Evidence map›Paper›PMID 25638444›Full record

ReviewTrends in parasitology2015

The past, present, and future of Leishmania genomics and transcriptomics.

Cinzia Cantacessi, Filipe Dantas-Torres, Matthew J Nolan, Domenico Otranto

Abstract readReview
In one paragraph

Review in Trends in parasitology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. CRISPR-Cas13b mediated gene knockdowns in Leishmania infantum.International journal for parasitology. Drugs and drug resistance · 2025
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  12. Mutation Characteristics and Phylogenetic Analysis of FiveAnimals : an open access journal from MDPI · 2022
    Article
  13. Dissection of the macrophage response towards infection by theFrontiers in cellular and infection microbiology · 2022
    Article
  14. Challenges and Tools for In VitroPathogens (Basel, Switzerland) · 2021
    Review
  15. Proteomic Analysis ofPathogens (Basel, Switzerland) · 2021
    Article
  16. Review
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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

4 authors.

Cinzia CantacessiDepartment of Veterinary Medicine, University of Cambridge, Cambridge, UK. Electronic address: cc779@cam.ac.uk.
Filipe Dantas-TorresDepartamento de Imunologia, Centro de Pesquisas Aggeu Magalhães, Fiocruz-PE, Brazil; Dipartimento di Medicina Veterinaria, Università degli Studi di Bari, Bari, Italy.
Matthew J NolanRoyal Veterinary College, University of London, North Mymms, UK.
Domenico OtrantoDipartimento di Medicina Veterinaria, Università degli Studi di Bari, Bari, Italy.

Funding

Wellcome Trust
6 · The paper itself

Abstract

It has been nearly 10 years since the completion of the first entire genome sequence of a Leishmania parasite. Genomic and transcriptomic analyses have advanced our understanding of the biology of Leishmania, and shed new light on the complex interactions occurring within the parasite-host-vector triangle. Here, we review these advances and examine potential avenues for translation of these discoveries into treatment and control programs. In addition, we argue for a strong need to explore how disease in dogs relates to that in humans, and how an improved understanding in line with the 'One Health' concept may open new avenues for the control of these devastating diseases.

Indexed as

AnimalsGene Expression ProfilingGenome, ProtozoanGenomicsHumansLeishmaniaLeishmaniasisTranscriptomebioinformaticsgenomehigh-throughput sequencinghost-parasite interactionsLeishmania infantumleishmaniasesmetazoonosisOne Healthsand flytranscriptome

Identifiers

PMID25638444
PMCPMC4356521

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.