Resultados totales (Incluyendo duplicados): 86
Encontrada(s) 9 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284776
Dataset. 2022

BRAINGUT_WINEUP DAILY LIFELIKE IMAGES [DATASET]

  • Bartolomé, Begoña
  • Moreno-Arribas, M. Victoria
  • Lloret Iglesias, Lara
  • Aguilar, Fernando
  • Cobo Cano, Miriam
  • García Díaz, Daniel
  • Heredia, Ignacio
  • Yuste, Silvia
  • Pérez-Matute, Patricia
  • Motilva, María-José
The photographs of glasses containing wine were acquired by researchers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Photographs were previously designed considering usual photographic parameters (see DATA-SPECIFIC INFORMATION for details).-- The data have not been processed., The DATASET compiles 1.945 files corresponding to individual images of glasses containing red wine. The photographs of glasses containing wine were acquired by researchers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Photographs were previously designed considering usual photographic parameters. Each file name is unique and contains information of the parameters under which the photograph was taken., This study was supported by MCIN (Ministerio de Ciencia e Innovación)/AEI (Agencia Estatal de Investigación)/10 .13039 /501100011033through the projects PID2019-108851RB-C21 & PID2019-108851RB-C22. The authors would like to thank CSIC Interdisciplinary Thematic Platform (PTI+) Digital Science and Innovation., The DATASET compiles 1.945 files corresponding to individual images of glasses containing red wine. Each file name is unique and contains information of the parameters under which the photograph was taken (see DATA-SPECIFIC INFOR-MATION for details). For example: The file Rea_Rio_C_Bor_175_nd_nd_fr10_nd_nd_ar2 corresponds to an almost real image (Rea), taken in La Rioja (Rio), of a “crianza wine”(C), in a Bourgogne wine glass (Bor), with a volume of 175 mL (175), taken at none defined time (nd) and undefined lighting (nd), with a real back-ground (fr10) and without reference (nd) nor distance (nd) considerations, and upper angle (ar2)., Peer reviewed

DOI: http://hdl.handle.net/10261/284776, https://doi.org/10.20350/digitalCSIC/14816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284776
HANDLE: http://hdl.handle.net/10261/284776, https://doi.org/10.20350/digitalCSIC/14816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284776
PMID: http://hdl.handle.net/10261/284776, https://doi.org/10.20350/digitalCSIC/14816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284776
Ver en: http://hdl.handle.net/10261/284776, https://doi.org/10.20350/digitalCSIC/14816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284776

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284780
Dataset. 2022

BRAINGUT_WINEUP REAL IMAGES [DATASET]

  • Relaño de la Guía, Edgard
  • Lloret Iglesias, Lara
  • Aguilar, Fernando
  • Cobo Cano, Miriam
  • García Díaz, Daniel
  • Heredia, Ignacio
  • Yuste, Silvia
  • Pérez-Matute, Patricia
  • Motilva, María-José
  • Bartolomé, Begoña
  • Moreno-Arribas, M. Victoria
The photographs of glasses containing wine were acquired by wine consumers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Photographs were previously designed considering usual photographic parameters (see DATA-SPECIFIC INFORMATION for details).-- The data have not been processed., The DATASET compiles 229 files corresponding to individual images of glasses containing red wine. The photographs of glasses containing wine were acquired by wine consumers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Each file name is unique and contains information of the parameters under which the photo-graph was taken., This study was supported by MCIN (Ministerio de Ciencia e Innovación)/AEI (Agencia Estatal de Investigación)/10 .13039 /501100011033through the projects PID2019-108851RB-C21 & PID2019-108851RB-C22. The authors would like to thank CSIC Interdisciplinary Thematic Platform (PTI+) Digital Science and Innovation., The DATASET compiles 229 files corresponding to individual images of glasses containing red wine. Each file name is unique and contains information of the parameters under which the photograph was taken (see DATA-SPECIFIC INFOR-MATION for details). For example: The file Vol_Mad_C_Bor_175_Cena_nd_nd_nd_nd_nd corresponds to a real image taken by a consumer(#Vol), taken in Madrid (Mad), of a “crianza wine”(C), in a Bourgogne wine glass (Bor), with a volume of 175 mL (175), taken at dinner (Cena) with undefined lighting (nd) and a random real background (nd), and without reference (nd) nor distance (nd), nor angle (nd) considerations., Peer reviewed

DOI: http://hdl.handle.net/10261/284780, https://doi.org/10.20350/digitalCSIC/14817
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284780
HANDLE: http://hdl.handle.net/10261/284780, https://doi.org/10.20350/digitalCSIC/14817
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284780
PMID: http://hdl.handle.net/10261/284780, https://doi.org/10.20350/digitalCSIC/14817
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284780
Ver en: http://hdl.handle.net/10261/284780, https://doi.org/10.20350/digitalCSIC/14817
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284780

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310630
Dataset. 2022

MIRNAS SELECTED FOR QPCR VERIFICATION

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 table., The table includes for each miRNA the arguments for its selection for further validation, the forward and reverse sequence, the miRBase sequence used as template for primer design, if successful miRNA amplification was obtained with qPCR and qPCR amplification efficiency., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310630
HANDLE: http://hdl.handle.net/10261/310630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310630
PMID: http://hdl.handle.net/10261/310630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310630
Ver en: http://hdl.handle.net/10261/310630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310630

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310635
Dataset. 2022

CONCENTRATION OF RNA OBTAINED FROM WHOLE URINE

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 table, Total RNA was isolated from whole urine of 38 cats, and 6 μl of each RNA sample was applied in small RNAseq. Concentration and ratios were obtained using Nanodrop measurement., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310635
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310635
HANDLE: http://hdl.handle.net/10261/310635
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310635
PMID: http://hdl.handle.net/10261/310635
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310635
Ver en: http://hdl.handle.net/10261/310635
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310635

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310639
Dataset. 2022

SEQUENCING AND MAPPING STATISTICS

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 table., Reads mapped to the different gene biotypes in the genome are included. SD: standard deviation; rRNA: ribosomal RNA; tRNA: transfer RNA; snoRNA: small nucleolar RNA; snRNA: small nuclear RNA; RE: repeat elements; miRNA: microRNA., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310639
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310639
HANDLE: http://hdl.handle.net/10261/310639
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310639
PMID: http://hdl.handle.net/10261/310639
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310639
Ver en: http://hdl.handle.net/10261/310639
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310639

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310644
Dataset. 2022

MIRDEEP2 RESULTS

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 table., mirDeep2 output of the 996 miRNAs identified with information from their sequences, scores and probabilities of being a true positive miRNA, among others., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310644
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310644
HANDLE: http://hdl.handle.net/10261/310644
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310644
PMID: http://hdl.handle.net/10261/310644
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310644
Ver en: http://hdl.handle.net/10261/310644
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310644

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310693
Dataset. 2022

DETAILED LIST OF KNOWN AND PUTATIVE DE NOVO MIRNAS THAT PASSED THE DEFINED QUALITY CONTROL FILTERS IN THE FELINE URINE DATASETS

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 table., Including the miRNA ID name based on sequence homology with other species (blastn), miRNA coordinates, strand, closest homology miRNA with their percentage of identity and probability (E-value) and consensus mature, star and precursor sequences., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310693
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310693
HANDLE: http://hdl.handle.net/10261/310693
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310693
PMID: http://hdl.handle.net/10261/310693
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310693
Ver en: http://hdl.handle.net/10261/310693
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310693

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310694
Dataset. 2022

MEAN ABUNDANCE AND STANDARD DEVIATION OF THE MIRNAS DETECTED IN THE URINARY MIRNAOME OF THE FINAL 35 FELINE SAMPLES INCLUDED IN RNASEQ ANALYSES

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 table., This includes information from their source (database/study/de novo) and their genomic coordinates. CPM: Counts Per Million., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310694
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310694
HANDLE: http://hdl.handle.net/10261/310694
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310694
PMID: http://hdl.handle.net/10261/310694
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310694
Ver en: http://hdl.handle.net/10261/310694
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310694

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310699
Dataset. 2022

S7 TABLE - DATASET OF URINARY MICRORNAOME IN HEALTHY CATS AND CATS WITH PYELONEPHRITIS OR OTHER UROLOGICAL CONDITIONS

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
A. List of differentially abundant (DA) miRNAs between the Control group (healthy) and the different uropathological conditions and between PN and the other uropathological conditions using RNAseq data. B. List of all miRNAs comparisons (without q-value and log2FC filters). The values of log2FC are calculated using the Controls as baseline and therefore a positive log2FC implies an upregulation of the specific miRNA in the pathological state and vice versa. Accordingly, in the comparison PN vs Other pathologies, the PN group was set as baseline, and a negative log2FC thus indicates up-regulation in PN compared to other pathologies. log2FC: log2 of the fold-change in expression. CKD: Chronic Kidney Disease; SB/C: Subclinical Bacteriuria/Cystitis; PN: Pylonephritis; UO: Ureteral Obstruction., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310699
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310699
HANDLE: http://hdl.handle.net/10261/310699
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310699
PMID: http://hdl.handle.net/10261/310699
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310699
Ver en: http://hdl.handle.net/10261/310699
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310699

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310703
Dataset. 2022

LIST OF DIFFERENTIALLY ABUNDANT (DA) MIRNAS BETWEEN THE HEALTHY CONTROL GROUP AND THE DIFFERENT UROPATHOLOGICAL CONDITIONS AND BETWEEN PN AND THE OTHER UROPATHOLOGICAL CONDITIONS USING QPCR DATA

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 table., The values of log2FC are calculated using the Control cats as baseline, and, therefore, a positive log2FC implies an up-regulation of the specific miRNA in the pathological state and vice versa. Accordingly, in the comparison PN vs. other pathologies, the PN group was set as baseline, and a negative log2FC thus indicates up-regulation in PN compared to other pathologies. In dark grey DA miRNA surviving the criteria |log2FC| ≥ 1.5 and q-value < 0.05; in light grey DA miRNAs surviving the criteria |log2FC| ≥ 1.5 and p-value < 0.05; CKD: Chronic kidney disease; SB/C: Subclinical bacteriuria/Cystitis; PN: Pyelonephritis; UO: Ureteral obstruction, FDR: False discovery rate., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310703
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310703
HANDLE: http://hdl.handle.net/10261/310703
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310703
PMID: http://hdl.handle.net/10261/310703
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310703
Ver en: http://hdl.handle.net/10261/310703
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310703

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