Evidence map›Paper›PMID 24752720›Full record

ReviewThe AAPS journal2014

Optimized approaches for quantification of drug transporters in tissues and cells by MRM proteomics.

Bhagwat Prasad, Jashvant D Unadkat

Open access · bronzeAbstract readReview
In one paragraph

Review in The AAPS journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 110 citations in OpenAlex.

  1. Abundance of Hepatic Transporters in Caucasians: A Meta-Analysis.Drug metabolism and disposition: the biological fate of chemicals · 2016
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Targeted proteomics for cancer biomarker verification and validation.Cancer biomarkers : section A of Disease markers · 2022
    Review
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Drug Concentration Asymmetry in Tissues and Plasma for Small Molecule-Related Therapeutic Modalities.Drug metabolism and disposition: the biological fate of chemicals · 2019
    Review
  18. Article
  19. Protein expression and function of organic anion transporters in short-term and long-term cultures of Huh7 human hepatoma cells.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2019
    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

2 authors at 1 institution in 1 country.

Bhagwat PrasadDepartment of Pharmaceutics, University of Washington, P.O. Box 357610, Seattle, Washington, 98195, USA, bhagwat@uw.edu.
Jashvant D Unadkat
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug transporter expression in tissues (in vivo) usually differs from that in cell lines used to measure transporter activity (in vitro). Therefore, quantification of transporter expression in tissues and cell lines is important to develop scaling factor for in vitro to in vivo extrapolation (IVIVE) of transporter-mediated drug disposition. Since traditional immunoquantification methods are semiquantitative, targeted proteomics is now emerging as a superior method to quantify proteins, including membrane transporters. This superiority is derived from the selectivity, precision, accuracy, and speed of analysis by liquid chromatography tandem mass spectrometry (LC-MS/MS) in multiple reaction monitoring (MRM) mode. Moreover, LC-MS/MS proteomics has broader applicability because it does not require selective antibodies for individual proteins. There are a number of recent research and review papers that discuss the use of LC-MS/MS for transporter quantification. Here, we have compiled from the literature various elements of MRM proteomics to provide a comprehensive systematic strategy to quantify drug transporters. This review emphasizes practical aspects and challenges in surrogate peptide selection, peptide qualification, peptide synthesis and characterization, membrane protein isolation, protein digestion, sample preparation, LC-MS/MS parameter optimization, method validation, and sample analysis. In particular, bioinformatic tools used in method development and sample analysis are discussed in detail. Various pre-analytical and analytical sources of variability that should be considered during transporter quantification are highlighted. All these steps are illustrated using P-glycoprotein (P-gp) as a case example. Greater use of quantitative transporter proteomics will lead to a better understanding of the role of drug transporters in drug disposition.

Indexed as

Amino Acid SequenceAnimalsBlotting, WesternCellsHumansMembrane Transport ProteinsMolecular Sequence DataPharmaceutical PreparationsProteomicsMembrane Transport ProteinsPharmaceutical Preparations

Identifiers

PMID24752720
PMCPMC4070263
OpenAlexW2023070013

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.