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Profiling the bloodstream form and procyclic form cell cycle using single-cell transcriptomics. | LitMetric

Profiling the bloodstream form and procyclic form cell cycle using single-cell transcriptomics.

Elife

Institute for Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.

Published: May 2023

AI Article Synopsis

  • - African trypanosomes exist in two main forms: bloodstream forms (BSFs) in mammals and procyclic forms in the tsetse fly, which are essential for their life cycle and host colonization.
  • - Researchers used single-cell transcriptomics to analyze the gene expression during the cell cycle of these forms without needing to sort or synchronize the cells first.
  • - The study established a core set of genes that are consistently expressed across both forms and found differences in transcript dynamics, including delays between gene expression and protein levels, leading to new insights that can be explored through an interactive web tool.

Article Abstract

African trypanosomes proliferate as bloodstream forms (BSFs) and procyclic forms in the mammal and tsetse fly midgut, respectively. This allows them to colonise the host environment upon infection and ensure life cycle progression. Yet, understanding of the mechanisms that regulate and drive the cell replication cycle of these forms is limited. Using single-cell transcriptomics on unsynchronised cell populations, we have obtained high resolution cell cycle regulated (CCR) transcriptomes of both procyclic and slender BSF without prior cell sorting or synchronisation. Additionally, we describe an efficient freeze-thawing protocol that allows single-cell transcriptomic analysis of cryopreserved . Computational reconstruction of the cell cycle using periodic pseudotime inference allowed the dynamic expression patterns of cycling genes to be profiled for both life cycle forms. Comparative analyses identify a core cycling transcriptome highly conserved between forms, as well as several genes where transcript levels dynamics are form specific. Comparing transcript expression patterns with protein abundance revealed that the majority of genes with periodic cycling transcript and protein levels exhibit a relative delay between peak transcript and protein expression. This work reveals novel detail of the CCR transcriptomes of both forms, which are available for further interrogation via an interactive webtool.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212563PMC
http://dx.doi.org/10.7554/eLife.86325DOI Listing

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