{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T11:17:31Z","timestamp":1791199051893,"version":"4.1.0"},"reference-count":67,"publisher":"Springer Science and Business Media LLC","issue":"1","funder":[{"DOI":"10.13039\/501100001711","name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","doi-asserted-by":"publisher","award":["31003A-162548\/1"],"award-info":[{"award-number":["31003A-162548\/1"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Swiss Institute of Equine Medicine Research"},{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR-09-GENM-006"],"award-info":[{"award-number":["ANR-09-GENM-006"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Genomics"],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1186\/s12864-016-3168-2","type":"journal-article","created":{"date-parts":[[2016,10,25]],"date-time":"2016-10-25T20:35:12Z","timestamp":1477427712000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Novel equine tissue miRNAs and breed-related miRNA expressed in serum"],"prefix":"10.1186","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4888-4883","authenticated-orcid":false,"given":"Alicja","family":"Pacholewska","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N\u00faria","family":"Mach","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xavier","family":"Mata","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anne","family":"Vaiman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laurent","family":"Schibler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric","family":"Barrey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vincent","family":"Gerber","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2016,10,26]]},"reference":[{"key":"3168_CR1","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1038\/nrclinonc.2011.76","volume":"8","author":"MA Cortez","year":"2011","unstructured":"Cortez MA, Bueso-Ramos C, Ferdin J, Lopez-Berestein G, Sood AK, Calin GA. MicroRNAs in body fluids--the mix of hormones and biomarkers. Nat Rev Clin Oncol. 2011;8:467\u201377.","journal-title":"Nat Rev Clin Oncol"},{"key":"3168_CR2","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1038\/nrg3079","volume":"12","author":"E Berezikov","year":"2011","unstructured":"Berezikov E. Evolution of microRNA diversity and regulation in animals. Nat Rev Genet. 2011;12:846\u201360.","journal-title":"Nat Rev Genet"},{"key":"3168_CR3","doi-asserted-by":"crossref","first-page":"997","DOI":"10.1038\/cr.2008.282","volume":"18","author":"X Chen","year":"2008","unstructured":"Chen X, Ba Y, Ma L, Cai X, Yin Y, Wang K, Guo J, Zhang Y, Chen J, Guo X, Li Q, Li X, Wang W, Zhang Y, Wang J, Jiang X, Xiang Y, Xu C, Zheng P, Zhang J, Li R, Zhang H, Shang X, Gong T, Ning G, Wang J, Zen K, Zhang J, Zhang C-Y. Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res. 2008;18:997\u20131006.","journal-title":"Cell Res"},{"key":"3168_CR4","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1080\/01652176.2015.1021186","volume":"35","author":"JH Kolk van der","year":"2015","unstructured":"van der Kolk JH, Pacholewska A, Gerber V. The role of microRNAs in equine medicine: a review. Vet Q. 2015;35:88\u201396.","journal-title":"Vet Q"},{"key":"3168_CR5","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1002\/wrna.1208","volume":"5","author":"H Liang","year":"2014","unstructured":"Liang H, Gong F, Zhang S, Zhang C-Y, Zen K, Chen X. The origin, function, and diagnostic potential of extracellular microRNAs in human body fluids. Wiley Interdiscip Rev RNA. 2014;5:285\u2013300.","journal-title":"Wiley Interdiscip Rev RNA"},{"key":"3168_CR6","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1186\/1476-4598-9-306","volume":"9","author":"JC Brase","year":"2010","unstructured":"Brase JC, Wuttig D, Kuner R, S\u00fcltmann H. Serum microRNAs as non-invasive biomarkers for cancer. Mol Cancer. 2010;9:306.","journal-title":"Mol Cancer"},{"key":"3168_CR7","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1155\/2013\/259454","volume":"34","author":"F Mar-Aguilar","year":"2013","unstructured":"Mar-Aguilar F, Mendoza-Ram\u00edrez JA, Malag\u00f3n-Santiago I, Espino-Silva PK, Santuario-Facio SK, Ruiz-Flores P, Rodr\u00edguez-Padilla C, Res\u00e9ndez-P\u00e9rez D. Serum circulating microRNA profiling for identification of potential breast cancer biomarkers. Dis Markers. 2013;34:163\u20139.","journal-title":"Dis Markers"},{"key":"3168_CR8","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1038\/nrrheum.2010.81","volume":"6","author":"I Alevizos","year":"2010","unstructured":"Alevizos I, Illei GG. MicroRNAs as biomarkers in rheumatic diseases. Nat Rev Rheumatol. 2010;6:391\u20138.","journal-title":"Nat Rev Rheumatol"},{"key":"3168_CR9","doi-asserted-by":"crossref","first-page":"e93662","DOI":"10.1371\/journal.pone.0093662","volume":"9","author":"MC Kim","year":"2014","unstructured":"Kim MC, Lee SW, Ryu DY, Cui FJ, Bhak J, Kim Y. Identification and Characterization of microRNAs in normal equine tissues by next generation sequencing. PLoS One. 2014;9:e93662.","journal-title":"PLoS One"},{"key":"3168_CR10","doi-asserted-by":"crossref","first-page":"798","DOI":"10.1186\/1471-2164-15-798","volume":"15","author":"C Desjardin","year":"2014","unstructured":"Desjardin C, Vaiman A, Mata X, Legendre R, Laubier J, Kennedy SP, Laloe D, Barrey E, Jacques C, Cribiu EP, Schibler L. Next-generation sequencing identifies equine cartilage and subchondral bone miRNAs and suggests their involvement in osteochondrosis physiopathology. BMC Genomics. 2014;15:798.","journal-title":"BMC Genomics"},{"key":"3168_CR11","doi-asserted-by":"crossref","first-page":"e0122011","DOI":"10.1371\/journal.pone.0122011","volume":"10","author":"A Pacholewska","year":"2015","unstructured":"Pacholewska A, Dr\u00f6gem\u00fcller M, Klukowska-R\u00f6tzler J, Lanz S, Hamza E, Dermitzakis ET, Marti E, Gerber V, Leeb T, Jagannathan V. The transcriptome of equine peripheral blood mononuclear cells. PLoS One. 2015;10:e0122011.","journal-title":"PLoS One"},{"key":"3168_CR12","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1186\/1756-0500-7-403","volume":"7","author":"T Buza","year":"2014","unstructured":"Buza T, Arick M, Wang H, Peterson DG. Computational prediction of disease microRNAs in domestic animals. BMC Res Notes. 2014;7:403.","journal-title":"BMC Res Notes"},{"issue":"Database issue","key":"3168_CR13","doi-asserted-by":"crossref","first-page":"D140","DOI":"10.1093\/nar\/gkj112","volume":"34","author":"S Griffiths-Jones","year":"2006","unstructured":"Griffiths-Jones S, Grocock RJ, van Dongen S, Bateman A, Enright AJ. miRBase: microRNA sequences, targets and gene nomenclature. Nucleic Acids Res. 2006;34(Database issue):D140\u20134.","journal-title":"Nucleic Acids Res"},{"key":"3168_CR14","doi-asserted-by":"crossref","first-page":"9549","DOI":"10.1038\/srep09549","volume":"5","author":"J Li","year":"2015","unstructured":"Li J, Chen Z, Zhao J, Fang L, Fang R, Xiao J, Chen X, Zhou A, Zhang Y, Ren L, Hu X, Zhao Y, Zhang S, Li N. Difference in microRNA expression and editing profile of lung tissues from different pig breeds related to immune responses to HP-PRRSV. Sci Rep. 2015;5:9549.","journal-title":"Sci Rep"},{"key":"3168_CR15","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1038\/nbt1394","volume":"26","author":"MR Friedl\u00e4nder","year":"2008","unstructured":"Friedl\u00e4nder MR, Chen W, Adamidi C, Maaskola J, Einspanier R, Knespel S, Rajewsky N. Discovering microRNAs from deep sequencing data using miRDeep. Nat Biotechnol. 2008;26:407\u201315.","journal-title":"Nat Biotechnol"},{"key":"3168_CR16","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1093\/nar\/gkr688","volume":"40","author":"MR Friedl\u00e4nder","year":"2012","unstructured":"Friedl\u00e4nder MR, MacKowiak SD, Li N, Chen W, Rajewsky N. MiRDeep2 accurately identifies known and hundreds of novel microRNA genes in seven animal clades. Nucleic Acids Res. 2012;40:37\u201352.","journal-title":"Nucleic Acids Res"},{"key":"3168_CR17","doi-asserted-by":"crossref","first-page":"e124","DOI":"10.1093\/nar\/gku598","volume":"42","author":"TB Hansen","year":"2014","unstructured":"Hansen TB, Ven\u00f8 MT, Kjems J, Damgaard CK. MiRdentify: High stringency miRNA predictor identifies several novel animal miRNAs. Nucleic Acids Res. 2014;42:e124.","journal-title":"Nucleic Acids Res"},{"key":"3168_CR18","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1101\/gr.8.3.186","volume":"8","author":"B Ewing","year":"1998","unstructured":"Ewing B, Green P. Base-calling of automated sequencer traces using phred. II. error probabilities. Genome Res. 1998;8:186\u201394.","journal-title":"Genome Res"},{"key":"3168_CR19","doi-asserted-by":"crossref","first-page":"e107259","DOI":"10.1371\/journal.pone.0107259","volume":"9","author":"M Spornraft","year":"2014","unstructured":"Spornraft M, Kirchner B, Haase B, Benes V, Pfaffl MW, Riedmaier I. Optimization of Extraction of Circulating RNAs from Plasma \u2013 Enabling Small RNA Sequencing. PLoS One. 2014;9:e107259.","journal-title":"PLoS One"},{"key":"3168_CR20","first-page":"1","volume":"58","author":"L Unger","year":"2016","unstructured":"Unger L, Fouch\u00e9 N, Leeb T, Gerber V, Pacholewska A. Optimized methods for extracting circulating small RNAs from long-term stored equine samples. Acta Vet Scand. 2016;58:1\u20135.","journal-title":"Acta Vet Scand"},{"key":"3168_CR21","doi-asserted-by":"crossref","first-page":"R25","DOI":"10.1186\/gb-2009-10-3-r25","volume":"10","author":"B Langmead","year":"2009","unstructured":"Langmead B, Trapnell C, Pop M, Salzberg S. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol. 2009;10:R25.","journal-title":"Genome Biol"},{"key":"3168_CR22","doi-asserted-by":"crossref","first-page":"2697","DOI":"10.1093\/nar\/gki567","volume":"33","author":"Y Altuvia","year":"2005","unstructured":"Altuvia Y, Landgraf P, Lithwick G, Elefant N, Pfeffer S, Aravin A, Brownstein MJ, Tuschl T, Margalit H. Clustering and conservation patterns of human microRNAs. Nucleic Acids Res. 2005;33:2697\u2013706.","journal-title":"Nucleic Acids Res"},{"key":"3168_CR23","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.expneurol.2011.12.004","volume":"235","author":"SS H\u00e9bert","year":"2012","unstructured":"H\u00e9bert SS, Nelson PT. Studying microRNAs in the brain: Technical lessons learned from the first ten years. Exp Neurol. 2012;235:397\u2013401.","journal-title":"Exp Neurol"},{"key":"3168_CR24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1471-2164-15-137","volume":"15","author":"JM Romao","year":"2014","unstructured":"Romao JM, Jin W, He M, McAllister T, Guan LL. MicroRNAs in bovine adipogenesis: genomic context, expression and function. BMC Genomics. 2014;15:1\u201315.","journal-title":"BMC Genomics"},{"key":"3168_CR25","doi-asserted-by":"crossref","first-page":"13608","DOI":"10.1038\/srep13608","volume":"5","author":"Y Wang","year":"2015","unstructured":"Wang Y, Jiang F, Wang H, Song T, Wei Y, Yang M, Zhang J, Kang L. Evidence for the expression of abundant microRNAs in the locust genome. Sci Rep. 2015;5:13608.","journal-title":"Sci Rep"},{"key":"3168_CR26","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1093\/bioinformatics\/btp616","volume":"26","author":"MD Robinson","year":"2010","unstructured":"Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26:139\u201340.","journal-title":"Bioinformatics"},{"key":"3168_CR27","doi-asserted-by":"crossref","first-page":"748","DOI":"10.1007\/s10517-016-3300-y","volume":"160","author":"MY Shkurnikov","year":"2016","unstructured":"Shkurnikov MY, Knyazev EN, Fomicheva KA, Mikhailenko DS, Nyushko KM, Saribekyan EK, Samatov TR, Alekseev BY. Analysis of plasma microRNA associated with hemolysis. Bull Exp Biol Med. 2016;160:748\u201350.","journal-title":"Bull Exp Biol Med"},{"key":"3168_CR28","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1016\/S0092-8674(03)01018-3","volume":"115","author":"BP Lewis","year":"2003","unstructured":"Lewis BP, Shih IH, Jones-Rhoades MW, Bartel DP, Burge CB. Prediction of mammalian microRNA targets. Cell. 2003;115:787\u201398.","journal-title":"Cell"},{"key":"3168_CR29","doi-asserted-by":"crossref","first-page":"W478","DOI":"10.1093\/nar\/gks402","volume":"40","author":"D Tabas-Madrid","year":"2012","unstructured":"Tabas-Madrid D, Nogales-Cadenas R, Pascual-Montano A. GeneCodiS4: A non-redundant and modular enrichment analysis tool for functional genomics. Nucleic Acids Res. 2012;40:W478\u201383.","journal-title":"Nucleic Acids Res"},{"key":"3168_CR30","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1093\/nar\/28.1.27","volume":"28","author":"M Kanehisa","year":"2000","unstructured":"Kanehisa M, Goto S. Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res. 2000;28:27\u201330.","journal-title":"Nucleic Acids Res"},{"key":"3168_CR31","doi-asserted-by":"crossref","first-page":"1075","DOI":"10.1038\/nsmb.2091","volume":"18","author":"E Valen","year":"2011","unstructured":"Valen E, Preker P, Andersen PR, Zhao X, Chen Y, Ender C, Dueck A, Meister G, Sandelin A, Jensen TH. Biogenic mechanisms and utilization of small RNAs derived from human protein-coding genes. Nat Struct Mol Biol. 2011;18:1075\u201382.","journal-title":"Nat Struct Mol Biol"},{"key":"3168_CR32","doi-asserted-by":"crossref","first-page":"22932","DOI":"10.1038\/srep22932","volume":"6","author":"N Mach","year":"2016","unstructured":"Mach N, Plancade S, Pacholewska A, Lecardonnel J, Rivi\u00e8re J, Moroldo M, Vaiman A, Morgenthaler C, Beinat M, Nevot A, Robert C, Barrey E. Integrated mRNA and miRNA expression profiling in blood reveals candidate biomarkers associated with endurance exercise in the horse. Sci Rep. 2016;6:22932.","journal-title":"Sci Rep"},{"key":"3168_CR33","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1038\/nature01763","volume":"424","author":"M Levine","year":"2003","unstructured":"Levine M, Tjian R. Transcription regulation and animal diversity. Nature. 2003;424:147\u201351.","journal-title":"Nature"},{"key":"3168_CR34","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1038\/nature09783","volume":"469","author":"EM Small","year":"2011","unstructured":"Small EM, Olson EN. Pervasive roles of microRNAs in cardiovascular biology. Nature. 2011;469:336\u201342.","journal-title":"Nature"},{"key":"3168_CR35","doi-asserted-by":"crossref","first-page":"239pS4","DOI":"10.1126\/scitranslmed.3009008","volume":"6","author":"EN Olson","year":"2014","unstructured":"Olson EN. MicroRNAs as therapeutic targets and biomarkers of cardiovascular disease. Sci Transl Med. 2014;6:239pS4.","journal-title":"Sci Transl Med"},{"key":"3168_CR36","doi-asserted-by":"crossref","first-page":"5150","DOI":"10.1038\/srep05150","volume":"4","author":"Z Guo","year":"2014","unstructured":"Guo Z, Maki M, Ding R, Yang Y, Zhang B, Xiong L. Genome-wide survey of tissue-specific microRNA and transcription factor regulatory networks in 12 tissues. Sci Rep. 2014;4:5150.","journal-title":"Sci Rep"},{"key":"3168_CR37","doi-asserted-by":"crossref","first-page":"e0146374","DOI":"10.1371\/journal.pone.0146374","volume":"11","author":"S Lee","year":"2016","unstructured":"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:e0146374.","journal-title":"PLoS One"},{"key":"3168_CR38","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1038\/nrm3611","volume":"14","author":"SL Ameres","year":"2013","unstructured":"Ameres SL, Zamore PD. Diversifying microRNA sequence and function. Nat Rev Mol Cell Biol. 2013;14:475\u201388.","journal-title":"Nat Rev Mol Cell Biol"},{"key":"3168_CR39","doi-asserted-by":"crossref","first-page":"R126","DOI":"10.1186\/gb-2011-12-12-r126","volume":"12","author":"N Cloonan","year":"2011","unstructured":"Cloonan N, Wani S, Xu Q, Gu J, Lea K, Heater S, Barbacioru C, Steptoe AL, Martin HC, Nourbakhsh E, Krishnan K, Gardiner B, Wang X, Nones K, Steen JA, Matigan N, Wood DL, Kassahn KS, Waddell N, Shepherd J, Lee C, Ichikawa J, McKernan K, Bramlett K, Kuersten S, Grimmond SM. MicroRNAs and their isomiRs function cooperatively to target common biological pathways. Genome Biol. 2011;12:R126.","journal-title":"Genome Biol"},{"key":"3168_CR40","volume-title":"International Symposium on Microgenomics","author":"MW Pfaffl","year":"2016","unstructured":"Pfaffl MW, Kirchner B. Limitations and Challenges in MicroGenomics. What we can learn from single-cell and exosome expression profiling? In: International Symposium on Microgenomics. 2016."},{"key":"3168_CR41","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1111\/j.1582-4934.2008.00524.x","volume":"13","author":"I Eisenberg","year":"2009","unstructured":"Eisenberg I, Alexander MS, Kunkel LM. miRNAS in normal and diseased skeletal muscle. J Cell Mol Med. 2009;13:2\u201311.","journal-title":"J Cell Mol Med"},{"key":"3168_CR42","doi-asserted-by":"crossref","first-page":"e54997","DOI":"10.1371\/journal.pone.0054997","volume":"8","author":"JL Petersen","year":"2013","unstructured":"Petersen JL, Mickelson JR, Cothran EG, Andersson LS, Axelsson J, Bailey E, Bannasch D, Binns MM, Borges AS, Brama P, da C\u00e2mara Machado A, Distl O, Felicetti M, Fox-Clipsham L, Graves KT, Gu\u00e9rin G, Haase B, Hasegawa T, Hemmann K, Hill EW, Leeb T, Lindgren G, Lohi H, Lopes MS, McGivney BA, Mikko S, Orr N, Penedo MCT, Piercy RJ, Raekallio M, et al. Genetic diversity in the modern horse illustrated from genome-wide SNP data. PLoS One. 2013;8:e54997.","journal-title":"PLoS One"},{"key":"3168_CR43","doi-asserted-by":"crossref","first-page":"106","DOI":"10.4161\/rna.1.2.1066","volume":"1","author":"J Chang","year":"2004","unstructured":"Chang J, Nicolas E, Marks D, Sander C, Lerro A, Buendia MA, Xu C, Mason WS, Moloshok T, Bort R, Zaret KS, Taylor JM. miR-122, a mammalian liver-specific microRNA, is processed from hcr mRNA and may downregulate the high affinity cationic amino acid transporter CAT-1. RNA Biol. 2004;1:106\u201313.","journal-title":"RNA Biol"},{"key":"3168_CR44","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1016\/S0960-9822(02)00809-6","volume":"12","author":"M Lagos-Quintana","year":"2002","unstructured":"Lagos-Quintana M, Rauhut R, Yalcin A, Meyer J, Lendeckel W, Tuschl T. Identification of tissue-specific MicroRNAs from mouse. Curr Biol. 2002;12:735\u20139.","journal-title":"Curr Biol"},{"key":"3168_CR45","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1038\/ncb3094","volume":"17","author":"MY Fong","year":"2015","unstructured":"Fong MY, Zhou W, Liu L, Alontaga AY, Chandra M, Ashby J, Chow A, O\u2019Connor ST, Li S, Chin AR, Somlo G, Palomares M, Li Z, Tremblay JR, Tsuyada A, Sun G, Reid MA, Wu X, Swiderski P, Ren X, Shi Y, Kong M, Zhong W, Chen Y, Wang SE. Breast-cancer-secreted miR-122 reprograms glucose metabolism in premetastatic niche to promote metastasis. Nat Cell Biol. 2015;17:183\u201394.","journal-title":"Nat Cell Biol"},{"key":"3168_CR46","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.cmet.2006.01.005","volume":"3","author":"C Esau","year":"2006","unstructured":"Esau C, Davis S, Murray SF, Yu XX, Pandey SK, Pear M, Watts L, Booten SL, Graham M, McKay R, Subramaniam A, Propp S, Lollo BA, Freier S, Bennett CF, Bhanot S, Monia BP. miR-122 regulation of lipid metabolism revealed by in vivo antisense targeting. Cell Metab. 2006;3:87\u201398.","journal-title":"Cell Metab"},{"key":"3168_CR47","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.domaniend.2013.11.001","volume":"47","author":"NJ Bamford","year":"2014","unstructured":"Bamford NJ, Potter SJ, Harris PA, Bailey SR. Breed differences in insulin sensitivity and insulinemic responses to oral glucose in horses and ponies of moderate body condition score. Domest Anim Endocrinol. 2014;47:101\u20137.","journal-title":"Domest Anim Endocrinol"},{"key":"3168_CR48","first-page":"1224","volume":"154","author":"D Patel","year":"2013","unstructured":"Patel D, Boufraqech M, Jain M, Zhang L, He M, Gesuwan K, Gulati N, Nilubol N, Fojo T, Kebebew E. MiR-34a and miR-483-5p are candidate serum biomarkers for adrenocortical tumors. Surg (United States). 2013;154:1224\u20139.","journal-title":"Surg (United States)"},{"key":"3168_CR49","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1530\/ERC-13-0051","volume":"20","author":"O Chabre","year":"2013","unstructured":"Chabre O, Lib\u00e9 R, Assie G, Barreau O, Bertherat J, Bertagna X, Feige JJ, Cherradi N. Serum miR-483-5p and miR-195 are predictive of recurrence risk in adrenocortical cancer patients. Endocr Relat Cancer. 2013;20:579\u201394.","journal-title":"Endocr Relat Cancer"},{"key":"3168_CR50","doi-asserted-by":"crossref","first-page":"e0140749","DOI":"10.1371\/journal.pone.0140749","volume":"10","author":"M Frischknecht","year":"2015","unstructured":"Frischknecht M, Jagannathan V, Plattet P, Neuditschko M, Signer-Hasler H, Bachmann I, Pacholewska A, Dr\u00f6gem\u00fcller C, Dietschi E, Flury C, Rieder S, Leeb T. A non-synonymous HMGA2 variant decreases height in shetland ponies and other small horses. PLoS One. 2015;10:e0140749.","journal-title":"PLoS One"},{"key":"3168_CR51","doi-asserted-by":"crossref","first-page":"9995","DOI":"10.1038\/srep09995","volume":"5","author":"Y Lin","year":"2015","unstructured":"Lin Y, Liu AY, Fan C, Zheng H, Li Y, Zhang C, Wu S, Yu D, Huang Z, Liu F, Luo Q, Yang CJ, Ouyang G. MicroRNA-33b Inhibits Breast Cancer Metastasis by Targeting HMGA2, SALL4 and Twist1. Sci Rep. 2015;5:9995.","journal-title":"Sci Rep"},{"key":"3168_CR52","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1186\/1746-6148-5-29","volume":"5","author":"E Barrey","year":"2009","unstructured":"Barrey E, Mucher E, Jeansoule N, Larcher T, Guigand L, Herszberg B, Chaffaux S, Gu\u00e9rin G, Mata X, Benech P, Canale M, Alibert O, Maltere P, Gidrol X. Gene expression profiling in equine polysaccharide storage myopathy revealed inflammation, glycogenesis inhibition, hypoxia and mitochondrial dysfunctions. BMC Vet Res. 2009;5:29.","journal-title":"BMC Vet Res"},{"issue":"SUPPL 38","key":"3168_CR53","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1111\/j.2042-3306.2010.00267.x","volume":"42","author":"E Barrey","year":"2010","unstructured":"Barrey E, Bonnamy B, Barrey EJ, Mata X, Chaffaux S, Guerin G. Muscular microRNA expressions in healthy and myopathic horses suffering from polysaccharide storage myopathy or recurrent exertional rhabdomyolysis. Equine Vet J. 2010;42 SUPPL 38:303\u201310.","journal-title":"Equine Vet J"},{"key":"3168_CR54","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/j.vetimm.2013.07.005","volume":"155","author":"S Lanz","year":"2013","unstructured":"Lanz S, Gerber V, Marti E, Rettmer H, Klukowska-R\u00f6tzler J, Gottstein B, Matthews JB, Pirie S, Hamza E. Effect of hay dust extract and cyathostomin antigen stimulation on cytokine expression by PBMC in horses with recurrent airway obstruction. Vet Immunol Immunopathol. 2013;155:229\u201337.","journal-title":"Vet Immunol Immunopathol"},{"key":"3168_CR55","first-page":"94","volume":"4","author":"MB Kirschner","year":"2013","unstructured":"Kirschner MB, Edelman JJB, Kao SCH, Vallely MP, Van Zandwijk N, Reid G. The impact of hemolysis on cell-free microRNA biomarkers. Front Genet. 2013;4:94.","journal-title":"Front Genet"},{"key":"3168_CR56","doi-asserted-by":"crossref","first-page":"e24145","DOI":"10.1371\/journal.pone.0024145","volume":"6","author":"MB Kirschner","year":"2011","unstructured":"Kirschner MB, Kao SC, Edelman JJ, Armstrong NJ, Vallely MP, van Zandwijk N, Reid G. Haemolysis during sample preparation alters microRNA content of plasma. PLoS One. 2011;6:e24145.","journal-title":"PLoS One"},{"key":"3168_CR57","unstructured":"Andrews S. FastQC: a quality control tool for high throughput sequence data. 2010. Available online at: http:\/\/www.bioinformatics.babraham.ac.uk\/projects\/fastqc ."},{"key":"3168_CR58","doi-asserted-by":"crossref","first-page":"10","DOI":"10.14806\/ej.17.1.200","volume":"17","author":"M Martin","year":"2011","unstructured":"Martin M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J. 2011;17:10.","journal-title":"EMBnet J"},{"key":"3168_CR59","doi-asserted-by":"crossref","first-page":"865","DOI":"10.1126\/science.1178158","volume":"326","author":"CM Wade","year":"2009","unstructured":"Wade CM, Giulotto E, Sigurdsson S, Zoli M, Gnerre S, Imsland F, Lear TL, Adelson DL, Bailey E, Bellone RR, Bl\u00f6cker H, Distl O, Edgar RC, Garber M, Leeb T, Mauceli E, MacLeod JN, Penedo MCT, Raison JM, Sharpe T, Vogel J, Andersson L, Antczak DF, Biagi T, Binns MM, Chowdhary BP, Coleman SJ, Della Valle G, Fryc S, Gu\u00e9rin G, et al. Genome sequence, comparative analysis, and population genetics of the domestic horse. Science. 2009;326:865\u20137.","journal-title":"Science"},{"key":"3168_CR60","doi-asserted-by":"crossref","first-page":"950","DOI":"10.1093\/bib\/bbv019","volume":"16","author":"S Tam","year":"2015","unstructured":"Tam S, Tsao MS, McPherson JD. Optimization of miRNA-seq data preprocessing. Brief Bioinform. 2015;16:950\u201363.","journal-title":"Brief Bioinform"},{"key":"3168_CR61","doi-asserted-by":"crossref","first-page":"2184","DOI":"10.1093\/bioinformatics\/bts356","volume":"28","author":"L Wang","year":"2012","unstructured":"Wang L, Wang S, Li W. RSeQC: quality control of RNA-seq experiments. Bioinformatics. 2012;28:2184\u20135.","journal-title":"Bioinformatics"},{"key":"3168_CR62","unstructured":"Smit A, Hubley R, Green P. RepeatMasker Open-3.0. 1996-2010. http:\/\/www.repeatmasker.org ."},{"key":"3168_CR63","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1016\/S0168-9525(00)02093-X","volume":"16","author":"J Jurka","year":"2000","unstructured":"Jurka J. Repbase Update: A database and an electronic journal of repetitive elements. Trends Genet. 2000;16:418\u201320.","journal-title":"Trends Genet"},{"key":"3168_CR64","doi-asserted-by":"crossref","first-page":"D154","DOI":"10.1093\/nar\/gkm952","volume":"36","author":"S Griffiths-Jones","year":"2008","unstructured":"Griffiths-Jones S, Saini HK, van Dongen S, Enright AJ. miRBase: tools for microRNA genomics. Nucleic Acids Res. 2008;36:D154\u20138.","journal-title":"Nucleic Acids Res"},{"issue":"Web Server issu","key":"3168_CR65","doi-asserted-by":"crossref","first-page":"W70","DOI":"10.1093\/nar\/gkn188","volume":"36","author":"AR Gruber","year":"2008","unstructured":"Gruber AR, Lorenz R, Bernhart SH, Neub\u04e7ck R, Hofacker IL. The Vienna RNA websuite. Nucleic Acids Res. 2008;36(Web Server issue):W70\u20134.","journal-title":"Nucleic Acids Res"},{"key":"3168_CR66","doi-asserted-by":"crossref","first-page":"R25","DOI":"10.1186\/gb-2010-11-3-r25","volume":"11","author":"MD Robinson","year":"2010","unstructured":"Robinson MD, Oshlack A. A scaling normalization method for differential expression analysis of RNA-seq data. Genome Biol. 2010;11:R25.","journal-title":"Genome Biol"},{"key":"3168_CR67","doi-asserted-by":"crossref","first-page":"2881","DOI":"10.1093\/bioinformatics\/btm453","volume":"23","author":"MD Robinson","year":"2007","unstructured":"Robinson MD, Smyth GK. Moderated statistical tests for assessing differences in tag abundance. Bioinformatics. 2007;23:2881\u20137.","journal-title":"Bioinformatics"}],"container-title":["BMC Genomics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12864-016-3168-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,14]],"date-time":"2019-09-14T21:24:41Z","timestamp":1568496281000},"score":1,"resource":{"primary":{"URL":"http:\/\/bmcgenomics.biomedcentral.com\/articles\/10.1186\/s12864-016-3168-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,26]]},"references-count":67,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,12]]}},"alternative-id":["3168"],"URL":"https:\/\/doi.org\/10.1186\/s12864-016-3168-2","relation":{},"ISSN":["1471-2164"],"issn-type":[{"value":"1471-2164","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,10,26]]},"article-number":"831"}}