Evidence map›Paper›PMID 35768540›Full record

ArticleScientific reports2022

Development of a UPLC-MRM-based targeted proteomic method to profile subcellular organelle marker proteins from human liver tissues.

Xiazi Qiu, Laura M Doyle, Michael Zhuo Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Xiazi QiuDepartment of Pharmaceutical Chemistry, School of Pharmacy, University of Kansas, Lawrence, KS, USA.
Laura M DoyleDepartment of Pharmaceutical Chemistry, School of Pharmacy, University of Kansas, Lawrence, KS, USA.
Michael Zhuo WangDepartment of Pharmaceutical Chemistry, School of Pharmacy, University of Kansas, Lawrence, KS, USA. michael.wang@ku.edu.
University of Kansas · US

Funding

Label-free quantitative proteomic methods for developmental pharmacologyR03HD089006 · NICHD · UNIVERSITY OF KANSAS LAWRENCE · PI WANG, ZHUO MICHAEL · 2016 to 2017
$152k
NICHD NIH HHS R03 HD089006NICHD NIH HHS R03HD089006-01
6 · The paper itself

Abstract

Subcellular organelles have long been an interest in biochemical research and drug development as the isolation of those organelles can help to probe protein functions and elucidate drug disposition within the cell. Usually, the purity of isolated subcellular organelle fractions was determined using immunoblot analysis of subcellular organelle marker proteins, which can be labor-intensive and lack reproducibility due to antibody batch-to-batch variability. As such, a higher throughput and more robust method is needed. Here, a UPLC-MRM-based targeted proteomic method was developed for a panel of human organelle marker proteins and used to profile a series of sucrose fractions isolated from the protein extract of human liver tissues. The method was validated by comparing to the traditional immunoblot and determining subcellular localization of three case study proteins (CYP3A4, FcRn, and β2M) pertaining to the disposition of small molecule and biologic drugs. All three case study proteins were co-enriched with their corresponding subcellular protein marker, and complete recoveries were achieved from isolated fractions. This newly developed MRM method for the panel of human organelle marker proteins can potentially accelerate future intracellular drug disposition analysis and facilitate subcellular organelle quality assessment.

Indexed as

OrganellesProteomicsBiomarkersHumansLiverProteinsReproducibility of ResultsSubcellular FractionsBiomarkersProteins

Identifiers

PMID35768540
PMCPMC9243099
OpenAlexW4283710514

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.