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Transcriptome analysis reveals the relationship between Spring viremia of carp N protein induced Endoplasmic reticulum stress in EPC cells and apoptosis and ...
Dinesh Velayutham +4 more
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Dinesh Velayutham +4 more
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Pathway identification through transcriptome analysis
Cellular Signalling, 2020Systems-based, agnostic approaches focusing on transcriptomics data have been employed to understand the pathogenesis of polycystic kidney diseases (PKD). While multiple signaling pathways, including Wnt, mTOR and G-protein-coupled receptors, have been implicated in late stages of disease, there were few insights into the transcriptional cascade ...
Takeshi, Terabayashi +2 more
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Large-Scale Transcriptome Analysis
2017Genomic variants identified to be linked with complex traits such as blood pressure are fewer in coding sequences compared to noncoding sequences. This being the case, there is an increasing need to query the expression of genes at a genome scale to then correlate the cause of alteration in expression to the function of variants regardless of where ...
David, Weaver +2 more
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2013
Transcriptome coexpression analysis is an excellent tool for predicting the physiological functions of genes. It is based on the "guilt-by-association" principle. Generally, genes involved in certain metabolic processes are coordinately regulated. In other words, coexpressed genes tend to be involved in common or closely related biological processes ...
Keiko, Yonekura-Sakakibara +1 more
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Transcriptome coexpression analysis is an excellent tool for predicting the physiological functions of genes. It is based on the "guilt-by-association" principle. Generally, genes involved in certain metabolic processes are coordinately regulated. In other words, coexpressed genes tend to be involved in common or closely related biological processes ...
Keiko, Yonekura-Sakakibara +1 more
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Endothelial Transcriptomic Analysis
2015Endothelial cell activity can be studied targeting the mature cells within the tissues and blood vessels or it could be done using the precursor cells (EPC). For in vitro studies, pure EPC can be harvested from umbilical cord, peripheral blood and bone marrow.
Sharma, Dileep +3 more
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Group A Streptococcus Transcriptome Analysis
2020Global gene expression analyses in bacteria have undergone a dramatic transformation. Prior to the development of high-throughput sequencing technologies, real-time PCR or microarray studies were the mainstay of assessing differences in gene expression in bacteria. Real-time PCR remains a critical tool for targeted gene expression analyses.
Misú, Sanson, Anthony R, Flores
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Transcriptome Analysis Predicts Treatment Response
Cancer Discovery, 2021Abstract Researchers used transcriptome analysis to predict patients' responses to treatments with 80% accuracy on average. The procedure relies on identifying pairs of interacting genes that are lethal to cells when both are inactivated or that enable tumors to evade treatments.
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Novel algorithm for transcriptome analysis
Physiological Genomics, 2006A growing body of evidence implicates the oocyte as a key regulator of ovarian folliculogenesis and early embryonic development. We have screened bovine cDNA microarrays (containing expressed sequence tags representing >15,000 unique genes) with Cy3- and Cy5-labeled cDNA derived from bovine oocyte samples collected at two different stages of ...
Peter M, Saama +4 more
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Microscale transcriptome analysis
2018In the previous chapter, we have analysed some important applications of RNA-seq in the neurosciences. A common feature of the described papers is that the spatial resolution of the analysed transcriptome corresponds to a brain subregion (e.g., cerebellum, cortex, hippocampus, and so on).
Alessandro Cellerino, Michele Sanguanini
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Transcriptome analysis of equine sarcoids
Veterinary and Comparative Oncology, 2016AbstractEquine sarcoids are the most commonly detected skin tumours in Equidae. In the present research, a comparative transcriptomic analysis was performed which aimed at looking inside a tumour biology and identification of the expression profile as a potential source of cancer specific genes useful as biomarkers.
E, Semik +6 more
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