Evidence map›Paper›PMID 35678360›Full record

ArticleJournal of mass spectrometry : JMS2022

Normalization techniques for high-throughput screening by infrared matrix-assisted laser desorption electrospray ionization mass spectrometry.

Kevan T Knizner, Michael C Bagley, Fan Pu, Nathaniel L Elsen, Jon D Williams, David C Muddiman

Open access · hybridAbstract read
In one paragraph

Article in Journal of mass spectrometry : JMS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 2 institutions in 1 country.

Kevan T KniznerFTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0002-8846-3135
Michael C BagleyFTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, North Carolina, USA.
Fan PuDrug Discovery Science and Technology, AbbVie Inc., North Chicago, Illinois, USA.
Nathaniel L ElsenDrug Discovery Science and Technology, AbbVie Inc., North Chicago, Illinois, USA.ORCID https://orcid.org/0000-0003-1192-7242
Jon D WilliamsDrug Discovery Science and Technology, AbbVie Inc., North Chicago, Illinois, USA.ORCID https://orcid.org/0000-0001-9873-4165
David C MuddimanFTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0003-2216-499X
AbbVie (United States) · USNorth Carolina State University · US

Funding

Development and Application of New Ionization Methods for Biological Mass SpectrometryR01GM087964 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MUDDIMAN, DAVID C. · 2010 to 2025
$4.7M
AbbVie NoneNIGMS NIH HHS R01 GM087964NIH HHS R01GM087964
6 · The paper itself

Abstract

Mass spectrometry (MS) is an effective analytical tool for high-throughput screening (HTS) in the drug discovery field. Infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) MS is a high-throughput platform that has achieved analysis times of sub-seconds-per-sample. Due to the high-throughput analysis speed, methods are needed to increase the analyte signal while decreasing the variability in IR-MALDESI-MS analyses to improve data quality and reduce false-positive hits. The Z-factor is used as a statistic of assay quality that can be improved by reducing the variation of target ion abundances or increasing signal. Herein we report optimal solvent compositions for increasing measured analyte abundances with direct analysis by IR-MALDESI-MS. We also evaluate normalization strategies, such as adding a normalization standard that is similar or dissimilar in structure to the model target drug, to reduce the variability of measured analyte abundances with direct analyses by IR-MALDESI-MS in both positive and negative ionization modes.

Indexed as

High-Throughput Screening AssaysSpectrometry, Mass, Electrospray IonizationDrug DiscoveryLasersSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionizationhigh-throughput screeningIR-MALDESInormalizationOrbitrap mass spectrometer

Identifiers

PMID35678360
PMCPMC9287052
OpenAlexW4281729467

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.