Ontology highlight
ABSTRACT:
PROVIDER: PRJNA967481 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Microfluidics-free single-cell genomics with templated emulsification
| PRJNA838959 | ENA
Project description:Single Bacterial Cell Whole Genome Amplification
| PRJEB2063 | ENA
Project description:Massively parallel single-cell RNA sequencing can precisely resolve cellular diversity in a high-throughput manner at low cost, but unbiased isolation of intact single cells from complex tissues, such as adult mammalian brains, is challenging. Here, we integrate sucrose-gradient assisted nuclei purification with droplet microfluidics to develop a highly scalable single-nucleus RNA-Seq approach (sNucDrop-Seq), which is free of enzymatic dissociation and nuclei sorting. By profiling ~18,000 nuclei isolated from cortical tissues of adult mice, we demonstrate that sNucDrop-Seq not only accurately reveals neuronal and non-neuronal subtype composition with high sensitivity, but also enables in-depth analysis of transient transcriptional states driven by neuronal activity, at single-cell resolution, in vivo.
2017-12-07 | GSE106678 | GEO
Project description:Here we modified a single cell whole transcriptome amplification method to make it capable of amplifying cDNAs as long as 3kb efficiently and unbiasedly. We combined this modified single cell cDNA amplification method with Applied Biosystems next generation sequencing SOLiD™ System to set up a single cell whole transcriptome assay. The modified amplification strategy allows us to amplify full-length cDNAs for most of the expressed genes. We show that it is feasible to get digital gene expression profiles at single cell resolution. This allows us to ask fundamental biological questions that could not be addressed previously, especially in the early embryonic development field, and to understand transcriptome complexity at the resolution of a single cell.
2009-02-23 | GSE14605 | GEO
Project description:Single cell sequencing (SCS) is a promising approach for precisely digging into the genetic heterogeneity at single cells level. Single cell whole genome/exome sequencing (scWGS/scWES) and single cell whole transcriptome sequencing (scRNA-seq) are methods of SCS and have been applied in various studies of solid tumors, e.g. liver cancer, breast cancer. However, no scRNA-seq-related studies of human colon-cancer tissue-samples have been conducted. In this study, we developed a modified and efficient colon-cancer-tissue SCSs system (named CCTSs-SCSs system) by combining four optimization technologies: tissue digestion, live and intact single-cells capture, single-cell RNA or genome amplification and sequencing, and bioinformatics analysis. This advanced system is applicable to both scRNA-seq and scWGS/scWES. Using this system, we successfully completed several single cells scRNA-seq and scWES, and found three key points of this system: an improved digestion system, FACS-based dead-cell-removal method for scRNA-seq, 20 cycles for scRNA amplification. Our CCTSs-SCSs system provides a reliable and efficient method of scRNA-seq or scWGS/scWES for human colon cancer tissue and contributes to single-cell level and precise studies for colon cancer.
2019-12-01 | GSE92432 | GEO
Project description:We developed an enrichment-free, metabolic-based assay for rapid detection of tumor cells in the pleural effusion and peripheral blood samples. All nucleated cells are plated on microwell chips that contain 200,000 addressable microwells and then screened the chips. After candidate tumor cells were identified, retrieved single tumor cells with micromanipultor. To detection and analysis molecular characterization of these circulating tumor cells, we performed single cell whole genome amplification with multiple displacement amplification (MDA) technology and whole exome sequencing.
2017-02-17 | E-MTAB-4948 | biostudies-arrayexpress
Project description:Single-cell DNA methylation sequencing is a powerful method for elucidating important physiological and pathological processes, identifying cell subpopulations, and constructing epigenetic regulatory networks. Existing methylome analyses typically require substantial starting materials, complex operations, and high cost and are susceptible to contamination. These problems have impeded the development of single-cell methylome technology for rare cell profiling. In this work, we report Digital Microfluidics-based single-cell Reduced Representation Bisulfite Sequencing (Digital-scRRBS), the first microfluidics-based single-cell methylome library construction platform, which is an automatic, efficient, reproducible, and reagent-economy approach to dissect the single-cell methylome. Taking advantage of our uniquely designed digital microfluidic chip, we realized efficient single-cell isolation in less than 15 seconds. Furthermore, with the advantages of a confined environment, superhydrophobic surface, and nano-scale reaction volume of our digital microfluidic chip, more amplifiable DNA is retained for library construction compared to other approaches. We have successfully constructed single-cell methylation sequencing libraries with a unique genome mapping rate of up to 53.6%, covering up to 2.26 million CpG sites. The application of Digital-scRRBS allows us to discriminate cell identity and dynamically monitor DNA methylation levels during drug administration. Digital-scRRBS provides the technology for widespread application of single-cell methylation methods as a versatile tool for epigenetic analysis in rare cells and highly heterogeneous populations.
2022-09-29 | GSE214106 | GEO