Evidence map›Paper›PMID 36293228›Full record

ArticleInternational journal of molecular sciences2022

Quantitative Analysis of Collective Migration by Single-Cell Tracking Aimed at Understanding Cancer Metastasis.

Zhuohan Xin, Keiko Deguchi, Shin-Ichiro Suye, Satoshi Fujita

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Zhuohan XinDepartment of Advanced Interdisciplinary Science and Technology, University of Fukui, Fukui 910-8507, Japan.ORCID 0000-0003-2354-541X
Keiko DeguchiDepartment of Frontier Fiber Technology and Science, University of Fukui, Fukui 910-8507, Japan.
Shin-Ichiro SuyeDepartment of Advanced Interdisciplinary Science and Technology, University of Fukui, Fukui 910-8507, Japan.
Satoshi FujitaDepartment of Advanced Interdisciplinary Science and Technology, University of Fukui, Fukui 910-8507, Japan.ORCID 0000-0003-1438-6402
University of Fukui · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis is a major complication of cancer treatments. Studies of the migratory behavior of cells are needed to investigate and control metastasis. Metastasis is based on the epithelial-mesenchymal transition, in which epithelial cells acquire mesenchymal properties and the ability to leave the population to invade other regions of the body. In collective migration, highly migratory "leader" cells are found at the front of the cell population, as well as cells that "follow" these leader cells. However, the interactions between these cells are not well understood. We examined the migration properties of leader-follower cells during collective migration at the single-cell level. Different mixed ratios of "leader" and "follower" cell populations were compared. Collective migration was quantitatively analyzed from two perspectives: cell migration within the colony and migration of the entire colony. Analysis of the effect of the cell mixing ratio on migration behavior showed that a small number of highly migratory cells enhanced some of the migratory properties of other cells. The results provide useful insights into the cellular interactions in collective cell migration of cancer cell invasion.

Indexed as

Cell TrackingNeoplasmsCell CommunicationCell MovementEpithelial-Mesenchymal TransitionHumanscell interactioncollective migrationelectrospinningepithelial–mesenchymal transitionmetastasis

Identifiers

PMID36293228
PMCPMC9604284
OpenAlexW4306385347

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.