Ontology highlight
ABSTRACT:
PROVIDER: PRJNA917332 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR22952366.fastq.gz | Fastqsanger.gz | |||
| SRR22952367.fastq.gz | Fastqsanger.gz | |||
| SRR22952368.fastq.gz | Fastqsanger.gz | |||
| SRR22952369.fastq.gz | Fastqsanger.gz | |||
| SRR22952370.fastq.gz | Fastqsanger.gz |
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Project description:Single cell-based studies have revealed tremendous cellular heterogeneity in stem cell and progenitor compartments, suggesting continuous differentiation trajectories with intermixing of cells at various states of lineage commitment and notable degree of plasticity during organogenesis. The hepato-pancreato-biliary organ system relies on a small endoderm progenitor compartment that gives rise to a variety of different adult tissues, including liver, pancreas, gallbladder, and extra-hepatic bile ducts. Experimental manipulation of various developmental signals in the mouse embryo underscored important cellular plasticity in this embryonic territory. This is also reflected in the existence of human genetic syndromes as well as congenital or environmentally-caused human malformations featuring multiorgan phenotypes in liver, pancreas and gallbladder. Nevertheless, the precise lineage hierarchy and succession of events leading to the segregation of an endoderm progenitor compartment into hepatic, biliary, and pancreatic structures are not yet established. Here, we combine computational modelling approaches with genetic lineage tracing to assess the tissue dynamics accompanying the ontogeny of the hepato-pancreato-biliary organ system. We show that a multipotent progenitor domain persists at the border between liver and pancreas, even after pancreatic fate is specified, contributing to the formation of several organ derivatives, including the liver. Moreover, using single-cell RNA sequencing we define a specialized niche that possibly supports such extended cell fate plasticity.
2021-07-01 | MODEL2105030001 | BioModels
Project description:Background: RNA editing encompasses a post-transcriptional process in which the genomically templated sequence is enzymatically altered and introduces a modified base into the edited transcript. Mammalian C-to-U RNA editing represents a distinct subtype of base modification, whose prototype is intestinal apolipoproteinB (apoB) mRNA, mediated by the catalytic deaminase Apobec-1. However, the genome-wide identification, tissue-specificity and functional implications of Apobec-1 mediated C-to-U RNA editing remains incomplete. Results: Deep sequencing, data filtering and Sanger-sequence validation of intestinal and hepatic RNA from wild-type and Apobec-1 deficient mice revealed 56 novel editing sites in 54 intestinal mRNAs and 22 novel sites in 17 liver mRNAs (74-81% Sanger sequenced validated), all within 3’ untranslated regions. Eleven of 17 liver RNAs shared editing sites with intestinal RNAs, while 6 sites were unique to liver. Changes in RNA editing led to corresponding changes in intestinal mRNA and protein levels in 11 genes. RNA editing in vivo following tissue-specific Apobec-1 adenoviral or transgenic Apobec-1 overexpression revealed that a subset of targets identified in wild-type mice were restored in Apobec-1 deficient mouse intestine and liver following Apobec-1 rescue. We found distinctive polysome profiles for several RNA editing targets and demonstrated novel exonic editing sites in nuclear preparations from intestine (but not hepatic) apoB RNA. RNA editing was validated using cell-free extracts from wild-type but not Apobec-1 deficient mice, demonstrating that Apobec-1 is required. Conclusions: These studies define selective, tissue-specific targets of Apobec-1 dependent RNA editing and show the functional consequences of editing are both transcript- and tissue-specific.
2014-06-02 | PXD001007 | Pride
Project description:Typical multiomics studies employ separate methods for DNA, RNA, and protein sample preparation, which is labor intensive, costly, and prone to sampling bias. We describe here a method for preparing high-quality DNA, RNA, and protein or peptides for whole genome sequencing, RNA sequencing, and whole proteome analysis from a single sample. This method utilizes a reversible protein tagging scheme to covalently link all proteins in a lysate to a bead-based matrix and nucleic acid precipitation and selective solubilization to yield separate pools of protein and nucleic acids. The proteins are then digested to generate peptides ready for mass spectrometric proteome analysis. We demonstrate the utility of this method to compare the genomes, transcriptomes, and proteomes of four triple-negative breast cancer cell lines with different degrees of malignancy. These data show the involvement of both RNA and associated proteins, and protein-only dependent pathways that distinguish these cell lines. We also demonstrate the utility of this multiomics workflow for tissue analysis using mouse brain, liver and lung tissue.
2023-08-29 | MSV000092780 | MassIVE
Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None.
Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes.
For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..
| 2612481 | ecrin-mdr-crc
Project description:Background: The majority of multi-omics studies make use of adjacent fresh-frozen tissue pieces for different analyses. This approach however is not considering the intrinsic tissue heterogeneity and can lead to a biological mismatch of different omics layers. To overcome this limitation, we here propose an alternative approach where tissue is cryogenically pulverized and lyophilized, obtaining a homogenous tissue powder that can be used for subsequent omics studies. The purpose of this study was to investigate how omics analysis differ or coincide when comparing adjacent tissue slices to homogenized powder using three major mammalian organs from a wildtype mouse model.
Methods: Healthy fresh-frozen and pulverized-lyophilized mouse tissue from brain, kidney, and liver was subjected to DNA methylation and genome sequencing (genomics), RNA sequencing (transcriptomics), protein (proteomics), and metabolite (metabolomics) analysis. Obtained analytical results were investigated by statistical and quality control measures, including dendrograms, correlation analysis, principal component analysis, RNA integrity, feature coverage, and energy charge estimation.
Results: DNA methylation was not affected differently by the two different tissue processing methods. The RNA integrity obtained was comparable between fresh-frozen tissue slicing and pulverization-lyophilization. The coverage of gene transcripts, proteins, and metabolites was preserved similarly by both methodological approaches. Overall the pulverization-lyophilization approach resulted in a reduced heterogeneity between biological replicates.
Conclusions: Cryogenically pulverized and lyophilized tissue preserves the most important cellular molecular features, such as RNA integrity, DNA methylation status, gene transcript, protein, and metabolite coverage. Therefore, it is a suitable alternative method for improved multi-omics analysis, providing reduced sample heterogeneity, beneficial for batch reproducibility, as well as easier transportation and storage conditions due to complete water removal.
2024-03-11 | MSV000094288 | MassIVE
Project description:Background: The majority of multi-omics studies make use of adjacent fresh-frozen tissue pieces for different analyses. This approach however is not considering the intrinsic tissue heterogeneity and can lead to a biological mismatch of different omics layers. To overcome this limitation, we here propose an alternative approach where tissue is cryogenically pulverized and lyophilized, obtaining a homogenous tissue powder that can be used for subsequent omics studies. The purpose of this study was to investigate how omics analysis differ or coincide when comparing adjacent tissue slices to homogenized powder using three major mammalian organs from a wildtype mouse model.
Methods: Healthy fresh-frozen and pulverized-lyophilized mouse tissue from brain, kidney, and liver was subjected to DNA methylation and genome sequencing (genomics), RNA sequencing (transcriptomics), protein (proteomics), and metabolite (metabolomics) analysis. Obtained analytical results were investigated by statistical and quality control measures, including dendrograms, correlation analysis, principal component analysis, RNA integrity, feature coverage, and energy charge estimation.
Results: DNA methylation was not affected differently by the two different tissue processing methods. The RNA integrity obtained was comparable between fresh-frozen tissue slicing and pulverization-lyophilization. The coverage of gene transcripts, proteins, and metabolites was preserved similarly by both methodological approaches. Overall the pulverization-lyophilization approach resulted in a reduced heterogeneity between biological replicates.
Conclusions: Cryogenically pulverized and lyophilized tissue preserves the most important cellular molecular features, such as RNA integrity, DNA methylation status, gene transcript, protein, and metabolite coverage. Therefore, it is a suitable alternative method for improved multi-omics analysis, providing reduced sample heterogeneity, beneficial for batch reproducibility, as well as easier transportation and storage conditions due to complete water removal.
2024-03-11 | MSV000094288 | GNPS