Q and A: Using Patch-seq to Profile Single Cells

Abstract

Individual neurons vary widely in terms of their gene expression, morphology, and electrophysiological properties. While many techniques exist to study single-cell variability along one or two of these dimensions, very few techniques can assess all three features for a single cell. We recently developed Patch-seq, which combines whole-cell patch clamp recording with single-cell RNA-sequencing and immunohistochemistry to comprehensively profile the transcriptomic, morphologic, and physiologic features of individual neurons. Patch-seq can be broadly applied to characterize cell types in complex tissues such as the nervous system, and to study the transcriptional signatures underlying the multidimensional phenotypes of single cells.

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Document Details

Document Type
Technical Report
Publication Date
Jul 06, 2017
Accession Number
AD1066815

Entities

People

  • Andreas S Tolias
  • Cathryn R. Cadwell
  • Rickard Sandberg
  • Xiaolong Jiang

Organizations

  • Baylor College of Medicine

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biology
  • Biotechnology
  • Brain
  • Cells
  • Data Sets
  • Electrical Properties
  • Fluorescent Dyes
  • Gene Expression
  • Genetic Structures
  • Genome
  • Health Services
  • Nervous System
  • Resistance
  • Ribonucleic Acids
  • Rna Sequence Analysis
  • Standards
  • Transcriptomics

Fields of Study

  • Biology

Readers

  • Coastal Oceanography
  • Molecular and Cellular Biology
  • Neuroscience