Evidence map›Paper›PMID 38753146›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

A Guide to the Quantitation of Protein Secretion Dynamics at the Single-Cell Level.

Nathan Aymerich, Olivia T M Bucheli, Kevin Portmann, Klaus Eyer, Jean Baudry

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. 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
–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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Nathan AymerichLaboratoire de Colloïdes et Matériaux Divisés (LCMD), CBI, ESPCI Paris, Université PSL, CNRS, Paris, France.
Olivia T M BucheliLaboratory for Functional Immune Repertoire Analysis, Institute of Pharmaceutical Sciences, D-CHAB, ETH Zürich, Zürich, Switzerland.
Kevin PortmannLaboratory for Functional Immune Repertoire Analysis, Institute of Pharmaceutical Sciences, D-CHAB, ETH Zürich, Zürich, Switzerland.
Klaus EyerLaboratory for Functional Immune Repertoire Analysis, Institute of Pharmaceutical Sciences, D-CHAB, ETH Zürich, Zürich, Switzerland.
Jean BaudryLaboratoire de Colloïdes et Matériaux Divisés (LCMD), CBI, ESPCI Paris, Université PSL, CNRS, Paris, France. jean.baudry@espci.psl.eu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein secretion is a key cellular functionality, particularly in immunology, where cells can display large heterogeneity in this crucial activity in addition to binary secretion behavior. However, few methods enable quantitative secretion rate measurements at the single-cell level, and these methods are mostly based on microfluidics systems. Here, we describe such a microfluidic single-cell method for precisely measuring protein secretion rates in detail, building on the published droplet-based microfluidic platform DropMap. We give an updated, detailed guide toward quantifying protein secretion rates, discussing its setup and limitations. We illustrate the protocol on two key immunological analytes, immunoglobulin G, and interferon-γ.

Indexed as

Interferon-gammaSingle-Cell AnalysisHumansImmunoglobulin GMicrofluidic Analytical TechniquesMicrofluidicsProteinsImmunoglobulin GInterferon-gammaProteinsDroplet microfluidicsImmune cellsProtein secretionQuantificationSecretion ratesSingle-cell analysis

Identifiers

PMID38753146

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.