Results 71 to 80 of about 2,805,831 (274)

driveR: a novel method for prioritizing cancer driver genes using somatic genomics data

BMC Bioinformatics, 2021
Background Cancer develops due to “driver” alterations. Numerous approaches exist for predicting cancer drivers from cohort-scale genomics data. However, methods for personalized analysis of driver genes are underdeveloped.
Ege Ülgen, O. Uğur Sezerman
doaj   +1 more source

Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature

Journal of Integrative Bioinformatics, 2018
Comorbid states of diseases significantly complicate diagnosis and treatment. Molecular mechanisms of comorbid states of asthma and hypertension are still poorly understood.
Saik Olga V., Demenkov Pavel S., Ivanisenko Timofey V., Bragina Elena Yu., Freidin Maxim B., Dosenko Victor E., Zolotareva Olga I., Choynzonov Evgeniy L., Hofestaedt Ralf, Ivanisenko Vladimir A.   +9 more
doaj   +1 more source

Prioritization of Retinal Disease Genes: An Integrative Approach [PDF]

Human Mutation, 2013
The discovery of novel disease-associated variations in genes is often a daunting task in highly heterogeneous disease classes. We seek a generalizable algorithm that integrates multiple publicly available genomic data sources in a machine-learning model for the prioritization of candidates identified in patients with retinal disease.
Alex H, Wagner, Kyle R, Taylor, Adam P, DeLuca, Thomas L, Casavant, Robert F, Mullins, Edwin M, Stone, Todd E, Scheetz, Terry A, Braun   +7 more
openaire   +2 more sources

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

Molecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche, Niels J. van Ruitenbeek, Charlotte Adang, Luke O'Gorman, Pui Yuen Lee, Willemijn M. Klein, Adriana C. H. van Engen‐van Grunsven, Jack A. Schalken, Sander Bervoets, Gerald W. Verhaegh, Carla M. L. van Herpen   +10 more
wiley   +1 more source

A Novel Prioritization Method in Identifying Recurrent Venous Thromboembolism-Related Genes. [PDF]

PLoS ONE, 2016
Identifying the genes involved in venous thromboembolism (VTE) recurrence is important not only for understanding the pathogenesis but also for discovering the therapeutic targets.
Jing Jiang, Wan Li, Binhua Liang, Ruiqiang Xie, Binbin Chen, Hao Huang, Yiran Li, Yuehan He, Junjie Lv, Weiming He, Lina Chen   +10 more
doaj   +1 more source

Extracellular vesicle lipidomics liquid biopsy reveals systemic and tumor microenvironment metabolic reprogramming in ovarian cancer

Molecular Oncology, EarlyView.
Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani, Dominic Guanzon, Andrew Lai, Katherin Scholz‐Romero, Sarah Reed, Edita Ritmejeryte, Rohan Lourie, Naven Chetty, Kaltin Ferguson, Carlos Salomon   +9 more
wiley   +1 more source

TOWARDS INTEGRATIVE GENE PRIORITIZATION IN ALZHEIMER'S DISEASE [PDF]

, 2010
Many methods have been proposed for facilitating the uncovering of genes that underlie the pathology of different diseases. Some are purely statistical, resulting in a (mostly) undifferentiated set of genes that are differentially expressed (or co-expressed), while others seek to prioritize the resulting set of genes through comparison against specific
Jang H, Lee, Graciela H, Gonzalez
openaire   +2 more sources

A role for eIF5A in translational control of stress‐inducible proteins in multiple myeloma cell lines

Molecular Oncology, EarlyView.
Loss of eIF5A rewires thapsigargin‐mediated endoplasmic reticulum stress responses in multiple myeloma cells by selective translation of mRNA transcripts, consequently dampening thapsigargin‐induced unfolded protein response (UPR) activation and shifting the balance from induction of apoptosis toward cell survival and proliferation.
Demi Both, Ingrid A. M. Derks, Raphaël Vanleyssem, Marine Leclercq, Najla El Hachem, Pierre Close, Eric Eldering, Marco Vincent Haselager   +7 more
wiley   +1 more source

Integration of genetic evidence to identify approved drug targets

Genome Medicine
Background Drugs targeting genes supported by human genetic evidence are more likely to succeed in clinical trials. While previous approaches have benchmarked individual methods such as genome-wide association studies (GWAS), rare variant burden testing,
Samuel Moix, Marie C. Sadler, Zoltán Kutalik   +2 more
doaj   +1 more source

Multiple Kernel Learning for Gene Prioritization, Clustering, and Functional Enrichment Analysis [PDF]

, 2014
Gene prioritization is the process of ranking a list of candidate genes such that the genes that are most likely involved in a biological process of interest receive the highest rankings.
Millis, David Howard
core   +1 more source