Project description:Technological advances in genomics, epigenomics, transcriptomics and proteomics have enabled massively parallel measurements across thousands of genes and gene products. Such high-throughput technologies have been extensively used to carry out genome-wide studies particularly in the context of diseases. Nevertheless, a unified analysis of the genome, epigenome, transcriptome, and proteome of a single mammalian cell type to obtain a coherent view of the complex interplay between omes has not yet been undertaken. Here, we report the first multi-omic analysis of human primary naÃ¯ve CD4+ T cells, revealing hundreds of unannotated mRNA transcripts, miRNAs, pseudogenes, and noncoding RNAs. Additionally, we carried out a comparative analysis of naÃ¯ve CD4+ T cells with primary resting memory CD4+ T cells, which have provided novel insights into T cell biology. Overall, our data will serve as a baseline reference of a single pure population of cells for future systems level analysis of other defined cell populations.

2016-04-04 | MSV000079624 | MassIVE

A Multi-Omic Analysis of Human Naive CD4 T cells

Project description:Technological advances in genomics, epigenomics, transcriptomics and proteomics have enabled massively parallel measurements across thousands of genes and gene products. Such high-throughput technologies have been extensively used to carry out genome-wide studies particularly in the context of diseases. Nevertheless, a unified analysis of the genome, epigenome, transcriptome, and proteome of a single mammalian cell type to obtain a coherent view of the complex interplay between omes has not yet been undertaken. Here, we report the first multi-omic analysis of human primary naïve CD4+ T cells, revealing hundreds of unannotated mRNA transcripts, miRNAs, pseudogenes, and noncoding RNAs. Additionally, we carried out a comparative analysis of naïve CD4+ T cells with primary resting memory CD4+ T cells, which have provided novel insights into T cell biology. Overall, our data will serve as a baseline reference of a single pure population of cells for future systems level analysis of other defined cell populations.

2015-11-12 | PXD000376 | Pride

TR study of ‘A multi-center proof-of-concept phase2 study of encorafenib + binimetinib + cetuximab in patients with BRAF non-V600E mutated metastatic colorectal cancer (BIGBANG study)&quot

Project description:Primary outcome(s): Cancer related genome analysis, gene expression and molecular characterization analysis

| 2647002 | ecrin-mdr-crc

Detection of Colorectal Cancer in Peripheral Blood by Septin 9 DNA Methylation Assay

Project description:Epigenomics is developing a colon cancer screening assay based on differential methylation of specific CpG sites for the detection of early stage disease. A genome-wide methylation analysis and oligonucleotide array study using DNA from various stages of colon cancer and normal tissue have been completed to obtain candidate CpG markers. Based on results obtained in the above studies, Epigenomics has moved to the final stages of feasibility with a specific, highly sensitive real-time marker assay that is able to detect colon cancer DNA in blood plasma.

| 2056787 | ecrin-mdr-crc

TR accompanied with the study titled A multicenter phase II study of Nivolumab monotherapy in recurrent and/or metastatic gastrointestinal cancer patients with high Tumor Mutation Burden (TMB-H).

Project description:Primary outcome(s): 1. Evaluation of genome abnormality and gene expression by omics analysis of tumor etc. 2. TCR repertoire analysis and RNA expression analysis etc. of T cells in tumor tissue and peripheral blood. 3. Prediction and identification of tumor neo-antigen and evaluation of immunogenicity etc. 4. Analyze ctDNA(16S rRNA PCR) and feces of patients with advanced solid malignancies over time to profile and monitor cancer-related genomic alterations 5. Assessment of the relationship between the analysis above and clinical pathological features or therapeutic efficacy etc.

| 2648665 | ecrin-mdr-crc

Scalable Microfluidics for Single Cell RNA Printing and Sequencing

Project description:Single cell transcriptomics has emerged as a powerful approach to dissecting phenotypic heterogeneity in complex, unsynchronized cellular populations. However, many important biological questions demand quantitative analysis of large numbers of individual cells. Hence, new tools are urgently needed for efficient, inexpensive, and parallel manipulation of RNA from individual cells. We report a simple microfluidic platform for trapping single cell lysates in sealed, picoliter microwells capable of “printing” RNA on glass or capturing RNA on polymer beads. To demonstrate the utility of our system for single cell transcriptomics, we developed a highly scalable technology for genome-wide, single cell RNA-Seq. The current implementation of our device is pipette-operated, profiles hundreds of individual cells in parallel with library preparation costs of ~$0.10-$0.20/cell, and includes five lanes for simultaneous experiments. We anticipate that this system will ultimately serve as a general platform for large-scale single cell transcriptomics, compatible with both imaging and sequencing readouts.!Series_type = Expression profiling by high throughput sequencing

2015-05-21 | GSE66357 | GEO

Time-course analysis of transcriptomic changes of mesothelial cells after stress exposure

Project description:To determine the transcriptional program that imparts adhesion capacity to healthy mesothelial cells, we analyzed subtle gene expression changes by performing highly parallel single-cell RNA-seq genome-wide expression profiling of individual mesothelial cells exposed to stress (Extended Figure 6A) using the Drop-seq workflow (Pubmed ID 26000488). We individually sequenced >16,000 cells from Met-5A mesothelial cells at various time-points after exposure to a 15 min desiccation shock, as well as under control unstressed conditions.

2020-04-30 | GSE149583 | GEO

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