Journals / Endokrinolojide Diyalog Dergisi / 2011 / Cilt: 8 - Sayı: 4

What is proteomics? Proteomics in thyroid diseases research

Proteomiks nedir? Tiroid hastalıklarıyla ilgili araştırmalarda proteomiks

Pages
166–176
Publication Date
2022-10-11
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

We conclude that there is a need for further studies to identify useful markers for thyroid tumors which will also serve to deepen our understanding of thyroid cancer biology.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In recent years “OMICS” technologies are one of developing fields and are becoming widely used in cancer research especially for the discovery of biomarkers facilitating diagnosis and prognosis of cancer patients.
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Key Findings & Data:Scientists have long been searching for useful markers in patients with thyroid neoplasms.
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Conclusion & Impact:We conclude that there is a need for further studies to identify useful markers for thyroid tumors which will also serve to deepen our understanding of thyroid cancer biology.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In recent years “OMICS” technologies are one of developing fields and are becoming widely used in cancer research especially for the discovery of biomarkers facilitating diagnosis and prognosis of cancer patients. Scientists have long been searching for useful markers in patients with thyroid neoplasms. The major goal of this research is to discover markers to distinguish between malignant and benign thyroid tumors prior to surgery. In this manuscript we aimed to discuss the application of proteomics to thyroid tumor research. Firstly we gave a definition of proteomics and secondly we summarized the results of published proteomics studies on human thyroid disease. We conclude that there is a need for further studies to identify useful markers for thyroid tumors which will also serve to deepen our understanding of thyroid cancer biology.

Özet

Son yıllarda “OMICS” teknolojileri gelişen alanlardan biridir. Özellikle kanser tanı ve prognozunu kolaylaştıran biyoişaretleyicilerin belirlenebilmesi için kanser araştırmalarında geniş şekilde kullanılmaktadır. Bu araştırmaların esas amacı cerrahi öncesi malign ve benign neoplazmalar arasında ayırıcı tanı yapabilmek için yöntem geliştirmektir. Bu makalede biz tiroid tümör araştırmalarında proteomiks uygulamalarını tartışmayı amaçladık. İlk olarak proteomiks nedir onu anlattık. İkinci olarak da insanlarda tiroid hastalıkları ile ilgili yayınlanmış proteomiks çalışmalarının sonuçlarını özetledik. Sonuç olarak tiroid neoplazmları için işe yarar işaretleyicileri belirlemek ve tiroid kanser biyolojisi ile ilgili bilgilerimizi derinleştirmek için daha fazla çalışmaya gereksinim olduğu kanaatine vardık.

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Cite This Article

KASAP, M., AKPINAR, G., CANTÜRK, N. Z., CANTÜRK, Z. (2022). What is proteomics? Proteomics in thyroid diseases research. Endokrinolojide Diyalog Dergisi, Cilt: 8 - Sayı: 4, 166–176. https://ajindex.com/articles/500773

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References (17)

  1. O'Farrell PH. High resolution two-dimensional electrophoresis of proteins. J Biol Chem 1975;250(10):4007-4021
  2. Wasinger VC, Cordwell SJ, Cerpa-Poljak A, et al. Progress with gene-product mapping of the Mollicules: Mycoplasma genitalium. Electrophoresis 1995;7(7):1090–1094
  3. Tambor V, Fučíková A, Lenčo J, et al. Application of proteomics in biomarker discovery: a primer for the clinician. Physiol Res 2010;59(4):471-497 4. Nair KS, Jaleel A, Asmann YW, Short KR, Raghavakaimal S. Proteomic research: potential opportunities for clinical and physiological investigators. Am J Physiol Endocrinol Metab 2004; 286(6):863-874
  4. Kosak ST, Groudine M. Gene order and dynamic domains, Science 2004;306:644–647
  5. Cho WC. Proteomics technologies and challenges. Genomics Proteomics Bioinformatics 2007;5(2):77-85
  6. Gry M, Rimini R, Strömberg S, et al. Correlations between RNA and protein expression profiles in 23 human cell lines. BMC Genomics 2009;10:365
  7. Hattori M. Finishing the euchromatic sequence of the human genome. Tanpakushitsu Kakusan Koso. 2005;50(2):162-168
  8. Boja E, Hiltke T, Rivers R, et al. Evolution of clinical proteomics and its role in medicine. J Proteome Res 2011; 10(1):66-84
  9. Bjellqvist B, Ek K, Righetti PG, et al. Isoelectric focusing in immobilized pH gradients: principle, methodology and some applications. J Biochem Biophys Methods 1982; 6:317-339
  10. Laemmli UK. Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature 1970; 227: 680-685
  11. Unlü M, Morgan ME, Minden JS. Difference gel electrophoresis: a single gel method for detecting changes in protein extracts. Electrophoresis. 1997;18(11):2071-2077
  12. Minden JS, Dowd SR, Meyer HE, Stühler K. Difference gel electrophoresis. Electrophoresis 2009; 30:156-161
  13. Tannu NS, Hemby SE. Methods for proteomics in neuroscience. Prog Brain Res 2006;158:41-82
  14. Ong SE, Blagoev B, Kratchmarova I, et al. Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics. Mol Cell Proteomics 2002;1:376–386
  15. Rigbolt KT, Blagoev B. Proteome-wide quantitation by SILAC. Methods Mol Biol 2010; 658:187-204
  16. Gundry RL, White MY, Murray CI, et al. Preparation of proteins and peptides for mass spectrometry analysis in a bottom-up proteomics workflow. Curr Protoc Mol Biol 2009;Chapter 10:Unit10.25
  17. Bantscheff M, Schirle M, Sweetman G, Rick J, Kuster B. Quantitative mass spectrometry in proteom