Identification of Reference Genes for Analysis of microRNA Expression Patterns in Equine Chorioallantoic Membrane and Serum.
Abstract: MicroRNAs (miRNAs) have important posttranscriptional regulatory abilities, and there is considerable interest in evaluating their expression patterns in different pathophysiological states. The most common method of quantifying miRNA expression is quantitative reverse transcription PCR; however, the identification of tissue-specific and species-specific reference miRNA is a prerequisite for miRNA expression analysis. Currently, no reference genes have been described for evaluating miRNA expression in equine serum and chorioallantoic membrane (CAM) during pregnancy. The aim of the present study was to characterize reference genes for normalization of miRNA expression in CAM and serum in the pregnant equine. To identify the most stable miRNAs in serum, expression of potential candidates was evaluated in serum samples from diestrous mares, pregnant mares and geldings. To identify the most stable miRNAs in CAM, expression of potential candidates was evaluated in CAM, collected from mares at 4, 6 and 10 months of pregnancy and immediately postpartum. From a previously generated miRNA sequencing dataset, two separate lists of potential reference miRNAs were identified (serum and CAM) using the NormFinder program, in addition to the commonly used small RNA normalizers, 5S rRNA and U6 snRNA. The putative reference miRNAs were selected using geNorm and NormFinder. In case of a nonsignificant correlation between the results of ranking and stability value between these two programs, ranking from BestKeeper was also included. NormFinder and geNorm consistently identified eca-miR-21-5p, eca-let-7a-5p and eca-miR-10a-5p as the three most stable reference genes for the normalization of serum miRNAs. Within CAM samples, the average ranking obtained from the ranking of NormFinder, geNorm and BestKeeper identified eca-miR-8908a-1-5p, eca-miR-369-5p and eca-miR-106a-5p as the three most stable miRNAs. These observations provide information about equine-specific reference genes that can be used for normalizing miRNAs expression patterns in CAM and serum during the equine pregnancy.
Publication Date: 2017-12-05 PubMed ID: 29197992DOI: 10.1007/s12033-017-0047-2Google Scholar: Lookup
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Summary
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The research identifies and characterizes reference genes necessary for normalizing microRNA expression in the chorioallantoic membrane (CAM) and serum of pregnant equines. With these reference genes identified, researchers can study the specific microRNA expression patterns during equine pregnancy.
Context and Methodology
- MicroRNAs (miRNAs) play an important role in post-transcriptional regulation, and studying their expression patterns in various physiological states can provide scientists valuable insights into the cellular mechanisms at work.
- The study aimed to identify stable miRNAs for use as reference genes that can allow for the normalization of miRNA expression in serum and CAM of the pregnant equine.
- The candidate miRNA expressions in serum were evaluated using samples from diestrous mares, pregnant mares, and geldings, while the potential miRNA in CAM were evaluated at 4, 6, and 10 months of pregnancy and immediately after birth.
- The study used a previously generated miRNA sequencing dataset, the NormFinder program, and the commonly used small RNA normalizers 5S rRNA and U6 snRNA to identify possible reference miRNAs for serum and CAM separately.
Results
- Using the geNorm and NormFinder programs, the study identified eca-miR-21-5p, eca-let-7a-5p and eca-miR-10a-5p as the three most stable miRNAs that could serve as reference genes for normalization of serum miRNAs.
- The average ranking generated via NormFinder, geNorm, and BestKeeper identified eca-miR-8908a-1-5p, eca-miR-369-5p, and eca-miR-106a-5p as the three most stable miRNAs within CAM samples. In cases of non-significant correlation between the results of ranking and stability, the ranking from BestKeeper was included.
Conclusion
- The findings of this study have identified the potential reference genes for normalizing miRNA expression in the CAM and serum of pregnant equines.
- This information is important for research in miRNA expression patterns during equine pregnancy. Understandably, these findings would greatly aid in equine healthcare research, better understanding the cellular processes during equine pregnancy, and to potentially facilitate the improvements in equine fertility and reproduction sciences.
Cite This Article
APA
Dini P, Loux SC, Scoggin KE, Esteller-Vico A, Squires EL, Troedsson MHT, Daels P, Ball BA.
(2017).
Identification of Reference Genes for Analysis of microRNA Expression Patterns in Equine Chorioallantoic Membrane and Serum.
Mol Biotechnol, 60(1), 62-73.
https://doi.org/10.1007/s12033-017-0047-2 Publication
Researcher Affiliations
- Department of Veterinary Science, University of Kentucky, Lexington, KY, USA.
- Department of Reproduction, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
- Department of Veterinary Science, University of Kentucky, Lexington, KY, USA.
- Department of Veterinary Science, University of Kentucky, Lexington, KY, USA.
- Department of Veterinary Science, University of Kentucky, Lexington, KY, USA.
- Department of Veterinary Science, University of Kentucky, Lexington, KY, USA.
- Department of Veterinary Science, University of Kentucky, Lexington, KY, USA.
- Department of Reproduction, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
- Department of Veterinary Science, University of Kentucky, Lexington, KY, USA. b.a.ball@uky.edu.
MeSH Terms
- Animals
- Chorioallantoic Membrane / physiology
- Female
- Gene Expression Regulation, Developmental
- Horses / genetics
- MicroRNAs / blood
- MicroRNAs / genetics
- Pregnancy
- RNA, Small Nuclear
- Real-Time Polymerase Chain Reaction / methods
- Real-Time Polymerase Chain Reaction / standards
- Reference Standards
References
This article includes 80 references
- Donadeu FX, Schauer SN. Differential miRNA expression between equine ovulatory and anovulatory follicles.. Domest Anim Endocrinol 2013 Oct;45(3):122-5.
- Peltier HJ, Latham GJ. Normalization of microRNA expression levels in quantitative RT-PCR assays: identification of suitable reference RNA targets in normal and cancerous human solid tissues.. RNA 2008 May;14(5):844-52.
- Benz F, Roderburg C, Vargas Cardenas D, Vucur M, Gautheron J, Koch A, Zimmermann H, Janssen J, Nieuwenhuijsen L, L M, Frey N, Tacke F, Trautwein C, L T. U6 is unsuitable for normalization of serum miRNA levels in patients with sepsis or liver fibrosis.. Exp Mol Med 2013 Sep 20;45(9):e42.
- Lou Y, Yang X, Wang F, Cui Z, Huang Y. MicroRNA-21 promotes the cell proliferation, invasion and migration abilities in ovarian epithelial carcinomas through inhibiting the expression of PTEN protein.. Int J Mol Med 2010 Dec;26(6):819-27.
- Hellemans J, Vandesompele J. Selection of reliable reference genes for RT-qPCR analysis.. Methods Mol Biol 2014;1160:19-26.
- Ng YH, Rome S, Jalabert A, Forterre A, Singh H, Hincks CL, Salamonsen LA. Endometrial exosomes/microvesicles in the uterine microenvironment: a new paradigm for embryo-endometrial cross talk at implantation.. PLoS One 2013;8(3):e58502.
- Bas A, Forsberg G, Hammarström S, Hammarström ML. Utility of the housekeeping genes 18S rRNA, beta-actin and glyceraldehyde-3-phosphate-dehydrogenase for normalization in real-time quantitative reverse transcriptase-polymerase chain reaction analysis of gene expression in human T lymphocytes.. Scand J Immunol 2004 Jun;59(6):566-73.
- Matoušková P, Bártíková H, Boušová I, Hanušová V, Szotáková B, Skálová L. Reference genes for real-time PCR quantification of messenger RNAs and microRNAs in mouse model of obesity.. PLoS One 2014;9(1):e86033.
- Chen X, Liang H, Guan D, Wang C, Hu X, Cui L, Chen S, Zhang C, Zhang J, Zen K, Zhang CY. A combination of Let-7d, Let-7g and Let-7i serves as a stable reference for normalization of serum microRNAs.. PLoS One 2013;8(11):e79652.
- Zeka F, Mestdagh P, Vandesompele J. RT-qPCR-based quantification of small non-coding RNAs.. Methods Mol Biol 2015;1296:85-102.
- Galeano E, Vasconcelos TS, Ramiro DA, De Martin Vde F, Carrer H. Identification and validation of quantitative real-time reverse transcription PCR reference genes for gene expression analysis in teak (Tectona grandis L.f.).. BMC Res Notes 2014 Jul 22;7:464.
- Hoy AM, Lundie RJ, Ivens A, Quintana JF, Nausch N, Forster T, Jones F, Kabatereine NB, Dunne DW, Mutapi F, Macdonald AS, Buck AH. Parasite-derived microRNAs in host serum as novel biomarkers of helminth infection.. PLoS Negl Trop Dis 2014 Feb;8(2):e2701.
- Yang Y, Zhang X, Chen Y, Guo J, Ling H, Gao S, Su Y, Que Y, Xu L. Selection of Reference Genes for Normalization of MicroRNA Expression by RT-qPCR in Sugarcane Buds under Cold Stress.. Front Plant Sci 2016;7:86.
- Cheong AW, Pang RT, Liu WM, Kottawatta KS, Lee KF, Yeung WS. MicroRNA Let-7a and dicer are important in the activation and implantation of delayed implanting mouse embryos.. Hum Reprod 2014 Apr;29(4):750-62.
- Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, Speleman F. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.. Genome Biol 2002 Jun 18;3(7):RESEARCH0034.
- Heid CA, Stevens J, Livak KJ, Williams PM. Real time quantitative PCR.. Genome Res 1996 Oct;6(10):986-94.
- Timoneda O, Balcells I, Córdoba S, Castelló A, Sánchez A. Determination of reference microRNAs for relative quantification in porcine tissues.. PLoS One 2012;7(9):e44413.
- Salone V, Rederstorff M. Stem-loop RT-PCR based quantification of small non-coding RNAs.. Methods Mol Biol 2015;1296:103-8.
- Wotschofsky Z, Meyer HA, Jung M, Fendler A, Wagner I, Stephan C, Busch J, Erbersdobler A, Disch AC, Mollenkopf HJ, Jung K. Reference genes for the relative quantification of microRNAs in renal cell carcinomas and their metastases.. Anal Biochem 2011 Oct 15;417(2):233-41.
- Ratert N, Meyer HA, Jung M, Mollenkopf HJ, Wagner I, Miller K, Kilic E, Erbersdobler A, Weikert S, Jung K. Reference miRNAs for miRNAome analysis of urothelial carcinomas.. PLoS One 2012;7(6):e39309.
- de Planell-Saguer M, Rodicio MC. Analytical aspects of microRNA in diagnostics: a review.. Anal Chim Acta 2011 Aug 12;699(2):134-52.
- Bellingham SA, Shambrook M, Hill AF. Quantitative Analysis of Exosomal miRNA via qPCR and Digital PCR.. Methods Mol Biol 2017;1545:55-70.
- Lee S, Hwang S, Yu HJ, Oh D, Choi YJ, Kim MC, Kim Y, Ryu DY. Expression of microRNAs in Horse Plasma and Their Characteristic Nucleotide Composition.. PLoS One 2016;11(1):e0146374.
- Klie M, Debener T. Identification of superior reference genes for data normalisation of expression studies via quantitative PCR in hybrid roses (Rosa hybrida).. BMC Res Notes 2011 Nov 28;4:518.
- Arroyo JD, Chevillet JR, Kroh EM, Ruf IK, Pritchard CC, Gibson DF, Mitchell PS, Bennett CF, Pogosova-Agadjanyan EL, Stirewalt DL, Tait JF, Tewari M. Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasma.. Proc Natl Acad Sci U S A 2011 Mar 22;108(12):5003-8.
- Shen Y, Li Y, Ye F, Wang F, Wan X, Lu W, Xie X. Identification of miR-23a as a novel microRNA normalizer for relative quantification in human uterine cervical tissues.. Exp Mol Med 2011 Jun 30;43(6):358-66.
- McDermott AM, Kerin MJ, Miller N. Identification and validation of miRNAs as endogenous controls for RQ-PCR in blood specimens for breast cancer studies.. PLoS One 2013;8(12):e83718.
- Ferdous J, Li Y, Reid N, Langridge P, Shi BJ, Tricker PJ. Identification of reference genes for quantitative expression analysis of microRNAs and mRNAs in barley under various stress conditions.. PLoS One 2015;10(3):e0118503.
- Unger L, Fouché N, Leeb T, Gerber V, Pacholewska A. Optimized methods for extracting circulating small RNAs from long-term stored equine samples.. Acta Vet Scand 2016 Jun 29;58(1):44.
- Roberts TC, Coenen-Stass AM, Wood MJ. Assessment of RT-qPCR normalization strategies for accurate quantification of extracellular microRNAs in murine serum.. PLoS One 2014;9(2):e89237.
- Cuffe JSM, Holland O, Salomon C, Rice GE, Perkins AV. Review: Placental derived biomarkers of pregnancy disorders.. Placenta 2017 Jun;54:104-110.
- Castilla MÁ, Moreno-Bueno G, Romero-Pérez L, Van De Vijver K, Biscuola M, López-García MÁ, Prat J, Matías-Guiu X, Cano A, Oliva E, Palacios J. Micro-RNA signature of the epithelial-mesenchymal transition in endometrial carcinosarcoma.. J Pathol 2011 Jan;223(1):72-80.
- Huang Z, Huang D, Ni S, Peng Z, Sheng W, Du X. Plasma microRNAs are promising novel biomarkers for early detection of colorectal cancer.. Int J Cancer 2010 Jul 1;127(1):118-26.
- Chugh P, Dittmer DP. Potential pitfalls in microRNA profiling.. Wiley Interdiscip Rev RNA 2012 Sep-Oct;3(5):601-16.
- Ioannidis J, Donadeu FX. Circulating microRNA Profiles during the Bovine Oestrous Cycle.. PLoS One 2016;11(6):e0158160.
- Schwarzenbach H, da Silva AM, Calin G, Pantel K. Data Normalization Strategies for MicroRNA Quantification.. Clin Chem 2015 Nov;61(11):1333-42.
- Giraud-Triboult K, Rochon-Beaucourt C, Nissan X, Champon B, Aubert S, Piétu G. Combined mRNA and microRNA profiling reveals that miR-148a and miR-20b control human mesenchymal stem cell phenotype via EPAS1.. Physiol Genomics 2011 Jan 1;43(2):77-86.
- Jairajpuri DS, Almawi WY. MicroRNA expression pattern in pre-eclampsia (Review).. Mol Med Rep 2016 Mar;13(3):2351-8.
- Pfaffl MW, Tichopad A, Prgomet C, Neuvians TP. Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper--Excel-based tool using pair-wise correlations.. Biotechnol Lett 2004 Mar;26(6):509-15.
- Marabita F, de Candia P, Torri A, Tegnér J, Abrignani S, Rossi RL. Normalization of circulating microRNA expression data obtained by quantitative real-time RT-PCR.. Brief Bioinform 2016 Mar;17(2):204-12.
- Xia HF, Jin XH, Song PP, Cui Y, Liu CM, Ma X. Temporal and spatial regulation of let-7a in the uterus during embryo implantation in the rat.. J Reprod Dev 2010 Feb;56(1):73-8.
- Gu Y, Li M, Zhang K, Chen L, Jiang AA, Wang J, Lv X, Li X. Identification of suitable endogenous control microRNA genes in normal pig tissues.. Anim Sci J 2011 Dec;82(6):722-8.
- Tiberio P, Callari M, Angeloni V, Daidone MG, Appierto V. Challenges in using circulating miRNAs as cancer biomarkers.. Biomed Res Int 2015;2015:731479.
- Lawrie CH, Gal S, Dunlop HM, Pushkaran B, Liggins AP, Pulford K, Banham AH, Pezzella F, Boultwood J, Wainscoat JS, Hatton CS, Harris AL. Detection of elevated levels of tumour-associated microRNAs in serum of patients with diffuse large B-cell lymphoma.. Br J Haematol 2008 May;141(5):672-5.
- Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function.. Cell 2004 Jan 23;116(2):281-97.
- Torres A, Torres K, Wdowiak P, Paszkowski T, Maciejewski R. Selection and validation of endogenous controls for microRNA expression studies in endometrioid endometrial cancer tissues.. Gynecol Oncol 2013 Sep;130(3):588-94.
- Fu G, Brkić J, Hayder H, Peng C. MicroRNAs in Human Placental Development and Pregnancy Complications.. Int J Mol Sci 2013 Mar 8;14(3):5519-44.
- Rekker K, Saare M, Roost AM, Salumets A, Peters M. Circulating microRNA Profile throughout the menstrual cycle.. PLoS One 2013;8(11):e81166.
- Gee HE, Buffa FM, Camps C, Ramachandran A, Leek R, Taylor M, Patil M, Sheldon H, Betts G, Homer J, West C, Ragoussis J, Harris AL. The small-nucleolar RNAs commonly used for microRNA normalisation correlate with tumour pathology and prognosis.. Br J Cancer 2011 Mar 29;104(7):1168-77.
- Mestdagh P, Feys T, Bernard N, Guenther S, Chen C, Speleman F, Vandesompele J. High-throughput stem-loop RT-qPCR miRNA expression profiling using minute amounts of input RNA.. Nucleic Acids Res 2008 Dec;36(21):e143.
- Yabushita S, Fukamachi K, Tanaka H, Sumida K, Deguchi Y, Sukata T, Kawamura S, Uwagawa S, Suzui M, Tsuda H. Circulating microRNAs in serum of human K-ras oncogene transgenic rats with pancreatic ductal adenocarcinomas.. Pancreas 2012 Oct;41(7):1013-8.
- Wessels JM, Edwards AK, Khalaj K, Kridli RT, Bidarimath M, Tayade C. The microRNAome of pregnancy: deciphering miRNA networks at the maternal-fetal interface.. PLoS One 2013;8(11):e72264.
- Klein C, Rutllant J, Troedsson MH. Expression stability of putative reference genes in equine endometrial, testicular, and conceptus tissues.. BMC Res Notes 2011 Apr 12;4:120.
- Viswanathan SR, Mermel CH, Lu J, Lu CW, Golub TR, Daley GQ. microRNA expression during trophectoderm specification.. PLoS One 2009 Jul 3;4(7):e6143.
- De Spiegelaere W, Dern-Wieloch J, Weigel R, Schumacher V, Schorle H, Nettersheim D, Bergmann M, Brehm R, Kliesch S, Vandekerckhove L, Fink C. Reference gene validation for RT-qPCR, a note on different available software packages.. PLoS One 2015;10(3):e0122515.
- Morales-Prieto DM, Ospina-Prieto S, Chaiwangyen W, Schoenleben M, Markert UR. Pregnancy-associated miRNA-clusters.. J Reprod Immunol 2013 Mar;97(1):51-61.
- Modi BP, Washington S, Walsh SW, Jackson-Cook C, Archer KJ, Strauss JF 3rd. Expression patterns of the chromosome 21 MicroRNA cluster (miR-99a, miR-125b and let-7c) in chorioamniotic membranes.. Placenta 2017 Jan;49:1-9.
- Bae IS, Chung KY, Yi J, Kim TI, Choi HS, Cho YM, Choi I, Kim SH. Identification of reference genes for relative quantification of circulating microRNAs in bovine serum.. PLoS One 2015;10(3):e0122554.
- Pohler KG, Green JA, Moley LA, Gunewardena S, Hung WT, Payton RR, Hong X, Christenson LK, Geary TW, Smith MF. Circulating microRNA as candidates for early embryonic viability in cattle.. Mol Reprod Dev 2017 Aug;84(8):731-743.
- Mitchell MD, Peiris HN, Kobayashi M, Koh YQ, Duncombe G, Illanes SE, Rice GE, Salomon C. Placental exosomes in normal and complicated pregnancy.. Am J Obstet Gynecol 2015 Oct;213(4 Suppl):S173-81.
- Lamba V, Ghodke-Puranik Y, Guan W, Lamba JK. Identification of suitable reference genes for hepatic microRNA quantitation.. BMC Res Notes 2014 Mar 7;7:129.
- Mi QS, Weiland M, Qi RQ, Gao XH, Poisson LM, Zhou L. Identification of mouse serum miRNA endogenous references by global gene expression profiles.. PLoS One 2012;7(2):e31278.
- Sohel MM, Hoelker M, Noferesti SS, Salilew-Wondim D, Tholen E, Looft C, Rings F, Uddin MJ, Spencer TE, Schellander K, Tesfaye D. Exosomal and Non-Exosomal Transport of Extra-Cellular microRNAs in Follicular Fluid: Implications for Bovine Oocyte Developmental Competence.. PLoS One 2013;8(11):e78505.
- Ma L, Zhang XQ, Zhou DX, Cui Y, Deng LL, Yang T, Shao Y, Ding M. Feasibility of urinary microRNA profiling detection in intrahepatic cholestasis of pregnancy and its potential as a non-invasive biomarker.. Sci Rep 2016 Aug 18;6:31535.
- Busk PK. A tool for design of primers for microRNA-specific quantitative RT-qPCR.. BMC Bioinformatics 2014 Jan 28;15:29.
- Andersen CL, Jensen JL, Ørntoft TF. Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets.. Cancer Res 2004 Aug 1;64(15):5245-50.
- Wang Y, Lv Y, Gao S, Zhang Y, Sun J, Gong C, Chen X, Li G. MicroRNA Profiles in Spontaneous Decidualized Menstrual Endometrium and Early Pregnancy Decidua with Successfully Implanted Embryos.. PLoS One 2016;11(1):e0143116.
- Serafin A, Foco L, Blankenburg H, Picard A, Zanigni S, Zanon A, Pramstaller PP, Hicks AA, Schwienbacher C. Identification of a set of endogenous reference genes for miRNA expression studies in Parkinson's disease blood samples.. BMC Res Notes 2014 Oct 10;7:715.
- Palma-Vera SE, Sharbati S, Einspanier R. Identification of miRNAs in Bovine Endometrium through RNAseq and Prediction of Regulated Pathways.. Reprod Domest Anim 2015 Oct;50(5):800-6.
- Solayman MH, Langaee T, Patel A, El-Wakeel L, El-Hamamsy M, Badary O, Johnson JA. Identification of Suitable Endogenous Normalizers for qRT-PCR Analysis of Plasma microRNA Expression in Essential Hypertension.. Mol Biotechnol 2016 Mar;58(3):179-87.
- Chen C, Tan R, Wong L, Fekete R, Halsey J. Quantitation of microRNAs by real-time RT-qPCR.. Methods Mol Biol 2011;687:113-34.
- Hellemans J, Mortier G, De Paepe A, Speleman F, Vandesompele J. qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data.. Genome Biol 2007;8(2):R19.
- Synetos A, Toutouzas K, Stathogiannis K, Latsios G, Tsiamis E, Tousoulis D, Stefanadis C. MicroRNAs in arterial hypertension.. Curr Top Med Chem 2013;13(13):1527-32.
- Schmittgen TD, Zakrajsek BA. Effect of experimental treatment on housekeeping gene expression: validation by real-time, quantitative RT-PCR.. J Biochem Biophys Methods 2000 Nov 20;46(1-2):69-81.
- Mitchell PS, Parkin RK, Kroh EM, Fritz BR, Wyman SK, Pogosova-Agadjanyan EL, Peterson A, Noteboom J, O'Briant KC, Allen A, Lin DW, Urban N, Drescher CW, Knudsen BS, Stirewalt DL, Gentleman R, Vessella RL, Nelson PS, Martin DB, Tewari M. Circulating microRNAs as stable blood-based markers for cancer detection.. Proc Natl Acad Sci U S A 2008 Jul 29;105(30):10513-8.
- Zhang C, Li Q, Ren N, Li C, Wang X, Xie M, Gao Z, Pan Z, Zhao C, Ren C, Yang W. Placental miR-106a∼363 cluster is dysregulated in preeclamptic placenta.. Placenta 2015 Feb;36(2):250-2.
- Reid G, Kirschner MB, van Zandwijk N. Circulating microRNAs: Association with disease and potential use as biomarkers.. Crit Rev Oncol Hematol 2011 Nov;80(2):193-208.
- da Silveira JC, Veeramachaneni DN, Winger QA, Carnevale EM, Bouma GJ. Cell-secreted vesicles in equine ovarian follicular fluid contain miRNAs and proteins: a possible new form of cell communication within the ovarian follicle.. Biol Reprod 2012 Mar;86(3):71.
- Vickers KC, Remaley AT. Lipid-based carriers of microRNAs and intercellular communication.. Curr Opin Lipidol 2012 Apr;23(2):91-7.
- Tricarico C, Pinzani P, Bianchi S, Paglierani M, Distante V, Pazzagli M, Bustin SA, Orlando C. Quantitative real-time reverse transcription polymerase chain reaction: normalization to rRNA or single housekeeping genes is inappropriate for human tissue biopsies.. Anal Biochem 2002 Oct 15;309(2):293-300.
Citations
This article has been cited 3 times.- Dini P, El-Sheikh Ali H, Carossino M, C Loux S, Esteller-Vico A, E Scoggin K, Daels P, A Ball B. Expression Profile of the Chromosome 14 MicroRNA Cluster (C14MC) Ortholog in Equine Maternal Circulation throughout Pregnancy and Its Potential Implications.. Int J Mol Sci 2019 Dec 13;20(24).
- Dini P, Daels P, Loux SC, Esteller-Vico A, Carossino M, Scoggin KE, Ball BA. Kinetics of the chromosome 14 microRNA cluster ortholog and its potential role during placental development in the pregnant mare.. BMC Genomics 2018 Dec 20;19(1):954.
- Carossino M, Dini P, Kalbfleisch TS, Loynachan AT, Canisso IF, Shuck KM, Timoney PJ, Cook RF, Balasuriya UBR. Downregulation of MicroRNA eca-mir-128 in Seminal Exosomes and Enhanced Expression of CXCL16 in the Stallion Reproductive Tract Are Associated with Long-Term Persistence of Equine Arteritis Virus.. J Virol 2018 May 1;92(9).
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