High-throughput gene expression analysis with TempO-LINC sensitively resolves complex brain, lung and kidney...

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Single-cell transcriptomics is crucial for understanding cellular heterogeneity.
• Existing methods often require complex protocols or lack scalability for large cell numbers.

Purpose of the Study:

• To develop and validate TempO-LINC, a novel, high-throughput platform for single-cell and single-nucleus transcriptomic analysis.
• To demonstrate the scalability and performance of TempO-LINC across diverse sample types and species.

Main Methods:

• TempO-LINC utilizes a novel approach involving cell-identifying molecular barcodes added to gene expression probes within fixed cells.
• An instrument-free combinatorial indexing strategy enables reconstruction of single-cell gene expression profiles.
• The assay is designed for high-sensitivity gene detection and can be targeted to specific gene sets or profile the whole transcriptome.

Main Results:

• TempO-LINC successfully profiled transcriptomes from over 90,000 cells across multiple species and tissue types (lung, kidney, brain).
• The platform demonstrated a low multiplet rate (<1.1%) and a cell capture rate of approximately 50%.
• Analysis identified and annotated over 50 unique cell populations, correlating cell type-specific markers.

Conclusions:

• TempO-LINC is a robust, scalable, and high-sensitivity single-cell transcriptomic analysis platform.
• It is well-suited for large-scale applications requiring high data quality and efficient cell population identification.
• The technology facilitates deep insights into cellular heterogeneity across various biological systems.