Evidence map›Paper›PMID 32347219›Full record

ArticleThe Analyst2020

Ferguson analysis of protein electromigration during single-cell electrophoresis in an open microfluidic device.

Kristine Y Tan, Amy E Herr

Open access · greenAbstract read
In one paragraph

Article in The Analyst, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 2 institutions in 1 country.

Kristine Y TanThe UC Berkeley - UCSF Graduate Program in Bioengineering, 94720 Berkeley, USA. aeh@berkeley.edu.
Amy E Herr
University of California, Berkeley · USUniversity of California System · US

Funding

UCSF/UCB Joint Graduate Group in BIoengineeringT32GM008155 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DESAI, TEJAL A. · 1985 to 2020
$12.2M
MULTIPLEXED ISOFORM QUANTIFICATION IN HER2-POSITIVE BREAST CANCERR01CA203018 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI HERR, AMY ELIZABETH · 2016 to 2024
$2.8M
Advanced Cancer Classification via Single-Cell Electrophoretic CytopathologyR33CA225296 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI HERR, AMY ELIZABETH · 2017 to 2017
$1.5M
NCI NIH HHS R01 CA203018NCI NIH HHS R33 CA225296NIGMS NIH HHS T32 GM008155
6 · The paper itself

Abstract

In an open microfluidic device, we investigate protein polyacrylamide gel electrophoresis (PAGE) separation performance on single-cell lysate. Single-cell protein electrophoresis is performed in a thin layer of polyacrylamide (PA) gel into which microwells are molded. Individual cells are isolated in these open microwells, then lysed on-chip with a dual lysis and electrophoresis sodium dodecyl sulfate (SDS) buffer. We scrutinize the effect of sieving gel composition on electromigration of protein targets, using a wide range of cellular protein standards (36 kDa to 289 kDa). We find that as PA concentration increases, protein electromigration deviates from the empirical log-linear relationship predicted between migration distance and molecular mass. We perform Ferguson analysis to calculate retardation coefficients and free solution mobilities of nine cellular protein standards and observe that the largest-molecular-mass protein, mTOR (289 kDa), does not behave as predicted by established linear-fit models for SDS-denatured proteins, indicating that mTOR is beyond the linear range of this assay. Lastly, we performed in-gel immunoprobing on the single-cell electrophoretic separations and observed that smaller pore-size gels (higher gel concentration) reduce protein diffusion out of the gel, which does not notably impact the measured immunoprobed protein expression. Compared to larger pore-size gels, the smaller pore-size gels lead to higher local concentrations of the target protein in each protein band, resulting in an increase in the signal-to-noise ratio (SNR) for each protein. Understanding the separation and immunoprobing performance at different gel concentrations improves assay design and optimization for target proteins.

Indexed as

Lab-On-A-Chip DevicesElectrophoresisLinear ModelsProteinsSingle-Cell AnalysisProteins

Identifiers

PMID32347219
PMCPMC7336862
OpenAlexW3017502653

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.