Evidence map›Paper›PMID 33087574›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Computationally enhanced quantitative phase microscopy reveals autonomous oscillations in mammalian cell growth.

Xili Liu, Seungeun Oh, Leonid Peshkin, Marc W Kirschner

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
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

36 citing papers in PubMed, 63 citations in OpenAlex.

  1. Review
  2. Stochasticity in mammalian cell growth rates drives cell-to-cell variability independently of cell size and divisions.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  10. Tracking of lineage massLab on a chip · 2024
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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

4 authors at 1 institution in 1 country.

Xili LiuDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115.ORCID 0000-0002-1080-8762
Seungeun OhDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115.ORCID 0000-0002-4064-9301
Leonid PeshkinDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115.ORCID 0000-0002-6420-848X
Marc W KirschnerDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115 marc@hms.harvard.edu.ORCID 0000-0001-6540-6130
Harvard University · US

Funding

BIOCHEMICAL STUDIES OF MITOSISR01GM026875 · NIGMS · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI KIRSCHNER, MARC WALLACE · 1985 to 2019
$18.2M
Systems Analysis of cell type differentiation in Xenopus developmentR01HD073104 · NICHD · HARVARD MEDICAL SCHOOL · PI KIRSCHNER, MARC WALLACE, PESHKIN, LEON · 2012 to 2022
$6.7M
Proteomics of Cell Signaling in Embryogenesis.R01HD091846 · NICHD · HARVARD MEDICAL SCHOOL · PI GYGI, STEVEN P, KIRSCHNER, MARC WALLACE · 2017 to 2021
$3.1M
NICHD NIH HHS R01 HD073104NICHD NIH HHS R01 HD091846NIGMS NIH HHS R01 GM026875
6 · The paper itself

Abstract

The fine balance of growth and division is a fundamental property of the physiology of cells, and one of the least understood. Its study has been thwarted by difficulties in the accurate measurement of cell size and the even greater challenges of measuring growth of a single cell over time. We address these limitations by demonstrating a computationally enhanced methodology for quantitative phase microscopy for adherent cells, using improved image processing algorithms and automated cell-tracking software. Accuracy has been improved more than twofold and this improvement is sufficient to establish the dynamics of cell growth and adherence to simple growth laws. It is also sufficient to reveal unknown features of cell growth, previously unmeasurable. With these methodological and analytical improvements, in several cell lines we document a remarkable oscillation in growth rate, occurring throughout the cell cycle, coupled to cell division or birth yet independent of cell cycle progression. We expect that further exploration with this advanced tool will provide a better understanding of growth rate regulation in mammalian cells.

Indexed as

Cell ProliferationImage EnhancementAlgorithmsCell CycleCell DivisionCell LineCell TrackingHeLa CellsHumansIntravital Microscopycell growthperiodicity detectionquantitative phasesingle-cell dynamics

Identifiers

PMID33087574
PMCPMC7959529
OpenAlexW3094039809

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.