Evidence map›Paper›PMID 37041746›Full record

ReviewBiophysical journal2023

Understanding the driving force for cell migration plasticity.

Junjie Chen, Daniel Yan, Yun Chen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biophysical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Junjie ChenDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland; Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland; Center for Cell Dynamics, Johns Hopkins University, Baltimore, Maryland.
Daniel YanDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland; Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland; Center for Cell Dynamics, Johns Hopkins University, Baltimore, Maryland.
Yun ChenDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland; Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland; Center for Cell Dynamics, Johns Hopkins University, Baltimore, Maryland. Electronic address: yun.chen@jhu.edu.

Funding

Tension-Sensitive Drug Release System to Enhance Targeting SelectivityR21EB029677 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI CHEN, YUN · 2020 to 2020
$610k
High-Throughput, Multiplexing-Ready Intracellular Pressure ProbesR21GM146105 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI CHEN, YUN, LIN, CHENXIANG · 2022 to 2023
$465k
NIBIB NIH HHS R21 EB029677NIGMS NIH HHS R21 GM146105
6 · The paper itself

Abstract

Cell migration is a complex phenomenon. Not only do different cells migrate in different default modes, but the same cell can also change its migration mode to adapt to different terrains. This complexity has riddled cell biologists and biophysicists for decades in that, despite the development of many powerful tools over the past 30 years, how cells move is still being actively investigated. This is because we have yet to fully understand the mystery of cell migration plasticity, particularly the reciprocal relation between force generation and migration mode transition. Herein we explore the future directions, in terms of measurement platforms and imaging-based techniques, to facilitate the undertaking of elucidating the relation between force generation machinery and migration mode transition. By briefly reviewing the evolution of the platforms and techniques developed in the past, we propose the desirable features to be added to achieve high measurement accuracy and improved temporal and spatial resolution, permitting us to unveil the mystery of cell migration plasticity.

Indexed as

Mechanical PhenomenaCell Movement

Identifiers

PMID37041746
PMCPMC10541478

What OpenQuestion holds

Textmetadata
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.