Evidence map›Paper›PMID 36824755›Full record

ArticlebioRxiv : the preprint server for biology2023

Cell Population Growth Kinetics in the Presence of Stochastic Heterogeneity of Cell Phenotype.

Yue Wang, Joseph X Zhou, Edoardo Pedrini, Irit Rubin, May Khalil, Hong Qian, Sui Huang

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Yue WangDepartment of Computational Medicine, University of California, Los Angeles, California, United States of America.
Joseph X ZhouInstitute for Systems Biology, Seattle, Washington, United States of America.
Edoardo PedriniInstitute for Systems Biology, Seattle, Washington, United States of America.
Irit RubinInstitute for Systems Biology, Seattle, Washington, United States of America.
May KhalilInstitute for Systems Biology, Seattle, Washington, United States of America.
Hong QianDepartment of Applied Mathematics, University of Washington, Seattle, Washington, United States of America.
Sui HuangInstitute for Systems Biology, Seattle, Washington, United States of America.

Funding

The Allee Effect in Tumor InitiationR01CA226258 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI BROCK, AMY, HUANG, SUI · 2018 to 2022
$2.3M
NCI NIH HHS R01 CA226258
6 · The paper itself

Abstract

Recent studies at individual cell resolution have revealed phenotypic heterogeneity in nominally clonal tumor cell populations. The heterogeneity affects cell growth behaviors, which can result in departure from the idealized exponential growth. Here we measured the stochastic time courses of growth of an ensemble of populations of HL60 leukemia cells in cultures, starting with distinct initial cell numbers to capture the departure from the exponential growth model in the initial growth phase. Despite being derived from the same cell clone, we observed significant variations in the early growth patterns of individual cultures with statistically significant differences in growth kinetics and the presence of subpopulations with different growth rates that endured for many generations. Based on the hypothesis of existence of multiple inter-converting subpopulations, we developed a branching process model that captures the experimental observations.

Identifiers

PMID36824755
PMCPMC9948979

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.