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Evaluating Capture Sequence Performance for Single-Cell CRISPR Activation Experiments

delete2021-02-24
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PRE
AI
X
Xin Yi Choo
Y
Yu Ming Lim
K
Khairunnisa Katwadi
L
Lynn Yap
K
Karl Tryggvason
A
Alfred Xuyang Sun
S
Shang Li
L
Lusy Handoko
J
John F. Ouyang
O
Owen J. L. Rackham *
DOI:10.1021/acssynbio.0c00499delete
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Abstract

Abstract

En 中文
The combination of single-cell RNA sequencing with CRISPR inhibition/activation provides a high-throughput approach to simultaneously study the effects of hundreds if not thousands of gene perturbations in a single experiment. One recent development in CRISPR-based single-cell techniques introduces a feature barcoding technology that allows for the simultaneous capture of mRNA and guide RNA (gRNA) from the same cell. This is achieved by introducing a capture sequence, whose complement can be incorporated into each gRNA and that can be used to amplify these features prior to sequencing. However, because the technology is in its infancy, there is little information available on how such experimental parameters can be optimized. To overcome this, we varied the capture sequence, capture sequence position, and gRNA backbone to identify an optimal gRNA scaffold for CRISPR activation gene perturbation studies. We provide a report on our screening approach along with our observations and recommendations for future use.
Keywords:
CRISPR activation
hESC
overexpression
transcription factors
single-cell RNA-seq
feature barcoding technology
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Journal

ACS Synthetic Biology cover
ACS Synthetic Biology
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3.9
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3.9K
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a*star - genome institute of singapore (gis)
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national neuroscience institute (nni)
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National University of Singapore
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