Resultados totales (Incluyendo duplicados): 18
Encontrada(s) 2 página(s)
CORA.Repositori de Dades de Recerca
doi:10.34810/data592
Dataset. 2023

DEMOGRAPHIC SURVEY

  • Paula Ruiz-Castillo
  • Saimado Imputiua
  • Kexin Xie
  • Eldo Elobolobo
  • Patricia Nicolas
  • Julia Montana
  • Edgar Jamisse
  • Humberto Munguambe
  • Felisbela Materrula
  • Aina Casellas
  • Xinwei Deng
  • Achla Marathe
  • Regina Rabinovich
  • Francisco Saute
  • Carlos Chaccour
  • Charfudin Sacoor
Data corresponding to a demographic survey conducted in Mopeia district (Zambezia province, Mozambique) to inform the Broad One Health Endectocide-based Malaria Intervention in Africa project, a cluster randomized clinical trial. Data consists of household and individual level variables.

Proyecto: //
DOI: https://doi.org/10.34810/data592
CORA.Repositori de Dades de Recerca
doi:10.34810/data592
HANDLE: https://doi.org/10.34810/data592
CORA.Repositori de Dades de Recerca
doi:10.34810/data592
PMID: https://doi.org/10.34810/data592
CORA.Repositori de Dades de Recerca
doi:10.34810/data592
Ver en: https://doi.org/10.34810/data592
CORA.Repositori de Dades de Recerca
doi:10.34810/data592

CORA.Repositori de Dades de Recerca
doi:10.34810/data682
Dataset. 2023

WEALTH INDEX DATA

  • Achla Marathe
  • Aina Casellas
  • Carlos Chaccour
  • Cassidy Rist
  • Charfudin Sacoor
  • Edgar Jamisse
  • Eldo Elobolobo
  • Felisbela Materrula 
  • Francisco Saute
  • Humberto Munguambe
  • Julia Montana
  • Kexin Xie
  • Mussa Sale
  • Patricia Nicolas
  • Paula Ruiz-Castillo
  • Regina Rabinovich
  • Saimado Imputiua
  • Victor Mutepa
  • Xinwei Deng
Data corresponding to household socioeconomic characteristics collected in a demographic survey conducted in Mopeia district (Zambezia province, Mozambique).

Proyecto: //
DOI: https://doi.org/10.34810/data682
CORA.Repositori de Dades de Recerca
doi:10.34810/data682
HANDLE: https://doi.org/10.34810/data682
CORA.Repositori de Dades de Recerca
doi:10.34810/data682
PMID: https://doi.org/10.34810/data682
CORA.Repositori de Dades de Recerca
doi:10.34810/data682
Ver en: https://doi.org/10.34810/data682
CORA.Repositori de Dades de Recerca
doi:10.34810/data682

CORA.Repositori de Dades de Recerca
doi:10.34810/data745
Dataset. 2023

SNAKEBITE DATA

  • Aina Casellas
  • Carlos Chaccour
  • Charfudin Sacoor
  • Edgar Jamisse
  • Eldo Elobolobo
  • Emma O'Bryan
  • Francisco Saute
  • Humberto Munguambe
  • Julia Montana
  • Patricia Nicolas
  • Paula Ruiz-Castillo
  • Regina Rabinovich
  • Saimado Imputiua
Data corresponding to snakebite characteristics collected in a demographic survey conducted in Mopeia district (Zambezia province, Mozambique).

Proyecto: //
DOI: https://doi.org/10.34810/data745
CORA.Repositori de Dades de Recerca
doi:10.34810/data745
HANDLE: https://doi.org/10.34810/data745
CORA.Repositori de Dades de Recerca
doi:10.34810/data745
PMID: https://doi.org/10.34810/data745
CORA.Repositori de Dades de Recerca
doi:10.34810/data745
Ver en: https://doi.org/10.34810/data745
CORA.Repositori de Dades de Recerca
doi:10.34810/data745

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/308427
Dataset. 2022

FLOWCHART OUTLINING THE PIPELINE FOR SMALL RNASEQ ANALYSIS

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 figure, Including the identification of known and putative novel miRNAs, miRNA abundance profiling and differential abundance analysis. rRNA: ribosomal RNA; tRNA: transfer RNA; snoRNA: small nucleolar RNA; snRNA: small nuclear RNA; RE: repeat elements; qPCR: quantitative real-time PCR., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/308427
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/308427
HANDLE: http://hdl.handle.net/10261/308427
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/308427
PMID: http://hdl.handle.net/10261/308427
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/308427
Ver en: http://hdl.handle.net/10261/308427
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/308427

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310598
Dataset. 2022

STACKED BAR PLOT REPORTING THE FRACTION OF SMALL RNASEQ READS ASSIGNED TO THE ANNOTATED FELIS CATUS MIRNAS (FCA-MIRNAS) FROM ENSEMBL V.99 (BLUE), FELINE GENOME (ORANGE) OR THAT WERE NOT MAPPED (RED)

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 figure, CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310598, https://doi.org/10.20350/digitalCSIC/15309
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310598
HANDLE: http://hdl.handle.net/10261/310598, https://doi.org/10.20350/digitalCSIC/15309
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310598
PMID: http://hdl.handle.net/10261/310598, https://doi.org/10.20350/digitalCSIC/15309
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310598
Ver en: http://hdl.handle.net/10261/310598, https://doi.org/10.20350/digitalCSIC/15309
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310598

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310603
Dataset. 2022

PRINCIPAL COMPONENT ANALYSIS (PCA) OF SAMPLES PROFILED BY SMALL RNASEQ TECHNIQUE

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
A. PCA of urine samples on the basis of normalized read counts of the known and putative novel miRNAs for the 38 samples initially processed. The red arrows indicate the outlier Control samples (C5, C6 and C7). B. PCA excluding the high outlier samples. CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310603
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310603
HANDLE: http://hdl.handle.net/10261/310603
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310603
PMID: http://hdl.handle.net/10261/310603
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310603
Ver en: http://hdl.handle.net/10261/310603
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310603

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310606
Dataset. 2022

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
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., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310606
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310606
HANDLE: http://hdl.handle.net/10261/310606
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310606
PMID: http://hdl.handle.net/10261/310606
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310606
Ver en: http://hdl.handle.net/10261/310606
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310606

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310610
Dataset. 2022

PRINCIPAL COMPONENT ANALYSIS (PCA) OF URINE SAMPLES (N = 38) ON THE BASIS OF LOG2 NORMALIZED RELATIVE QUANTITIES (RQ) OF PROFILED MIRNAS USING QPCR

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 figure., All samples together (all groups), as well as each one of the contrasts considered (Controls vs. PN; Control vs. SB/C; Control vs. UO; Control vs. CKD; PN vs. SB/C; PN vs. UO; PN vs. CKD and PN vs. other Pathologies) are shown. CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310610
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310610
HANDLE: http://hdl.handle.net/10261/310610
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310610
PMID: http://hdl.handle.net/10261/310610
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310610
Ver en: http://hdl.handle.net/10261/310610
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310610

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310617
Dataset. 2022

PEARSON CORRELATION ANALYSIS BETWEEN ABUNDANCE PROFILES OF SMALL RNASEQ AND QPCR DATA FROM SELECTED MIRNAS THAT WERE DA (|LOG2FC| ≥ 1.5 FOR QPCR AND ≥ 2 FOR SMALL RNASEQ; Q-VALUE < 0.05) USING BOTH METHODOLOGIES

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 figure., CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction, CPM: Counts per million, Rq: Relative quantities., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310617
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310617
HANDLE: http://hdl.handle.net/10261/310617
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310617
PMID: http://hdl.handle.net/10261/310617
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310617
Ver en: http://hdl.handle.net/10261/310617
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310617

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310621
Dataset. 2022

BLAND-ALTMAN PLOTS OF ABUNDANCE PROFILES OF SMALL RNASEQ AND QPCR

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
The data presented is from selected miRNAs that were DA (|log2FC| ≥ 1.5 for qPCR and |log2FC| ≥ 2 for small RNAseq; q-value < 0.05) using both methodologies. CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction, CPM: Counts per million, Rq: Relative quantities., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310621
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310621
HANDLE: http://hdl.handle.net/10261/310621
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310621
PMID: http://hdl.handle.net/10261/310621
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310621
Ver en: http://hdl.handle.net/10261/310621
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310621

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