ScRNA-seq profiling of tumor microenvironment in glioblastoma patient-derived orthotopic xenogratfs (PDOXs)
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE226468 | GEO | 2023/03/07
REPOSITORIES: GEO
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Project description:The dataset includes 144 BAM files of WGS, WES, and RNA-seq data from primary and PDOX samples analyzed in Smith et al, Acta Neuropathologica, 2020 (PMID: 32519082).
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Project description:A patient derived orthotopic xenograft (PDOX) was generated from a patient with an 53 aggressive extramedullary multiple myeloma (EMM) to study in-depth genetic and epigenetic events and drug responses related to extramedullary disease. Whole DNA methylome of the EMM PDOX was also evaluated and compared with a published dataset of 101 newly-diagnosed and chemotherapy-naïve MM patients and normal plasma cells (NPC) (Agirre et al., 2015) A rather balanced proportion of hyper/hypomethylated sites different to previously reported widespread hypomethylation in MM was observed.
2021-06-25 | E-MTAB-10654 | biostudies-arrayexpress
Project description:Primary patient pediatric brain tumors from patients treated at SJCRH were implanted and amplified only in the brain of immunocompromised mice without tissue culture steps and referred as patient-derived orthotopic xenografts (Smith et al, Acta Neuropathologica, 2020).
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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>
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2022-09-21 | GSE198820 | GEO
Project description:Anti-tick vaccines have proved to be an effective and sustainable method for the control of tick infestations and tick-borne diseases with clear advantages over the application of chemical acaricides (Šmit and Postma, 2016; de la Fuente, 2018; Ndawula and Tabor, 2020). Moreover, the efficacy of acaricide application against Ornithodoros ticks is seriously limited owing to their endophilic/nidicolous life style, which make these ticks less accessible to the chemical acaricides (Astigaraga et al., 1995). Success in tick vaccine development is largely dependent on identification of new and highly protective tick antigens. Searching of new candidate protective antigens is currently being approached among tick molecules that play important biological functions at the tick-host interface, and more precisely among the salivary and intestinal proteins involved in biological processes specifically evolved by ticks to adapt to haematophagy (de la Fuente et al., 2016; Oleaga et al., 2021; Pérez-Sánchez et al., 2021). Accordingly, next-generation sequencing (NGS) and high-throughput proteomics technologies are been used to explore the transcriptome and proteome of the salivary glands/saliva and midguts of an increasing number of tick species and obtain the corresponding sialomes and mialomes (Chmelař et al., 2016; Almeida-Martins et al., 2020; Mans et al., 2020; Oleaga et al., 2021). These studies have identified a wealth of tick molecules related to tick haematophagy, tick-host interplay and pathogen transmission, which can then be scrutinized and filtered in vaccinomics pipelines for selecting candidate protective antigens (Chmelař et al., 2016; Maruyama et al., 2017; Antunes et al., 2018; de la Fuente et al., 2018; Ren et al., 2019; Couto et al., 2021). Similarly, we were also interested in characterizing the O. erraticus sialome. As far as O. erraticus saliva must contain all the bioactive molecules that the tick need to successfully feed, decoding its composition will lead to the discovery of new antigen targets for developing vaccines for the control and prevention of O. erraticus infestations and the diseases it transmits. Accordingly, the objective of the present work was to obtain the proteome of the saliva of O. erraticus adult ticks. For this, we have used a proteomics informed by transcriptomics approach to analyse female and male saliva separately using two different mass spectrometry approaches: liquid chromatography-tandem mass spectrometry (LC-MS/MS) in data-dependent acquisition (DDA) mode, and Sequential Window Acquisition of all Theoretical fragment ion spectra Mass Spectrometry (SWATH MS). SWATH MS is a specific variant of data-independent acquisition (DIA) methods that combines deep proteome coverage capabilities with quantitative consistency and accuracy (Ludwig et al., 2018). Here we reported the identification of 387 non-redundant proteins in the saliva of O. erraticus adult ticks as well as a qualitative and quantitative comparison of the saliva protein composition between both sexes. The integration of O. erraticus sialoproteomic and sialotranscriptomic datasets facilitate a better understanding of the physiology of feeding in O. erraticus and will drive the discovery of new and more effective antigen targets for development of anti-tick vaccines.
2022-02-17 | PXD027367 | Pride
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