A novel single-cell RNA-sequencing approach and its applicability connecting genotype to phenotype in ageing disease

Single cell multi-omics analysis has the potential to yield a comprehensive understanding of the cellular events that underlie the basis of human diseases. The cardinal feature to access this information is the technology used for single-cell isolation, barcoding, and sequencing. Most currently used single-cell RNA-sequencing platforms have limitations in several areas including cell selection, documentation and library chemistry.

In this study, researchers from the University Medical Center Göttingen describe a novel high-throughput, full-length, single-cell RNA-sequencing approach that combines the CellenONE isolation and sorting system with the ICELL8 processing instrument. This method offers substantial improvements in single cell selection, documentation and capturing rate. Moreover, it allows the use of flexible chemistry for library preparations and the analysis of living or fixed cells, whole cells independent of sizing and morphology, as well as of nuclei. The researchers applied this method to dermal fibroblasts derived from six patients with different segmental progeria syndromes and defined phenotype associated pathway signatures with variant associated expression modifiers. These results validate the applicability of our method to highlight genotype-expression relationships for molecular phenotyping of individual cells derived from human patients.

Technical information of state-of-the-art integrated platforms for single-cell RNA-Sequencing

Figure 1

Methods used in each of the platforms for single-cell isolation, barcoding, chemistry and sequencing. (a) the 10× Genomics Chromium (b) the ICELL8 cx Single-Cell system; ICELL8 (c) the CellenONE X1 system, CellenONE and (d) advantages of the combined CellenONE X1 and iCELL8 cx Single-Cell systems, CellenONE-ICELL8.

Shomroni O, Sitte M, Schmidt J, Parbin S, Ludewig F, Yigit G, Zelarayan LC, Streckfuss-Bömeke K, Wollnik B, Salinas G. (2022) A novel single-cell RNA-sequencing approach and its applicability connecting genotype to phenotype in ageing disease. Sci Rep 12(1):4091. [article]

Leave a Reply

Your email address will not be published. Required fields are marked *

*

Time limit is exhausted. Please reload CAPTCHA.