Literature DB >> 31984954

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells.

Wei Feng1, Andrew Przysinda1, Guang Li2.   

Abstract

Single cell mRNA sequencing has made significant progress in the last several years and has become an important tool in the field of developmental biology. It has been successfully used to identify rare cell populations, discover novel marker genes, and decode spatial and temporal developmental information. The single cell method has also evolved from the microfluidic based Fluidigm C1 technology to the droplet-based solutions in the last two to three years. Here we used the heart as an example to demonstrate how to profile the mouse embryonic tissue cells using the droplet based scRNA-Seq method. In addition, we have integrated two strategies into the workflow to profile multiple samples in a single experiment. Using one of the integrated methods, we have simultaneously profiled more than 9,000 cells from eight heart samples. These methods will be valuable to the developmental biology field by providing a cost-effective way to simultaneously profile single cells from different genetic backgrounds, developmental stages, or anatomical locations.

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Year:  2020        PMID: 31984954      PMCID: PMC7952021          DOI: 10.3791/60647

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  16 in total

Review 1.  Design and Analysis of Single-Cell Sequencing Experiments.

Authors:  Dominic Grün; Alexander van Oudenaarden
Journal:  Cell       Date:  2015-11-05       Impact factor: 41.582

2.  Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.

Authors:  Evan Z Macosko; Anindita Basu; Rahul Satija; James Nemesh; Karthik Shekhar; Melissa Goldman; Itay Tirosh; Allison R Bialas; Nolan Kamitaki; Emily M Martersteck; John J Trombetta; David A Weitz; Joshua R Sanes; Alex K Shalek; Aviv Regev; Steven A McCarroll
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

3.  Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq.

Authors:  Saiful Islam; Una Kjällquist; Annalena Moliner; Pawel Zajac; Jian-Bing Fan; Peter Lönnerberg; Sten Linnarsson
Journal:  Genome Res       Date:  2011-05-04       Impact factor: 9.043

4.  Single cell expression analysis reveals anatomical and cell cycle-dependent transcriptional shifts during heart development.

Authors:  Guang Li; Lei Tian; William Goodyer; Eric J Kort; Jan W Buikema; Adele Xu; Joseph C Wu; Stefan Jovinge; Sean M Wu
Journal:  Development       Date:  2019-06-14       Impact factor: 6.868

5.  Comparative Analysis of Single-Cell RNA Sequencing Methods.

Authors:  Christoph Ziegenhain; Beate Vieth; Swati Parekh; Björn Reinius; Amy Guillaumet-Adkins; Martha Smets; Heinrich Leonhardt; Holger Heyn; Ines Hellmann; Wolfgang Enard
Journal:  Mol Cell       Date:  2017-02-16       Impact factor: 17.970

6.  Single-Cell Resolution of Temporal Gene Expression during Heart Development.

Authors:  Daniel M DeLaughter; Alexander G Bick; Hiroko Wakimoto; David McKean; Joshua M Gorham; Irfan S Kathiriya; John T Hinson; Jason Homsy; Jesse Gray; William Pu; Benoit G Bruneau; J G Seidman; Christine E Seidman
Journal:  Dev Cell       Date:  2016-11-10       Impact factor: 12.270

7.  Imaging individual mRNA molecules using multiple singly labeled probes.

Authors:  Arjun Raj; Patrick van den Bogaard; Scott A Rifkin; Alexander van Oudenaarden; Sanjay Tyagi
Journal:  Nat Methods       Date:  2008-09-21       Impact factor: 28.547

8.  Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics.

Authors:  Marlon Stoeckius; Shiwei Zheng; Brian Houck-Loomis; Stephanie Hao; Bertrand Z Yeung; William M Mauck; Peter Smibert; Rahul Satija
Journal:  Genome Biol       Date:  2018-12-19       Impact factor: 13.583

9.  Molecular recording of mammalian embryogenesis.

Authors:  Michelle M Chan; Zachary D Smith; Stefanie Grosswendt; Helene Kretzmer; Thomas M Norman; Britt Adamson; Marco Jost; Jeffrey J Quinn; Dian Yang; Matthew G Jones; Alex Khodaverdian; Nir Yosef; Alexander Meissner; Jonathan S Weissman
Journal:  Nature       Date:  2019-05-13       Impact factor: 49.962

10.  Single-cell transcriptomics reconstructs fate conversion from fibroblast to cardiomyocyte.

Authors:  Ziqing Liu; Li Wang; Joshua D Welch; Hong Ma; Yang Zhou; Haley Ruth Vaseghi; Shuo Yu; Joseph Blake Wall; Sahar Alimohamadi; Michael Zheng; Chaoying Yin; Weining Shen; Jan F Prins; Jiandong Liu; Li Qian
Journal:  Nature       Date:  2017-10-25       Impact factor: 49.962

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  1 in total

1.  Computational profiling of hiPSC-derived heart organoids reveals chamber defects associated with NKX2-5 deficiency.

Authors:  Wei Feng; Hannah Schriever; Shan Jiang; Abha Bais; Haodi Wu; Dennis Kostka; Guang Li
Journal:  Commun Biol       Date:  2022-04-29
  1 in total

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