Evidence map›Paper›PMID 19661910›Full record

ArticleNature2009

Architecture and secondary structure of an entire HIV-1 RNA genome.

Joseph M Watts, Kristen K Dang, Robert J Gorelick, Christopher W Leonard, Julian W Bess, Ronald Swanstrom, Christina L Burch, Kevin M Weeks

Open access · greenAbstract read
In one paragraph

Article in Nature, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 548 papers.

0numbers the graph read from it
0cells of the map it votes in
548citing papers in PubMed
27.8field-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

548 citing papers in PubMed, 835 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Transcription start site heterogeneity controls MDA5 sensing of unspliced HIV-1 RNAs.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. RNA Structure Coordinates Translation Across the Meiotic Program.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Proteomic Characterization of HIV Infection.Advances in experimental medicine and biology · 2026
    Review
  16. High-resolution HIV-1 mNAR genomics and bioinformatics · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Joseph M WattsDepartment of Chemistry, University of North Carolina, Chapel Hill, North Carolina 27599-3290, USA.
Kristen K Dang
Robert J Gorelick
Christopher W Leonard
Julian W Bess
Ronald Swanstrom
Christina L Burch
Kevin M Weeks
University of North Carolina at Chapel Hill · USScience Applications International Corporation (United States) · US

Funding

Structure of the HIV-1 GenomeR01AI068462 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEEKS, KEVIN M · 2006 to 2020
$7.4M
Molecular Biology of Viral Diseases Predoctoral Training GrantT32AI007419 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Mark T Heise, CARY A MOODY · 1993 to 2026
$4.7M
Retroviral Genomic RNA Dimer Structure and FunctionR01GM064803 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEEKS, KEVIN M · 2002 to 2016
$3.7M
Biological properties of HIV-1 V3 evolutionary variantsR37AI044667 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SWANSTROM, RONALD I · 2005 to 2014
$3.4M
BIOLOGICAL PROPERTIES OF HIV1 V3 EVOLUTIONARY VARIANTSR01AI044667 · NIAID · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI SWANSTROM, RONALD I · 1999 to 2002
$800k
Biological Properties of HIV-1 V3 Evolutionary VariantsR56AI044667 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SWANSTROM, RONALD I · 2016 to 2016
$396k
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENCI NIH HHS N01 CO012400NCI NIH HHS N01-CO-12400NIAID NIH HHS AI068462NIAID NIH HHS AI44667NIAID NIH HHS R01 AI044667NIAID NIH HHS R01 AI068462NIAID NIH HHS R37 AI044667NIAID NIH HHS R56 AI044667NIAID NIH HHS T32 AI007419NIAID NIH HHS T32 AI07419NIGMS NIH HHS R01 GM064803
6 · The paper itself

Abstract

Single-stranded RNA viruses encompass broad classes of infectious agents and cause the common cold, cancer, AIDS and other serious health threats. Viral replication is regulated at many levels, including the use of conserved genomic RNA structures. Most potential regulatory elements in viral RNA genomes are uncharacterized. Here we report the structure of an entire HIV-1 genome at single nucleotide resolution using SHAPE, a high-throughput RNA analysis technology. The genome encodes protein structure at two levels. In addition to the correspondence between RNA and protein primary sequences, a correlation exists between high levels of RNA structure and sequences that encode inter-domain loops in HIV proteins. This correlation suggests that RNA structure modulates ribosome elongation to promote native protein folding. Some simple genome elements previously shown to be important, including the ribosomal gag-pol frameshift stem-loop, are components of larger RNA motifs. We also identify organizational principles for unstructured RNA regions, including splice site acceptors and hypervariable regions. These results emphasize that the HIV-1 genome and, potentially, many coding RNAs are punctuated by previously unrecognized regulatory motifs and that extensive RNA structure constitutes an important component of the genetic code.

Indexed as

Nucleic Acid ConformationComputational BiologyGenome, ViralHIV-1HIV Envelope Protein gp120Human Immunodeficiency Virus ProteinsProtein ConformationProtein FoldingProtein Sorting SignalsRNA, ViralHIV Envelope Protein gp120Human Immunodeficiency Virus ProteinsProtein Sorting SignalsRNA, Viral

Identifiers

PMID19661910
PMCPMC2724670
OpenAlexW2032136448

What OpenQuestion holds

Textmetadata
LicenceTDM
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.