Transcript Slide 1

Information System for
Post-translational Modifications
Murali Mohan Podicheti
School of Informatics
Master of Science in Bioinformatics
Final capstone project
16 December 2005, 3:30 PM
Indiana University
Bloomington, IN
Agenda
•Agenda <
•Introduction to PTM
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM
•Targets for Future
•References
•Acknowledgements
Post-translational modifications - Introduction
Existing databases for hosting PTM information
Why ISPTM?
Features of ISPTM
Implementations for future
References
Acknowledgements
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Post-translational Modifications
•Agenda
•Introduction to PTM <
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM
•Targets for Future
•References
•Acknowledgements
Translation is the process of synthesizing the peptide chain of
amino acids specified by the nucleotide sequence on the mRNA.
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The central Dogma
•Agenda
•Introduction to PTM <
•Existing Databases
•Why ISPTM?
•Transcription
•Feautures of ISPTM
•Translation
•Targets for Future
•References
•Acknowledgements
It is not necessary that the final product of
translation should be the final product of
protein synthesis.
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Changes after Translation
•Agenda
•Introduction to PTM <
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM
•Targets for Future
•References
•Acknowledgements
Peptide chain undergoes folding
Some amino acids might be changed
Carbohydrates or lipids can be added
Peptide can be activated by addition or removal of some
residue (acetate, phosphate, methyl etc.)
Changes in the Hydrogen bond proclivity which results
in secondary and tertiary structures
Some of the proteins might remain in cytosol while
others are transported across the membrane or even
imported into cellular organelles (mitochondria or
chloroplasts) to accomplish their functions
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Changes after Translation
•Agenda
•Introduction to PTM <
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM
•Targets for Future
•References
•Acknowledgements
Post-translational
Modifications
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Types of Post-translational modifications
•Agenda
•Introduction to PTM
-PTM Types
<
-Significance
Several types of PTMs characterized. Some of them:
Proteolytic cleavage
Glycosylation
-PTMs and Cancer
-Identification and
Prediction
•Existing Databases
•Why ISPTM?
Methylation
Hydroxylation
Phosphorylation
•Feautures of ISPTM
Sulfation
•Targets for Future
Acylation
•References
•Acknowledgements
Carboxylation
Prenylation
Selenation
Formylation
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Disulfide bond formation
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Phosphorylation
•Agenda
•Introduction to PTM
-PTM Types
<
-Significance
Phosphorylation is the addition of
a phosphate (PO4) group to a
protein or a small molecule
-PTMs and Cancer
-Identification and
Prediction
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM
•Targets for Future
•References
•Acknowledgements
Phosphorylation and dephosphorylation responsible for activating
or deactivation many enzymes and receptors
Phosphorylation catalyzed by various specific protein kinases,
dephosphorylation by phosphatases
Can occur on Serine, Threonine, Tyrosine
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Glycosylation
•Agenda
•Introduction to PTM
-PTM Types
<
-Significance
-PTMs and Cancer
Glycosylation is the addition of
saccharide to a protein or a
lipid molecule
-Identification and
Prediction
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM
•Targets for Future
•References
•Acknowledgements
• N-Linked Glycosylation
-Amide nitrogen of Asparagine
•O-Linked Glycosylation
- Hydroxy oxygen of Serine and Threonine
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PTMs have significant biological functions
•Agenda
•Introduction to PTM
-PTM Types
-Significance <
-PTMs and Cancer
-Identification and
Prediction
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM
•Targets for Future
Extend the range of possible functions that can be
exhibited by a protein by introducing new chemical groups.
Alter the hydrophobicity of a protein (synthesis of
membrane proteins).
Activating or inactivating an enzyme.
Energy metabolism
Oxidative phosphorylation in respiration
Photophosphorylation in protein synthesis
•References
Signal transduction
•Acknowledgements
Protein degradation
Blood coagulation
Immune system
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PTMs and Cancer
•Agenda
•Introduction to PTM
-PTM Types
-Significance
-PTMs and Cancer <
-Identification and
Prediction
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM
•Targets for Future
•References
Specific forms of post-translational modifications of
histones (H3 and H4) can be used as tumor associated
antigens for diagnosing prostate cancer
Study of the role of p53 post-translational modifications in
carcinogenesis and cancer prevention is useful in the
development of new strategies for treating and preventing
cancer.
Development of new biomarkers and therapeutics
Role of glycosylation in mediating the toxicity of
hyperglycemia and in the control of the insulin gene
expression
•Acknowledgements
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PTMs can be characterized or predicted
•Agenda
•Introduction to PTM
-PTM Types
-Significance
Experimental methods
Crystallography
Mass Spectrometry
-PTMs and Cancer
-Identification and
Prediction <
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM
•Targets for Future
•References
PTM Prediction tools
Auto-motif server
Sulfinator
NetPhos server
Predphospho server
eMOTIF
PROSITE
•Acknowledgements
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PTM Databases
•Agenda
•Introduction to PTM
•Existing Databases <
•Why ISPTM?
•Feautures of ISPTM
General PTM Databases
RESID
Unimod
Delta Mass
•Targets for Future
•References
•Acknowledgements
PTM Databases for Specific Proteins
Histone sequence database
Human Protein Reference Database
Plasma Proteome Database
Databases for Specific PTMs
Phospho.ELM – Phosphorylation
GlycoSuiteDB, SweetDB – Glycosylation
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Limitations of current PTM databases
•Agenda
•Introduction to PTM
•Existing Databases <
•Why ISPTM?
•Feautures of ISPTM
•Targets for Future
•References
•Acknowledgements
The PTMs are mostly annotated in a static fashion,
i.e. an amino acid is denoted as either modified or
unmodified. In reality, some amino acids are
modified under one condition, and return to their
initial state when the condition changes.
The status of a specific amino acid site with respect
to a modification is highly associated with biological
functionality of the protein. But this association is
often not annotated in the database.
Phosphorylation vs. signal transduction
Glycosylation vs. cell-cell interaction
Different PTMs on the same protein may be
associated with each other. These associations are
not annotated in the current databases either.
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The Information System
•Agenda
•Introduction to PTM
•Existing Databases
•Why ISPTM?
<
•Feautures of ISPTM
•Targets for Future
•References
•Acknowledgements
Annotation of PTMs as well as their associations
with
Cell status
Environmental conditions
Biological functions
Each other
A public database that allows the submission of the
PTM information with reference to the factors
affecting them
A web based interface that provides flexibility in
querying the database
A tool to visualize all PTMs in one protein under a
given set of conditions
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ER Model
•Agenda
•Introduction to PTM
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM <
•Targets for Future
•References
•Acknowledgements
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Database
•Agenda
•Introduction to PTM
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM <
•Targets for Future
•References
•Acknowledgements
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The Information System
•Agenda
•Introduction to PTM
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM <
•Targets for Future
•References
•Acknowledgements
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The Information System
•Agenda
•Introduction to PTM
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM <
•Targets for Future
•References
•Acknowledgements
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The Information System
•Agenda
•Introduction to PTM
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM <
•Targets for Future
URL: http://discover.uits.indiana.edu:8410
•References
•Acknowledgements
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Implementations for future
•Agenda
•Introduction to PTM
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM
•Targets for Future <
•References
•Acknowledgements
Implement a middle layer between the database
and the outside world to moderate the data
submitted
Allow data submissions through uploading of
structured text content
Implement the visualization using GD package so
as the allow the user to save the output into an
image file (eg: .png)
Integrate the system with Curation and Alignment
Tool for Protein Analysis (CATPA)
Transfer the database to a development server and
make it officially public
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References
•Agenda
•Introduction to PTM
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM
•Targets for Future
•References <
•Acknowledgements
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Caraglia, M., Tagliaferri, P., Budillon, A., and Abbruzzese, A. (1999). Posttranslational modifications of eukaryotic initiation factor-5A (eIF-5A) as a new
target for anti-cancer therapy. Adv Exp Med Biol 472, 187-198.
Demirev, P.A., Lin, J.S., Pineda, F.J., and Fenselaut, C. (2001). Bioinformatics
and mass spectrometry for microorganism identification: proteome-wide posttranslational modifications and database search algorithms for
characterization of intact H. pylori. Anal Chem 73, 4566-4573.
Dwek, M.V., Ross, H.A., and Leathem, A.J. (2001). Proteome and glycosylation
mapping identifies post-translational modifications associated with aggressive
breast cancer. Proteomics 1, 756-762.
Gong, C.X., Liu, F., Grundke-Iqbal, I., and Iqbal, K. (2005). Post-translational
modifications of tau protein in Alzheimer's disease. J Neural Transm 112, 813838.
Han, K.K., and Martinage, A. (1992). Post-translational chemical modification(s)
of proteins. Int J Biochem 24, 19-28.
Jung, E., Veuthey, A.L., Gasteiger, E., and Bairoch, A. (2001). Annotation of
glycoproteins in the SWISS-PROT database. Proteomics 1, 262-268.
Kim, J.H., Lee, J., Oh, B., Kimm, K., and Koh, I. (2004). Prediction of
phosphorylation sites using SVMs. Bioinformatics 20, 3179-3184.
Kreegipuu, A., Blom, N., and Brunak, S. (1999). PhosphoBase, a database of
phosphorylation sites: release 2.0. Nucleic Acids Res 27, 237-239.
Kwikkers, K.L., Ruijter, J.M., Labruyere, W.T., McMahon, K.K., and Lamers,
W.H. (2005). Effect of arginine deficiency on arginine-dependent posttranslational protein modifications in mice. Br J Nutr 93, 183-189.
Mann, M., and Jensen, O.N. (2003). Proteomic analysis of post-translational
modifications. Nat Biotechnol 21, 255-261.
Monigatti, F., Gasteiger, E., Bairoch, A., and Jung, E. (2002). The Sulfinator:
predicting tyrosine sulfation sites in protein sequences. Bioinformatics 18,
769-770.
Continued…
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References
•Agenda
•Introduction to PTM
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM
•Targets for Future
•References <
•Acknowledgements
Nevalainen, L.T., Louhelainen, J., and Makarow, M. (1989). Post-translational modifications
in mitotic yeast cells. Eur J Biochem 184, 165-172.
Obenauer, J.C., Cantley, L.C., and Yaffe, M.B. (2003). Scansite 2.0: Proteome-wide prediction
of cell signaling interactions using short sequence motifs. Nucleic Acids Res 31, 36353641.
O'Donovan, C., Apweiler, R., and Bairoch, A. (2001). The human proteomics initiative (HPI).
Trends Biotechnol 19, 178-181.
Plewczynski, D., Tkacz, A., Wyrwicz, L.S., and Rychlewski, L. (2005). AutoMotif server:
prediction of single residue post-translational modifications in proteins. Bioinformatics 21,
2525-2527.
Saito, M., Fujii, K., Tanaka, T., and Soshi, S. (2004). Effect of low- and high-intensity pulsed
ultrasound on collagen post-translational modifications in MC3T3-E1 osteoblasts. Calcif
Tissue Int 75, 384-395.
Wang, W., Vignani, R., Scali, M., Sensi, E., and Cresti, M. (2004). Post-translational
modifications of alpha-tubulin in Zea mays L are highly tissue specific. Planta 218, 460-465.
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Acknowledgements
•Agenda
•Introduction to PTM
Thanks to
•Existing Databases
•Why ISPTM?
•
Dr. Haixu Tang (Primary Advisor)
Assistant Professor of Informatics
•Feautures of ISPTM
•Targets for Future
•References
•Acknowledgements <
•
Dr. Mehmet Dalkilic (Secondary Advisor)
Assistant Professor of Informatics
•
Dr. Predrag Radivojac
Assistant Professor of Informatics
•
Dr. Roger Innes
Professor, Dept. of Biology
•
.
Dr. Tom Ashfield
Postdoctoral Associate, Innes Lab
•
Stephanie Burks
Staff, Vice Pres Information Technology
•
Gayathri Athreya
Graduate Student, School of Informatics
•
All my Professors who helped me improve my knowledge
and skills
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Acknowledgements
•Agenda
•Introduction to PTM
•Existing Databases
•Why ISPTM?
•Feautures of ISPTM
•Targets for Future
Special thanks to my wife Roopa Kiran.
•References
•Acknowledgements <
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Discussion
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