Macedonian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Computational Biology and Chemistry 2019-Jun

Cross-Kingdom Gene regulation via miRNAs of Hypericum perforatum (St. John's wort) flower dietetically absorbed: An in silico approach to define potential biomarkers for prostate cancer.

Само регистрираните корисници можат да преведуваат статии
Пријавете се / пријавете се
Врската е зачувана во таблата со исечоци
Sercan Ergün

Клучни зборови

Апстракт

Prostate cancer (PCa) is the most frequent type of cancer in men. Hypericum perforatum (H. Perforatum) extract (HPE) administration provides remarkable decrease of PCa development. H. perforatum contains 7 conserved miRNAs (Hyp-miR-156a, Hyp-miR-156b, Hyp-miR-166, Hyp-miR-390, Hyp-miR-394, Hyp-miR-396 and Hyp-miR-414) with different targets. In this study, we aimed to investigate cross-kingdom gene regulation via miRNAs of H. perforatum flower dietetically absorbed in manner of an in silico approach to define potential biomarkers for PCa. psRNATarget database was used to find human genes targeted by 7 pre-defined H. perforatum miRNAs. We defined the mostly affected gene families from these miRNAs as ZNF, TMEM, SLC and FAM gene families. GeneMANIA database was used to define the most affected genes (TMEM41B and SLC4A7) from these 7 miRNAs. cBioPortal database was used to define alteration frequencies of TMEM41B and SLC4A7 on different types of PCa and to measure the mutual interaction potency and significance of co-occurence in PCa. This analysis showed that neuroendocrine prostate cancer (NEPC) had the highest total mutation frequency (22%) of TMEM41B and SLC4A7 genes. Also, TMEM41B and SLC4A7 genes had an average 2.1% pathway change potential among all different types of PCa. Moreover, TMEM41B and SLC4A7 gene pair was found significantly co-occurrent in PCa (p < 0.001). Finally, via GEPIA database, we used Spearman correlation analysis to measure the correlation degree of TMEM41B and SLC4A7 genes in PCa and found their significant correlation with PCa (p = 1.2 × 10-12, R = 0.28). All in all, it was proved in silico and supported with previously known clinical data that SLC4A7 and TMEM41B potentially have a significant and critical tumor suppressive role for PCa, and show this effect combinatorily working together. This is the first study correlating SLC4A7 and TMEM41B with PCa significantly.

Придружете се на нашата
страница на Facebook

Најкомплетната база на податоци за лековити билки поддржана од науката

  • Работи на 55 јазици
  • Лекови од билки поддржани од науката
  • Препознавање на билки по слика
  • Интерактивна GPS мапа - означете ги билките на локацијата (наскоро)
  • Прочитајте научни публикации поврзани со вашето пребарување
  • Пребарувајте лековити билки според нивните ефекти
  • Организирајте ги вашите интереси и останете во тек со истражувањето на новостите, клиничките испитувања и патентите

Напишете симптом или болест и прочитајте за билки што можат да помогнат, напишете билка и видете болести и симптоми против кои се користи.
* Сите информации се базираат на објавени научни истражувања

Google Play badgeApp Store badge