posted on 2021-03-08, 20:18authored byFangjia Li, Dehong Hu, Cailin Dieter, Charles Ansong, Lori Sussel, Galya Orr
Single cell RNA sequencing (scRNA-Seq) technologies have greatly
enhanced our understanding of islet cell transcriptomes and have revealed the
existence of β cell heterogeneity. However, comparison of scRNA-Seq datasets
from different groups have highlighted inconsistencies in gene expression patterns,
primarily due to variable detection of lower abundance transcripts.
Furthermore, such analyses are unable to uncover the spatial organization of heterogeneous
gene expression. Here we used fluctuation localization imaging-based
fluorescence in situ hybridization (fliFISH) to quantify transcripts in single cells
in mouse pancreatic islet sections. We compared the expression patterns of Insulin
2 (Ins2) with Mafa and Ucn3– two genes expressed
in β cells as they mature, as well as Rgs4 – a factor with variably
reported expression in the islet. This approach accurately quantified
transcripts across a wide range of expression levels - from single copies to
over hundred copies per cell in one islet. Importantly, fliFISH allowed evaluation
of transcript heterogeneity in the spatial context of an intact islet. These
studies confirm the existence of a high degree of heterogeneous gene expression
levels within the islet and highlight relative and radial expression patterns
that likely reflect distinct β cell maturation states along the radial axis of
the islet.
Funding
This work was supported by the National Institute of Health (NIDDK) – Human Islet Research Network [UC4DK108101].