Evidence map›Paper›PMID 30204418›Full record

ArticleAnalytical chemistry2018

Targeted LC-MS/MS Proteomics-Based Strategy To Characterize in Vitro Models Used in Drug Metabolism and Transport Studies.

Meijuan Xu, Neha Saxena, Marc Vrana, Haeyoung Zhang, Vineet Kumar, Sarah Billington, Cyrus Khojasteh, Scott Heyward, Jashvant D Unadkat, Bhagwat Prasad

Abstract read
In one paragraph

Article in Analytical chemistry, 2018. 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
–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

18 citing papers in PubMed.

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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

10 authors.

Meijuan XuDepartment of Pharmaceutics , University of Washington , Seattle , Washington 98195 , United States.
Neha SaxenaDepartment of Pharmaceutics , University of Washington , Seattle , Washington 98195 , United States.
Marc VranaDepartment of Pharmaceutics , University of Washington , Seattle , Washington 98195 , United States.
Haeyoung ZhangDepartment of Pharmaceutics , University of Washington , Seattle , Washington 98195 , United States.
Vineet KumarDepartment of Pharmaceutics , University of Washington , Seattle , Washington 98195 , United States.
Sarah BillingtonDepartment of Pharmaceutics , University of Washington , Seattle , Washington 98195 , United States.
Cyrus KhojastehDrug Metabolism and Pharmacokinetics Department , Genentech, Inc. , South San Francisco , California 94080 , United States.
Scott HeywardBioIVT , Baltimore , Maryland 21227 , United States.
Jashvant D UnadkatDepartment of Pharmaceutics , University of Washington , Seattle , Washington 98195 , United States.
Bhagwat PrasadDepartment of Pharmaceutics , University of Washington , Seattle , Washington 98195 , United States.ORCID 0000-0002-5599-6699

Funding

PBPK prediction of ontogeny mediated alteration in hepatic drug eliminationR01HD081299 · NICHD · WASHINGTON STATE UNIVERSITY · PI PRASAD, BHAGWAT · 2015 to 2025
$4.6M
NICHD NIH HHS R01 HD081299
6 · The paper itself

Abstract

Subcellular fractionation of tissue homogenate provides enriched in vitro models (e.g., microsomes, cytosol, or membranes), which are routinely used in the drug metabolism or transporter activity and protein abundance studies. However, batch-to-batch or interlaboratory variability in the recovery, enrichment, and purity of the subcellular fractions can affect performance of in vitro models leading to inaccurate in vitro to in vivo extrapolation (IVIVE) of drug clearance. To evaluate the quality of subcellular fractions, we developed a simple, targeted, and sensitive LC-MS/MS proteomics-based strategy, which relies on determination of protein markers of various cellular organelles, i.e., plasma membrane, cytosol, nuclei, mitochondria, endoplasmic reticulum (ER), lysosomes, peroxisomes, cytoskeleton, and exosomes. Application of the quantitative proteomics method confirmed a significant effect of processing variables (i.e., homogenization method and centrifugation speed) on the recovery, enrichment, and purity of isolated proteins in microsomes and cytosol. Particularly, markers of endoplasmic reticulum lumen and mitochondrial lumen were enriched in the cytosolic fractions as a result of their release during homogenization. Similarly, the relative recovery and composition of the total membrane fraction isolated from cell vs tissue samples was quantitatively different and should be considered in IVIVE. Further, analysis of exosomes isolated from sandwich-cultured hepatocyte media showed the effect of culture duration on compositions of purified exosomes. Therefore, the quantitative proteomics-based strategy developed here can be applied for efficient and simultaneous determination of multiple protein markers of various cellular organelles when compared to antibody- or activity-based assays and can be used for quality control of subcellular fractionation procedures including in vitro model development for drug metabolism and transport studies.

Indexed as

ProteomicsBiological TransportBiomarkersCells, CulturedChromatography, LiquidCytochrome P-450 Enzyme SystemCytosolExosomesHepatocytesHep G2 CellsHumansMembrane Transport ProteinsMicrosomesPharmaceutical PreparationsTandem Mass SpectrometryBiomarkersCytochrome P-450 Enzyme SystemMembrane Transport ProteinsPharmaceutical Preparations

Identifiers

PMID30204418
PMCPMC6414395

What OpenQuestion holds

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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.