Results 11 to 20 of about 579,154 (265)
Differential gene expression in leiomyosarcoma [PDF]
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
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β-Glucosidase genes differentially expressed during composting
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
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Specific Differentially Methylated and Expressed Genes in People with Longevity Family History
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
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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
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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
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MODELING GENE EXPRESSION WITH DIFFERENTIAL EQUATIONS [PDF]
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
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Bioinformatics analysis: A roadmap to an aggressiveness model for Oral Squamous cell carcinoma key differentiated genes [PDF]
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
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Identification of Key Genes Between Lung Adenocarcinoma and Lung Squamous Cell Carcinoma by Bioinformatics Analysis [PDF]
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
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Hybridization and gene expression: Beyond differentially expressed genes [PDF]
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
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Bayesian Modeling of Differential Gene Expression [PDF]
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
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