Fast and highly sensitive full-length single-cell RNA-sequencing using FLASH-seq

Published: 31 May 2022| Version 1 | DOI: 10.17632/bh47n6fnpd.1
Contributors:
Vincent Hahaut,
Simone Picelli

Description

https://www.nature.com/articles/s41587-022-01312-3 Plate-based single-cell RNA-sequencing methods provide high transcriptome coverage and full-length mRNA information but have limited throughput. We present FLASH-seq (FS), a full-length scRNA-seq method with increased sensitivity and reduced hands-on time compared to Smart-Seq3. The entire FS protocol can be performed in ~4.5 hours, is simple to automate and can be easily miniaturized to decrease resource consumption. ​​ In addition, the FS protocol can takes advantage of Unique Molecular Identifiers (UMIs) for molecule counting and display reduced strand-invasion artefacts. We expect FS to become the tool of choice when the characterization of gene expression at high-resolution across multiple cell types and tissues is required. The following folders contain the table of counts and extra files associated with the manuscript "Fast and highly sensitive full-length single-cell RNA-sequencing using FLASH-seq" (10.1038/s41587-022-01312-3). Please contact us if something is missing or if some clarifications is required. Notes: 1. ".rds" files were generated in R v4.1 with "write_rds" (readr, v2.0.0) and can be read with the "read_rds" function (readr). 2. The code associated to these files can be found at: https://github.com/vincenthahaut/FLASH-Seq 3. Tables of counts provided here are not meant to replace the actual raw data that can be found here in NCBI SRA: PRJNA816486. If you want to repeat the analysis we advice you to start from the raw data whenever possible.

Files

Steps to reproduce

https://github.com/vincenthahaut/FLASH-Seq https://www.nature.com/articles/s41587-022-01312-3

Categories

Retina, Blood, Single-Cell RNA Sequencing

License