Evidence map›Paper›PMID 29072271›Full record

ArticleNature2017

Inertial picobalance reveals fast mass fluctuations in mammalian cells.

David Martínez-Martín, Gotthold Fläschner, Benjamin Gaub, Sascha Martin, Richard Newton, Corina Beerli, Jason Mercer, Christoph Gerber, Daniel J Müller

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
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  5. Article
  6. Reliable biological and multi-omics research through biometrology.Analytical and bioanalytical chemistry · 2024
    Review
  7. Article
  8. The Hypothesis of a "Living Pulse" in Cells.Life (Basel, Switzerland) · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Protein and lipid mass concentration measurement in tissues by stimulated Raman scattering microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. Article
  18. Article
  19. Microfluidic Single-Cell Analytics.Advances in biochemical engineering/biotechnology · 2022
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

David Martínez-MartínEidgenössische Technische Hochschule (ETH) Zürich, Department of Biosystems Science and Engineering, 4058 Basel, Switzerland.
Gotthold FläschnerEidgenössische Technische Hochschule (ETH) Zürich, Department of Biosystems Science and Engineering, 4058 Basel, Switzerland.
Benjamin GaubEidgenössische Technische Hochschule (ETH) Zürich, Department of Biosystems Science and Engineering, 4058 Basel, Switzerland.
Sascha MartinSwiss Nanoscience Institute (SNI), University of Basel, 4056 Basel, Switzerland.
Richard NewtonEidgenössische Technische Hochschule (ETH) Zürich, Department of Biosystems Science and Engineering, 4058 Basel, Switzerland.
Corina BeerliMRC Laboratory for Molecular Cell Biology, University College London, London WC1E 6BT, UK.
Jason MercerMRC Laboratory for Molecular Cell Biology, University College London, London WC1E 6BT, UK.
Christoph GerberSwiss Nanoscience Institute (SNI), University of Basel, 4056 Basel, Switzerland.
Daniel J MüllerEidgenössische Technische Hochschule (ETH) Zürich, Department of Biosystems Science and Engineering, 4058 Basel, Switzerland.

Funding

Medical Research Council MC_UU_12018/7
6 · The paper itself

Abstract

The regulation of size, volume and mass in living cells is physiologically important, and dysregulation of these parameters gives rise to many diseases. Cell mass is largely determined by the amount of water, proteins, lipids, carbohydrates and nucleic acids present in a cell, and is tightly linked to metabolism, proliferation and gene expression. Technologies have emerged in recent years that make it possible to track the masses of single suspended cells and adherent cells. However, it has not been possible to track individual adherent cells in physiological conditions at the mass and time resolutions required to observe fast cellular dynamics. Here we introduce a cell balance (a 'picobalance'), based on an optically excited microresonator, that measures the total mass of single or multiple adherent cells in culture conditions over days with millisecond time resolution and picogram mass sensitivity. Using our technique, we observe that the mass of living mammalian cells fluctuates intrinsically by around one to four per cent over timescales of seconds throughout the cell cycle. Perturbation experiments link these mass fluctuations to the basic cellular processes of ATP synthesis and water transport. Furthermore, we show that growth and cell cycle progression are arrested in cells infected with vaccinia virus, but mass fluctuations continue until cell death. Our measurements suggest that all living cells show fast and subtle mass fluctuations throughout the cell cycle. As our cell balance is easy to handle and compatible with fluorescence microscopy, we anticipate that our approach will contribute to the understanding of cell mass regulation in various cell states and across timescales, which is important in areas including physiology, cancer research, stem-cell differentiation and drug discovery.

Indexed as

Cell SizeAdenosine TriphosphateAnimalsCell AdhesionCell CycleCell DeathCell SurvivalFibroblastsHeLa CellsHumansInterphaseMiceMicroscopy, FluorescenceSingle-Cell AnalysisVaccinia virusWaterAdenosine TriphosphateWater

Identifiers

PMID29072271

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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.