↓ Skip to main content

Characterization of the accessible genome in the human malaria parasite Plasmodium falciparum

Overview of attention for article published in Nucleic Acids Research, July 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
48 X users
facebook
2 Facebook pages

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
117 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Characterization of the accessible genome in the human malaria parasite Plasmodium falciparum
Published in
Nucleic Acids Research, July 2018
DOI 10.1093/nar/gky643
Pubmed ID
Authors

José Luis Ruiz, Juan J Tena, Cristina Bancells, Alfred Cortés, José Luis Gómez-Skarmeta, Elena Gómez-Díaz

Abstract

Human malaria is a devastating disease and a major cause of poverty in resource-limited countries. To develop and adapt within hosts Plasmodium falciparum undergoes drastic switches in gene expression. To identify regulatory regions in the parasite genome, we performed genome-wide profiling of chromatin accessibility in two culture-adapted isogenic subclones at four developmental stages during the intraerythrocytic cycle by using the Assay for Transposase-Accessible Chromatin by sequencing (ATAC-seq). Tn5 transposase hypersensitivity sites (THSSs) localize preferentially at transcriptional start sites (TSSs). Chromatin accessibility by ATAC-seq is predictive of active transcription and of the levels of histone marks H3K9ac and H3K4me3. Our assay allows the identification of novel regulatory regions including TSS and enhancer-like elements. We show that the dynamics in the accessible chromatin profile matches temporal transcription during development. Motif analysis of stage-specific ATAC-seq sites predicts the in vivo binding sites and function of multiple ApiAP2 transcription factors. At last, the alternative expression states of some clonally variant genes (CVGs), including eba, phist, var and clag genes, associate with a differential ATAC-seq signal at their promoters. Altogether, this study identifies genome-wide regulatory regions likely to play an essential function in the developmental transitions and in CVG expression in P. falciparum.

X Demographics

X Demographics

The data shown below were collected from the profiles of 48 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 25%
Student > Master 15 13%
Researcher 13 11%
Student > Bachelor 9 8%
Student > Doctoral Student 6 5%
Other 15 13%
Unknown 30 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 36%
Agricultural and Biological Sciences 18 15%
Medicine and Dentistry 6 5%
Immunology and Microbiology 5 4%
Computer Science 2 2%
Other 8 7%
Unknown 36 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 April 2023.
All research outputs
#1,303,697
of 24,796,946 outputs
Outputs from Nucleic Acids Research
#853
of 27,386 outputs
Outputs of similar age
#25,400
of 301,680 outputs
Outputs of similar age from Nucleic Acids Research
#23
of 294 outputs
Altmetric has tracked 24,796,946 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,386 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 301,680 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 294 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.