scispace - formally typeset
Journal ArticleDOI

Single-cell multimodal omics: the power of many.

Reads0
Chats0
TLDR
Development of single-cell multimodal omics tools is another major step toward understanding the inner workings of biological systems.
Abstract
Advances in single-cell genomics technologies have enabled investigation of the gene regulation programs of multicellular organisms at unprecedented resolution and scale. Development of single-cell multimodal omics tools is another major step toward understanding the inner workings of biological systems.

read more

Citations
More filters

A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response

TL;DR: Insight is provided into how the three sensors of ER homeostasis monitor distinct types of stress and the ability of Perturb-seq to dissect complex cellular responses are highlighted.
Journal ArticleDOI

Integrated spatial genomics reveals global architecture of single nuclei.

TL;DR: In this paper, the authors reported the imaging of 3,660 chromosomal loci in single mouse embryonic stem (ES) cells using DNA seqFISH+, along with 17 chromatin marks and sub-nuclear structures by sequential immunofluorescence and the expression profile of 70 RNAs.
References
More filters
Journal ArticleDOI

Simultaneous epitope and transcriptome measurement in single cells.

TL;DR: In this article, a method called cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) is proposed, in which oligonucleotide-labeled antibodies are used to integrate cellular protein and transcriptome measurements into an efficient, single-cell readout.
Journal ArticleDOI

Spatially resolved, highly multiplexed RNA profiling in single cells

TL;DR: This report reports multiplexed error-robust FISH (MERFISH), a single-molecule imaging method that allows thousands of RNA species to be imaged in single cells by using combinatorial FISH labeling with encoding schemes capable of detecting and/or correcting errors.
Journal ArticleDOI

Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution

TL;DR: Slide-seq provides a scalable method for obtaining spatially resolved gene expression data at resolutions comparable to the sizes of individual cells, and defines the temporal evolution of cell type–specific responses in a mouse model of traumatic brain injury.
Journal ArticleDOI

Integrative single-cell analysis

TL;DR: Diverse approaches for integrative single-cell analysis are discussed, including experimental methods for profiling multiple omics types from the same cells, analytical approaches for extracting additional layers of information directly from scRNA-seq data and computational integration of omics data collected across different cell samples.
Related Papers (5)