Evidence map›Paper›PMID 29890396›Full record

ArticleBiosensors & bioelectronics2018

A flow-proteometric platform for analyzing protein concentration (FAP): Proof of concept for quantification of PD-L1 protein in cells and tissues.

Chao-Kai Chou, Po-Jung Huang, Pei-Hsiang Tsou, Yongkun Wei, Heng-Huan Lee, Ying-Nai Wang, Yen-Liang Liu, Colin Shi, Hsin-Chih Yeh, Jun Kameoka and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors & bioelectronics, 2018. 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
0.7field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
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

11 authors at 3 institutions in 2 countries.

Chao-Kai ChouDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Po-Jung HuangDepartment of Materials Science and Engineering, Texas A&M University, College Station, TX, USA.
Pei-Hsiang TsouDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Yongkun WeiDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Heng-Huan LeeDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ying-Nai WangDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Yen-Liang LiuDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Colin ShiDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Hsin-Chih YehDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Jun KameokaDepartment of Materials Science and Engineering, Texas A&M University, College Station, TX, USA; Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA. Electronic address: kameoka@mail.ece.tamu.edu.
Mien-Chie HungDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Graduate Institute for Biomedical Sciences and Center for Molecular Medicine, China Medical University, Taichung, Taiwan; Cancer Biology Program, Graduate School of Biomedical Sciences, The University of Texas Health Sciences Center at Houston, Houston, TX, USA; Department of Biotechnology, Asia University, Taichung, Taiwan. Electronic address: mhung@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USTexas A&M University · USThe University of Texas at Austin · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
An integrated imaging tool for probing EGFR subcellular trafficking in real timeR21CA193038 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI DUNN, ANDREW K, YEH, HSIN-CHIH · 2015 to 2017
$625k
NCI NIH HHS P30 CA016672NCI NIH HHS R21 CA193038
6 · The paper itself

Abstract

Protein expression level is critically related to the cell physiological function. However, current methodologies such as Western blot (WB) and Immunohistochemistry (IHC) in analyzing the protein level are rather semi-quantitative and without the information of actual protein concentration. We have developed a microfluidic technique termed a "flow-proteometric platform for analyzing protein concentration (FAP)" that can measure the concentration of a target protein in cells or tissues without the requirement of a calibration standard, e.g., the purified target molecules. To validate our method, we tested a number of control samples with known target protein concentrations and showed that the FAP measurement resulted in concentrations that well matched the actual concentrations in the control samples (coefficient of determination [R

Indexed as

ProteomicsB7-H1 AntigenBiosensing TechniquesBreast NeoplasmsCell Line, TumorHeLa CellsHumansLimit of DetectionB7-H1 AntigenCD274 protein, humanMicrofluidicsProtein concentrationQuantified immunohistochemistrySingle moleculeStandard free

Identifiers

PMID29890396
PMCPMC11729797
OpenAlexW2807062064

What OpenQuestion holds

Textmetadata
LicenceTDM
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.