HAP1_PE_PoC_Screens
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB85691 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:<p>Genome-wide association studies (GWAS) identified thousands of genetic loci associated with complex plant traits, including many traits of agronomical importance. However, functional interpretation of GWAS results remains challenging because of large candidate regions due to linkage disequilibrium. High-throughput omics technologies, such as genomics, transcriptomics, proteomics, and metabolomics open new avenues for integrative systems biological analyses and help to nominate systems information supported (prime) candidate genes. In the present study, we capitalize on a diverse canola population with spring-type 477 lines which was previously analysed by high-throughput phenotyping (Knoch et al., 2020), and by RNA sequencing and metabolite profiling for multi-omics-based hybrid performance prediction (Knoch et al., 2021). We deepened the phenotypic data analysis, now providing 123 time-resolved image-based traits, to gain insight into the complex relations during early vegetative growth and re-analysed the transcriptome data based on the latest Darmor-bzh v10 genome assembly (Rousseau-Gueutin et al., 2020). Genome-wide association testing revealed 61,298 robust quantitative trait loci (QTL) including 187 metabolite-QTL, 56,814 expression-QTL, and 4,297 phenotypic QTL, many clustered in pronounced hotspots. Combining information about QTL colocalisation across omics layers and correlations between omics features allowed us to discover prime candidate genes for metabolic and vegetative growth variation. Prioritized candidate genes for early biomass accumulation include A06p05760.1_BnaDAR (PIAL1), A10p16280.1_BnaDAR, C07p48260.1_BnaDAR (PRL1), and C07p48510.1_BnaDAR (CLPR4). Moreover, we observed unequal effects of the Brassica A and C subgenomes on early biomass production.</p><p><br></p>
2023-11-20 | MTBLS8056 | MetaboLights
Project description:Prime editing is a powerful means of introducing precise changes to specific locations in mammalian genomes. However, the widely varying efficiency of prime editing across target sites of interest has limited its adoption in the context of both basic research and clinical settings. Here, we set out to exhaustively characterize the impact of the cis-chromatin environment on prime editing efficiency. Utilizing a newly developed and highly sensitive method for mapping the genomic locations of a randomly integrated “sensor”, we identify specific epigenetic features that strongly correlate with the highly variable efficiency of prime editing across different genomic locations. Next, to assess the interaction of trans-acting factors with the cis-chromatin environment, we develop and apply a pooled genetic screening approach with which the impact of knocking down various DNA repair factors on prime editing efficiency can be stratified by cis-chromatin context. Finally, we demonstrate that we can dramatically modulate the efficiency of prime editing through epigenome editing, i.e. enhancing (or restricting) local chromatin accessibility in order to increase (or decrease) the efficiency of prime editing at a target site. Looking forward, we envision that the insights and tools described here will broaden the range of both basic research and therapeutic contexts in which prime editing is useful.
2023-04-12 | GSE228462 | GEO
Project description:Prime editing is a powerful means of introducing precise changes to specific locations in mammalian genomes. However, the widely varying efficiency of prime editing across target sites of interest has limited its adoption in the context of both basic research and clinical settings. Here, we set out to exhaustively characterize the impact of the cis-chromatin environment on prime editing efficiency. Utilizing a newly developed and highly sensitive method for mapping the genomic locations of a randomly integrated “sensor”, we identify specific epigenetic features that strongly correlate with the highly variable efficiency of prime editing across different genomic locations. Next, to assess the interaction of trans-acting factors with the cis-chromatin environment, we develop and apply a pooled genetic screening approach with which the impact of knocking down various DNA repair factors on prime editing efficiency can be stratified by cis-chromatin context. Finally, we demonstrate that we can dramatically modulate the efficiency of prime editing through epigenome editing, i.e. enhancing (or restricting) local chromatin accessibility in order to increase (or decrease) the efficiency of prime editing at a target site. Looking forward, we envision that the insights and tools described here will broaden the range of both basic research and therapeutic contexts in which prime editing is useful.
2023-04-12 | GSE228464 | GEO
Project description:Prime editing is a powerful means of introducing precise changes to specific locations in mammalian genomes. However, the widely varying efficiency of prime editing across target sites of interest has limited its adoption in the context of both basic research and clinical settings. Here, we set out to exhaustively characterize the impact of the cis-chromatin environment on prime editing efficiency. Utilizing a newly developed and highly sensitive method for mapping the genomic locations of a randomly integrated “sensor”, we identify specific epigenetic features that strongly correlate with the highly variable efficiency of prime editing across different genomic locations. Next, to assess the interaction of trans-acting factors with the cis-chromatin environment, we develop and apply a pooled genetic screening approach with which the impact of knocking down various DNA repair factors on prime editing efficiency can be stratified by cis-chromatin context. Finally, we demonstrate that we can dramatically modulate the efficiency of prime editing through epigenome editing, i.e. enhancing (or restricting) local chromatin accessibility in order to increase (or decrease) the efficiency of prime editing at a target site. Looking forward, we envision that the insights and tools described here will broaden the range of both basic research and therapeutic contexts in which prime editing is useful.
2023-04-12 | GSE228463 | GEO
Project description:To investigate the possible consequences of APOBEC1 editing for miRNA targeting, high-throughput sequencing of RNA isolated by cross-linking immunoprecipitation (HITS-CLIP) of the Argonaute (Ago) proteins (Chi et al., 2009) was performed in BMDMs derived from wild-type and Apobec1-/- littermates.
2017-11-21 | GSE58798 | GEO
Project description:Coffee is one of the most important commodities cultivated worldwide and has great economic impact in producing countries. Although 130 different species belonging to the coffea gender have been described, only two of them are commercially exploited: Coffea arabica and Coffea canephora. C. arabica is responsible for 61% of the world production (Van der Vossen et al., 2015). However, due to the narrow genetic back ground, classical genetic breeding is time consuming and takes around 30 years (Santana-Buzzy et al., 2007; Hendre et al., 2014). Several genetic engineering and biotechnological tools have been successfully applied in coffee breeding. Somatic embryogenesis (SE) is a process in which new viable embryos are produced from somatic tissues. It is one of the most promising production processes (Santana-Buzzy et al, 2007; Marsoni et al., 2008). A better understanding of the molecular basis related to somatic embryogenesis will give insight into the process of embryo formation and totipotency and will allow the development of new in vitro culture strategies for the propagation and genetic manipulation of elite cultivars (Marsoni et al., 2008). High throughput proteomics in coffee is limited so far to 2D gel based proteomics techniques. Although really useful and the most common technique for plants, 2DE is limited in throughput and a gel free technique allow to go a step further (Carpentier & America, 2014; Vanhove et al., 2015). To improve the knowledge about somatic embryogenesis, we present the first high throughput proteome profile (1051 confident protein identifications) of coffee embryogenic cell suspensions developed from leaves of Coffea arabica cultivar Catuaí.
2016-02-03 | PXD002963 | Pride