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Evaluating capture sequence performance for single-cell CRISPR activation experiments

Evaluating capture sequence performance for single-cell CRISPR activation experiments
Evaluating capture sequence performance for single-cell CRISPR activation experiments
The combination of single-cell RNA sequencing with CRISPR inhibition/activation provides a high-throughputapproach to simultaneously study the effects of hundreds if not thousands of gene perturbations in a single experiment. One recentdevelopment in CRISPR-based single-cell techniques introduces a feature barcoding technology that allows for the simultaneouscapture of mRNA and guide RNA (gRNA) from the same cell. This is achieved by introducing a capture sequence, whosecomplement 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 gRNAscaffold for CRISPR activation gene perturbation studies. We provide a report on our screening approach along with ourobservations and recommendations for future use.
2161-5063
Choo, Xin Yi
fbedbb3e-1e79-4729-9258-ae909b0425f4
Lim, Yu Ming
e28b53e7-c769-46f4-920e-20cf87621da4
Katwadi, Khairunnisa
ed5b558a-6fcd-4039-8ae8-18752d81b036
Yap, Lynn
6427cc52-284a-4c24-9174-444147635a8e
Tryggvason, Karl
0f60be6a-0f0c-4dbe-8823-baa1971a96b9
Sun, Alfred Xuyang
9bddefc7-a538-4a91-ba82-2451b38c4781
Li, Shang
5dafb579-0e0e-42b2-bbc3-345c1ffc8d81
Handoko, Lusy
503dc681-340a-4aa7-b708-63f0b3c97909
Ouyang, John F.
ce6f93a5-b40f-4add-8d7b-3ae795c1a4cb
Rackham, Owen J. L.
8122eb1f-6e9f-4da5-90e1-ce108ccbbcbf
Choo, Xin Yi
fbedbb3e-1e79-4729-9258-ae909b0425f4
Lim, Yu Ming
e28b53e7-c769-46f4-920e-20cf87621da4
Katwadi, Khairunnisa
ed5b558a-6fcd-4039-8ae8-18752d81b036
Yap, Lynn
6427cc52-284a-4c24-9174-444147635a8e
Tryggvason, Karl
0f60be6a-0f0c-4dbe-8823-baa1971a96b9
Sun, Alfred Xuyang
9bddefc7-a538-4a91-ba82-2451b38c4781
Li, Shang
5dafb579-0e0e-42b2-bbc3-345c1ffc8d81
Handoko, Lusy
503dc681-340a-4aa7-b708-63f0b3c97909
Ouyang, John F.
ce6f93a5-b40f-4add-8d7b-3ae795c1a4cb
Rackham, Owen J. L.
8122eb1f-6e9f-4da5-90e1-ce108ccbbcbf

Choo, Xin Yi, Lim, Yu Ming, Katwadi, Khairunnisa, Yap, Lynn, Tryggvason, Karl, Sun, Alfred Xuyang, Li, Shang, Handoko, Lusy, Ouyang, John F. and Rackham, Owen J. L. (2021) Evaluating capture sequence performance for single-cell CRISPR activation experiments. ACS Synthetic Biology. (doi:10.1021/acssynbio.0c00499).

Record type: Article

Abstract

The combination of single-cell RNA sequencing with CRISPR inhibition/activation provides a high-throughputapproach to simultaneously study the effects of hundreds if not thousands of gene perturbations in a single experiment. One recentdevelopment in CRISPR-based single-cell techniques introduces a feature barcoding technology that allows for the simultaneouscapture of mRNA and guide RNA (gRNA) from the same cell. This is achieved by introducing a capture sequence, whosecomplement 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 gRNAscaffold for CRISPR activation gene perturbation studies. We provide a report on our screening approach along with ourobservations and recommendations for future use.

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choo-et-al-2021-evaluating-capture-sequence-performance-for-single-cell-crispr-activation-experiments (1) - Version of Record
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Published date: 24 February 2021

Identifiers

Local EPrints ID: 501434
URI: http://eprints.soton.ac.uk/id/eprint/501434
ISSN: 2161-5063
PURE UUID: 96b38de3-e755-465a-a462-a90be350ef67
ORCID for Owen J. L. Rackham: ORCID iD orcid.org/0000-0002-4390-0872

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Date deposited: 30 May 2025 17:15
Last modified: 22 Aug 2025 02:30

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Contributors

Author: Xin Yi Choo
Author: Yu Ming Lim
Author: Khairunnisa Katwadi
Author: Lynn Yap
Author: Karl Tryggvason
Author: Alfred Xuyang Sun
Author: Shang Li
Author: Lusy Handoko
Author: John F. Ouyang

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