Cell, 2007

Page 129: Data Integration and Systems Biology

2.5-fold better accuracy

Page 130: Data Integration and Systems Biology

context is crucial

Page 131: Data Integration and Systems Biology

ATM signaling

Page 132: Data Integration and Systems Biology

Linding, Jensen, Ostheimer et al., Cell, 2007

Page 133: Data Integration and Systems Biology

Linding, Jensen, Ostheimer et al., Cell, 2007

Page 134: Data Integration and Systems Biology

small-scale validation

Page 135: Data Integration and Systems Biology

ATM phosphorylates Rad50

Page 136: Data Integration and Systems Biology

Linding, Jensen, Ostheimer et al., Cell, 2007

Page 137: Data Integration and Systems Biology

high-throughput validation

Page 138: Data Integration and Systems Biology

multiple reaction monitoring

Page 139: Data Integration and Systems Biology

Linding, Jensen, Ostheimer et al., Cell, 2007

Page 140: Data Integration and Systems Biology

systematic validation

Page 141: Data Integration and Systems Biology

kinase inhibitor matrix

Page 142: Data Integration and Systems Biology

Fedorov et al., PNAS, 2007

Page 143: Data Integration and Systems Biology

design optimal experiments

Page 144: Data Integration and Systems Biology

Acknowledgments

NetworKIN.info– Rune Linding– Gerard Ostheimer– Francesca Diella– Karen Colwill– Jing Jin– Pavel Metalnikov– Vivian Nguyen– Adrian Pasculescu– Jin Gyoon Park– Leona D. Samson– Rob Russell– Peer Bork– Michael Yaffe– Tony Pawson

NetPhorest.info– Martin Lee Miller– Francesca Diella– Claus Jørgensen– Michele Tinti– Lei Li– Marilyn Hsiung– Sirlester A. Parker– Jennifer Bordeaux– Thomas Sicheritz-Pontén– Marina Olhovsky– Adrian Pasculescu– Jes Alexander– Stefan Knapp– Nikolaj Blom– Peer Bork– Shawn Li– Gianni Cesareni– Tony Pawson– Benjamin E. Turk– Michael B. Yaffe– Søren Brunak

STRING.embl.de– Christian von Mering– Michael Kuhn– Manuel Stark– Samuel Chaffron– Philippe Julien– Tobias Doerks– Jan Korbel– Berend Snel– Martijn Huynen– Peer Bork

Page 145: Data Integration and Systems Biology

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