Resultados totales (Incluyendo duplicados): 26
Encontrada(s) 3 página(s)
Memoria Digital Vasca = Euskal Memoria Digitala
oai:www.memoriadigitalvasca.eus:10357/69490
Imagen (Image). 2016

BALCÓN VITORIANO

  • Óscar
Técnica: Dibujo, Materia-soporte: papel, Típico balcón vitoriano del Casco Antiguo, Expurgado, Nota: la pieza ya no pertenece al Patrimonio de la Fundación Vital.

Proyecto: //
DOI: http://hdl.handle.net/10357/69490
Memoria Digital Vasca = Euskal Memoria Digitala
oai:www.memoriadigitalvasca.eus:10357/69490
HANDLE: http://hdl.handle.net/10357/69490
Memoria Digital Vasca = Euskal Memoria Digitala
oai:www.memoriadigitalvasca.eus:10357/69490
PMID: http://hdl.handle.net/10357/69490
Memoria Digital Vasca = Euskal Memoria Digitala
oai:www.memoriadigitalvasca.eus:10357/69490
Ver en: http://hdl.handle.net/10357/69490
Memoria Digital Vasca = Euskal Memoria Digitala
oai:www.memoriadigitalvasca.eus:10357/69490

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329417
Dataset. 2022

DATASET OF ROBUST TRANSCRIPTIONAL INDICATORS OF PLANT IMMUNE CELL DEATH REVEALED BY SPATIO-TEMPORAL TRANSCRIPTOME ANALYSES

  • Salguero-Linares, José Manuel
  • Serrano, Irene
  • Ruiz-Solani, Nerea
  • Salas-Gómez, Marta
  • Phukan, Ujjal J.
  • González, Víctor M.
  • Bernardo-Faura, Martí
  • Valls, Marc
  • Rengel, David
  • Coll, Núria S.
Leaf tissue was separately collected from the IN and OUT area of infiltration at 5 different time points: 0, 1, 2, 4 and 6 hours by making use of a sterile scalpel Leaf tissue was stored in 2 mL Eppendorf tubes and snapped-frozen in liquid nitrogen until the time of RNA extraction. Each sample collected consisted of tissue from six leaves derived from three different plants. For generation of three biological replicates from each condition (area, treatment and time), three independent experiments were performed. total sum of 60 samples -2 treatments (mock/infected), 5 time points (0, 1, 2, 4 and 6 hpi), 2 areas (IN/OUT) and 3 biological replicates- were used for RNA-sequencing. -- Organism: Arabidopsis thaliana. -- Experiment type: Expression profiling by high throughput sequencing, Resources available on the publisher's site: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE198022, We aim to monitor global transcriptomic changes during the HR in Arabidopsis Col-0 leaf upon localized infiltration of Pst DC3000 (avrRpm1) (5*107cfu/mL) and mock (10 Mm MgCl2) in a spatio-temporal manner. The infiltrated cells were harvested in parallel with the immediately adjacent uninfected cells. Samples were collected at 0,1,2,4,6 post-inoculation in three biological replicates., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329417
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329417
HANDLE: http://hdl.handle.net/10261/329417
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329417
PMID: http://hdl.handle.net/10261/329417
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329417
Ver en: http://hdl.handle.net/10261/329417
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329417

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330108
Dataset. 2022

IMAGE_1_METABOLIC PROFILING OF RESISTANT AND SUSCEPTIBLE TOBACCOS RESPONSE INCITED BY RALSTONIA PSEUDOSOLANACEARUM CAUSING BACTERIAL WILT.TIF

  • Yang, Liang
  • Wei, Zhouling
  • Valls, Marc
  • Ding, Wei
1 figure., The causal agent of bacterial wilt, Ralstonia pseudosolanacearum, can cause significant economic losses during tobacco production. Metabolic analyses are a useful tool for the comprehensive identification of plant defense response metabolites. In this study, a gas chromatography-mass spectrometry (GC-MS) approach was used to identify metabolites differences in tobacco xylem sap in response to R. pseudosolanacearum CQPS-1 in two tobacco cultivars: Yunyan87 (susceptible to R. pseudosolanacearum) and K326 (quantitatively resistant). Metabolite profiling 7 days post inoculation with R. pseudosolanacearum identified 88 known compounds, 42 of them enriched and 6 depleted in the susceptible cultivar Yunyan87, while almost no changes occurred in quantitatively resistant cultivar K326. Putrescine was the most enriched compound (12-fold) in infected susceptible tobacco xylem, followed by methyl-alpha-d-glucopyranoside (9-fold) and arabinitol (6-fold). Other sugars, amino acids, and organic acids were also enriched upon infection. Collectively, these metabolites can promote R. pseudosolanacearum growth, as shown by the increased growth of bacterial cultures supplemented with xylem sap from infected tobacco plants. Comparison with previous metabolic data showed that beta-alanine, phenylalanine, and leucine were enriched during bacterial wilt in both tobacco and tomato xylem., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330108
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330108
HANDLE: http://hdl.handle.net/10261/330108
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330108
PMID: http://hdl.handle.net/10261/330108
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330108
Ver en: http://hdl.handle.net/10261/330108
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330108

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330112
Dataset. 2022

IMAGE_2_METABOLIC PROFILING OF RESISTANT AND SUSCEPTIBLE TOBACCOS RESPONSE INCITED BY RALSTONIA PSEUDOSOLANACEARUM CAUSING BACTERIAL WILT.TIF

  • Yang, Liang
  • Wei, Zhouling
  • Valls, Marc
  • Ding, Wei
1 figure., The causal agent of bacterial wilt, Ralstonia pseudosolanacearum, can cause significant economic losses during tobacco production. Metabolic analyses are a useful tool for the comprehensive identification of plant defense response metabolites. In this study, a gas chromatography-mass spectrometry (GC-MS) approach was used to identify metabolites differences in tobacco xylem sap in response to R. pseudosolanacearum CQPS-1 in two tobacco cultivars: Yunyan87 (susceptible to R. pseudosolanacearum) and K326 (quantitatively resistant). Metabolite profiling 7 days post inoculation with R. pseudosolanacearum identified 88 known compounds, 42 of them enriched and 6 depleted in the susceptible cultivar Yunyan87, while almost no changes occurred in quantitatively resistant cultivar K326. Putrescine was the most enriched compound (12-fold) in infected susceptible tobacco xylem, followed by methyl-alpha-d-glucopyranoside (9-fold) and arabinitol (6-fold). Other sugars, amino acids, and organic acids were also enriched upon infection. Collectively, these metabolites can promote R. pseudosolanacearum growth, as shown by the increased growth of bacterial cultures supplemented with xylem sap from infected tobacco plants. Comparison with previous metabolic data showed that beta-alanine, phenylalanine, and leucine were enriched during bacterial wilt in both tobacco and tomato xylem., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330112
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330112
HANDLE: http://hdl.handle.net/10261/330112
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330112
PMID: http://hdl.handle.net/10261/330112
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330112
Ver en: http://hdl.handle.net/10261/330112
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330112

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330118
Dataset. 2022

TABLE_1_METABOLIC PROFILING OF RESISTANT AND SUSCEPTIBLE TOBACCOS RESPONSE INCITED BY RALSTONIA PSEUDOSOLANACEARUM CAUSING BACTERIAL WILT.XLS

  • Yang, Liang
  • Wei, Zhouling
  • Valls, Marc
  • Ding, Wei
Relative quantification of metabolites in healthy and R. pseudosolanacearum CQPS-1-infected tobacco (cv. Yunyan87 and K326) xylem sap., The causal agent of bacterial wilt, Ralstonia pseudosolanacearum, can cause significant economic losses during tobacco production. Metabolic analyses are a useful tool for the comprehensive identification of plant defense response metabolites. In this study, a gas chromatography-mass spectrometry (GC-MS) approach was used to identify metabolites differences in tobacco xylem sap in response to R. pseudosolanacearum CQPS-1 in two tobacco cultivars: Yunyan87 (susceptible to R. pseudosolanacearum) and K326 (quantitatively resistant). Metabolite profiling 7 days post inoculation with R. pseudosolanacearum identified 88 known compounds, 42 of them enriched and 6 depleted in the susceptible cultivar Yunyan87, while almost no changes occurred in quantitatively resistant cultivar K326. Putrescine was the most enriched compound (12-fold) in infected susceptible tobacco xylem, followed by methyl-alpha-d-glucopyranoside (9-fold) and arabinitol (6-fold). Other sugars, amino acids, and organic acids were also enriched upon infection. Collectively, these metabolites can promote R. pseudosolanacearum growth, as shown by the increased growth of bacterial cultures supplemented with xylem sap from infected tobacco plants. Comparison with previous metabolic data showed that beta-alanine, phenylalanine, and leucine were enriched during bacterial wilt in both tobacco and tomato xylem., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330118
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330118
HANDLE: http://hdl.handle.net/10261/330118
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330118
PMID: http://hdl.handle.net/10261/330118
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330118
Ver en: http://hdl.handle.net/10261/330118
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330118

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330121
Dataset. 2022

TABLE_2_METABOLIC PROFILING OF RESISTANT AND SUSCEPTIBLE TOBACCOS RESPONSE INCITED BY RALSTONIA PSEUDOSOLANACEARUM CAUSING BACTERIAL WILT.XLS

  • Yang, Liang
  • Wei, Zhouling
  • Valls, Marc
  • Ding, Wei
Table S2. Xylem sap metabolites altered by bacterial wilt disease in tobacco and tomato plants., The causal agent of bacterial wilt, Ralstonia pseudosolanacearum, can cause significant economic losses during tobacco production. Metabolic analyses are a useful tool for the comprehensive identification of plant defense response metabolites. In this study, a gas chromatography-mass spectrometry (GC-MS) approach was used to identify metabolites differences in tobacco xylem sap in response to R. pseudosolanacearum CQPS-1 in two tobacco cultivars: Yunyan87 (susceptible to R. pseudosolanacearum) and K326 (quantitatively resistant). Metabolite profiling 7 days post inoculation with R. pseudosolanacearum identified 88 known compounds, 42 of them enriched and 6 depleted in the susceptible cultivar Yunyan87, while almost no changes occurred in quantitatively resistant cultivar K326. Putrescine was the most enriched compound (12-fold) in infected susceptible tobacco xylem, followed by methyl-alpha-d-glucopyranoside (9-fold) and arabinitol (6-fold). Other sugars, amino acids, and organic acids were also enriched upon infection. Collectively, these metabolites can promote R. pseudosolanacearum growth, as shown by the increased growth of bacterial cultures supplemented with xylem sap from infected tobacco plants. Comparison with previous metabolic data showed that beta-alanine, phenylalanine, and leucine were enriched during bacterial wilt in both tobacco and tomato xylem., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330121
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330121
HANDLE: http://hdl.handle.net/10261/330121
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330121
PMID: http://hdl.handle.net/10261/330121
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330121
Ver en: http://hdl.handle.net/10261/330121
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330121

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330572
Dataset. 2022

SUPPLEMENTAL INFORMATION: ROBUST TRANSCRIPTIONAL INDICATORS OF IMMUNE CELL DEATH REVEALED BY SPATIOTEMPORAL TRANSCRIPTOME ANALYSES

  • Salguero-Linares, José Manuel
  • Serrano, Irene
  • Ruiz-Solani, Nerea
  • Salas-Gómez, Marta
  • Phukan, Ujjal J.
  • González, Víctor M.
  • Bernardo-Faura, Martí
  • Valls, Marc
  • Rengel, David
  • Coll, Núria S.
Document S1. Supplemental Figures 1–16 and Supplemental Tables 1–13. Supplemental Table 1. Primers. Supplemental Table 2. Statistics. Supplemental Table 3. DEGs. Supplemental Table 4. DEGs IN versus OUT. Supplemental Table 5. GO IN versus OUT. Supplemental Table 6. Gene list clusters IN. Supplemental Table 7. GO clusters IN PtoAvrRpm1. Supplemental Table 8. GO clusters OUT PtoAvrRpm1. Supplemental Table 9. GO DEGs. Supplemental Table 10 GO cluster IN mock. Supplemental Table 11. GO cluster OUT mock. Supplemental Table 12. Primers. Supplemental Table 13. Quantitative PCR raw data. Document S2. Article plus supplemental information., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330572
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330572
HANDLE: http://hdl.handle.net/10261/330572
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330572
PMID: http://hdl.handle.net/10261/330572
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330572
Ver en: http://hdl.handle.net/10261/330572
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330572

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330574
Dataset. 2022

CODE FOR: ROBUST TRANSCRIPTIONAL INDICATORS OF PLANT IMMUNE CELL DEATH REVEALED BY SPATIO-TEMPORAL TRANSCRIPTOME ANALYSES

  • Salguero-Linares, José Manuel
  • Serrano, Irene
  • Ruiz-Solani, Nerea
  • Salas-Gómez, Marta
  • Phukan, Ujjal J.
  • González, Víctor M.
  • Bernardo-Faura, Martí
  • Valls, Marc
  • Rengel, David
  • Coll, Núria S.
This dataset compiles the code for the research article "Robust transcriptional indicators of plant immune cell death revealed by spatio-temporal transcriptome analyses", currently pubished as a preprint in BioRxiv (DOI:10.1101/2021.10.06.463031). Both the raw and processed transcriptomic data experimentally generated and analysed here in order to identify transcriptional indicators of plant immune cell death are available at GEO (currently under embargo). In addition, supplementary data published with the article, some of which was generated using this code, is available (currently under embargo until manuscript publication) in a linked dataset (https://doi.org/10.34810/data136)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330574
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330574
HANDLE: http://hdl.handle.net/10261/330574
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330574
PMID: http://hdl.handle.net/10261/330574
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330574
Ver en: http://hdl.handle.net/10261/330574
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330574

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340796
Dataset. 2023

SUPPLEMENTARY DATA OF THE ARTICLE ARABIDOPSIS METACASPASE MC1 LOCALIZES IN STRESS GRANULES, CLEARS PROTEIN AGGREGATES, AND DELAYS SENESCENCE

  • Ruiz-Solaní, Nerea
  • Salguero-Linares, José Manuel
  • Armengot, Laia
  • Santos, Jaime
  • Pallarès, Irantzu
  • Midden, Katarina P. van
  • Phukkan, Ujjal J.
  • Koyuncu, Seda
  • Borràs-Bisa, Júlia
  • Li, Liang
  • Popa, Crina
  • Eisele, Frederik
  • Eisele-Bürger, Anna Maria
  • Hill, S. M.
  • Gutierrez-Beltran, Emilio
  • Nyström, Thomas
  • Valls, Marc
  • Llamas, Ernesto
  • Vilchez, David
  • Klemenčič, Marina
  • Ventura, Salvador
  • Coll, Núria S.
Figures S1-S11. -- Supplemental Data Set 1: Arabidopsis lines used in this study. -- Supplemental Data Set 2: List of plasmids used in this study. -- Supplemental Data Set 3: List of primers and synthetic sequences used in this study for genotyping and cloning. -- Supplemental Data Set 4. Yeast strains used in this study. -- Supplemental Data Set 5. Other materials used in this study. -- Supplemental Data Set 6. Statistical analysis., Supplementary figures_3rdSbmission.pdf, tpc.22.01238Supplemental Data Sets 1XXX6.xlsx, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/340796
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340796
HANDLE: http://hdl.handle.net/10261/340796
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340796
PMID: http://hdl.handle.net/10261/340796
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340796
Ver en: http://hdl.handle.net/10261/340796
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340796

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/343422
Dataset. 2023

S1 DATASET. DEGS IN THE TWO ENVIRONMENTAL CONDITIONS (SOIL AND WATER) AND IN THE THREE IN PLANTA CONDITIONS (APOPLAST, EARLY XYEM AND LATE XYLEM) COMPARED TO THE REFERENCE RICH B MEDIUM (PHI)

  • Pedro-Jové, Roger de
  • Corral, Jordi
  • Rocafort, Mercedes
  • Puigvert, Marina
  • Azam, Fàtima Latif
  • Vandecaveye, Agustina
  • Macho, Alberto P.
  • Balsalobre, Carlos
  • Coll, Núria S.
  • Orellano, Elena G.
  • Valls, Marc
Differentially expressed genes were selected with DESeq2 (p-adj > 0.01, log2 FC ± 1.5)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/343422
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/343422
HANDLE: http://hdl.handle.net/10261/343422
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/343422
PMID: http://hdl.handle.net/10261/343422
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/343422
Ver en: http://hdl.handle.net/10261/343422
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/343422

Buscador avanzado