Single-cell sequencing - Wikipedia
Single-cell sequencing examines the nucleic acid sequence information from individual cells with optimized next-generation sequencing technologies, providing a higher resolution of cellular differences and a better understanding of the function of an individual cell in the context of its microenvironment. [1]
Single-cell sequencing techniques from individual to multiomics ...
2020年9月15日 · Here, we review single-cell sequencing techniques for individual and multiomics profiling in single cells. We mainly describe single-cell genomic, epigenomic, and transcriptomic methods,...
Understanding Single-Cell Sequencing, How It Works and Its …
2024年2月26日 · Single-cell sequencing technologies can measure different types of genetic material – the genome, the transcriptome or the methylome – of a single cell. This section explains the main differences in sample preparation (Figure 2) and the most relevant applications of these three sequencing subtypes.
Single‐cell RNA sequencing technologies and applications: A …
Single‐cell RNA sequencing (scRNA‐seq) technology has become the state‐of‐the‐art approach for unravelling the heterogeneity and complexity of RNA transcripts within individual cells, as well as revealing the composition of different cell types and ...
The single-cell sequencing: new developments and medical …
This review introduces the latest advances in single-cell sequencing technologies and their applications in oncology, microbiology, neurology, reproduction, immunology, digestive and urinary systems, highlighting the important role that single-cell sequencing techniques play in …
The single-cell sequencing: new developments and medical …
2019年6月26日 · This review describes recent advances in single-cell sequencing methods and their applications in tumors, microbiology, neurology, reproduction, immunity, digestion, and urinary systems, and clarifies the important role of single-cell sequencing technologies in basic and clinical research.
Single-Cell RNA Sequencing Procedures and Data Analysis
2021年3月20日 · A typical single-cell sequencing workflow involves initial tissue and cell preparation, cell capturing and library preparation, sequencing and raw data processing, as well as visualization and downstream analyses.
Single-Cell Sequencing - an overview | ScienceDirect Topics
Single-cell sequencing (SCS) is a next-generation sequencing method that is mainly used to analyze differences in genetic and protein information between cells, to obtain genetic information on microorganisms that are difficult to cultivate at a single-cell level and to better understand their specific roles in the microenvironment.
The technological landscape and applications of single-cell multi …
2023年6月6日 · Single-cell multi-omics technologies and methods characterize cell states and activities by simultaneously integrating various single-modality omics methods that profile the transcriptome,...
Single cell sequencing: a distinct new field - PMC
2017年2月20日 · The advancement in technologies for single cell isolation, amplification of genome/transcriptome and next-generation sequencing enables SCS to reveal the inherent properties of a single cell from the large scale of the genome, transcriptome or epigenome at …
Single-cell sequencing - Nature Methods
2013年12月30日 · Single-cell sequencing can enable the discovery of clonal mutations, cryptic cell types or transcriptional features that would be diluted or averaged out in bulk tissue.
Single-cell Sequencing in the Field of Stem Cells - PMC
Single-cell sequencing technology refers to the technology of high-throughput sequencing analysis of genomes at the single-cell level. It can effectively analyze cell heterogeneity and identify a small number of cell populations.
Single Cell Sequencing in a Nutshell | The Scientist Magazine®
2023年3月31日 · Scientists often use single cell sequencing to detect genetic variants by analyzing the genome, understand epigenetic variation by sequencing the methylome, or track gene expression differences by investigating the transcriptome of individual cells in a population.
Explore every step of the single-cell sequencing workflow and learn valuable insights to enure experimental success single-cell, single-cell sequencing, single-cell RNA-Seq, droplets, single cell isolation,
How Single-Cell Sequencing Works | Azenta Life Sciences
2021年2月19日 · Uncovering heterogeneity in a sample, single-cell sequencing enables analysis of transcriptomes, epigenomes, and immune repertoires at the resolution of individual cells. Below is a comparison of single-cell sequencing techniques, each designed for a particular application.
Design and Analysis of Single-Cell Sequencing Experiments - Cell …
Single-cell transcriptome sequencing can elucidate the cell type composition of a sample. However, single-cell sequencing comes with major technical challenges and yields complex data output. In this Primer, we provide an overview of available methods and discuss experimental design and single-cell data analysis.
What is single-cell sequencing? - Single Cell Discoveries
2021年3月25日 · Compared to the average gene expression profile obtained with bulk RNA sequencing, single-cell RNA sequencing gives you a high-resolution view of your sample – down to the individual cell. Get the Ultimate Guide to Single Cell Sequencing
What are the benefits of single cell sequencing? - 10x Genomics
2024年10月10日 · Single cell sequencing approaches allow scientists to define cell type–specific gene expression and multiomic readouts, resolving the cellular heterogeneity that drives the expression patterns seen from bulk RNA-seq. Keep reading to explore the value of single cell RNA-sequencing and single cell multiomics, the high-impact science powered by ...
Single-cell sequencing analysis within biologically relevant …
2024年1月9日 · Here, we developed Seqtometry (sequencing-to-measurement), a single-cell analytical strategy based on biologically relevant dimensions enabled by advanced scoring with multiple gene sets (signatures) for examination of gene expression and accessibility across various organ systems.
An update review of the application of single-cell RNA sequencing …
1 天前 · At present, the transcriptional landscape of intricate tissues increasingly relies on single-cell RNA sequencing (scRNA-seq). A few investigations have utilized scRNA-seq technology to examine the codes governing transcriptome regulation in cells at the maternal-fetal interface. In this review, we explore the fundamental principles of scRNA-seq ...
Isolating, Cloning, and Sequencing DNA - Molecular Biology of …
Until the early 1970s DNA was the most difficult cellular molecule for the biochemist to analyze. Enormously long and chemically monotonous, the string of nucleotides that forms the genetic material of an organism could be examined only indirectly, by protein or RNA sequencing or by genetic analysis. Today the situation has changed entirely.
Current best practices in single‐cell RNA‐seq analysis: a tutorial
Here, we detail the steps of a typical single‐cell RNA‐seq analysis, including pre‐processing (quality control, normalization, data correction, feature selection, and dimensionality reduction) and cell‐ and gene‐level downstream analysis. We formulate current best‐practice recommendations for these steps based on independent comparison studies.
Single-Cell, Spatial Omics Technologies Improve Rapidly in 2024 …
2024年12月19日 · Single-cell and spatial omics companies were not alone, as even sequencing firms such as Illumina and Pacific Biosciences had difficulties. Over the first three quarters of 2024, Illumina's sequencing instrument revenues have fallen 37 percent compared to the prior-year period while PacBio's instrument revenues have declined 41 percent over the ...
Integrated Mendelian randomization and single-cell RNA-sequencing …
1 天前 · Hence, in this report, it was the first time for us to integrate single-cell RNA-sequencing (scRNA-Seq), mendelian randomization (MR) analysis with expression quantitative trait loci (eQTL), and protein quantitative trait loci (pQTL) data to find new treatment targets for ED. Disease-causing changes were revealed by MR analysis, and it showed ...
Encompassing view of spatial and single-cell RNA sequencing
5 天之前 · In this study, we generated an integrative high-resolution map of human atherosclerotic plaques combining single-cell RNA sequencing from multiple studies and spatial transcriptomics data from 12 ...
High-Complexity Barcoded Rabies Virus for Scalable Circuit …
2024年10月1日 · Single cell genomics has revolutionized our understanding of neuronal cell types. However, scalable technologies for probing single-cell connectivity are lacking, and we are just beginning to understand how molecularly defined cell types are organized into functional circuits. Here, we describe a pr …
Single-Cell RNA Sequencing, Cell Communication, and Network ...
2024年12月18日 · Moreover, single-cell data from the Gene Expression Omnibus (GSE202642) were used to assess the distribution of Climbing senecio’s bioactive targets within major HCC clusters. ... {Jiang2024SingleCellRS, title={Single-Cell RNA Sequencing, Cell Communication, and Network Pharmacology Reveal the Potential Mechanism of Senecio scandens Buch.-Ham ...
Investigating intra-tumoural heterogeneity and microenvironment ...
Here, we investigated the intratumoural heterogeneity and TME diversity of PCAS using single-cell RNA sequencing (scRNA-seq). Methods: We performed scRNA-seq analysis on tumour samples from four patients with PCAS, supplemented with multicolour immunohistochemistry for identification. We used scRNA-seq data from five normal cardiac tissue ...
Single-cell and bulk transcriptome sequencing identifies two …
2022年6月30日 · Single-cell RNA sequencing (scRNA-seq) characterizes transcriptomes at cellular resolution, enabling identification of cell types and their expression profiles.
Single cell transcriptomics of the cerebral cortex of mice lacking …
4 天之前 · One animal was sequenced per genotype; each were 15-week-old females from the same litter. Single nuclei RNA-seq was chosen rather than the more common single cell RNA-seq because it provides a better representation of cells with long processes such as projection neurons, which often get damaged during sample processing.