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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Representative Results
  • Discussion
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

Here, we present a combinatorial approach for classifying neuronal cell types prior to isolation and for the subsequent characterization of single-cell transcriptomes. This protocol optimizes the preparation of samples for successful RNA Sequencing (RNA-Seq) and describes a methodology designed specifically for the enhanced understanding of cellular diversity.

Abstract

The discovery of cell type-specific markers can provide insight into cellular function and the origins of cellular heterogeneity. With a recent push for the improved understanding of neuronal diversity, it is important to identify genes whose expression defines various subpopulations of cells. The retina serves as an excellent model for the study of central nervous system diversity, as it is composed of multiple major cell types. The study of each major class of cells has yielded genetic markers that facilitate the identification of these populations. However, multiple subtypes of cells exist within each of these major retinal cell classes, and few of these subtypes have known genetic markers, although many have been characterized by morphology or function. A knowledge of genetic markers for individual retinal subtypes would allow for the study and mapping of brain targets related to specific visual functions and may also lend insight into the gene networks that maintain cellular diversity. Current avenues used to identify the genetic markers of subtypes possess drawbacks, such as the classification of cell types following sequencing. This presents a challenge for data analysis and requires rigorous validation methods to ensure that clusters contain cells of the same function. We propose a technique for identifying the morphology and functionality of a cell prior to isolation and sequencing, which will allow for the easier identification of subtype-specific markers. This technique may be extended to non-neuronal cell types, as well as to rare populations of cells with minor variations. This protocol yields excellent-quality data, as many of the libraries have provided read depths greater than 20 million reads for single cells. This methodology overcomes many of the hurdles presented by Single-cell RNA-Seq and may be suitable for researchers aiming to profile cell types in a straightforward and highly efficient manner.

Introduction

Neuronal diversity is observed throughout the central nervous system, particularly in the vertebrate retina, a highly specialized tissue consisting of 1 glial and 6 neuronal cell types that arise from one population of retinal progenitor cells1,2,3. Many subtypes of cells can be classified functionally, morphologically, and genetically. The goal of this protocol is to tie the genetic variability of cell types to their identifiable functional and/or morphological characteristics. A number of genes have been identified for the classification of cells, but many subtypes continue....

Protocol

All procedures were approved by the Institutional Animal Care and Use Committee (IACUC) at Northwestern University.

1. Preparation of Solutions for Electrophysiology (4 h)

  1. Make 0.1% DEPC-treated H2O by adding 1 mL of diethyl pyrocarbonate (DEPC) to 999 mL of reverse osmosis-purified H2O. Mix thoroughly and let the mixture incubate for 1 h at room temperature (RT). Then, autoclave the DEPC-mixed H2O for 15 min on a liquid cycle. Let the DEPC-treated .......

Representative Results

Cell types are easily classified following the dye injection

Figure 1 shows an example of a GFP+ RGC before and after fluorescent tracer filling. This cell was identified based on its expression of GFP in the transgenic line (Figure 1A). A tight seal was formed with a fine-tip, pulled-glass electrode onto the soma of this cell. In order to characterize the subtype, the fluorescent dye was injected .......

Discussion

Our protocol demonstrates, through a quick and easy-to-use guide, a method to prepare single cells of identified morphological classes for high-quality sequencing, with little injury to the sample. In the present manuscript, intrinsically photosensitive retinal ganglion cells are morphologically characterized, isolated, and prepared for RNA-Seq. Cellular stresses may occur during retinal handling; for this reason, we replace each piece of tissue after no more than 4 h of use. We can assess the state of the cells by using.......

Acknowledgements

We would like to acknowledge Jennifer Bair and Einat Snir, as well as the University of Iowa Institute for Human Genetics, for their assistance in preparing and handling samples.

....

Materials

NameCompanyCatalog NumberComments
Ames' MediumSigma AldrichA1420-10X1L
Sodium BicarbonateSigma AldrichS8875
K-gluconateSpectrum ChemicalPO178
EGTASigma AldrichE4378
HEPESSigma AldrichH3375
Diethyl pyrocarbonate (DEPC)Sigma AldrichD5758
Alexa Fluor 594 HydrazideInvitrogenA10442
CollagenaseWorthington Biochemical LS005273
HyaluronidaseWorthington Biochemical LS002592
Petri dish (35mm diameter)Thermo Fisher Scientific153066
Ophthalmologic scissorsFine Science Tools15000-00
#5 ForcepsFine Science Tools11252-30
Microplate ShakerFisher Scientific13-687-708
Glass MicropipetteSutterBF120-69-10
Micropipette PullerSutterP-1000 horizontal pipette puller
1mL syringeFisher Scientific14-823-2F
Flexible tubingFisher Scientific14-171
TCL lysis bufferQiagen1031576Lysis Buffer 1
β-mercaptoethanolSigma AldrichM3148
RNase-Free WaterQiagen129112
0.2 ml PCR tubesEppendorf30124359
Ethyl Alcohol, PureSigma AldrichE7023Ethanol
Analog Vortex MixerThermo Fisher Scientific02215365Vortex
Mini CentrifugeThermo Fisher Scientific05-090-100
Agencourt RNAClean XP BeadsBeckman CoulterA63987RNA magnetic beads
MagnaBlot II Magnetic SeparatorPromegaV8351Magnetic stand
1.5 ml MCT Graduated TubesThermo Fisher Scientific05-408-129
Smart-Seq v4 Ultra Low Input RNA KitClontech634888Reagents for Reverse Transcription and PCR Amplification
10X Lysis BufferLysis Buffer 2
5X Ultra Low First-Strand BufferBuffer 1
3' SMART-Seq CDS Primer II APrimer II
SMART-Seq v4 OligonucleotideOligonucleotide
SMARTScribe Rverse TranscriptaseReverse Transcriptase
2X SeqAmp PCR BufferPCR Buffer
PCR Primer II APCR Primer
SeqAmp DNA PolymeraseDNA Polymerase
Mastercycler pro SEppendorf950030020Thermocycler
Agencourt AMPure XP BeadsBeckman CoulterA63881DNA magnetic beads
2100 BioanalyzerAgilent TechnologiesG2939AA
HS Bioanalyzer Chips & ReagentsAgilent Technologies5067-4626
Qubit HS Assay KitThermo Fisher ScientificQ32851For the calculation of sample concentrations
Qubit Assay TubesThermo Fisher ScientificQ32856
Qubit 2.0 FluorometerThermo Fisher ScientificQ32866
Nextera XT DNA Sample Preparation KitIlluminaFC-131-1024Reagents for Tagmentation and Index Coupling
TD BufferBuffer 2
ATMTagmentation Mix
NT BufferTagmentation Neutralizing Buffer
NPMPCR Master Mix
Nextera XT Index KitIlluminaFC-131-1001Indices for Tagmentation
N501White 1
N502White 2
N701Orange 1
N702Orange 2
HiSeq 2500IlluminaSY-401-2501For completing sequencing of samples

References

  1. Austin, C., Cepko, C. L. Specification of Cell Fate in the Vertebrate Retina. Neural Cell Specif. 3, 139-143 (1995).
  2. Masland, R. H. The Neuronal Organization of the Retina. Neuron. 76 (2), 266-280 (2012).
  3. R....

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