Evidence map›Paper›PMID 25347613›Full record

ArticleAnalytical chemistry2014

Nanowell-based immunoassays for measuring single-cell secretion: characterization of transport and surface binding.

Alexis J Torres, Abby S Hill, J Christopher Love

Abstract read
In one paragraph

Article in Analytical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

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

40 citing papers in PubMed.

  1. Accelerated protein digestion by numbering-up nanochannels, followed by LC-MS analysis.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
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  12. Probing T-cell activation in nanoliter tumor co-cultures using membrane displacement trap arrays.Integrative biology : quantitative biosciences from nano to macro · 2024
    Article
  13. The Intriguing Landscape of Single-Cell Protein Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
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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.

Alexis J TorresDepartment of Chemical Engineering, ‡Department of Biological Engineering, and §Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology , Cambridge, Massachusetts 02139, United States.
Abby S Hill
J Christopher Love

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MATTHEW G. VANDER HEIDEN · 1985 to 2026
$93.9M
TCR recognition of MHC class II peptide compexes in multiple sclerosisP01AI045757 · NIAID · DANA-FARBER CANCER INSTITUTE · PI WUCHERPFENNIG, KAI W · 1999 to 2017
$22.8M
NCI NIH HHS P30 CA014051NCI NIH HHS P30-CA14051NIAID NIH HHS 5P01AI045757NIAID NIH HHS P01 AI045757
6 · The paper itself

Abstract

Arrays of subnanoliter wells (nanowells) provide a useful system to isolate single cells and analyze their secreted proteins. Two general approaches have emerged: one that uses open arrays and local capture of secreted proteins, and a second (called microengraving) that relies on closed arrays to capture secreted proteins on a solid substrate, which is subsequently removed from the array. However, the design and operating parameters for efficient capture from these two approaches to analyze single-cell secretion have not been extensively considered. Using numerical simulations, we analyzed the operational envelope for both open and closed formats, as a function of the spatial distribution of capture ligands, their affinities for the protein, and the rates of single-cell secretion. Based on these analyses, we present a modified approach to capture secreted proteins in-well for highly active secreting cells. This simple method for in-well detection should facilitate rapid identification of cell lines with high specific productivities.

Indexed as

ImmunoassayAnimalsBinding SitesChickensHybridomasImmunoglobulin GNanostructuresOvalbuminSingle-Cell AnalysisSurface PropertiesImmunoglobulin GOvalbumin

Identifiers

PMID25347613
PMCPMC4255675

What OpenQuestion holds

Textmetadata
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.