Evidence map›Paper›PMID 32929126›Full record

ArticleScientific reports2020

Evaluation of whole genome amplification and bioinformatic methods for the characterization of Leishmania genomes at a single cell level.

Hideo Imamura, Pieter Monsieurs, Marlene Jara, Mandy Sanders, Ilse Maes, Manu Vanaerschot, Matthew Berriman, James A Cotton, Jean-Claude Dujardin, Malgorzata A Domagalska

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Life in plastic, it's fantastic! HowFrontiers in cellular and infection microbiology · 2023
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Impact of Genetic Diversity and Genome Plasticity ofFrontiers in cellular and infection microbiology · 2022
    Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. 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

10 authors.

Hideo Imamura *Institute of Tropical Medicine Antwerp, Molecular Parasitology Unit, Antwerp, Belgium.
Pieter Monsieurs *Institute of Tropical Medicine Antwerp, Molecular Parasitology Unit, Antwerp, Belgium.
Marlene JaraInstitute of Tropical Medicine Antwerp, Molecular Parasitology Unit, Antwerp, Belgium.
Mandy SandersWellcome Sanger Institute, Hinxton, UK.
Ilse MaesInstitute of Tropical Medicine Antwerp, Molecular Parasitology Unit, Antwerp, Belgium.
Manu VanaerschotInstitute of Tropical Medicine Antwerp, Molecular Parasitology Unit, Antwerp, Belgium.
Matthew BerrimanWellcome Sanger Institute, Hinxton, UK.
James A CottonWellcome Sanger Institute, Hinxton, UK.
Jean-Claude DujardinInstitute of Tropical Medicine Antwerp, Molecular Parasitology Unit, Antwerp, Belgium. jcdujardin@itg.be.
Malgorzata A DomagalskaInstitute of Tropical Medicine Antwerp, Molecular Parasitology Unit, Antwerp, Belgium. mdomagalska@itg.be.

Funding

Wellcome Trust 206194
6 · The paper itself

Abstract

Here, we report a pilot study paving the way for further single cell genomics studies in Leishmania. First, the performances of two commercially available kits for Whole Genome Amplification (WGA), PicoPLEX and RepliG were compared on small amounts of Leishmania donovani DNA, testing their ability to preserve specific genetic variations, including aneuploidy levels and SNPs. We show here that the choice of WGA method should be determined by the planned downstream genetic analysis, PicoPLEX and RepliG performing better for aneuploidy and SNP calling, respectively. This comparison allowed us to evaluate and optimize corresponding bio-informatic methods. As PicoPLEX was shown to be the preferred method for studying single cell aneuploidy, this method was applied in a second step, on single cells of L. braziliensis, which were sorted by fluorescence activated cell sorting (FACS). Even sequencing depth was achieved in 28 single cells, allowing accurate somy estimation. A dominant karyotype with three aneuploid chromosomes was observed in 25 cells, while two different minor karyotypes were observed in the other cells. Our method thus allowed the detection of aneuploidy mosaicism, and provides a solid basis which can be further refined to concur with higher-throughput single cell genomic methods.

Indexed as

Genome, ProtozoanAneuploidyComputational BiologyFlow CytometryKaryotypingLeishmaniaSingle-Cell Analysis

Identifiers

PMID32929126
PMCPMC7490275

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Registered trials

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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.