Results 11 to 20 of about 579,154 (265)

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

β-Glucosidase genes differentially expressed during composting

open access: yesBiotechnology for Biofuels, 2020
Background Cellulose degradation by cellulase is brought about by complex communities of interacting microorganisms, which significantly contribute to the cycling of carbon on a global scale.
Xinyue Zhang   +7 more
doaj   +1 more source

Specific Differentially Methylated and Expressed Genes in People with Longevity Family History

open access: yesIranian Journal of Public Health, 2020
Background: We attempt to identify specific differentially methylated and expressed genes in people with longevity family history, it will contribute to discover significant features about human longevity.
Chunhong LI   +4 more
doaj   +1 more source

Identification of Key Endometrial MicroRNAs and Their Target Genes Associated With Pathogenesis of Recurrent Implantation Failure by Integrated Bioinformatics Analysis

open access: yesFrontiers in Genetics, 2022
Purpose: Recurrent implantation failure (RIF) is an enormous challenge for in vitro fertilization (IVF) clinicians. An understanding of the molecular mechanisms of RIF helps to predict prognosis and develop new therapeutic strategies.
Jin Shang   +9 more
doaj   +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

MODELING GENE EXPRESSION WITH DIFFERENTIAL EQUATIONS [PDF]

open access: yesBiocomputing '99, 1998
We propose a differential equation model for gene expression and provide two methods to construct the model from a set of temporal data. We model both transcription and translation by kinetic equations with feedback loops from translation products to transcription. Degradation of proteins and mRNAs is also incorporated.
Ting Chen   +2 more
openaire   +3 more sources

Bioinformatics analysis: A roadmap to an aggressiveness model for Oral Squamous cell carcinoma key differentiated genes [PDF]

open access: yesAlexandria Dental Journal
IntroductionBioinformatics is a cross-disciplinary research field that combines computer science with biological science. The most fundamental yet frequently most impactful application of bioinformatics analysis is identifying variations in gene ...
Heba Mady   +4 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

Hybridization and gene expression: Beyond differentially expressed genes [PDF]

open access: yesMolecular Ecology
AbstractGene expression has a key role in reproductive isolation, and studies of hybrid gene expression have identified mechanisms causing hybrid sterility. Here, we review the evidence for altered gene expression following hybridization and outline the mechanisms shown to contribute to altered gene expression in hybrids. Transgressive gene expression,
Runemark, Anna   +2 more
openaire   +2 more sources

Bayesian Modeling of Differential Gene Expression [PDF]

open access: yesBiometrics, 2005
Summary We present a Bayesian hierarchical model for detecting differentially expressing genes that includes simultaneous estimation of array effects, and show how to use the output for choosing lists of genes for further investigation. We give empirical evidence that expression‐level dependent array effects are needed, and explore different nonlinear ...
Lewin, Alex   +4 more
openaire   +2 more sources

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