Unknown,Transcriptomics,Genomics,Proteomics

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Gene expression profiling in control, heat-shock, and recovery treatment in an introgression line population of Caenorhabditis elegans L4 larvae


ABSTRACT: This experiment investigates the genetic architecture of gene expression (eQTL) in three different treatments in an N2xCB4856 introgression line population of Caenorhabditis elegans. The goal is to compare the effect of small CB4856 introgressions in an N2 genetic background versus a previously conducted experiment using recombinant inbred lines (RILs) derived from the same parental strains. We exposed ILs to a control (56 ILs), heat-stress (56 ILs), and recovery treatment (55 ILs). Additionally, also both parental strains, N2 and CB4856 were exposed to these three treatments (in at least 3 replicas per treatment). More specifically, these three conditions can be characterized as: (i) the control treatment was grown for 48 hours at 20C, (ii) the heat-stress treatment was grown for 46 hours at 20C followed by 2 hours at 35C, and (iii) the recovery treatment was grown for 46 hours at 20C, followed by 2 hours at 35C and thereafter 2 hours at 20C. Thereafter RNA was isolated, labelled and hybridized on microarray. The gene expression profiles were used for comparison versus findings in the RIL population (E-MTAB-5779).

INSTRUMENT(S): agilent high resolution C scanner

ORGANISM(S): Caenorhabditis elegans

SUBMITTER: Mark Sterken 

PROVIDER: E-MTAB-7424 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Dissecting the eQTL Micro-Architecture in <i>Caenorhabditis elegans</i>.

Sterken Mark G MG   Bevers Roel P J RPJ   Volkers Rita J M RJM   Riksen Joost A G JAG   Kammenga Jan E JE   Snoek Basten L BL  

Frontiers in genetics 20201103


The study of expression quantitative trait loci (eQTL) using natural variation in inbred populations has yielded detailed information about the transcriptional regulation of complex traits. Studies on eQTL using recombinant inbred lines (RILs) led to insights on <i>cis</i> and <i>trans</i> regulatory loci of transcript abundance. However, determining the underlying causal polymorphic genes or variants is difficult, but ultimately essential for the understanding of regulatory networks of complex  ...[more]

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