Evidence map›Paper›PMID 20037583›Full record

ArticleNature biotechnology2010

Transcriptional profiling of growth perturbations of the human malaria parasite Plasmodium falciparum.

Guangan Hu, Ana Cabrera, Maya Kono, Sachel Mok, Balbir K Chaal, Silvia Haase, Klemens Engelberg, Sabna Cheemadan, Tobias Spielmann, Peter R Preiser and 2 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed
16.4field-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

116 citing papers in PubMed, 210 citations in OpenAlex.

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56 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 2 institutions in 2 countries.

Guangan HuDivision of Genetics and Genomics, School of Biological Sciences, Nanyang Technological University, Singapore.
Ana Cabrera
Maya Kono
Sachel Mok
Balbir K Chaal
Silvia Haase
Klemens Engelberg
Sabna Cheemadan
Tobias Spielmann
Peter R Preiser
Tim-W Gilberger
Zbynek Bozdech
Bernhard Nocht Institute for Tropical Medicine · DENanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functions have yet to be defined for the majority of genes of Plasmodium falciparum, the agent responsible for the most serious form of human malaria. Here we report changes in P. falciparum gene expression induced by 20 compounds that inhibit growth of the schizont stage of the intraerythrocytic development cycle. In contrast with previous studies, which reported only minimal changes in response to chemically induced perturbations of P. falciparum growth, we find that approximately 59% of its coding genes display over three-fold changes in expression in response to at least one of the chemicals we tested. We use this compendium for guilt-by-association prediction of protein function using an interaction network constructed from gene co-expression, sequence homology, domain-domain and yeast two-hybrid data. The subcellular localizations of 31 of 42 proteins linked with merozoite invasion is consistent with their role in this process, a key target for malaria control. Our network may facilitate identification of novel antimalarial drugs and vaccines.

Indexed as

Gene Expression ProfilingTranscription, GeneticAlgorithmsAnimalsAntimalarialsGene Expression RegulationGene Regulatory NetworksHumansMalaria, FalciparumMarkov ChainsMerozoitesPlasmodium falciparumProtozoan ProteinsAntimalarialsProtozoan Proteins

Identifiers

PMID20037583
OpenAlexW1978455510

What OpenQuestion holds

Textmetadata
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.