Evidence map›Paper›PMID 39017893›Full record

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

Quantifying Human Naïve B Cell Proliferation Kinetics and Differentiation in Controlled In Vitro Cell Culture.

Anthony J Farchione, HoChan Cheon, Philip D Hodgkin, Vanessa L Bryant

Abstract read
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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. Functional immune profiling reveals CD4Immunology and cell biology · 2026
    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.

Anthony J FarchioneImmunology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
HoChan CheonImmunology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Philip D HodgkinImmunology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Vanessa L BryantImmunology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia. Bryant.v@wehi.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Division tracking dyes like Cell Trace Violet (CTV) enable the quantification of cell proliferation, division, and survival kinetics of human naïve B cell responses in vitro. Human naïve B cells exhibit distinct responses to different stimuli, with CpG and anti-Ig inducing a T cell-independent (TI) response, while CD40L and IL-21 promote a T cell-dependent (TD) response that induces isotype switching and differentiation into antibody-secreting cells (ASCs). Both stimulation methods yield valuable insights into the intrinsic programming of B cell health within individuals, making them useful for clinical investigations. For instance, quantitative analysis from these B cell populations could reveal biologically meaningful measurements such as the average number of division rounds and the time to cells' fate. Here, we describe a novel in vitro culture setup for CTV-labelled human naïve B cells and a method for obtaining precise time-based data on proliferation, division-linked isotype switching, and differentiation.

Indexed as

B-LymphocytesCell Culture TechniquesCell DifferentiationCell ProliferationCells, CulturedHumansImmunoglobulin Class SwitchingKineticsLymphocyte ActivationAntibody secreting cells (ASCs)B cell differentiationB cell stimulationCell trace violet (CTV)Isotype switchingMemory B cellsNaïve B cellsPrecursor cohortT cell dependent (TD)T cell independent (TI)

Identifiers

PMID39017893

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.