Evidence map›Paper›PMID 30424565›Full record

ArticleMicromachines2018

Microfluidic Analyzer Enabling Quantitative Measurements of Specific Intracellular Proteins at the Single-Cell Level.

Lixing Liu, Beiyuan Fan, Diancan Wang, Xiufeng Li, Yeqing Song, Ting Zhang, Deyong Chen, Yixiang Wang, Junbo Wang, Jian Chen

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 1 country.

Lixing LiuState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China. liulixing16@mails.ucas.ac.cn.ORCID 0000-0002-9962-1688
Beiyuan FanState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China. fanbeiyuan@ucas.ac.cn.ORCID 0000-0001-9012-8996
Diancan WangPeking University School of Stomatology, Beijing 10081, China. bjdxwdc@gmail.com.
Xiufeng LiState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China. lixiufeng13@mails.ucas.ac.cn.ORCID 0000-0002-3691-2947
Yeqing SongPeking University School of Stomatology, Beijing 10081, China. duo.k.tong@gmail.com.
Ting ZhangState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China. 1141230132@ncepu.edu.cn.
Deyong ChenState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China. dychen@mail.ie.ac.cn.
Yixiang WangPeking University School of Stomatology, Beijing 10081, China. kqwangyx@bjmu.edu.cn.
Junbo WangState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China. jbwang@mail.ie.ac.cn.
Jian ChenState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China. chenjian@mail.ie.ac.cn.ORCID 0000-0003-4612-3279
Chinese Academy of Sciences · CNPeking University · CN

Funding

National Natural Science Foundation of China 61431019
6 · The paper itself

Abstract

This paper presents a microfluidic instrument capable of quantifying single-cell specific intracellular proteins, which are composed of three functioning modules and two software platforms. Under the control of a LabVIEW platform, a pressure module flushed cells stained with fluorescent antibodies through a microfluidic module with fluorescent intensities quantified by a fluorescent module and translated into the numbers of specific intracellular proteins at the single-cell level using a MATLAB platform. Detection ranges and resolutions of the analyzer were characterized as 896.78⁻6.78 × 10⁵ and 334.60 nM for Alexa 488, 314.60⁻2.11 × 10⁵ and 153.98 nM for FITC, and 77.03⁻5.24 × 10⁴ and 37.17 nM for FITC-labelled anti-beta-actin antibodies. As a demonstration, the numbers of single-cell beta-actins of two paired oral tumor cell types and two oral patient samples were quantified as: 1.12 ± 0.77 × 10⁶/cell (salivary adenoid cystic carcinoma parental cell line (SACC-83),

Indexed as

absolute quantificationinstrumentationintracellular proteinsmicrofluidic flow cytometry

Identifiers

PMID30424565
PMCPMC6265747
OpenAlexW2901323186

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.