Gene expression kinetics in individual plasmodial cells reveal alternative programs of differential regulation during commitment and differentiation

Quantifying 35 transcripts in a single tube: model-based calibration of the GeXP multiplex RT-PCR assay

Background

Quantitative analysis of differential gene expression is of central importance in molecular life sciences. The Gene eXpression Profiling technology (GeXP) relies on multiplex RT-PCR and subsequent capillary electrophoretic separation of the amplification products and allows to quantify the transcripts of at least 35 genes with a single reaction and one dye.

Results

We provide a kinetic model of primer binding and PCR product formation as the rational basis for taking and evaluating calibration curves. The calibration procedure and the model predictions were validated with the help of a purposefully designed data processing workflow supported by easy-to-use Perl scripts for calibration, data evaluation, and quality control. We further demonstrate the robustness and linearity of quantification of individual transcripts at variable relative abundance of other co-amplified transcripts in a complex mixture of RNAs isolated from differentiating Physarum polycephalum plasmodial cells.

Conclusions

We conclude that GeXP analysis is a robust, sensitive, and useful method when the transcripts of tens to few hundred genes are to be precisely quantified in a high number of samples.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12896-021-00689-4.

Regulatory Dynamics of Cell Differentiation Revealed by True Time Series From Multinucleate Single Cells

Dynamics of cell fate decisions are commonly investigated by inferring temporal sequences of gene expression states by assembling snapshots of individual cells where each cell is measured once. Ordering cells according to minimal differences in expression patterns and assuming that differentiation occurs by a sequence of irreversible steps, yields unidirectional, eventually branching Markov chains with a single source node. In an alternative approach, we used multi-nucleate cells to follow gene expression taking true time series. Assembling state machines, each made from single-cell trajectories, gives a network of highly structured Markov chains of states with different source and sink nodes including cycles, revealing essential information on the dynamics of regulatory events. We argue that the obtained networks depict aspects of the Waddington landscape of cell differentiation and characterize them as reachability graphs that provide the basis for the reconstruction of the underlying gene regulatory network.

Disentangling a complex response in cell reprogramming and probing the Waddington landscape by automatic construction of Petri nets

We analyzed the developmental switch to sporulation of a multinucleate Physarum polycephalum plasmodial cell, a complex response to phytochrome photoreceptor activation. Automatic construction of Petri nets representing finite state machines assembled from trajectories of differential gene expression in single cells revealed alternative, genotype-dependent interconnected developmental routes and identified reversible steps, metastable states, commitment points, and subsequent irreversible steps together with molecular signatures associated with cell fate decision and differentiation. Formation of cyclic transits identified by transition invariants in mutants that are locked in a proliferative state is remarkable considering the view that oncogenic alterations may cause the formation of cancer attractors. We conclude that the Petri net approach is useful to probe the Waddington landscape of cellular reprogramming, to disentangle developmental routes for the reconstruction of the gene regulatory network, and to understand how genetic alterations or physiological conditions reshape the landscape eventually creating new basins of attraction. Unraveling the complexity of pathogenesis, disease progression, drug response or the analysis of attractor landscapes in other complex systems of uncertain structure might be additional fields of application.

Transcriptome reprogramming during developmental switching in Physarum polycephalum involves extensive remodeling of intracellular signaling networks

Activation of a phytochrome photoreceptor triggers a program of Physarum polycephalum plasmodial cell differentiation through which a mitotic multinucleate protoplasmic mass synchronously develops into haploid spores formed by meiosis and rearrangement of cellular components. We have performed a transcriptome-wide RNAseq study of cellular reprogramming and developmental switching. RNAseq analysis revealed extensive remodeling of intracellular signaling and regulation in switching the expression of sets of genes encoding transcription factors, kinases, phosphatases, signal transduction proteins, RNA-binding proteins, ubiquitin ligases, regulators of the mitotic and meiotic cell cycle etc. in conjunction with the regulation of genes encoding metabolic enzymes and cytoskeletal proteins. About 15% of the differentially expressed genes shared similarity with members of the evolutionary conserved set of core developmental genes of social amoebae. Differential expression of genes encoding regulators that act at the transcriptional, translational, and post-translational level indicates the establishment of a new state of cellular function and reveals evolutionary deeply conserved molecular changes involved in cellular reprogramming and differentiation in a prototypical eukaryote.