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High-throughput gene expression analysis with TempO-LINC sensitively resolves complex brain, lung and kidney heterogeneity at single-cell resolution.
Eastburn, Dennis J; White, Kevin S; Jayne, Nathan D; Camiolo, Salvatore; Montis, Gioele; Ha, Seungeun; Watson, Kendall G; Yeakley, Joanne M; McComb, Joel; Seligmann, Bruce.
Afiliação
  • Eastburn DJ; BioSpyder Technologies, Inc., Carlsbad, CA.
  • White KS; BioSpyder Technologies, Inc., Carlsbad, CA.
  • Jayne ND; BioSpyder Technologies, Inc., Carlsbad, CA.
  • Camiolo S; BioSpyder Technologies, Inc., Carlsbad, CA.
  • Montis G; BioSpyder Technologies, Inc., Carlsbad, CA.
  • Ha S; BioSpyder Technologies, Inc., Carlsbad, CA.
  • Watson KG; BioSpyder Technologies, Inc., Carlsbad, CA.
  • Yeakley JM; BioSpyder Technologies, Inc., Carlsbad, CA.
  • McComb J; BioSpyder Technologies, Inc., Carlsbad, CA.
  • Seligmann B; BioSpyder Technologies, Inc., Carlsbad, CA.
bioRxiv ; 2024 Aug 06.
Article em En | MEDLINE | ID: mdl-39149288
ABSTRACT
We report the development and performance of a novel genomics platform, TempO-LINC, for conducting high-throughput transcriptomic analysis on single cells and nuclei. TempO-LINC works by adding cell-identifying molecular barcodes onto highly selective and high-sensitivity gene expression probes within fixed cells, without having to first generate cDNA. Using an instrument-free combinatorial-indexing approach, all probes within the same fixed cell receive an identical barcode, enabling the reconstruction of single-cell gene expression profiles across as few as several hundred cells and up to 100,000+ cells per run. The TempO-LINC approach is easily scalable based on the number of barcodes and rounds of barcoding performed; however, for the experiments reported in this study, the assay utilized over 5.3 million unique barcodes. TempO-LINC has a robust protocol for fixing and banking cells and displays high-sensitivity gene detection from multiple diverse sample types. We show that TempO-LINC has an observed multiplet rate of less than 1.1% and a cell capture rate of ~50%. Although the assay can accurately profile the whole transcriptome (19,683 human or 21,400 mouse genes), it can be targeted to measure only actionable/informative genes and molecular pathways of interest - thereby reducing sequencing requirements. In this study, we applied TempO-LINC to profile the transcriptomes of 89,722 cells across multiple sample types, including nuclei from mouse lung, kidney and brain tissues. The data demonstrated the ability to identify and annotate at least 50 unique cell populations and positively correlate expression of cell type-specific molecular markers within them. TempO-LINC is a robust new single-cell technology that is ideal for large-scale applications/studies across thousands of samples with high data quality.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá