Evidence map›Paper›PMID 18211293›Full record

ArticleCell proliferation2008

A quantitative study of growth variability of tumour cell clones in vitro.

C Tomelleri, E Milotti, C Dalla Pellegrina, O Perbellini, A Del Fabbro, M T Scupoli, R Chignola

Abstract read
In one paragraph

Article in Cell proliferation, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

C TomelleriDepartment of Science and Technology, University of Verona, Verona, Italy.
E Milotti
C Dalla Pellegrina
O Perbellini
A Del Fabbro
M T Scupoli
R Chignola

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn this study, we quantify growth variability of tumour cell clones from a human leukaemia cell line. MATERIALS AND

methodsWe have used microplate spectrophotometry to measure growth kinetics of hundreds of individual cell clones from the Molt3 cell line. Growth rate of each clonal population has been estimated by fitting experimental data with the logistic equation.

resultsGrowth rates were observed to vary between different clones. Up to six clones with growth rates above or below mean growth rate of the parent population were further cloned and growth rates of their offspring were measured. Distribution of growth rates of the subclones did not significantly differ from that of the parent population, thus suggesting that growth variability has an epigenetic origin. To explain observed distributions of clonal growth rates, we have developed a probabilistic model, assuming that fluctuation in the number of mitochondria through successive cell cycles is the leading cause of growth variability. For fitting purposes, we have estimated experimentally by flow cytometry the average maximum number of mitochondria in Molt3 cells. The model fits nicely observed distributions in growth rates; however, cells in which mitochondria were rendered non-functional (rho(0) cells) showed only 30% reduction in clonal growth variability with respect to normal cells.

conclusionsA tumour cell population is a dynamic ensemble of clones with highly variable growth rates. At least part of this variability is due to fluctuations in the initial number of mitochondria in daughter cells.

Indexed as

Cell DivisionBase SequenceCell Line, TumorClone CellsDNA PrimersFlow CytometryHumansIn Vitro TechniquesLeukemiaMitochondriaSpectrophotometryDNA Primers

Identifiers

PMID18211293
PMCPMC6496292

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Registered trials

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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.