Skip to main content

Database Resources for Proteomics-Based Analysis of Cancer

  • Protocol
  • First Online:
Protein Microarray for Disease Analysis

Part of the book series: Methods in Molecular Biology ((MIMB,volume 723))

Abstract

Biological/bioinformatics databases are essential for medical and biological studies. They integrate and organize biologically related information in a structured format and provide researchers with easy access to a variety of relevant data. This review presents an overview of publicly available databases relevant to proteomics studies in cancer research. They include gene/protein expression databases, gene mutation and single nucleotide polymorphisms databases, tumor antigen databases, protein–protein interaction, and biological pathway databases. Automated information retrieval from these databases enables efficient large-scale proteomics data analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. James P (1997) Protein identification in the post-genome era: the rapid rise of proteomics. Q Rev Biophys 30:279–331

    Article  PubMed  CAS  Google Scholar 

  2. Koomen JM, Haura EB, Bepler G, Sutphen R, Remily-Wood ER, Benson K, Hussein M, Hazlehurst LA, Yeatman TJ, Hildreth LT, Sellers TA, Jacobsen PB, Fenstermacher DA, Dalton WS (2008) Proteomic contributions to personalized cancer care. Mol Cell Proteomics 7:1780–1794

    Article  PubMed  CAS  Google Scholar 

  3. Gygi SP, Rochon Y, Franza BR, Aebersold R (1999) Correlation between protein and mRNA abundance in yeast. Mol Cell Biol 19:1720–1730

    PubMed  CAS  Google Scholar 

  4. Ivanov SS, Chung AS, Yuan ZL, Guan YJ, Sachs KV, Reichner JS, Chin YE (2004) Antibodies immobilized as arrays to profile protein post-translational modifications in mammalian cells. Mol Cell Proteomics 3:788–795

    Article  PubMed  CAS  Google Scholar 

  5. Bamford S, Dawson E, Forbes S, Clements J, Pettett R, Dogan A, Flanagan A, Teague J, Futreal PA, Stratton MR, Wooster R (2004) The COSMIC (catalogue of somatic mutations in cancer) database and website. Br J Cancer 91:355–358

    PubMed  CAS  Google Scholar 

  6. Kopf E, Zharhary D (2007) Antibody arrays – an emerging tool in cancer proteomics. Int J Biochem Cell Biol 39:1305–1317

    Article  PubMed  CAS  Google Scholar 

  7. Tao SC, Chen CS, Zhu H (2007) Applications of protein microarray technology. Comb Chem High Throughput Screen 10:706–718

    Article  PubMed  CAS  Google Scholar 

  8. Sherman BT, da Huang W, Tan Q, Guo Y, Bour S, Liu D, Stephens R, Baseler MW, Lane HC, Lempicki RA (2007) DAVID knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis. BMC Bioinformatics 8:426

    Article  PubMed  Google Scholar 

  9. da Huang W, Sherman BT, Tan Q, Kir J, Liu D, Bryant D, Guo Y, Stephens R, Baseler MW, Lane HC, Lempicki RA (2007) DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists. Nucleic Acids Res 35:W169–W175

    Article  Google Scholar 

  10. Rajcevic U, Niclou SP, Jimenez CR (2009) Proteomics strategies for target identification and biomarker discovery in cancer. Front Biosci 14:3292–3303

    Article  PubMed  CAS  Google Scholar 

  11. Grantzdorffer I, Carl-McGrath S, Ebert MP, Rocken C (2008) Proteomics of pancreatic cancer. Pancreas 36:329–336

    Article  PubMed  Google Scholar 

  12. Sahin U, Tureci O, Schmitt H, Cochlovius B, Johannes T, Schmits R, Stenner F, Luo G, Schobert I, Pfreundschuh M (1995) Human neoplasms elicit multiple specific immune responses in the autologous host. Proc Natl Acad Sci USA 92:11810–11813

    Article  PubMed  CAS  Google Scholar 

  13. Boutet E, Lieberherr D, Tognolli M, Schneider M, Bairoch A (2007) UniProtKB/Swiss-Prot. Methods Mol Biol 406:89–112

    Article  PubMed  CAS  Google Scholar 

  14. Rebhan M, Chalifa-Caspi V, Prilusky J, Lancet D (1998) GeneCards: a novel functional genomics compendium with automated data mining and query reformulation support. Bioinformatics 14:656–664

    Article  PubMed  CAS  Google Scholar 

  15. Barrett T, Troup DB, Wilhite SE, Ledoux P, Rudnev D, Evangelista C, Kim IF, Soboleva A, Tomashevsky M, Marshall KA, Phillippy KH, Sherman PM, Muertter RN, Edgar R (2009) NCBI GEO: archive for high-throughput functional genomic data. Nucleic Acids Res 37:D885–D890

    Article  PubMed  CAS  Google Scholar 

  16. Ikeo K, Ishi-i J, Tamura T, Gojobori T, Tateno Y (2003) CIBEX: center for information biology gene expression database. C R Biol 326:1079–1082

    Article  PubMed  CAS  Google Scholar 

  17. Rocca-Serra P, Brazma A, Parkinson H, Sarkans U, Shojatalab M, Contrino S, Vilo J, Abeygunawardena N, Mukherjee G, Holloway E, Kapushesky M, Kemmeren P, Lara GG, Oezcimen A, Sansone SA (2003) ArrayExpress: a public database of gene expression data at EBI. C R Biol 326:1075–1078

    Article  PubMed  CAS  Google Scholar 

  18. Parkinson H, Kapushesky M, Kolesnikov N, Rustici G, Shojatalab M, Abeygunawardena N, Berube H, Dylag M, Emam I, Farne A, Holloway E, Lukk M, Malone J, Mani R, Pilicheva E, Rayner TF, Rezwan F, Sharma A, Williams E, Bradley XZ, Adamusiak T, Brandizi M, Burdett T, Coulson R, Krestyaninova M, Kurnosov P, Maguire E, Neogi SG, Rocca-Serra P, Sansone SA, Sklyar N, Zhao M, Sarkans U, Brazma A (2009) ArrayExpress update – from an archive of functional genomics experiments to the atlas of gene expression. Nucleic Acids Res 37:D868–D872

    Article  PubMed  CAS  Google Scholar 

  19. Kato K, Yamashita R, Matoba R, Monden M, Noguchi S, Takagi T, Nakai K (2005) Cancer gene expression database (CGED): a database for gene expression profiling with accompanying clinical information of human cancer tissues. Nucleic Acids Res 33:D533–D536

    Article  PubMed  CAS  Google Scholar 

  20. Penkett CJ, Bahler J (2004) Navigating public microarray databases. Comp Funct Genomics 5:471–479

    Article  PubMed  CAS  Google Scholar 

  21. Zeng ZY, Xiong W, Zhou YH, Li XL, Li GY (2006) [Advances in high-density whole genome-wide single nucleotide polymorphism array in cancer research]. Ai Zheng 25:1454–1458

    PubMed  CAS  Google Scholar 

  22. Forbes SA, Bhamra G, Bamford S, Dawson E, Kok C, Clements J, Menzies A, Teague JW, Futreal PA, Stratton MR (2008) The catalogue of somatic mutations in cancer (COSMIC). Curr Protoc Hum Genet. Chapter 10, Unit 10 11

    Google Scholar 

  23. Stenson PD, Mort M, Ball EV, Howells K, Phillips AD, Thomas NS, Cooper DN (2009) The human gene mutation database: 2008 update. Genome Med 1:13

    Article  PubMed  Google Scholar 

  24. Shimizu N, Ohtsubo M, Minoshima S (2007) MutationView/KMcancerDB: a database for cancer gene mutations. Cancer Sci 98:259–267

    Article  PubMed  CAS  Google Scholar 

  25. Futreal PA, Coin L, Marshall M, Down T, Hubbard T, Wooster R, Rahman N, Stratton MR (2004) A census of human cancer genes. Nat Rev Cancer 4:177–183

    Article  PubMed  CAS  Google Scholar 

  26. Hernandez-Boussard T, Rodriguez-Tome P, Montesano R, Hainaut P (1999) IARC p53 mutation database: a relational database to compile and analyze p53 mutations in human tumors and cell lines. International Agency for Research on Cancer. Hum Mutat 14:1–8

    Article  PubMed  CAS  Google Scholar 

  27. Murphy JA, Barrantes-Reynolds R, Kocherlakota R, Bond JP, Greenblatt MS (2004) The CDKN2A database: integrating allelic variants with evolution, structure, function, and disease association. Hum Mutat 24:296–304

    Article  PubMed  CAS  Google Scholar 

  28. Gottlieb B, Trifiro M, Lumbroso R, Pinsky L (1997) The androgen receptor gene mutations database. Nucleic Acids Res 25:158–162

    Article  PubMed  CAS  Google Scholar 

  29. Gottlieb B, Beitel LK, Wu JH, Trifiro M (2004) The androgen receptor gene mutations database (ARDB): 2004 update. Hum Mutat 23:527–533

    Article  PubMed  CAS  Google Scholar 

  30. Jackson MA, Lea I, Rashid A, Peddada SD, Dunnick JK (2006) Genetic alterations in cancer knowledge system: analysis of gene mutations in mouse and human liver and lung tumors. Toxicol Sci 90:400–418

    Article  PubMed  CAS  Google Scholar 

  31. Hu Y, McDermott MP, Ahrendt SA (2005) The p53 codon 72 proline allele is associated with p53 gene mutations in non-small cell lung cancer. Clin Cancer Res 11:2502–2509

    Article  PubMed  CAS  Google Scholar 

  32. Packer BR, Yeager M, Burdett L, Welch R, Beerman M, Qi L, Sicotte H, Staats B, Acharya M, Crenshaw A, Eckert A, Puri V, Gerhard DS, Chanock SJ (2006) SNP500Cancer: a public resource for sequence validation, assay development, and frequency analysis for genetic variation in candidate genes. Nucleic Acids Res 34:D617–D621

    Article  PubMed  CAS  Google Scholar 

  33. Smigielski EM, Sirotkin K, Ward M, Sherry ST (2000) dbSNP: a database of single nucleotide polymorphisms. Nucleic Acids Res 28:352–355

    Article  PubMed  CAS  Google Scholar 

  34. Rhee H, Lee JS (2009) MedRefSNP: a database of medically investigated SNPs. Hum Mutat 30:E460–E466

    Article  PubMed  Google Scholar 

  35. van der Bruggen P, Traversari C, Chomez P, Lurquin C, De Plaen E, Van den Eynde B, Knuth A, Boon T (1991) A gene encoding an antigen recognized by cytolytic T lymphocytes on a human melanoma. Science 254:1643–1647

    Article  PubMed  Google Scholar 

  36. Scanlan MJ, Gure AO, Jungbluth AA, Old LJ, Chen YT (2002) Cancer/testis antigens: an expanding family of targets for cancer immunotherapy. Immunol Rev 188:22–32

    Article  PubMed  CAS  Google Scholar 

  37. Almeida LG, Sakabe NJ, deOliveira AR, Silva MC, Mundstein AS, Cohen T, Chen YT, Chua R, Gurung S, Gnjatic S, Jungbluth AA, Caballero OL, Bairoch A, Kiesler E, White SL, Simpson AJ, Old LJ, Camargo AA, Vasconcelos AT (2009) CTdatabase: a knowledge-base of high-throughput and curated data on cancer-testis antigens. Nucleic Acids Res 37:D816–D819

    Article  PubMed  CAS  Google Scholar 

  38. Donnes P, Hoglund A, Sturm M, Comtesse N, Backes C, Meese E, Kohlbacher O, Lenhof HP (2004) Integrative analysis of cancer-related data using CAP. FASEB J 18:1465–1467

    PubMed  Google Scholar 

  39. Jongeneel V (2001) Towards a cancer immunome database. Cancer Immun 1:3

    PubMed  CAS  Google Scholar 

  40. Novellino L, Castelli C, Parmiani G (2005) A listing of human tumor antigens recognized by T cells. Cancer Immunol Immunother 54:187–207

    Article  PubMed  CAS  Google Scholar 

  41. Van den Eynde BJ, van der Bruggen P (1997) T cell defined tumor antigens. Curr Opin Immunol 9:684–693

    Article  PubMed  Google Scholar 

  42. Strausberg RL, Buetow KH, Greenhut SF, Grouse LH, Schaefer CF (2002) The cancer genome anatomy project: online resources to reveal the molecular signatures of cancer. Cancer Investig 20:1038–1050

    Article  CAS  Google Scholar 

  43. Schaefer C, Grouse L, Buetow K, Strausberg RL (2001) A new cancer genome anatomy project web resource for the community. Cancer J 7:52–60

    PubMed  CAS  Google Scholar 

  44. Krupke D, Naf D, Vincent M, Allio T, Mikaelian I, Sundberg J, Bult C, Eppig J (2005) The Mouse Tumor Biology Database: integrated access to mouse cancer biology data. Exp Lung Res 31:259–270

    Article  PubMed  CAS  Google Scholar 

  45. Bader GD, Cary MP, Sander C (2006) Pathguide: a pathway resource list. Nucleic Acids Res 34:D504–D506

    Article  PubMed  CAS  Google Scholar 

  46. Bauer-Mehren A, Furlong LI, Sanz F (2009) Pathway databases and tools for their exploitation: benefits, current limitations and challenges. Mol Syst Biol 5:290

    Article  PubMed  Google Scholar 

  47. Kanehisa M, Goto S, Furumichi M, Tanabe M Hirakawa, M (2010) KEGG for representation and analysis of molecular networks involving diseases and drugs, Nucleic Acids Res 38:D355–D360

    Google Scholar 

  48. Matthews L, Gopinath G, Gillespie M, Caudy M, Croft D, de Bono B, Garapati P, Hemish J, Hermjakob H, Jassal B, Kanapin A, Lewis S, Mahajan S, May B, Schmidt E, Vastrik I, Wu G, Birney E, Stein L, D’Eustachio P (2009) Reactome knowledgebase of human biological pathways and processes. Nucleic Acids Res 37:D619–D622

    Article  PubMed  CAS  Google Scholar 

  49. Schaefer CF, Anthony K, Krupa S, Buchoff J, Day M, Hannay T, Buetow KH (2009) PID: the Pathway Interaction Database. Nucleic Acids Res 37:D674–D679

    Article  PubMed  CAS  Google Scholar 

  50. Chowbina SR, Wu X, Zhang F, Li PM, Pandey R, Kasamsetty HN, Chen JY (2009) HPD: an online integrated human pathway database enabling systems biology studies. BMC Bioinformatics 10(Suppl 11):S5

    Article  PubMed  Google Scholar 

  51. Keshava Prasad TS, Goel R, Kandasamy K, Keerthikumar S, Kumar S, Mathivanan S, Telikicherla D, Raju R, Shafreen B, Venugopal A, Balakrishnan L, Marimuthu A, Banerjee S, Somanathan DS, Sebastian A, Rani S, Ray S, Harrys Kishore CJ, Kanth S, Ahmed M, Kashyap MK, Mohmood R, Ramachandra YL, Krishna V, Rahiman BA, Mohan S, Ranganathan P, Ramabadran S, Chaerkady R, Pandey A (2009) Human Protein Reference Database – 2009 update. Nucleic Acids Res 37:D767–D772

    Article  PubMed  CAS  Google Scholar 

  52. Chen JY, Mamidipalli S, Huan T (2009) HAPPI: an online database of comprehensive human annotated and predicted protein interactions. BMC Genomics 10(Suppl 1):S16

    Article  PubMed  Google Scholar 

  53. Persico M, Ceol A, Gavrila C, Hoffmann R, Florio A, Cesareni G (2005) HomoMINT: an inferred human network based on orthology mapping of protein interactions discovered in model organisms. BMC Bioinformatics 6(Suppl 4):S21

    Article  PubMed  Google Scholar 

  54. Aranda B, Achuthan P, Alam-Faruque Y, Armean I, Bridge A, Derow C, Feuermann M, Ghanbarian AT, Kerrien S, Khadake J, Kerssemakers J, Leroy C, Menden M, Michaut M, Montecchi-Palazzi L, Neuhauser SN, Orchard S, Perreau V, Roechert B, van Eijk K, Hermjakob H (2009) The IntAct molecular interaction database in 2010. Nucleic Acids Res 38(Database issue):D525–31

    PubMed  Google Scholar 

  55. Lehne B, Schlitt T (2009) Protein-protein interaction databases: keeping up with growing interactomes. Hum Genomics 3:291–297

    PubMed  CAS  Google Scholar 

  56. Mathivanan S, Periaswamy B, Gandhi TK, Kandasamy K, Suresh S, Mohmood R, Ramachandra YL, Pandey A (2006) An evaluation of human protein–protein interaction data in the public domain. BMC Bioinformatics 7(Suppl 5):S19

    Article  PubMed  Google Scholar 

  57. Galperin MY, Cochrane GR (2009) Nucleic acids research annual database issue and the NAR online molecular biology database collection in 2009. Nucleic Acids Res 37:D1–D4

    Google Scholar 

  58. Brusic V, Zeleznikow J (1999) Knowledge discovery and data mining in biological databases. Knowledge Eng Rev 14:257–277

    Article  Google Scholar 

  59. Jeong SK, Kwon MS, Lee EY, Lee HJ, Cho SY, Kim H, Yoo JS, Omenn GS, Aebersold R, Hanash S, Paik YK (2009) BiomarkerDigger: a versatile disease proteome database and analysis platform for the identification of plasma cancer biomarkers. Proteomics 9:3729–3740

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

We thank Dr. Catherine J. Wu for thoughtful reviews of this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David S. DeLuca .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this protocol

Cite this protocol

Zhang, G.L., DeLuca, D.S., Brusic, V. (2011). Database Resources for Proteomics-Based Analysis of Cancer. In: Wu, C. (eds) Protein Microarray for Disease Analysis. Methods in Molecular Biology, vol 723. Humana Press. https://doi.org/10.1007/978-1-61779-043-0_22

Download citation

  • DOI: https://doi.org/10.1007/978-1-61779-043-0_22

  • Published:

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-61779-042-3

  • Online ISBN: 978-1-61779-043-0

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics