Differential Gene Expression Articles & Analysis
16 articles found
This requires a comprehensive analysis of gene expression and the regulatory mechanisms at play during infection. ...
It was shown that in vitro 3D cultures recapture physiological cell-cell and cell-environment interactions (i.e., cellular morphology, cell differentiation, proliferation and gene expressions) with a greater relevant to animal and human studies, thus effectively facilitating the research progresses. 3D co-culture cell models now serve as ...
This cutting-edge approach enables researchers to accurately identify various structural variations within transcripts, including alternative splicing, gene fusion, selective polyadenylation of alternative polyadenylation sites (APAs), allele-specific expression, and other alterations in transcript structure. ...
What Are DEGs in Genetics? DEGs, or Differentially Expressed Genes, are genes whose expression levels show significant differences between two or more conditions or experimental groups. ...
By comparing healthy and diseased tissues, researchers can pinpoint differentially expressed genes and potential therapeutic targets specific to certain cell types or disease states. ...
What are Differentially Expressed Genes (DEGs) in Genetics? Differentially Expressed Genes (DEGs) are genes that exhibit significant differences in expression levels between two or more conditions or experimental groups. ...
By comparing healthy and diseased tissues, researchers can pinpoint differentially expressed genes specific to certain cell types or disease states. ...
Since RNA-seq is quantitative, it is useful to determine RNA expression levels. In addition to this basic function, RNA-seq can be used for differential gene expression, variant detection and allele-specific expression, small RNA profiling, characterization of alternative splicing patterns, system biology, and ...
Normalization Systematic variations need to be addressed prior to differential expression analysis. This process is called normalization, which deals with undesired differences between libraries in sequencing depth, GC content, and batch effects. ...
My previous post, Pathway Analysis vs Gene Set Analysis, ended with an interesting question: has anybody really compared side-by-side gene set analysis methods and pathway analysis methods on the same data sets? ...
Abstract Background Cancer genomic signatures may vary using different platforms. We compared the differential gene expression in non-small cell lung cancer (NSCLC) between two platforms in order to find the most relevant genomic signatures of tumor recurrence. Materials and Methods We analyzed gene ...
Epigenetic classes were defined by identifying patterns in the differential methylation of sub-genomic components and differential gene expression of transcription factors (TFs) and performing unsupervised hierarchical clustering. ...
If they only had two groups then it’s just one analysis, if they had four to six different groups then you can do a lot of differential expression and meta-analyses with that” While working at the core, she handled from the count to the differential expression analysis with DESeq. She then entered the ...
RNA-Seq in Cancer Research RNA sequencing (RNA-seq) is an important technology in immunogenomics because it allows researchers to examine a tumor's transcriptome and its surroundings. The gene expression patterns linked with the existence of diverse immunocyte populations can subsequently be inferred using analytical approaches to deconstruct genomics data. ...
Microarray analyses confirmed that exposure to either nanoparticle altered the transcriptomes of rosette leaves and roots, with comparatively larger numbers of differentially expressed genes (DEGs) found under nano‐titania exposure. Nano‐titania induced more DEGs in rosette leaves, whereas roots had more DEGs under nano‐ceria exposure. ...
The methotrexate-resistant cell strain M5, derived from Chinese hamster lung fibroblast cell line V79, provides a good model to study differential gene expression in response to stress. Genes coding for human homologues of myosin phosphatase (AF458589), filamin-like protein (AAA92644), phosphate transporter 1 (AAH199441) and ...