Evidence map›Paper›PMID 31659305›Full record

ArticleScientific reports2019

Multiplexed in-gel microfluidic immunoassays: characterizing protein target loss during reprobing of benzophenone-modified hydrogels.

Anjali Gopal, Amy E Herr

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Single-Cell Protein Assays in Context: From 2D to 3D and In Situ Analysis.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026
    Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Anjali GopalDepartment of Bioengineering, University of California, Berkeley, Berkeley, California, 94720, United States.
Amy E HerrDepartment of Bioengineering, University of California, Berkeley, Berkeley, California, 94720, United States. aeh@berkeley.edu.

Funding

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 R33 CA225296
6 · The paper itself

Abstract

From whole tissues to single-cell lysate, heterogeneous immunoassays are widely utilized for analysis of protein targets in complex biospecimens. Recently, benzophenone-functionalized hydrogel scaffolds have been used to immobilize target protein for immunoassay detection with fluorescent antibody probes. In benzophenone-functionalized hydrogels, multiplex target detection occurs via serial rounds of chemical stripping (incubation with sodium-dodecyl-sulfate (SDS) and β-mercaptoethanol at 50-60 °C for ≥1 h), followed by reprobing (interrogation with additional antibody probes). Although benzophenone facilitates covalent immobilization of proteins to the hydrogel, we observe 50% immunoassay signal loss of immobilized protein targets during stripping rounds. Here, we identify and characterize signal loss mechanisms during stripping and reprobing. We posit that loss of immobilized target is responsible for ≥50% of immunoassay signal loss, and that target loss is attributable to disruption of protein immobilization by denaturing detergents (SDS) and incubation at elevated temperatures. Furthermore, our study suggests that protein losses under non-denaturing conditions are more sensitive to protein structure (i.e., hydrodynamic radius), than to molecular mass (size). We formulate design guidance for multiplexed in-gel immunoassays, including that low-abundance proteins be immunoprobed first, even when targets are covalently immobilized to the gel. We also recommend careful scrutiny of the order of proteins targets detected via multiple immunoprobing cycles, based on the protein immobilization buffer composition.

Indexed as

AlbuminsAnimalsBenzophenonesCattleChickensHydrogelsImmobilized ProteinsImmunoassayMercaptoethanolMicrofluidicsPlant ProteinsRibonuclease, PancreaticSodium Dodecyl SulfateTrypsin InhibitorsAlbuminsBenzophenonesHydrogelsImmobilized ProteinsMercaptoethanolPlant ProteinsRibonuclease, PancreaticSodium Dodecyl SulfateTrypsin Inhibitors

Identifiers

PMID31659305
PMCPMC6817870

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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.