Evidence map›Paper›PMID 38760380›Full record

ArticleNature communications2024

High-throughput mechanical phenotyping and transcriptomics of single cells.

Akifumi Shiomi, Taikopaul Kaneko, Kaori Nishikawa, Arata Tsuchida, Takashi Isoshima, Mayuko Sato, Kiminori Toyooka, Kentaro Doi, Hidekazu Nishikii, Hirofumi Shintaku

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Mechanical signatures in cancer metastasis.npj biological physics and mechanics · 2025
    Review
  11. 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

10 authors.

Akifumi ShiomiCluster for Pioneering Research, RIKEN, Saitama, Japan.ORCID http://orcid.org/0000-0002-9277-2301
Taikopaul KanekoCluster for Pioneering Research, RIKEN, Saitama, Japan.ORCID http://orcid.org/0000-0003-1402-9157
Kaori NishikawaCluster for Pioneering Research, RIKEN, Saitama, Japan.
Arata TsuchidaCluster for Pioneering Research, RIKEN, Saitama, Japan.ORCID http://orcid.org/0009-0006-1523-4637
Takashi IsoshimaCluster for Pioneering Research, RIKEN, Saitama, Japan.ORCID http://orcid.org/0000-0002-3421-036X
Mayuko SatoCenter for Sustainable Resource Science, RIKEN, Yokohama, Japan.ORCID http://orcid.org/0000-0002-9876-5612
Kiminori ToyookaCenter for Sustainable Resource Science, RIKEN, Yokohama, Japan.ORCID http://orcid.org/0000-0002-6414-5191
Kentaro DoiDepartment of Mechanical Engineering, Toyohashi University of Technology, Toyohashi, Japan.ORCID http://orcid.org/0000-0002-2663-9369
Hidekazu NishikiiFaculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Hirofumi ShintakuCluster for Pioneering Research, RIKEN, Saitama, Japan. shintaku@infront.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0002-9972-4222

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) JP23H04724MEXT | JST | Core Research for Evolutional Science and Technology (CREST) JPMJCR2124
6 · The paper itself

Abstract

The molecular system regulating cellular mechanical properties remains unexplored at single-cell resolution mainly due to a limited ability to combine mechanophenotyping with unbiased transcriptional screening. Here, we describe an electroporation-based lipid-bilayer assay for cell surface tension and transcriptomics (ELASTomics), a method in which oligonucleotide-labelled macromolecules are imported into cells via nanopore electroporation to assess the mechanical state of the cell surface and are enumerated by sequencing. ELASTomics can be readily integrated with existing single-cell sequencing approaches and enables the joint study of cell surface mechanics and underlying transcriptional regulation at an unprecedented resolution. We validate ELASTomics via analysis of cancer cell lines from various malignancies and show that the method can accurately identify cell types and assess cell surface tension. ELASTomics enables exploration of the relationships between cell surface tension, surface proteins, and transcripts along cell lineages differentiating from the haematopoietic progenitor cells of mice. We study the surface mechanics of cellular senescence and demonstrate that RRAD regulates cell surface tension in senescent TIG-1 cells. ELASTomics provides a unique opportunity to profile the mechanical and molecular phenotypes of single cells and can dissect the interplay among these in a range of biological contexts.

Indexed as

Single-Cell AnalysisTranscriptomeAnimalsCell Line, TumorCell MembraneCellular SenescenceElectroporationGene Expression ProfilingHumansMicePhenotypeSurface Tension

Identifiers

PMID38760380
PMCPMC11101642

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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.