Evidence map›Paper›PMID 21718071›Full record

ArticleBiochemistry2011

Structural insights into the pre-amyloid tetramer of β-2-microglobulin from covalent labeling and mass spectrometry.

Vanessa Leah Mendoza, Mario A Barón-Rodríguez, Cristian Blanco, Richard W Vachet

Abstract read
In one paragraph

Article in Biochemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

35 citing papers in PubMed, 52 citations in OpenAlex.

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  14. Acetylation of AβACS chemical neuroscience · 2020
    Article
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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

4 authors at 2 institutions in 2 countries.

Vanessa Leah MendozaDepartment of Chemistry, University of Massachusetts, Amherst, Massachusetts 01003, USA.
Mario A Barón-Rodríguez
Cristian Blanco
Richard W Vachet
Industrial University of Santander · COUniversity of Massachusetts Amherst · US

Funding

CHEMISTRY-BIOLOGY INTERFACE PREDOCTORAL TRAINING GRANTST32GM008515 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI THOMPSON, LYNMARIE K. · 1995 to 2020
$4.3M
Copper-Induced Amyloidosis Studied by Mass SpectrometryR01GM075092 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI VACHET, RICHARD W · 2005 to 2020
$4.0M
NIGMS NIH HHS R01 GM075092NIGMS NIH HHS T32 GM008515
6 · The paper itself

Abstract

The main pathogenic process underlying dialysis-related amyloidosis is the accumulation of β-2-microglobulin (β2m) as amyloid fibrils in the musculoskeletal system, and some evidence suggests that Cu(II) may play a role in β2m amyloid formation. Cu(II)-induced β2m fibril formation is preceded by the formation of discrete, oligomeric intermediates, including dimers, tetramers, and hexamers. In this work, we use selective covalent labeling reactions combined with mass spectrometry to investigate the amino acids responsible for mediating tetramer formation in wild-type β2m. By comparing the labeling patterns of the monomer, dimer, and tetramer, we find evidence that the tetramer interface is formed by the interaction of D strands from one dimer unit and G strands from another dimer unit. These covalent labeling data along with molecular dynamics calculations allow the construction of a tetramer model that indicates how the protein might proceed to form even higher-order oligomers.

Indexed as

AmyloidAnimalsbeta 2-MicroglobulinCattleChickensCopperCrystallography, X-RayHorsesHumansLightProtein MultimerizationProtein PrecursorsScattering, RadiationSpectrometry, Mass, Electrospray IonizationStaining and LabelingTandem Mass SpectrometryAmyloidbeta 2-MicroglobulinCopperProtein Precursors

Identifiers

PMID21718071
PMCPMC3149750
OpenAlexW2084027459

What OpenQuestion holds

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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.