Using buoyant mass to measure the growth of single cells
Open accessAbstract
We used a suspended microchannel resonator (SMR) combined with picoliter-scale microfluidic control to measure buoyant mass and determine the 'instantaneous' growth rates of individual cells. The SMR measures mass with femtogram precision, allowing rapid determination of the growth rate in a fraction of a complete cell cycle. We found that for individual cells of Bacillus subtilis, Escherichia coli, Saccharomyces cerevisiae and mouse lymphoblasts, heavier cells grew faster than lighter cells.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The suspended microchannel resonator quantified mass accumulation rate of single cells over about 15 minutes with high signal-to-noise ratios in both BT145 glioblastoma and BCR-ABL acute lymphoblastic leukemia cells.
“Consistent with our previous findings12, the SMR was able to quantify MAR of single cells over ~15 minutes intervals with high signal-to-noise ratios in both tumor types (Fig. 1b).”
From Drug sensitivity of single cancer cells is predicted by changes in mass accumulation rate (2016) · cites this paper as [12]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Nature, Nurture, or Chance: Stochastic Gene Expression and Its Consequences
Raj, A., & van Oudenaarden, A. (2008) · Cell · doi:10.1016/j.cell.2008.09.050 · Cited by 2,593 · see citing works
Weighing of biomolecules, single cells and single nanoparticles in fluid
Burg, T. P., Godin, M., Knudsen, S. M., Shen, W., Carlson, G., Foster, J. S., Babcock, K., & Manalis, S. R. (2007) · Nature · doi:10.1038/nature05741 · Cited by 1,213 · see citing works
Self-citationIntegrative Analysis of Cell Cycle Control in Budding Yeast
Chen, K. C., Calzone, L., Csikász‐Nagy, A., Cross, F. R., Novák, B., & Tyson, J. J. (2004) · Molecular Biology of the Cell · doi:10.1091/mbc.e03-11-0794 · Cited by 625 · see citing works
How Cells Coordinate Growth and Division
Jorgensen, P., & Tyers, M. (2004) · Current Biology · doi:10.1016/j.cub.2004.11.027 · Cited by 559 · see citing works
Self-citationOptical imaging of cell mass and growth dynamics
Popescu, G., Park, Y., Lue, N., Best-Popescu, C. A., DeFlores, L. P., Dasari, R. R., Feld, M. S., & Badizadegan, K. (2008) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00121.2008 · Cited by 521 · see citing works
The effects of molecular noise and size control on variability in the budding yeast cell cycle
Talia, S. D., Skotheim, J. M., Bean, J. M., Siggia, E. D., & Cross, F. R. (2007) · Nature · doi:10.1038/nature06072 · Cited by 472 · see citing works
Cell Growth and Size Homeostasis in Proliferating Animal Cells
Tzur, A., Kafri, R., LeBleu, V. S., Lahav, G., & Kirschner, M. W. (2009) · Science · doi:10.1126/science.1174294 · Cited by 403 · see citing works
Self-citationGrowth, Cell and Nuclear Divisions in some Bacteria
Schaechter, M., Williamson, J. P., Hood, J. R., & Koch, A. L. (1962) · Journal of General Microbiology · doi:10.1099/00221287-29-3-421 · Cited by 275 · see citing works
Cell Shape Dynamics in Escherichia coli
Reshes, G., Vanounou, S., Fishov, I., & Feingold, M. (2008) · Biophysical Journal · doi:10.1529/biophysj.107.104398 · Cited by 226 · see citing works
Conlon, I. J., & RAFF, M. C. (2003) · Journal of Biology · doi:10.1186/1475-4924-2-7 · Cited by 208 · see citing works
Rate of macromolecular synthesis through the cell cycle of the yeast Saccharomyces cerevisiae.
Elliott, S. G., & McLaughlin, C. S. (1978) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.75.9.4384 · Cited by 205 · see citing works
Godin, M., Bryan, A. K., Burg, T. P., Babcock, K., & Manalis, S. R. (2007) · Applied Physics Letters · doi:10.1063/1.2789694 · Cited by 204 · see citing works
Self-citationRelations between cell growth and cell division
Prescott, D. M. (1955) · Experimental Cell Research · doi:10.1016/0014-4827(55)90106-3 · Cited by 165 · see citing works
The rate of cell growth is governed by cell cycle stagePreprint
Goranov, A. I., Cook, M. A., Řičicová, M., Ben‐Ari, G., Gonzalez, C., Hansen, C. L., Tyers, M., & Amon, A. (2009) · Genes & Development · doi:10.1101/gad.1777309 · Cited by 158 · see citing works
The Fab1 phosphatidylinositol kinase pathway in the regulation of vacuole morphology
Efe, J. A., Botelho, R. J., & Emr, S. D. (2005) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2005.06.002 · Cited by 112 · see citing works
Cell growth and length distribution in Escherichia coli
Cullum, J., & Vicente, M. (1978) · Journal of Bacteriology · doi:10.1128/jb.134.1.330-337.1978 · Cited by 78 · see citing works
Timing the start of division in E. coli : a single-cell study
Reshes, G., Vanounou, S., Fishov, I., & Feingold, M. (2008) · Physical Biology · doi:10.1088/1478-3975/5/4/046001 · Cited by 75 · see citing works
Increase in cell mass during the division cycle of Escherichia coli B/rA
KUBITSCHEK, H. E. (1986) · Journal of Bacteriology · doi:10.1128/jb.168.2.613-618.1986 · Cited by 56 · see citing works
Global asymptotic stability of the size distribution in probabilistic models of the cell cycle
Tyson, J. J., & Hannsgen, K. B. (1985) · Journal of Mathematical Biology · doi:10.1007/bf00276546 · Cited by 39 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [19]Godin M Bryan AK Burg TP Babcock K Manalis SR Applied Physics Letters 91 23121 2007
Cited by
Sorted by citations
High-throughput measurement of single-cell growth rates using serial microfluidic mass sensor arrays
Cermak, N., Olcum, S., Delgado, F. F., Wasserman, S. C., Payer, K. R., A Murakami, M., Knudsen, S. M., Kimmerling, R. J., Stevens, M. M., Kikuchi, Y., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3666 · Cited by 227 · see citing works
Self-citationDirect observation of mammalian cell growth and size regulation
Son, S., Tzur, A., Weng, Y., Jorgensen, P., Kim, J., Kirschner, M. W., & Manalis, S. R. (2012) · Nature Methods · doi:10.1038/nmeth.2133 · Cited by 220 · see citing works
Self-citationSingle-cell dynamics of the chromosome replication and cell division cycles in mycobacteria
Santi, I., Dhar, N., Bousbaine, D., Wakamoto, Y., & McKinney, J. D. (2013) · Nature Communications · doi:10.1038/ncomms3470 · Cited by 170 · see citing works
Drug sensitivity of single cancer cells is predicted by changes in mass accumulation rate
Stevens, M. M., Maire, C. L., Chou, N., Murakami, M. A., Knoff, D. S., Kikuchi, Y., Kimmerling, R. J., Liu, H., Haidar, S., Calistri, N. L., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3697 · Cited by 106 · see citing works
Self-citationLogsdon, M. M., Ho, P.-Y., Papavinasasundaram, K., Richardson, K., Cokol, M., Sassetti, C. M., Amir, A., & Aldridge, B. B. (2017) · Current Biology · doi:10.1016/j.cub.2017.09.046 · Cited by 69 · see citing works
Takhaveev, V., Özsezen, S., Smith, E. N., Zylstra, A., Chaillet, M. L., Chen, H., Papagiannakis, A., Milias-Argeitis, A., & Heinemann, M. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00741-x · Cited by 36 · see citing works
Ribosome biogenesis in replicating cells: integration of experiment and theory
Earnest, E. E., Cole, J. A., Peterson, J. R., Hallock, M. J., Kuhlman, T. E., & Luthey‐Schulten, Z. (2016) · Biopolymers · doi:10.1002/bip.22892 · Cited by 16 · see citing works
- Authors
- Godin, M., Delgado, F. F., Son, S., Grover, W. H., Bryan, A. K., Tzur, A., Jorgensen, P., Payer, K., Grossman, A. D., Kirschner, M. W., & Manalis, S. R.
- Affiliations
- University of Ottawa (CA)
- Massachusetts Institute of Technology (US)
- Harvard University (US)
- Corresponding author
- Manalis, Scott R
- ORCID
- Venue
- Nature Methods
- Published
- 2010-04-11
- Volume
- 7
- Issue
- 5
- Pages
- 387-390
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- PMC
- PMC2862099
- OpenAlex
- W2134910569
- Cited by
- 394
- References
- 19
- Citations by year
- 2026: 10 · 2025: 9 · 2024: 24 · 2023: 14 · 2022: 30 · 2021: 27 · 2020: 24 · 2019: 25 · 2018: 34 · 2017: 40 · 2016: 28 · 2015: 23 · 2014: 30 · 2013: 26 · 2012: 21
- FWCI
- 14.37
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Methods (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (5p50gm068762-10)
- National Institute of General Medical Sciences (P50 GM68762, R01GM026875, P50-GM068762, R01GM085457)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Bio-sensing Technologies
- Physical Sciences › Engineering › Biomedical Engineering › Acoustic Wave Resonator Technologies
- Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Capillary Electrophoresis Applications
- Keywords
- suspended microchannel resonators, microfluidics, mass measurement, cell cycle, Bacillus subtilis, Escherichia coli, Saccharomyces cerevisiae, lymphoblasts, cellular heterogeneity
- MeSH terms
- Animals, Bacillus subtilis, Cell Cycle, Escherichia coli, Lymphocytes, Saccharomyces cerevisiae, Microfluidic Analytical Techniques, Cell Enlargement, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
