Evidence map›Paper›PMID 26637195›Full record

ArticleBMC genomics2015

An integrative analysis of small molecule transcriptional responses in the human malaria parasite Plasmodium falciparum.

Geoffrey H Siwo, Roger S Smith, Asako Tan, Katrina A Button-Simons, Lisa A Checkley, Michael T Ferdig

Abstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. A Multidimensional Analysis of the Bimodal Piperaquine Response inbioRxiv : the preprint server for biology · 2026
    Article
  2. Single-cell analysis ofbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Bioinformatics and biology insights · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
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

6 authors.

Geoffrey H SiwoEck Institute for Global Health, Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA.
Roger S SmithEck Institute for Global Health, Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA.
Asako TanEck Institute for Global Health, Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA.
Katrina A Button-SimonsEck Institute for Global Health, Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA.
Lisa A CheckleyEck Institute for Global Health, Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA.
Michael T FerdigEck Institute for Global Health, Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA. mferdig@nd.edu.

Funding

Connecting drugs to pathways using malaria parasite transcript profilesR21AI105657 · NIAID · UNIVERSITY OF NOTRE DAME · PI FERDIG, MICHAEL T · 2014 to 2015
$418k
A network-based method for predicting gene interactions in artemisinin resistanceR21AI111286 · NIAID · UNIVERSITY OF NOTRE DAME · PI FERDIG, MICHAEL T · 2015 to 2016
$418k
NIAID NIH HHS AI105657NIAID NIH HHS R21 AI105657NIAID NIH HHS R21 AI111286
6 · The paper itself

Abstract

backgroundTranscriptional responses to small molecules can provide insights into drug mode of action (MOA). The capacity of the human malaria parasite, Plasmodium falciparum, to respond specifically to transcriptional perturbations has been unclear based on past approaches. Here, we present the most extensive profiling to date of the parasite's transcriptional responsiveness to thirty-one chemically and functionally diverse small molecules.

methodsWe exposed two laboratory strains of the human malaria parasite P. falciparum to brief treatments of thirty-one chemically and functionally diverse small molecules associated with biological effects across multiple pathways based on various levels of evidence. We investigated the impact of chemical composition and MOA on gene expression similarities that arise between perturbations by various compounds. To determine the target biological pathways for each small molecule, we developed a novel framework for encoding small molecule effects on a spectra of biological processes or GO functions that are enriched in the differentially expressed genes of a given small molecule perturbation.

resultsWe find that small molecules associated with similar transcriptional responses contain similar chemical features, and/ or have a shared MOA. The approach also revealed complex relationships between drugs and biological pathways that are missed by most exisiting approaches. For example, the approach was able to partition small molecule responses into drug-specific effects versus non-specific effects.

conclusionsOur work provides a new framework for linking transcriptional responses to drug MOA in P. falciparum and can be generalized for the same purpose in other organisms.

Indexed as

Gene Expression ProfilingGene Expression RegulationHumansMalaria, FalciparumOligonucleotide Array Sequence AnalysisPlasmodium falciparumProtozoan ProteinsSmall Molecule LibrariesStructure-Activity RelationshipProtozoan ProteinsSmall Molecule Libraries

Identifiers

PMID26637195
PMCPMC4670519

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.