Evidence map›Paper›PMID 37278738›Full record

ArticleAnalytical chemistry2023

Added Value of Internal Fragments for Top-Down Mass Spectrometry of Intact Monoclonal Antibodies and Antibody-Drug Conjugates.

Benqian Wei, Carter Lantz, Weijing Liu, Rosa Viner, Rachel R Ogorzalek Loo, Iain D G Campuzano, Joseph A Loo

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Top-Down and Middle-Down Mass Spectrometry of Antibodies.Molecular & cellular proteomics : MCP · 2025
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Endogenous monoclonal immunoglobulins analyzed using the EXENT® solution and LC-MS.Journal of mass spectrometry and advances in the clinical lab · 2024
    Article
  14. Article
  15. Top-down proteomics.Nature reviews. Methods primers · 2024
    Article
  16. Article
  17. Article
  18. 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

7 authors at 3 institutions in 1 country.

Benqian WeiDepartment of Chemistry and Biochemistry, University of California─Los Angeles, Los Angeles, California 90095, United States.ORCID 0000-0003-4853-4848
Carter LantzDepartment of Chemistry and Biochemistry, University of California─Los Angeles, Los Angeles, California 90095, United States.
Weijing LiuThermo Fisher Scientific, San Jose, California 95134, United States.ORCID 0000-0003-2322-0500
Rosa VinerThermo Fisher Scientific, San Jose, California 95134, United States.
Rachel R Ogorzalek LooDepartment of Chemistry and Biochemistry, University of California─Los Angeles, Los Angeles, California 90095, United States.ORCID 0000-0002-0580-2833
Iain D G CampuzanoCenter for Research Acceleration and Digital Innovation, Molecular Analytics, Amgen Research, Thousand Oaks, California 91320, United States.ORCID 0000-0003-4310-8540
Joseph A LooDepartment of Chemistry and Biochemistry, University of California─Los Angeles, Los Angeles, California 90095, United States.ORCID 0000-0001-9989-1437
University of California, Los Angeles · USThermo Fisher Scientific (United States) · USAmgen (United States) · US

Funding

UCLA NIGMS T32 Program AssessmentT32GM007185 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TORRES, JORGE · 1985 to 2020
$21.7M
UV Laser for Photodissociation-Mass Spectrometry of Proteins and Protein ComplexesR01GM103479 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LOO, JOSEPH A · 2012 to 2021
$3.2M
Advancing Mass Spectrometry Analyses of Proteins, Assemblies, and ProteoformsR35GM145286 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Joseph A Loo · 2022 to 2026
$1.9M
NIGMS NIH HHS R01 GM103479NIGMS NIH HHS R35 GM145286NIGMS NIH HHS T32 GM007185
6 · The paper itself

Abstract

Monoclonal antibodies (mAbs) and antibody-drug conjugates (ADCs) are two of the most important therapeutic drug classes that require extensive characterization, whereas their large size and structural complexity make them challenging to characterize and demand the use of advanced analytical methods. Top-down mass spectrometry (TD-MS) is an emerging technique that minimizes sample preparation and preserves endogenous post-translational modifications (PTMs); however, TD-MS of large proteins suffers from low fragmentation efficiency, limiting the sequence and structure information that can be obtained. Here, we show that including the assignment of internal fragments in native TD-MS of an intact mAb and an ADC can improve their molecular characterization. For the NIST mAb, internal fragments can access the sequence region constrained by disulfide bonds to increase the TD-MS sequence coverage to over 75%. Important PTM information, including intrachain disulfide connectivity and N-glycosylation sites, can be revealed after including internal fragments. For a heterogeneous lysine-linked ADC, we show that assigning internal fragments improves the identification of drug conjugation sites to achieve a coverage of 58% of all putative conjugation sites. This proof-of-principle study demonstrates the potential value of including internal fragments in native TD-MS of intact mAbs and ADCs, and this analytical strategy can be extended to bottom-up and middle-down MS approaches to achieve even more comprehensive characterization of important therapeutic molecules.

Indexed as

Mass SpectrometryAntibodies, MonoclonalDisulfidesGlycosylationHumansLysineAntibodies, MonoclonalDisulfidesLysine

Identifiers

PMID37278738
PMCPMC10954349
OpenAlexW4379508669

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.