Evidence map›Paper›PMID 25564856›Full record

ArticleBiophysical journal2015

NMR-detected brownian dynamics of αB-crystallin over a wide range of concentrations.

Matthias Roos, Susanne Link, Jochen Balbach, Alexey Krushelnitsky, Kay Saalwächter

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Article in Biophysical journal, 2015. 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
–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

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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.

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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.

Matthias RoosInstitut für Physik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Germany.
Susanne LinkInstitut für Physik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Germany.
Jochen BalbachInstitut für Physik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Germany.
Alexey KrushelnitskyInstitut für Physik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Germany. Electronic address: krushelnitsky@physik.uni-halle.de.
Kay SaalwächterInstitut für Physik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Germany. Electronic address: kay.saalwaechter@physik.uni-halle.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge about the global translational and rotational motion of proteins under crowded conditions is highly relevant for understanding the function of proteins in vivo. This holds in particular for human αB-crystallin, which is strongly crowded in vivo and inter alia responsible for preventing cataracts. Quantitative information on translational and rotational diffusion is not readily available, and we here demonstrate an approach that combines pulsed-field-gradient NMR for translational diffusion and proton T1ρ/T2 relaxation-time measurements for rotational diffusion, thus overcoming obstacles encountered in previous studies. The relaxation times measured at variable temperature provide a quantitative measure of the correlation function of protein tumbling, which cannot be approximated by a single exponential, because two components are needed for a minimal and adequate description of the data. We find that at high protein concentrations, rotational diffusion is decoupled from translational diffusion, the latter following the macroscopic viscosity change almost quantitatively, resembling the behavior of spherical colloids. Analysis of data reported in the literature shows that well-packed globular proteins follow a scaling relation between the hydrodynamic radius and the molar mass, Rh ∼ M(1/d), with a fractal dimension of d ∼ 2.5 rather than 3. Despite its oligomeric nature, Rh of αB-crystallin as derived from both NMR methods is found to be fully consistent with this relation.

Indexed as

alpha-Crystallin B ChainDiffusionHumansNuclear Magnetic Resonance, BiomolecularRotationViscosityalpha-Crystallin B ChainCRYAB protein, human

Identifiers

PMID25564856
PMCPMC4286604

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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.