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Autori principali: Salama, Amir, Isahaya, Satoshi, Islam, Md Rafikul, Saito, Yuyu, Hayashi, Takeshi, Kizaki, Keiichiro, Katakura, Yoshinori, Miyamoto, Kei, Yamauchi, Nobuhiko
Natura: Artículo científico
Lingua:en
Pubblicazione: Animal science journal = Nihon chikusan Gakkaiho 2025
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Accesso online:https://pubmed.ncbi.nlm.nih.gov/41082933/
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author Salama, Amir
Isahaya, Satoshi
Islam, Md Rafikul
Saito, Yuyu
Hayashi, Takeshi
Kizaki, Keiichiro
Katakura, Yoshinori
Miyamoto, Kei
Yamauchi, Nobuhiko
author_facet Salama, Amir
Isahaya, Satoshi
Islam, Md Rafikul
Saito, Yuyu
Hayashi, Takeshi
Kizaki, Keiichiro
Katakura, Yoshinori
Miyamoto, Kei
Yamauchi, Nobuhiko
Salama, Amir
Isahaya, Satoshi
Islam, Md Rafikul
Saito, Yuyu
Hayashi, Takeshi
Kizaki, Keiichiro
Katakura, Yoshinori
Miyamoto, Kei
Yamauchi, Nobuhiko
collection PubMed - marine biology
contents Bioinformatic Analysis of Bovine Uterine Extracellular Vesicles miRNA for Detection of Stable Internal Control. Salama, Amir Isahaya, Satoshi Islam, Md Rafikul Saito, Yuyu Hayashi, Takeshi Kizaki, Keiichiro Katakura, Yoshinori Miyamoto, Kei Yamauchi, Nobuhiko Animals MicroRNAs Female Cattle Extracellular Vesicles Uterus Computational Biology Pregnancy Reference Standards Real-Time Polymerase Chain Reaction Sequence Analysis, RNA The present study aimed to identify stable internal control miRNAs in the bovine uterine EVs studies, resolving a critical gap in extracellular vesicle research. During follicular, luteal, and pregnancy stages, uterine fluids were collected from cows (n = 5 per stage), and EVs were isolated via sequential centrifugation and a commercial kit. Small RNA sequencing detected 464, 429, and 434 miRNAs in follicular, luteal, and pregnancy stages, respectively. Candidate miRNAs within 25% of the mean TPM value were selected (miR-200c, let-7d, miR-125b, miR-93, miR-223, and miR-224), and U6 was added to them, then analyzed by qPCR. Stability was evaluated using NormFinder, geNorm, BestKeeper, and ΔCt algorithms. After ranking in each analysis, the Geometric Mean was calculated to get the final rank. The miRNA with the best stability ranking was miR-200c (1.41), followed by let-7d (2.12), and the lowest was U6 (7.00). This is the first study to validate miR-200c and let-7d as reliable internal controls for miRNA quantification in bovine uterine EVs, addressing the absence of standardized references. These findings enhance accuracy in future research on EVs miRNAs regulating bovine reproductive functions.
format Artículo científico
id pubmed_41082933
institution PubMed
language en
publishDate 2025
publisher Animal science journal = Nihon chikusan Gakkaiho
record_format pubmed
spellingShingle Bioinformatic Analysis of Bovine Uterine Extracellular Vesicles miRNA for Detection of Stable Internal Control.
Salama, Amir
Isahaya, Satoshi
Islam, Md Rafikul
Saito, Yuyu
Hayashi, Takeshi
Kizaki, Keiichiro
Katakura, Yoshinori
Miyamoto, Kei
Yamauchi, Nobuhiko
Animals
MicroRNAs
Female
Cattle
Extracellular Vesicles
Uterus
Computational Biology
Pregnancy
Reference Standards
Real-Time Polymerase Chain Reaction
Sequence Analysis, RNA
Bioinformatic Analysis of Bovine Uterine Extracellular Vesicles miRNA for Detection of Stable Internal Control. Salama, Amir Isahaya, Satoshi Islam, Md Rafikul Saito, Yuyu Hayashi, Takeshi Kizaki, Keiichiro Katakura, Yoshinori Miyamoto, Kei Yamauchi, Nobuhiko Animals MicroRNAs Female Cattle Extracellular Vesicles Uterus Computational Biology Pregnancy Reference Standards Real-Time Polymerase Chain Reaction Sequence Analysis, RNA The present study aimed to identify stable internal control miRNAs in the bovine uterine EVs studies, resolving a critical gap in extracellular vesicle research. During follicular, luteal, and pregnancy stages, uterine fluids were collected from cows (n = 5 per stage), and EVs were isolated via sequential centrifugation and a commercial kit. Small RNA sequencing detected 464, 429, and 434 miRNAs in follicular, luteal, and pregnancy stages, respectively. Candidate miRNAs within 25% of the mean TPM value were selected (miR-200c, let-7d, miR-125b, miR-93, miR-223, and miR-224), and U6 was added to them, then analyzed by qPCR. Stability was evaluated using NormFinder, geNorm, BestKeeper, and ΔCt algorithms. After ranking in each analysis, the Geometric Mean was calculated to get the final rank. The miRNA with the best stability ranking was miR-200c (1.41), followed by let-7d (2.12), and the lowest was U6 (7.00). This is the first study to validate miR-200c and let-7d as reliable internal controls for miRNA quantification in bovine uterine EVs, addressing the absence of standardized references. These findings enhance accuracy in future research on EVs miRNAs regulating bovine reproductive functions.
title Bioinformatic Analysis of Bovine Uterine Extracellular Vesicles miRNA for Detection of Stable Internal Control.
topic Animals
MicroRNAs
Female
Cattle
Extracellular Vesicles
Uterus
Computational Biology
Pregnancy
Reference Standards
Real-Time Polymerase Chain Reaction
Sequence Analysis, RNA
url https://pubmed.ncbi.nlm.nih.gov/41082933/