Evidence map›Paper›PMID 30212465›Full record

ArticlePLoS biology2018

Integrative proteomics and bioinformatic prediction enable a high-confidence apicoplast proteome in malaria parasites.

Michael J Boucher, Sreejoyee Ghosh, Lichao Zhang, Avantika Lal, Se Won Jang, An Ju, Shuying Zhang, Xinzi Wang, Stuart A Ralph, James Zou and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
11.9field-weighted citation impact, top 1% 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

66 citing papers in PubMed, 123 citations in OpenAlex.

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6 more citing papers are in PubMed but not listed here.

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

12 authors at 3 institutions in 2 countries.

Michael J BoucherDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0001-5725-7219
Sreejoyee GhoshDepartment of Biochemistry, Stanford University School of Medicine, Stanford, California, United States of America.
Lichao ZhangDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, California, United States of America.
Avantika LalDepartment of Pathology, Stanford University School of Medicine, Stanford, California, United States of America.
Se Won JangDepartment of Computer Science, Stanford University, Stanford, California, United States of America.
An JuDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.
Shuying ZhangDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.
Xinzi WangDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.
Stuart A RalphDepartment of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, Vic, Australia.
James ZouDepartment of Biomedical Data Science, Stanford University School of Medicine, Stanford, California, United States of America.
Joshua E EliasDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, California, United States of America.
Ellen YehDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, United States of America.
Stanford University · USChan Zuckerberg Initiative (United States) · USThe University of Melbourne · AU

Funding

Defining the novel eukaryotic biology of the Apicomplexan plastidDP5OD012119 · OD · STANFORD UNIVERSITY · PI YEH, ELLEN · 2012 to 2016
$2.0M
Deciphering apicoplast function during blood stage Plasmodium infectionK08AI097239 · NIAID · STANFORD UNIVERSITY · PI YEH, ELLEN · 2012 to 2016
$666k
NIAID NIH HHS K08 AI097239NIH HHS DP5 OD012119
6 · The paper itself

Abstract

Malaria parasites (Plasmodium spp.) and related apicomplexan pathogens contain a nonphotosynthetic plastid called the apicoplast. Derived from an unusual secondary eukaryote-eukaryote endosymbiosis, the apicoplast is a fascinating organelle whose function and biogenesis rely on a complex amalgamation of bacterial and algal pathways. Because these pathways are distinct from the human host, the apicoplast is an excellent source of novel antimalarial targets. Despite its biomedical importance and evolutionary significance, the absence of a reliable apicoplast proteome has limited most studies to the handful of pathways identified by homology to bacteria or primary chloroplasts, precluding our ability to study the most novel apicoplast pathways. Here, we combine proximity biotinylation-based proteomics (BioID) and a new machine learning algorithm to generate a high-confidence apicoplast proteome consisting of 346 proteins. Critically, the high accuracy of this proteome significantly outperforms previous prediction-based methods and extends beyond other BioID studies of unique parasite compartments. Half of identified proteins have unknown function, and 77% are predicted to be important for normal blood-stage growth. We validate the apicoplast localization of a subset of novel proteins and show that an ATP-binding cassette protein ABCF1 is essential for blood-stage survival and plays a previously unknown role in apicoplast biogenesis. These findings indicate critical organellar functions for newly discovered apicoplast proteins. The apicoplast proteome will be an important resource for elucidating unique pathways derived from secondary endosymbiosis and prioritizing antimalarial drug targets.

Indexed as

AlgorithmsAnimalsApicoplastsComputational BiologyDatabases, ProteinEndoplasmic ReticulumMalariaParasitesPlasmodium falciparumProteomeProteomicsProtozoan ProteinsProteomeProtozoan Proteins

Identifiers

PMID30212465
PMCPMC6155542
OpenAlexW2890458973

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.