Evidence map›Paper›PMID 31242304›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2019

Microfluidic platform enables live-cell imaging of signaling and transcription combined with multiplexed secretion measurements in the same single cells.

Ramesh Ramji, Amanda F Alexander, Andrés R Muñoz-Rojas, Laura N Kellman, Kathryn Miller-Jensen

Abstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2019. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Ramesh RamjiDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Amanda F AlexanderDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Andrés R Muñoz-RojasDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Laura N KellmanDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Kathryn Miller-JensenDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.

Funding

Regulation of Sex-Specific Gonad Stem Cell Niche Development by DoublesexR01GM113001 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI VAN DOREN, MARK B · 2016 to 2023
$3.1M
Systems analysis of cell-to-cell variability and signaling-transcription factor motifs regulating macrophage responses to conflicting environmental cuesR01GM123011 · NIGMS · YALE UNIVERSITY · PI MILLER-JENSEN, KATHRYN · 2017 to 2025
$2.5M
NIGMS NIH HHS R01 GM113001NIGMS NIH HHS R01 GM123011
6 · The paper itself

Abstract

Innate immune cells, including macrophages and dendritic cells, protect the host from pathogenic assaults in part through secretion of a program of cytokines and chemokines (C/Cs). Cell-to-cell variability in C/C secretion appears to contribute to the regulation of the immune response, but the sources of secretion variability are largely unknown. To begin to track the biological sources that control secretion variability, we developed and validated a microfluidic device to integrate live-cell imaging of fluorescent reporter proteins with a single-cell assay of protein secretion. We used this device to image NF-κB RelA nuclear translocation dynamics and Tnf transcription dynamics in macrophages in response to stimulation with the bacterial component lipopolysaccharide (LPS), followed by quantification of secretion of TNF, CCL2, CCL3, and CCL5. We found that the timing of the initial peak of RelA signaling in part determined the relative level of TNF and CCL3 secretion, but not CCL2 and CCL5 secretion. Our results support evidence that differences in timing across cell processes partly account for cell-to-cell variability in downstream responses, but that other factors introduce variability at each biological step.

Indexed as

Lab-On-A-Chip DevicesTranscription, GeneticAnimalsAntibodiesCell CommunicationChemokine CCL2Chemokine CCL3Chemokine CCL5Equipment DesignLipopolysaccharidesMacrophagesMiceMice, Inbred C57BLMicrofluidicsRAW 264.7 CellsSignal TransductionAntibodiesCcl2 protein, mouseCcl3 protein, mouseCcl5 protein, mouseChemokine CCL2Chemokine CCL3Chemokine CCL5LipopolysaccharidesRela protein, mouseTranscription Factor RelATumor Necrosis Factor-alpha

Identifiers

PMID31242304
PMCPMC8672722

What OpenQuestion holds

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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.