Results 11 to 20 of about 925,682 (298)

Hunting for differentially expressed genes [PDF]

open access: yesBrazilian Journal of Medical and Biological Research, 1999
Differentially expressed genes are usually identified by comparing steady-state mRNA concentrations. Several methods have been used for this purpose, including differential hybridization, cDNA subtraction, differential display and, more recently, DNA ...
C.G. Vedoy, M.H. Bengtson, M.C. Sogayar
doaj   +5 more sources

Detecting multivariate differentially expressed genes [PDF]

open access: yesBMC Bioinformatics, 2007
Background Gene expression is governed by complex networks, and differences in expression patterns between distinct biological conditions may therefore be complex and multivariate in nature.
Tegnér Jesper   +3 more
doaj   +3 more sources

Differential gene expression in leiomyosarcoma [PDF]

open access: yesCancer, 2003
AbstractBACKGROUNDLeiomyosarcomas (LMS) are a common subtype of soft tissue sarcoma. The molecular causes of the disease remain unclear.METHODSIn the current study, gene expression in LMS, leiomyomas, and normal myometrium was examined. RNA was prepared and gene expression was determined using microarray analysis arrays containing approximately 12,000 ...
Keith M, Skubitz, Amy P N, Skubitz
openaire   +2 more sources

GENE EXPRESSION IN DIFFERENTIATED CELLS [PDF]

open access: yesProceedings of the National Academy of Sciences, 1963
This communication is concerned with the dynamics of gene control over specific biochemical functions in a differentiated cell. Direct experimental access to the intracellular link between gene action and the target cell characters has become feasible with the accumulation of evidence demonstrating that the synthesis of specific RNA's on the genomic ...
Davidson, E. H.   +2 more
openaire   +3 more sources

Differential gene expression in mesothelioma [PDF]

open access: yesFEBS Letters, 2000
To investigate the molecular events controlling malignant transformation of human pleural cells, we compared constitutive gene expression of mesothelioma cells to that of pleural cells. Using cDNA microarray and high‐density filter array, we assessed expression levels of >6500 genes.
Rihn, B.H.   +7 more
openaire   +2 more sources

Differential Gene Expression in Liver, Gill, and Olfactory Rosettes of Coho Salmon (Oncorhynchus kisutch) After Acclimation to Salinity. [PDF]

open access: yes, 2015
Most Pacific salmonids undergo smoltification and transition from freshwater to saltwater, making various adjustments in metabolism, catabolism, osmotic, and ion regulation. The molecular mechanisms underlying this transition are largely unknown.
Bammler, Theo K   +8 more
core   +1 more source

Revealing novel biomarkers involved in development and progression of gastric cancer by comprehensive bioinformatics analysis

open access: yesInformatics in Medicine Unlocked, 2021
Gastric cancer (GC) is the third cause of cancer mortality in the world but the molecular mechanisms underlying the pathogenesis of GC remain little known.
Homa Akhavan   +3 more
doaj   +1 more source

Identification of Key Genes Between Lung Adenocarcinoma and Lung Squamous Cell Carcinoma by Bioinformatics Analysis [PDF]

open access: yesAdvanced Ultrasound in Diagnosis and Therapy, 2020
Objective: To explore differentially expressed genes (DEGs) between lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC).Methods: Based on GEO database, we used R software to identify the DEGs and conducted the bioinformatics analysis to ...
Jinru Xue, MS, Yu Yang, MS, Bo Jiang, MD, Linxue Qian, MD, Xian-Quan Shi, PhD
doaj   +1 more source

Smoking affects gene expression in blood of patients with ischemic stroke. [PDF]

open access: yes, 2019
ObjectiveThough cigarette smoking (CS) is a well-known risk factor for ischemic stroke (IS), there is no data on how CS affects the blood transcriptome in IS patients.MethodsWe recruited IS-current smokers (IS-SM), IS-never smokers (IS-NSM), control ...
Ander, Bradley P   +6 more
core   +2 more sources

Differentially correlated genes in co-expression networks control phenotype transitions. [PDF]

open access: yes, 2016
BackgroundCo-expression networks are a tool widely used for analysis of "Big Data" in biology that can range from transcriptomes to proteomes, metabolomes and more recently even microbiomes.
Morgun, Andrey   +4 more
core   +2 more sources

Home - About - Disclaimer - Privacy