CellTag Indexing : genetic barcode-based sample multiplexing for single-cell genomics

High-throughput single-cell assays increasingly require special consideration in experimental design, sample multiplexing, batch effect removal, and data interpretation. Here, we describe a lentiviral barcode-based multiplexing approach, CellTag Indexing, which uses predefined genetic barcodes that are heritable, enabling cell populations to be tagged, pooled, and tracked over time in the same experimental replicate. We demonstrate the utility of CellTag Indexing by sequencing transcriptomes using a variety of cell types, including long-term tracking of cell engraftment and differentiation in vivo. Together, this presents CellTag Indexing as a broadly applicable genetic multiplexing tool that is complementary with existing single-cell technologies.

Medienart:

E-Artikel

Erscheinungsjahr:

2019

Erschienen:

2019

Enthalten in:

Zur Gesamtaufnahme - volume:20

Enthalten in:

Genome biology - 20(2019), 1 vom: 09. Mai, Seite 90

Sprache:

Englisch

Beteiligte Personen:

Guo, Chuner [VerfasserIn]
Kong, Wenjun [VerfasserIn]
Kamimoto, Kenji [VerfasserIn]
Rivera-Gonzalez, Guillermo C [VerfasserIn]
Yang, Xue [VerfasserIn]
Kirita, Yuhei [VerfasserIn]
Morris, Samantha A [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Validation Study

Anmerkungen:

Date Completed 30.07.2019

Date Revised 11.10.2023

published: Electronic

Citation Status MEDLINE

doi:

10.1186/s13059-019-1699-y

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM296916439