Evidence map›Paper›PMID 29077741›Full record

ArticlePLoS neglected tropical diseases2017

RNA-seq transcriptional profiling of Leishmania amazonensis reveals an arginase-dependent gene expression regulation.

Juliana Ide Aoki, Sandra Marcia Muxel, Ricardo Andrade Zampieri, Maria Fernanda Laranjeira-Silva, Karl Erik Müller, Audun Helge Nerland, Lucile Maria Floeter-Winter

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 43 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Juliana Ide AokiDepartment of Physiology, Institute of Bioscience, University of Sao Paulo, Sao Paulo, Brazil.ORCID http://orcid.org/0000-0002-1745-0310
Sandra Marcia MuxelDepartment of Physiology, Institute of Bioscience, University of Sao Paulo, Sao Paulo, Brazil.
Ricardo Andrade ZampieriDepartment of Physiology, Institute of Bioscience, University of Sao Paulo, Sao Paulo, Brazil.
Maria Fernanda Laranjeira-SilvaDepartment of Physiology, Institute of Bioscience, University of Sao Paulo, Sao Paulo, Brazil.
Karl Erik MüllerDepartment of Clinical Science, University of Bergen, Bergen, Norway.
Audun Helge NerlandDepartment of Clinical Science, University of Bergen, Bergen, Norway.
Lucile Maria Floeter-WinterDepartment of Physiology, Institute of Bioscience, University of Sao Paulo, Sao Paulo, Brazil.
Universidade de São Paulo · BRUniversity of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeishmania is a protozoan parasite that alternates its life cycle between the sand-fly vector and the mammalian host. This alternation involves environmental changes and leads the parasite to dynamic modifications in morphology, metabolism, cellular signaling and regulation of gene expression to allow for a rapid adaptation to new conditions. The L-arginine pathway in L. amazonensis is important during the parasite life cycle and interferes in the establishment and maintenance of the infection in mammalian macrophages. Host arginase is an immune-regulatory enzyme that can reduce the production of nitric oxide by activated macrophages, directing the availability of L-arginine to the polyamine pathway, resulting in parasite replication. In this work, we performed transcriptional profiling to identify differentially expressed genes in L. amazonensis wild-type (La-WT) versus L. amazonensis arginase knockout (La-arg-) promastigotes and axenic amastigotes. METHODOLOGY/PRINCIPAL

findingsA total of 8253 transcripts were identified in La-WT and La-arg- promastigotes and axenic amastigotes, about 60% of them codifying hypothetical proteins and 443 novel transcripts, which did not match any previously annotated genes. Our RNA-seq data revealed that 85% of genes were constitutively expressed. The comparison of transcriptome and metabolome data showed lower levels of arginase and higher levels of glutamate-5-kinase in La-WT axenic amastigotes compared to promastigotes. The absence of arginase activity in promastigotes increased the levels of pyrroline 5-carboxylate reductase, but decreased the levels of arginosuccinate synthase, pyrroline 5-carboxylate dehydrogenase, acetylornithine deacetylase and spermidine synthase transcripts levels. These observations can explain previous metabolomic data pointing to the increase of L-arginine, citrulline and L-glutamate and reduction of aspartate, proline, ornithine and putrescine. Altogether, these results indicate that arginase activity is important in Leishmania gene expression modulation during differentiation and adaptation to environmental changes. Here, we confirmed this hypothesis with the identification of differential gene expression of the enzymes involved in biosynthesis of amino acids, arginine and proline metabolism and arginine biosynthesis. CONCLUSIONS/SIGNIFICANCE: All data provided information about the transcriptomic profiling and the expression levels of La-WT and La-arg- promastigotes and axenic amastigotes. These findings revealed the importance of arginase in parasite survival and differentiation, and indicated the existence of a coordinated response in the absence of arginase activity related to arginine and polyamine pathways.

Indexed as

Gene Expression RegulationSequence Analysis, RNAArginaseArginineGene ExpressionGene Expression ProfilingGene Knockout TechniquesLeishmania mexicanaMacrophagesNitric OxidePolyaminesArginaseArginineNitric OxidePolyamines

Identifiers

PMID29077741
PMCPMC5678721
OpenAlexW2766596204

What OpenQuestion holds

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LicenceCC BY
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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.