Proteomic and Genomic Techniques in Medical Research: Applications in Cancer, Diagnostics, And Personalized Medicine
Authors
Oghenetega E. Imiruaye
Keck Graduate Institute, United States of America (USA) (US)
Liasu Ogunkanmi
Keck Graduate Institute, United States of America (USA) (US)
Article Information
DOI: 10.51583/IJLTEMAS.2025.1406000106
Subject Category: Molecular Biology
Volume/Issue: 14/6 | Page No: 959-967
Publication Timeline
Submitted: 2025-07-23
Published: 2025-07-23
Abstract
Abstract: Advancements in proteomic and genomic technologies have transformed molecular biology by enabling comprehensive analysis of biological systems at the molecular level. This literature review explores the evolution, methodologies, and practical applications of key proteomic and genomic techniques. In proteomics, tools such as two-dimensional electrophoresis, mass spectrometry, Western blotting, Edman degradation, and functional protein microarrays have facilitated high-throughput protein identification, post-translational modification analysis, and biomarker discovery. Similarly, genomic methodologies like PCR, recombinant DNA technology, gel electrophoresis, and Southern blotting have revolutionized gene detection, manipulation, and expression profiling. The review also highlights the interdisciplinary impact of these technologies across clinical diagnostics, oncology, autoimmune disorders, infectious disease surveillance, cardiovascular research, and personalized nutrition. Integrative approaches combining proteomics and genomics are enabling the discovery of novel therapeutic targets, improving disease classification, and advancing precision medicine. Despite current limitations, such as the absence of amplification techniques for proteins and challenges in data interpretation, ongoing innovations promise to bridge these gaps. This synthesis underscores the pivotal role of molecular techniques in deepening our understanding of human biology and accelerating biomedical advancements for improved healthcare outcomes.
Keywords
PCR, Molecular Diagnostics, Electrophoresis, Gene editing, Genotyping
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References
1. Duan, D.D., 2010. Proteomics and Functional Proteomics. In Textbook of Pulmonary Vascular Disease. pp. 591-612. Boston, MA: Springer US. [Google Scholar] [Crossref]
2. Hondermarck, H., 2003. Breast cancer: when proteomics challenges biological complexity. Molecular & Cellular Proteomics, 2(5), pp.281-291. [Google Scholar] [Crossref]
3. Celis, J.E., Østergaard, M., Jensen, N.A., Gromova, I., Rasmussen, H.H. and Gromov, P., 1998. Human and mouse proteomic databases: novel resources in the protein universe. FEBS letters, 430(1-2), pp.64-72. [Google Scholar] [Crossref]
4. Gevaert, K. and Vandekerckhove, J., 2001. Protein characterization: Analytical approaches and applications to proteomics. e LS. [Google Scholar] [Crossref]
5. Nagaraj, N., 2010. Developing mass spectrometry towards applications in clinical proteomics (Doctoral dissertation, Ludwig-Maximilians-Universität München). [Google Scholar] [Crossref]
6. Chow, M. et al. (2010) ‘Proteomics and Mass Spectrometry Applications in Biomedical Research’, Journal of biomolecular techniques. 12: 234-54 [Google Scholar] [Crossref]
7. Kamal, A.H.M., Choi, J.S., Cho, Y.G., Kim, H.S., Song, B.H., Lee, C.W. and Woo, S.H., 2010. Comprehensive proteome analysis using quantitative proteomic technologies. Journal of Plant Biotechnology, 37(2), pp.196-204. [Google Scholar] [Crossref]
8. Graves, P.R. and Haystead, T.A., 2003. A functional proteomics approach to signal transduction. Recent Progress in Hormone Research, 58, pp.1-24. [Google Scholar] [Crossref]
9. Pattini, L., Bertacco, R., Candiani, G., Masseroli, M. and Servi, S., 2011. Trends in biomedical engineering: focus on Genomics and Proteomics. Journal of Applied Biomaterials and Biomechanics, 9(2), pp.98-108. [Google Scholar] [Crossref]
10. Van Regenmortel, M.H., 2001. Proteomics versus genomics. What type of structure–function relationship are we looking for?. Journal of Molecular Recognition, 14(6), pp.321-322. [Google Scholar] [Crossref]
11. Anderson, N.L. and Anderson, N.G., 1998. Proteome and proteomics: new technologies, new concepts, and new words. Electrophoresis, 19(11), pp.1853-1861. [Google Scholar] [Crossref]
12. Lepilkina, O.V. and Grigorieva, A.I., 2025. Proteomic methods for separation and identification of milk proteins. Food systems, 7(4), pp.560-567. [Google Scholar] [Crossref]
13. Saikusa, K., Kinumi, T. and Kato, M., 2022. Development of native mass spectrometry with nanoelectrospray ionization coupled to size exclusion chromatography for proteins. Rapid Communications in Mass Spectrometry, 36(21), p.e9395. [Google Scholar] [Crossref]
14. Ehkirch, A., Hernandez-Alba, O., Colas, O., Beck, A., Guillarme, D. and Cianférani, S., 2018. Hyphenation of size exclusion chromatography to native ion mobility mass spectrometry for the analytical characterization of therapeutic antibodies and related products. Journal of Chromatography B, 1086, pp.176-183. [Google Scholar] [Crossref]
15. Tubbs, C.E., 2000. The biochemical characterization of protein DE and its interaction with rat epididymal sperm. North Carolina State University. [Google Scholar] [Crossref]
16. Lecchi, P., Gupte, A.R., Perez, R.E., Stockert, L.V. and Abramson, F.P., 2003. Size-exclusion chromatography in multidimensional separation schemes for proteome analysis. Journal of biochemical and biophysical methods, 56(1-3), pp.141-152. [Google Scholar] [Crossref]
17. Ventouri, I.K., Veelders, S., Passamonti, M., Endres, P., Roemling, R., Schoenmakers, P.J., Somsen, G.W., Haselberg, R. and Gargano, A.F., 2023. Micro-flow size-exclusion chromatography for enhanced native mass spectrometry of proteins and protein complexes. Analytica Chimica Acta, 1266, p.341324. [Google Scholar] [Crossref]
18. Nadler, T.K., Wagenfeld, B.G., Huang, Y., Lotti, R.J., Parker, K.C. and Vella, G.J., 2004. Electronic Western blot of matrix-assisted laser desorption/ionization mass spectrometric-identified polypeptides from parallel processed gel-separated proteins. Analytical biochemistry, 332(2), pp.337-348. [Google Scholar] [Crossref]
19. Schroeder, W.A., 1972. [24] Degradation of peptides by the Edman method with direct identification of the phenylthiohydantoin-amino acid. In Methods in Enzymology (Vol. 25, pp. 298-313). Academic Press. [Google Scholar] [Crossref]
20. Chen, W., Yin, X., Mu, J. and Yin, Y., 2007. Subfemtomole-level protein sequencing by Edman degradation carried out in a microfluidic chip. Chemical Communications, (24), pp.2488-2490. [Google Scholar] [Crossref]
21. Smith, H., 2001. Brucella periplasmic protein sequencing by Edman degradation. Journal of Bacteriology, 183(4), pp.1272–1279. [Google Scholar] [Crossref]
22. Sutandy, F.X.R., et al., 2014. Protein microarrays: development and applications. Proteomics. 14(13–14), pp.1486–1499. [Google Scholar] [Crossref]
23. Zhu, H., Klemic, J.F., Chang, S., Bertone, P., Casamayor, A., Klemic, K.G., Smith, D., Gerstein, M., Reed, M.A. and Snyder, M., 2000. Analysis of yeast protein kinases using protein chips. Nature Genetics, 26(3), pp.283-289. [Google Scholar] [Crossref]
24. Popescu SC, Snyder M, Dinesh-Kumar S, 2007. Arabidopsis protein microarrays for the high-throughput identification of protein-protein interactions. Plant Signal Behav. 2(5):416-20 [Google Scholar] [Crossref]
25. Dunn, M.J., 1996. Electroblotting of proteins from polyacrylamide gels. Protein Purification Protocols, pp.363-370. [Google Scholar] [Crossref]
26. Kumar, A., et al., 2014. Diagnostic differentiation of Mycoplasma species using SDS-PAGE. Veterinary Research Communications. 38(1), pp.9–17. [Google Scholar] [Crossref]
27. Smyth, M. S., and Martin, J. H. 2000. X-ray crystallography. Molecular Pathology. 53(1), 8–14. [Google Scholar] [Crossref]
28. Lequin, R.M., 2005. Enzyme immunoassay (EIA)/enzyme-linked immunosorbent assay (ELISA). Clinical chemistry, 51(12), pp.2415-2418. [Google Scholar] [Crossref]
29. Eda, S., et al., 2006. Development of ELISA for MAP surface antigen detection. Journal of Immunological Methods. 315(1–2), pp.103–112. [Google Scholar] [Crossref]
30. Mullis, K.B., 1990. The unusual origin of the polymerase chain reaction. Scientific American. 262(4), pp.56-65. [Google Scholar] [Crossref]
31. Manca, V. and Franco, G., 2008. Computing by polymerase chain reaction. Mathematical Biosciences, 211(2), pp.282-298. [Google Scholar] [Crossref]
32. Nicholl, D.S., 2023. An introduction to genetic engineering. Cambridge University Press. [Google Scholar] [Crossref]
33. Shafikhani, S., 2002. Factors affecting PCR‐mediated recombination. Environmental microbiology, 4(8), pp.482-486. [Google Scholar] [Crossref]
34. Farooqui, A.K., Ahmad, H., Rehmani, M.U. and Husain, A., 2023. Quick and easy method for extraction and purification of Pfu-Sso7d, a high processivity DNA polymerase. Protein Expression and Purification, 208, p.106276. [Google Scholar] [Crossref]
35. Pal, A. and Pal, A., 2022. Recombinant DNA Technology. Protocols in Advanced Genomics and Allied Techniques, pp.31-47. [Google Scholar] [Crossref]
36. Jones, D.H. and Winistorfer, S.C., 1993. Use of polymerase chain reaction for making recombinant constructs. PCR Protocols: Current Methods and Applications, pp.241-250. [Google Scholar] [Crossref]
37. Bradley, R.D. and Hillis, D.M., 1997. Recombinant DNA sequences generated by PCR amplification. Molecular biology and evolution, 14(5), pp.592-593. [Google Scholar] [Crossref]
38. Jones, D.H. and Howard, B.H., 1991. A rapid method for recombination and site-specific mutagenesis by placing homologous ends on DNA using polymerase chain reaction. Biotechniques, 10(1), pp.62-66. [Google Scholar] [Crossref]
39. Allison, L.A., 2021. Fundamental molecular biology. John Wiley & Sons. [Google Scholar] [Crossref]
40. Sambrook, J. and Russell, D.W., 2001. Detection of DNA in agarose gels. Molecular Cloning, A Laboratory Manual, (3rd Ed.) Cold Spring Harbor Laboratory Press, New York, pp.5-14. [Google Scholar] [Crossref]
41. Guttmacher, A.E. and Collins, F.S., 2003. Welcome to the genomic era. New England Journal of Medicine, 349(10), pp.996-998. [Google Scholar] [Crossref]
42. Herschleb, J., Ananiev, G. and Schwartz, D.C., 2007. Pulsed-field gel electrophoresis. Nature protocols, 2(3), pp.677-684. [Google Scholar] [Crossref]
43. Southern, E.M., 1975. Detection of specific sequences among DNA fragments separated by gel electrophoresis. Journal of Molecular Biology. 98(3), pp.503-517. [Google Scholar] [Crossref]
44. Kurien, B.T. and Scofield, R.H. (2006). Western blotting. Methods. 38(4), pp.283–293. [Google Scholar] [Crossref]
45. Collins, F.S., Green, E.D., and Guttmacher, A.E. 2003. A vision for the future of genomics research. Nature. 422(6934): 835–847. [Google Scholar] [Crossref]
46. Brown, T.A., 2002. The human genome. In Genomes. 2nd edition. Wiley-Liss. [Google Scholar] [Crossref]
47. Parikh, A., Johnson, J. C., and Merchant, N. 2008. Genomics and proteomics in predicting cancer outcomes. Surgical Oncology Clinics of North America. 17(2), pp. 257–277. [Google Scholar] [Crossref]
48. Posadas, E.M., Gulley, J.L., Arlen, P.M., Trout, A., Parnes, H.L., Wright, J., Lee, M.J., Chung, E.J., Trepel, J.B., Sparreboom, A., and Chen, C., 2005. A phase II study of perifosine in androgen-independent prostate cancer. Cancer biology & therapy, 4(10), pp.1133-1137. [Google Scholar] [Crossref]
49. Meani, F., Pecorelli, S., Liotta, L. and Petricoin, E.F., 2009. Clinical application of proteomics in ovarian cancer prevention and treatment. Molecular diagnosis & therapy, 13, pp.297-311. [Google Scholar] [Crossref]
50. Hu, W., Wu, W., Kobayashi, R. and Kavanagh, J.J., 2004. Proteomics in cancer screening and management in gynecologic cancer. Current oncology reports, 6, pp.456-462. [Google Scholar] [Crossref]
51. Wu, W., Hu, W. and Kavanagh, J.J., 2002. Proteomics in cancer research. International Journal of Gynecological Cancer, 12(5), pp.409-423. [Google Scholar] [Crossref]
52. Baron, B., 2016. Application of proteomics to cancer therapy. Centre for Molecular Medicine and Biobanking, University of Malta. [Google Scholar] [Crossref]
53. Meyerson, M. and Carbone, D., 2005. Genomic and proteomic profiling of lung cancers: lung cancer classification in the age of targeted therapy. Journal of clinical oncology, 23(14), pp.3219-3226. [Google Scholar] [Crossref]
54. Pierobon, M., Wulfkuhle, J., Liotta, L.A. and Petricoin III, E.F., 2019. Utilization of proteomic technologies for precision oncology applications. Precision Medicine in Cancer Therapy, pp.171-187. [Google Scholar] [Crossref]
55. Mani, D.R., Krug, K., Zhang, B., Satpathy, S., Clauser, K.R., Ding, L., Ellis, M., Gillette, M.A., and Carr, S.A., 2022. Cancer proteogenomics: current impact and future prospects. Nature Reviews Cancer, 22(5), pp.298-313. [Google Scholar] [Crossref]
56. Konvalinka, A., Scholey, J.W. and Diamandis, E.P., 2012. Searching for new biomarkers of renal diseases through proteomics. Clinical chemistry, 58(2), pp.353-365. [Google Scholar] [Crossref]
57. Mischak, H., Delles, C., Vlahou, A. and Vanholder, R., 2015. Proteomic biomarkers in kidney disease: issues in development and implementation. Nature Reviews Nephrology, 11(4), pp.221-232. [Google Scholar] [Crossref]
58. Smith, M.P.W., Banks, R.E., Wood, S.L., Lewington, A.J. and Selby, P.J., 2009. Application of proteomic analysis to the study of renal diseases. Nature Reviews Nephrology, 5(12), pp.701-712. [Google Scholar] [Crossref]
59. Chen, L., Su, W., Chen, H., Chen, D.Q., Wang, M., Guo, Y. and Zhao, Y.Y., 2018. Proteomics for biomarker identification and clinical application in kidney disease. Advances in clinical chemistry, 85, pp.91-113. [Google Scholar] [Crossref]
60. Lv, Y. and Xie, Y. 2017. Application of proteomics in kidney disease research. Chinese Medical Journal. 6: 54–57. [Google Scholar] [Crossref]
61. Thongboonkerd, V., 2005. Proteomic analysis of renal diseases: unraveling the pathophysiology and biomarker discovery. Expert Review of Proteomics, 2(3), pp.349-366. [Google Scholar] [Crossref]
62. Rovin, B.H. and Klein, J.B., 2015. Proteomics and autoimmune kidney disease. Clinical immunology, 161(1), pp.23-30. [Google Scholar] [Crossref]
63. Wu, J., Chen, Y.D. and Gu, W., 2010. Urinary proteomics as a novel tool for biomarker discovery in kidney diseases. Journal of Zhejiang University Science B, 11(4), pp.227-237. [Google Scholar] [Crossref]
64. Wang, X.L., Fu, A., Spiro, C. and Lee, H.C., 2008. Clinical application of proteomics approaches in vascular diseases. PROTEOMICS–Clinical Applications, 2(2), pp.238-250. [Google Scholar] [Crossref]
65. Macri, J., and Rapundalo, S. T. 2001. Application of proteomics to the study of cardiovascular biology. Trends in cardiovascular medicine. 11(2), 66–75. [Google Scholar] [Crossref]
66. Arrell, D.K., Neverova, I. and Van Eyk, J.E., 2001. Cardiovascular proteomics: evolution and potential. Circulation research, 88(8), pp.763-773. [Google Scholar] [Crossref]
67. Matt, P., Carrel, T., White, M., Lefkovits, I. and Van Eyk, J., 2007. Proteomics in cardiovascular surgery. The Journal of Thoracic and Cardiovascular Surgery, 133(1), pp.210-214. [Google Scholar] [Crossref]
68. Wang, J., Li, D., Dangott, L.J. and Wu, G., 2006. Proteomics and its role in nutrition research. The Journal of nutrition, 136(7), pp.1759-1762. [Google Scholar] [Crossref]
69. Kussmann, M. and Affolter, M., 2006. Proteomic methods in nutrition. Current Opinion in Clinical Nutrition & Metabolic Care, 9(5), pp.575-583. [Google Scholar] [Crossref]
70. Kim, Y. S. and Milner, J. A., 2003. Nutritional Genomics and Proteomics in Cancer Prevention. Journal of Nutrition. 133(7): 2399–2504. [Google Scholar] [Crossref]
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