|  Help  |  About  |  Contact Us

HT Experiment :

Experiment Id  GSE150284 Name  CoolMPS for robust sequencing of single-nuclear RNAs captured by droplet-based method
Experiment Type  RNA-Seq Study Type  Baseline
Source  GEO Curation Date  2022-09-01
description  Massively-parallel single-cell and single-nucleus RNA sequencing (scRNA-seq, snRNA-seq) requires extensive sequencing to achieve proper per-cell coverage, making sequencing resources and availability of sequencers critical factors for conducting deep transcriptional profiling. CoolMPS is a novel sequencing-by-synthesis approach relying on nucleotide labeling by re-usable antibodies, but whether it is applicable to scRNA-seq, has not been tested. Here, we use a low-cost and off-the-shelf protocol to chemically convert libraries generated with the widely-used Chromium 10X technology to be sequenceable with CoolMPS. To assess the quality and performance of converted libraries, we generated a snRNA-seq dataset from the hippocampus of young and old mice. Native libraries were sequenced on an Illumina Novaseq and, after conversion, on a DNBSEQ-400RS. CoolMPS-derived results were in very high agreement with the Illumina dataset, and we demonstrate how technical variance between both technologies is significantly lower when compared to biological variance. Indeed, CoolMPS-derived data faithfully replicated key characteristics of the native library dataset, including correct estimation of ambient RNA-contamination, detection of captured cells, cell clustering, spatial marker gene expression, inter- and intra-replicate differences and gene expression changes. In conclusion, our results show that CoolMPS provides a viable alternative to standard sequencing of RNA from droplet-based libraries. Single-nuclei RNA transcriptomes of hippocampus tissue extracted from 2 months (young) and 18 months (old) C57BL/6J male wild-type mice. Libraries were sequenced on an Illumina instrument and, after chemical conversion, on an MGI DNBSEQ-400RS using CoolMPS technology.
  • variables:
  • single cell RNA-seq,
  • age

1 Publications

Trail: HTExperiment

8 Samples

Trail: HTExperiment