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Comparative Analysis of Single-Cell RNA Sequencing Platforms and Methods.
Ashton, John M; Rehrauer, Hubert; Myers, Jason; Myers, Jacqueline; Zanche, Michelle; Balys, Malene; Foox, Jonathan; Mason, Chistopher E; Steen, Robert; Kuentzel, Marcy; Aquino, Catharine; Garcia-Reyero, Natàlia; Chittur, Sridar V.
Afiliação
  • Ashton JM; University of Rochester Medical Center, University of Rochester, West Henrietta, New York 14642, USA.
  • Rehrauer H; Functional Genomics Center Zurich, ETH and University of Zurich, CH-8057 Zurich, Switzerland.
  • Myers J; University of Rochester Medical Center, University of Rochester, West Henrietta, New York 14642, USA.
  • Myers J; University of Rochester Medical Center, University of Rochester, West Henrietta, New York 14642, USA.
  • Zanche M; University of Rochester Medical Center, University of Rochester, West Henrietta, New York 14642, USA.
  • Balys M; University of Rochester Medical Center, University of Rochester, West Henrietta, New York 14642, USA.
  • Foox J; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY10065, USA.
  • Mason CE; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY10065, USA.
  • Steen R; Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA.
  • Kuentzel M; Environmental Laboratory, US Army Engineer Research and Development Center, Vicksburg, Mississippi 39180, USA.
  • Aquino C; Functional Genomics Center Zurich, ETH and University of Zurich, CH-8057 Zurich, Switzerland.
  • Garcia-Reyero N; Environmental Laboratory, US Army Engineer Research and Development Center, Vicksburg, Mississippi 39180, USA.
  • Chittur SV; Center for Functional Genomics, University at Albany-SUNY, Rensselaer, New York 12144, USA.
J Biomol Tech ; 32(4)2021 12 15.
Article em En | MEDLINE | ID: mdl-35837267
ABSTRACT
Single-cell RNA sequencing (scRNA-seq) offers great new opportunities for increasing our understanding of complex biological processes. In particular, development of an accurate Human Cell Atlas is largely dependent on the rapidly advancing technologies and molecular chemistries employed in scRNA-seq. These advances have already allowed an increase in throughput for scRNA-seq from 96 to 80,000 cells on a single instrument run by capturing cells within nanoliter droplets. Although this increase in throughput is critical for many experimental questions, a thorough comparison between microfluidic-based, plate-based, and droplet-based technologies or between multiple available platforms utilizing these technologies is largely lacking. Here, we report scRNA-seq data from SUM149PT cells treated with the histone deacetylase inhibitor trichostatin A versus untreated controls across several scRNA-seq platforms (Fluidigm C1, WaferGen iCell8, 10x Genomics Chromium Controller, and Illumina/BioRad ddSEQ). The primary goal of this project was to demonstrate RNA sequencing methods for profiling the ultra-low amounts of RNA present in individual cells, and this report discusses the results of the study, as well as technical challenges and lessons learned and present general guidelines for best practices in sample preparation and analysis.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Análise de Célula Única Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Análise de Célula Única Idioma: En Ano de publicação: 2021 Tipo de documento: Article