X-chromosome inactivation (XCI) provides a dosage compensation mechanism where, in each female cell, one of the two X chromosomes is randomly silenced. However, some genes on the inactive X chromosome and outside the pseudoautosomal regions escape from XCI and are expressed from both alleles (escapees). We investigated XCI at single-cell resolution combining deep single cellRNA sequencing with whole-genome sequencing to examine allelic-specific expression in 935 primary fibroblast and 48 lymphoblastoid single cells from five female individuals. In this framework we integrated an original method to identify and exclude doublets of cells. In fibroblast cells, we have identified 55 genes as escapees including five novel escapee genes. Moreover, we observed that all genes exhibit a variable propensity to escape XCI in each cell and cell type and that each cell displays a distinct expression profile of the escapee genes. A metric, the Inactivation Score—defined as the mean of the allelic expression profiles of the escapees per cell—enables us to discover a heterogeneous and continuous degree of cellular XCI with extremes represented by “inactive” cells, i.e., cells exclusively expressing the escaping genes from the active X chromosome and “escaping” cells expressing the escapees from both alleles. We found that this effect is associated with cell-cycle phases and, independently, with the XIST expression level, which is higher in the quiescent phase (G0). Single-cell allele-specific expression is a powerful tool to identify novel escapees in different tissues and provide evidence of an unexpected cellular heterogeneity of XCI. Overall design: Single-cell RNA seq study on 935 human fibroblasts and 48 lymphoblastoid cells from 5 female individuals, in order to investigate the X chromosome nactivation mechanism on a single cell level and to identify escapee genes
Single cell transcriptome in aneuploidies reveals mechanisms of gene dosage imbalance.
Specimen part, Subject
View SamplesWe compared different mouse cancer cell lines to identify their unique cell signatures.
Mutant KRAS promotes malignant pleural effusion formation.
Specimen part, Cell line
View SamplesWe compared different mouse cancer cell lines to identify their unique cell signatures.
Mutant KRAS promotes malignant pleural effusion formation.
Specimen part, Cell line
View SamplesWe isolated mouse epithelial trachea cells from FVB mice in order to identify their transcriptomic signature.
Mutant KRAS promotes malignant pleural effusion formation.
Specimen part
View SamplesInattention, impulsivity and hyperactivity are the primary behaviors associated with Attention Deficit / Hyperactivity Disorder (ADHD). Previous studies proved that peripheral blood gene expression signature could mirror central nervous system disease.
Correlations of gene expression with ratings of inattention and hyperactivity/impulsivity in Tourette syndrome: a pilot study.
Sex, Age, Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Proteomic analysis of Medulloblastoma reveals functional biology with translational potential.
Sex, Specimen part
View SamplesThese gene expression microarrays were performed as part of a project aiming to integrate quantitative proteomic, gene expression and epigenetic data from the childhood brain tumor medulloblastoma.
Proteomic analysis of Medulloblastoma reveals functional biology with translational potential.
Sex, Specimen part
View SamplesBlood from subjects with cardioembolic stroke and controls was collected, and the RNA extracted was interrogated and whole genome U133 Affymetrix Arrays. Twenty-three control samples and sixty-nine cardioembolic stroke samples were assayed.
Gene expression in peripheral immune cells following cardioembolic stroke is sexually dimorphic.
Specimen part, Subject
View SamplesCurrent prophylactic and therapeutic strategies targeting human influenza viruses include vaccines and antivirals. Given variable rates of vaccine efficacy and antiviral resistance, alternative strategies are urgently required to improve disease outcomes. Here we describe the use of HiSeq deep sequencing to analyze host gene expression in primary human alveolar epithelial type II (ATII) cells infected with highly pathogenic avian influenza H5N1 virus. We employed primary human ATII cells isolated from normal human lung tissue donated by patients that underwent lung resection. Human host gene expression following HPAI H5N1 virus (A/Chicken/Vietnam/0008/04) infection of primary ATII cells was analyzed using Illumina HiSeq deep sequencing. Overall design: Human non-tumor lung tissue samples were donated by three anonymous patients undergoing lung resection at Geelong Hospital, Barwon Health, Australia. The research protocols and human ethics were approved by the Human Ethics Committees of Deakin University, Barwon Health and the Commonwealth Scientific and Industrial Research Organisation (CSIRO). An informed consent was obtained from all tissue donors. All research were performed in accordance with the guidelines stated in the National Statement on Ethical Conduct in Human Research (2007). The sampling of normal lung tissue was confirmed by the Victorian Cancer Biobank, Australia.
Deep sequencing of primary human lung epithelial cells challenged with H5N1 influenza virus reveals a proviral role for CEACAM1.
Specimen part, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Comparing Platforms for Messenger RNA Expression Profiling of Archival Formalin-Fixed, Paraffin-Embedded Tissues.
Specimen part, Disease
View Samples