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Differential Gene Expression Articles & Analysis

16 articles found

Decoding the Conversation in Host-Pathogen Dynamics

Decoding the Conversation in Host-Pathogen Dynamics

In the quest to unravel the complexities of infectious diseases, understanding the intricate interplay between pathogens and their hosts is paramount. This requires a comprehensive analysis of gene expression and the regulatory mechanisms at play during infection. Traditional RNA sequencing (RNA-seq) has long been employed to investigate the gene expression profiles of microbial pathogens. ...

ByCD Genomics


3D Co-culture Models

3D Co-culture Models

Cell cultures have played a significant role in the academy and pharmaceutical industry, but conventional 2D cultures fail to provide physiological relevance and communication network as compared to in vivo conditions, since they are unable to mimic the complexity of cellular microenvironment, an essential part for the cell behavior and systematic investigation. Using 2D cell culture systems can ...

ByCreative Bioarray


Long-Read: Nanopore Full-Length Transcriptome Sequencing

Long-Read: Nanopore Full-Length Transcriptome Sequencing

Nanopore full-length transcriptome sequencing is an innovative technique that utilizes Oxford Nanopore Technologies' (ONT) sequencing platform to obtain comprehensive and uninterrupted high-quality full-length sequences of transcripts. This cutting-edge approach enables researchers to accurately identify various structural variations within transcripts, including alternative splicing, gene ...

ByCD Genomics


Differential Gene Expression (DGE) Analysis in RNA Sequencing

Differential Gene Expression (DGE) Analysis in RNA Sequencing

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. In genetics and genomics research, gene expression refers to the process by which information encoded in a gene's DNA sequence is converted into functional proteins or RNA molecules. When studying gene ...

ByCD Genomics


Single-Cell RNA Sequencing in Drug Discovery and Development

Single-Cell RNA Sequencing in Drug Discovery and Development

What Are the Advantages of Single-Cell RNA Sequencing? One of the significant advantages of scRNA-seq in drug discovery is its impact on target identification. By allowing researchers to dissect complex tissues and diseases at the cellular level, scRNA-seq enables the identification of distinct cell subtypes and their gene expression profiles. This information can lead to a better understanding ...

ByCD Genomics


Analysis of Differential Gene Expression (DGE) in RNA Sequencing

Analysis of Differential Gene Expression (DGE) in RNA Sequencing

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. In genetics and genomics research, gene expression refers to the process through which the information encoded in a gene's DNA sequence is transformed into functional proteins ...

ByCD Genomics


Applications of Single-Cell RNA Sequencing in Drug Discovery and Development

Applications of Single-Cell RNA Sequencing in Drug Discovery and Development

Advantages of Single-Cell RNA Sequencing in Drug Discovery Single-Cell RNA Sequencing (scRNA-seq) offers several advantages in drug discovery, primarily through target identification. By analyzing complex tissues and diseases at the cellular level, scRNA-seq allows researchers to identify distinct cell subtypes and their gene expression profiles. This knowledge enhances our understanding of ...

ByCD Genomics


Exploring the Potential of RNA-Seq in Various Fields

Exploring the Potential of RNA-Seq in Various Fields

What is RNA-Seq? Regulation of gene expression is fundamental to linking genotypes with phenotypes. RNAs shape complex gene expression networks, which drive biological processes. An in-depth understanding of the underlying mechanisms of how to govern these complex gene expression networks is vital for the treatment of complex diseases such as cancer. Hybridization-based microarrays are used to ...

ByCD Genomics


Bioinformatics Analysis of Small RNA Sequencing

Bioinformatics Analysis of Small RNA Sequencing

Small RNAs are important functional molecules in organisms, which have three main categories: microRNA (miRNA), small interfering RNA (siRNA), and piwi-interacting RNA (piRNA). They are less than 200 nt in length and are often not translated into proteins. Small RNA generally accomplishes RNA interference (RNAi) by forming the core of an RNA-protein complex (RNA-induced silencing complex, RISC). ...

ByCD Genomics


How do you validate a pathway analysis method? How do you compare such methods?

How do you validate a pathway analysis method? How do you compare such methods?

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? Well, the answer is: not yet! The main reason for this is that it is extremely difficult to objectively validate the results of a pathway analysis method. It is even more difficult to ...

ByAdvaita Bioinformatics


Comparison of genomic signatures of non-small cell lung cancer recurrence between two microarray platforms

Comparison of genomic signatures of non-small cell lung cancer recurrence between two microarray platforms

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 expression in frozen lung cancer tissue from 59 selected patients who had undergone surgical ...

ByAuspex Diagnostics


Methylation Markers of Pancreatic Cancer categorization and prognosis evaluation

Methylation Markers of Pancreatic Cancer categorization and prognosis evaluation

Background Pancreatic cancer is one of the highest mortality rate cancers worldwide with 5-year relative survival of 10.8%. Lack of screening methods for early-stage detection as well as proper patient sub-characterization, make it a fatal cancer due to poor diagnoses and insufficient treatment. Methylation flags are kept on tumorigenesis, akin to the tissue-specific traces that are acquired and ...

ByUniversal Diagnostics SL


The Medical University of South Carolina - Case study

The Medical University of South Carolina - Case study

Medical University of South Carolina (MUSC) is South Carolina’s only comprehensive academic health science center. Its purpose is to preserve and optimize human life in South Carolina through the vision to lead health innovation for the lives it touches. Ludivine Renaud has a Bachelor’s degree in marine biology from the College of Charleston, a Master’s degree in environmental ...

ByAdvaita Bioinformatics


CD Genomics Perspective: The Application of RNA-Seq and DNA-Seq in Cancer Research

CD Genomics Perspective: The Application of RNA-Seq and DNA-Seq in Cancer Research

Clinicians can make better diagnostic and treatment decisions using the data obtained by next-generation sequencing (NGS) technologies. Breast cancers, for example, have typically been diagnosed using mammography, physical exam, and histology. Genetics became more significant after the discoveries of oncogenes and other biomarkers. Today, commercially available microarray-based tests enable more ...

ByCD Genomics


Molecular and physiological responses to titanium dioxide and cerium oxide nanoparticles in arabidopsis

Molecular and physiological responses to titanium dioxide and cerium oxide nanoparticles in arabidopsis

Changes in tissue transcriptomes and productivity of Arabidopsis thaliana were investigated during exposure of plants to two widely used engineered metal oxide nanoparticles, titanium dioxide (nano‐titanium) and cerium dioxide (nano‐cerium). Microarray analyses confirmed that exposure to either nanoparticle altered the transcriptomes of rosette leaves and roots, with comparatively larger ...

ByJohn Wiley & Sons, Ltd.


Increased expression of genes in a radioresistant cell strain: modulation of hnRNP E2, Hsp90 and SSBP2 genes in γ-irradiated Chinese hamster V79 cells

Increased expression of genes in a radioresistant cell strain: modulation of hnRNP E2, Hsp90 and SSBP2 genes in γ-irradiated Chinese hamster V79 cells

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 hnRNP E2 (NP_035172.1) were upregulated in M5 as determined by RAP-PCR. ...

ByInderscience Publishers

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