Resultados totales (Incluyendo duplicados): 23
Encontrada(s) 3 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/343663
Dataset. 2010

SUPPLEMENTARY INFORMATION: UNIQUE FUNCTIONALITY OF 22-NT MIRNAS IN TRIGGERING RDR6-DEPENDENT SIRNA BIOGENESIS FROM TARGET TRANSCRIPTS IN ARABIDOPSIS

  • Cuperus, Josh T
  • Carbonell, Alberto
  • Fahlgren, Noah
  • Garcia-Ruiz, Hernan
  • Burke, Russell T
  • Takeda, Atsushi
  • Sullivan, Christopher M
  • Gilbert, Sunny D
  • Montgomery, Taiowa A
  • Carrington, James C
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/343663
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/343663
HANDLE: http://hdl.handle.net/10261/343663
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/343663
PMID: http://hdl.handle.net/10261/343663
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/343663
Ver en: http://hdl.handle.net/10261/343663
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/343663

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/344022
Dataset. 2010

SUPPORTING INFORMATION FOR “CLICK” SYNTHESIS OF NONSYMMETRICAL BIS(1,2,3-TRIAZOLES)

  • Aizpurua, Javier
  • Azcune, Itxaso
  • Fratila, Raluca M.
  • Balentová, Eva
  • Sagartzazu-Aizpurua, Maialen
  • Miranda, José Ignacio
Preparation procedures, physical and spectroscopic data for compounds 4a−m, 5a−h, 6h,n, 8a−f, 11, and 12., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/344022
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/344022
HANDLE: http://hdl.handle.net/10261/344022
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/344022
PMID: http://hdl.handle.net/10261/344022
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/344022
Ver en: http://hdl.handle.net/10261/344022
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/344022

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/345389
Dataset. 2010

FLUORIMETRIC CHLOROPHYLL OF THE EXPEDITION MALASPINA 2010 (MALASPINA2010_CHLOROPHYLL.XLS) [DATASET]

  • Estrada, Marta
  • Latasa, Mikel
  • Cabello, Ana María
  • Mozetič, Patricija
  • Rial, Pilar
  • Rodríguez Hernández, Francisco José
  • Agustí, Susana
  • Duarte, Carlos M.
Open access. Please, contact corresponding author in case of doubts, Description: The Malaspina2010_chlorophyll.xlsx file contains the fluorimetric chlorophyll a data of the circunnavigation expedition Malaspina 2010, which took place between 14/12/2010 and 14/07/2011 on board the BIO Hespérides. The data presented here were obtained between 16/12/2010 and 11/07/2011. The date and position of the sampling stations are listed in the third sheet of the file. Methods: Water samples for fluorimetric chlorophyll a (Chl a) determination were collected from 3 m depth with a 30-liter Niskin bottle and from selected depths between 10 and 200 m with a Rosette of 24 10-liter Niskin bottles attached to a CTD probe. Chl a determination was carried out as described in Estrada et al. (2012). Briefly, between 200 and 500 cm3 of seawater were filtered through GF/F glass fiber filters that were subsequently frozen at -20°C and, after a minimum of 6 hours, introduced in vials with acetone 90% and left for 24 hours in the dark, at 4ºC. The Chl a concentration in the acetonic extracts was measured with a Turner Designs fluorimeter calibrated with a pure Chl a standard (Sigma-Aldrich); no phaeopigment correction was applied. Size-fractionated analyses of Chl a were performed for samples from surface, the 20% surface PAR and the deep chlorophyll maximum. The analyses were carried out by sequential filtration of a 500 cm3 of seawater through Poretics (polycarbonate) membrane filters of pore sizes 20 μm, 2 μm and 0.2 μm, which were subsequently treated as the GF/F ones (Estrada, 2012), This work was supported by Consolider-Ingenio 2010, CSD2008-00077 of the former Spanish Ministerio de Ciencia e Innovación (ES) (now www.ciencia.gob.es) and the Consejo Superior de Investigaciones Científicas (CSIC) (ES)., Authors; Methods; Station positions; leg 1; leg 2; Legs 3-4; leg 5; leg 6; leg 7; References, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/345389
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/345389
HANDLE: http://hdl.handle.net/10261/345389
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/345389
PMID: http://hdl.handle.net/10261/345389
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/345389
Ver en: http://hdl.handle.net/10261/345389
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/345389

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/347195
Dataset. 2010

INORGANIC NUTRIENT CONCENTRATIONS OF THE EXPEDITION MALASPINA 2010 (MALASPINA_2010_NUTRIENTS.XLSX) [DATASET]

  • Blasco, Dolors
  • Fuente Gamero, Patricia de la
  • Guallar, Carles
  • Riera-Lorente, Max
  • Teixidor-Toneu, Irene
  • Agustí, Susana
  • Duarte, Carlos M.
  • Vidal, Montserrat
Description: The Malaspina2010_chlorophyll.xlsx file contains the inorganic nutrient concentration data of the circunnavigation expedition Malaspina 2010, which took place between 14/12/2010 and 14/07/2011 on board the BIO Hespérides. The date and position of the sampling stations are listed in the “Data” sheet of the file. Methods: Water samples for measurement of the concentration of nitrate, nitrite (nitrate + nitrite in leg 1), phosphate and silicate were collected from 3 m depth with a 30-liter Niskin bottle and from selected depths between 10 and 200 m with a Rosette of 24 10-liter Niskin bottles attached to a CTD probe. Inorganic nutrient concentrations were determined by means of a Skalar autoanalyzer, following the standard spectrophotometric procedures described in Grasshoff et al. (1999) and Blasco et al. (2012); in leg 1, nitrite was not determined separately and phosphate was measured using a manual method (Vidal et al. 2012), This work was supported by Consolider-Ingenio 2010, CSD2008-00077 of the former Spanish Ministerio de Ciencia e Innovación (ES) (now www.ciencia.gob.es) and the Consejo Superior de Investigaciones Científicas (CSIC) (ES), Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/347195
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/347195
HANDLE: http://hdl.handle.net/10261/347195
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/347195
PMID: http://hdl.handle.net/10261/347195
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/347195
Ver en: http://hdl.handle.net/10261/347195
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/347195

Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/31632
Dataset. 2010

PROGRESSING VS REGRESSING MELANOMA METASTASES (GSE24067)

  • Carretero Coca, Rafael
  • Wang, Ena
  • Engle, Alyson M.
  • Ascierto, María L.
  • Liu, Hui
  • Camacho, Francisco M.
  • Marincola, Francesco M.
  • Garrido Torres-Puchol, Federico
  • Cabrera Castillo, María Teresa
[Organism] Homo sapiens, [Experiment type] Expression profiling by array, [Overall design] Two-condition experiment, Progressing vs regressing metastases. 3 progressing and 2 regressing metastases extracted from the same patient after M-VAX immunotherapy. One replicate per array., [Platforms (1)] GPL7088 CCDTM Hs_CCDTM36k - version 1, [Relations] BioProject PRJNA130231, 1. Sample GSM592226. Title: melanoma progressing 1. Sample type: RNA. Platform ID: GPL7088. Series: GSE24067 Progressing vs regressing melanoma metastases; GSE26383 Response to immunotherapy in melanoma metastasis., Channel 1: [Source name] melanoma, progressing [Organism] Homo sapiens [Characteristics] tissue: melanoma treatment protocol: M-VAX preservation: cryopreservation patient: 1 [Extracted molecule] total RNA [Extraction protocol] Total RNA extracted using Qiagen's RNEasy Mini kit following manufacturer's instructions [Label] Cy5 [Label protocol] 0.5 µg of total RNA was primed with 0.25 ug oligo dT-T7 primer (5’ AAA CGA CGG CCA GTG AAT TGT AAT ACG ACT CAC TAT AGG CGC T(15) 3’) at 70°C for 3 min, then reverse transcribed at 42°C for 90 min in the presence of 200 U SuperScript II RTase (Invitrogen), and 1 mM dNTP. Second strand synthesis was done with the 5’ primer switch method using 0.25 ug Ts/SMARTII primers (5’ AAG CAG TGG TAA CAA CGC AGA GTA CGC GGG 3’) for priming at 65°C for 1 min, and subsequent primer extension at 75°C for 30 min using the Advantage cDNA Polymerase Mix (Clontech) and 0.2mM dNTP. Double stranded cDNA subjected to in vitro transcription at 42°C for 6h using Megascript T7 kit (Ambion). After two rounds of linear amplification, cRNA was chemically labeled using ULS Cy3/Cy5 Fluorescent Labeling Kit (Kreatech), and fragmented by Fragmentation Reagents kit (Ambion)., Channel 2: [Source name] Total RNA from pooled PBMC [Organism] Homo sapiens [Characteristics] tissue: Blood preservation: cryopreservation reference: Total RNA from pooled PBMC [Extracted molecule] total RNA [Extraction protocol] Total RNA extracted using Qiagen's RNEasy Mini kit following manufacturer's instructions [Label] Cy3 [Label protocol] 0.5 µg of total RNA was primed with 0.25 ug oligo dT-T7 primer (5’ AAA CGA CGG CCA GTG AAT TGT AAT ACG ACT CAC TAT AGG CGC T(15) 3’) at 70°C for 3 min, then reverse transcribed at 42°C for 90 min in the presence of 200 U SuperScript II RTase (Invitrogen), and 1 mM dNTP. Second strand synthesis was done with the 5’ primer switch method using 0.25 ug Ts/SMARTII primers (5’ AAG CAG TGG TAA CAA CGC AGA GTA CGC GGG 3’) for priming at 65°C for 1 min, and subsequent primer extension at 75°C for 30 min using the Advantage cDNA Polymerase Mix (Clontech) and 0.2mM dNTP. Double stranded cDNA subjected to in vitro transcription at 42°C for 6h using Megascript T7 kit (Ambion). After two rounds of linear amplification, cRNA was chemically labeled using ULS Cy3/Cy5 Fluorescent Labeling Kit (Kreatech), and fragmented by Fragmentation Reagents kit (Ambion)., [Hybridization protocol] 6 ug of labeled, fragmented cRNA per sample was applied to microarrays in Kreatech's Hybridization buffer, and hybridized for 16 h at 42C. After hybridization, slides were washed three four times with wash solutions containg gradually decreased concentrations of SSC (1x-0x) [Scan protocol] Scanned on an Agilent DNA Microarray Scanner. Images were quantified using Agilent Feature Extraction Software (version A.9.5.3). [Description] metastasis non responding after M-VAX immunotherapy 1 [Data processing] LOWESS normalized, background subtracted data obtained from log2 of processed Red signal/processed Green signal. Agilent software was used for feature extraction., 2. Sample GSM592227. Title: melanoma progressing 2. Sample type: RNA. Platform ID: GPL7088. Series (2): GSE24067 Progressing vs regressing melanoma metastases. GSE26383 Response to immunotherapy in melanoma metastasis., Channel 1 [Source name] melanoma, progressing [Organism] Homo sapiens [Characteristics] tissue: melanoma treatment protocol: M-VAX preservation: cryopreservation patient: 1 [Extracted molecule] total RNA [Extraction protocol] Total RNA extracted using Qiagen's RNEasy Mini kit following manufacturer's instructions [Label] Cy5 [Label protocol] 0.5 µg of total RNA was primed with 0.25 ug oligo dT-T7 primer (5’ AAA CGA CGG CCA GTG AAT TGT AAT ACG ACT CAC TAT AGG CGC T(15) 3’) at 70°C for 3 min, then reverse transcribed at 42°C for 90 min in the presence of 200 U SuperScript II RTase (Invitrogen), and 1 mM dNTP. Second strand synthesis was done with the 5’ primer switch method using 0.25 ug Ts/SMARTII primers (5’ AAG CAG TGG TAA CAA CGC AGA GTA CGC GGG 3’) for priming at 65°C for 1 min, and subsequent primer extension at 75°C for 30 min using the Advantage cDNA Polymerase Mix (Clontech) and 0.2mM dNTP. Double stranded cDNA subjected to in vitro transcription at 42°C for 6h using Megascript T7 kit (Ambion). After two rounds of linear amplification, cRNA was chemically labeled using ULS Cy3/Cy5 Fluorescent Labeling Kit (Kreatech), and fragmented by Fragmentation Reagents kit (Ambion)., Channel 2 [Source name] Total RNA from pooled PBMC [Organism] Homo sapiens [Characteristics] tissue: Blood preservation: cryopreservation reference: Total RNA from pooled PBMC [Extracted molecule] total RNA [Extraction protocol] Total RNA extracted using Qiagen's RNEasy Mini kit following manufacturer's instructions [Label] Cy3 [Label protocol] 0.5 µg of total RNA was primed with 0.25 ug oligo dT-T7 primer (5’ AAA CGA CGG CCA GTG AAT TGT AAT ACG ACT CAC TAT AGG CGC T(15) 3’) at 70°C for 3 min, then reverse transcribed at 42°C for 90 min in the presence of 200 U SuperScript II RTase (Invitrogen), and 1 mM dNTP. Second strand synthesis was done with the 5’ primer switch method using 0.25 ug Ts/SMARTII primers (5’ AAG CAG TGG TAA CAA CGC AGA GTA CGC GGG 3’) for priming at 65°C for 1 min, and subsequent primer extension at 75°C for 30 min using the Advantage cDNA Polymerase Mix (Clontech) and 0.2mM dNTP. Double stranded cDNA subjected to in vitro transcription at 42°C for 6h using Megascript T7 kit (Ambion). After two rounds of linear amplification, cRNA was chemically labeled using ULS Cy3/Cy5 Fluorescent Labeling Kit (Kreatech), and fragmented by Fragmentation Reagents kit (Ambion)., [Hybridization protocol] 6 ug of labeled, fragmented cRNA per sample was applied to microarrays in Kreatech's Hybridization buffer, and hybridized for 16 h at 42C. After hybridization, slides were washed three four times with wash solutions containg gradually decreased concentrations of SSC (1x-0x) [Scan protocol] Scanned on an Agilent DNA Microarray Scanner. Images were quantified using Agilent Feature Extraction Software (version A.9.5.3). [Description] metastasis non responding after M-VAX immunotherapy 2 [Data processing] LOWESS normalized, background subtracted data obtained from log2 of processed Red signal/processed Green signal. Agilent software was used for feature extraction., 3. Sample GSM592228. Title: melanoma progressing 3. Sample type: RNA. Platform ID: GPL7088. Series (2): GSE24067 Progressing vs regressing melanoma metastases; GSE26383 Response to immunotherapy in melanoma metastasis, Channel 1 [Source name] melanoma, progressing [Organism] Homo sapiens [Characteristics] tissue: melanoma treatment protocol: M-VAX preservation: cryopreservation patient: 1 [Extracted molecule] total RNA [Extraction protocol] Total RNA extracted using Qiagen's RNEasy Mini kit following manufacturer's instructions [Label] Cy5 [Label protocol] 0.5 µg of total RNA was primed with 0.25 ug oligo dT-T7 primer (5’ AAA CGA CGG CCA GTG AAT TGT AAT ACG ACT CAC TAT AGG CGC T(15) 3’) at 70°C for 3 min, then reverse transcribed at 42°C for 90 min in the presence of 200 U SuperScript II RTase (Invitrogen), and 1 mM dNTP. Second strand synthesis was done with the 5’ primer switch method using 0.25 ug Ts/SMARTII primers (5’ AAG CAG TGG TAA CAA CGC AGA GTA CGC GGG 3’) for priming at 65°C for 1 min, and subsequent primer extension at 75°C for 30 min using the Advantage cDNA Polymerase Mix (Clontech) and 0.2mM dNTP. Double stranded cDNA subjected to in vitro transcription at 42°C for 6h using Megascript T7 kit (Ambion). After two rounds of linear amplification, cRNA was chemically labeled using ULS Cy3/Cy5 Fluorescent Labeling Kit (Kreatech), and fragmented by Fragmentation Reagents kit (Ambion)., Channel 2 [Source name] Total RNA from pooled PBMC [Organism] Homo sapiens [Characteristics] tissue: Blood preservation: cryopreservation reference: Total RNA from pooled PBMC [Extracted molecule] total RNA [Extraction protocol] Total RNA extracted using Qiagen's RNEasy Mini kit following manufacturer's instructions [Label] Cy3 [Label protocol] 0.5 µg of total RNA was primed with 0.25 ug oligo dT-T7 primer (5’ AAA CGA CGG CCA GTG AAT TGT AAT ACG ACT CAC TAT AGG CGC T(15) 3’) at 70°C for 3 min, then reverse transcribed at 42°C for 90 min in the presence of 200 U SuperScript II RTase (Invitrogen), and 1 mM dNTP. Second strand synthesis was done with the 5’ primer switch method using 0.25 ug Ts/SMARTII primers (5’ AAG CAG TGG TAA CAA CGC AGA GTA CGC GGG 3’) for priming at 65°C for 1 min, and subsequent primer extension at 75°C for 30 min using the Advantage cDNA Polymerase Mix (Clontech) and 0.2mM dNTP. Double stranded cDNA subjected to in vitro transcription at 42°C for 6h using Megascript T7 kit (Ambion). After two rounds of linear amplification, cRNA was chemically labeled using ULS Cy3/Cy5 Fluorescent Labeling Kit (Kreatech), and fragmented by Fragmentation Reagents kit (Ambion)., [Hybridization protocol] 6 ug of labeled, fragmented cRNA per sample was applied to microarrays in Kreatech's Hybridization buffer, and hybridized for 16 h at 42C. After hybridization, slides were washed three four times with wash solutions containg gradually decreased concentrations of SSC (1x-0x) [Scan protocol] Scanned on an Agilent DNA Microarray Scanner. Images were quantified using Agilent Feature Extraction Software (version A.9.5.3). [Description] metastasis non responding after M-VAX immunotherapy 3 [Data processing] LOWESS normalized, background subtracted data obtained from log2 of processed Red signal/processed Green signal. Agilent software was used for feature extraction., 4. Sample GSM592229. Title: melanoma regressing 1. Sample type: RNA. Platform ID: GPL7088. Series (2): GSE24067 Progressing vs regressing melanoma metastases; GSE26383 Response to immunotherapy in melanoma metastasis., Channel 1 [Source name] melanoma, regressing [Organism] Homo sapiens [Characteristics] tissue: melanoma treatment protocol: M-VAX preservation: cryopreservation patient: 1 [Extracted molecule] total RNA [Extraction protocol] Total RNA extracted using Qiagen's RNEasy Mini kit following manufacturer's instructions [Label] Cy5 [Label protocol] 0.5 µg of total RNA was primed with 0.25 ug oligo dT-T7 primer (5’ AAA CGA CGG CCA GTG AAT TGT AAT ACG ACT CAC TAT AGG CGC T(15) 3’) at 70°C for 3 min, then reverse transcribed at 42°C for 90 min in the presence of 200 U SuperScript II RTase (Invitrogen), and 1 mM dNTP. Second strand synthesis was done with the 5’ primer switch method using 0.25 ug Ts/SMARTII primers (5’ AAG CAG TGG TAA CAA CGC AGA GTA CGC GGG 3’) for priming at 65°C for 1 min, and subsequent primer extension at 75°C for 30 min using the Advantage cDNA Polymerase Mix (Clontech) and 0.2mM dNTP. Double stranded cDNA subjected to in vitro transcription at 42°C for 6h using Megascript T7 kit (Ambion). After two rounds of linear amplification, cRNA was chemically labeled using ULS Cy3/Cy5 Fluorescent Labeling Kit (Kreatech), and fragmented by Fragmentation Reagents kit (Ambion)., Channel 2 [Source name] Total RNA from pooled PBMC [Organism] Homo sapiens [Characteristics] tissue: Blood preservation: cryopreservation reference: Total RNA from pooled PBMC [Extracted molecule] total RNA [Extraction protocol] Total RNA extracted using Qiagen's RNEasy Mini kit following manufacturer's instructions [Label] Cy3 [Label protocol] 0.5 µg of total RNA was primed with 0.25 ug oligo dT-T7 primer (5’ AAA CGA CGG CCA GTG AAT TGT AAT ACG ACT CAC TAT AGG CGC T(15) 3’) at 70°C for 3 min, then reverse transcribed at 42°C for 90 min in the presence of 200 U SuperScript II RTase (Invitrogen), and 1 mM dNTP. Second strand synthesis was done with the 5’ primer switch method using 0.25 ug Ts/SMARTII primers (5’ AAG CAG TGG TAA CAA CGC AGA GTA CGC GGG 3’) for priming at 65°C for 1 min, and subsequent primer extension at 75°C for 30 min using the Advantage cDNA Polymerase Mix (Clontech) and 0.2mM dNTP. Double stranded cDNA subjected to in vitro transcription at 42°C for 6h using Megascript T7 kit (Ambion). After two rounds of linear amplification, cRNA was chemically labeled using ULS Cy3/Cy5 Fluorescent Labeling Kit (Kreatech), and fragmented by Fragmentation Reagents kit (Ambion)., Hybridization protocol 6 ug of labeled, fragmented cRNA per sample was applied to microarrays in Kreatech's Hybridization buffer, and hybridized for 16 h at 42C. After hybridization, slides were washed three four times with wash solutions containg gradually decreased concentrations of SSC (1x-0x) [Scan protocol] Scanned on an Agilent DNA Microarray Scanner. Images were quantified using Agilent Feature Extraction Software (version A.9.5.3). [Description] metastasis responding after M-VAX immunotherapy 1 [Data processing] LOWESS normalized, background subtracted data obtained from log2 of processed Red signal/processed Green signal. Agilent software was used for feature extraction., 5. Sample GSM592230. Title: melanoma regressing 2. Sample type: RNA. Platform ID: GPL7088. Series (2): GSE24067 Progressing vs regressing melanoma metastases; GSE26383 Response to immunotherapy in melanoma metastasis., Channel 1 [Source name] melanoma, regressing [Organism] Homo sapiens [Characteristics] tissue: melanoma treatment protocol: M-VAX preservation: cryopreservation patient: 1 [Extracted molecule] total RNA [Extraction protocol] Total RNA extracted using Qiagen's RNEasy Mini kit following manufacturer's instructions [Label] Cy5 [Label protocol] 0.5 µg of total RNA was primed with 0.25 ug oligo dT-T7 primer (5’ AAA CGA CGG CCA GTG AAT TGT AAT ACG ACT CAC TAT AGG CGC T(15) 3’) at 70°C for 3 min, then reverse transcribed at 42°C for 90 min in the presence of 200 U SuperScript II RTase (Invitrogen), and 1 mM dNTP. Second strand synthesis was done with the 5’ primer switch method using 0.25 ug Ts/SMARTII primers (5’ AAG CAG TGG TAA CAA CGC AGA GTA CGC GGG 3’) for priming at 65°C for 1 min, and subsequent primer extension at 75°C for 30 min using the Advantage cDNA Polymerase Mix (Clontech) and 0.2mM dNTP. Double stranded cDNA subjected to in vitro transcription at 42°C for 6h using Megascript T7 kit (Ambion). After two rounds of linear amplification, cRNA was chemically labeled using ULS Cy3/Cy5 Fluorescent Labeling Kit (Kreatech), and fragmented by Fragmentation Reagents kit (Ambion)., Channel 2 [Source name] Total RNA from pooled PBMC [Organism] Homo sapiens [Characteristics] tissue: Blood preservation: cryopreservation reference: Total RNA from pooled PBMC [Extracted molecule] total RNA [Extraction protocol] Total RNA extracted using Qiagen's RNEasy Mini kit following manufacturer's instructions [Label] Cy3 [Label protocol] 0.5 µg of total RNA was primed with 0.25 ug oligo dT-T7 primer (5’ AAA CGA CGG CCA GTG AAT TGT AAT ACG ACT CAC TAT AGG CGC T(15) 3’) at 70°C for 3 min, then reverse transcribed at 42°C for 90 min in the presence of 200 U SuperScript II RTase (Invitrogen), and 1 mM dNTP. Second strand synthesis was done with the 5’ primer switch method using 0.25 ug Ts/SMARTII primers (5’ AAG CAG TGG TAA CAA CGC AGA GTA CGC GGG 3’) for priming at 65°C for 1 min, and subsequent primer extension at 75°C for 30 min using the Advantage cDNA Polymerase Mix (Clontech) and 0.2mM dNTP. Double stranded cDNA subjected to in vitro transcription at 42°C for 6h using Megascript T7 kit (Ambion). After two rounds of linear amplification, cRNA was chemically labeled using ULS Cy3/Cy5 Fluorescent Labeling Kit (Kreatech), and fragmented by Fragmentation Reagents kit (Ambion)., [Hybridization protocol] 6 ug of labeled, fragmented cRNA per sample was applied to microarrays in Kreatech's Hybridization buffer, and hybridized for 16 h at 42C. After hybridization, slides were washed three four times with wash solutions containg gradually decreased concentrations of SSC (1x-0x) [Scan protocol] Scanned on an Agilent DNA Microarray Scanner. Images were quantified using Agilent Feature Extraction Software (version A.9.5.3). [Description] metastasis responding after M-VAX immunotherapy 2 [Data processing] LOWESS normalized, background subtracted data obtained from log2 of processed Red signal/processed Green signal. Agilent software was used for feature extraction., We documented the transcriptional pattern of 3 progressing and 2 regressing synchronous melanoma metastases from the same patient following M-VAX treatment.

Proyecto: //
DOI: http://hdl.handle.net/10481/31632
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/31632
HANDLE: http://hdl.handle.net/10481/31632
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/31632
PMID: http://hdl.handle.net/10481/31632
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/31632
Ver en: http://hdl.handle.net/10481/31632
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/31632

CORA.Repositori de Dades de Recerca
doi:10.34810/data510
Dataset. 2010

UNINTERPRETED SECTIONS OF SANDBOX ANALOG MODELS INVOLVING SALT-BEARING RIFTED MARGINS AND SALT-BEARING RIFTED MARGINS INCORPORATED INTO FOLD-AND-THRUST BELTS

  • Santolaria, Pablo
  • Granado, Pablo
This dataset consists of three images resulting from a sandbox analog modeling experimental program. Sandbox analog modeling of tectonic processes is an experimental technique aiming to simulate and study natural geological processes by means of scaled models. Experimental models are scaled in dimensions, time and rheology, by using different analog materials such as colored sand or silicone. Models are performed in sandboxes that contain the analog materials. These analog materials are deformed according to specific testing parameters. At the end of the experiments, models are consolidated and sliced, and these slices photographed (sections). The figures in this dataset represent the uninterpreted sections of three sandbox analog models that experimentally simulate a salt-bearing rifted margin, a salt-bearing rifted margin incorporated into fold-and-thrust belt and a salt-bearing rifted margin incorporated into fold-and-thrust belt that grown coeval with surface processes (erosion and sedimentation). The experimental program was executed at the GEOMODELS Analogue Modelling Laboratory at the University of Barcelona.

Proyecto: //
DOI: https://doi.org/10.34810/data510
CORA.Repositori de Dades de Recerca
doi:10.34810/data510
HANDLE: https://doi.org/10.34810/data510
CORA.Repositori de Dades de Recerca
doi:10.34810/data510
PMID: https://doi.org/10.34810/data510
CORA.Repositori de Dades de Recerca
doi:10.34810/data510
Ver en: https://doi.org/10.34810/data510
CORA.Repositori de Dades de Recerca
doi:10.34810/data510

Helvia. Repositorio Institucional de la Universidad de Córdoba
oai:helvia.uco.es:10396/4802
Imagen (Image). 2010

KNOWLEDGE TRANSFER IN THE MEDITERRANEAN WORLD

THIRD INTERNATIONAL CONGRESS ON EASTERN CHRISTIANITY


Proyecto: //
DOI: http://hdl.handle.net/10396/4802
Helvia. Repositorio Institucional de la Universidad de Córdoba
oai:helvia.uco.es:10396/4802
HANDLE: http://hdl.handle.net/10396/4802
Helvia. Repositorio Institucional de la Universidad de Córdoba
oai:helvia.uco.es:10396/4802
PMID: http://hdl.handle.net/10396/4802
Helvia. Repositorio Institucional de la Universidad de Córdoba
oai:helvia.uco.es:10396/4802
Ver en: http://hdl.handle.net/10396/4802
Helvia. Repositorio Institucional de la Universidad de Córdoba
oai:helvia.uco.es:10396/4802

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/22449
Dataset. 2010

SPEIBASE: A GLOBAL 0.5º GRIDDED SPEI DATA BASE (I. NETCDF) [DATASET]

  • Beguería, Santiago
  • Beguería, Santiago
  • Vicente Serrano, Sergio M.
The dataset is freely available on the web repository of the Spanish National Research Council (CSIC) in three different formats (NetCDF, binary raster, and plain text)., Format: netcdf The netcdf archive is composed of 96 zipped files containing the spei dataset from 1901 to 2006 at 1 to 48 months time scales, separated for the East hemisphere (i.e. Europa, Africa, Asia and Australia) and the West hemisphere (the Americas). Each zipped file contains one single netCDF file (.nc), i.e. no header files are necessary because all necessary meta-data are self-contained in the .nc file. Naming convention spei_[tempscale]_[hemisphere].zip, where [tempscale] is a number between 1 and 48 indicating the temporal scale of the index (months), and [hemisphere] indicates the fraction of the World covered and can have values eh (East hemisphere) or wh (West hemisphere). Example: spei_12_eh.zip, The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. Use of the newest version is recommended. Older versions are still available to allow replicability., All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types., A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/22449
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/22449
HANDLE: http://hdl.handle.net/10261/22449
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/22449
PMID: http://hdl.handle.net/10261/22449
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/22449
Ver en: http://hdl.handle.net/10261/22449
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/22449

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23051
Dataset. 2010

SPEIBASE: A GLOBAL 0.5º GRIDDED SPEI DATA BASE (RAW BINARY)

  • Beguería, Santiago
  • Vicente Serrano, Sergio M.
The dataset is freely available on the web repository of the Spanish National Research Council (CSIC) in three different formats (NetCDF, binary raster, and plain text)., Format: raw binary. The raw binary archive is composed of 576 zipped files, corresponding to the SPEI index at time scales between 1 and 48 months for the whole World and divided by decades (except the last file, containing only data for the period 2001-2006). Each zipped file contains three files, one with the data itselt (.img), and two headers (.doc and .hdr). The information contained in the header files is equivalent, and allows direct access to the data using some widely used commercial programs. Naming convention: spei[tempscale]_[decade].zip, where [tempscale] is a number between 1 and 48 indicating the temporal scale of the index (months), and [decade] indicates the years of data contained in the file. Example: spei12_1910-1919.zip. All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types. A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html, The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. Use of the newest version is recommended. Older versions are still available to allow replicability., All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types., A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html

Proyecto: //
DOI: http://hdl.handle.net/10261/23051
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23051
HANDLE: http://hdl.handle.net/10261/23051
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23051
PMID: http://hdl.handle.net/10261/23051
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23051
Ver en: http://hdl.handle.net/10261/23051
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23051

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23139
Dataset. 2010

SPEIBASE: A GLOBAL 0.5º GRIDDED SPEI DATA BASE (PLAIN TEXT)

  • Beguería, Santiago
  • Beguería, Santiago
  • Vicente Serrano, Sergio M.
The dataset is freely available on the web repository of the Spanish National Research Council (CSIC) in three different formats (NetCDF, binary raster, and plain text)., Format: The plain text archive is composed of 576 zipped files, corresponding to the SPEI index at time scales between 1 and 48 months for the whole World and divided by decades (except the last file, containing only data for the period 2001-2006). Each zipped file contains one plain text file (.csv). Data on those files are separated by commas, ′,'. Naming convention: spei[tempscale]_[decade].zip, where [tempscale] is a number between 1 and 48 indicating the temporal scale of the index (months), and [decade] indicates the years of data contained in the file. Example: spei12_1910-1919.zip. Data are stored as plain text separated by commas, ','. Each file contains the following columns: GRAPH_ID (cell identification), X (longitude coordinate), Y (latitude coordinate), mmmaaaa (the monthly SPEI values, e.g. Jan1910)., The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. Use of the newest version is recommended. Older versions are still available to allow replicability., All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types., A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html

Proyecto: //
DOI: http://hdl.handle.net/10261/23139
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23139
HANDLE: http://hdl.handle.net/10261/23139
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23139
PMID: http://hdl.handle.net/10261/23139
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23139
Ver en: http://hdl.handle.net/10261/23139
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/23139

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