Journal ArticleDOI
Integrative single-cell analysis
Tim Stuart,Rahul Satija +1 more
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TLDR
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.Abstract:
The recent maturation of single-cell RNA sequencing (scRNA-seq) technologies has coincided with transformative new methods to profile genetic, epigenetic, spatial, proteomic and lineage information in individual cells. This provides unique opportunities, alongside computational challenges, for integrative methods that can jointly learn across multiple types of data. Integrated analysis can discover relationships across cellular modalities, learn a holistic representation of the cell state, and enable the pooling of data sets produced across individuals and technologies. In this Review, we discuss the recent advances in the collection and integration of different data types at single-cell resolution with a focus on the integration of gene expression data with other types of single-cell measurement.read more
Citations
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Journal ArticleDOI
Comprehensive Integration of Single-Cell Data.
Tim Stuart,Andrew Butler,Paul J. Hoffman,Christoph Hafemeister,Efthymia Papalexi,William M. Mauck,Yuhan Hao,Marlon Stoeckius,Peter Smibert,Rahul Satija +9 more
TL;DR: A strategy to "anchor" diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities.
Posted ContentDOI
Comprehensive integration of single cell data
Tim Stuart,Andrew Butler,Paul J. Hoffman,Christoph Hafemeister,Efthymia Papalexi,William M. Mauck,Marlon Stoeckius,Peter Smibert,Rahul Satija +8 more
TL;DR: This work presents a strategy for comprehensive integration of single cell data, including the assembly of harmonized references, and the transfer of information across datasets, and demonstrates how anchoring can harmonize in-situ gene expression and scRNA-seq datasets.
Journal ArticleDOI
Inference and analysis of cell-cell communication using CellChat.
Suoqin Jin,Christian F. Guerrero-Juarez,Lihua Zhang,Ivan Chang,Raul Ramos,Chen-Hsiang Kuan,Peggy Myung,Maksim V. Plikus,Qing Nie +8 more
TL;DR: In this article, a tool called CellChat is developed to quantitatively infer and analyze intercellular communication networks from single-cell RNA-sequencing (scRNA-seq) data.
Posted ContentDOI
Inference and analysis of cell-cell communication using CellChat
Suoqin Jin,Christian F. Guerrero-Juarez,Lihua Zhang,Ivan Chang,Peggy Myung,Maksim V. Plikus,Qing Nie +6 more
TL;DR: A database of interactions among ligands, receptors and their cofactors that accurately represents known heteromeric molecular complexes is constructed and a tool that is able to quantitively infer and analyze intercellular communication networks from single-cell RNA-sequencing (scRNA-seq) data is developed.
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
Itay Tirosh,Benjamin Izar,Daniel J. Treacy,John J. Trombetta,Asaf Rotem,Christopher Rodman,Christine G. Lian,George F. Murphy,Mohammad Fallahi-Sichani,Ken Dutton-Regester,Jia-Ren Lin,Ofir Cohen,Parin Shah,Diana Lu,Alexandra-Chloé Villani,Aleksandr Andreev,E.M. Van Allen,Monica M. Bertagnolli,Peter K. Sorger,Ryan J. Sullivan,Keith T. Flaherty,Dennie T. Frederick,Judit Jané-Valbuena,Orit Rozenblatt-Rosen,Sanjay M. Prakadan,Marc H. Wadsworth,Alex S. Genshaft,Travis K. Hughes,Carly G. K. Ziegler,Samuel W. Kazer,Alethe Gaillard de Saint Germain,Kellie E. Kolb,Cory M. Johannessen,Clifford H. Yoon,Alex K. Shalek,Aviv Regev,Levi A. Garraway +36 more
TL;DR: Tirosh et al. as discussed by the authors applied single-cell RNA sequencing (RNA-seq) to 4645 single cells isolated from 19 patients, profiling malignant, immune, stromal, and endothelial cells.
References
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Journal ArticleDOI
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Journal Article
An integrated encyclopedia of DNA elements in the human genome.
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Journal ArticleDOI
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
Evan Z. Macosko,Evan Z. Macosko,Anindita Basu,Anindita Basu,Rahul Satija,Rahul Satija,James Nemesh,James Nemesh,Karthik Shekhar,Melissa Goldman,Melissa Goldman,Itay Tirosh,Allison R. Bialas,Nolan Kamitaki,Nolan Kamitaki,Emily M. Martersteck,John J. Trombetta,David A. Weitz,Joshua R. Sanes,Alex K. Shalek,Alex K. Shalek,Alex K. Shalek,Aviv Regev,Aviv Regev,Aviv Regev,Steven A. McCarroll,Steven A. McCarroll +26 more
TL;DR: Drop-seq will accelerate biological discovery by enabling routine transcriptional profiling at single-cell resolution by separating them into nanoliter-sized aqueous droplets, associating a different barcode with each cell's RNAs, and sequencing them all together.
Journal ArticleDOI
Massively parallel digital transcriptional profiling of single cells
Grace X.Y. Zheng,Jessica M. Terry,Phillip Belgrader,Paul Ryvkin,Zachary Bent,Ryan Wilson,Solongo B. Ziraldo,Tobias Daniel Wheeler,Geoffrey P. McDermott,Junjie Zhu,Mark T. Gregory,Joe Shuga,Luz Montesclaros,Jason G. Underwood,Donald A. Masquelier,Stefanie Y. Nishimura,Michael Schnall-Levin,Paul Wyatt,Christopher Hindson,Rajiv Bharadwaj,Alexander Wong,Kevin D. Ness,Lan Beppu,H. Joachim Deeg,Christopher McFarland,Keith R. Loeb,Keith R. Loeb,William J. Valente,William J. Valente,Nolan G. Ericson,Emily A. Stevens,Jerald P. Radich,Tarjei S. Mikkelsen,Benjamin J. Hindson,Jason H. Bielas +34 more
TL;DR: A droplet-based system that enables 3′ mRNA counting of tens of thousands of single cells per sample is described and sequence variation in the transcriptome data is used to determine host and donor chimerism at single-cell resolution from bone marrow mononuclear cells isolated from transplant patients.
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