Evidence map›Paper›PMID 36313562›Full record

ArticleFrontiers in cell and developmental biology2022

The uniformity and stability of cellular mass density in mammalian cell culture.

Xili Liu, Seungeun Oh, Marc W Kirschner

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
12.7field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Normalized Raman Imaging for Studies of Tissue Physiology of the Kidney.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Spatio-Temporal Dynamics of MBulletin of mathematical biology · 2025
    Article
  14. Article
  15. Liposome-EncapsulatedACS synthetic biology · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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 at 1 institution in 1 country.

Xili LiuDepartment of Systems Biology, Harvard Medical School, Boston, MA, United States.
Seungeun OhDepartment of Systems Biology, Harvard Medical School, Boston, MA, United States.
Marc W KirschnerDepartment of Systems Biology, Harvard Medical School, Boston, MA, United States.
Harvard University · US

Funding

The dynamics and underlying mechanisms controlling cell size and canonical Wnt signalingR35GM145248 · NIGMS · HARVARD MEDICAL SCHOOL · PI MARC Wallace KIRSCHNER · 2022 to 2026
$3.9M
Reverse Engineering of Cell SenescenceR01AG073341 · NIA · HARVARD MEDICAL SCHOOL · PI MARC Wallace KIRSCHNER · 2022 to 2026
$3.3M
NIA NIH HHS R01 AG073341NIGMS NIH HHS R35 GM145248
6 · The paper itself

Abstract

Cell dry mass is principally determined by the sum of biosynthesis and degradation. Measurable change in dry mass occurs on a time scale of hours. By contrast, cell volume can change in minutes by altering the osmotic conditions. How changes in dry mass and volume are coupled is a fundamental question in cell size control. If cell volume were proportional to cell dry mass during growth, the cell would always maintain the same cellular mass density, defined as cell dry mass dividing by cell volume. The accuracy and stability against perturbation of this proportionality has never been stringently tested. Normalized Raman Imaging (NoRI), can measure both protein and lipid dry mass density directly

Indexed as

cell size controlcellular mass densitycell volume regulationmass density homeostasisnormalized Raman imaging

Identifiers

PMID36313562
PMCPMC9597509
OpenAlexW4304687606

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.