| Literature DB >> 34612794 |
Vanika Gupta1,2, Brian P Lazzaro1,2.
Abstract
Gene expression profiles are typically described at the level of the tissue or, often in Drosophila, at the level of the whole organism. Collapsing the gene expression of entire tissues into single measures averages over potentially important heterogeneity among the cells that make up that tissue. The advent of single-cell RNA-sequencing technology (sc-RNAseq) allows transcriptomic evaluation of the individual cells that make up a tissue. However, sc-RNAseq requires a high-quality suspension of viable cells or nuclei, and cell dissociation methods that yield healthy cells and nuclei are still lacking for many important tissues. The insect fat body is a polyfunctional tissue responsible for diverse physiological processes and therefore is an important target for sc-RNAseq. The Drosophila adult fat body consists of fragile cells that are difficult to dissociate while maintaining cell viability. As an alternative, we developed a method to isolate single fat body nuclei for RNA-seq. Our isolation method is largely free of mitochondrial contamination and yields higher capture of transcripts per nucleus compared to other nuclei preparation methods. Our method works well for single-cell nuclei sequencing and can potentially be implemented for bulk RNA-seq.Entities:
Keywords: Fat body; RNAseq; immune response; metabolism; profiling; scSeq; single-cell sequencing; transcriptome
Mesh:
Year: 2022 PMID: 34612794 PMCID: PMC8500699 DOI: 10.1080/19336934.2021.1978776
Source DB: PubMed Journal: Fly (Austin) ISSN: 1933-6934 Impact factor: 2.160
Figure 1.Box plot showing the proportion of mitochondrial reads after three different nuclei preparation protocols. Our optimized protocol yields the lowest proportion of mitochondrial reads
Summary of genes detected in nuclei prepared using three different methods
| Sucrose cushion gradient | Low-speed | Optimized | |
|---|---|---|---|
| Median expressed genes per nucleus | 42 | 73 | 443 |
| Total expressed genes across all nuclei | 6,923 | 9,339 | 10,125 |
Figure 2.Box-overlaid-violin plot showing the number of unique expressed genes detected per nucleus after isolation with three different nuclei preparation protocols. The expressed gene counts were generated from the single-nucleus sequence data analysed using Seurat [10]. Our optimized protocol yielded a higher number of unique expressed genes detected per nucleus