Evidence map›Paper›PMID 39726808›Full record

ArticleCell reports. Physical science2024

Sequence-dependent conformational preferences of disordered single-stranded RNA.

Tong Wang, Weiwei He, Suzette A Pabit, Lois Pollack, Serdal Kirmizialtin

Abstract read
In one paragraph

Article in Cell reports. Physical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Perspective - RNA Dynamics Today and Tomorrow.Journal of molecular biology · 2026
    Review
  3. Article
  4. Article
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

5 authors.

Tong WangSchool of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA.
Weiwei HeChemistry Program, Science Division, New York University Abu Dhabi, Abu Dhabi 129188, UAE.
Suzette A PabitSchool of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA.
Lois PollackSchool of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA.
Serdal KirmizialtinChemistry Program, Science Division, New York University Abu Dhabi, Abu Dhabi 129188, UAE.

Funding

Training and OutreachP30GM124166 · NIGMS · CORNELL UNIVERSITY · PI RICHARD A. CERIONE · 2019 to 2026
$28.3M
Nucleic acid interactions with partners: ions and proteinsR35GM122514 · NIGMS · CORNELL UNIVERSITY · PI Lois Pollack · 2017 to 2026
$3.8M
Lab Source for Small/Wide Angle X-ray Scattering ExperimentsS10OD028617 · OD · CORNELL UNIVERSITY · PI POLLACK, LOIS · 2020 to 2020
$549k
NIGMS NIH HHS P30 GM124166NIGMS NIH HHS R35 GM122514NIH HHS S10 OD028617
6 · The paper itself

Abstract

Disordered single-stranded RNA (ssRNA) molecules, like their well-folded counterparts, have crucial functions that depend on their structures. However, since native ssRNAs constitute a highly heterogeneous conformer population, their structural characterization poses challenges. One important question regards the role of sequence in influencing ssRNA structure. Here, we adopt an integrated approach that combines solution-based measurements, including small-angle X-ray scattering (SAXS) and Förster resonance energy transfer (FRET), with experimentally guided all-atom molecular dynamics (MD) simulations, to construct structural ensembles of a 30-nucleotide RNA homopolymer (rU30) and a 30-nucleotide RNA heteropolymer with an A-/C-rich sequence. We compare the size, shape, and flexibility of the two different ssRNAs. While the average properties align with polymer-physics descriptions of flexible polymers, we discern distinct, sequence-dependent conformations at the molecular level that demand a more detailed representation than provided by polymer models. These findings emphasize the role of sequence in shaping the overall properties of ssRNA.

Identifiers

PMID39726808
PMCPMC11671127

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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.