Evidence map›Paper›PMID 23402263›Full record

ReviewAccounts of chemical research2013

Probing structure and dynamics of protein assemblies by magic angle spinning NMR spectroscopy.

Si Yan, Christopher L Suiter, Guangjin Hou, Huilan Zhang, Tatyana Polenova

Abstract readReview
In one paragraph

Review in Accounts of chemical research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
  2. Breaking theACS measurement science au · 2026
    Article
  3. Article
  4. Homonuclear Simplified Preservation of Equivalent Pathways Spectroscopy.The journal of physical chemistry letters · 2024
    Article
  5. Article
  6. Great Offset Difference Internuclear Selective Transfer.The journal of physical chemistry letters · 2023
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Bayesian Modeling of Biomolecular Assemblies with Cryo-EM Maps.Frontiers in molecular biosciences · 2017
    Article
  20. Review
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 at 2 institutions in 1 country.

Si YanDepartment of Chemistry and Biochemistry, University of Delaware , Newark, Delaware 19716, United States.
Christopher L Suiter
Guangjin Hou
Huilan Zhang
Tatyana Polenova
University of Delaware · USUniversity of Pittsburgh · US

Funding

X-Ray Core P50GM082251 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SKOWRONSKI, JACEK · 2007 to 2018
$48.1M
COBRE on Membrane Protein Production and CharacterizationP30GM103519 · NIGMS · UNIVERSITY OF DELAWARE · PI LENHOFF, ABRAHAM M · 2012 to 2014
$3.3M
THE ROLE OF MITOCHONDRIAL TRANSPORT PROTEINS IN HEPATOCYTES AND ADIPOCYTESP30RR031160 · NCRR · UNIVERSITY OF DELAWARE · PI POLENOVA, TATYANA · 2010 to 2011
$2.6M
Structure and Dynamics of CAP-GLY: Microtubule Assemblies by Solid-State NMRR01GM085306 · NIGMS · UNIVERSITY OF DELAWARE · PI POLENOVA, TATYANA, WILLIAMS, JOHN CHARLES · 2010 to 2014
$1.4M
NCRR NIH HHS P30 RR031160NCRR NIH HHS P30RR031160NIGMS NIH HHS P30 GM103519NIGMS NIH HHS P30GM103519NIGMS NIH HHS P50 GM082251NIGMS NIH HHS P50GM082251NIGMS NIH HHS R01 GM085306NIGMS NIH HHS R01GM085396
6 · The paper itself

Abstract

In living organisms, biological molecules often organize into multicomponent complexes. Such assemblies consist of various proteins and carry out essential functions, ranging from cell division, transport, and energy transduction to catalysis, signaling, and viral infectivity. To understand the biological functions of these assemblies, in both healthy and disease states, researchers need to study their three-dimensional architecture and molecular dynamics. To date, the large size, the lack of inherent long-range order, and insolubility have made atomic resolution studies of many protein assemblies challenging or impractical using traditional structural biology methods such as X-ray diffraction and solution NMR spectroscopy. In the past 10 years, we have focused our work on the development and application of magic angle spinning solid-state NMR (MAS NMR) methods to characterize large protein assemblies at atomic-level resolution. In this Account, we discuss the rapid progress in the field of MAS NMR spectroscopy, citing work from our laboratory and others on methodological developments that have facilitated the in-depth analysis of biologically important protein assemblies. We emphasize techniques that yield enhanced sensitivity and resolution, such as fast MAS (spinning frequencies of 40 kHz and above) and nonuniform sampling protocols for data acquisition and processing. We also discuss the experiments for gaining distance restraints and for recoupling anisotropic tensorial interactions under fast MAS conditions. We give an overview of sample preparation approaches when working with protein assemblies. Following the overview of contemporary MAS NMR methods, we present case studies into the structure and dynamics of two classes of biological systems under investigation in our laboratory. We will first turn our attention to cytoskeletal microtubule motor proteins including mammalian dynactin and dynein light chain 8. We will then discuss protein assemblies from the HIV-1 retrovirus.

Indexed as

Nuclear Magnetic Resonance, BiomolecularAnimalsCytoskeletonHIV-1Microscopy, Electron, TransmissionProteinsReproducibility of ResultsRetroviridae ProteinsProteinsRetroviridae Proteins

Identifiers

PMID23402263
PMCPMC3748245
OpenAlexW1982912456

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.