4732 results for "RNA AND sequencing OR transcriptome"

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• Human Companion Data for 'A Transcriptomic Atlas of Mouse Cerebellar Cortex Reveals Novel Cell Types'

  In this study, we used single-nucleus RNA-seq to comprehensively define the cell specialization of the mouse cerebellar cortex and vermis. We focused in particular on two interneuron populations—the unipolar brush cells (UBCs) and the molecular layer interneurons (MLIs), identifying continuous variation within the former population, and a new discrete axis of variation in the latter. Human postmortem tissue was used to demonstrate that these specializations are evolutionarily conserved in primates. Together, these findings provide the first comprehensive cellular atlas of the cerebellar cortex, and outline a methodological and conceptual framework for the integration of molecular, morphological, and physiological ontologies for defining brain cell types.

  Study phs002414

• The Epigenomic Atlas of Early Human Craniofacial Development

  Parallel profiling of six distinct histone modifications via ChIP-Seq in craniofacial tissue samples from individual human embryos was performed. Epigenomic marks imputed with ChromImpute and a 25-state chromatin state model of uniformly processed epigenomic data was produced through ChromHMM. Samples were obtained from the MRC-Wellcome Trust Human Developmental Biology Resource (HDBR) tissue bank. HDBR provided karyotypically and developmentally normal pharyngeal arch or craniofacial tissue from embryos between 4.5 and 10 post-conception weeks. This repository contains raw data (fastq) files from ChIP-seq and RNA-seq experiments associated with this project. Processed ChIP-seq data and imputed data for additional histone marks are available at GEO (Series GSE97752).

  Study phs002008

• Enhancer signatures stratify and predict outcomes of non-functional pancreatic neuroendocrine tumors

  Most pancreatic neuroendocrine tumors (PNETs) do not produce symptoms of hormonal excess and are hence considered “non-functional”. Their clinical behaviors vary widely, emphasizing the need for a robust classification with prognostic power. Using enhancer maps to infer regulatory programs, we find that the large majority of non-functional PNETs fall into two major sub-types that reflect alpha and beta endocrine cell ontogeny, respectively. Tumors of the different subtypes have similar clinical presentations and histology, but express distinct lineage-specifying transcription factors, ARX or PDX1. Here we provide the raw ChIP-seq and RNA-seq data of the PNET cohort in this study, as well as ChIP-seq data of ileal carcinoids.

  Study phs001910

• Transcriptomic profiling of granulosa cells from IVF patients at different ages

  Two major factors contributing to reduced fertility is use of exogenous hormones and old age. Here, we sequenced RNA from granulosa cell samples from human patients undergoing in vitro fertilization to test how hormonally stimulated cells' transcriptional profiles change with age. All patients were normal responders referred for male infertility and were grouped into two age groups. The gene expression differences in aging were compared to mouse data (previous experiments, see ArrayExpress E-MTAB-13479) and the results are published in the article "Granulosa cell transcription is similarly impacted by superovulation and aging and predicts early embryonic trajectories". Corresponding count tables are available in ArrayExpress (E-MTAB-13496).

  Study EGAS50000000824

• Splicing signature analysis of RNU2-2 samples

  Dominant pathogenic variants in the snRNA RNU2-2 were recently reported as a cause of neurodevelopmental disorders. In our study we identified additional individuals with dominant variants (n.4G>A and n.35A>G) and we also identified biallelic variants as a novel frequent cause of neurodevelopmental disorder. We obtained blood samples and performed short-term lymhocytes cultures for 19 cases (5 n.4; 5 n.35; 9 biallelic). We generated exome-capture RNA-Seq for these cases that we compared to 49 controls (probands affected from a neurodevelopmental disorder but without RNU2-2 variants). We observed that RNU2-2 variants mainly disturb alternative exon skipping, although affecting different exons.

  Study EGAS50000001410

• A human induced pluripotent stem cell toolbox for studying sex chromosome effects -transcriptional landscape

  We use state of the art reprogramming methods to generate panels of isogenic XXY, XX and XY iPSCs from XXY patient fibroblasts. We use CRISPR/Cas9 system to evict Y chromosome from XY cells and generate XO iPSCs. The generation and characterisation of panels of isogenic XXY, XX, XY and XO iPSCs will provide a foundational toolkit to study sex differences in vitro. As iPSCs can be differentiated into any somatic cell type, we can apply the model to any human disease. We have generated bulk RNA-Seq from 12 autosomally isogenic hiPSCs to investigate transcriptional landscape and any differences in those cells in pluripotent state.

  Study EGAS50000000931

• comparing the snRNA-seq from placentas of mothers with or without obesity

  Obesity poses risks to maternal health and increases the likelihood of short- and long-term adverse pregnancy outcomes in the offspring. The placenta, a key organ at the maternal-fetal interface, responds to maternal obesity and regulates fetal growth. To investigate the molecular features of physiological adaptation, we perform single-nuclei RNA-seq on human placentas and compared the transcriptomic profiles of women with obesity delivering appropriate- or large-for-gestational age (i.e., AGA and LGA) babies with those from normal-weight healthy controls with AGA babies. The snRNA-seq libraries were generated with Chromium Single Cell 3’ kit v3.1 (10X Genomics) and sequenced on Illumina NovaSeq 6000 at Novogene.

  Study EGAS50000000834

• Multiple Sclerosis risk variants regulate gene expression in innate and adaptive immune cells

  Each of at least 200 single nucleotide polymorphisms (SNPs) have been confirmed to be associated with individually small increases in the risk of Multiple Sclerosis (MS). A key function that could mediate SNP encoded MS risk is their regulatory effects on gene expression or splicing. Transcriptomic profiling was performed using Affymetrix gene-expression microarrays, using RNA extracted from purified human peripheral blood monocytes, CD4 and CD8 positive lymphocyte cells, B-lymphocyte cells and Natural Killer cells from 73 untreated MS cases and 97 healthy controls. Cis expression quantitative trait locus (eQTL) mapping studies were performed in each cell type separately to characterize MS risk loci associated with gene expression change.

  Study EGAS00001004087

• Blood DNA Methylation in Post-Acute Sequelae of COVID-19 (PASC): a Prospective Cohort Study

  Background: DNA methylation integrates environmental signals with transcriptional programs. COVID-19 infection induces changes in the host methylome. While post-acute sequelae of COVID-19 (PASC) is a long-term complication of acute illness, its association with DNA methylation is unknown. No universal blood marker of PASC, superseding single organ dysfunctions, has yet been identified. Methods: In this single center prospective cohort study, PASC, post-COVID without PASC, and healthy participants were enrolled to investigate their symptoms association with peripheral blood DNA methylation data generated with state-of-the-art whole genome sequencing (WGS). PASC-induced quality-of-life deterioration was scored with a validated instrument, SF-36. Analyses were conducted to identify potential functional roles of differentially methylated loci, and machine learning algorithms were used to resolve PASC severity. Findings: 103 patients with PASC (22.3% male, 77.7% female), 15 patients with previous COVID-19 infection but no PASC (40.0% male, 60.0% female), and 27 healthy volunteers (48.1% male, 51.9% female) were enrolled. Whole genome methylation sequencing revealed 39 differentially methylated regions (DMRs) specific to PASC, each harboring an average of 15 consecutive positions, that differentiate patients with PASC from the two control groups. Motif analyses of PASC-regulated DMRs identify binding domains for transcription factors regulating circadian rhythm and others. Some DMRs annotated to protein coding genes were associated with changes of RNA expression. Machine learning support vector algorithm and random forest hierarchical clustering reveal 28 unique differentially methylated positions (DMPs) in the genome discriminating patients with better and worse quality of life.

  Study phs003658

• DNA demethylation is associated with malignant progression of low-grade gliomas

  To elucidate the mechanisms of tumor progression is key to discovering strategies for treating patients with lower-grade glioma. Thus to characterize the changes in the molecular profile during malignant progression, we performed methylation array analysis (122 tumors), whole-exome sequencing (36 tumors and matched normal samples), and RNA sequencing (31 tumors). This cohort included 24 matched pairs of initial lower-grade gliomas and recurrent tumors, most of which showed malignant progression when they recurred. Nearly half of IDH-mutant glioblastomas that had progressed from lower-grade gliomas exhibited characteristic partial DNA demethylation in previously methylated genomic regions of their corresponding initial tumors, which had the glioma CpG island methylator phenotype (G-CIMP). In these glioblastomas, cell cycle-related genes were upregulated, RB and PI3K-AKT pathway genes were frequently altered. Notably, bioinformatics analysis revealed that late-replicating domain was significantly enriched in the demethylated regions that were mostly located in non-regulatory regions, suggesting that the loss of DNA methylation during malignant transformation may involve mainly passive demethylation due to a delay in maintenance of methylation during accelerated cell division. Nonetheless, a limited number of genes including IGF2BP3, which potentially drives cell proliferation, were presumed to be upregulated due to demethylation of their promoter. Thus, cell proliferation was further promoted by passive demethylation in the promoter region of these oncogenic genes. Our data indicated that demethylation of the G-CIMP profile found in a subset of recurrent gliomas reflects accelerated cell divisions accompanied by malignant transformation. Oncogenic genes activated by such epigenetic change represent potential therapeutic targets.

  Study JGAS000146