Literature DB >> 29681386

Research Techniques Made Simple: Single-Cell RNA Sequencing and its Applications in Dermatology.

Xiaojun Wu1, Bin Yang2, Imo Udo-Inyang1, Suyun Ji2, David Ozog1, Li Zhou3, Qing-Sheng Mi4.   

Abstract

RNA sequencing is one of the most highly reliable and reproducible methods of assessing the cell transcriptome. As high-throughput RNA sequencing libraries at the single cell level have recently developed, single cell RNA sequencing has become more feasible and popular in biology research. Single cell RNA sequencing allows investigators to evaluate cell transcriptional profiles at the single cell level. It has become a very useful tool to perform investigations that could not be addressed by other methodologies, such as the assessment of cell-to-cell variation, the identification of rare populations, and the determination of heterogeneity within a cell population. So far, the single cell RNA sequencing technique has been widely applied to embryonic development, immune cell development, and human disease progress and treatment. Here, we describe the history of single cell technology development and its potential application in the field of dermatology.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  scRNA; single cell RNA

Mesh:

Year:  2018        PMID: 29681386      PMCID: PMC6363595          DOI: 10.1016/j.jid.2018.01.026

Source DB:  PubMed          Journal:  J Invest Dermatol        ISSN: 0022-202X            Impact factor:   8.551


  17 in total

1.  Next-generation sequencing: methodology and application.

Authors:  Ayman Grada; Kate Weinbrecht
Journal:  J Invest Dermatol       Date:  2013-08       Impact factor: 8.551

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.  CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.

Authors:  Tamar Hashimshony; Florian Wagner; Noa Sher; Itai Yanai
Journal:  Cell Rep       Date:  2012-08-30       Impact factor: 9.423

5.  Innate-like functions of natural killer T cell subsets result from highly divergent gene programs.

Authors:  Isaac Engel; Grégory Seumois; Lukas Chavez; Daniela Samaniego-Castruita; Brandie White; Ashu Chawla; Dennis Mock; Pandurangan Vijayanand; Mitchell Kronenberg
Journal:  Nat Immunol       Date:  2016-04-18       Impact factor: 25.606

6.  Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.

Authors:  Anoop P Patel; Itay Tirosh; John J Trombetta; Alex K Shalek; Shawn M Gillespie; Hiroaki Wakimoto; Daniel P Cahill; Brian V Nahed; William T Curry; Robert L Martuza; David N Louis; Orit Rozenblatt-Rosen; Mario L Suvà; Aviv Regev; Bradley E Bernstein
Journal:  Science       Date:  2014-06-12       Impact factor: 47.728

7.  Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.

Authors:  Itay Tirosh; Benjamin Izar; Sanjay M Prakadan; Marc H Wadsworth; Daniel Treacy; John J Trombetta; Asaf Rotem; Christopher Rodman; Christine Lian; George Murphy; Mohammad Fallahi-Sichani; Ken Dutton-Regester; Jia-Ren Lin; Ofir Cohen; Parin Shah; Diana Lu; Alex S Genshaft; Travis K Hughes; Carly G K Ziegler; Samuel W Kazer; Aleth Gaillard; Kellie E Kolb; Alexandra-Chloé Villani; Cory M Johannessen; Aleksandr Y Andreev; Eliezer M Van Allen; Monica Bertagnolli; Peter K Sorger; Ryan J Sullivan; Keith T Flaherty; Dennie T Frederick; Judit Jané-Valbuena; Charles H Yoon; Orit Rozenblatt-Rosen; Alex K Shalek; Aviv Regev; Levi A Garraway
Journal:  Science       Date:  2016-04-08       Impact factor: 47.728

8.  mRNA-Seq whole-transcriptome analysis of a single cell.

Authors:  Fuchou Tang; Catalin Barbacioru; Yangzhou Wang; Ellen Nordman; Clarence Lee; Nanlan Xu; Xiaohui Wang; John Bodeau; Brian B Tuch; Asim Siddiqui; Kaiqin Lao; M Azim Surani
Journal:  Nat Methods       Date:  2009-04-06       Impact factor: 28.547

Review 9.  Single-Cell Transcriptomics Bioinformatics and Computational Challenges.

Authors:  Olivier B Poirion; Xun Zhu; Travers Ching; Lana Garmire
Journal:  Front Genet       Date:  2016-09-21       Impact factor: 4.599

10.  Massively parallel digital transcriptional profiling of single cells.

Authors:  Grace X Y Zheng; Jessica M Terry; Phillip Belgrader; Paul Ryvkin; Zachary W Bent; Ryan Wilson; Solongo B Ziraldo; Tobias D Wheeler; Geoff P McDermott; Junjie Zhu; Mark T Gregory; Joe Shuga; Luz Montesclaros; Jason G Underwood; Donald A Masquelier; Stefanie Y Nishimura; Michael Schnall-Levin; Paul W Wyatt; Christopher M Hindson; Rajiv Bharadwaj; Alexander Wong; Kevin D Ness; Lan W Beppu; H Joachim Deeg; Christopher McFarland; Keith R Loeb; William J Valente; Nolan G Ericson; Emily A Stevens; Jerald P Radich; Tarjei S Mikkelsen; Benjamin J Hindson; Jason H Bielas
Journal:  Nat Commun       Date:  2017-01-16       Impact factor: 14.919

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  8 in total

Review 1.  Advances in resolving the heterogeneity and dynamics of keratinocyte differentiation.

Authors:  Gabriella Rice; Panteleimon Rompolas
Journal:  Curr Opin Cell Biol       Date:  2020-10-19       Impact factor: 8.382

2.  Single-cell transcriptome profile of mouse skin undergoing antigen-driven allergic inflammation recapitulates findings in atopic dermatitis skin lesions.

Authors:  Juan Manuel Leyva-Castillo; Liang Sun; Shih-Ying Wu; Shira Rockowitz; Piotr Sliz; Raif S Geha
Journal:  J Allergy Clin Immunol       Date:  2022-03-15       Impact factor: 14.290

Review 3.  Research Techniques Made Simple: Spatial Transcriptomics.

Authors:  Arianna J Piñeiro; Aubrey E Houser; Andrew L Ji
Journal:  J Invest Dermatol       Date:  2022-04       Impact factor: 8.551

Review 4.  Translational Research in Vitiligo.

Authors:  Erica L Katz; John E Harris
Journal:  Front Immunol       Date:  2021-03-02       Impact factor: 7.561

Review 5.  Advances in single-cell sequencing and its application to musculoskeletal system research.

Authors:  Yongxiang Zhang; Jingkai Wang; Chao Yu; Kaishun Xia; Biao Yang; Yuang Zhang; Liwei Ying; Chenggui Wang; Xianpeng Huang; Qixin Chen; Li Shen; Fangcai Li; Chengzhen Liang
Journal:  Cell Prolif       Date:  2021-12-09       Impact factor: 6.831

Review 6.  Single-cell RNA sequencing in oral science: Current awareness and perspectives.

Authors:  Jie Wu; Yumei Ding; Jinyu Wang; Fengyuan Lyu; Qingming Tang; Jiangyuan Song; Zhiqiang Luo; Qian Wan; Xiaoli Lan; Zhi Xu; Lili Chen
Journal:  Cell Prolif       Date:  2022-07-17       Impact factor: 8.755

7.  Histone deacetylase 3 controls lung alveolar macrophage development and homeostasis.

Authors:  Yi Yao; Queping Liu; Indra Adrianto; Xiaojun Wu; James Glassbrook; Namir Khalasawi; Congcong Yin; Qijun Yi; Zheng Dong; Frederic Geissmann; Li Zhou; Qing-Sheng Mi
Journal:  Nat Commun       Date:  2020-07-30       Impact factor: 14.919

Review 8.  Challenges and Opportunities for the Translation of Single-Cell RNA Sequencing Technologies to Dermatology.

Authors:  Alex M Ascensión; Marcos J Araúzo-Bravo; Ander Izeta
Journal:  Life (Basel)       Date:  2022-01-04
  8 in total

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