Evidence map›Paper›PMID 39460924›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Analytical Tools for HCP Detection, Identification, and Quantitation.

Faiza Kanwal, Michael Henry, Paula Meleady

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Faiza KanwalNational Institute for Cellular Biotechnology, Dublin City University, Dublin, Ireland.
Michael HenryNational Institute for Cellular Biotechnology, Dublin City University, Dublin, Ireland.
Paula MeleadyNational Institute for Cellular Biotechnology, Dublin City University, Dublin, Ireland. paula.meleady@dcu.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying and quantifying host cell proteins (HCPs) are crucial in developing and manufacturing biopharmaceutical products. ELISA has been used widely for identifying and quantifying HCPs in biopharmaceutical products. Liquid chromatography-mass spectrometry (LC-MS) has recently emerged as an orthogonal tool for HCP analysis, providing comprehensive and quantitative information on individual HCPs. This chapter explores the advancements in LC-MS/MS methodologies for HCP analysis, including sample preparation, data acquisition modes, and data analysis strategies. It also discusses the challenges of HCP identification and quantitation, and recent innovations to overcome these limitations. The application of LC-MS/MS methods in HCP profiling holds significant promise for improving process control and ensuring product safety in biopharmaceutical manufacturing.

Indexed as

Tandem Mass SpectrometryAnimalsBiological ProductsChromatography, LiquidEnzyme-Linked Immunosorbent AssayHumansProteinsProteomicsBiological ProductsProteinsBiopharmaceutical manufacturingData acquisition modesData analysis strategiesHost cell proteinsLC-MS/MSSample preparation

Identifiers

PMID39460924

What OpenQuestion holds

Textmetadata
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.