اخبار و اعلانات

 آمار

تعداد نشریات24
تعداد شماره‌ها924
تعداد مقالات8,295
تعداد مشاهده مقاله16,557,510
تعداد دریافت فایل اصل مقاله13,967,338
Dara, Mahintaj, Habibi, Azam, Azarpira, Negar, Dianatpour, Mehdi, Nejabat, Mahmood, Khosravi, Amir, Tanideh, Nader. (1401). Novel RNA extraction method from human tears. , 11(4), 167-172. doi: 10.22099/mbrc.2022.45266.1801
Mahintaj Dara; Azam Habibi; Negar Azarpira; Mehdi Dianatpour; Mahmood Nejabat; Amir Khosravi; Nader Tanideh. "Novel RNA extraction method from human tears". , 11, 4, 1401, 167-172. doi: 10.22099/mbrc.2022.45266.1801
Dara, Mahintaj, Habibi, Azam, Azarpira, Negar, Dianatpour, Mehdi, Nejabat, Mahmood, Khosravi, Amir, Tanideh, Nader. (1401). 'Novel RNA extraction method from human tears', , 11(4), pp. 167-172. doi: 10.22099/mbrc.2022.45266.1801
Dara, Mahintaj, Habibi, Azam, Azarpira, Negar, Dianatpour, Mehdi, Nejabat, Mahmood, Khosravi, Amir, Tanideh, Nader. Novel RNA extraction method from human tears. , 1401; 11(4): 167-172. doi: 10.22099/mbrc.2022.45266.1801

Novel RNA extraction method from human tears

Molecular Biology Research Communications
دوره 11، شماره 4، 2022، صفحه 167-172    اصل مقاله (269.09 K)
نوع مقاله: Original article
شناسه دیجیتال (DOI): 10.22099/mbrc.2022.45266.1801
نویسندگان
Mahintaj Dara* 1؛ Azam Habibi2؛ Negar Azarpira3؛ Mehdi Dianatpour1، 4؛ Mahmood Nejabat5؛ Amir Khosravi5؛ Nader Tanideh1
1Stem Cells Technology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
2Department of tissue engineering and cell therapy, School of Advanced Technology in Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
3Transplant Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
4Department of Medical Genetics, Shiraz University of Medical Sciences, Shiraz, Iran
5Poostchi Ophthalmology Research Center, Department of Ophthalmology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
چکیده
Human tears can be used as a noninvasive source of genetic materials and biomarkers in the prognosis and diagnosis of ocular and non-ocular diseases. The present protocol is a novel direct RNA extraction method from tears. This study aims to provide a suitable method for direct extraction of RNA from tears with high quality and quantity. In this study, we develop a TRIzol base protocol for direct RNA extraction from human tears. quality and quantity of extracted RNA measured by calculation of 260/280 UV absorption ratio using Nanodrop and real-time PCR. RNA was extracted with this modified method and a purified (260/280 UV absorption ratio between 1.8 to 2 and a high yield of total RNA, on average 95 μg, from tears was extracted. In conclusion, we developed an easy and suitable method for direct extraction of total RNA from tears with high quality and quantity.
کلیدواژه‌ها
RNA؛ Extraction method؛ Human tears؛ Biomarkers
مراجع
  1. Perumal N, Funke S, Pfeiffer N, Grus FH. Proteomics analysis of human tears from aqueous-deficient and evaporative dry eye patients. Sci Rep 2016;6:29629.
  2. Chan HW, Yang B, Wong W, Blakeley P, Seah I, Tan QSW, Wang H, Bhargava M, Lin HA, Chai CH, Mangunkusumo EA, Thet N, Yuen YS, Sethi R, Wang S, Hunziker W, Lingam G, Su X. A pilot study on microRNA profile in tear fluid to predict response to anti-VEGF treatments for diabetic macular edema. J Clin Med 2020;9:2920.
  3. Ghosh A, Zhou L, Ghosh A, Shetty R, Beuerman R. Proteomic and gene expression patterns of keratoconus. Indian J Ophthalmol 2013;61:389-391.
  4. Aqrawi LA, Galtung HK, Vestad B, Øvstebø R, Thiede B, Rusthen S, Young A, Guerreiro EM, Utheim TP, Chen X, Utheim ØA, Palm Ø, Jensen JL. Identification of potential saliva and tear biomarkers in primary Sjögren’s syndrome, utilising the extraction of extracellular vesicles and proteomics analysis. Arthritis Res Ther 2017;19:14.
  5. Barmada A, Shippy SA. Tear analysis as the next routine body fluid test. Eye 2020;34:1731-1733.
  6. Bachhuber F, Huss A, Senel M, Tumani H. Diagnostic biomarkers in tear fluid: from sampling to preanalytical processing. Sci Rep 2021;11:10064.
  7. Adigal SS, Rizvi A, Rayaroth NV, John RV, Barik A, Bhandari S, George SD, Lukose J, Kartha VB, Chidangil S. Human tear fluid analysis for clinical applications: progress and prospects. Expert Rev Mol Diagn 2021;21:767-787.
  8. Tashjian RZ, Lock I, Granger EK, Wang Y, Lee Y, Chalmers PN, Jones KB. Gene expression in torn rotator cuff tendons determined by RNA sequencing. Orthop J Sports Med 2020; 8:2325967120927480.
  9. Nakagawa A, Nakajima T, Azuma M. Tear miRNA expression analysis reveals miR-203 as a potential regulator of corneal epithelial cells. BMC Ophthalmol 2021;21:377.
  10. Guntermann A, Steinbach S, Serschnitzki B, Grotegut P, Reinehr S, Joachim SC, Schargus M, Marcus K, May C. Human tear fluid proteome dataset for usage as a spectral library and for protein modeling. Data Brief 2019;23:103742.
  11. Silva SS, Lopes C, Teixeira A, De Sousa MC, Medeiros R. Forensic miRNA: potential biomarker for body fluids? Forensic Sci Int Genet 2015;14:1-10.
  12. Inubushi S, Kawaguchi H, Mizumoto S, Kunihisa T, Baba M, Kitayama Y, Takeuchi T, Hoffman RM, Tanino H, Sasaki R. Oncogenic miRNAs identified in tear exosomes from metastatic breast cancer patients. Anticancer Res 2020;40:3091-3096.
  13. Nishtala K, Pahuja N, Shetty R, Nuijts RM, Ghosh A. Tear biomarkers for keratoconus. Eye Vis 2016;3:19.
  14. Jung JW, Park SY, Kim JS, Kim EK, Seo KY. Analysis of factors associated with the tear film lipid layer thickness in normal eyes and patients with dry eye syndrome. Invest Ophthalmol Vis Sci 2016;57:4076-4083.
  15. Downie LE. Automated tear film surface quality breakup time as a novel clinical marker for tear hyperosmolarity in dry eye disease. Invest Ophthalmol Vis Sci 2015;56:7260-7268.
  16. Khanal S, Tomlinson A, McFadyen A, Diaper C, Ramaesh K. Dry eye diagnosis. Invest Ophthalmol Vis Sci 2008;49:1407-1414.
  17. Fortinberry H, Ngo W, Postnikoff C, Nichols JJ, Pucker A. Isolation and analysis of Normal human tear extracellular vesicle RNA. Invest Ophthalmol Vis Sci 2018;59:910.
آمار
تعداد مشاهده مقاله: 3,404
تعداد دریافت فایل اصل مقاله: 5,897


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب