A robust method to isolate Drosophila fat body nuclei for transcriptomic analysis. Issue 1 (1st January 2022)
- Record Type:
- Journal Article
- Title:
- A robust method to isolate Drosophila fat body nuclei for transcriptomic analysis. Issue 1 (1st January 2022)
- Main Title:
- A robust method to isolate Drosophila fat body nuclei for transcriptomic analysis
- Authors:
- Gupta, Vanika
Lazzaro, Brian P. - Abstract:
- 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.
- Is Part Of:
- Fly. Volume 16:Issue 1(2022)
- Journal:
- Fly
- Issue:
- Volume 16:Issue 1(2022)
- Issue Display:
- Volume 16, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 16
- Issue:
- 1
- Issue Sort Value:
- 2022-0016-0001-0000
- Page Start:
- 62
- Page End:
- 67
- Publication Date:
- 2022-01-01
- Subjects:
- Fat body -- single-cell sequencing -- scSeq -- RNAseq -- transcriptome -- profiling -- metabolism -- immune response
Drosophila -- Periodicals
595.77 - Journal URLs:
- http://www.tandfonline.com/toc/kfly20/current ↗
http://landesbioscience.com/journals/fly ↗
http://rzblx1.uni-regensburg.de/ezeit/warpto.phtml?colors=7&jour_id=85222 ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/19336934.2021.1978776 ↗
- Languages:
- English
- ISSNs:
- 1933-6934
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3962.510000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19369.xml