Sechenov Medical Journal

Advanced search


Full Text:


The article describes the place of interactomics in translational medicine. The approaches and methods used for the detection of protein-protein interactions and the construction of interactomes are described. Examples of electronic databases that work with interactomes are given, as well as examples of consortia of such databases. Examples of the use of interactomes for developing new approaches and methods of treatment of such diseases as cancer, diabetes, schizophrenia are considered. The main difficulties encountered in the construction of interactomes, and the prospects for the development of interactomics are outlined.

About the Authors

A. I. Glukhov
I.M. Sechenov First Moscow State Medical University; Lomonosov Moscow State University
Russian Federation

Z. A. Khuchua
I.M. Sechenov First Moscow State Medical University; Cincinnati Childrenʼs Hospital and Medical Center
Russian Federation

G. K. Grizunova
I.M. Sechenov First Moscow State Medical University
Russian Federation

D. V. Astakhov
I.M. Sechenov First Moscow State Medical University
Russian Federation

M. I. Danilevskiy
I.M. Sechenov First Moscow State Medical University
Russian Federation


1. Cohrs R.J., Martin T., Ghahramani P., Bidaut L., Higgins P., Shahzad A: Translational Medicine definition by the European Society for Translational Medicine. New Horizons in Translational Medicine. 2015; 2(3): 86-88.

2. Batman A.M., Miles M.F. Translating Alcohol Research: Opportunities and Challenges. Alcohol Res. 2015; 37(1): 7-14.

3. Global Translational Regenerative Medicine Market Prospects 2017-2027. URL:

4. Beadle G.W., Tatum E.L. Genetic Control of Biochemical Reactions in Neurospora. Proc Natl Acad Sci U S A. 1941; 27(11): 499-506.

5. Stumpf M.P., Thorne T., de Silva E., Stewart R., An H.J., Lappe M., Wiuf C. Estimating the size of the human interactome. Proc Natl Acad Sci U S A. 2008; 105(19): 6959-64.

6. Goh K.I., Cusick M.E., Valle D., Childs B., Vidal M., Barabasi A.L. The human disease network. Proc Natl Acad Sci U S A. 2007; 104(21): 8685-90.

7. Vidal M., Cusick M.E., Barabasi A.L. Interactome networks and human disease. Cell. 2011; 144(6): 986-98.

8. Snider J., Kotlyar M., Saraon P., Yao Z., Jurisica I., Stagljar I. Fundamentals of protein interaction network mapping. Mol Syst Biol. 2015; 11(12): 848.

9. Lage K. Protein-protein interactions and genetic diseases: The interactome. Biochim Biophys Acta. 2014. 1842(10): 1971-1980.

10. Xenarios I., Salwinski L., Duan X.J., Higney P., Kim S.M., Eisenberg D. DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions. Nucleic Acids Res. 2002; 30(1): 303-5.

11. Kerrien S., Aranda B., Breuza L., Bridge A., Broackes-Carter F., Chen C., Duesbury M., Dumousseau M., Feuermann M., Hinz U. et al. The IntAct molecular interaction database in 2012. Nucleic Acids Res. 2012; 40: D841-6.

12. Ceol A., Chatr Aryamontri A., Licata L., Peluso D., Briganti L., Perfetto L., Castagnoli L., Cesareni G. MINT, the molecular interaction database: 2009 update. Nucleic Acids Res. 2010; 38: D532-D539.

13. Chautard E., Fatoux-Ardore M., Ballut L., Thierry-Mieg N., Ricard-Blum S. MatrixDB, the extracellular matrix interaction database. Nucleic Acids Res. 2011; 39: D235-40.

14. Goll J., Rajagopala S.V., Shiau S.C., Wu H., Lamb B.T., Uetz P. MPIDB: the microbial protein interaction database. Bioinformatics. 2008; 24(15): 1743-4.

15. Breuer K., Foroushani A.K., Laird M.R., Chen C., Sribnaia A., Lo R., Winsor G.L., Hancock R.E., Brinkman F.S., Lynn D.J. InnateDB: systems biology of innate immunity and beyond--recent updates and continuing curation. Nucleic Acids Res. 2013; 41: D1228-33.

16. Niu Y., Otasek D., Jurisica I. Evaluation of linguistic features useful in extraction of interactions from PubMed; application to annotating known, high-throughput and predicted interactions in I2D. Bioinformatics. 2010; 26(1): 111-9.

17. Orchard S., Kerrien S., Abbani S., Aranda B., Bhate J., Bidwell S., Bridge A., Briganti L., Brinkman F.S., Cesareni G. et al. Protein interaction data curation: the International Molecular Exchange (IMEx) consortium. Nat Methods. 2012; 9(4): 345-50.

18. Kiemer L., Cesareni G. Comparative interactomics: comparing apples and pears? Trends Biotechnol. 2007; 25(10): 448-54.

19. Huttlin E.L., Bruckner R.J., Paulo J.A., Cannon J.R., Ting L., Baltier K., Colby G., Gebreab F., Gygi M.P., Parzen H. et al. Architecture of the human interactome defines protein communities and disease networks. Nature. 2017; 545(7655): 505-509.

20. Califano A., Butte A.J., Friend S., Ideker T., Schadt E. Leveraging models of cell regulation and GWAS data in integrative network-based association studies. Nat Genet. 2012; 44(8): 841-7.

21. Li J-W., Lee H-M., Wang Y., Tong AH-Y., Yip K.Y.., Tsui SK-W., Lok S., Ozaki R., Luk A.O., Kong A.P.S. et al. Interactome-transcriptome analysis discovers signatures complementary to GWAS Loci of Type 2 Diabetes. Scientific Reports. 2016; 6: 35228.

22. Schizophrenia Working Group of the Psychiatric Genomics C: Biological insights from 108 schizophrenia-associated genetic loci. Nature. 2014; 511(7510): 421-7.

23. Millar J.K., Christie S., Anderson S., Lawson D., Hsiao-Wei Loh D., Devon R.S., Arveiler B., Muir W.J., Blackwood D.H., Porteous D.J. Genomic structure and localisation within a linkage hotspot of Disrupted In Schizophrenia 1, a gene disrupted by a translocation segregating with schizophrenia. Mol Psychiatry. 2001; 6(2): 173-8.

24. Camargo L.M., Collura V., Rain J.C., Mizuguchi K., Hermjakob H., Kerrien S., Bonnert T.P., Whiting P.J., Brandon N.J. Disrupted in Schizophrenia 1 Interactome: evidence for the close connectivity of risk genes and a potential synaptic basis for schizophrenia. Mol Psychiatry. 2007; 12(1): 74-86.

25. Ganapathiraju M.K., Thahir M., Handen A., Sarkar S.N., Sweet R.A., Nimgaonkar V.L., Loscher C.E., Bauer E.M., Chaparala S. Schizophrenia interactome with 504 novel protein-protein interactions. Npj Schizophrenia. 2016; 2: 16012.

26. Ung M.H., Liu C.C., Cheng C. Integrative analysis of cancer genes in a functional interactome. Sci Rep. 2016; 6: 29228.

27. Taylor I.W., Linding R., Warde-Farley D., Liu Y., Pesquita C., Faria D., Bull S., Pawson T., Morris Q., Wrana J.L. Dynamic modularity in protein interaction networks predicts breast cancer outcome. Nat Biotechnol. 2009; 27(2):199-204.

28. Brown K.R., Jurisica I. Online predicted human interaction database. Bioinformatics. 2005; 21(9): 2076-82.

29. Wang Y., Cortez D., Yazdi P., Neff N., Elledge S.J., Qin J. BASC, a super complex of BRCA1-associated proteins involved in the recognition and repair of aberrant DNA structures. Genes Dev. 2000; 14(8): 927-39.


Views: 192

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

ISSN 2218-7332 (Print)
ISSN 2658-3348 (Online)