Evidence map›Paper›PMID 26070627›Full record

ArticleBMC genomics2015

Strand-specific RNA sequencing in Plasmodium falciparum malaria identifies developmentally regulated long non-coding RNA and circular RNA.

Kate M Broadbent, Jill C Broadbent, Ulf Ribacke, Dyann Wirth, John L Rinn, Pardis C Sabeti

Open access · goldAbstract 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 116 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 1 pooled it
5.6field-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

116 citing papers in PubMed, 1 synthesis or guideline pooled it, 191 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Circular RNAs in Immune-Related Diseases.Advances in experimental medicine and biology · 2025
    Review
  11. Roles of circRNAs in viral pathogenesis.Frontiers in cellular and infection microbiology · 2025
    Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Iron transport pathways in the human malaria parasiteFrontiers in cellular and infection microbiology · 2024
    Article
  20. Article

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

6 authors at 3 institutions in 1 country.

Kate M BroadbentDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA. k8broadbent@post.harvard.edu.
Jill C BroadbentFAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts, USA. jbroadbent@vetmed.wsu.edu.
Ulf RibackeDepartment of Immunology and Infectious Diseases, Harvard School of Public Health, Boston, Massachusetts, USA. uribacke@hsph.harvard.edu.
Dyann WirthBroad Institute, Cambridge, Massachusetts, USA. dfwirth@hsph.harvard.edu.
John L RinnDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA. john_rinn@harvard.edu.
Pardis C SabetiDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA. psabeti@oeb.harvard.edu.
Broad Institute · USHarvard University · USCenter for Systems Biology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe human malaria parasite Plasmodium falciparum has a complex and multi-stage life cycle that requires extensive and precise gene regulation to allow invasion and hijacking of host cells, transmission, and immune escape. To date, the regulatory elements orchestrating these critical parasite processes remain largely unknown. Yet it is becoming increasingly clear that long non-coding RNAs (lncRNAs) could represent a missing regulatory layer across a broad range of organisms.

resultsTo investigate the regulatory capacity of lncRNA in P. falciparum, we harvested fifteen samples from two time-courses. Our sample set profiled 56 h of P. falciparum blood stage development. We then developed and validated strand-specific, non-polyA-selected RNA sequencing methods, and pursued the first assembly of P. falciparum strand-specific transcript structures from RNA sequencing data. This approach enabled the annotation of over one thousand lncRNA transcript models and their comprehensive global analysis: coding prediction, periodicity, stage-specificity, correlation, GC content, length, location relative to annotated transcripts, and splicing. We validated the complete splicing structure of three lncRNAs with compelling properties. Non-polyA-selected deep sequencing also enabled the prediction of hundreds of intriguing P. falciparum circular RNAs, six of which we validated experimentally.

conclusionsWe found that a subset of lncRNAs, including all subtelomeric lncRNAs, strongly peaked in expression during invasion. By contrast, antisense transcript levels significantly dropped during invasion. As compared to neighboring mRNAs, the expression of antisense-sense pairs was significantly anti-correlated during blood stage development, indicating transcriptional interference. We also validated that P. falciparum produces circRNAs, which is notable given the lack of RNA interference in the organism, and discovered that a highly expressed, five-exon antisense RNA is poised to regulate P. falciparum gametocyte development 1 (PfGDV1), a gene required for early sexual commitment events.

Indexed as

BloodGene Expression Regulation, DevelopmentalHigh-Throughput Nucleotide SequencingHumansMolecular Sequence AnnotationPlasmodium falciparumRNA, Long NoncodingRNA, ProtozoanRNA SplicingSequence Analysis, RNARNA, Long NoncodingRNA, Protozoan

Identifiers

PMID26070627
PMCPMC4465157
OpenAlexW1873898749

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.