Results 61 to 70 of about 115,029 (313)

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

A network approach for managing and processing big cancer data in clouds [PDF]

, 2015
Translational cancer research requires integrative analysis of multiple levels of big cancer data to identify and treat cancer. In order to address the issues that data is decentralised, growing and continually being updated, and the content living or ...
Xing, Wei, Ghanem, Moustafa, Moustafa Ghanem, Dimitrios Tsoumakos, Jie, Wei, Wei Xing, Tsoumakos, Dimitrios, Wei Jie   +7 more
core   +1 more source

Cloud-based Big Data Platform for Vehicle-to-Grid (V2G)

World Electric Vehicle Journal, 2020
Battery Electric Vehicles (BEVs) have increasingly become prevalent over the past years. BEVs can be regarded as a grid load and as a way to support the grid (energy buffering), provided this extensive battery usage does not affect the BEV’s ...
Florent Grée, Vitaliia Laznikova, Bill Kim, Guillermo Garcia, Tom Kigezi, Bo Gao   +5 more
doaj   +1 more source

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

Molecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos, Gilar Gorji‐bahri, Lejla Gradjan, Julia Zajac, Kacper Gil, Yvonne Thokozile Nduku, Anna M. Blom   +6 more
wiley   +1 more source

Groundwater Game, a water game app around sustainable water resource use for farming in India [PDF]

, 2022
The game was developed and deployed on the Kalgudi platform with some 600,000 farmers and will be used at larger scale in a real watershed somewhere. Key user testing was done with 100 concurrent users at the Big Data Convention, getting this game ready ...
CGIAR Platform for Big Data in Agriculture
core  

Modelling big data platforms as knowledge graphs: the data platform shaper

Journal of Big Data
Abstract The rise of big data has introduced significant challenges in managing, storing, analyzing, and modeling data. These challenges require the integration of diverse storage and computing platforms. Consequently, incorporating new data sources and developing new data transformation methods is typically a slow and expensive process ...
Greco D., Osborne F., Pusceddu S., Reforgiato Recupero D.   +3 more
openaire   +4 more sources

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

Information and Data Management Community of Practice - Work Plan 2021

, 2021
Activities planned in 2021 by the IDM CoP of the CGIAR Platform for Big Data in ...
CGIAR Platform for Big Data in Agriculture
core  

EDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas

Molecular Oncology, EarlyView.
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau, Leonor Garcia, Hugo Arnold, Antonija Hanžek, Maialen Arrieta, Laurent R Gauthier, Christine Granotier‐Beckers, François D Boussin, Amaury Herbet, Marie Hautière, Valentin Asei‐Ceschino, Clémentin Jacques, Laura Brard, Thomas Harnois, Valérie Coronas, Bruno Constantin, Aurélien Chatelier, Jean Chemin, Serge Urbach, Martial Seveno, Szimonetta Hideg, Chantal Ripoll, Kasandra Aguilar‐Cázarez, Min Zheng, Guo‐Hao Huang, Sheng‐Qing Lv, Lei Zhang, Philippe Rondard, Laurent Prezeau, Jean‐Philippe Pin, Hugues Duffau, Luc Bauchet, Valérie Rigau, Franck Denat, Charles Truillet, Didier Boquet, Jean‐Philippe Hugnot   +36 more
wiley   +1 more source

Best practices for FAIR, ethical, and open data assets [PDF]

, 2022
The course modules have been drafted, revised, and input provided by a team of volunteer data and information specialists across CGIAR. The course will be interactive, to be uploaded for delivery via the TechChange platform. Course participants will need
CGIAR Platform for Big Data in Agriculture
core