Evidence map›Paper›PMID 25875351›Full record

ArticlemAbs2015

Hydrogen exchange mass spectrometry reveals protein interfaces and distant dynamic coupling effects during the reversible self-association of an IgG1 monoclonal antibody.

Jayant Arora, John M Hickey, Ranajoy Majumdar, Reza Esfandiary, Steven M Bishop, Hardeep S Samra, C Russell Middaugh, David D Weis, David B Volkin

Open access · goldAbstract read
In one paragraph

Article in mAbs, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
  2. Article
  3. Hybrid Mass Spectrometry Applied across the Production of Antibody Biotherapeutics.Journal of the American Society for Mass Spectrometry · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. The Protein Folding Problem: The Role of Theory.Journal of molecular biology · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

9 authors at 1 institution in 1 country.

Jayant Aroraa Department of Pharmaceutical Chemistry; Macromolecule and Vaccine Stabilization Center; University of Kansas ; Lawrence , KS , USA.
John M Hickey
Ranajoy Majumdar
Reza Esfandiary
Steven M Bishop
Hardeep S Samra
C Russell Middaugh
David D Weis
David B Volkin
University of Kansas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a need for new analytical approaches to better characterize the nature of the concentration-dependent, reversible self-association (RSA) of monoclonal antibodies (mAbs) directly, and with high resolution, when these proteins are formulated as highly concentrated solutions. In the work reported here, hydrogen exchange mass spectrometry (HX-MS) was used to define the concentration-dependent RSA interface, and to characterize the effects of association on the backbone dynamics of an IgG1 mAb (mAb-C). Dynamic light scattering, chemical cross-linking, and solution viscosity measurements were used to determine conditions that caused the RSA of mAb-C. A novel HX-MS experimental approach was then applied to directly monitor differences in local flexibility of mAb-C due to RSA at different protein concentrations in deuterated buffers. First, a stable formulation containing lyoprotectants that permitted freeze-drying of mAb-C at both 5 and 60 mg/mL was identified. Upon reconstitution with RSA-promoting deuterated solutions, the low vs. high protein concentration samples displayed different levels of solution viscosity (i.e., approx. 1 to 75 mPa.s). The reconstituted mAb-C samples were then analyzed by HX-MS. Two specific sequences covering complementarity-determining regions CDR2H and CDR2L (in the variable heavy and light chains, respectively) showed significant protection against deuterium uptake (i.e., decreased hydrogen exchange). These results define the major protein-protein interfaces associated with the concentration-dependent RSA of mAb-C. Surprisingly, certain peptide segments in the VH domain, the constant domain (CH2), and the hinge region (CH1-CH2 interface) concomitantly showed significant increases in local flexibility at high vs. low protein concentrations. These results indicate the presence of longer-range, distant dynamic coupling effects within mAb-C occurring upon RSA.

Indexed as

Deuterium Exchange MeasurementMass SpectrometryMolecular Dynamics SimulationAnimalsAntibodies, Monoclonal, Murine-DerivedComplementarity Determining RegionsImmunoglobulin GMiceAntibodies, Monoclonal, Murine-DerivedComplementarity Determining RegionsImmunoglobulin GADCs, antibody-drug conjugatesaggregationBS2G, bis (sulfosuccinimidyl) 2,2,4,4 glutarateBsAbs, bispecific antibodiesCD, circular dichroismCDR, complementarity-determining regionsCH1-CH3, constant domains 1–3 respectively of the heavy chainDLS, dynamic light scatteringFab, antigen binding fragmentFc, crystallizable fragmentflexibilityHC, heavy chainhigh protein concentrationHPLC, high-performance liquid chromatographyHX-MS, hydrogen exchange mass spectrometryhydrogen exchangeIgG1, immunoglobulin G1immunoglobulin G1LC, light chainmAb, monoclonal antibodymass spectrometrymonoclonal antibodyprotein-protein interactionsreversible self-associationRSA, reversible self-associationSC, subcutaneousSEC, size-exclusion chromatographystabilityVH/VL, variable domain of the heavy/light chain

Identifiers

PMID25875351
PMCPMC4622866
OpenAlexW1517079820

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.