Abstract

Human pluripotent stem cells (hPSCs) have significant levels of low-grade genetic mosaicism, which commonly used techniques fail to detect in bulk DNA. These copy number variations remain a hurdle for the clinical translation of hPSC, as their effect in vivo ranges from unknown to dangerous, and the ability to detect them will be necessary as the field advances. As such there is need for techniques which can efficiently analyse genetic content in single cells with higher throughput and lower costs. We report here on the use of the Fluidigm C1 single cell WGA platform in combination with shallow whole genome sequencing to analyse the genetic content of single hPSCs. From a hPSC line carrying an isochromosome 20, 56 single cells were analysed and found to carry a total of 50 aberrations, across 23% of cells, which could not be detected by bulk analysis. Aberrations were predominantly segmental gains, with a fewer number of segmental losses and aneuploidies. Interestingly, 40% of the breakpoints seen here correspond to known DNA fragile sites. Our results therefore demonstrate the feasibility of single cell shallow sequencing of hPSC and further expand upon the biological importance and frequency of single cell mosaicism in hPSC.

Highlights

  • Human pluripotent stem cell cultures are known to readily acquire a significant number or recurrent copy number variations (CNVs) across lines worldwide[1,2]

  • We demonstrate that the combination of shallow whole genome sequencing (sWGS) with whole genome amplification (WGA) via the Fluidigm C116 is a viable platform for the identification of large CNVs at the single cell level

  • Our results demonstrate that combining the Fluidigm C1 platform with sWGS can be www.nature.com/scientificreports used to detect unique mega-base scale aberrations as well as determine with high sensitivity the level at which a given aberration is mosaic within a population of cells

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Summary

Introduction

Human pluripotent stem cell (hPSC) cultures are known to readily acquire a significant number or recurrent copy number variations (CNVs) across lines worldwide[1,2]. Analysis of the genetic content of single cells by aCGH or shallow whole genome sequencing (sWGS) could overcome this shortcoming and allow for the detection of unknown variants within the cell line Identifying these mutations in single cells requires the manual extraction and whole genome amplification (WGA) of individual cells, which can be both time consuming and cost prohibitive for large cell numbers, limiting the detection of low-level mosaic mutants. Microfluidic devices, such as the Fluidigm C1 single cell WGA platform, could offer an alternative to currently available techniques and can be used in conjunction with sWGS for high throughput single cell analysis. Microfluidic environments can reduce the risk of sample contamination and increase reaction efficiency, making them ideally suited for single cell analysis

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