Evidence map›Paper›PMID 29927110›Full record

ArticleCurrent protocols in nucleic acid chemistry2018

Recording and Analyzing Nucleic Acid Distance Distributions with X-Ray Scattering Interferometry (XSI).

Thomas Zettl, Rhiju Das, Pehr A B Harbury, Daniel Herschlag, Jan Lipfert, Rebecca S Mathew, Xuesong Shi

Abstract read
In one paragraph

Article in Current protocols in nucleic acid chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Recent advances in RNA structurome.Science China. Life sciences · 2022
    Review
  5. Site-specific covalent labeling of large RNAs with nanoparticles empowered by expanded genetic alphabet transcription.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  6. 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

7 authors at 3 institutions in 2 countries.

Thomas ZettlDepartment of Physics, Nanosystems Initiative Munich, and Center for Nanoscience, LMU Munich, Munich, Germany.
Rhiju DasDepartment of Biochemistry, Stanford University, Stanford, California.
Pehr A B HarburyDepartment of Biochemistry, Stanford University, Stanford, California.
Daniel HerschlagDepartment of Biochemistry, Stanford University, Stanford, California.
Jan LipfertDepartment of Physics, Nanosystems Initiative Munich, and Center for Nanoscience, LMU Munich, Munich, Germany.
Rebecca S MathewDepartment of Cell Biology, Harvard Medical School, Harvard University, Boston, Massachusetts.
Xuesong ShiDepartment of Biochemistry, Stanford University, Stanford, California.
Stanford University · USNanosystems Initiative Munich · DEHarvard University · US

Funding

User Training and OutreachP30GM124169 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PAUL David ADAMS, Gregory L Hura · 2017 to 2026
$28.6M
Time-resolved small angle X-ray scatteringP01GM066275 · NIGMS · STANFORD UNIVERSITY · PI HERSCHLAG, DANIEL · 2003 to 2017
$17.8M
Next-generation computational/chemical methods for complex RNA structuresR35GM122579 · NIGMS · STANFORD UNIVERSITY · PI Rhiju Das · 2017 to 2026
$7.2M
NIH Director's Pioneer Award (RMI)DP1OD000429 · OD · STANFORD UNIVERSITY · PI HARBURY, PEHR A · 2005 to 2009
$3.8M
NIGMS NIH HHS P01 GM066275NIGMS NIH HHS P30 GM124169NIGMS NIH HHS R35 GM122579NIH HHS DP1 OD000429
6 · The paper itself

Abstract

Most structural techniques provide averaged information or information about a single predominant conformational state. However, biological macromolecules typically function through series of conformations. Therefore, a complete understanding of macromolecular structures requires knowledge of the ensembles that represent probabilities on a conformational free energy landscape. Here we describe an emerging approach, X-ray scattering interferometry (XSI), a method that provides instantaneous distance distributions for molecules in solution. XSI uses gold nanocrystal labels site-specifically attached to a macromolecule and measures the scattering interference from pairs of heavy metal labels. The recorded signal can directly be transformed into a distance distribution between the two probes. We describe the underlying concepts, present a detailed protocol for preparing samples and recording XSI data, and provide a custom-written graphical user interface to facilitate XSI data analysis. © 2018 by John Wiley & Sons, Inc.

Indexed as

Scattering, RadiationGoldInterferometryNanoparticlesNucleic AcidsProbabilityUser-Computer InterfaceX-RaysGoldNucleic Acidsenergy landscapeensemble determinationgold nanocrystalsmolecular rulersmall angle X-ray scatteringstructure determinationX-ray scattering interferometry

Identifiers

PMID29927110
PMCPMC6082382
OpenAlexW2806020563

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.