Evidence map›Paper›PMID 29388101›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2018

Deriving Quantitative Cell Biological Information from Dye-Dilution Lymphocyte Proliferation Experiments.

Koushik Roy, Maxim Nikolaievich Shokhirev, Simon Mitchell, Alexander Hoffmann

Abstract readReview
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2018. 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. Article
  2. Article
  3. Article
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

4 authors.

Koushik RoyDepartment of Microbiology, Immunology, and Molecular Genetics, Institute for Quantitative and Computational Biosciences, University of California, Box 951570, 570 Boyer Hall, Los Angeles, CA, 90095, USA.
Maxim Nikolaievich ShokhirevThe Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.
Simon MitchellDepartment of Microbiology, Immunology, and Molecular Genetics, Institute for Quantitative and Computational Biosciences, University of California, Box 951570, 570 Boyer Hall, Los Angeles, CA, 90095, USA.
Alexander HoffmannDepartment of Microbiology, Immunology, and Molecular Genetics, Institute for Quantitative and Computational Biosciences, University of California, Box 951570, 570 Boyer Hall, Los Angeles, CA, 90095, USA. ahoffmann@ucla.edu.

Funding

Cell decision underlying B-cell immune responsesR01AI132731 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOFFMANN, ALEXANDER · 2018 to 2022
$2.2M
The NF-kB signaling system as a regulator of B-cell activationR01AI083453 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HOFFMANN, ALEXANDER · 2010 to 2014
$1.7M
NIAID NIH HHS R01 AI083453NIAID NIH HHS R01 AI132731
6 · The paper itself

Abstract

The dye-dilution assay is a powerful tool to study lymphocyte expansion dynamics. By combining time course dye-dilution experiments with computational analysis, quantitative information about cell biological parameters, such as percentage of cells dividing, time of division, and time of death, can be produced. Here, we describe the method to generate quantitative cell biological insights from dye-dilution experiments. We describe experimental methods for generating dye-dilution data with murine lymphocytes and then describe the computational data analysis workflow using a recently developed software package called FlowMax. The aim is to interpret the dye-dilution data quantitatively and objectively, such that cell biological parameters can be reported with an appropriate measure of confidence, which in turn depends on the quality and quantity of available data.

Indexed as

SoftwareAnimalsCell DivisionFlow CytometryFluorescent DyesHumansLymphocytesFluorescent DyesB cellCell biological parameterCFSE assayFlowMaxLymphocyteLymphocyte dynamicsProliferationQuantitative dye dilution

Identifiers

PMID29388101
PMCPMC8363314

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.