Aea52d7d-fd98-40db-b1a6-b65574504b7c - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001009413 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Total RNA sequencing (SMARTer Stranded Total RNA-Seq Kit v2) data of extracellular RNA (exRNA) from liquid biopsies of a BRC0004PR PDX and SK-N-BE(2C) CDX mouse model, and total RNA sequencing profiles of the matching PDX tumors.
| EGAD00001008318 | EGA
Project description:Total RNA sequencing (SMARTer Stranded Total RNA-Seq Kit v2) data of extracellular RNA (exRNA) from liquid biopsies of neuroblastoma xenograft models.
| EGAD00001010905 | EGA
Project description:We thus isolated prefrontal cotex from rhesus macaques and performed m6A-Seq analysis.MeRIP libraries using eluted RNA were constructed using the SMARTer Stranded Total RNA-Seq Kit v2 - Pico Input Mammalian User Manual according to the manufacturer’s instructions.
2024-05-20 | GSE174742 | GEO
Project description:Transcriptome profiling has emerged as a powerful tool to investigate the biomarker potential of human biofluids. However, despite an enormous interest in extracellular nucleic acids, total RNA sequencing methods to quantify RNA content outside cells are rare. Here, we evaluate the performance of the SMARTer Stranded Total RNA-Seq method in human platelet-rich plasma, platelet-poor plasma, urine, conditioned medium, and extracellular vesicles from these biofluids.
2019-09-01 | GSE131689 | GEO
Project description:An integrative analysis of human biofluid data in the exRNA Atlas revealed the existence of distinct extracellular RNA cargo types. To gain further insight on the biological nature of these cargo types, we correlated exRNA Atlas cargo profiles with a variety of other RNA-seq profiles. This study focuses on lipoprotein particle (LPP) exRNA profiles obtained via sequential density ultracentrifugation (SD-UC) and fast protein liquid chromatography (FPLC).
2018-12-20 | GSE124131 | GEO
Project description:SMARTer Stranded Total RNA-Seq method of human platelet-rich plasma, platelet-free plasma, urine, conditioned medium, and extracellular vesicles (EVs) from these biofluids. Including a titration experiment with spikes.
| EGAD00001006150 | EGA
Project description:Cells secrete extracellular RNA (exRNA) to their surrounding environment and exRNA has been found in many body fluids such as blood, breast milk and cerebrospinal fluid. However, there are conflicting results regarding the nature of exRNA. Here, we have separated two distinct exRNA profiles released by mast cells, here termed high-density (HD) and low-density (LD) exRNA. The exRNA in both fractions was characterized by microarray and next-generation sequencing. Both exRNA fractions contained mRNA and miRNA, and the mRNAs in the LD exRNA correlated closely with the cellular mRNA, whereas the HD mRNA did not. Furthermore, the HD exRNA was enriched in lincRNA, antisense RNA, vault RNA, snoRNA, and snRNA with little or no evidence of full-length 18S and 28S rRNA. The LD exRNA was enriched in mitochondrial rRNA, mitochondrial tRNA, tRNA, piRNA, Y RNA, and full-length 18S and 28S rRNA. The proteomes of the HD and LD exRNA-containing fractions were determined with LC-MS/MS and analysed with Gene Ontology term finder, which showed that both proteomes were associated with extracellular vesicles. Additionally, the proteins in the HD fractions tended to be associated with the nucleus and ribosomes, whereas the LD fraction proteome tended to be associated with the mitochondrion. We show that the two exRNA signatures released by a single cell type can be separated by floatation on a density gradient. These results show that cells can release multiple types of exRNA with substantial differences in RNA species content. This is important for any future studies determining the nature and function of exRNA released from different cells under different conditions.
2018-10-26 | PXD004931 | Pride
Project description:Purpose: The goals of this study is to determine the best method of gene expression quantification (RNA-seq, Microarray, NanoString) and amplification kits adapted to low-input and/or low-quality RNA samples (FFPE samples) Methods: Mouse bladder cancer cell line (mouse bladder cancer cell line, BC57) and mouse normal mouse normal urothelium were fixed in formalin and embedded in paraffin (FFPE), andfesh frozen (FF) in liquid nitrogen. The total RNA of these 4 samples were tested in triplicate by 3 technologies (NanoString, RNA-seq and Microarray) and the results were compared to its reference (high-quality and high-input RNA of mouse bladder cancer cell line and mouse normal mouse normal urothelium). For RNA-sequencing, each sample was tested by two library contruction kits: SMARTer Stranded Total RNA-Seq Kit - Pico Input mammelian and Ovation SoLo NuGEN RNA-seq System with three input quantities: 50pg, 250pg and 2ng of total RNA, except for the SMARTer Stranded Total RNA-Seq Kit - Pico Input mammelian kit for which the minimum recommended quantity was 250pg of total RNA. RNA-seq based on poly(A) tail enrichment was considered as the reference and was done for the two FF samples at high amount (1µg of total RNA) . Results obtained with the two tested kits were compared to those based on poly(A) tail enrichment. To determine which is the best kit suitable for RNA-seq, low-input and low-quality RNA samples, we performed RNA-seq control quality metrics, principal component analysis, and a differential analysis between the mouse bladder cancer cell lines and the mouse normal mouse normal urothelium for each input quantity, library kit and method of sample preservation (FF or FFPE). Results: The Ovation SoLo NuGEN RNA-seq System library kit are recommended for quantification of gene expression of FFPE and FF samples at low-input (down to 50pg) whereas the SMARTer Stranded Total RNA-Seq Kit - Pico Input mammelian is only suitable for FF samples from 250pg of total RNA.
2024-07-19 | GSE117677 | GEO
Project description:Purpose: The goals of this study is to determine the best method of gene expression quantification (RNA-seq, Microarray, NanoString) and amplification kits adapted to low-input and/or low-quality RNA samples (FFPE samples) Methods: Mouse bladder cancer cell line (mouse bladder cancer cell line, BC57) and mouse normal mouse normal urothelium were fixed in formalin and embedded in paraffin (FFPE), andfesh frozen (FF) in liquid nitrogen. The total RNA of these 4 samples were tested by 3 technologies (NanoString, RNA-seq and Microarray) and the results were compared to its reference (high-quality and high-input RNA of mouse bladder cancer cell line and mouse normal mouse normal urothelium). For NanoString with low-input RNA samples, each sample was tested by NanoString quantification after amplification by SMARTer Stranded Total RNA-Seq Kit - Pico Input mammelian and Ovation SoLo NuGEN RNA-seq System, and NanoString based on PCR approach with three input quantities: 50pg, 250pg and 2ng of total RNA, except for NanoString quantification after amplification by SMARTer Stranded Total RNA-Seq Kit - Pico Input mammelian kit for which the minimum recommended quantity was 250pg of total RNA. NanoString direct quantification was also done for FF and FFPE samples at high amount (50ng of total RNA) and results obtained from FF samples were considered as the reference. To determine which is the method for NanoString technology, low-input and low-quality RNA samples, we performed NanoString control quality metrics, principal component analysis, and a differential analysis between the mouse bladder cancer cell lines and the mouse normal mouse normal urothelium for each input quantity, amplification method and method of sample preservation (FF or FFPE). Results: The NanoString based PCR based approach is recommended for quantification of gene expression of FFPE and FF samples from 250pg of total RNA. However, NanoString quantification after amplification by SMARTer Stranded Total RNA-Seq Kit - Pico Input mammelian and Ovation SoLo NuGEN RNA-seq System is not recommended for FF and FFPE from low-input samples.
2024-07-19 | GSE117670 | GEO
Project description:In this study, we present a comprehensive evaluation of four RNA-Seq library preparation methods. We used three standard input protocols, the Illumina TruSeq Stranded Total RNA and TruSeq Stranded mRNA kits, and a modified NuGEN Ovation v2 kit; and an ultra-low-input RNA protocol, the TaKaRa SMARTer Ultra Low RNA Kit v3. Our evaluation of these kits included quality control measures such as overall reproducibility, 5’ and 3’ end-bias, and the identification of DEGs, lncRNAs, and alternatively spliced transcripts. Overall, we found that the two Illumina kits were most similar in terms of recovering DEGs, and the Illumina, modified NuGEN, and TaKaRa kits allowed identification of a similar set of DEGs. However, we also discovered that the Illumina, NuGEN and TaKaRa kits each enriched for different sets of genes.
2019-06-27 | GSE131396 | GEO