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Structural Characterisation of Non-Deamidated Acidic Variants of Erwinia chrysanthemi L-asparaginase Using Small-Angle X-ray Scattering and Ion-Mobility Mass Spectrometry

Overview of attention for article published in Pharmaceutical Research, June 2015
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
Structural Characterisation of Non-Deamidated Acidic Variants of Erwinia chrysanthemi L-asparaginase Using Small-Angle X-ray Scattering and Ion-Mobility Mass Spectrometry
Published in
Pharmaceutical Research, June 2015
DOI 10.1007/s11095-015-1722-2
Pubmed ID
Authors

David Gervais, Darryl King, Patrick Kanda, Nicholas Foote, Lucy Elliott, Phillip Brown, Natacha O. Lee, Konstantinos Thalassinos, Claire Pizzey, Robert Rambo, Thomas C. Minshull, Mark J. Dickman, Stuart Smith

Abstract

Erwinia chrysanthemi L-asparaginase (ErA) is an enzyme commonly used in the treatment regimen for Acute Lymphoblastic Leukaemia (ALL). Biopharmaceutical products such as ErA must be monitored for modifications such as deamidation, typically using ion-exchange chromatography (IEX). Analysis of clinical-grade ErA using native IEX resolves a number of enzymatically-active, acidic variants that were poorly characterised. ErA IEX variants were isolated and fully characterised using capillary electrophoresis (cIEF), LC-MS and LC-MS/MS of proteolytic digests, and structural techniques including circular dichroism, small-angle X-ray scattering (SAXS) and ion-mobility mass spectrometry (IM-MS). LC-MS, MS/MS and cIEF demonstrated that all ErA isolates consist mainly of enzyme lacking primary-sequence modifications (such as deamidation). Both SAXS and IM-MS revealed a different conformational state in the most prominent acidic IEX peak. However, SAXS data also suggested conformational differences between the main peak and major acidic variant were minor, based on comparisons with crystal structures. IEX data for biopharmaceuticals such as ErA should be thoroughly characterised, as the most common modifications, such as deamidation, may be absent.

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Belgium 1 5%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 26%
Student > Ph. D. Student 4 21%
Other 2 11%
Student > Master 2 11%
Professor 1 5%
Other 2 11%
Unknown 3 16%
Readers by discipline Count As %
Chemistry 4 21%
Biochemistry, Genetics and Molecular Biology 4 21%
Business, Management and Accounting 1 5%
Agricultural and Biological Sciences 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 4 21%
Unknown 4 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 December 2015.
All research outputs
#7,157,498
of 22,834,308 outputs
Outputs from Pharmaceutical Research
#987
of 2,857 outputs
Outputs of similar age
#85,750
of 267,041 outputs
Outputs of similar age from Pharmaceutical Research
#11
of 23 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,857 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,041 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.