Resultados totales (Incluyendo duplicados): 33869
Encontrada(s) 3387 página(s)
Encontrada(s) 3387 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330824
Dataset. 2023
CHROMATOGRAPHIC DATA FOR THE DETERMINATION OF TRIAZINES IN WATER AND URINE SAMPLES ASSOCIATED TO FIGURES 6 AND 7 (IN CSV) OF THE PAPER "HYDROPHOBIC NATURAL DEEP EUTECTIC SOLVENTS BASED ON L-MENTHOL AS SUPPORTED LIQUID MEMBRANE FOR HOLLOW FIBER LIQUID-PHASE MICROEXTRACTION OF TRIAZINES FROM WATER AND URINE SAMPLES" TO BE PUBLISHED IN MICROCHEMICAL JOURNAL
- Díaz-Álvarez, Myriam
- Turiel Trujillo, Esther
- Martín Esteban, Antonio
In this work, the use of a hydrophobic natural deep eutectic solvent (NADES) as supported liquid membrane (SLM) for hollow fiber liquid-phase microextraction (HF-LPME) of triazines is proposed. The combination of formic acid:L-menthol (2:1) was selected as optimum.
The optimized HF-LPME procedure was applied to the analysis of an artificial water containing humic acids, tap and river water, and urine samples by HPLC with UV detection at 268 nm. The chromatographic data associated to Fig.6 and 7 of paper submitted to Microchemical Journal are provided as csv files as follows:
Fig6a: Milli-Q water; Fig6b; artificial water; Fig7a: Tap water; Fig7b: River water; Fig7c: Urine river. All the samples were spiked with selected sulfonamides at 5 µg/L concentration level., "Hacia un analisis medioambiental verde: nuevos disolventes, materiales y dispositivos (GREENNESS)" (Grant PID2021-122327OB-I00 funded by MCIN/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe”)., Fig6a_Díaz-Álvarez_Turiel and Martín-Esteban.csv,
Fig6b_Díaz-Álvarez_Turiel and Martín-Esteban.csv,
Fig7a_Díaz-Álvarez_Turiel and Martín-Esteban.csv,
Fig7b_Díaz-Álvarez_Turiel and Martín-Esteban.csv,
Fig7c_Díaz-Álvarez_Turiel and Martín-Esteban.csv, Peer reviewed
Proyecto: AEI//PID2021-122327OB-I00
DOI: http://hdl.handle.net/10261/330824, https://doi.org/10.20350/digitalCSIC/15434
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330824
HANDLE: http://hdl.handle.net/10261/330824, https://doi.org/10.20350/digitalCSIC/15434
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330824
PMID: http://hdl.handle.net/10261/330824, https://doi.org/10.20350/digitalCSIC/15434
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330824
Ver en: http://hdl.handle.net/10261/330824, https://doi.org/10.20350/digitalCSIC/15434
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330824
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330827
Dataset. 2022
SUPPLEMENTARY MATERIALS FOR NEW ROLES FOR AP-1/JUNB IN CELL CYCLE CONTROL AND TUMORIGENIC CELL INVASION VIA REGULATION OF CYCLIN E1 AND TGF-SS2
- Pérez-Benavente, Beatriz
- Fathinajafabadi, Alihamze
- Fuente, Lorena de la
- Gandía, Carolina
- Martínez-Férriz, Arantxa
- Pardo-Sánchez, José Miguel
- Milián, Lara
- Conesa, Ana
- Romero, Octavio A.
- Carretero, Julián
- Matthiesen, Rune
- Jariel-Encontre, Isabelle
- Piechaczyk, Marc
- Farràs, Rosa
Additional file 2: Table S1. Regulated genes in siJUNB-transfected cells compared to siControl-transfected cells.
Additional file 3: Table S2. High-confidence JUNB regulated genes involved in cell cycle regulation and E2F pathway.
Additional file 4: Table S3. High-confidence JUNB regulated genes involved in EMT and TGFB signalling.
Additional file 5: Table S4. Genes assigned to JunB binding sites. Each peak was assigned to the nearest TSS.
Additional file 6: Table S5. High-confidence JUNB regulated genes containing JUNB binding sites of ChIP-seq analysis.
Additional file 7: Table S6. List of antibodies used for western blot, immunofluorescence and immunohistochemistry.
Additional file 8: Table S7. List of primers used for real-time PCR.
Additional file 9: Table S8. List of siRNA.
Additional file 10. Review history., Additional file 1: Figure S1. Depletion of JUNB inhibits cell proliferation in epithelial cancer cells. Figure S2. Validation by RT-qPCR of a panel of JUNB targets genes identified in the transcriptome approach and involved in cell cycle regulation and cell proliferation. Figure S3. JUNB binding at the TGFB2, RBPJ, ERCC2 and RPTOR locus. Figure S4. JUNB binds to and regulates the expression of TGFB2 gene. Figure S5. JUNB binds to and regulates the expression of CCNE1 gene. Figure S6. Overexpression of JUNB promotes TGFB2 signaling-induced EMT. Figure S7. H&E images and IHC images of GFP expression in UTA6-Control, UTA6-JUNB primary tumors and metastatic lung and liver lesions. Figure S8. JUNB and GFP expression in UTA6-UTA6-JUNB primary tumors and metastatic lung and liver lesions. Figure S9. IHC images of JUNB, TGFB2, CCNE1, Fibronectin and Integrin β1 in UTA6-Control and UTA6-JUNB primary tumors, and of JUNB, TGFB2 and CCNE1 in metastatic lung and liver lesions. Figure S10. JUNB amplification in breast and ovarian cancers is associated with poor survival. Figure S11. Expression of JUNB protein in breast cancer is associated with poor survival. Supplemental methods for cell proliferation by living cell imaging. Figure S12. Uncropped western blot gel images in Fig. 1B. The dotted line boxes highlight lanes used in figures. Figure S13. Uncropped western blot gel images in Fig. 2D. The dotted line boxes highlight lanes used in figures. Figure S14. Uncropped western blot gel images in Fig. 4E. The dotted line boxes highlight lanes used in figures. Figure S15. Uncropped western blot gel images in Fig. 5 A-B. The dotted line boxes highlight lanes used in figures. Figure S16. Uncropped western blot gel images in Fig. 6 B and F. The dotted line boxes highlight lanes used in figures. Figure S17. Uncropped western blot gel images in Fig. S1A and S1E. The dotted line boxes highlight lanes used in figures. Figure S18. Uncropped western blot gel images in Fig. S2E. The dotted line boxes highlight lanes used in figures. Figure S19. Uncropped western blot gel images in Figure S4C and S4D. The dotted line boxes highlight lanes used in figures. Figure S20. Uncropped western blot gel images in Figure S5A. The dotted line boxes highlight lanes used in figures. Figure S21. Uncropped western blot gel images in Figure S6A and S6C. The dotted line boxes highlight lanes used in figures., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330827
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330827
HANDLE: http://hdl.handle.net/10261/330827
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330827
PMID: http://hdl.handle.net/10261/330827
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330827
Ver en: http://hdl.handle.net/10261/330827
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330827
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330831
Dataset. 2022
THE PRESENCE OF BLASTOCYSTIS IN GUT MICROBIOTA IS ASSOCIATED WITH COGNITIVE TRAITS AND DECREASED EXECUTIVE FUNCTION [DATASET]
- Mayneris-Perxachs, Jordi
- Arnoriaga-Rodríguez, María
- Garre-Olmo, Josep
- Puig, Josep
- Ramos, Rafel
- Trelis, Maria
- Burokas, Aurelijus
- Coll, Clàudia
- Zapata-Tona, Cristina
- Pedraza, Salvador
- Pérez-Brocal, Vicente
- Ramió-Torrentà, Lluís
- Ricart, Wifredo
- Moya, Andrés
- Jové, Mariona
- Sol, Joaquim
- Portero-Otín, Manuel
- Pamplona, Reinald
- Maldonado, Rafael
- Fernández-Real, José Manuel
1. metadata_BLASTOCYSTIS
Contains relevant clinical and cognitive information about the subjects: age, BMI, sex, years of ecudation and measures of executive function (total digit Span, trail making test part B, stroop interference).
2. Metabolomics_Plasma_HPLC_MS_positive_mode
Contains the plasma metabolomic raw data (intensities) measured by HPLC-ESI-MS/MS in positive mode for each subjects according to the mass and retention time (mass@retention time).
3. Metabolomics_Plasma_HPLC_MS_negative_mode
Contains the plasma metabolomic raw data (intensities) measured by HPLC-ESI-MS/MS in negative mode for each subjects according to the mass and retention time (mass@retention time).
4. Metabolomics_Plasma_NMR
Contains the integrations of the plasma metabolites measures by 1H-NMR for each subject.
5. Metabolomics_Feces_HPLC_MS_positive_mode
Contains the fecal metabolomic raw data (intensities) measured by HPLC-ESI-MS/MS in positive mode for each subjects according to the mass and retention time (mass@retention time).
6. Metabolomics_Feces_HPLC_MS_negative_mode
Contains the fecal metabolomic raw data (intensities) measured by HPLC-ESI-MS/MS in negative mode for each subjects according to the mass and retention time (mass@retention time).
7. Metabolomics_Feces_NMR
Contains the integrations of the fecal metabolites measures by 1H-NMR for each subject., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330831
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330831
HANDLE: http://hdl.handle.net/10261/330831
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330831
PMID: http://hdl.handle.net/10261/330831
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330831
Ver en: http://hdl.handle.net/10261/330831
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330831
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330836
Dataset. 2022
SUPPLEMENTARY DATASETS FOR MANUSCRIPT BIORXIV HTTPS://DOI.ORG/10.1101/2022.06.03.494642
- Gutiérrez, Pablo A.
- Elena, Santiago F.
Supplementary Data 1. Database of reference human messenger RNAs and SARS-CoV-2 genomes used for mapping reads. Raw count matrices.
Supplementary Data 2. Expression matrices and transcript levels in uninfected cells.
Supplementary Data 3. Differential Expressed Gene analysis used in the volcano plots analysis. Datasets and results used in the Gene Ontology analyses. Classification of outliers.
Supplementary Data 4. Transcriptional profiles for all genes in each cell type.
Supplementary Data 5. Networks used in the analyses presented in Figs. 5 and 6.
Supplementary Data 6. Transcriptional analysis of human astrovirus 1 infection in ileum organoids., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330836
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330836
HANDLE: http://hdl.handle.net/10261/330836
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330836
PMID: http://hdl.handle.net/10261/330836
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330836
Ver en: http://hdl.handle.net/10261/330836
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330836
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330845
Dataset. 2022
KIN RECOGNITION IN DROSOPHILA: REARING ENVIRONMENT AND RELATEDNESS CAN MODULATE GUT MICROBIOTA AND CUTICULAR HYDROCARBON ODOUR PROFILES [DATASET]
- García-Roa, Roberto
- Domínguez-Santos, Rebeca
- Pérez-Brocal, Vicente
- Moya, Andrés
- Latorre, Amparo
- Carazo, Pau
From inbreeding avoidance to kin-selected cooperation, social behaviours are frequently reliant on kin recognition. However, kin recognition mechanisms are costly to evolve and currently not very well understood. Recent evidence suggests that, by altering their host’s odour, gut and other host-associated microorganisms may provide a promising avenue for understanding kin recognition. In Drosophila melanogaster, kin recognition can mediate mate choice, sexual conflict and larval competition/cooperation, underscoring its important functional role. As is commonly the case, kin recognition in this species depends on both familiarity (i.e. shared rearing environment) and relatedness, and seems to rely mainly on body odours determined by cuticular hydrocarbons. Here, we investigated the degree to which larval rearing environment and relatedness (full-sibs vs. unrelated) determine co-variation between gut microbiota and cuticular hydrocarbons in D. melanogaster. We found that rearing environment strongly determined both microbiota and cuticular hydrocarbon composition, but that these effects were independent from each other. In contrast, relatedness did not influence microbiota composition, but had a strong influence on microbiota diversity, which in turn covaried significantly with cuticular hydrocarbon composition. Our results show that, in D. melanogaster, odours may convey information about both familiarity and relatedness via an interaction between: a) direct effects of the rearing environment on cuticular hydrocarbons and b) indirect effects of relatedness on cuticular hydrocarbons via gut microbiota diversity., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330845
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330845
HANDLE: http://hdl.handle.net/10261/330845
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330845
PMID: http://hdl.handle.net/10261/330845
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330845
Ver en: http://hdl.handle.net/10261/330845
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330845
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330847
Dataset. 2023
LONG-TERM MONITORING OF THE DISTRIBUTION AND RELATIVE ABUNDANCE OF THE MEDITERRANEAN SPUR-THIGHED TORTOISE (TESTUDO GRAECA) IN DOÑANA 2005-2023
- Andreu, Ana C.
- Arribas, Rosa
- Román, Isidro
- Paz Sánchez, David Antonio
- López, Diego
- Márquez-Ferrando, Rocío
- Díaz-Delgado, Ricardo
- Bustamante, Javier
[Description of methods used for collection/generation of data]: This dataset includes records of the monitoring of the distribution and relative abundance of the Mediterranean Spur-Thighed Tortoise (Testudo graeca) in Doñana
since 2005 as part of the monitoring program of natural resources and processes in Doñana. One of the aims of this project was to obtain a temporal and continuous
series of data of the distribution and abundance of this species to detect changes and trends in the population within the protected area.
The study area is Doñana National Park, south-west of Spain, which is one of the two areas of distribution of this species in the south of Spain.
The tortoise population of Doñana has been monitored since 1973 for other research studies (Andreu, A.C., 2000; Díaz-Paniagua, C. et al., 2001).
Individuals are usually present along the border of temporal marshes and between dunes with vegetation composed by mediterranean scrub, scattered
oaks and pine trees of medium and low cover. The method used to monitor long-term changes throughout time is the transect survey looking for tortoise
tracks, which can be easily detected in the sandy substrates up to 3 days if there are good weather conditions (moderate temperatures, absence of rains or strong wind).
The transects (n=10) are distributed within the whole study area (see decimal coordinates of the starting and end of the survey in the dataset as “verbatimCoordinate”)
and runs along linear sand trails (n=8) across mediterranean vegetation and throughout circular dunes transects (n=2). Transects have different length ranged between 2-10 kms.
The length of the transect is established since the beginning of the study, however it may be variable when a section of the trails is inaccessible because of flooding or when
it overlaps with the breeding area of a protected bird species. In these cases, alternative sections of the trail are established to complete the survey. In total, approximately
60 kms are sampled in Doñana Natural Area.
Surveys are designed to be performed every two years, however we include data for every year only for dunes transects since these transects
overlap with those corresponding to annual surveys of lizards and geckos in dunes, which are included in the same monitoring program of natural
resources and processes in Doñana. The transects are conducted by members of the monitoring team usually three times by year in spring or two times
in spring (March-May) and once in autumn (October), when the active period of the species is optimal. The census is performed from the front part of the car,
at 5-8 km/h, which permits a correct identification of the tortoise tracks. However, the transects in dunes are always performed on foot, as there are not car trails.
In most censuses performed in 2021 the car was not available and were conducted on foot. The minimum length interval between census is 7 days.
At least two days of good weather conditions are needed to perform the surveys (days without rain, strong wind and without night frost) to ensure the activity of the tortoises.
Data recorded during the surveys include the number of individual tortoise tracks observed, life stage when a correct identification is possible
(adult or juvenile), sex (recorded when the individual is observed during the survey too), as well as length transect, time and georeferenced data
of the observation. Other information as weather description: sky conditions, temperature, precipitation and wind conditions. Wind speed is registered
according to Beafourt scale where 0: 0-1 km/h, 1: 1-5 km/h, 2: 6-11 km/h, 3: 12-19 km/h, 4: 20-28 km/h, 5: 29 a 38 km/h.
Between 2005-2007 data were registered in paper and transfer directly in an Excel file. During this period only the number of the tortoise tracks
were recorded but not geographic coordinates information of each track could be taken. Since 2008 data are recorded with the app CyberTracker (see protocol)
which allows that all geographic coordinates of the tortoise tracks are recorded. The protocol used has been supervised by herpetological researchers and the
data have been validated by the coordinators who have also performed the transects., Dataset are structured following well-established data formats Darwing Core. Three files are provided. The first file (icts-rbd_TesGra_ev_20230710) contains the information of the project, the institution and the description each event (time of occurrence, geographical coordinates, habitat type, etc…). The eventID code has been built with the code of the transect and eventDate. The second file (icts-rbd_TesGra_occ_20230710) contains the information of the occurrences of species recorded in each transect, taxonomic classification or the geographical coordinates of its observation. The occurrenceID has been built with the eventID code plus a number regarding the number of observations recorded for this event. The third file (icts-rbd_TesGra_mof_20230710) provides information of the description of the meteorological variables measured., This dataset includes records of the monitoring of the distribution and relative abundance of the Mediterranean Spur-Thighed Tortoise (Testudo graeca) in Doñana since 2005 as part of the monitoring program of natural resources and processes in Doñana. One of the aims of this project was to obtain a temporal and continuous series of data of the distribution and abundance of this species to detect changes and trends in the population within the protected area.
The study area is Doñana National Park, south-west of Spain, which is one of the two areas of distribution of this species in the south of Spain. The tortoise population of Doñana has been monitored since 1973 for other research studies (Andreu, A.C., 2000; Díaz-Paniagua, C. et al., 2001). Individuals are usually present along the border of temporal marshes and between dunes with vegetation composed by mediterranean scrub, scattered oaks and pine trees of medium and low cover. The method used to monitor long-term changes throughout time is the transect survey looking for tortoise tracks, which can be easily detected in the sandy substrates up to 3 days if there are good weather conditions (moderate temperatures, absence of rains or strong wind).
The transects (n=10) are distributed within the whole study area (see decimal coordinates of the starting and end of the survey in the dataset as “verbatimCoordinate”) and runs along linear sand trails (n=8) across mediterranean vegetation and throughout circular dunes transects (n=2). Transects have different length ranged between 2-10 kms. The length of the transect is established since the beginning of the study, however it may be variable when a section of the trails is inaccessible because of flooding or when it overlaps with the breeding area of a protected bird species. In these cases, alternative sections of the trail are established to complete the survey. In total, approximately 60 kms are sampled in Doñana Natural Area.
Surveys are designed to be performed every two years, however we include data for every year only for dunes transects since these transects overlap with those corresponding to annual surveys of lizards and geckos in dunes, which are included in the same monitoring program of natural resources and processes in Doñana. The transects are conducted by members of the monitoring team usually three times by year in spring or two times in spring (March-May) and once in autumn (October), when the active period of the species is optimal. The census is performed from the front part of the car, at 5-8 km/h, which permits a correct identification of the tortoise tracks. However, the transects in dunes are always performed on foot, as there are not car trails. In most censuses performed in 2021 the car was not available and were conducted on foot. The minimum length interval between census is 7 days. At least two days of good weather conditions are needed to perform the surveys (days without rain, strong wind and without night frost) to ensure the activity of the tortoises.
Data recorded during the surveys include the number of individual tortoise tracks observed, life stage when a correct identification is possible (adult or juvenile), sex (recorded when the individual is observed during the survey too), as well as length transect, time and georeferenced data of the observation. Other information as weather description: sky conditions, temperature, precipitation and wind conditions. Wind speed is registered according to Beafourt scale where 0: 0-1 km/h, 1: 1-5 km/h, 2: 6-11 km/h, 3: 12-19 km/h, 4: 20-28 km/h, 5: 29 a 38 km/h.
Between 2005-2007 data were registered in paper and transfer directly in an Excel file. During this period only the number of the tortoise tracks were recorded but not geographic coordinates information of each track could be taken. Since 2008 data are recorded with the app CyberTracker (see protocol) which allows that all geographic coordinates of the tortoise tracks are recorded. The protocol used has been supervised by herpetological researchers and the data have been validated by the coordinators who have also performed the transects.
References:
Díaz-Paniagua, C., Claudia Keller and Ana C. Andreu. 2001. Long-term demographic fluctuations of the spur-thighed tortoise Testudo graeca in SW Spain. Ecography 24: 707-721. Copenhagen 2001.
Andreu, A. C., C. Díaz-Paniagua y C. Keller. 2000. La tortuga mora (Testudo graeca L.) en Doñana. Edita: Asociación Herpetológica Española. Barcelona. Monografías de Herpetología, Vol. 5: 70 pp., We acknowledge financial support from National Parks Autonomous Agency (OAPN) between 2002-2007; Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2007; Plan de Recuperación, Transformación y Resilencia and NextGeneration project EU/PRTR supported by ICT2021-006767 of the MICINN and the European Union since 2019; and Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since 2005., 1. icts-rbd_TesGra_ev_20230710: institutionID, institutionCode, datasetName, eventID, year, month, day, eventDate, continent, country, stateProvince, county, locality, verbatimCoordinates, eventTime, habitat, sampleSizeValue, sampleSizeUnit, samplingEffort, samplingProtocol, eventRemarks. 2. icts-rbd_TesGra_occ_20230710: eventID, occurrenceID, decimalLatitude, decimalLongitude, organismQuantity, organismQuantityType, occurrenceStatus, lifeStage, sex, occurrenceRemarks, kingdom, phylum, class, order, family, genus, specificEpithet, scientificName, scientificNameAuthorship, taxonRank, dynamicProperties, recordedBy, basisOfRecord. 3. icts-rbd_TesGra_mof_20230710: eventID, measurementID, measurementType, measurementValue, measurementUnit, measurementAccuracy, measurementMethod., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330847, https://doi.org/10.20350/digitalCSIC/15435
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330847
HANDLE: http://hdl.handle.net/10261/330847, https://doi.org/10.20350/digitalCSIC/15435
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330847
PMID: http://hdl.handle.net/10261/330847, https://doi.org/10.20350/digitalCSIC/15435
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330847
Ver en: http://hdl.handle.net/10261/330847, https://doi.org/10.20350/digitalCSIC/15435
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330847
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330849
Dataset. 2022
ADDITIONAL FILE 2 OF SURFACEOME ANALYSES UNCOVER CD98HC AS AN ANTIBODY DRUG-CONJUGATE TARGET IN TRIPLE NEGATIVE BREAST CANCER [DATASET]
- Montero, Juan Carlos
- Calvo-Jiménez, Elisa
- Carmen, Sofía del
- Abad, María del Mar
- Ocaña, Alberto
- Pandiella, Atanasio
Instituto de Salud Carlos III Consejo Superior de Investigaciones Científicas Consejería de Educación, Junta de Castilla y León CRIS Cancer Foundation ACMUMA UCCTA ALMOM, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330849
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330849
HANDLE: http://hdl.handle.net/10261/330849
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330849
PMID: http://hdl.handle.net/10261/330849
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330849
Ver en: http://hdl.handle.net/10261/330849
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330849
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330850
Dataset. 2022
ADDITIONAL FILE 3 OF SURFACEOME ANALYSES UNCOVER CD98HC AS AN ANTIBODY DRUG-CONJUGATE TARGET IN TRIPLE NEGATIVE BREAST CANCER [DATASET]
- Montero, Juan Carlos
- Calvo-Jiménez, Elisa
- Carmen, Sofía del
- Abad, María del Mar
- Ocaña, Alberto
- Pandiella, Atanasio
Instituto de Salud Carlos III Consejo Superior de Investigaciones Científicas Consejería de Educación, Junta de Castilla y León CRIS Cancer Foundation ACMUMA UCCTA ALMOM, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330850
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330850
HANDLE: http://hdl.handle.net/10261/330850
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330850
PMID: http://hdl.handle.net/10261/330850
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330850
Ver en: http://hdl.handle.net/10261/330850
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330850
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330851
Dataset. 2022
TABLE_2_SEARCHING FOR ABIOTIC TOLERANT AND BIOTIC STRESS RESISTANT WILD LENTILS FOR INTROGRESSION BREEDING THROUGH PREDICTIVE CHARACTERIZATION.DOCX
- Rubio Teso, María Luisa
- Lara-Romero, Carlos
- Rubiales, Diego
- Parra-Quijano, Mauricio
- Iriondo, José M.
Supplementary Material 2: Script for the application of the Filtering Method of the Predictive Characterization., Crop wild relatives are species related to cultivated plants, whose populations have evolved in natural conditions and confer them valuable adaptive genetic diversity, that can be used in introgression breeding programs. Targeting four wild lentil taxa in Europe, we applied the predictive characterization approach through the filtering method to identify populations potentially tolerant to drought, salinity, and waterlogging. In parallel, the calibration method was applied to select wild populations potentially resistant to lentil rust and broomrape, using, respectively, 351 and 204 accessions evaluated for these diseases. An ecogeographic land characterization map was used to incorporate potential genetic diversity of adaptive value. We identified 13, 1, 21, and 30 populations potentially tolerant to drought, soil salinity, waterlogging, or resistance to rust, respectively. The models targeting broomrape resistance did not adjust well and thus, we were not able to select any population regarding this trait. The systematic use of predictive characterization techniques may boost the efficiency of introgression breeding programs by increasing the chances of collecting the most appropriate populations for the desired traits. However, these populations must still be experimentally tested to confirm the predictions., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330851
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330851
HANDLE: http://hdl.handle.net/10261/330851
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330851
PMID: http://hdl.handle.net/10261/330851
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330851
Ver en: http://hdl.handle.net/10261/330851
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330851
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330852
Dataset. 2022
TABLE_3_SEARCHING FOR ABIOTIC TOLERANT AND BIOTIC STRESS RESISTANT WILD LENTILS FOR INTROGRESSION BREEDING THROUGH PREDICTIVE CHARACTERIZATION.XLSX
- Rubio Teso, María Luisa
- Lara-Romero, Carlos
- Rubiales, Diego
- Parra-Quijano, Mauricio
- Iriondo, José M.
Supplementary Material 3: Lentil accessions evaluated in their resistance to lentil rust and used to calibrate the models of the Predictive Characterization., Crop wild relatives are species related to cultivated plants, whose populations have evolved in natural conditions and confer them valuable adaptive genetic diversity, that can be used in introgression breeding programs. Targeting four wild lentil taxa in Europe, we applied the predictive characterization approach through the filtering method to identify populations potentially tolerant to drought, salinity, and waterlogging. In parallel, the calibration method was applied to select wild populations potentially resistant to lentil rust and broomrape, using, respectively, 351 and 204 accessions evaluated for these diseases. An ecogeographic land characterization map was used to incorporate potential genetic diversity of adaptive value. We identified 13, 1, 21, and 30 populations potentially tolerant to drought, soil salinity, waterlogging, or resistance to rust, respectively. The models targeting broomrape resistance did not adjust well and thus, we were not able to select any population regarding this trait. The systematic use of predictive characterization techniques may boost the efficiency of introgression breeding programs by increasing the chances of collecting the most appropriate populations for the desired traits. However, these populations must still be experimentally tested to confirm the predictions., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330852
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330852
HANDLE: http://hdl.handle.net/10261/330852
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330852
PMID: http://hdl.handle.net/10261/330852
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330852
Ver en: http://hdl.handle.net/10261/330852
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330852
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