Detailed characteristics of the known and putative novel miRNAs in cat urine for the 35 samples based on RNAseq data

Gòdia, Marta; Brogaard, Louise; Mármol-Sánchez, Emilio; Langhorn, Rebecca; Nordang Kieler, Ida; Reezigt, Bert Jan; Nielsen, Lise Nikolic; Jessen, Lisbeth Rem; Cirera, Susanna

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Título:	Detailed characteristics of the known and putative novel miRNAs in cat urine for the 35 samples based on RNAseq data
Autor:	Gòdia, Marta CSIC ORCID; Brogaard, Louise; Mármol-Sánchez, Emilio CSIC ORCID; Langhorn, Rebecca; Nordang Kieler, Ida; Reezigt, Bert Jan; Nielsen, Lise Nikolic; Jessen, Lisbeth Rem; Cirera, Susanna
Palabras clave:	Small RNA sequencing Regulate gene expression Nine differentially abundant Likely cellular origin Urinary mirna profiles Six additional mirnas 11 ), cats 10 ), cats Secreted urinary mirnas Feline urinary mirnaome Chronic kidney disease 5 ), cats Invasive urinary biomarkers 102 da mirnas Div><p Identified 212 mirnas Healthy control cats Comparing control cats Shown diagnostic potential Relevant da mirnas Invasive biomarkers Healthy cats Urinary micrornaome ><0 5 ) Seven mirnas Detected mirnas 13 mirnas Eight cats Feline kidney Comparing pn Control study Pn cats Urological conditions Urological condition Ureteral obstruction Transcriptional level Time pcr Susclinical bacteriuria Quantitative real Qpcr alone Qpcr ) Putative novel Prospective case Previously identified P Nearly 71 Including annotated Human nephropathies Five groups First time Coding rnas 05 )
Fecha de publicación:	20-jul-2022
Editor:	Figshare
Citación:	Gòdia, Marta; Brogaard, Louise; Mármol-Sánchez, Emilio; Langhorn Rebecca; Nordang Kieler, Ida; Reezigt, Bert Jan; Nielsen, Lise Nikolic; Jessen, Lisbeth Rem; Cirera, Susanna; 2022; Detailed characteristics of the known and putative novel miRNAs in cat urine for the 35 samples based on RNAseq data [Dataset]; Figshare; https://doi.org/10.1371/journal.pone.0270067.s004
Resumen:	A. Proportion of samples for which each of the known miRNAs across the different groups were detected. B. Cumulative abundance of the known feline miRNAs. The dots indicate the log10 of the miRNA abundance for each miRNA. miRNAs are sorted in each group in a decreasing order by their miRNA abundance on the x-axis, independently for each group. C. Proportion of samples for which each of the putative novel miRNA candidates across the different groups were detected. D. Cumulative abundance of the putative novel miRNAs. The dots indicate the log10 of the miRNA abundance for each miRNA. miRNAs are sorted in each group in a decreasing order by their miRNA abundance on the x-axis, independently for each group. CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction, CPM: Counts per million.
Versión del editor:	https://doi.org/10.1371/journal.pone.0270067.s004
URI:	http://hdl.handle.net/10261/310606
DOI:	10.1371/journal.pone.0270067.s004
Referencias:	Gòdia, Marta; Brogaard, Louise; Mármol-Sánchez, Emilio; Langhorn, Rebecca; Nordang Kieler, Ida; Reezigt, Bert Jan; Nielsen, Lise Nikolic; Jessen, Lisbeth Rem; Cirera, Susanna. Urinary microRNAome in healthy cats and cats with pyelonephritis or other urological conditions. PLoS ONE 17(7): e0270067 (2022). https://doi.org/10.1371/journal.pone.0270067. http://hdl.handle.net/10261/287004
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