Evidence map›Paper›PMID 29385243›Full record

ArticleElectrophoresis2018

Arrayed isoelectric focusing using photopatterned multi-domain hydrogels.

Kevin A Yamauchi, Augusto M Tentori, Amy E Herr

Abstract read
In one paragraph

Article in Electrophoresis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Kevin A YamauchiThe UC Berkeley/UCSF Graduate Program in Bioengineering, Berkeley, CA, USA.
Augusto M TentoriThe UC Berkeley/UCSF Graduate Program in Bioengineering, Berkeley, CA, USA.
Amy E HerrThe UC Berkeley/UCSF Graduate Program in Bioengineering, Berkeley, CA, USA.
University of California, Berkeley · USGraduate Theological Union · US

Funding

MULTIPLEXED ISOFORM QUANTIFICATION IN HER2-POSITIVE BREAST CANCERR01CA203018 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI HERR, AMY ELIZABETH · 2016 to 2024
$2.8M
NCI NIH HHS R01 CA203018
6 · The paper itself

Abstract

Isoelectric focusing (IEF) is a powerful separation method, useful for resolving subtle changes in the isoelectric point of unlabeled proteins. While microfluidic IEF has reduced the separation times from hours in traditional benchtop IEF to minutes, the enclosed devices hinder post-separation access to the sample for downstream analysis. The two-layer open IEF device presented here comprises a photopatterned hydrogel lid layer containing the chemistries required for IEF and a thin polyacrylamide bottom layer in which the analytes are separated. The open IEF device produces comparable minimum resolvable difference in isoelectric point and gradient stability to enclosed microfluidic devices while providing post-separation sample access by simple removal of the lid layer. Further, using simulations, we determine that the material properties and the length of the separation lanes are the primary factors that affect the electric field magnitude in the separation region. Finally, we demonstrate self-indexed photomasks for alignment-free fabrication of multi-domain hydrogels. We leverage this approach to generate arrayed pH gradients with a total of 80 concurrent separation lanes, which to our knowledge is the first demonstration of multiple IEF separations in series addressed by a single pair of electrodes.

Indexed as

HydrogelsIsoelectric FocusingMicrofluidicsProteinsHydrogelsProteinsIEFMicrofluidicsOpen microfluidicsProtein analysis

Identifiers

PMID29385243
PMCPMC6106862
OpenAlexW2790052606

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.