Evidence map›Paper›PMID 39466790›Full record

ArticlePLoS computational biology2024

Non-genetic differences underlie variability in proliferation among esophageal epithelial clones.

Raúl A Reyes Hueros, Rodrigo A Gier, Sydney M Shaffer

Abstract read
In one paragraph

Article in PLoS computational biology, 2024. 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

3 authors.

Raúl A Reyes HuerosDepartment of Biochemistry and Molecular Biophysics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Rodrigo A GierDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Sydney M ShafferDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0003-3539-9886

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Decoding mechanisms of phenotypic memory in single cellsDP5OD028144 · OD · UNIVERSITY OF PENNSYLVANIA · PI SHAFFER, SYDNEY · 2019 to 2023
$2.0M
NCATS NIH HHS UL1 TR001878NIH HHS DP5 OD028144
6 · The paper itself

Abstract

Individual cells grown in culture exhibit remarkable differences in their growth, with some cells capable of forming large clusters, while others are limited or fail to grow at all. While these differences have been observed across cell lines and human samples, the growth dynamics and associated cell states remain poorly understood. In this study, we performed clonal tracing through imaging and cellular barcoding of an in vitro model of esophageal epithelial cells (EPC2-hTERT). We found that about 10% of clones grow exponentially, while the remaining have cells that become non-proliferative leading to a halt in the growth rate. Using mathematical models, we demonstrate two distinct growth behaviors: exponential and logistic. Further, we discovered that the propensity to grow exponentially is largely heritable through four doublings and that the less proliferative clones can become highly proliferative through increasing plating density. Combining barcoding with single-cell RNA-sequencing (scRNA-seq), we identified the cellular states associated with the highly proliferative clones, which include genes in the WNT and PI3K pathways. Finally, we identified an enrichment of cells resembling the highly proliferative cell state in the proliferating healthy human esophageal epithelium.

Indexed as

Cell ProliferationEpithelial CellsEsophagusCell LineClone CellsComputational BiologyHumansSingle-Cell Analysis

Identifiers

PMID39466790
PMCPMC11573201

What OpenQuestion holds

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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.