Evidence map›Paper›PMID 30455861›Full record

ArticleEvoDevo2018

Genome-wide transcriptome profiling and spatial expression analyses identify signals and switches of development in tapeworms.

Peter D Olson, Magdalena Zarowiecki, Katherine James, Andrew Baillie, Georgie Bartl, Phil Burchell, Azita Chellappoo, Francesca Jarero, Li Ying Tan, Nancy Holroyd and 1 more

Open access · goldAbstract read
In one paragraph

Article in EvoDevo, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Combined fluorescentBiology methods & protocols · 2025
    Article
  6. Article
  7. Genome-wide transcriptome analysis ofFrontiers in cellular and infection microbiology · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Cestodes in the genomic era.Parasitology research · 2022
    Review
  13. Article
  14. Article
  15. The Genomes of Two Strains ofFrontiers in cellular and infection microbiology · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Peter D Olson1Division of Parasites and Vectors, Department of Life Sciences, The Natural History Museum, Cromwell Road, London, SW7 5BD UK.
Magdalena Zarowiecki1Division of Parasites and Vectors, Department of Life Sciences, The Natural History Museum, Cromwell Road, London, SW7 5BD UK.
Katherine James1Division of Parasites and Vectors, Department of Life Sciences, The Natural History Museum, Cromwell Road, London, SW7 5BD UK.
Andrew Baillie1Division of Parasites and Vectors, Department of Life Sciences, The Natural History Museum, Cromwell Road, London, SW7 5BD UK.
Georgie Bartl1Division of Parasites and Vectors, Department of Life Sciences, The Natural History Museum, Cromwell Road, London, SW7 5BD UK.
Phil Burchell1Division of Parasites and Vectors, Department of Life Sciences, The Natural History Museum, Cromwell Road, London, SW7 5BD UK.
Azita Chellappoo1Division of Parasites and Vectors, Department of Life Sciences, The Natural History Museum, Cromwell Road, London, SW7 5BD UK.
Francesca Jarero1Division of Parasites and Vectors, Department of Life Sciences, The Natural History Museum, Cromwell Road, London, SW7 5BD UK.
Li Ying Tan1Division of Parasites and Vectors, Department of Life Sciences, The Natural History Museum, Cromwell Road, London, SW7 5BD UK.
Nancy Holroyd2Parasite Genomics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA UK.
Matt Berriman2Parasite Genomics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA UK.
Natural History Museum · GBWellcome Sanger Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BB/G003815/1Wellcome Trust
6 · The paper itself

Abstract

backgroundTapeworms are agents of neglected tropical diseases responsible for significant health problems and economic loss. They also exhibit adaptations to a parasitic lifestyle that confound comparisons of their development with other animals. Identifying the genetic factors regulating their complex ontogeny is essential to understanding unique aspects of their biology and for advancing novel therapeutics. Here we use RNA sequencing to identify up-regulated signalling components, transcription factors and post-transcriptional/translational regulators (genes of interest, GOI) in the transcriptomes of Larvae and different regions of segmented worms in the tapeworm

resultsRNA-seq reads collectively mapped to 90% of the > 12,000 gene models in the

conclusionsSpatial expression analyses in Larvae and adult worms corroborated inferences made from quantitative RNA-seq data and in most cases indicated consistency with canonical roles of the genes in other animals, including free-living flatworms. Recapitulation of developmental factors up-regulated during larval metamorphosis suggests that strobilar growth involves many of the same underlying gene regulatory networks despite the significant disparity in developmental outcomes. The majority of genes identified were investigated in tapeworms for the first time, setting the stage for advancing our understanding of developmental genetics in an important group of flatworm parasites.

Indexed as

Differential gene expressionHymenolepisPost-transcriptional regulatorsRNA-seqSignalling factorsTapewormsTranscription factorsTranscriptomics

Identifiers

PMID30455861
PMCPMC6225667
OpenAlexW2900042192

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.