Search results for "Tissue specificity"

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Starvation resistance and tissue-specific gene expression of stress-related genes in a naturally inbred ant population

2016

Starvation is one of the most common and severe stressors in nature. Not only does it lead to death if not alleviated, it also forces the starved individual to allocate resources only to the most essential processes. This creates energetic trade-offs which can lead to many secondary challenges for the individual. These energetic trade-offs could be exacerbated in inbred individuals, which have been suggested to have a less efficient metabolism. Here, we studied the effect of inbreeding on starvation resistance in a natural population of Formica exsecta ants, with a focus on survival and tissue-specific expression of stress, metabolism and immunity-related genes. Starvation led to large tis…

0301 basic medicineSELECTIONHYMENOPTERAmuurahaisetInbreeding depressionFormica exsectageeniekspressiolcsh:ScienceHAPLODIPLOIDSsietokyky2. Zero hungerStarvationGeneticseducation.field_of_studyMultidisciplinarybiology70Tissue-Specific Gene Expression129FORMICA-EXSECTANatural population growth1181 Ecology evolutionary biologymedicine.symptomInbreedingResearch Article1001INBREEDING DEPRESSIONnälkäsocial insectPopulation60inbreedingtissue specificity03 medical and health sciencesmedicineeducationGeneSEX DETERMINATIONstarvationINSECTbiology.organism_classification030104 developmental biologyDROSOPHILA-MELANOGASTERPATTERNSsukusiitosgene expressionta1181Formica exsectalcsh:QBiology (Whole organism)SYSTEMRoyal Society Open Science
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Detection of condition-specific marker genes from RNA-seq data with MGFR

2019

The identification of condition-specific genes is key to advancing our understanding of cell fate decisions and disease development. Differential gene expression analysis (DGEA) has been the standard tool for this task. However, the amount of samples that modern transcriptomic technologies allow us to study, makes DGEA a daunting task. On the other hand, experiments with low numbers of replicates lack the statistical power to detect differentially expressed genes. We have previously developed MGFM, a tool for marker gene detection from microarrays, that is particularly useful in the latter case. Here, we have adapted the algorithm behind MGFM to detect markers in RNA-seq data. MGFR groups s…

Bioinformaticslcsh:MedicineRNA-SeqComputational biologyMarker genesCell fate determinationBiologyMarker geneGeneral Biochemistry Genetics and Molecular BiologyTranscriptomeBioconductor03 medical and health sciences0302 clinical medicineGene expressionSingle cellRNA-SeqTranscriptomicsGene030304 developmental biology0303 health sciencesGeneral Neurosciencelcsh:RCell-type specificityGenomicsGeneral MedicineTissue specificity030220 oncology & carcinogenesisGene expressionR-packageDNA microarrayGeneral Agricultural and Biological SciencesPeerJ
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