3884 results for "RNA AND sequencing OR transcriptome"

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• Human Paraganglioma

  This dataset comprises single-nucleus transcriptomic profiles from 9 human paraganglioma samples. Nuclei were isolated and processed using the SMART-Seq2 protocol to enable full-length, high-resolution RNA sequencing at the single-nucleus level. cDNA libraries were generated and sequenced on the Illumina HiSeq 2500 platform. The resulting raw sequencing data are provided as .fastq files for downstream analysis.

  Dataset EGAD50000001689

• Human Neuroblastoma

  This dataset comprises single-nucleus transcriptomic profiles from 10 human neuroblastoma samples. Nuclei were isolated and processed using the SMART-Seq2 protocol to enable full-length, high-resolution RNA sequencing at the single-nucleus level. cDNA libraries were generated and sequenced on the Illumina HiSeq 2500 platform. The resulting raw sequencing data are provided as .fastq files for downstream analysis.

  Dataset EGAD50000001596

• A thymic ILC1-like progenitor with differentiation potential towards KIR+NKG2A- NK cells

  The dataset contains bulk RNA sequencing data from 12 pediatric thymus samples collected during cardiac surgeries. These samples represent immunologically healthy donors with a mean age of 6 months. The sequencing was performed using Illumina HiSeq4000, and the processed files are available in standard formats such as FASTQ.

  Dataset EGAD50000001120

• Epigenomics and Single-cell Sequencing Define Cellular Heterogeneity in Langerhans Cell Histiocytosis

  Epigenomic and transcriptomic analysis of Langerhans cell histiocytosis (LCH) biopsies. Single-cell RNA-seq (10x Genomics) of seven LCH biopsies. ATAC-seq data from four sorted cell populations (in duplicate) from one LCH biopsy.

  Dataset EGAD00001005280

• Single-cell transcriptome landscape of developing fetal gonads defines somatic cell lineage specification in humans

  Single-cell RNA-seq dataset recovering the gene expression programs of around 128,000 single cells derived from 17 fetal testes and 16 fetal ovaries from 5 to 12 postconceptional weeks.

  Dataset EGAD00001009811

• Tumor gene expression profiles for the study "TGF-β attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells"

  RNA was extracted from formalin-fixed and paraffin embedded tumors of a large cohort of bladder cancer patients before treatment with anti-PD-L1. RNA was sequenced using a capture based approach (exome capture, RNA access).

  Dataset EGAD00001003977

• Identification of molecule relationship between intravenous leiomyomatosis and uterus myoma

  Up to now, there are two hypothesis about the pathogenesis of the relationship of intravenous leiomyomatosis and uterine myoma. One theory suggests that the IVL comes from the smooth muscle cell in the vessel wall.The other theory indicates that the IVL derives from the uterine myometrium. However, limited to the technology, few studies have been deeply explore the underlying relation. In this study, we employ the RNA sequencing to explore the molecule relationship between IVL and uterus myoma. In order to identify the molecule relationship between IVl and uterine myoma we conducted transcriptome sequencing and bioinformaitc analysis

  Dataset EGAD00001003356

• RNA-seq as a tool for evaluating human embryo competence

  The majority of embryos that are created through IVF do not implant. One possibility for this inefficiency is an incomplete understanding of the molecular factors affecting embryo competence. Currently, the process of selecting an embryo for uterine transfer utilizes an ad-hoc combination of morphological criteria, the kinetics of development, and genetic testing for aneuploidy. However, no single criterion can ensure selection of a viable embryo. In contrast, RNA-sequencing of embryos could yield highly dimensional data, which may provide additional insight and illuminate the discrepancies among current selection criteria. Indeed, recent advances enabling the production of RNA-sequencing (RNA-seq) libraries from single cells have facilitated the application of this technique to the study of some transcriptional events in early human development. However, these studies have not assessed the quality of their constituent embryos relative to commonly used embryological criteria. Here, we perform proof-of-principle advancement to clinical selection procedures by generating high quality RNA-seq libraries from a trophectoderm biopsy as well as the remaining whole embryo. We combine state-of-the-art embryological methods with low-input RNA-seq to develop the first transcriptome-wide approach for use in future predictive embryology studies. Specifically, we demonstrate the capacity of RNA-seq as a promising tool in preimplantation screening by showing that biopsies of an embryo can capture valuable information content available in the whole embryo from which they are derived. Furthermore, we show that this technique can be used to generate a RNA-based digital karyotype, and to develop a foundational dataset for identifying candidate competence-associated genes. Together, these data establish the foundation for a future RNA-based diagnostic in IVF.

  Study EGAS00001003667

• Transcriptome data of WS patients and controls

  Fibroblasts of 4 WS patients and 4 sex matched controls were transformed into iPSCs, which were then differentiated to Neuroepithelial Stem Cells (NESCs), and further differentiated into neurons. RNA sequencing was performed at the NESC stage and after 4 and 8 weeks of neural development for 3 replicates per individual using the Illumina TruSeq stranded library polyA method on the NovaSeq6000 platform at NGI Stockholm. The data was preprocessed using the nf-core/rnaseq (https://nf-co.re/rnaseq) that includes quality control, data cleaning, and read alignment to GRCh38 (STAR, v2.6.1d)

  Dataset EGAD50000001728

• Transcriptome sequencing of hepatocellular carcinoma biopsies (TACE study)

  Illumina-based RNA-Seq analysis of 93 liver samples. Biopsies of tumors and non-tumor tissues are included. Samples are stratified by response and non-response to TACE treatment.

  Dataset EGAD00001008158