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Deep sequencing of transcriptomes allows quantitative and qualitative analysis of many RNA species in a sample, with parallel comparison of expression levels, splicing variants, natural antisense transcripts, RNA editing and transcriptional start and stop sites the ideal goal. By computational model...
ORGANISM(S): Caenorhabditis elegans 
Transposable elements (TEs) are often the primary determinant of genome size differences among eukaryotes. In plants, the proliferation of TEs is countered through epigenetic silencing mechanisms that prevent transposition. Recent studies using the model plant Arabidopsis thaliana have revealed that...
ORGANISM(S): Arabidopsis lyrata 

Fecal microbiota transplantation (FMT) represents a potential strategy to overcome resistance to immune checkpoint inhibitors in patients with refractory melanoma; however, the role of FMT in first-line treatment settings has not been evaluated. We conducted a multicenter phase I trial combining ...

2025-02-27 | MTBLS711 | MetaboLights
A major effort is underway to study the natural variation within the model plant species, Arabidopsis thaliana. Much of this effort is focused on genome resequencing, however the translation of genotype to phenotype will be largely effected through variations within the transcriptomes at the sequen...
ORGANISM(S): Arabidopsis thaliana 
Deep sequencing of small RNA from three closely related brassicaceae A. thaliana, A. lyrata and Capsella rubella was done to systematically analyze the evolution of MIRNA genes and their targets. Small RNA were extracted from total RNA by size fractionation and converted to DNA amplicons by serial a...
ORGANISM(S): Arabidopsis lyrata 
Here we present the first whole-genome assemblies of Arabidopsis thaliana strains since the release of the 125 Mb reference genome sequence a decade ago. We demonstrate their practical relevance in studying the expression differences of polymorphic genes and show how the analysis of sRNA sequencing ...
ORGANISM(S): Arabidopsis thaliana 
Data used for the implementation of a Bayesian Proteoform Quantification model (BP-Quant) that uses statistically derived peptide signatures to identify peptides that are outside the dominant pattern, or the existence of multiple over-expressed patterns to improve relative protein abundance estimate...
ORGANISM(S): Mus Musculus (ncbitaxon:10090) 
2021-06-24 | MSV000087701 | MassIVE
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