Results 41 to 50 of about 13,983,545 (429)

Expression quantitative trait loci are highly sensitive to cellular differentiation state [PDF]

open access: yes, 2009
Blood cell development from multipotent hematopoietic stem cells to specialized blood cells is accompanied by drastic changes in gene expression for which the triggers remain mostly unknown.
A Gerrits   +48 more
core   +7 more sources

Genome‐wide allele‐ and strand‐specific expression profiling

open access: yesMolecular Systems Biology, 2009
Recent reports have shown that most of the genome is transcribed and that transcription frequently occurs concurrently on both DNA strands. In diploid genomes, the expression level of each allele conditions the degree to which sequence polymorphisms ...
Julien Gagneur   +5 more
doaj   +1 more source

Localization and Functional Roles of Components of the Translation Apparatus in the Eukaryotic Cell Nucleus

open access: yesCells, 2021
Components of the translation apparatus, including ribosomal proteins, have been found in cell nuclei in various organisms. Components of the translation apparatus are involved in various nuclear processes, particularly those associated with genome ...
Zaur M. Kachaev   +4 more
doaj   +1 more source

Induction in myeloid leukemic cells of genes that are expressed in different normal tissues [PDF]

open access: yesPNAS 101, 16022 (2004), 2005
Using DNA microarray and cluster analysis of expressed genes in a cloned line (M1-t-p53) of myeloid leukemic cells, we have analyzed the expression of genes that are preferentially expressed in different normal tissues. Clustering of 547 highly expressed genes in these leukemic cells showed 38 genes preferentially expressed in normal hematopoietic ...
arxiv   +1 more source

SGC: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks [PDF]

open access: yes, 2022
A widely used approach for extracting information from gene expression data employ the construction of a gene co-expression network and the subsequent application of algorithms that discover network structure. In particular, a common goal is the computational discovery of gene clusters, commonly called modules.
arxiv   +1 more source

Expression of Green Fluorescence Protein (GFP) in Zebrafish Muscle through Injection: A Gene Therapy Model [PDF]

open access: yes, 2008
Expression of the target gene is important for gene therapy. Presently, localized transgenesis is used for gene therapy which can be achieved by a target gene expression. Here, we have reported the plasmid mediated gene therapy to zebrafish model.
C. H. Hsu   +4 more
core   +2 more sources

Impact of the sickle mutant and temperature on the structure of transcripts and RNAs from Arabidopsis thaliana

open access: yesBMC Research Notes, 2022
Objectives The objective of this data set was to identify how interaction between temperature and the sickle-3 (sic-3) mutant alters the global messenger RNA (mRNA) content of Arabidopsis thaliana seedlings.
Carine M. Marshall, Frank G. Harmon
doaj   +1 more source

Gene Therapy for Acquired and Genetic Cholestasis

open access: yesBiomedicines, 2022
Cholestatic diseases can be caused by the dysfunction of transporters involved in hepatobiliary circulation. Although pharmacological treatments constitute the current standard of care for these diseases, none are curative, with liver transplantation ...
Javier Martínez-García   +4 more
doaj   +1 more source

GENER: A Parallel Layer Deep Learning Network To Detect Gene-Gene Interactions From Gene Expression Data [PDF]

open access: yesarXiv, 2023
Detecting and discovering new gene interactions based on known gene expressions and gene interaction data presents a significant challenge. Various statistical and deep learning methods have attempted to tackle this challenge by leveraging the topological structure of gene interactions and gene expression patterns to predict novel gene interactions. In
arxiv  

Stochastic neural network models for gene regulatory networks [PDF]

open access: yes, 2003
Recent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of genome dynamics by means of mathematical modelling.
Burrage, K., Tian, T.
core   +2 more sources

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