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Briggs EM, Marques CA, Oldrieve GR, Hu J, Otto TD, Matthews KR. Profiling the bloodstream form and procyclic form Trypanosoma brucei cell cycle using single-cell transcriptomics. eLife 2023; 12:e86325. [PMID: 37166108 PMCID: PMC10212563 DOI: 10.7554/elife.86325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 05/10/2023] [Indexed: 05/12/2023] Open
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 Trypanosoma brucei without prior cell sorting or synchronisation. Additionally, we describe an efficient freeze-thawing protocol that allows single-cell transcriptomic analysis of cryopreserved T. brucei. 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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Affiliation(s)
- Emma M Briggs
- Institute for Immunology and Infection Research, School of Biological Sciences, University of EdinburghEdinburghUnited Kingdom
- Wellcome Centre for Integrative Parasitology, School of Infection & Immunity, University of GlasgowGlasgowUnited Kingdom
| | - Catarina A Marques
- Wellcome Centre for Integrative Parasitology, School of Infection & Immunity, University of GlasgowGlasgowUnited Kingdom
| | - Guy R Oldrieve
- Institute for Immunology and Infection Research, School of Biological Sciences, University of EdinburghEdinburghUnited Kingdom
| | - Jihua Hu
- Institute for Immunology and Infection Research, School of Biological Sciences, University of EdinburghEdinburghUnited Kingdom
| | - Thomas D Otto
- Wellcome Centre for Integrative Parasitology, School of Infection & Immunity, University of GlasgowGlasgowUnited Kingdom
| | - Keith R Matthews
- Institute for Immunology and Infection Research, School of Biological Sciences, University of EdinburghEdinburghUnited Kingdom
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Shanmugasundram A, Starns D, Böhme U, Amos B, Wilkinson PA, Harb OS, Warrenfeltz S, Kissinger JC, McDowell MA, Roos DS, Crouch K, Jones AR. TriTrypDB: An integrated functional genomics resource for kinetoplastida. PLoS Negl Trop Dis 2023; 17:e0011058. [PMID: 36656904 PMCID: PMC9888696 DOI: 10.1371/journal.pntd.0011058] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 01/31/2023] [Accepted: 12/23/2022] [Indexed: 01/20/2023] Open
Abstract
Parasitic diseases caused by kinetoplastid parasites are a burden to public health throughout tropical and subtropical regions of the world. TriTrypDB (https://tritrypdb.org) is a free online resource for data mining of genomic and functional data from these kinetoplastid parasites and is part of the VEuPathDB Bioinformatics Resource Center (https://veupathdb.org). As of release 59, TriTrypDB hosts 83 kinetoplastid genomes, nine of which, including Trypanosoma brucei brucei TREU927, Trypanosoma cruzi CL Brener and Leishmania major Friedlin, undergo manual curation by integrating information from scientific publications, high-throughput assays and user submitted comments. TriTrypDB also integrates transcriptomic, proteomic, epigenomic, population-level and isolate data, functional information from genome-wide RNAi knock-down and fluorescent tagging, and results from automated bioinformatics analysis pipelines. TriTrypDB offers a user-friendly web interface embedded with a genome browser, search strategy system and bioinformatics tools to support custom in silico experiments that leverage integrated data. A Galaxy workspace enables users to analyze their private data (e.g., RNA-sequencing, variant calling, etc.) and explore their results privately in the context of publicly available information in the database. The recent addition of an annotation platform based on Apollo enables users to provide both functional and structural changes that will appear as 'community annotations' immediately and, pending curatorial review, will be integrated into the official genome annotation.
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Affiliation(s)
- Achchuthan Shanmugasundram
- Department of Biochemistry and Systems Biology, Institute of Integrative, Systems and Molecular Biology, University of Liverpool, Liverpool, United Kingdom
| | - David Starns
- Department of Biochemistry and Systems Biology, Institute of Integrative, Systems and Molecular Biology, University of Liverpool, Liverpool, United Kingdom
| | - Ulrike Böhme
- Department of Biochemistry and Systems Biology, Institute of Integrative, Systems and Molecular Biology, University of Liverpool, Liverpool, United Kingdom
| | - Beatrice Amos
- Department of Biochemistry and Systems Biology, Institute of Integrative, Systems and Molecular Biology, University of Liverpool, Liverpool, United Kingdom
| | - Paul A. Wilkinson
- Department of Biochemistry and Systems Biology, Institute of Integrative, Systems and Molecular Biology, University of Liverpool, Liverpool, United Kingdom
| | - Omar S. Harb
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Susanne Warrenfeltz
- Center for Tropical & Emerging Global Diseases, Department of Genetics, Institute of Bioinformatics, University of Georgia, Athens, Georgia, United States of America
| | - Jessica C. Kissinger
- Center for Tropical & Emerging Global Diseases, Department of Genetics, Institute of Bioinformatics, University of Georgia, Athens, Georgia, United States of America
| | - Mary Ann McDowell
- Department of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America
| | - David S. Roos
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Kathryn Crouch
- School of Infection and Immunity, University of Glasgow, Glasgow, United Kingdom
| | - Andrew R. Jones
- Department of Biochemistry and Systems Biology, Institute of Integrative, Systems and Molecular Biology, University of Liverpool, Liverpool, United Kingdom
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First person – Guy Oldrieve. Biol Open 2022. [DOI: 10.1242/bio.059369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
ABSTRACT
First Person is a series of interviews with the first authors of a selection of papers published in Biology Open, helping early-career researchers promote themselves alongside their papers. Guy Oldrieve is first author on ‘ The genomic basis of host and vector specificity in non-pathogenic trypanosomatids’, published in BiO. He is a PhD student in the lab of Keith Matthews at the Institute for Immunology and Infection Research, in the School of Biological Sciences at the University of Edinburgh, investigating the genetic basis of parasitism, informed by computational and molecular approaches.
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