Results 11 to 20 of about 3,806,554 (268)
Reference quantitative transcriptome dataset for adult Caenorhabditis elegans
Data in Brief, 2019 Caenorhabditis elegans is a nematode widely used in biology and genomics as a model organism. We provide an integrated, quantitative reference map for the transcriptome of whole, wild type Bristol N2 strain C. elegans worms.
Allison Piovesan +5 more
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Doxycycline Changes the Transcriptome Profile of mIMCD3 Renal Epithelial Cells
Frontiers in Physiology, 2021 Tetracycline-inducible gene expression systems have been used successfully to study gene function in vivo and in vitro renal epithelial models but the effects of the common inducing agent, doxycycline (DOX), on gene expression are not well appreciated ...
Hyun Jun Jung +4 more
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BMC Genomics, 2011 Background Several tools have been developed to perform global gene expression profile data analysis, to search for specific chromosomal regions whose features meet defined criteria as well as to study neighbouring gene expression. However, most of these
Danieli Gian +14 more
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Tissue-specific transcriptome responses to Fusarium head blight and Fusarium root rot
Frontiers in Plant Science, 2022 Fusarium head blight (FHB) and Fusarium root rot (FRR) are important diseases of small-grain cereals caused by Fusarium species. While host response to FHB has been subject to extensive study, very little is known about response to FRR and the ...
John Francis Haidoulis, Paul Nicholson
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REGENOMICS: A web-based application for plant REGENeration-associated transcriptOMICS analyses
Computational and Structural Biotechnology Journal, 2022 In plants, differentiated somatic cells exhibit an exceptional ability to regenerate new tissues, organs, or whole plants. Recent studies have unveiled core genetic components and pathways underlying cellular reprogramming and de novo tissue regeneration
Soon Hyung Bae +2 more
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CrustyBase: an interactive online database for crustacean transcriptomes
BMC Genomics, 2020 Transcriptome sequencing has opened the field of genomics to a wide variety of researchers, owing to its efficiency, applicability across species and ability to quantify gene expression. The resulting datasets are a rich source of information that can be
Cameron J. Hyde +4 more
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Gene Expression Transcriptomics Primer 2017
, 2021 This is to give anyone a high-level rough guide to Gene Expression. It was originally written in 2017 and therefore is out of date, but the high-level ideas are hopefully still valid.
Mosbergen, Rowland +3 more
openaire +1 more source
The first decade and beyond of transcriptional profiling in schizophrenia
Neurobiology of Disease, 2012 Gene expression changes in brains of individuals with schizophrenia (SZ) have been hypothesized to reflect possible pathways related to pathophysiology and/or medication.
P. Adolfo Sequeira +2 more
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DEclust: A statistical approach for obtaining differential expression profiles of multiple conditions. [PDF]
PLoS ONE, 2017 High-throughput RNA sequencing technology is widely used to comprehensively detect and quantify cellular gene expression. Thus, numerous analytical methods have been proposed for identifying differentially expressed genes (DEGs) between paired samples ...
Yoshimasa Aoto +6 more
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International Journal of Endocrinology, 2019 Prediction of malignant behavior of pheochromocytoma (PC) or paraganglioma (PG) is of limited value. The Cancer Genome Atlas (TCGA) and the French ‘Cortico et Médullosurrénale: les Tumeurs Endocrines’ (COMETE) network in Paris (France) facilitate ...
Yong Joon Suh +3 more
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