scispace - formally typeset
Open AccessJournal ArticleDOI

Single-cell RNA-seq: advances and future challenges

TLDR
An overview of the biological questions single-cell RNA-seq has been used to address, the major findings obtained from such studies, and current challenges and expected future developments in this booming field are provided.
Abstract
Phenotypically identical cells can dramatically vary with respect to behavior during their lifespan and this variation is reflected in their molecular composition such as the transcriptomic landscape. Single-cell transcriptomics using next-generation transcript sequencing (RNA-seq) is now emerging as a powerful tool to profile cell-to-cell variability on a genomic scale. Its application has already greatly impacted our conceptual understanding of diverse biological processes with broad implications for both basic and clinical research. Different single-cell RNA-seq protocols have been introduced and are reviewed here—each one with its own strengths and current limitations. We further provide an overview of the biological questions single-cell RNA-seq has been used to address, the major findings obtained from such studies, and current challenges and expected future developments in this booming field.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Comparative Analysis of Single-Cell RNA Sequencing Methods.

TL;DR: Power simulations at different sequencing depths showed that Drop-seq is more cost-efficient for transcriptome quantification of large numbers of cells, while MARS-seq, SCRB- sequencing, and Smart-seq2 are more efficient when analyzing fewer cells.
Journal ArticleDOI

Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing.

TL;DR: Combinatorial cellular indexing, a strategy for multiplex barcoding of thousands of single cells per experiment, was successfully used to investigate the genome-wide chromatin accessibility landscape in each of over 15,000 single cells, avoiding the need for compartmentalization of individual cells.
Journal ArticleDOI

Single-cell RNA sequencing to explore immune cell heterogeneity.

TL;DR: How scRNA-seq can be used to deconvolve immune system heterogeneity by identifying novel distinct immune cell subsets in health and disease, characterizing stochastic heterogeneity within a cell population and building developmental 'trajectories' for immune cells is discussed.
Journal ArticleDOI

Defining cell types and states with single-cell genomics.

TL;DR: These measurements may finally make explicit the metaphor that C.H. Waddington posed nearly 60 years ago to explain cellular plasticity: Cells are residents of a vast "landscape" of possible states, over which they travel during development and in disease.
References
More filters
Journal ArticleDOI

RNA-Seq: a revolutionary tool for transcriptomics

TL;DR: The RNA-Seq approach to transcriptome profiling that uses deep-sequencing technologies provides a far more precise measurement of levels of transcripts and their isoforms than other methods.
Journal ArticleDOI

Sequencing technologies-the next generation

TL;DR: A technical review of template preparation, sequencing and imaging, genome alignment and assembly approaches, and recent advances in current and near-term commercially available NGS instruments is presented.
Book

Manipulating the mouse embryo: A laboratory manual

TL;DR: Here are recorded the tech- niques for preparing, inserting and analysing DNA sequences, for retroviral infection of mice, for production and use of EC and EK cells as vehicles for engineered sequences and for nuclear transplantation - all against a background of the basic procedures required for pro- ducing and handling the em- bryos.
Journal ArticleDOI

miRBase: annotating high confidence microRNAs using deep sequencing data.

TL;DR: An update of the miRBase database is described, including the collation and use of deep sequencing data sets to assign levels of confidence to miR base entries, and a high confidence subset of miR Base entries are provided, based on the pattern of mapped reads.
Journal ArticleDOI

Landscape of transcription in human cells

Sarah Djebali, +87 more
- 06 Sep 2012 - 
TL;DR: Evidence that three-quarters of the human genome is capable of being transcribed is reported, as well as observations about the range and levels of expression, localization, processing fates, regulatory regions and modifications of almost all currently annotated and thousands of previously unannotated RNAs that prompt a redefinition of the concept of a gene.
Related Papers (5)