Resultados totales (Incluyendo duplicados): 1857
Encontrada(s) 186 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357810
Dataset. 2023

NCI60 CHIP-SEQ AND RNA-SEQ FILES [DATASET]

  • Pérez, Marcos Francisco
  • Sarkies, Peter
The N-terminal tails of eukaryotic histones are frequently posttranslationally modified. The role of these modifications in transcriptional regulation is well-documented. However, the extent to which the enzymatic processes of histone posttranslational modification might affect metabolic regulation is less clear. Here, we investigated how histone methylation might affect metabolism using metabolomics, proteomics, and RNA-seq data from cancer cell lines, primary tumour samples and healthy tissue samples. In cancer, the expression of histone methyltransferases (HMTs) was inversely correlated to the activity of NNMT, an enzyme previously characterised as a methyl sink that disposes of excess methyl groups carried by the universal methyl donor S-adenosyl methionine (SAM or AdoMet). In healthy tissues, histone methylation was inversely correlated to the levels of an alternative methyl sink, PEMT. These associations affected the levels of multiple histone marks on chromatin genome-wide but had no detectable impact on transcriptional regulation. We show that HMTs with a variety of different associations to transcription are co-regulated by the Retinoblastoma (Rb) tumour suppressor in human cells. Rb-mutant cancers show increased total HMT activity and down-regulation of NNMT. Together, our results suggest that the total activity of HMTs affects SAM metabolism, independent of transcriptional regulation., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/357810
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357810
HANDLE: http://hdl.handle.net/10261/357810
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357810
PMID: http://hdl.handle.net/10261/357810
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357810
Ver en: http://hdl.handle.net/10261/357810
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357810

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357931
Dataset. 2024

LIVE FUEL MOISTURE CONTENT ESTIMATES IN THE WESTERN USA USING RADIOMETER-RADAR-LIDAR SYNERGY

  • Chaparro, David
  • Jagdhuber, Thomas
  • Piles, María
  • Jonard, François
  • Fluhrer, Anke
  • Vall-llossera, Mercè
  • Camps, Adriano
  • López-Martínez, Carlos
  • Fernández-Morán, Roberto
  • Baur, Martín J.
  • Feldman, Andrew F.
  • Fink, Anita
  • Entekhabi, Dara
This dataset contains estimates of Live Fuel Moisture Content (LFMC) in the Western United States. LFMC is the percentage of vegetation water mass over the dry biomass of the plants. Here, LFMC is retrieved by isolating the water component of the passive microwaves vegetation optical depth (VOD) signal at three frequencies: L-band (1.4 GHz), X-band (10.65 GHz) and Ku-band (18.7 GHz). Each frequency represents a different canopy sensing depth. To isolate LFMC from VOD, auxiliary information to account for the biomass and structure of the vegetation has been used: radar backscatter data from Sentinel-1 and canopy height data from GEDI/Sentinel-2. The dataset spans between April 2015 and December 2018 for L- and X-bands, and between April 2015 and July 2018 for Ku-band retrievals., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/357931
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357931
HANDLE: http://hdl.handle.net/10261/357931
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357931
PMID: http://hdl.handle.net/10261/357931
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357931
Ver en: http://hdl.handle.net/10261/357931
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357931

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357933
Dataset. 2022

RECONSTRUCTED ANETO GLACIER SURFACES FROM HISTORIC AERIAL IMAGE PHOTOGRAMMETRY (1981) AND REMOTE SENSING TECHNIQUES (2020, 2021, 2022) [DATASET]

  • Vidaller, Ixeia
  • Izagirre, Eñaut
  • Rio, Luis Mariano del
  • Alonso-González, Esteban
  • Rojas-Heredia, Francisco
  • Serrano, Enrique
  • Moreno Caballud, Ana
  • López-Moreno, Juan I.
  • Revuelto, Jesús
The Aneto Glacier, is the largest glacier in the Pyrenees. Its shrinkage and wastage have been continuous in recent decades, and there are signs of accelerated melting in recent years. In this study, changes in the surface and ice thickness of the Aneto Glacier from 1981 to 2022 are investigated using historical aerial imagery, airborne LiDAR point clouds, and UAV imagery. A GPR survey conducted in 2020, combined with data from photogrammetric analyses, allowed us to reconstruct the current ice thickness and also the existing ice distribution in 1981 and 2011. Over the last 41 years, the total glaciated area has shrunk by 64.7% and the ice thickness has decreased, on average, by 30.5 m. The mean remaining ice thickness in autumn 2022 was 11.9 m, as against the mean thicknesses of 32.9 m, 19.2 m reconstructed for 1981 and 2011 and 15.0 m observed in 2020 respectively. The results demonstrate the critical situation of the glacier, with an imminent segmentation into two smaller ice bodies and no evidence of an accumulation zone. We also found that the occurrence of an extremely hot and dry year, as observed in the 2021–2022 season, leads to a drastic degradation of the glacier, posing a high risk to the persistence of the Aneto Glacier, a situation that could extend to the rest of the Pyrenean glaciers in a relatively short time., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/357933
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357933
HANDLE: http://hdl.handle.net/10261/357933
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357933
PMID: http://hdl.handle.net/10261/357933
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357933
Ver en: http://hdl.handle.net/10261/357933
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357933

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357934
Dataset. 2022

CETUS: CETACEAN MONITORING SURVEYS IN THE EASTERN NORTH ATLANTIC

  • Correia, Ana M.
  • Oliveira-Rodrigues, Cláudia
  • Gandra, Miguel
  • Liberal, Marcos
  • Valente, Raúl
  • Gil, Ágatha
  • Rosso, Massimiliano
  • Pierce, Graham J.
  • Sousa-Pinto, Isabel
5 files.-- The CETUS dataset contains effort-based occurrence records collected during a cetacean monitoring programme in the Eastern North Atlantic, since 2012, The CETUS dataset contains data collected within the CETUS Project (www.cetusproject.com), a cetacean monitoring programme in the Eastern North Atlantic, running since 2012. The project is led by the Interdisciplinary Centre of Marine and Environmental Research (CIIMAR - University of Porto, Portugal), in partnership with TRANSINSULAR - Grupo ETE, a Portuguese company for maritime transport, that offers its cargo ships to be used as a platforms of opportunity to monitor cetaceans along routes between Continental Portugal and Madeira, Azores, Canary and Cape Verde islands. On-board trained marine mammal observers collect data on: survey effort, cetacean and other megafauna occurrences, as well as marine traffic and meteorological conditions. Data is provided in the recent OBIS-ENV-DATA format, and comprises 8913 georeferenced positions associated with 3195 occurrences of 44 marine taxa, This research was partially funded by the EU FEDER/FEMP and Portuguese Foundation for Science and Technology (FCT) under the Portugal2020 (Lisboa2020, Algarve2020 and MAR2020) Programme through project OBSERVA.PT (MAR-01.04.02-FEAMP-0002), Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/357934
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357934
HANDLE: http://hdl.handle.net/10261/357934
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357934
PMID: http://hdl.handle.net/10261/357934
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357934
Ver en: http://hdl.handle.net/10261/357934
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357934

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357988
Dataset. 2023

THE TRANSCRIPTIONAL REGULATOR GLYR1 MAY MEDIATE NNMT DOWN-REGULATION [DATASET]

  • Pérez, Marcos Francisco
  • Sarkies, Peter
The transcriptional regulator GLYR1 may mediate NNMT down-regulation., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/357988
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357988
HANDLE: http://hdl.handle.net/10261/357988
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357988
PMID: http://hdl.handle.net/10261/357988
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357988
Ver en: http://hdl.handle.net/10261/357988
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357988

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357999
Dataset. 2023

ALTERATION OF SAM/SAH RATIO TRANSCRIPTIONALLY REGULATES NNMT AND HMTS [DATASET]

  • Pérez, Marcos Francisco
  • Sarkies, Peter
Alteration of SAM/SAH ratio transcriptionally regulates Nnmt and HMTs., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/357999
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357999
HANDLE: http://hdl.handle.net/10261/357999
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357999
PMID: http://hdl.handle.net/10261/357999
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357999
Ver en: http://hdl.handle.net/10261/357999
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357999

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358013
Dataset. 2023

HISTONE METHYLTRANSFERASES ARE CO-EXPRESSED AND CORRELATE WITH NNMT/PEMT ORTHOLOGUES/ANALOGUES IN C. ELEGANS [DATASET]

  • Pérez, Marcos Francisco
  • Sarkies, Peter
Histone methyltransferases are co-expressed and correlate with NNMT/PEMT orthologues/analogues in C. elegans., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/358013
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358013
HANDLE: http://hdl.handle.net/10261/358013
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358013
PMID: http://hdl.handle.net/10261/358013
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358013
Ver en: http://hdl.handle.net/10261/358013
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358013

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358017
Dataset. 2023

HIGHLY EXPRESSED HISTONE METHYLTRANSFERASE GENES ARE CO-EXPRESSED [DATASET]

  • Pérez, Marcos Francisco
  • Sarkies, Peter
Highly expressed histone methyltransferase genes are co-expressed., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/358017
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358017
HANDLE: http://hdl.handle.net/10261/358017
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358017
PMID: http://hdl.handle.net/10261/358017
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358017
Ver en: http://hdl.handle.net/10261/358017
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358017

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358104
Dataset. 2023

NNMT EXPRESSION ANTICORRELATE GLOBALLY WITH LEVELS OF SPECIFIC HISTONE MARKS GENOME-WIDE IN CANCER CELL LINES (RELATED TO FIG 3) [DATASET]

  • Pérez, Marcos Francisco
  • Sarkies, Peter
NNMT expression anticorrelate globally with levels of specific histone marks genome-wide in cancer cell lines (related to Fig 3)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/358104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358104
HANDLE: http://hdl.handle.net/10261/358104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358104
PMID: http://hdl.handle.net/10261/358104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358104
Ver en: http://hdl.handle.net/10261/358104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358104

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358112
Dataset. 2023

PEMT EXPRESSION ANTICORRELATE GLOBALLY WITH LEVELS OF SPECIFIC HISTONE MARKS GENOME-WIDE IN HEALTHY TISSUES (RELATED TO FIG 3) [DATASET]

  • Pérez, Marcos Francisco
  • Sarkies, Peter
PEMT expression anticorrelate globally with levels of specific histone marks genome-wide in healthy tissues (related to Fig 3)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/358112
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358112
HANDLE: http://hdl.handle.net/10261/358112
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358112
PMID: http://hdl.handle.net/10261/358112
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358112
Ver en: http://hdl.handle.net/10261/358112
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358112

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